ClinicalTrials.gg
CompletedNCT02344290REPRIEVEUpdated Sep 4, 2025Results posted

Evaluating the Use of Pitavastatin to Reduce the Risk of Cardiovascular Disease in HIV-Infected Adults

A Phase 3 interventional study of Pitavastatin and Placebo in HIV and Cardiovascular Diseases, sponsored by National Institute of Allergy and Infectious Diseases (NIAID). Completed at 137 sites in 13 countries. Open to participants aged 40 Years to 75 Years. Per ClinicalTrials.gov, last updated 2025-09-04.

Sponsored by National Institute of Allergy and Infectious Diseases (NIAID) · Phase 3, Interventional, and Prevention

Phase
Phase 3
Study type
Interventional
Enrollment
7,769
Allocation
Randomized
Ages
40 Years to 75 Years
Sex
All
01

Study summary

People with HIV are at risk for cardiovascular disease (CVD). This study evaluated the use of pitavastatin to reduce the risk of CVD in adults with HIV on antiretroviral therapy (ART).

The REPRIEVE trial consisted of two parallel identical protocols:

  • REPRIEVE (A5332) was funded by the NHLBI, with additional infrastructure support provided by the NIAID, and was conducted in U.S and select international sites (approximately 120 sites in 11 countries).
  • REPRIEVE (EU5332) was co-sponsored by NEAT ID and MGH, and was conducted at 13 sites in Spain.
Read the detailed description

There are few strategies to prevent CVD in people with HIV (PWH), even though they are at high risk for developing CVD. Statin medications are used to lower cholesterol and may be effective at reducing the risk of CVD in PWH. The purpose of this study was to evaluate the use of pitavastatin to reduce the risk of CVD in PWH on ART.

This study enrolled PWH who were on any ART regimen (ART was not provided by the study) for at least 6 months before study entry and were at low to moderate risk of CVD using the 2013 American College of Cardiology (ACC)/American Heart Association (AHA) guideline thresholds for recommended statin initiation.

Participants were randomly assigned to receive 4 mg of pitavastatin or placebo once a day for their entire study duration. Pitavastatin or placebo could be discontinued and clinically indicated statin therapy initiated at the discretion of the site investigator or the participant's care provider, with the intention of following the participant according to the intention-to-treat trial design. Study visits occurred at study entry and Months 1 and 4. Starting at Month 4, study visits occurred every 4 months for the rest of the study. Depending on when participants enrolled, they were in the study for a total of 4 to 8 years. Study visits included medical and medication history reviews, physical examinations, blood collections, assessments and questionnaires, urine collections (for some participants), and an electrocardiogram (ECG) (at study entry only).

Participants at US sites had the option of enrolling in a substudy (Effects of Pitavastatin on Coronary Artery Disease and Inflammatory Biomarkers: Mechanistic Substudy of REPRIEVE [A5333s]). The substudy evaluated the effect of pitavastatin on the progression of non-calcified coronary atherosclerotic plaque (NCP) and inflammatory biomarkers in PWH. Participants in the substudy attended study visits at study entry and Months 4 and 24. The visits included questionnaires and assessments, a blood collection, and a coronary computed tomography angiography (CCTA). The Mechanistic Substudy closed to accrual on February 6, 2018, when its accrual target of 800 participants had been reached. Sites that enrolled participants into the Mechanistic Substudy are indicated with asterisk (*) at the end of the institution names in the Contacts and Locations section.

Participants enrolled in REPRIEVE from select study sites, including international sites, through December, 2017, were included in the REPRIEVE Kidney Function Objectives Cohort to evaluate the effects of pitavastatin on parameters of kidney function in the setting of HIV. These objectives include evaluating high risk groups and mechanisms driving kidney function decline in the setting of HIV.

Women and men enrolled in REPRIEVE after February, 2016 were included in an observational cohort (REPRIEVE Women's Objectives Cohort) facilitating assessment of sex-specific mechanisms of CVD risk and risk reduction among PWH. This effort also included an evidence-based recruitment campaign to enhance women's participation in REPRIEVE.

In response to the SARS-CoV-2 pandemic, a supplemental objective was added in 2020. To better understand how COVID-19 affects PWH and if pitavastatin may reduce the risk of serious COVID-19 disease, we evaluated interrelated but independent key topics including epidemiology, host factors, and protective strategies. Starting from April 2020, COVID-19 assessment was completed at each study visit, and blood was collected for COVID-19 biomarkers.

The data and safety monitoring board (DSMB) recommended stopping the trial for efficacy at the second planned review on March 30, 2023, and concluded that no unexpected safety concerns had been reported. Following the DSMB action, participants were asked to return for the final study visit. All final visits were completed by August 21, 2023. We here present the results based on the final trial database, including the full follow-up out to closeout visits.

02

Conditions studied

  • HIV
  • Cardiovascular Diseases

Keywords

  • HIV
  • Cardiovascular Disease
  • Myocardial Infarction
  • Inflammation
  • Statin
  • Computerized Tomography
  • Cholesterol
  • COVID-19
03

In context

Cardiovascular Diseases

5,368 studies on the registry are indexed under Cardiovascular Diseases; 939 are open to participants now.

This study's enrollment of 7,769 is above the median of 100 across 3,084 interventional studies indexed under Cardiovascular Diseases.

Browse Cardiovascular Diseases studies →

Lead sponsor

National Institute of Allergy and Infectious Diseases (NIAID) is the lead sponsor of 2,446 studies on the registry; 179 are open to participants now.

Of its 405 completed or terminated interventional studies of FDA-regulated products, 302 (75%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
40 Years to 75 Years
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Individual with -1
  • Combination antiretroviral therapy (ART) for at least 180 days prior to study entry
  • greater than 100 cells/mm\^3
  • Acceptable screening laboratories including:

    • Fasting low-density lipoprotein (LDL) cholesterol as follows:

      • If ASCVD risk score was less than 7.5%, LDL cholesterol must have been less than 190 mg/dL.
      • If ASCVD risk score was greater than or equal to 7.5% and less than or equal to 10%, LDL must have been less than 160 mg/dL.
      • If ASCVD risk score was greater than 10% and less than or equal to 15%, LDL must have been less than 130 mg/dL.
      • Participants with LDL less than 70 mg/dL were eligible regardless of the 10-year ASCVD risk score, in line with the ACC/AHA 2013 Prevention Guidelines.
    • Fasting triglycerides less than 500 mg/dL
    • greater than or equal to 8 g/dL for female participants and greater than or equal to 9 g/dL for male participants
    • (GFR) greater than or equal to 60 mL/min/1.73m\^2 or (CrCl) greater than or equal to 60 mL/min
    • (ALT) less than or equal to 2.5 x the (ULN)
  • For persons with known chronic active or C, calculated fibrosis 4 score (FIB-4) must have been less than or equal to 3.25
  • Ability and willingness of participant or legal representative to provide written

Exclusion criteria

Exclusion Criteria:

  • Clinical ASCVD, as defined by 2013 American College of Cardiology (ACC)/American Heart Association (AHA) guidelines, including a previous diagnosis of any of the following:

    • Acute myocardial infarction (AMI)
    • Acute coronary syndromes
    • Stable or unstable angina
    • Coronary or other arterial revascularization
    • Stroke
    • (TIA)
    • Peripheral arterial disease presumed to be of atherosclerotic origin
  • Current diabetes mellitus with LDL greater than or equal to 70 mg/dL
  • 10-year ASCVD risk score estimated by Pooled Cohort Equations greater than 15%
  • Active cancer within 12 months prior to study entry, except successfully treated non-melanomatous skin cancer and Kaposi sarcoma without visceral organ involvement
  • Known decompensated cirrhosis
  • History of myositis or myopathy with active disease in the 180 days prior to study entry
  • Known untreated symptomatic thyroid disease
  • History of allergy or severe adverse reaction to statins
  • Use of specific or immunomodulatory agents including but not limited to tacrolimus, sirolimus, rapamycin, mycophenolate, cyclosporine, tumor necrosis factor (TNF)-alpha blockers or antagonists, azathioprine, interferon, growth factors, or intravenous immunoglobulin (IVIG) in the 30 days prior to study entry.
  • Current use of erythromycin, colchicine, or rifampin
  • Use of any statin drugs, gemfibrozil, or PCSK9 inhibitors in the 90 days prior to study entry
  • Current use of an new drug that would be
  • Serious illness or trauma requiring systemic treatment or hospitalization in the 30 days prior to study entry
  • Current pregnancy or breastfeeding
  • Alcohol or drug use that, in the opinion of the site investigator, would interfere with completion of study procedures
  • Other medical, psychiatric, or psychological condition that, in the opinion of the site investigator, would interfere with completion of study procedures and or adherence to study drug
Terms in these criteria, in plain language(13)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

HIV

The human immunodeficiency virus, which weakens the immune system.

Many studies now accept people whose HIV is controlled on treatment, judged by the viral load and the CD4 count. Check the limits this study sets.

CD4 count

The number of CD4 cells, a type of white blood cell, in a given amount of blood. It is used to follow how well the immune system is doing in HIV.

Hemoglobin (Hb)

The protein in red blood cells that carries oxygen. A low level is anaemia, which can cause tiredness and breathlessness. Measured in g/dL or g/L (9 g/dL is 90 g/L).

GFR and eGFR (kidney filtering)

GFR (glomerular filtration rate) is how much blood the kidneys filter each minute. It is usually estimated from a blood test — eGFR, by formulas such as CKD-EPI or MDRD — and some studies ask for it to be measured directly instead. Usually given in mL/min/1.73 m².

Check the method, the units and the minimum the study states. A value of 90 or above is in the normal-or-high range, but kidney damage can show in other tests too.

Creatinine clearance (CrCl)

How quickly the kidneys clear creatinine, a waste product, from the blood. A study may estimate it from a blood test with age, weight and sex (often by the Cockcroft–Gault formula), or measure it using blood and urine collected over a set time. Given in mL/min; higher is better.

ALT and AST (liver enzymes)

Two enzymes measured in a routine blood test of the liver. Higher levels can mean the liver is under strain or damaged. SGPT and SGOT are older names for ALT and AST.

Criteria usually give a limit as a multiple of the upper limit of normal (ULN), often higher when cancer has spread to the liver.

ULN (upper limit of normal)

The top of the normal range for a blood test, as set by the laboratory that runs it. Each lab prints its own range next to your result.

“≤ 2.5 × ULN” means the result can be up to two and a half times that top value.

Hepatitis B tests

Hepatitis B is a virus that infects the liver. These are separate tests: HBsAg positive usually means a current infection (a recent vaccination can briefly cause it too); total anti-HBc (HBcAb) positive means an infection now or in the past; HBV DNA measures how much virus is in the blood.

Some studies accept a past infection if HBV DNA is undetectable, sometimes with antiviral medicine during the study. Check what this study allows.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

TIA (transient ischaemic attack)

A “mini-stroke”: temporary stroke-like symptoms caused by reduced blood flow to part of the brain, spinal cord or eye, without signs of a new stroke on a scan.

Stroke symptoms need emergency care at once, even if they go away.

Immunosuppression

A weakened immune system. It can come from an illness, such as HIV or some blood cancers, or from medicines that turn the immune system down, for example after an organ transplant or for an autoimmune disease; steroids at higher doses count.

Read whether the line is about a condition or about medicines, and which medicines and doses it means.

Investigational drug or device

A drug or device being studied in a clinical trial.

It may be new, or already approved and being studied for another use, dose or form. Criteria often leave out people who took part in another study of one within a recent period, commonly 30 days or five half-lives.

Contraindication

A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.

05

Study design

Phase
Phase 3
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Quadruple (Participant, Care provider, Investigator, Outcomes assessor)
Enrollment
7,769 participants (actual)

Study arms

  • Experimental
    Pitavastatin

    Participants received pitavastatin once a day for the entire time they were in study follow-up.

    Drug: Pitavastatin

  • Placebo comparator
    Placebo

    Participants received placebo for pitavastatin once a day for the entire time they were in study follow-up.

