ClinicalTrials.gg
RecruitingNCT03549754iCaReMeUpdated Sep 9, 2026

iCaReMe Global Registry: Multinational Real-world Evidence in Cardiorenal and Metabolic Diseases

An observational study in Type 2 Diabetes, Hypertension and Chronic Kidney Disease, sponsored by AstraZeneca. Recruiting at 76 sites in 20 countries. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-09-09.

Sponsored by AstraZeneca · Observational

From the registry’s dates

  • Started Feb 2018; still recruiting 8 years 8 months later.
Study type
Observational
Model
Other
Time perspective
Other
Enrollment
35,000
Ages
18 Years and older
Sex
All
01

Study summary

To provide real world data on patient characteristics, disease management, healthcare utilization, and outcomes in patients with type 2 diabetes, Hypertension, Heart failure and/or Chronic kidney diseases

Read the detailed description

The registry intends to provide real world data on patient management and quality of care for patients with T2DM, hypertension, heat failure and chronic kidney disease in clinical practice in many countries. To bridge this gap an observational voluntary registry is set up to capture real world data on patient characteristics, disease management, healthcare utilization, and outcomes in patients with type 2 diabetes, Hypertension, Heart Failure and Chronic Kidney Disease. Multinational, observational registry utilizing a cloud-based eCRF, for prospective and retrospective data collection, accessible to investigators and Scientific Committee. This registry will be open to all physicians managing T2DM, HTN, HF or CKD across the world

02

Conditions studied

  • Type 2 Diabetes
  • Hypertension
  • Chronic Kidney Disease
  • Heart Failure

Keywords

  • Registry
  • Type 2 Diabetes
  • T2DM
  • Chronic Kidney Disease
  • CKD
  • Hypertension
  • HTN
  • Adult population
  • Heart Failure
  • HF
  • Early cardiorenal complications
03

In context

Diabetes Mellitus, Type 2

10,371 studies on the registry are indexed under Diabetes Mellitus, Type 2; 1,406 are open to participants now.

This study's planned enrollment of 35,000 is above the median of 300 across 1,741 observational studies indexed under Diabetes Mellitus, Type 2.

Browse Diabetes Mellitus, Type 2 studies →

Lead sponsor

AstraZeneca is the lead sponsor of 3,499 studies on the registry; 270 are open to participants now.

Of its 368 completed or terminated interventional studies of FDA-regulated products, 178 (48%) have results posted.

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

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Adults with type 2 diabetes, Hypertension, Heart Failure and/or chronic kidney disease

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

  1. Being 18 years or older
  2. Having type 2 diabetes, Hypertension, Heart Failure and/or chronic kidney disease
  3. Providing written to participate in the registry

Exclusion criteria

Exclusion Criteria:

  1. Having a life-threatening co-morbidity with below 1 year
  2. Participating in an interventional trial requiring
Terms in these criteria, in plain language(2)

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.

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.

Life expectancy

The study doctor’s estimate of how long someone is likely to live. Criteria use it so that people can stay in the study long enough for it to answer its question.

05

Study design

Observational model
Other
Time perspective
Other
Enrollment
35,000 participants (estimated)
Target follow-up
3 Years
Patient registry
Yes

Groups and cohorts

  • T2DM Cohort

    Patients with T2DM as enrollment motif or T2DM as comorbidity

  • HTN Cohort

    Patients with HTN as enrollment motif or HTN as comorbidity

  • CKD Cohort

    Patients with CKD as enrollment motif or CKD as comorbidity

  • HF Cohort

    Patients with HF as enrollment motif or HF as comorbidity

06

What researchers measure

Primary outcomes

  1. 1. Age of particpants

    Age of participants at enrollment reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in years.

    Time frame: At Baseline

  2. 2. Percentage of Participants by Sex

    Distribution of participants by sex (male/female) reported as counts and percentages.

    Time frame: At baseline

  3. 3. Percentage of Participants by Ethnicity

    Distribution of participants by ethnicity reported as counts and percentages for each ethnic category.

    Time frame: At Baseline

  4. 4. Percentage of Participants by Education Level

    Distribution of participants by education level reported as counts and percentages for each education category.

    Time frame: At Baseline

  5. 5. Percentage of Participants by Marital Status

    Distribution of participants by marital status reported as counts and percentages for each marital status category.

