CClinicalTrials.gg
CompletedNCT03423641Updated Aug 7, 2019Results posted

An Observational Study of the Safety of Direct-acting Antivirals in Patients With Hepatitis C

An observational study in Hepatitis C, Chronic, sponsored by Kaiser Permanente. Completed. Open to participants aged 18 Years to 88 Years. Per ClinicalTrials.gov, last updated 2019-08-07.

Sponsored by Kaiser Permanente · Observational

Study type
Observational
Model
Cohort
Time perspective
Retrospective
Enrollment
33,808
Ages
18 Years to 88 Years
Sex
All
01

Study summary

The investigators will assess whether patients with the Hepatitis C virus (HCV) who are prescribed direct-acting antiviral (DAA) medications experience higher rates of adverse events than patients with HCV who are untreated. The investigators hypothesize that patients receiving DAAs do not experience higher rates of adverse events compared to patients who have not received DAAs. The study population is adults between the ages of 18 and 88 with any indication of a diagnosis of HCV. An intervention group (those receiving a DAA) and comparison group (those who are not treated) will be created using medication dispensing data. Eligibility for the study will be determined from January 1, 2011 through December 31, 2017. Covariates will be collected from January 1, 2011 through December 31, 2017. Individual study sites may have access to historical data prior to 2011 that can be used as covariates or to identify individuals with HCV. The primary outcomes of interest include acute myocardial infarction, neurological outcomes (e.g. acute stroke, intracranial bleed), acute kidney failure, acute on chronic liver failure, hepatic decompensation, multiple organ dysfunction syndrome, cancer, bradyarrhythmia, and death. The secondary outcomes include decompensated cirrhosis, hospitalization, emergency department visit, and arrhythmia. Outcomes will be assessed from January 1, 2011 through December 31, 2017. The investigators will use two different analytic approaches to answer the question of interest: a Poisson regression model and marginal structural modeling (MSM). The simpler Poisson model is an extension of tabular rate of event analysis. The more complicated MSM model incorporates modeling of the treatment decision to more flexibly control for confounding by indication. For each outcome, the investigators will only record the first date an outcome occurs. Each outcome will be modeled separately.

02

Conditions studied

  • Hepatitis C, Chronic

Keywords

  • Drug-Related Side Effects and Adverse Reactions
  • Antiviral Agents / Adverse Effects
  • Antiviral Agents / Toxicity
  • Simeprevir
  • Sofosbuvir
  • Ledipasvir
  • Ombitasvir
  • Paritaprevir
  • Ritonavir
  • Dasabuvir
  • Daclatasvir
  • Elbasvir
  • Grazoprevir
  • Velpatasvir
  • Ribavirin
03

Who can participate

Ages eligible
18 Years to 88 Years
Sexes eligible
All
Sampling method
Probability sample

Study population

The groups/cohorts will consist of all HCV patients from Kaiser Permanente Southern California region, Kaiser Permanente Northern California region, and the OneFlorida Clinical Research Consortium.

Inclusion criteria

  • HCV viral load
  • HCV genotype
  • HCV qualitative
  • HCV antibody
  • HCV drug
  • Continuously enrolled 12 months

Exclusion criteria

Exclusion Criteria:

  • Each outcome will be analyzed separately as time to first event, thus people who experience an outcome prior to their study start date are ineligible for analyses related to that particular outcome.

The results will be examined for sensitivity to the following possible exclusion criteria:

  • Achieved SVR-12 prior to index date
  • HCV treatment experienced prior to index date
  • No visit in GI, Infectious Disease, or Liver Transplant / Hepatology
  • No positive HCV test (genotype, viral load, or qualitative)
  • No recent positive HCV test (genotype, viral load or qualitative)
04

Study design

Observational model
Cohort
Time perspective
Retrospective
Enrollment
33,808 participants (actual)
Patient registry
No

Groups and cohorts

  • Direct Acting Antivirals

    Patients who receive a direct acting antiviral enter the DAA cohort at the time of initiation of the drug.