    Drug: Placebo

Interventions

  • One tablet (4 mg) taken once daily, orally with or without food

  • DrugPlacebo

    One tablet taken once daily, orally with or without food

06

What researchers measure

Primary outcomes

  1. Incidence Rate of Major Adverse Cardiovascular Event (MACE)

    MACE is a composite of cardiovascular (CV) death, myocardial infarction, hospitalization for unstable angina, stroke, transient ischemic attack (TIA), peripheral arterial ischemia, coronary, carotid or peripheral arterial revascularization, or death from an undetermined cause. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Non-CV deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

Secondary outcomes

  1. Incidence Rate of Cardiac Ischemia or Myocardial Infarction

    Cardiac ischemia or myocardial infarction component of the primary composite MACE outcome. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

  2. Incidence Rate of Cerebrovascular Event (Stroke or TIA)

    Cerebrovascular event (stroke or TIA) component of the primary composite MACE outcome. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

  3. Incidence Rate of Peripheral Arterial Ischemia

    Peripheral arterial ischemia component of the primary composite MACE outcome. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

  4. Incidence Rate of Death From CV Causes

    CV death component of the primary composite MACE outcome. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Non-CV deaths and deaths from undetermined causes were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

  5. Incidence Rate of Death From CV or Undetermined Causes

    CV or undetermined death component of the primary composite MACE outcome. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Non-CV deaths were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

  6. Incidence Rate of Cardiac Catheterization or Revascularization

    Cardiac cardiac catheterization or revascularization component of the primary composite MACE outcome. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

  7. Incidence Rate of Carotid or Cerebrovascular Revascularization

    Carotid or cerebrovascular revascularization component of the primary composite MACE outcome. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

  8. Incidence Rate of Peripheral Arterial Revascularization

    Peripheral arterial revascularization component of the primary composite MACE outcome. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

  9. Incidence Rate of MACE or Death

    A composite outcome including MACE and death from any cause. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

  10. Incidence Rate of Death (All-cause)

    Death from any cause. The incidence rates were estimated based on time to event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

  11. Incidence Rate of Non-CV Clinical Diagnoses

    A composite of non-CV clinical diagnoses including: non-AIDS-defining cancers (excluding basal cell and squamous cell carcinomas of the skin), AIDS-defining events (based on Centers for Disease Control and Prevention \[CDC\] 2014 classification), end-stage renal disease, and end-stage liver disease. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

  12. Incidence Rate of Non-AIDS-defining Cancer

    Non-AIDS-defining cancer (excluding basal cell and squamous cell carcinomas of the skin) component of the composite non-CV clinical diagnoses outcome. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

  13. Incidence Rate of AIDS-defining Event

    AIDS-defining event component of the composite non-CV clinical diagnoses outcome. Events were captured based on the Centers for Disease Control and Prevention \[CDC\] 2014 classification. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

  14. Incidence Rate of End-Stage Renal Disease

    End-stage renal disease (defined as initiation of dialysis or renal transplantation) component of the composite non-CV clinical diagnoses outcome. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

  15. Incidence Rate of End-Stage Liver Disease

    End-stage liver disease (defined as cirrhosis or hepatic decompensation requiring hospitalization) component of the composite non-CV clinical diagnoses outcome. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

  16. Incidence Rate of Non-fatal Serious Adverse Event

    Safety analysis outcome measure of non-fatal serious adverse event was defined by International Conference on Harmonisation (ICH) criteria. Fatal events were excluded as deaths were a secondary efficacy outcome (see outcome measure: incidence rate of death (all-cause)). The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated using incidence rate ratios from Poisson regression models (prescribed pitavastatin compared to placebo), adjusted for screening CD4 and sex. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

  17. Incidence Rate of Diabetes

    Safety analysis outcome measure of diabetes was defined as new diagnosis of diabetes with initiation of anti-diabetic agent. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated using incidence rate ratios from Poisson regression models (prescribed pitavastatin compared to placebo), adjusted for screening CD4 and sex. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

  18. Incidence Rate of Myalgia, Muscle Weakness or Myopathy

    Safety analysis outcome measure of myalgia, muscle weakness or myopathy which were grade 3 or higher or treatment-limiting. Grade 3 or higher includes grade 3 and 4 events, where grade 3 refers to severe and grade 4 to life-threatening according to DAIDS AE Grading Table (version 2.1). The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated using incidence rate ratios from Poisson regression models (prescribed pitavastatin compared to placebo), adjusted for screening CD4 and sex. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

  19. Incidence Rate of Rhabdomyolysis

    Safety analysis outcome measure of rhabdomyolysis which was grade 3 or higher or treatment-limiting. Grade 3 or higher includes grade 3 and 4 events, where grade 3 refers to severe and grade 4 to life-threatening, according to DAIDS AE Grading Table (version 2.1). The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated using incidence rate ratios from Poisson regression models (prescribed pitavastatin compared to placebo). Due to small number of events, there was no adjustment for screening CD4 and sex. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

  20. Incidence Rate of Grade 3 or Higher ALT

    Safety analysis outcome measure of Grade 3 or higher alanine transaminase (ALT). Grade 3 or higher includes grade 3 and 4 events, where grade 3 refers to severe and grade 4 to life-threatening, according to DAIDS AE Grading Table (version 2.1). The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated using incidence rate ratios from Poisson regression models (prescribed pitavastatin compared to placebo). Due to small number of events, there was no adjustment for screening CD4 and sex. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

  21. Incidence Rate of Adverse Event (AE)

    Safety analysis outcome measure of any AE. AE collection included events of grade ≥3, those that were serious (defined by International Conference on Harmonisation (ICH) criteria) or treatment-limiting, and targeted diagnosis of diabetes. Grade ≥3 includes events that were grade 3 (serious) or grade 4 (life-threatening) per DAIDS AE Grading Table (version 2.1). Fatal events were excluded as deaths were a secondary efficacy outcome (see outcome measure: incidence rate of death (all-cause)). The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated using incidence rate ratios from Poisson regression models (prescribed pitavastatin compared to placebo), adjusted for screening CD4 and sex. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

  22. Fasting Low-density Lipoprotein Cholesterol (LDL-C)

    LDL-C level was derived as LDL-C calculated according to the Friedewald formula at triglycerides ≤400 mg/dL, and direct LDL-C at triglycerides \>400 to \<500 mg/dL. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: At entry and months 12, 24, 36, 48, 60, 72, 84. Participants' follow-up time on study varied, depending on their time of enrollment.

  23. Fasting Non-high-density Lipoprotein Cholesterol (Non-HDL-C)

    Non-HDL cholesterol levels were calculated as total cholesterol minus HDL cholesterol. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: At entry and months 12, 24, 36, 48, 60, 72, 84. Participants' follow-up time on study varied, depending on their time of enrollment.

  24. Incidence Rate of Serious COVID-19

    Serious COVID-19 was defined as COVID-19 that resulted in hospitalization or death or was life-threatening as per the International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use Guideline E2A definition. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated using incidence rate ratios from Poisson regression models (prescribed pitavastatin compared to placebo), adjusted for GBD region to account for regional differences. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From January 1, 2020 through end of study; the median follow-up time was 3.3 years.

  25. Incidence Rate of COVID-19

    COVID-19 was defined as COVID-19 clinical diagnosis or positive test result (SARS-CoV-2 PCR or rapid antigen tests). The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated using incidence rate ratios (prescribed pitavastatin compared to placebo) from Poisson regression models, adjusted for GBD region to account for regional differences. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: From January 1, 2020 through end of study; the median follow-up time was 3.3 years.

  26. For Mechanistic Substudy: Change in Non-Calcified Plaque (NCP) Volume From Baseline to Year 2

    NCP was defined as plaque voxels with attenuation of \<350. Change in NCP is expressed as absolute change from baseline (calculated as NCP volume at 2 years minus NCP volume at entry), based on quantitative read of the CT scan, whenever available. Participants without a quantitative read and no evidence of NCP based on the corresponding qualitative read were assigned a value of zero for the change. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: Entry and Year 2.

  27. For Mechanistic Substudy: Number of Participants With Progression of NCP From Baseline to Year 2

    Progression at Year 2 was defined as any progression/increase in NCP volume in participants with evidence of NCP at entry, or incident NCP in participants without evidence of NCP at entry. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: Entry and year 2.

  28. For Mechanistic Substudy: Change in Total Plaque Volume From Baseline to Year 2

    Total plaque includes all plaque voxels (noncalcified + calcified). Change in total plaque volume is expressed as absolute change from baseline (calculated as volume at 2 years minus volume at entry). Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: Entry and year 2.

  29. For Mechanistic Substudy: LpPLA2 Level

    Level of inflammatory biomarker lipoprotein-associated phospholipase A2 (LpPLA2). Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: Entry and month 24.

  30. For Mechanistic Substudy: Change in LpPLA2 From Baseline

    Change in inflammatory biomarker LpPLA2 from baseline calculated as value at month 24 minus value at entry. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: Entry and month 24.

  31. For Mechanistic Substudy: HsCRP Level

    Level of inflammatory marker high-sensitivity C-reactive protein (HsCRP). Censored values below or above the assay limit were imputed. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: Entry and month 24.

  32. For Mechanistic Substudy: Change in HsCRP From Baseline

    Change in inflammatory biomarker hsCRP from baseline calculated as value at month 24 minus value at entry. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: Entry and month 24.

  33. For Mechanistic Substudy: Soluble CD163 Level

    Level of immune biomarker soluble CD163. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: Entry and month 24.

  34. For Mechanistic Substudy: Change in Soluble CD163 From Baseline

    Change in immune biomarker soluble CD163 from baseline calculated as value at month 24 minus value at entry. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

    Time frame: Entry and month 24.

Other outcomes

  1. Incidence Rate of MACE by Sex

    Subgroup analysis of the primary composite MACE outcome measure (as described above) by sex. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The Cox proportional hazards models described for the primary outcome above were expanded to include sex and interaction of sex and treatment, to evaluate modification of statin effect.

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

  2. Incidence Rate of MACE by Race

    Subgroup analysis of the primary composite MACE outcome measure (as described above) by race. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The Cox proportional hazards models described for the primary outcome above were expanded to include race and interaction of race and treatment, to evaluate modification of statin effect.

    Time frame: From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).

07

Results

Posted Oct 15, 2024

Participant flow

Participants were enrolled from March 26, 2015 to July 31, 2019.

Participant flow — Overall Study
MilestonePitavastatinPlacebo
Started38883881
Enrolled in mechanistic substudy402402
Completed mechanistic substudy349350
Completed32013201
Not completed687680
Withdrew: Withdrawal by subject315324
Withdrew: Lost to follow-up258249
Withdrew: Unable to get to clinic6960
Withdrew: Physician decision2525
Withdrew: Site closure1519
Withdrew: Other53

Outcome measures

PrimaryIncidence Rate of Major Adverse Cardiovascular Event (MACE)

MACE is a composite of cardiovascular (CV) death, myocardial infarction, hospitalization for unstable angina, stroke, transient ischemic attack (TIA), peripheral arterial ischemia, coronary, carotid or peripheral arterial revascularization, or death from an undetermined cause. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Non-CV deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 1000 person-years
Incidence Rate of Major Adverse Cardiovascular Event (MACE)
events per 1000 person-yearsPitavastatinPlacebo
Incidence Rate of Major Adverse Cardiovascular Event (MACE)4.95 (4.07 to 6.03)7.77 (6.64 to 9.08)
Statistical analysis
  • Pitavastatin vs Placebo · Hazard ratio (hr): 0.64 · 95% CI 0.48 to 0.84Hazard ratio is shown as pitavastatin/placebo. Two-sided 95% repeated confidence interval that adjusts for interim looks according to the realized Lan and DeMets implementation of the O'Brien-Fleming sequential stopping boundary is presented.
SecondaryIncidence Rate of Cardiac Ischemia or Myocardial Infarction

Cardiac ischemia or myocardial infarction component of the primary composite MACE outcome. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 1000 person-years
Incidence Rate of Cardiac Ischemia or Myocardial Infarction
events per 1000 person-yearsPitavastatinPlacebo
Incidence Rate of Cardiac Ischemia or Myocardial Infarction1.48 (1.03 to 2.11)2.65 (2.03 to 3.46)
Statistical analysis
  • Pitavastatin vs Placebo · Hazard ratio (hr): 0.56 · 95% CI 0.36 to 0.87Hazard ratio is shown as pitavastatin/placebo.
SecondaryIncidence Rate of Cerebrovascular Event (Stroke or TIA)

Cerebrovascular event (stroke or TIA) component of the primary composite MACE outcome. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 1000 person-years
Incidence Rate of Cerebrovascular Event (Stroke or TIA)
events per 1000 person-yearsPitavastatinPlacebo
Incidence Rate of Cerebrovascular Event (Stroke or TIA)1.53 (1.07 to 2.17)2.46 (1.86 to 3.24)
Statistical analysis
  • Pitavastatin vs Placebo · Hazard ratio (hr): 0.62 · 95% CI 0.40 to 0.97Hazard ratio is shown as pitavastatin/placebo.
SecondaryIncidence Rate of Peripheral Arterial Ischemia

Peripheral arterial ischemia component of the primary composite MACE outcome. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 1000 person-years
Incidence Rate of Peripheral Arterial Ischemia
events per 1000 person-yearsPitavastatinPlacebo
Incidence Rate of Peripheral Arterial Ischemia0.10 (0.02 to 0.39)0.15 (0.05 to 0.45)
Statistical analysis
  • Pitavastatin vs Placebo · Hazard ratio (hr): 0.67 · 95% CI 0.11 to 4.02Hazard ratio is shown as pitavastatin/placebo.
SecondaryIncidence Rate of Death From CV Causes