    Time frame: At Baseline

  6. 6. Percentage of Participants with Family History of Cardiovascular and Renal-Metabolic Disease

    Percentage of participants with a family history of cardiovascular, renal, or metabolic (CVRM) disease (yes/no) reported as counts and percentages.

    Time frame: At Baseline

  7. 7.Percentage of Participants by Physical Activity Level

    Distribution of participants by physical activity level category reported as counts and percentages.

    Time frame: At Baseline

  8. 8. Percentage of Participants by Smoking Status

    Distribution of participants by smoking status (current smoker/former smoker/never smoked) reported as counts and percentages.

    Time frame: At Baseline

  9. 9. Percentage of Participants by Alcohol Consumption

    Distribution of participants by alcohol consumption category reported as counts and percentages.

    Time frame: At Baseline

  10. 10. Body Weight of Participants

    Body weight of participants reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in kilograms (kg).

    Time frame: At Baseline

  11. 11. Height of Participants

    Height of participants reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in meters (m).

    Time frame: At Baseline

  12. 12. Body Mass Index (BMI) of Participants

    Body mass index (BMI), calculated from weight and height, reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in kg/m².

    Time frame: At Baseline

  13. 13. Waist Circumference of Participants

    Waist circumference of participants reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in centimeters (cm).

    Time frame: At Baseline

  14. 14. Waist-to-Hip Ratio of Participants

    Waist-to-hip ratio of participants reported as mean ± standard deviation (SD) and median with interquartile range (IQR) (unitless ratio).

    Time frame: At Baseline

  15. 15. Waist-to-Height Ratio of Participants

    Waist-to-height ratio of participants reported as mean ± standard deviation (SD) and median with interquartile range (IQR) (unitless ratio).

    Time frame: At Baseline

  16. 16. Percentage of Participants by Cardiac and Renal Functional Measurements Category

    Distribution of participants by cardiac and renal functional measurement categories reported as counts and percentages.

    Time frame: At Baseline

  17. 17. Primary Disease Duration

    Duration of primary disease (T2DM, HTN, HF, or CKD) from initial diagnosis to enrollment reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in years.

    Time frame: At Baseline

  18. 18. Percentage of Participants by Number and Types of Comorbidities

    Distribution of participants by number and types of comorbidities reported as counts and percentages for each comorbidity category.

    Time frame: At Baseline

  19. 19. Percentage of Participants by NYHA Functional Class

    Distribution of heart failure participants by New York Heart Association (NYHA) functional class (I, II, III, IV) reported as counts and percentages.

    Time frame: At Baseline

  20. 20. Percentage of Participants by Heart Failure Phenotype

    Distribution of heart failure participants by phenotype (HFrEF: ejection fraction ≤40%, HFmrEF: 41-49%, HFpEF: ≥50%) reported as counts and percentages.

    Time frame: At Baseline

  21. 21. Percentage of Participants by Heart Failure Etiology

    Distribution of heart failure participants by etiology (ischemic, non-ischemic, valvular, hypertensive, other) reported as counts and percentages.

    Time frame: At Baseline

  22. 22. Percentage of Participants by CKD Etiology

    Distribution of chronic kidney disease participants by etiology (diabetic nephropathy, hypertensive nephrosclerosis, glomerulonephritis, other) reported as counts and percentages.

    Time frame: At Baseline

  23. 23. Percentage of Participants by Hypertension Stage

    Distribution of hypertension participants by stage (Stage 1, Stage 2, Stage 3) reported as counts and percentages.

    Time frame: At Baseline

  24. 24. Percentage of Participants by Secondary Hypertension Etiology

    Distribution of participants with secondary hypertension by etiology reported as counts and percentages for each etiology category.

    Time frame: At Baseline

  25. 25. Office Systolic and Diastolic Blood Pressure

    Office blood pressure reported as mean systolic blood pressure ± standard deviation (SD) and mean diastolic blood pressure ± SD in mmHg.

    Time frame: At Baseline

  26. 26. Home Blood Pressure Monitoring (HBPM) Systolic and Diastolic Values

    Home blood pressure monitoring (HBPM) values reported as mean systolic blood pressure ± standard deviation (SD) and mean diastolic blood pressure ± SD in mmHg.

    Time frame: At Baseline

  27. 27. Ambulatory Blood Pressure Monitoring (ABPM) Systolic and Diastolic Values

    Ambulatory blood pressure monitoring (ABPM) values reported as mean systolic blood pressure ± standard deviation (SD) and mean diastolic blood pressure ± SD in mmHg.