    Drug: Direct Acting Antivirals

  • Comparison

    The exposure time of patients who have not received a direct acting antiviral (patients can change from the comparison to the DAA group once they receive the medication)

Interventions

  • DrugDirect Acting Antivirals

    The time period during which a patient is dispensed the medication and for up to 180 days after initiation of the medication.

05

What researchers measure

Primary outcomes

  1. Incidence of Acute Myocardial Infarction (AMI)

    Inpatient encounter with an ICD-9 diagnosis code of 410.xx or ICD-10 diagnosis code of I21.xx.

    Time frame: Patient diagnoses collected from encounters will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.

  2. Incidence of Acute on Chronic Liver Failure

    An acute change in MELD (model for end stage liver disease) score of 5 or more and the change is deemed to have persisted (defined as meeting one of the following criteria: MELD continues to be elevated 3 months later, liver transplant, death). The minimum value for the MELD is 6.43, but there is no maximum value. Higher scores mean a worse outcome.

    Time frame: Labs and diagnoses collected from clinical encounters will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.

  3. Incidence of Acute Kidney Failure (AKF)

    Encounters with an ICD-9 diagnosis code of 584.xx or ICD-10 diagnosis code of N17.xx.

    Time frame: Patient diagnoses collected from encounters will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.

  4. Incidence of Multiple Organ Dysfunction Syndrome (MODS)

    Inpatient encounters with ICD-9 diagnosis code of 995.92, 995.94, 785.52 or ICD-10 code of R65.11 or R65.2x.

    Time frame: Patient diagnoses collected from encounters will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.

  5. Death

    Date of death in one or more records. Death data comes from medical records, Social Security, or state databases.

    Time frame: Death dates will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.

  6. Incidence of Ischemic Stroke

    Inpatient encounters with ICD-9 diagnosis code of 433.xx, 434.xx or ICD-10 code of I63.xx, I65.xx.

    Time frame: Patient diagnoses collected from encounters will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.

  7. Incidence of Hemorrhagic Stroke

    Inpatient encounters with ICD-9 diagnosis code of 430.xx-432.xx or ICD-10 code of I60.xx-I62.xx

    Time frame: Patient diagnoses collected from encounters will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.

  8. Incidence of Decompensated Cirrhosis

    A patient will be characterized as having decompensated cirrhosis from an encounter indicating jaundice (ICD-9 diagnosis code of 782.4 or ICD-10 code of R17), ascites (ICD-9 diagnosis code of 789.5, 789.51, 789.59 or ICD-10 diagnosis code of R18.0, R18.8, K71.51, K70.11, or K70.31), or varices (ICD-9 diagnosis code of 456.0, 456.20 or ICD-10 diagnosis code of I85.01 or I85.11, or a medication dispense of lactulose or rifaximin along with a diagnosis of cirrhosis.

    Time frame: Patient diagnoses collected from encounters will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.

  9. Rate of Hospitalizations

    An encounter in which the place of service is an inpatient hospitalization.

    Time frame: Hospitalizations will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.

  10. Rate of Emergency Department Visits

    An encounter in which the place of service is an emergency department or urgent care center.

    Time frame: ED visits will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.

  11. Incidence of Arrhythmia

    Inpatient encounters with an ICD-9 diagnosis code of 427.1, 427.42, 427.5, 427.9 or an ICD-10 diagnosis code of I47.2, I49.01, I49.02, I46.9, I49.9.

    Time frame: Patient diagnoses collected from encounters will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.

  12. Incidence of Liver Cancer

    Encounters with ICD-9 diagnosis code of 155.xx or ICD-10 code of C22.xx.

    Time frame: Patient diagnoses collected from encounters will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.

  13. Incidence of Cancers Other Than Liver Cancer

    Encounters with ICD-9 codes 140.xx through 208.xx, except 155.xx or ICD-10 coes C00-C97 except C22.xx.