CV death component of the primary composite MACE outcome. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Non-CV deaths and deaths from undetermined causes were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 1000 person-years
Incidence Rate of Death From CV Causes
events per 1000 person-yearsPitavastatinPlacebo
Incidence Rate of Death From CV Causes0.69 (0.41 to 1.16)0.98 (0.63 to 1.51)
Statistical analysis
  • Pitavastatin vs Placebo · Hazard ratio (hr): 0.70 · 95% CI 0.35 to 1.38Hazard ratio is shown as pitavastatin/placebo.
SecondaryIncidence Rate of Death From CV or Undetermined Causes

CV or undetermined death component of the primary composite MACE outcome. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Non-CV deaths were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 1000 person-years
Incidence Rate of Death From CV or Undetermined Causes
events per 1000 person-yearsPitavastatinPlacebo
Incidence Rate of Death From CV or Undetermined Causes1.72 (1.23 to 2.39)2.54 (1.94 to 3.33)
Statistical analysis
  • Pitavastatin vs Placebo · Hazard ratio (hr): 0.67 · 95% CI 0.44 to 1.03Hazard ratio is shown as pitavastatin/placebo.
SecondaryIncidence Rate of Cardiac Catheterization or Revascularization

Cardiac cardiac catheterization or revascularization component of the primary composite MACE outcome. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 1000 person-years
Incidence Rate of Cardiac Catheterization or Revascularization
events per 1000 person-yearsPitavastatinPlacebo
Incidence Rate of Cardiac Catheterization or Revascularization1.08 (0.71 to 1.64)1.77 (1.27 to 2.45)
Statistical analysis
  • Pitavastatin vs Placebo · Hazard ratio (hr): 0.62 · 95% CI 0.36 to 1.05
SecondaryIncidence Rate of Carotid or Cerebrovascular Revascularization

Carotid or cerebrovascular revascularization component of the primary composite MACE outcome. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 1000 person-years
Incidence Rate of Carotid or Cerebrovascular Revascularization
events per 1000 person-yearsPitavastatinPlacebo
Incidence Rate of Carotid or Cerebrovascular Revascularization0 (NA to NA)0 (NA to NA)
SecondaryIncidence Rate of Peripheral Arterial Revascularization

Peripheral arterial revascularization component of the primary composite MACE outcome. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 1000 person-years
Incidence Rate of Peripheral Arterial Revascularization
events per 1000 person-yearsPitavastatinPlacebo
Incidence Rate of Peripheral Arterial Revascularization0 (NA to NA)0.29 (0.13 to 0.65)
Statistical analysis
  • Pitavastatin vs Placebo · Hazard ratio (hr): 0.00 · 95% CI 0.00 to 0.54
SecondaryIncidence Rate of MACE or Death

A composite outcome including MACE and death from any cause. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 1000 person-years
Incidence Rate of MACE or Death
events per 1000 person-yearsPitavastatinPlacebo
Incidence Rate of MACE or Death9.31 (8.07 to 10.75)12.02 (10.60 to 13.63)
Statistical analysis
  • Pitavastatin vs Placebo · Hazard ratio (hr): 0.77 · 95% CI 0.64 to 0.94Hazard ratio is shown as pitavastatin/placebo.
SecondaryIncidence Rate of Death (All-cause)

Death from any cause. The incidence rates were estimated based on time to event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 1000 person-years
Incidence Rate of Death (All-cause)
events per 1000 person-yearsPitavastatinPlacebo
Incidence Rate of Death (All-cause)6.18 (5.19 to 7.36)6.99 (5.93 to 8.23)
Statistical analysis
  • Pitavastatin vs Placebo · Hazard ratio (hr): 0.88 · 95% CI 0.70 to 1.12Hazard ratio is shown as pitavastatin/placebo.
SecondaryIncidence Rate of Non-CV Clinical Diagnoses

A composite of non-CV clinical diagnoses including: non-AIDS-defining cancers (excluding basal cell and squamous cell carcinomas of the skin), AIDS-defining events (based on Centers for Disease Control and Prevention \[CDC\] 2014 classification), end-stage renal disease, and end-stage liver disease. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 1000 person-years
Incidence Rate of Non-CV Clinical Diagnoses
events per 1000 person-yearsPitavastatinPlacebo
Incidence Rate of Non-CV Clinical Diagnoses9.17 (7.93 to 10.59)9.90 (8.61 to 11.38)
Statistical analysis
  • Pitavastatin vs Placebo · Hazard ratio (hr): 0.92 · 95% CI 0.76 to 1.13Hazard ratio is shown as pitavastatin/placebo.
SecondaryIncidence Rate of Non-AIDS-defining Cancer

Non-AIDS-defining cancer (excluding basal cell and squamous cell carcinomas of the skin) component of the composite non-CV clinical diagnoses outcome. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 1000 person-years
Incidence Rate of Non-AIDS-defining Cancer
events per 1000 person-yearsPitavastatinPlacebo
Incidence Rate of Non-AIDS-defining Cancer5.25 (4.34 to 6.36)5.68 (4.74 to 6.83)
Statistical analysis
  • Pitavastatin vs Placebo · Hazard ratio (hr): 0.93 · 95% CI 0.71 to 1.20Hazard ratio is shown as pitavastatin/placebo.
SecondaryIncidence Rate of AIDS-defining Event

AIDS-defining event component of the composite non-CV clinical diagnoses outcome. Events were captured based on the Centers for Disease Control and Prevention \[CDC\] 2014 classification. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 1000 person-years
Incidence Rate of AIDS-defining Event
events per 1000 person-yearsPitavastatinPlacebo
Incidence Rate of AIDS-defining Event3.36 (2.65 to 4.27)3.55 (2.82 to 4.47)
Statistical analysis
  • Pitavastatin vs Placebo · Hazard ratio (hr): 0.94 · 95% CI 0.68 to 1.31Hazard ratio is shown as pitavastatin/placebo.
SecondaryIncidence Rate of End-Stage Renal Disease

End-stage renal disease (defined as initiation of dialysis or renal transplantation) component of the composite non-CV clinical diagnoses outcome. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 1000 person-years
Incidence Rate of End-Stage Renal Disease
events per 1000 person-yearsPitavastatinPlacebo
Incidence Rate of End-Stage Renal Disease0.15 (0.05 to 0.46)0.24 (0.10 to 0.59)
Statistical analysis
  • Pitavastatin vs Placebo · Hazard ratio (hr): 0.60 · 95% CI 0.14 to 2.51Hazard ratio is shown as pitavastatin/placebo.
SecondaryIncidence Rate of End-Stage Liver Disease

End-stage liver disease (defined as cirrhosis or hepatic decompensation requiring hospitalization) component of the composite non-CV clinical diagnoses outcome. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated via cause-specific relative hazard (i.e. hazard ratio) of prescribed pitavastatin compared to placebo from Cox proportional hazards models, stratified by screening CD4 count and sex. Deaths (without preceding event of interest) were treated as competing events and censored. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 1000 person-years
Incidence Rate of End-Stage Liver Disease
events per 1000 person-yearsPitavastatinPlacebo
Incidence Rate of End-Stage Liver Disease0.59 (0.33 to 1.04)0.64 (0.37 to 1.10)
Statistical analysis
  • Pitavastatin vs Placebo · Hazard ratio (hr): 0.92 · 95% CI 0.42 to 2.02Hazard ratio is shown as pitavastatin/placebo.
SecondaryIncidence Rate of Non-fatal Serious Adverse Event

Safety analysis outcome measure of non-fatal serious adverse event was defined by International Conference on Harmonisation (ICH) criteria. Fatal events were excluded as deaths were a secondary efficacy outcome (see outcome measure: incidence rate of death (all-cause)). The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated using incidence rate ratios from Poisson regression models (prescribed pitavastatin compared to placebo), adjusted for screening CD4 and sex. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 100 person-years
Incidence Rate of Non-fatal Serious Adverse Event
events per 100 person-yearsPitavastatinPlacebo
Incidence Rate of Non-fatal Serious Adverse Event4.17 (3.88 to 4.48)4.18 (3.89 to 4.49)
Statistical analysis
  • Pitavastatin vs Placebo · Incidence rate ratio: 1.00 · 95% CI 0.90 to 1.10Incidence rate ratio is shown as pitavastatin/placebo.
SecondaryIncidence Rate of Diabetes

Safety analysis outcome measure of diabetes was defined as new diagnosis of diabetes with initiation of anti-diabetic agent. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated using incidence rate ratios from Poisson regression models (prescribed pitavastatin compared to placebo), adjusted for screening CD4 and sex. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 100 person-years
Incidence Rate of Diabetes
events per 100 person-yearsPitavastatinPlacebo
Incidence Rate of Diabetes1.18 (1.04 to 1.34)0.91 (0.79 to 1.06)
Statistical analysis
  • Pitavastatin vs Placebo · Incidence rate ratio: 1.29 · 95% CI 1.07 to 1.57Incidence rate ratio is shown as pitavastatin/placebo.
SecondaryIncidence Rate of Myalgia, Muscle Weakness or Myopathy

Safety analysis outcome measure of myalgia, muscle weakness or myopathy which were grade 3 or higher or treatment-limiting. Grade 3 or higher includes grade 3 and 4 events, where grade 3 refers to severe and grade 4 to life-threatening according to DAIDS AE Grading Table (version 2.1). The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated using incidence rate ratios from Poisson regression models (prescribed pitavastatin compared to placebo), adjusted for screening CD4 and sex. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 100 person-years
Incidence Rate of Myalgia, Muscle Weakness or Myopathy
events per 100 person-yearsPitavastatinPlacebo
Incidence Rate of Myalgia, Muscle Weakness or Myopathy0.46 (0.38 to 0.56)0.29 (0.23 to 0.38)
Statistical analysis
  • Pitavastatin vs Placebo · Incidence rate ratio: 1.58 · 95% CI 1.14 to 2.19Incidence rate ratio is shown as pitavastatin/placebo.
SecondaryIncidence Rate of Rhabdomyolysis

Safety analysis outcome measure of rhabdomyolysis which was grade 3 or higher or treatment-limiting. Grade 3 or higher includes grade 3 and 4 events, where grade 3 refers to severe and grade 4 to life-threatening, according to DAIDS AE Grading Table (version 2.1). The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated using incidence rate ratios from Poisson regression models (prescribed pitavastatin compared to placebo). Due to small number of events, there was no adjustment for screening CD4 and sex. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 100 person-years
Incidence Rate of Rhabdomyolysis
events per 100 person-yearsPitavastatinPlacebo
Incidence Rate of Rhabdomyolysis0.015 (0.005 to 0.046)0.020 (0.007 to 0.052)
Statistical analysis
  • Pitavastatin vs Placebo · Incidence rate ratio: 0.75 · 95% CI 0.17 to 3.37Incidence rate ratio is shown as pitavastatin/placebo.
SecondaryIncidence Rate of Grade 3 or Higher ALT

Safety analysis outcome measure of Grade 3 or higher alanine transaminase (ALT). Grade 3 or higher includes grade 3 and 4 events, where grade 3 refers to severe and grade 4 to life-threatening, according to DAIDS AE Grading Table (version 2.1). The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated using incidence rate ratios from Poisson regression models (prescribed pitavastatin compared to placebo). Due to small number of events, there was no adjustment for screening CD4 and sex. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 100 person-years
Incidence Rate of Grade 3 or Higher ALT
events per 100 person-yearsPitavastatinPlacebo
Incidence Rate of Grade 3 or Higher ALT0.059 (0.033 to 0.10)0.044 (0.023 to 0.085)
Statistical analysis
  • Pitavastatin vs Placebo · Incidence rate ratio: 1.34 · 95% CI 0.56 to 3.18Incidence rate ratio is shown as pitavastatin/placebo.
SecondaryIncidence Rate of Adverse Event (AE)

Safety analysis outcome measure of any AE. AE collection included events of grade ≥3, those that were serious (defined by International Conference on Harmonisation (ICH) criteria) or treatment-limiting, and targeted diagnosis of diabetes. Grade ≥3 includes events that were grade 3 (serious) or grade 4 (life-threatening) per DAIDS AE Grading Table (version 2.1). Fatal events were excluded as deaths were a secondary efficacy outcome (see outcome measure: incidence rate of death (all-cause)). The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated using incidence rate ratios from Poisson regression models (prescribed pitavastatin compared to placebo), adjusted for screening CD4 and sex. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 100 person-years
Incidence Rate of Adverse Event (AE)
events per 100 person-yearsPitavastatinPlacebo
Incidence Rate of Adverse Event (AE)8.83 (8.38 to 9.31)8.49 (8.05 to 8.95)
Statistical analysis
  • Pitavastatin vs Placebo · Incidence rate ratio: 1.04 · 95% CI 0.97 to 1.12Incidence rate ratio is shown as pitavastatin/placebo.
SecondaryFasting Low-density Lipoprotein Cholesterol (LDL-C)