    Time frame: At Baseline

  28. 28. Blood HbA1c

    HbA1c values reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in %

    Time frame: Average of 3 years

  29. 29. Fasting Glucose

    Fasting Glucose reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in mg/dL

    Time frame: Average of 3 years

  30. 30. Lipid Profile Testing

    Total cholesterol, LDL-C, HDL-C, triglycerides reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in mg/dL

    Time frame: Average of 3 years

  31. 31. Serum Creatinine

    Serum creatinine value reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in mg/dL.

    Time frame: Average of 3 years

  32. 32. Estimated Glomerular Filtration Rate (eGFR)

    Estimated glomerular filtration rate (eGFR) reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in mL/min/1.73m².

    Time frame: Average of 3 years

  33. 33. Urine Albumin-to-Creatinine Ratio (UACR)

    Urine albumin-to-creatinine ratio (UACR) reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in mg/g.

    Time frame: Average of 3 years

  34. 34. Serum Electrolyte Values

    Serum electrolyte values (sodium, potassium, chloride, bicarbonate) reported individually as mean ± standard deviation (SD) and median with interquartile range (IQR) in mmol/L.

    Time frame: Avergae of 3 years

  35. 35. Frequency of HbA1c Testing

    Frequency of glycated hemoglobin (HbA1c) testing reported as counts and percentages of participants tested per monitoring period.

    Time frame: Average of 3 years

  36. 36. Frequency of Fasting Glucose Testing

    Frequency of fasting glucose testing reported as counts and percentages of participants tested per monitoring period.

    Time frame: Average of 3 years

  37. 37. Frequency of Lipid Profile Testing

    Frequency of lipid profile testing (total cholesterol, LDL-C, HDL-C, triglycerides) reported as counts and percentages of participants tested per monitoring period.

    Time frame: Average of 3 years

  38. 38. Frequency of Serum Creatinine Testing

    Frequency of serum creatinine testing reported as counts and percentages of participants tested per monitoring period.

    Time frame: Average of 3 years

  39. 39. Frequency of eGFR Assessment

    Frequency of estimated glomerular filtration rate (eGFR) assessment reported as counts and percentages of participants assessed per monitoring period.

    Time frame: Average of 3 years

  40. 40. Frequency of Urine Albumin-to-Creatinine Ratio Testing

    Frequency of urine albumin-to-creatinine ratio (UACR) testing reported as counts and percentages of participants tested per monitoring period.

    Time frame: Average of 3 years

  41. 41. Echocardiography

    Frequency of echocardiography abnormalities reported as counts and percentages

    Time frame: Average of 3 years

  42. 42. Electrocardiogram (ECG)

    Frequency of electrocardiogram (ECG) abnormalities reported as counts and percentages

    Time frame: Average of 3 years

  43. 43. Participants Receiving Dietary Modification Counseling

    Percentage of participants receiving dietary modification counseling or intervention reported as counts and percentages.

    Time frame: Average of 3 years

  44. 44. Participants Enrolled in Exercise Programs

    Percentage of participants enrolled in or recommended exercise programs reported as counts and percentages.

    Time frame: Average of 3 years

  45. 45. Participants Receiving Weight Management Interventions

    Percentage of participants receiving weight management interventions or counseling reported as counts and percentages.

    Time frame: Average of 3 years

  46. 46. Participants Receiving Smoking Cessation Counseling

    Percentage of participants receiving smoking cessation counseling or interventions reported as counts and percentages.

    Time frame: Average of 3 years

  47. 47. Participants Receiving Alcohol Reduction Counseling

    Percentage of participants receiving alcohol reduction counseling or interventions reported as counts and percentages.

    Time frame: Average of 3 years

  48. 48. Percentage of Participants by Line of Treatment

    Distribution of participants by line of pharmacological treatment (first-line, second-line, third-line or higher) reported as counts and percentages.

    Time frame: Average of 3 years

  49. 49. Percentage of Participants by Drug Class

    Distribution of participants by drug class prescribed (e.g., SGLT2i, GLP-1RA, ACEi, ARBs, beta-blockers, MRAs, CCBs, diuretics, metformin, DPP-4i, sulfonylureas, insulin) reported as counts and percentages.

    Time frame: Average of 3 years

  50. 50. Percentage of Participants Undergoing Cardiac Surgeries (CABG or PCI)

    Percentage of participants undergoing coronary artery bypass graft (CABG) or percutaneous coronary intervention (PCI) reported as counts and percentages for each procedure type.