    Time frame: Patient diagnoses collected from encounters will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.

  14. Incidence of HBV Reactivation

    We identified HBV reactivations in three different ways \[Di Bisceglie et al., 2015; Yanny et al., 2018\]: (1) patients who had a history of Hepatitis B core antibody (HBcAb) positive and were Hepatitis B surface antigen (HBsAg) negative at the time of initiating DAA therapy who became HBsAg positive within 180 days after receiving a DAA; (2) patients with undetectable levels of HBV DNA at the time of initiating DAA therapy who had a numerical result within 180 days after receiving a DAA; (3) patients with a numerical HBV DNA result at the time of initiating DAA therapy whose viral load increased by a factor of 10 within 180 days after receiving a DAA. For all methods of detecting a reactivation, we required that the reactivations be clinically significant: bilirubin at least 3, aspartate aminotransferase (AST) at least 400, or alanine aminotransferase (ALT) at least 500.

    Time frame: Labs will be for up to 180 days following the initiation of a DAA.

06

Results

Posted Aug 7, 2019

Participant flow

Participant flow — Overall Study
MilestoneDirect Acting AntiviralsComparison
Started1552418284
Completed1519310210
Not completed3318074

Outcome measures

PrimaryIncidence of Acute Myocardial Infarction (AMI)

Inpatient encounter with an ICD-9 diagnosis code of 410.xx or ICD-10 diagnosis code of I21.xx.

Time frame:
Patient diagnoses collected from encounters will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.
Reported as:
Number · Events per 1000 person years
Incidence of Acute Myocardial Infarction (AMI)
Events per 1000 person yearsDirect Acting AntiviralsComparison
Incidence of Acute Myocardial Infarction (AMI)3.3 (2.0 to 4.7)5.2 (4.6 to 5.8)
Statistical analysis
  • Direct Acting Antivirals vs Comparison · Marginal Structural Model · p = .68 · Odds ratio (or): .81 · 95% CI 0.30 to 2.20The numerator represents the DAA group while the denominator represents the comparison group for the odds ratio.
PrimaryIncidence of Acute on Chronic Liver Failure

An acute change in MELD (model for end stage liver disease) score of 5 or more and the change is deemed to have persisted (defined as meeting one of the following criteria: MELD continues to be elevated 3 months later, liver transplant, death). The minimum value for the MELD is 6.43, but there is no maximum value. Higher scores mean a worse outcome.

Time frame:
Labs and diagnoses collected from clinical encounters will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.
Reported as:
Number · Events per 1000 person years
Incidence of Acute on Chronic Liver Failure
Events per 1000 person yearsDirect Acting AntiviralsComparison
Incidence of Acute on Chronic Liver Failure16.5 (13.3 to 19.7)24.1 (22.8 to 25.5)
Statistical analysis
  • Direct Acting Antivirals vs Comparison · Marginal Structural Model · p = 0.01 · Odds ratio (or): 0.71 · 95% CI 0.56 to 0.91The numerator represents the DAA group while the denominator represents the comparison group for the odds ratio.
PrimaryIncidence of Acute Kidney Failure (AKF)

Encounters with an ICD-9 diagnosis code of 584.xx or ICD-10 diagnosis code of N17.xx.

Time frame:
Patient diagnoses collected from encounters will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.
Reported as:
Number · Events per 1000 person years
Incidence of Acute Kidney Failure (AKF)
Events per 1000 person yearsDirect Acting AntiviralsComparison
Incidence of Acute Kidney Failure (AKF)24.2 (20.5 to 28.0)33.7 (32.2 to 35.2)
Statistical analysis
  • Direct Acting Antivirals vs Comparison · Marginal Structural Model · p = 0.39 · Odds ratio (or): 0.92 · 95% CI 0.75 to 1.12The numerator represents the DAA group while the denominator represents the comparison group for the odds ratio.
PrimaryIncidence of Multiple Organ Dysfunction Syndrome (MODS)

Inpatient encounters with ICD-9 diagnosis code of 995.92, 995.94, 785.52 or ICD-10 code of R65.11 or R65.2x.