LDL-C level was derived as LDL-C calculated according to the Friedewald formula at triglycerides ≤400 mg/dL, and direct LDL-C at triglycerides \>400 to \<500 mg/dL. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
At entry and months 12, 24, 36, 48, 60, 72, 84. Participants' follow-up time on study varied, depending on their time of enrollment.
Reported as:
Median · mg/dL
Fasting Low-density Lipoprotein Cholesterol (LDL-C)
mg/dLPitavastatinPlacebo
Entry: LDL-C107 (87 to 129)106 (86 to 127)
Month 12: LDL-C74 (58 to 92)105 (85 to 126)
Month 24: LDL-C75 (59 to 93)104 (84 to 126)
Month 36: LDL-C73 (57 to 92)104 (83 to 126)
Month 48: LDL-C73 (56 to 92)103 (83 to 124)
Month 60: LDL-C73 (56 to 93)103 (82 to 125)
Month 72: LDL-C74 (57 to 95)101 (82 to 122)
Month 84: LDL-C75 (59 to 98)98 (81 to 121)
SecondaryFasting Non-high-density Lipoprotein Cholesterol (Non-HDL-C)

Non-HDL cholesterol levels were calculated as total cholesterol minus HDL cholesterol. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
At entry and months 12, 24, 36, 48, 60, 72, 84. Participants' follow-up time on study varied, depending on their time of enrollment.
Reported as:
Median · mg/dL
Fasting Non-high-density Lipoprotein Cholesterol (Non-HDL-C)
mg/dLPitavastatinPlacebo
Entry: non-HDL-C133 (110 to 158)132 (108 to 157)
Month 12: non-HDL-C97 (80 to 118)131 (108 to 156)
Month 24: non-HDL-C98 (80 to 121)131 (108 to 156)
Month 36: non-HDL-C97 (78 to 118)130 (107 to 154)
Month 48: non-HDL-C96 (77 to 119)128 (106 to 154)
Month 60: non-HDL-C96 (78 to 120)127 (104 to 153)
Month 72: non-HDL-C95 (78 to 121)124 (104 to 150)
Month 84: non-HDL-C99 (80 to 124)123 (101 to 151)
SecondaryIncidence Rate of Serious COVID-19

Serious COVID-19 was defined as COVID-19 that resulted in hospitalization or death or was life-threatening as per the International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use Guideline E2A definition. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated using incidence rate ratios from Poisson regression models (prescribed pitavastatin compared to placebo), adjusted for GBD region to account for regional differences. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From January 1, 2020 through end of study; the median follow-up time was 3.3 years.
Reported as:
Number · events per 100 person-years
Incidence Rate of Serious COVID-19
events per 100 person-yearsPitavastatinPlacebo
Incidence Rate of Serious COVID-190.45 (0.34 to 0.59)0.60 (0.48 to 0.77)
Statistical analysis
  • Pitavastatin vs Placebo · Incidence rate ratio: 0.75 · 95% CI 0.52 to 1.08Incidence rate ratio is shown as pitavastatin/placebo.
SecondaryIncidence Rate of COVID-19

COVID-19 was defined as COVID-19 clinical diagnosis or positive test result (SARS-CoV-2 PCR or rapid antigen tests). The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The treatment effect was estimated using incidence rate ratios (prescribed pitavastatin compared to placebo) from Poisson regression models, adjusted for GBD region to account for regional differences. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
From January 1, 2020 through end of study; the median follow-up time was 3.3 years.
Reported as:
Number · events per 100 person-years
Incidence Rate of COVID-19
events per 100 person-yearsPitavastatinPlacebo
Incidence Rate of COVID-198.79 (8.22 to 9.39)8.35 (7.80 to 8.93)
Statistical analysis
  • Pitavastatin vs Placebo · Incidence rate ratio: 1.05 · 95% CI 0.96 to 1.16Incidence rate ratio is shown as pitavastatin/placebo.
SecondaryFor Mechanistic Substudy: Change in Non-Calcified Plaque (NCP) Volume From Baseline to Year 2

NCP was defined as plaque voxels with attenuation of \<350. Change in NCP is expressed as absolute change from baseline (calculated as NCP volume at 2 years minus NCP volume at entry), based on quantitative read of the CT scan, whenever available. Participants without a quantitative read and no evidence of NCP based on the corresponding qualitative read were assigned a value of zero for the change. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
Entry and Year 2.
Reported as:
Mean · mm^3
For Mechanistic Substudy: Change in Non-Calcified Plaque (NCP) Volume From Baseline to Year 2
mm^3Pitavastatin (Substudy)Placebo (Substudy)
For Mechanistic Substudy: Change in Non-Calcified Plaque (NCP) Volume From Baseline to Year 2-1.70 ± 25.22.62 ± 27.1
Statistical analysis
  • Pitavastatin (Substudy) vs Placebo (Substudy) · Regression, Linear · p = 0.04 · Mean difference (net): -4.3 · 95% CI -8.6 to -0.1Treatment group difference was estimated as baseline-adjusted mean difference in change at year 2, using linear regression.
SecondaryFor Mechanistic Substudy: Number of Participants With Progression of NCP From Baseline to Year 2

Progression at Year 2 was defined as any progression/increase in NCP volume in participants with evidence of NCP at entry, or incident NCP in participants without evidence of NCP at entry. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
Entry and year 2.
Reported as:
Count of participants · Participants
For Mechanistic Substudy: Number of Participants With Progression of NCP From Baseline to Year 2
ParticipantsPitavastatin (Substudy)Placebo (Substudy)
For Mechanistic Substudy: Number of Participants With Progression of NCP From Baseline to Year 25385
Statistical analysis
  • Pitavastatin (Substudy) vs Placebo (Substudy) · Chi-squared · p = 0.003 · Risk ratio (rr): 0.67 · 95% CI 0.52 to 0.88Treatment effect was estimated as relative risk (pitavastatin/placebo), adjusted for presence of NCP at entry.
SecondaryFor Mechanistic Substudy: Change in Total Plaque Volume From Baseline to Year 2

Total plaque includes all plaque voxels (noncalcified + calcified). Change in total plaque volume is expressed as absolute change from baseline (calculated as volume at 2 years minus volume at entry). Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
Entry and year 2.
Reported as:
Mean · mm^3
For Mechanistic Substudy: Change in Total Plaque Volume From Baseline to Year 2
mm^3Pitavastatin (Substudy)Placebo (Substudy)
For Mechanistic Substudy: Change in Total Plaque Volume From Baseline to Year 22.34 ± 28.76.89 ± 32.3
Statistical analysis
  • Pitavastatin (Substudy) vs Placebo (Substudy) · Mean difference (net): -4.3 · 95% CI -9.2 to 0.62Treatment group difference was estimated as baseline-adjusted difference in mean change at year 2, using linear regression.
SecondaryFor Mechanistic Substudy: LpPLA2 Level

Level of inflammatory biomarker lipoprotein-associated phospholipase A2 (LpPLA2). Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
Entry and month 24.
Reported as:
Median · ng/mL
For Mechanistic Substudy: LpPLA2 Level
ng/mLPitavastatin (Substudy)Placebo (Substudy)
Entry126 (94.8 to 169)131 (89.6 to 163)
Month 24119 (84.0 to 160)143 (105 to 186)
Statistical analysis
  • Pitavastatin (Substudy) vs Placebo (Substudy) · Wilcoxon (Mann-Whitney) · p = <0.001
SecondaryFor Mechanistic Substudy: Change in LpPLA2 From Baseline

Change in inflammatory biomarker LpPLA2 from baseline calculated as value at month 24 minus value at entry. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
Entry and month 24.
Reported as:
Median · ng/mL
For Mechanistic Substudy: Change in LpPLA2 From Baseline
ng/mLPitavastatin (Substudy)Placebo (Substudy)
For Mechanistic Substudy: Change in LpPLA2 From Baseline-9.77 (-33.6 to 16.8)19.9 (-5.6 to 43.0)
Statistical analysis
  • Pitavastatin (Substudy) vs Placebo (Substudy) · Wilcoxon (Mann-Whitney) · p = <0.001
SecondaryFor Mechanistic Substudy: HsCRP Level

Level of inflammatory marker high-sensitivity C-reactive protein (HsCRP). Censored values below or above the assay limit were imputed. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
Entry and month 24.
Reported as:
Median · mg/dL
For Mechanistic Substudy: HsCRP Level
mg/dLPitavastatin (Substudy)Placebo (Substudy)
Entry0.18 (0.08 to 0.39)0.18 (0.09 to 0.33)
Month 240.17 (0.07 to 0.36)0.19 (0.10 to 0.40)
Statistical analysis
  • Pitavastatin (Substudy) vs Placebo (Substudy) · Wilcoxon (Mann-Whitney) · p = 0.02
SecondaryFor Mechanistic Substudy: Change in HsCRP From Baseline

Change in inflammatory biomarker hsCRP from baseline calculated as value at month 24 minus value at entry. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
Entry and month 24.
Reported as:
Median · mg/mL
For Mechanistic Substudy: Change in HsCRP From Baseline
mg/mLPitavastatin (Substudy)Placebo (Substudy)
For Mechanistic Substudy: Change in HsCRP From Baseline-0.01 (-0.10 to 0.08)0.01 (-0.09 to 0.11)
Statistical analysis
  • Pitavastatin (Substudy) vs Placebo (Substudy) · Wilcoxon (Mann-Whitney) · p = 0.09
SecondaryFor Mechanistic Substudy: Soluble CD163 Level

Level of immune biomarker soluble CD163. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
Entry and month 24.
Reported as:
Median · ng/mL
For Mechanistic Substudy: Soluble CD163 Level
ng/mLPitavastatin (Substudy)Placebo (Substudy)
Entry849 (651 to 1163)845 (613 to 1074)
Month 241013 (728 to 1419)1003 (745 to 1384)
Statistical analysis
  • Pitavastatin (Substudy) vs Placebo (Substudy) · Wilcoxon (Mann-Whitney) · p = 0.65
SecondaryFor Mechanistic Substudy: Change in Soluble CD163 From Baseline

Change in immune biomarker soluble CD163 from baseline calculated as value at month 24 minus value at entry. Treatment discontinuation was ignored, including the initiation of statin therapy as part of clinical care (intention to treat policy).

Time frame:
Entry and month 24.
Reported as:
Median · ng/mL
For Mechanistic Substudy: Change in Soluble CD163 From Baseline
ng/mLPitavastatin (Substudy)Placebo (Substudy)
For Mechanistic Substudy: Change in Soluble CD163 From Baseline149 (-60.8 to 420)143 (-46.0 to 453)
Statistical analysis
  • Pitavastatin (Substudy) vs Placebo (Substudy) · Wilcoxon (Mann-Whitney) · p = 0.88
Other pre-specifiedIncidence Rate of MACE by Sex

Subgroup analysis of the primary composite MACE outcome measure (as described above) by sex. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The Cox proportional hazards models described for the primary outcome above were expanded to include sex and interaction of sex and treatment, to evaluate modification of statin effect.

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 1000 person-years
Incidence Rate of MACE by Sex
events per 1000 person-yearsPitavastatinPlacebo
Among females3.9 (2.7 to 5.8)6.2 (4.6 to 8.4)
Among males5.5 (4.4 to 6.9)8.5 (7.1 to 10.2)
Statistical analysis
  • Pitavastatin vs Placebo · Regression, Cox · p = 0.98Treatment effect modification by sex was evaluated via interaction of treatment and sex in the Cox proportional hazards regression model.
  • Pitavastatin vs Placebo · Hazard ratio (hr): 0.63 · 95% CI 0.39 to 1.04Hazard ratio is shown as pitavastatin/placebo among females.
  • Pitavastatin vs Placebo · Hazard ratio (hr): 0.64 · 95% CI 0.48 to 0.86Hazard ratio is shown as pitavastatin/placebo among males.
Other pre-specifiedIncidence Rate of MACE by Race

Subgroup analysis of the primary composite MACE outcome measure (as described above) by race. The incidence rates were estimated based on time to the first event using Poisson distribution, with follow-up time censored at last contact. The Cox proportional hazards models described for the primary outcome above were expanded to include race and interaction of race and treatment, to evaluate modification of statin effect.