    Time frame: Average of 3 years

  51. 51. Percentage of Participants Receiving Dialysis

    Percentage of participants receiving dialysis procedures (hemodialysis or peritoneal dialysis) reported as counts and percentages.

    Time frame: Average of 3 years

  52. 52. Percentage of Participants with Cardiac Device Implantation

    Percentage of participants with cardiac device implantation (pacemaker, implantable cardioverter-defibrillator \[ICD\], or cardiac resynchronization therapy \[CRT\]) reported as counts and percentages for each device type.

    Time frame: Average of 3 years

  53. 53. Mean Duration of Pharmacological Treatments

    Duration of pharmacological treatments reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in months for each drug class.

    Time frame: Average of 3 years

  54. 54. Drug Dose of Pharmacological Treatments

    Drug dose of pharmacological treatments prescribed reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in milligrams (mg) for each drug class.

    Time frame: Average of 3 years

  55. 55. Number of Primary Care Visits per Participant

    Total number of primary care visits reported as total visits and mean visits per participant ± standard deviation (SD).

    Time frame: Average of 3 years

  56. 56. Number of Tertiary Care Hospital Visits per Participant

    Total number of tertiary care hospital visits reported as total visits and mean visits per participant ± standard deviation (SD).

    Time frame: Average of 3 years

  57. 57. Number of Specialist Care Visits per Participant

    Total number of specialist care visits reported as total visits and mean visits per participant ± standard deviation (SD).

    Time frame: Average of 3 years

  58. 58.Number of Emergency Department Visits per Participant

    Total number of emergency department visits reported as total visits and mean visits per participant ± standard deviation (SD).

    Time frame: Average of 3 years

  59. 59. All-Cause Hospitalizations

    All-cause hospitalizations reported as counts, percentages of participants with at least one hospitalization, total hospitalizations, and rate per 100 person-years.

    Time frame: Average of 3 years

  60. 60. Disease-Specific Hospitalizations

    Disease-specific hospitalizations (related to T2DM, HTN, HF, or CKD) reported as counts, percentages of participants with at least one hospitalization, total hospitalizations, and rate per 100 person-years.

    Time frame: Average of 3 years

  61. 61. All-Cause Emergency Department Visits

    All-cause emergency department visits reported as counts, percentages of participants with at least one visit, total visits, and rate per 100 person-years.

    Time frame: Average of 3 years

  62. 62. Disease-Specific Emergency Department Visits

    Disease-specific emergency department visits (related to T2DM, HTN, HF, or CKD) reported as counts, percentages of participants with at least one visit, total visits, and rate per 100 person-years.

    Time frame: Average of 3 years

  63. 63. Length of Hospital Stay

    Length of hospital stay reported as median with interquartile range (IQR) and mean ± standard deviation (SD) in days.

    Time frame: Average of 3 years

Secondary outcomes

  1. 1. Incidence of Level 1 Hypoglycemic Events (Blood Glucose <70 mg/dL)

    Hypoglycemic events defined as blood glucose \<70 mg/dL (Level 1 - alert value) reported as counts, percentages of participants with at least one event, total number of events, and rate per 100 person-years.

    Time frame: Average of 3 years

  2. 2.Incidence of Level 2 Hypoglycemic Events (Blood Glucose <54 mg/dL)

    Hypoglycemic events defined as blood glucose \<54 mg/dL (Level 2 - clinically significant) reported as counts, percentages of participants with at least one event, total number of events, and rate per 100 person-years.

    Time frame: Average of 3 years

  3. 3.Incidence of Level 3 Hypoglycemic Events (Requiring Third-Party Assistance)

    Severe hypoglycemic events requiring third-party assistance (Level 3) reported as counts, percentages of participants with at least one event, total number of events, and rate per 100 person-years.

    Time frame: Average of 3 years

  4. 4.Incidence of Diabetic Ketoacidosis (DKA) Episodes

    Diabetic ketoacidosis (DKA) episodes reported as counts, percentages of participants with at least one episode, and total number of episodes.

    Time frame: Average of 3 years

  5. 5. Percentage of Participants with Uncontrolled Type 2 Diabetes (HbA1c ≥7%)

    Percentage of participants with uncontrolled type 2 diabetes mellitus defined as HbA1c ≥7% reported as counts and percentages.