Time frame:
Patient diagnoses collected from encounters will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.
Reported as:
Number · Events per 1000 person years
Incidence of Multiple Organ Dysfunction Syndrome (MODS)
Events per 1000 person yearsDirect Acting AntiviralsComparison
Incidence of Multiple Organ Dysfunction Syndrome (MODS)9.7 (7.4 to 12.0)17.2 (16.2 to 18.3)
Statistical analysis
  • Direct Acting Antivirals vs Comparison · Marginal Structural Model · p = 0.01 · Odds ratio (or): 0.67 · 95% CI 0.49 to 0.90The numerator represents the DAA group while the denominator represents the comparison group for the odds ratio.
PrimaryDeath

Date of death in one or more records. Death data comes from medical records, Social Security, or state databases.

Time frame:
Death dates will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.
Reported as:
Number · Events per 1000 person years
Death
Events per 1000 person yearsDirect Acting AntiviralsComparison
Death10.7 (8.3 to 13.1)33.7 (32.3 to 35.1)
Statistical analysis
  • Direct Acting Antivirals vs Comparison · Marginal Structural Model · p = <0.01 · Odds ratio (or): 0.42 · 95% CI 0.30 to 0.59The numerator represents the DAA group while the denominator represents the comparison group for the odds ratio.
PrimaryIncidence of Ischemic Stroke

Inpatient encounters with ICD-9 diagnosis code of 433.xx, 434.xx or ICD-10 code of I63.xx, I65.xx.

Time frame:
Patient diagnoses collected from encounters will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.
Reported as:
Number · Events per 1000 person years
Incidence of Ischemic Stroke
Events per 1000 person yearsDirect Acting AntiviralsComparison
Incidence of Ischemic Stroke3.6 (2.2 to 5.1)5.8 (5.1 to 6.4)
Statistical analysis
  • Direct Acting Antivirals vs Comparison · Marginal Structural Model · p = 0.12 · Odds ratio (or): 0.68 · 95% CI 0.42 to 1.10The numerator represents the DAA group while the denominator represents the comparison group for the odds ratio.
PrimaryIncidence of Hemorrhagic Stroke

Inpatient encounters with ICD-9 diagnosis code of 430.xx-432.xx or ICD-10 code of I60.xx-I62.xx

Time frame:
Patient diagnoses collected from encounters will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.
Reported as:
Number · Events per 1000 person years
Incidence of Hemorrhagic Stroke
Events per 1000 person yearsDirect Acting AntiviralsComparison
Incidence of Hemorrhagic Stroke1.5 (0.6 to 2.3)3.1 (2.6 to 3.5)
Statistical analysis
  • Direct Acting Antivirals vs Comparison · Marginal Structural Model · p = 0.34 · Odds ratio (or): 0.61 · 95% CI 0.22 to 1.70The numerator represents the DAA group while the denominator represents the comparison group for the odds ratio.
PrimaryIncidence of Decompensated Cirrhosis

A patient will be characterized as having decompensated cirrhosis from an encounter indicating jaundice (ICD-9 diagnosis code of 782.4 or ICD-10 code of R17), ascites (ICD-9 diagnosis code of 789.5, 789.51, 789.59 or ICD-10 diagnosis code of R18.0, R18.8, K71.51, K70.11, or K70.31), or varices (ICD-9 diagnosis code of 456.0, 456.20 or ICD-10 diagnosis code of I85.01 or I85.11, or a medication dispense of lactulose or rifaximin along with a diagnosis of cirrhosis.