Time frame:
From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).
Reported as:
Number · events per 1000 person-years
Incidence Rate of MACE by Race
events per 1000 person-yearsPitavastatinPlacebo
Among Asians1.6 (0.7 to 3.7)7.0 (4.6 to 10.6)
Among Blacks5.8 (4.3 to 7.7)8.7 (6.9 to 10.9)
Among Whites5.6 (4.1 to 7.7)7.5 (5.7 to 9.9)
Among Other5.0 (2.7 to 9.4)5.7 (3.1 to 10.6)
Statistical analysis
  • Pitavastatin vs Placebo · Regression, Cox · p = 0.14Treatment effect modification by race was evaluated via interaction of treatment and race in the Cox proportional hazards regression model.
  • Pitavastatin vs Placebo · Hazard ratio (hr): 0.22 · 95% CI 0.09 to 0.59
  • Pitavastatin vs Placebo · Hazard ratio (hr): 0.66 · 95% CI 0.46 to 0.96Hazard ratio is shown as pitavastatin/placebo among Blacks.
  • Pitavastatin vs Placebo · Hazard ratio (hr): 0.74 · 95% CI 0.49 to 1.13Hazard ratio is shown as pitavastatin/placebo among Whites.
  • Pitavastatin vs Placebo · Hazard ratio (hr): 0.87 · 95% CI 0.36 to 2.10

Adverse events

Collected over From entry through end of study. Follow-up time varied depending on time of enrollment (the median follow-up time was 5.6 years).. Non-serious events are listed at a 1% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Pitavastatin126/3,888 (3.2%)750/3,888 (19.3%)488/3,888 (12.6%)
Placebo143/3,881 (3.7%)755/3,881 (19.5%)420/3,881 (10.8%)
Most frequent serious events
Showing 10 of 415
Most frequent serious events
EventPitavastatinPlacebo
Lower respiratory tract and lung infectionsInfections and infestations71/388866/3881
Limb fractures and dislocationsInjury, poisoning and procedural complications43/388850/3881
Abdominal and gastrointestinal infectionsInfections and infestations36/388841/3881
Bacterial infections NECInfections and infestations41/388830/3881
Suicidal and self-injurious behaviourPsychiatric disorders33/388828/3881
Bronchospasm and obstructionRespiratory, thoracic and mediastinal disorders30/388822/3881
Renal failure and impairmentRenal and urinary disorders25/388824/3881
Pain and discomfort NECGeneral disorders16/388824/3881
Urinary tract infectionsInfections and infestations23/388815/3881
Pulmonary thrombotic and embolic conditionsRespiratory, thoracic and mediastinal disorders11/388821/3881
Most frequent other events
Most frequent other events
EventPitavastatinPlacebo
Diabetes mellitus (incl subtypes)Metabolism and nutrition disorders238/3888184/3881
Renal function analysesInvestigations125/3888122/3881
Muscle painsMusculoskeletal and connective tissue disorders77/388844/3881
General nutritional disorders NECMetabolism and nutrition disorders66/388844/3881
Physical examination procedures and organ system statusInvestigations62/388865/3881
Vascular hypertensive disorders NECVascular disorders37/388850/3881
Musculoskeletal and connective tissue pain and discomfortMusculoskeletal and connective tissue disorders40/388843/3881

Baseline characteristics

All participants enrolled.

Age, Continuous
Age, Continuous(years)PitavastatinPlaceboTotal
Median50 (45 to 55)50 (45 to 55)50 (45 to 55)
Age, Customized
Age, Customized(Participants)PitavastatinPlaceboTotal
40-49 years184218883730
50-59 years171216493361
≥60 years334344678
Sex/Gender, Customized
Sex/Gender, Customized(Participants)PitavastatinPlaceboTotal
Cisgender369136837374
Transgender6364127
Not reported134134268
Sex: Female, Male
Sex: Female, Male(Participants)PitavastatinPlaceboTotal
Female121112082419
Male267726735350
Ethnicity (NIH/OMB)
Ethnicity (NIH/OMB)(Participants)PitavastatinPlaceboTotal
Hispanic or Latino366332698
Not Hispanic or Latino157516113186
Unknown or Not Reported161834
Race/Ethnicity, Customized
Race/Ethnicity, Customized(Participants)PitavastatinPlaceboTotal
Black156916393208
White136413402704
Asian5715671138
Other384335719
Region of Enrollment
Region of Enrollment(participants)PitavastatinPlaceboTotal
Haiti6971140
United States189718903787
Thailand304286590
India246258504
Spain106107213
Canada6071131
Botswana145136281
Brazil5465531099
South Africa282288570
Uganda9685181
Zimbabwe6263125
Peru7573148
Global burden of disease (GBD) region
Global burden of disease (GBD) region(Participants)PitavastatinPlaceboTotal
High income204420514095
Latin America and Caribbean7097141423
Southeast or East Asia304286590
South Asia246258504
Sub-Saharan Africa5855721157

8 further baseline measures are reported on the registry.

08

Study locations

137 sites
  • Alabama CRS*
    Birmingham, Alabama 35294, United States
  • University of Arizona CRS
    Tucson, Arizona 85724, United States
  • University of Southern California CRS*
    Los Angeles, California 90033-1079, United States
  • UCLA CARE Center CRS*
    Los Angeles, California 90035, United States
  • Mills Clinical Research CRS
    Los Angeles, California 90069, United States
  • VA West Los Angeles Medical Center CRS
    Los Angeles, California 90073, United States
  • Los Angeles LGBT Center CRS
    Los Angeles, California 90232, United States
  • Eisenhower Health Center at Rimrock CRS
    Palm Springs, California 92264, United States
  • Stanford AIDS Clinical Trials Unit CRS
    Palo Alto, California 94304-5350, United States
  • UCSD Antiviral Research Center CRS*
    San Diego, California 92103, United States
  • Ucsf Hiv/Aids Crs*
    San Francisco, California 94110, United States
  • Harbor-UCLA CRS*
    Torrance, California 90502, United States
  • University of Colorado Hospital CRS*
    Aurora, Colorado 80045, United States
  • Denver Public Health CRS
    Denver, Colorado 80204, United States
  • Yale University CRS
    New Haven, Connecticut 06510, United States
  • VA Connecticut Healthcare System CRS
    West Haven, Connecticut 06516, United States
  • Whitman-Walker Health CRS
    Washington D.C., District of Columbia 20005, United States
  • Georgetown University CRS (GU CRS)
    Washington D.C., District of Columbia 20007, United States
  • Capital Medical Associates, PC CRS
    Washington D.C., District of Columbia 20036, United States
  • Infectious Diseases Clinic, Washington DC Veterans Affairs Medical Center CRS
    Washington D.C., District of Columbia 20422, United States
  • Malcom Randall VA Medical Center CRS
    Gainesville, Florida 32610, United States
  • AHF-The Kinder Medical Group CRS
    Miami, Florida 33133, United States
  • The University of Miami AIDS Clinical Research Unit (ACRU) CRS
    Miami, Florida 33136, United States
  • University of Miami Infectious Disease Research Unit at Jackson Memorial Hospital CRS
    Miami, Florida 33136, United States
  • AHF - South Beach CRS
    Miami, Florida 33140, United States
  • Orlando Immunology Center CRS
    Orlando, Florida 32803, United States
  • Community AIDS Network/Comprehensive Care Clinic CRS
    Sarasota, Florida 34237, United States
  • Florida Department of Health - Hillsborough County
    Tampa, Florida 33602, United States
  • AIDS Research and Treatment Center of the Treasure Coast CRS
    Vero Beach, Florida 32960, United States
  • The Ponce de Leon Center CRS
    Atlanta, Georgia 30308-2012, United States
  • Augusta University Research Institute, Inc. CRS
    Augusta, Georgia 30912, United States
  • Northwestern University CRS*
    Chicago, Illinois 60611, United States
  • Rush University CRS*
    Chicago, Illinois 60612, United States
  • UIC Project WISH CRS
    Chicago, Illinois 60612, United States
  • Indiana University Infectious Diseases Research CRS
    Indianapolis, Indiana 46202, United States
  • Department of Internal Medicine, University of Iowa Hospitals & Clinics CRS
    Iowa City, Iowa 52242, United States
  • Bluegrass Care Clinic/University of Kentucky Research Foundation CRS
    Lexington, Kentucky 40536, United States
  • 550 Clinic -University of Louisville CRS
    Louisville, Kentucky 40202, United States
  • Tulane - Louisiana Community AIDS Research Program (T-LaCARP) CRS
    New Orleans, Louisiana 70112, United States
  • Johns Hopkins University CRS*
    Baltimore, Maryland 21205, United States
  • Tufts Medical Center CRS
    Boston, Massachusetts 02111, United States
  • Massachusetts General Hospital CRS (MGH CRS)*
    Boston, Massachusetts 02114, United States
  • Brigham and Women's Hospital Therapeutics Clinical Research Site (BWH TCRS) CRS*
    Boston, Massachusetts 02115, United States
  • Boston Medical Center CRS
    Boston, Massachusetts 02118, United States
  • Baystate Infectious Diseases Clinical Research CRS
    Springfield, Massachusetts 01199, United States
  • Henry Ford Hosp. CRS
    Detroit, Michigan 48202, United States
  • St. John Newland Medical Associates CRS
    Southfield, Michigan 48075, United States
  • Abbott Northwestern Hospital CRS
    Minneapolis, Minnesota 55407, United States
  • University of Mississippi Medical Center CRS
    Jackson, Mississippi 39213, United States
  • Washington University Therapeutics (WT) CRS*
    St Louis, Missouri 63110-1010, United States
  • Specialty Care Center CRS
    Omaha, Nebraska 68106, United States
  • Cooper Univ. Hosp. CRS
    Camden, New Jersey 08103, United States
  • New Jersey Medical School Clinical Research Center CRS*
    Newark, New Jersey 07103, United States
  • Mount Sinai Beth Israel CRS*
    New York, New York 10003, United States
  • VA New York Harbor Healthcare System (NYHHS), NY Campus CRS
    New York, New York 10010, United States
  • Weill Cornell Chelsea CRS*
    New York, New York 10010, United States
  • Mount Sinai Downtown CRS*
    New York, New York 10011, United States
  • Mount Sinai West Samuels CRS*
    New York, New York 10019, United States
  • Mount Sinai St. Luke's Morningside CRS*
    New York, New York 10025, United States
  • Infectious Disease Clinical and Translational Research Center (CTRC) CRS
    New York, New York 10029, United States
  • Columbia P&S CRS*
    New York, New York 10032-3732, United States
  • Weill Cornell Uptown CRS*
    New York, New York 10065, United States
  • University of Rochester Adult HIV Therapeutic Strategies Network CRS*
    Rochester, New York 14642, United States
  • James J Peters VA Medical Center CRS
    The Bronx, New York 10468, United States
  • Chapel Hill CRS*
    Chapel Hill, North Carolina 27599, United States
  • Duke University Medical Center CRS
    Durham, North Carolina 27710, United States
  • Greensboro CRS*
    Greensboro, North Carolina 27401, United States
  • Wake Forest Baptist Medical Center CRS
    Winston-Salem, North Carolina 27157, United States
  • Cincinnati Clinical Research Site*
    Cincinnati, Ohio 45219, United States
  • Case Clinical Research Site*
    Cleveland, Ohio 44106, United States
  • Ohio State University CRS*
    Columbus, Ohio 43210, United States
  • University of Toledo Medical Center CRS
    Toledo, Ohio 43614, United States
  • Oklahoma State University Center for Health Sciences CRS
    Tulsa, Oklahoma 74127, United States
  • Division of Infectious Diseases Clinical Research Center- Drexel University CRS
    Philadelphia, Pennsylvania 19102, United States
  • Penn Therapeutics, CRS*
    Philadelphia, Pennsylvania 19104, United States
  • Center of Translational AIDS Research, Lewis Katz School of Medicine at Temple University CRS
    Philadelphia, Pennsylvania 19140, United States
  • Positive Health Clinic CRS
    Pittsburgh, Pennsylvania 15212, United States
  • University of Pittsburgh CRS*
    Pittsburgh, Pennsylvania 15213, United States
  • The Miriam Hospital Clinical Research Site (TMH CRS) CRS*
    Providence, Rhode Island 02906, United States
  • Medical University of South Carolina: Division of Infectious Diseases CRS
    Charleston, South Carolina 29425, United States
  • Prisma Health CRS
    Columbia, South Carolina 29209, United States
  • Vanderbilt Therapeutics (VT) CRS*
    Nashville, Tennessee 37204, United States
  • Trinity Health and Wellness Center CRS
    Dallas, Texas 75208, United States
  • Dallas VA Medical Center CRS
    Dallas, Texas 75216, United States
  • UT Southwestern HIV/ID Clinical Trials Unit CRS
    Dallas, Texas 75235-9173, United States
  • Houston AIDS Research Team CRS*
    Houston, Texas 77030, United States
  • Michael E. DeBakey VAMC REPRIEVE CRS
    Houston, Texas 77030, United States
  • Inova Heart and Vascular Institute CRS
    Falls Church, Virginia 22042, United States
  • Virginia Commonwealth University CRS
    Richmond, Virginia 23298, United States
  • University of Washington AIDS CRS*
    Seattle, Washington 98104-9929, United States
  • Medical College of Wisconsin, Inc. CRS
    Milwaukee, Wisconsin 53226, United States
  • Gaborone CRS
    Gaborone, South-East District, Botswana
  • Tropical Medicine Foundation Dr. Heitor Vieira Dourado CRS
    Manaus, Amazonas 69040000, Brazil
  • School of Medicine, Federal University of Minas Gerais CRS
    Belo Horizonte, Minas Gerais 30130-100, Brazil
  • HGNI HIV Family Care Clinic - HHFCC CRS
    Nova Iguaçu, Rio de Janeiro 26030-380, Brazil
  • Hospital Nossa Senhora da Conceicao CRS
    Porto Alegre, Rio Grande do Sul 91350-200, Brazil
  • Centro de Referencia e Treinamento DST/AIDS CRS
    São Paulo, São Paulo 04121-000, Brazil
  • Projeto Praça Onze Pesquisa em Saúde CRS
    Rio de Janeiro, 20020-000, Brazil
  • Hospital Federal dos Servidores do Estado CRS
    Rio de Janeiro, 20221-903, Brazil
  • Instituto de Pesquisa Clinica Evandro Chagas (IPEC) CRS
    Rio de Janeiro, 21040-360, Brazil