    Time frame: Average of 3 years

  6. 6. Percentage of Participants with Uncontrolled Hypertension (BP ≥140/90 mmHg)

    Percentage of participants with uncontrolled hypertension defined as blood pressure ≥140/90 mmHg or ≥130/80 mmHg (per applicable guideline threshold) reported as counts and percentages.

    Time frame: Average of 3 years

  7. 7. Incidence of Retinopathy

    Incidence of retinopathy reported as counts, percentages of participants with new-onset retinopathy, and incidence per 100 person-years.

    Time frame: Average of 3 years

  8. 8. Incidence of Nephropathy

    Incidence of nephropathy reported as counts, percentages of participants with new-onset nephropathy, and incidence per 100 person-years.

    Time frame: Average of 3 years

  9. 9. Incidence of Neuropathy

    Incidence of neuropathy reported as counts, percentages of participants with new-onset neuropathy, and incidence per 100 person-years.

    Time frame: Average of 3 years

  10. 10. Incidence of Myocardial Infarction (MI)

    Incidence of myocardial infarction (MI) reported as counts, percentages of participants with at least one event, and incidence per 100 person-years.

    Time frame: Average of 3 years

  11. 11. Incidence of Stroke

    Incidence of stroke reported as counts, percentages of participants with at least one event, and incidence per 100 person-years.

    Time frame: Average of 3 years

  12. 12. Incidence of Peripheral Arterial Disease (PAD)

    Incidence of peripheral arterial disease (PAD) reported as counts, percentages of participants with new-onset PAD, and incidence per 100 person-years.

    Time frame: Average of 3 years

  13. 13. Incidence of Coronary Revascularization

    Incidence of coronary revascularization procedures reported as counts, percentages of participants undergoing revascularization, and incidence per 100 person-years.

    Time frame: Average of 3 years

  14. 14. Incidence of New-Onset Heart Failure

    Incidence of new-onset heart failure diagnosis reported as counts, percentages of participants with new HF diagnosis, and incidence per 100 person-years.

    Time frame: Average of 3 years

  15. 15. Incidence of New-Onset Chronic Kidney Disease

    Incidence of new-onset chronic kidney disease defined as eGFR \<60 mL/min/1.73m² or urine albumin-to-creatinine ratio (UACR) ≥30 mg/g reported as counts, percentages of participants, and incidence per 100 person-years.

    Time frame: Average of 3 years

  16. 16. Percentage of Participants Developing Anemia

    Percentage of participants developing anemia as a cardio-renal complication reported as counts and percentages.

    Time frame: Average of 3 years

  17. 17. Percentage of Participants Developing Hyperkalemia

    Percentage of participants developing hyperkalemia as a cardio-renal complication reported as counts and percentages.

    Time frame: Average of 3 years

  18. 18. Percentage of Participants with Heart Failure Hospitalization

    Percentage of participants with at least one heart failure hospitalization reported as counts and percentages.

    Time frame: Average of 3 years

  19. 19. Percentage of Participants with eGFR Decline

    Percentage of participants experiencing a clinically significant decline in estimated glomerular filtration rate (eGFR) reported as counts and percentages.

    Time frame: Average of 3 years

  20. 20. Percentage of Participants with RRT Initiation or ESRD Progression

    Percentage of participants initiating renal replacement therapy (RRT) or progressing to end-stage renal disease (ESRD) reported as counts and percentages.

    Time frame: Average of 3 years

  21. 21. Incidence of Renal Replacement Therapy Initiation or ESRD Progression

    Incidence of renal replacement therapy (RRT) initiation or progression to end-stage renal disease (ESRD) reported as counts, percentages of participants, and rate per 100 person-years.

    Time frame: Average of 3 years

  22. 22. Incidence of All-Cause Mortality

    All-cause mortality reported as counts, percentages of participants, and rate per 100 person-years.

    Time frame: Average of 3 years

  23. 23. Correlation Between Patient Characteristics, Disease Management, Quality of Care, and Incidence of Hypoglycemic Events

    Adjusted hazard ratios (HR) with 95% confidence intervals (CI) and p-values from multivariable regression models examining correlations between patient characteristics (age, sex, ethnicity, BMI, comorbidities), disease management (medication adherence, treatment intensification, lifestyle modifications), quality of care (treatment targets, monitoring frequency, guideline adherence), and incidence of hypoglycemic events.