Time frame:
Patient diagnoses collected from encounters will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.
Reported as:
Number · Events per 1000 person years
Incidence of Decompensated Cirrhosis
Events per 1000 person yearsDirect Acting AntiviralsComparison
Incidence of Decompensated Cirrhosis23.8 (20.0 to 27.7)38.6 (37.0 to 40.2)
Statistical analysis
  • Direct Acting Antivirals vs Comparison · Marginal Structural Model · p = <0.01 · Marginal structural model: 0.61 · 95% CI 0.49 to 0.76The numerator represents the DAA group while the denominator represents the comparison group for the odds ratio.
PrimaryRate of Hospitalizations

An encounter in which the place of service is an inpatient hospitalization.

Time frame:
Hospitalizations will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.
Reported as:
Number · Events per 1000 person years
Rate of Hospitalizations
Events per 1000 person yearsDirect Acting AntiviralsComparison
Rate of Hospitalizations162.8 (157.9 to 167.7)325.0 (320.6 to 329.4)
Statistical analysis
  • Direct Acting Antivirals vs Comparison · Poisson Regression · p = <0.01 · Rate ratio: 0.71 · 95% CI 0.60 to 0.84The numerator represents the DAA group while the denominator represents the comparison group for the rate ratio.
PrimaryRate of Emergency Department Visits

An encounter in which the place of service is an emergency department or urgent care center.

Time frame:
ED visits will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.
Reported as:
Number · Events per 1000 person years
Rate of Emergency Department Visits
Events per 1000 person yearsDirect Acting AntiviralsComparison
Rate of Emergency Department Visits551.2 (542.3 to 560.2)853.4 (846.2 to 860.5)
Statistical analysis
  • Direct Acting Antivirals vs Comparison · Poisson Regression · p = <0.01 · Rate ratio: 0.82 · 95% CI 0.77 to 0.87The numerator represents the DAA group while the denominator represents the comparison group for the rate ratio.
PrimaryIncidence of Arrhythmia

Inpatient encounters with an ICD-9 diagnosis code of 427.1, 427.42, 427.5, 427.9 or an ICD-10 diagnosis code of I47.2, I49.01, I49.02, I46.9, I49.9.

Time frame:
Patient diagnoses collected from encounters will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.
Reported as:
Number · Events per 1000 person years
Incidence of Arrhythmia
Events per 1000 person yearsDirect Acting AntiviralsComparison
Incidence of Arrhythmia3.2 (1.8 to 4.5)4.7 (4.1 to 5.2)
Statistical analysis
  • Direct Acting Antivirals vs Comparison · Marginal Structural Model · p = 0.02 · Odds ratio (or): 0.47 · 95% CI 0.25 to 0.88The numerator represents the DAA group while the denominator represents the comparison group for the odds ratio.
PrimaryIncidence of Liver Cancer

Encounters with ICD-9 diagnosis code of 155.xx or ICD-10 code of C22.xx.

Time frame:
Patient diagnoses collected from encounters will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.
Reported as:
Number · Events per 1000 person years
Incidence of Liver Cancer
Events per 1000 person yearsDirect Acting AntiviralsComparison
Incidence of Liver Cancer9.3 (7.0 to 11.5)14.9 (13.9 to 15.8)
Statistical analysis
  • Direct Acting Antivirals vs Comparison · Marginal Structural Model · p = 0.07 · Odds ratio (or): 0.62 · 95% CI 0.37 to 1.03The numerator represents the DAA group while the denominator represents the comparison group for the odds ratio.
PrimaryIncidence of Cancers Other Than Liver Cancer

Encounters with ICD-9 codes 140.xx through 208.xx, except 155.xx or ICD-10 coes C00-C97 except C22.xx.