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09

References and documents

Publications

  • Goff DC Jr, Lloyd-Jones DM, Bennett G, Coady S, D'Agostino RB Sr, Gibbons R, Greenland P, Lackland DT, Levy D, O'Donnell CJ, Robinson JG, Schwartz JS, Shero ST, Smith SC Jr, Sorlie P, Stone NJ, Wilson PWF. 2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2014 Jul 1;63(25 Pt B):2935-2959. doi: 10.1016/j.jacc.2013.11.005. Epub 2013 Nov 12. No abstract available. PubMed 24239921 ↗
  • Zanni MV, Fitch K, Rivard C, Sanchez L, Douglas PS, Grinspoon S, Smeaton L, Currier JS, Looby SE. Follow YOUR Heart: development of an evidence-based campaign empowering older women with HIV to participate in a large-scale cardiovascular disease prevention trial. HIV Clin Trials. 2017 Mar;18(2):83-91. doi: 10.1080/15284336.2017.1297551. PubMed 28277924 ↗
  • Grinspoon SK, Fitch KV, Overton ET, Fichtenbaum CJ, Zanni MV, Aberg JA, Malvestutto C, Lu MT, Currier JS, Sponseller CA, Waclawiw M, Alston-Smith B, Cooper-Arnold K, Klingman KL, Desvigne-Nickens P, Hoffmann U, Ribaudo HJ, Douglas PS; REPRIEVE Investigators. Rationale and design of the Randomized Trial to Prevent Vascular Events in HIV (REPRIEVE). Am Heart J. 2019 Jun;212:23-35. doi: 10.1016/j.ahj.2018.12.016. Epub 2019 Mar 4. PubMed 30928825 ↗
  • Hoffmann U, Lu MT, Olalere D, Adami EC, Osborne MT, Ivanov A, Aluru JS, Lee S, Arifovic N, Overton ET, Fichtenbaum CJ, Aberg JA, Alston-Smith B, Klingman KL, Waclawiw M, Burdo TH, Williams KC, Zanni MV, Desvigne-Nickens P, Cooper-Arnold K, Fitch KV, Ribaudo H, Douglas PS, Grinspoon SK; REPRIEVE Investigators. Rationale and design of the Mechanistic Substudy of the Randomized Trial to Prevent Vascular Events in HIV (REPRIEVE): Effects of pitavastatin on coronary artery disease and inflammatory biomarkers. Am Heart J. 2019 Jun;212:1-12. doi: 10.1016/j.ahj.2019.02.011. Epub 2019 Mar 4. PubMed 30928823 ↗
  • Grinspoon SK, Douglas PS, Hoffmann U, Ribaudo HJ. Leveraging a Landmark Trial of Primary Cardiovascular Disease Prevention in Human Immunodeficiency Virus: Introduction From the REPRIEVE Coprincipal Investigators. J Infect Dis. 2020 Jul 9;222(Suppl 1):S1-S7. doi: 10.1093/infdis/jiaa098. PubMed 32645161 ↗
  • Fitch KV, Kileel EM, Looby SE, Zanni MV, Sanchez LR, Fichtenbaum CJ, Overton ET, Malvestutto C, Aberg JA, Klingman KL, Alston-Smith B, Lavelle J, Rancourt A, Badal-Faesen S, Cardoso SW, Avihingsanon A, Patil S, Sponseller CA, Melbourne K, Ribaudo HJ, Cooper-Arnold K, Desvigne-Nickens P, Hoffmann U, Douglas PS, Grinspoon SK; REPRIEVE Investigators. Successful recruitment of a multi-site international randomized placebo-controlled trial in people with HIV with attention to diversity of race and ethnicity: critical role of central coordination. HIV Res Clin Pract. 2020 Feb;21(1):11-23. doi: 10.1080/25787489.2020.1733794. Epub 2020 Mar 11. PubMed 32160827 ↗
  • Overton ET, Kantor A, Fitch KV, Muntner P, Supparatpinyo K, Mosepele M, Mohapi L, Cardoso SW, Patil S, de Lacerda MVG, McComsey G, Aberg JA, Douglas PS, Grinspoon SK, Ribaudo H, Wyatt CM. An Evaluation of Baseline Kidney Function in the REPRIEVE Trial of Pitavastatin in Human Immunodeficiency Virus. J Infect Dis. 2020 Jul 9;222(Suppl 1):S41-S51. doi: 10.1093/infdis/jiaa222. PubMed 32645164 ↗
  • Fichtenbaum CJ, Ribaudo HJ, Leon-Cruz J, Overton ET, Zanni MV, Malvestutto CD, Aberg JA, Kileel EM, Fitch KV, Van Schalkwyk M, Kumarasamy N, Martinez E, Santos BR, Joseph Y, Lo J, Siminski S, Melbourne K, Sponseller CA, Desvigne-Nickens P, Bloomfield GS, Currier JS, Hoffmann U, Douglas PS, Grinspoon SK; REPRIEVE Investigators. Patterns of Antiretroviral Therapy Use and Immunologic Profiles at Enrollment in the REPRIEVE Trial. J Infect Dis. 2020 Jul 9;222(Suppl 1):S8-S19. doi: 10.1093/infdis/jiaa259. PubMed 32645162 ↗
  • Smeaton LM, Kileel EM, Grinsztejn B, Gardner EM, Starr K, Murry ML, Desvigne-Nickens P, Alston-Smith B, Waclawiw MA, Cooper-Arnold K, Madruga JV, Sangle S, Fitch KV, Zanni MV, Douglas PS, Ribaudo HJ, Grinspoon SK, Klingman KL. Characteristics of REPRIEVE Trial Participants Identifying Across the Transgender Spectrum. J Infect Dis. 2020 Jul 9;222(Suppl 1):S31-S40. doi: 10.1093/infdis/jiaa213. PubMed 32645160 ↗
  • Zanni MV, Currier JS, Kantor A, Smeaton L, Rivard C, Taron J, Burdo TH, Badal-Faesen S, Lalloo UG, Pinto JA, Samaneka W, Valencia J, Klingman K, Allston-Smith B, Cooper-Arnold K, Desvigne-Nickens P, Lu MT, Fitch KV, Hoffman U, Grinspoon SK, Douglas PS, Looby SE. Correlates and Timing of Reproductive Aging Transitions in a Global Cohort of Midlife Women With Human Immunodeficiency Virus: Insights From the REPRIEVE Trial. J Infect Dis. 2020 Jul 9;222(Suppl 1):S20-S30. doi: 10.1093/infdis/jiaa214. PubMed 32645159 ↗
  • Neilan TG, Nguyen KL, Zaha VG, Chew KW, Morrison L, Ntusi NAB, Toribio M, Awadalla M, Drobni ZD, Nelson MD, Burdo TH, Van Schalkwyk M, Sax PE, Skiest DJ, Tashima K, Landovitz RJ, Daar E, Wurcel AG, Robbins GK, Bolan RK, Fitch KV, Currier JS, Bloomfield GS, Desvigne-Nickens P, Douglas PS, Hoffmann U, Grinspoon SK, Ribaudo H, Dawson R, Goetz MB, Jain MK, Warner A, Szczepaniak LS, Zanni MV. Myocardial Steatosis Among Antiretroviral Therapy-Treated People With Human Immunodeficiency Virus Participating in the REPRIEVE Trial. J Infect Dis. 2020 Jul 9;222(Suppl 1):S63-S69. doi: 10.1093/infdis/jiaa245. PubMed 32645158 ↗
  • Douglas PS, Umbleja T, Bloomfield GS, Fichtenbaum CJ, Zanni MV, Overton ET, Fitch KV, Kileel EM, Aberg JA, Currier J, Sponseller CA, Melbourne K, Avihingsanon A, Bustorff F, Estrada V, Ruxrungtham K, Saumoy M, Navar AM, Hoffmann U, Ribaudo HJ, Grinspoon S. Cardiovascular Risk and Health Among People With Human Immunodeficiency Virus (HIV) Eligible for Primary Prevention: Insights From the REPRIEVE Trial. Clin Infect Dis. 2021 Dec 6;73(11):2009-2022. doi: 10.1093/cid/ciab552. PubMed 34134131 ↗
  • Hoffmann U, Lu MT, Foldyna B, Zanni MV, Karady J, Taron J, Zhai BK, Burdo T, Fitch KV, Kileel EM, Williams K, Fichtenbaum CJ, Overton ET, Malvestutto C, Aberg J, Currier J, Sponseller CA, Melbourne K, Floris-Moore M, Van Dam C, Keefer MC, Koletar SL, Douglas PS, Ribaudo H, Mayrhofer T, Grinspoon SK; REPRIEVE trial. Assessment of Coronary Artery Disease With Computed Tomography Angiography and Inflammatory and Immune Activation Biomarkers Among Adults With HIV Eligible for Primary Cardiovascular Prevention. JAMA Netw Open. 2021 Jun 1;4(6):e2114923. doi: 10.1001/jamanetworkopen.2021.14923. PubMed 34185068 ↗
  • Kileel EM, Lo J, Malvestutto C, Fitch KV, Zanni MV, Fichtenbaum CJ, Overton ET, Okeke NL, Kumar P, Joao E, Aberg JA, Martinez E, Currier JS, Douglas PS, Ribaudo HJ, Grinspoon SK. Assessment of Obesity and Cardiometabolic Status by Integrase Inhibitor Use in REPRIEVE: A Propensity-Weighted Analysis of a Multinational Primary Cardiovascular Prevention Cohort of People With Human Immunodeficiency Virus. Open Forum Infect Dis. 2021 Nov 20;8(12):ofab537. doi: 10.1093/ofid/ofab537. eCollection 2021 Dec. PubMed 34888395 ↗
  • Fulda ES, Fitch KV, Overton ET, Zanni MV, Aberg JA, Currier JS, Lu MT, Malvestutto C, Fichtenbaum CJ, Martinez E, Umbleja T, Douglas PS, Ribaudo HJ, Grinspoon SK. COVID-19 Vaccination Rates in a Global HIV Cohort. J Infect Dis. 2022 Feb 15;225(4):603-607. doi: 10.1093/infdis/jiab575. PubMed 34794178 ↗
  • Bloomfield GS, Weir IR, Ribaudo HJ, Fitch KV, Fichtenbaum CJ, Moran LE, Bedimo R, de Filippi C, Morse CG, Piccini J, Zanni MV, Lu MT, Hoffmann U, Grinspoon SK, Douglas PS. Prevalence and Correlates of Electrocardiographic Abnormalities in Adults With HIV: Insights From the Randomized Trial to Prevent Vascular Events in HIV (REPRIEVE). J Acquir Immune Defic Syndr. 2022 Mar 1;89(3):349-359. doi: 10.1097/QAI.0000000000002877. PubMed 35147583 ↗
  • Erlandson KM, Fitch KV, McCallum SA, Ribaudo HJ, Overton ET, Zanni MV, Bloomfield GS, Brown TT, Fichtenbaum CJ, Bares S, Aberg JA, Douglas PS, Fulda ES, Santana-Bagur JL, Castro JG, Moran LE, Mave V, Supparatpinyo K, Ponatshego PL, Schechter M, Grinspoon SK. Geographical Differences in the Self-Reported Functional Impairment of People With Human Immunodeficiency Virus (HIV) and Associations With Cardiometabolic Risk. Clin Infect Dis. 2022 Sep 30;75(7):1154-1163. doi: 10.1093/cid/ciac098. PubMed 35165682 ↗
  • Looby SE, Kantor A, Burdo TH, Currier JS, Fichtenbaum CJ, Overton ET, Aberg JA, Malvestutto CD, Bloomfield GS, Erlandson KM, Cespedes M, Kallas EG, Masia M, Thornton AC, Smith MD, Flynn JM, Kileel EM, Fulda E, Fitch KV, Lu MT, Douglas PS, Grinspoon SK, Ribaudo HJ, Zanni MV. Factors Associated With Systemic Immune Activation Indices in a Global Primary Cardiovascular Disease Prevention Cohort of People With Human Immunodeficiency Virus on Antiretroviral Therapy. Clin Infect Dis. 2022 Oct 12;75(8):1324-1333. doi: 10.1093/cid/ciac166. PubMed 35235653 ↗
  • Overton ET, Weir IR, Zanni MV, Fischinger S, MacArthur RD, Aberg JA, Fitch KV, Frank M, Albrecht H, Goodenough E, Rhame FS, Fichtenbaum CJ, Bloomfield GS, Malvestutto C, Supparatpinyo K, McCallum S, Douglas PS, Alter G, Ribaudo H, Grinspoon SK. Asymptomatic SARS-CoV-2 Infection Is Common Among ART-Treated People With HIV. J Acquir Immune Defic Syndr. 2022 Aug 1;90(4):377-381. doi: 10.1097/QAI.0000000000003000. PubMed 35413022 ↗
  • Fitch KV, McCallum SA, Erlandson KM, Overton ET, Zanni MV, Fichtenbaum C, Aberg JA, Fulda ES, Kileel EM, Moran LE, Bloomfield GS, Novak RM, Perez-Frontera S, Abrams-Downey A, Pierone G Jr, Kumarasamy N, Ruxrungtham K, Mngqibisa R, Douglas PS, Ribaudo HJ, Grinspoon SK. Diet in a global cohort of adults with HIV at low-to-moderate traditional cardiovascular disease risk. AIDS. 2022 Nov 15;36(14):1997-2003. doi: 10.1097/QAD.0000000000003344. Epub 2022 Jul 27. PubMed 35876637 ↗
  • Kolossvary M, deFilippi C, Lu MT, Zanni MV, Fulda ES, Foldyna B, Ribaudo H, Mayrhofer T, Collier AC, Bloomfield GS, Fichtenbaum C, Overton ET, Aberg JA, Currier J, Fitch KV, Douglas PS, Grinspoon SK. Proteomic Signature of Subclinical Coronary Artery Disease in People With HIV: Analysis of the REPRIEVE Mechanistic Substudy. J Infect Dis. 2022 Nov 11;226(10):1809-1822. doi: 10.1093/infdis/jiac196. PubMed 35535576 ↗
  • Zanni MV, Foldyna B, McCallum S, Burdo TH, Looby SE, Fitch KV, Fulda ES, Autissier P, Bloomfield GS, Malvestutto CD, Fichtenbaum CJ, Overton ET, Aberg JA, Erlandson KM, Campbell TB, Ellsworth GB, Sheth AN, Taiwo B, Currier JS, Hoffmann U, Lu MT, Douglas PS, Ribaudo HJ, Grinspoon SK. Sex Differences in Subclinical Atherosclerosis and Systemic Immune Activation/Inflammation Among People With Human Immunodeficiency Virus in the United States. Clin Infect Dis. 2023 Jan 13;76(2):323-334. doi: 10.1093/cid/ciac767. PubMed 36101518 ↗
  • Schnittman SR, Lu MT, Mayrhofer T, Burdo TH, Fitch KV, McCallum S, Fulda ES, Zanni MV, Foldyna B, Malvestutto C, Fichtenbaum CJ, Aberg JA, Bloomfield GS, Overton ET, Currier J, Tebas P, Sha BE, Ribaudo HJ, Flynn JM, Douglas PS, Erlandson KM, Grinspoon SK. Cytomegalovirus Immunoglobulin G (IgG) Titer and Coronary Artery Disease in People With Human Immunodeficiency Virus (HIV). Clin Infect Dis. 2023 Feb 8;76(3):e613-e621. doi: 10.1093/cid/ciac662. PubMed 35975297 ↗
  • Douglas PS, McCallum S, Lu MT, Umbleja T, Fitch KV, Foldyna B, Zanni MV, Fulda ES, Bloomfield GS, Fichtenbaum CJ, Overton ET, Aberg JA, Malvestutto CD, Burdo TH, Arduino RC, Ho KS, Yin MT, Ribaudo HJ, Grinspoon SK. Ideal cardiovascular health, biomarkers, and coronary artery disease in persons with HIV. AIDS. 2023 Mar 1;37(3):423-434. doi: 10.1097/QAD.0000000000003418. Epub 2022 Nov 18. PubMed 36525544 ↗
  • Fulda ES, Fichtenbaum CJ, Kileel EM, Zanni MV, Aberg JA, Malvestutto C, Cardoso SW, Berzins B, Lira R, Harden R, Robbins G, Martinez M, Nieves SD, McCallum S, Cruz JL, Umbleja T, Sprenger H, Giguel F, Bone F, Wood K, Byroads M, Paradis K, Lu MT, Douglas PS, Ribaudo HJ, Grinspoon SK, Fitch KV; REPRIEVE Investigators. The importance of methods for site performance evaluation in REPRIEVE, a longitudinal, global, multicenter trial. Contemp Clin Trials. 2023 Jan;124:107035. doi: 10.1016/j.cct.2022.107035. Epub 2022 Nov 30. PubMed 36462699 ↗
  • Schnittman SR, Jung W, Fitch KV, Zanni MV, McCallum S, Lee JS, Shin S, Davis BJ, Fulda ES, Diggs MR, Giguel F, Chinchay R, Sheth AN, Fichtenbaum CJ, Malvestutto C, Aberg JA, Currier J, Lauffenburger DA, Douglas PS, Ribaudo HJ, Alter G, Grinspoon SK. Effect of host factors and COVID-19 infection on the humoral immune repertoire in treated HIV. JCI Insight. 2023 Mar 8;8(5):e166848. doi: 10.1172/jci.insight.166848. PubMed 36805331 ↗
  • Kileel EM, Malvestutto CD, Lo J, Fitch KV, Fichtenbaum CJ, Aberg JA, Zanni MV, Martinez E, Okeke NL, Kumar P, Joao E, Bares SH, Berrner D, Smieja M, Roa JC, McCallum S, Douglas PS, Ribaudo HJ, Grinspoon SK. Changes in Body Mass Index with Longer-term Integrase Inhibitor Use: A Longitudinal Analysis of Data from the Randomized Trial to Prevent Vascular Events in Human Immunodeficiency Virus (REPRIEVE). Clin Infect Dis. 2023 Jun 8;76(11):2010-2013. doi: 10.1093/cid/ciad107. PubMed 36825498 ↗