Time frame:
Patient diagnoses collected from encounters will be examined through study completion, or up to 180 days from the day the patient initiated a DAA.
Reported as:
Number · Events per 1000 person years
Incidence of Cancers Other Than Liver Cancer
Events per 1000 person yearsDirect Acting AntiviralsComparison
Incidence of Cancers Other Than Liver Cancer20.7 (17.1 to 24.3)26.4 (25.0 to 27.7)
Statistical analysis
  • Direct Acting Antivirals vs Comparison · Marginal Structural Model · p = 0.11 · Odds ratio (or): 0.81 · 95% CI 0.63 to 1.05The numerator represents the DAA group while the denominator represents the comparison group for the odds ratio.
PrimaryIncidence of HBV Reactivation

We identified HBV reactivations in three different ways \[Di Bisceglie et al., 2015; Yanny et al., 2018\]: (1) patients who had a history of Hepatitis B core antibody (HBcAb) positive and were Hepatitis B surface antigen (HBsAg) negative at the time of initiating DAA therapy who became HBsAg positive within 180 days after receiving a DAA; (2) patients with undetectable levels of HBV DNA at the time of initiating DAA therapy who had a numerical result within 180 days after receiving a DAA; (3) patients with a numerical HBV DNA result at the time of initiating DAA therapy whose viral load increased by a factor of 10 within 180 days after receiving a DAA. For all methods of detecting a reactivation, we required that the reactivations be clinically significant: bilirubin at least 3, aspartate aminotransferase (AST) at least 400, or alanine aminotransferase (ALT) at least 500.

Time frame:
Labs will be for up to 180 days following the initiation of a DAA.
Reported as:
Count of participants · Participants
Incidence of HBV Reactivation
ParticipantsDirect Acting Antivirals
Incidence of HBV Reactivation1

Adverse events

Collected over This was a retrospective observational study, so any adverse event data would have been collected during contact with a medical provider.. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Direct Acting Antivirals77/15,524 (0.5%)0/15,524 (0%)0/15,524 (0%)
Comparison2,186/18,284 (12%)0/18,284 (0%)0/18,284 (0%)

Baseline characteristics

There is no difference between the number of baseline participants and the numbers in participant flow.

Age, Categorical
Age, Categorical(Participants)Direct Acting AntiviralsComparisonTotal
<=18 years000
Between 18 and 65 years123491463826987
>=65 years317536466821
Sex: Female, Male
Sex: Female, Male(Participants)Direct Acting AntiviralsComparisonTotal
Female6092696213054
Male94321132220754
Race (NIH/OMB)
Race (NIH/OMB)(Participants)Direct Acting AntiviralsComparisonTotal
American Indian or Alaska Native112116228
Asian8917721663
Native Hawaiian or Other Pacific Islander4951100
Black or African American269938386537
White8670989218562
More than one race7007201420
Unknown or Not Reported240328955298
Region of Enrollment
Region of Enrollment(Participants)Direct Acting AntiviralsComparisonTotal
United States155241828433808
07

Study locations

No study locations are listed for this record.

08

References and documents

Study documents

  • Statistical analysis plan · Jan 31, 2018
  • Study protocol · Jun 18, 2019

Documents are hosted by the registry — open the source record to download them.

Individual participant data

Plan to share: Undecided — Current plan is to make a de-identified data set available to investigators under specified conditions.

09

Registry details

Key details

Study ID
NCT03423641
Lead sponsor
Kaiser Permanente
Collaborators
OneFlorida Clinical Research Consortium, Patient-Centered Outcomes Research Institute
Responsible party
Elizabeth A. McGlynn (Vice President, Kaiser Permanente Research; Executive Director, Center for Effectiveness and Safety Research, Kaiser Permanente) — Principal investigator
First posted
Feb 6, 2018
Start date
Jan 1, 2011
Primary completion
Dec 31, 2017
Completion
Dec 31, 2017
Results posted
Aug 7, 2019
Last update
Aug 7, 2019

Study contacts

Elizabeth A McGlynn, PhD
principal investigator · Kaiser Permanente

Oversight

Data monitoring committee
No
FDA-regulated drug
Yes
View the source record on ClinicalTrials.gov ↗

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