  • Schnittman SR, Kitch DW, Swartz TH, Burdo TH, Fitch KV, McCallum S, Flynn JM, Fulda ES, Diggs MR, Stapleton JT, Casado JL, Taron J, Currier JS, Zanni MV, Malvestutto C, Fichtenbaum CJ, Aberg JA, Ribaudo HJ, Lu MT, Douglas PS, Grinspoon SK. Coronary Artery Plaque Composition and Severity Relate to the Inflammasome in People With Treated Human Immunodeficiency Virus. Open Forum Infect Dis. 2023 Mar 1;10(3):ofad106. doi: 10.1093/ofid/ofad106. eCollection 2023 Mar. PubMed 36998633 ↗
  • Kolossvary M, deFilippi C, McCallum S, Fitch KV, Diggs MR, Fulda ES, Ribaudo HJ, Fichtenbaum CJ, Aberg JA, Malvestutto CD, Currier JS, Casado JL, Gutierrez F, Sereti I, Douglas PS, Zanni MV, Grinspoon SK. Identification of pre-infection markers and differential plasma protein expression following SARS-CoV-2 infection in people living with HIV. EBioMedicine. 2023 Apr;90:104538. doi: 10.1016/j.ebiom.2023.104538. Epub 2023 Mar 24. PubMed 36966617 ↗
  • Foldyna B, Mayrhofer T, Zanni MV, Lyass A, Barve R, Karady J, McCallum S, Burdo TH, Fitch KV, Paradis K, Fulda ES, Diggs MR, Bloomfield GS, Malvestutto CD, Fichtenbaum CJ, Aberg JA, Currier JS, Ribaudo HJ, Hoffmann U, Lu MT, Douglas PS, Grinspoon SK. Pericoronary Adipose Tissue Density, Inflammation, and Subclinical Coronary Artery Disease Among People With HIV in the REPRIEVE Cohort. Clin Infect Dis. 2023 Dec 15;77(12):1676-1686. doi: 10.1093/cid/ciad419. PubMed 37439633 ↗
  • Grinspoon SK, Fitch KV, Zanni MV, Fichtenbaum CJ, Umbleja T, Aberg JA, Overton ET, Malvestutto CD, Bloomfield GS, Currier JS, Martinez E, Roa JC, Diggs MR, Fulda ES, Paradis K, Wiviott SD, Foldyna B, Looby SE, Desvigne-Nickens P, Alston-Smith B, Leon-Cruz J, McCallum S, Hoffmann U, Lu MT, Ribaudo HJ, Douglas PS; REPRIEVE Investigators. Pitavastatin to Prevent Cardiovascular Disease in HIV Infection. N Engl J Med. 2023 Aug 24;389(8):687-699. doi: 10.1056/NEJMoa2304146. Epub 2023 Jul 23. PubMed 37486775 ↗
  • Lake JE, Taron J, Ribaudo HJ, Leon-Cruz J, Utay NS, Swaminathan S, Fitch KV, Kileel EM, Paradis K, Fulda ES, Ho KS, Luetkemeyer AF, Johnston CD, Zanni MV, Douglas PS, Grinspoon SK, Lu MT, Fichtenbaum CJ; REPRIEVE Trial Investigators. Hepatic steatosis and nonalcoholic fatty liver disease are common and associated with cardiometabolic risk in a primary prevention cohort of people with HIV. AIDS. 2023 Nov 15;37(14):2149-2159. doi: 10.1097/QAD.0000000000003671. Epub 2023 Jul 27. PubMed 37503623 ↗
  • Schnittman SR, Kolossvary M, Beck-Engeser G, Fitch KV, Ambayec GC, Nance RM, Zanni MV, Diggs M, Chan F, McCallum S, Toribio M, Bamford L, Fichtenbaum CJ, Eron JJ, Jacobson JM, Mayer KH, Malvestutto C, Bloomfield GS, Moore RD, Umbleja T, Saag MS, Aberg JA, Currier JS, Delaney JAC, Martin JN, Lu MT, Douglas PS, Ribaudo HJ, Crane HM, Hunt PW, Grinspoon SK. Biological and Clinical Implications of the Vascular Endothelial Growth Factor Coreceptor Neuropilin-1 in Human Immunodeficiency Virus. Open Forum Infect Dis. 2023 Sep 8;10(10):ofad467. doi: 10.1093/ofid/ofad467. eCollection 2023 Oct. PubMed 37869406 ↗
  • Bhattacharya R, Uddin MM, Patel AP, Niroula A, Finneran P, Bernardo R, Fitch KV, Lu MT, Bloomfield GS, Malvestutto C, Aberg JA, Fichtenbaum CJ, Hornsby W, Ribaudo HJ, Libby P, Ebert BL, Zanni MV, Douglas PS, Grinspoon SK, Natarajan P. Risk factors for clonal hematopoiesis of indeterminate potential in people with HIV: a report from the REPRIEVE trial. Blood Adv. 2024 Feb 27;8(4):959-967. doi: 10.1182/bloodadvances.2023011324. PubMed 38197863 ↗
  • Lu MT, Ribaudo H, Foldyna B, Zanni MV, Mayrhofer T, Karady J, Taron J, Fitch KV, McCallum S, Burdo TH, Paradis K, Hedgire SS, Meyersohn NM, DeFilippi C, Malvestutto CD, Sturniolo A, Diggs M, Siminski S, Bloomfield GS, Alston-Smith B, Desvigne-Nickens P, Overton ET, Currier JS, Aberg JA, Fichtenbaum CJ, Hoffmann U, Douglas PS, Grinspoon SK; REPRIEVE Trial Writing Group. Effects of Pitavastatin on Coronary Artery Disease and Inflammatory Biomarkers in HIV: Mechanistic Substudy of the REPRIEVE Randomized Clinical Trial. JAMA Cardiol. 2024 Apr 1;9(4):323-334. doi: 10.1001/jamacardio.2023.5661. PubMed 38381407 ↗
  • Zou RS, Ruan Y, Truong B, Bhattacharya R, Lu MT, Karady J, Bernardo R, Finneran P, Hornsby W, Fitch KV, Ribaudo HJ, Zanni MV, Douglas PS, Grinspoon SK, Patel AP, Natarajan P. Polygenic Scores and Preclinical Cardiovascular Disease in Individuals With HIV: Insights From the REPRIEVE Trial. J Am Heart Assoc. 2024 Apr 2;13(7):e033413. doi: 10.1161/JAHA.123.033413. Epub 2024 Mar 27. PubMed 38533953 ↗
  • Grinspoon SK, Ribaudo HJ, Douglas PS. Trial Update of Pitavastatin to Prevent Cardiovascular Events in HIV Infection. N Engl J Med. 2024 May 2;390(17):1626-1628. doi: 10.1056/NEJMc2400870. No abstract available. PubMed 38692296 ↗
  • Grinspoon SK, DeFilippi C, Umbleja T, McCallum S, Christenson RH, Chu SM, Lu AB, Burdo TH, Aberg JA, Fichtenbaum CJ, Bloomfield GS, Malvestutto CD, Currier JS, Lu MT, Zanni MV, Douglas PS, Ribaudo HJ. Inflammatory, Cardiac, and Lipid-Related Biomarkers in Relation to Residual MACE Risk in the REPRIEVE Trial. JACC Adv. 2026 Jul 10;5(8):102984. doi: 10.1016/j.jacadv.2026.102984. Online ahead of print. PubMed 42431097 ↗
  • Foldyna B, Hadzic I, Mayrhofer T, Karady J, Taron J, Kolossvary M, Raghu VK, McCallum S, Paradis K, Diggs MR, Chu SM, Lu AB, Somboonwit C, Bernardino JI, Dube MP, Sponseller CA, Zanni MV, Bloomfield GS, Malvestutto CD, Fichtenbaum CJ, Aberg JA, Currier JS, Ribaudo HJ, Douglas PS, Lu MT, Grinspoon SK. Statin Effects on Pericoronary Adipose Tissue Density in People With HIV: Insights From the REPRIEVE Trial. JACC Cardiovasc Imaging. 2026 Apr;19(4):478-489. doi: 10.1016/j.jcmg.2025.10.012. Epub 2025 Dec 1. PubMed 41324519 ↗
  • Diggs MR, Chu SM, Fitch KV, Olefsky M, Watanabe MG, Erlandson KM, Lu AB, Bloomfield GS, Currier JS, Curran A, Eckard AR, Smith GHR, Sponseller CA, Fichtenbaum CJ, Malvestutto CD, Aberg JA, Foldyna B, Taron J, Karady J, Zanni MV, Douglas PS, Ribaudo HJ, Lu MT, Grinspoon SK. Health-related quality of life among people with HIV at low-to-moderate risk for atherosclerotic cardiovascular disease in the REPRIEVE Trial. AIDS. 2026 Apr 1;40(4):428-439. doi: 10.1097/QAD.0000000000004401. Epub 2025 Nov 14. PubMed 41217428 ↗
  • Xue L, Bhattacharya R, Uddin MM, Nakao T, Zou R, Patel A, Haidermota S, Niroula A, Viscosi V, Postupaka D, Bhatnagar A, Finneran P, Bernardo R, Diggs MR, Fitch KV, Chu SM, McCallum S, Currier JS, Fichtenbaum CJ, Malvestutto CD, Aberg JA, Bloomfield GS, Ribaudo HJ, Zanni MV, Libby P, Hornsby W, Lu MT, Douglas PS, Grinspoon SK, Natarajan P. Clonal Hematopoiesis and Major Adverse Cardiac Events in People With HIV: Insights From the REPRIEVE Trial. Arterioscler Thromb Vasc Biol. 2026 Jan;46(1):168-177. doi: 10.1161/ATVBAHA.125.322896. Epub 2025 Nov 6. PubMed 41195533 ↗
  • Grinspoon SK, Zhao S, Martinez E, Fichtenbaum CJ, Chu SM, Diggs MR, Umbleja T, McCallum S, Fitch KV, Triant VA, Currier JS, Aberg JA, Malvestutto CD, Erlandson KM, Bloomfield GS, Lu MT, Douglas PS, Ribaudo HJ, Zanni MV. Risk Assessment in a Global CVD Prevention Cohort of People With HIV by PCE, PREVENT, and SCORE2. Clin Infect Dis. 2026 Feb 25;82(2):e248-e257. doi: 10.1093/cid/ciaf542. PubMed 41004413 ↗
  • Kolossvary M, Sereti I, Zanni MV, Fichtenbaum CJ, Aberg JA, Bloomfield GS, Malvestutto CD, Currier JS, Chu SM, Diggs MR, Lu AB, deFilippi C, Foldyna B, McCallum S, Sponseller CA, Lu MT, Douglas PS, Ribaudo HJ, Grinspoon SK. Statin-dependent and -independent pathways are associated with major adverse cardiovascular events in people with HIV. J Clin Invest. 2025 Sep 9;135(22):e196021. doi: 10.1172/JCI196021. eCollection 2025 Nov 17. PubMed 40924496 ↗
  • Davies Smith E, Douglas PS, McCallum S, Troendle J, Diggs MR, Lu AB, Chu SM, Umbleja T, Lu MT, Zanni MV, Grinspoon SK, Ribaudo HJ. Win Ratio Aligns With and Enhances Interpretation of REPRIEVE's Primary Findings. Clin Infect Dis. 2026 Feb 9;82(1):e89-e92. doi: 10.1093/cid/ciaf477. PubMed 40888096 ↗
  • Corley MJ, Watanabe M, Pang APS, Dwaraka VB, Smith R, Samaneka W, Henn S, Munsiff S, Saumoy M, McCallum S, Fitch KV, Chu SM, Diggs MR, Aberg JA, Malvestutto CD, Fichtenbaum CJ, Currier JS, Zanni MV, Douglas PS, Lu MT, Landay AL, Erlandson KM, Ribaudo HJ, Grinspoon SK. Effect of Pitavastatin on Epigenetic Aging Biomarkers in People With HIV: Pilot Substudy of the REPRIEVE Trial. Clin Infect Dis. 2026 Feb 4;81(6):e560-e567. doi: 10.1093/cid/ciaf247. PubMed 40576558 ↗
  • Fichtenbaum CJ, Malvestutto CD, Watanabe MG, Davies Smith E, Ribaudo HJ, McCallum S, Fitch KV, Currier JS, Diggs MR, Chu SM, Aberg JA, Lu MT, Valencia J, Gomez-Ayerbe C, Brar I, Valdez Madruga J, Bloomfield GS, Douglas PS, Zanni MV, Grinspoon SK; REPRIEVE Investigators. Effects of antiretrovirals on major adverse cardiovascular events in the REPRIEVE trial: a longitudinal cohort analysis. Lancet HIV. 2025 Jul;12(7):e496-e505. doi: 10.1016/S2352-3018(25)00043-8. Epub 2025 Jun 4. PubMed 40482662 ↗
  • Lu MT, Ribaudo HJ, McCallum S, Zanni MV, deFilippi C, Taron J, Karady J, Foldyna B, Paradis K, Chu SM, Diggs MR, Burdo TH, Currier JS, Bloomfield GS, Fichtenbaum CJ, Malvestutto CD, Aberg JA, Mayrhofer T, Douglas PS, Grinspoon SK; REPRIEVE Investigators. Coronary Plaque, Inflammation, Subclinical Myocardial Injury, and Major Adverse Cardiovascular Events in the REPRIEVE Substudy. JACC Adv. 2025 Jun;4(6 Pt 1):101781. doi: 10.1016/j.jacadv.2025.101781. Epub 2025 May 14. PubMed 40373520 ↗
  • Grinspoon SK, Watanabe M, Ribaudo HJ, Bloomfield GS, Fichtenbaum CJ, Umbleja T, Chu SM, Fitch KV, Diggs MR, Zhao S, Looby SE, Currier JS, Aberg JA, Malvestutto CD, Erlandson KM, Martinez E, Asupoto O, Gupta SK, Lopez-Bernaldo de Quiros JC, Nixon D, Bedimo R, Lu MT, Douglas PS, Zanni MV. Factors Affecting Risk of Cardiovascular Disease (CVD) Events in a Global CVD Prevention Cohort of People With HIV. Clin Infect Dis. 2026 Feb 4;81(6):e548-e557. doi: 10.1093/cid/ciaf210. PubMed 40281648 ↗
  • Davies Smith E, Malvestutto C, Ribaudo HJ, Fichtenbaum CJ, Aberg JA, Watanabe M, Bloomfield GS, Currier JS, Chu SM, Fitch KV, Diggs MR, Bedimo R, Valencia J, Gomez-Ayerbe C, Brar I, Madruga JV, Lu MT, Douglas PS, Zanni MV, Grinspoon SK. Cardiovascular Hazards of Abacavir- Versus Tenofovir-Containing Antiretroviral Therapies: Insights From an Analysis of the REPRIEVE Trial Cohort. Open Forum Infect Dis. 2025 Mar 21;12(4):ofaf177. doi: 10.1093/ofid/ofaf177. eCollection 2025 Apr. PubMed 40207047 ↗
  • Diggs MR, Umbleja T, McCallum S, Zanni MV, Chu SM, Fitch KV, Bloomfield GS, Currier JS, Martinez E, Castle PE, Awwad A, Jain MK, Bedimo R, Hendricks B, Narrea J, Estrada V, Pinto J, Aberg JA, Malvestutto CD, Fichtenbaum CJ, Lu MT, Ribaudo HJ, Douglas PS, Grinspoon SK. Statin effects on the incidence of major non-cardiovascular disease events among a global cohort of people with HIV: a randomised controlled trial. Lancet HIV. 2025 Apr;12(4):e261-e272. doi: 10.1016/S2352-3018(24)00345-X. PubMed 40180472 ↗
  • Grinspoon SK, Zanni MV, Triant VA, Kantor A, Umbleja T, Diggs MR, Chu SM, Fitch KV, Currier JS, Bloomfield GS, Casado JL, de la Pena M, Fantry LE, Gardner E, Aberg JA, Malvestutto CD, Fichtenbaum CJ, Lu MT, Ribaudo HJ, Douglas PS. Performance of the pooled cohort equations and D:A:D risk scores among individuals with HIV in a global cardiovascular disease prevention trial: a cohort study leveraging data from REPRIEVE. Lancet HIV. 2025 Feb;12(2):e118-e129. doi: 10.1016/S2352-3018(24)00276-5. Epub 2025 Jan 17. PubMed 39832519 ↗
  • Kolossvary M, Schnittman SR, Zanni MV, Fitch KV, Fichtenbaum CJ, Aberg JA, Bloomfield GS, Malvestutto CD, Currier J, Diggs MR, deFilippi C, Eckard AR, Curran A, Centinbas M, Sadreyev R, Foldyna B, Mayrhofer T, Karady J, Taron J, McCallum S, Lu MT, Ribaudo HJ, Douglas PS, Grinspoon SK. Pitavastatin, Procollagen Pathways, and Plaque Stabilization in Patients With HIV: A Secondary Analysis of the REPRIEVE Randomized Clinical Trial. JAMA Cardiol. 2025 Mar 1;10(3):254-264. doi: 10.1001/jamacardio.2024.4115. PubMed 39661372 ↗
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  • Erlandson KM, Umbleja T, Lu MT, Taron J, Ribaudo HJ, Overton ET, Presti RM, Haas DW, Sax PE, Yin MT, Zhai BK, Louis R, Upadhyay N, Eslami P, Douglas PS, Zanni MV, Fitch KV, Fulda ES, Fichtenbaum CJ, Malvestutto CD, Grinspoon SK, Brown TT. Associations of Muscle Density and Area With Coronary Artery Plaque and Physical Function. J Acquir Immune Defic Syndr. 2023 Oct 1;94(2):174-184. doi: 10.1097/QAI.0000000000003244. PubMed 37368931 ↗
  • Umbleja T, Brown TT, Overton ET, Ribaudo HJ, Schrack JA, Fitch KV, Douglas PS, Grinspoon SK, Henn S, Arduino RC, Rodriguez B, Benson CA, Erlandson KM. Physical Function Impairment and Frailty in Middle-Aged People Living With Human Immunodeficiency Virus in the REPRIEVE Trial Ancillary Study PREPARE. J Infect Dis. 2020 Jul 9;222(Suppl 1):S52-S62. doi: 10.1093/infdis/jiaa249. PubMed 32645163 ↗

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

10

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from Mar 2015 to primary completion in Aug 2023, 100 months.

Results were first posted in Oct 2024, 1 year 1 month after primary completion.

Of 40 non-industry phase 3 interventional studies under Cardiovascular Diseases, half reached primary completion within 57 months of starting (the median), counting those still running; a quarter within 41 and three quarters within 95. This study's 100 months is above that.

Counting every sponsor, half of 82 studies reached it within 57 months; a quarter within 34 and three quarters within 83.

Cardiovascular Diseases covers many different conditions, not one, so the studies compared here vary widely. Read these figures as a rough guide.

How these figures are worked out, and which studies are left out of them.

Registered
Jan 16, 2015
First posted
Jan 22, 2015
StartActual
Mar 26, 2015
Primary completionActual
Aug 21, 2023
CompletionActual
Aug 21, 2023
Results first posted
Oct 15, 2024
Last update
Sep 4, 2025
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Sep 4, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT02344290
Collaborators
National Heart, Lung, and Blood Institute (NHLBI), Kowa Pharmaceuticals America, Inc., Gilead Sciences, Massachusetts General Hospital, NEAT ID Foundation
Responsible party
Sponsor
First posted
Jan 22, 2015
Start date
Mar 26, 2015
Primary completion
Aug 21, 2023
Completion
Aug 21, 2023
Results posted
Oct 15, 2024
Last update
Sep 4, 2025

Study contacts

Steven Grinspoon, MD
study chair · Harvard Medical School (HMS and HSDM)

Oversight

Data monitoring committee
Yes
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Sep 2025. You cannot join it, but the record below documents what was studied.

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Discussion

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Studies of the drug tested here: Pitavastatin

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