    Time frame: Average of 3 years

  24. 24. Correlation Between Patient Characteristics, Disease Management, Quality of Care, and Uncontrolled T2DM

    Adjusted hazard ratios (HR) with 95% confidence intervals (CI) and p-values from multivariable regression models examining correlations between patient characteristics (age, sex, ethnicity, BMI, comorbidities), disease management (medication adherence, treatment intensification, lifestyle modifications), quality of care (treatment targets, monitoring frequency, guideline adherence), and uncontrolled T2DM (HbA1c ≥7%).

    Time frame: Average of 3 years

  25. 26. Correlation Between Patient Characteristics, Disease Management, Quality of Care, and Uncontrolled HTN

    Adjusted hazard ratios (HR) with 95% confidence intervals (CI) and p-values from multivariable regression models examining correlations between patient characteristics (age, sex, ethnicity, BMI, comorbidities), disease management (medication adherence, treatment intensification, lifestyle modifications), quality of care (treatment targets, monitoring frequency, guideline adherence), and uncontrolled HTN (BP ≥140/90 mmHg).

    Time frame: Average of 3 years

  26. 27. Correlation Between Patient Characteristics, Disease Management, Quality of Care, and Heart Failure Worsening

    Adjusted hazard ratios (HR) with 95% confidence intervals (CI) and p-values from multivariable regression models examining correlations between patient characteristics (age, sex, ethnicity, BMI, comorbidities), disease management (medication adherence, treatment intensification, lifestyle modifications), quality of care (treatment targets, monitoring frequency, guideline adherence), and heart failure worsening.

    Time frame: Average of 3 years

  27. 28. Correlation Between Patient Characteristics, Disease Management, Quality of Care, and CKD Progression/RRT Initiation/ESRD Progression

    Adjusted hazard ratios (HR) with 95% confidence intervals (CI) and p-values from multivariable regression models examining correlations between patient characteristics (age, sex, ethnicity, BMI, comorbidities), disease management (medication adherence, treatment intensification, lifestyle modifications), quality of care (treatment targets, monitoring frequency, guideline adherence), and CKD Progression/RRT Initiation/ESRD Progression

    Time frame: Average of 3 years

  28. 29. Correlation Between Patient Characteristics, Disease Management, Quality of Care, and All-cause mortality

    Adjusted hazard ratios (HR) with 95% confidence intervals (CI) and p-values from multivariable regression models examining correlations between patient characteristics (age, sex, ethnicity, BMI, comorbidities), disease management (medication adherence, treatment intensification, lifestyle modifications), quality of care (treatment targets, monitoring frequency, guideline adherence), and All-cause mortality

    Time frame: Average of 3 years

  29. 30. Correlation Between Patient Characteristics, Disease Management, Quality of Care, and and Myocardial Infarction/Stroke/PAD

    Adjusted hazard ratios (HR) with 95% confidence intervals (CI) and p-values from multivariable regression models examining correlations between patient characteristics (age, sex, ethnicity, BMI, comorbidities), disease management (medication adherence, treatment intensification, lifestyle modifications), quality of care (treatment targets, monitoring frequency, guideline adherence), and Myocardial Infarction/Stroke/PAD

    Time frame: Average of 3 years

  30. 31. Correlation Between Patient Characteristics and Treatment Choices for T2DM

    Adjusted odds ratios (OR) with 95% confidence intervals (CI) and p-values from multivariable logistic regression models examining correlations between socio-demographic/clinical characteristics (age, sex, ethnicity, education, insurance, disease severity, comorbidities, kidney/cardiac function, contraindications, intolerances) and treatment choices for T2DM (line of treatment and drug class: metformin, SGLT2i, GLP-1RA, DPP-4i, sulfonylureas, insulin).

    Time frame: Average of 3 years

  31. 32. Correlation Between Patient Characteristics and Treatment Choices for HTN

    Adjusted odds ratios (OR) with 95% confidence intervals (CI) and p-values from multivariable logistic regression models examining correlations between socio-demographic/clinical characteristics (age, sex, ethnicity, education, insurance, disease severity, comorbidities, kidney/cardiac function, contraindications, intolerances) and treatment choices for HTN (line of treatment and drug class: ACEi, ARBs, CCBs, beta-blockers, diuretics).

    Time frame: Average of 3 years

  32. 33. Correlation Between Patient Characteristics and Treatment Choices for HF

    Adjusted odds ratios (OR) with 95% confidence intervals (CI) and p-values from multivariable logistic regression models examining correlations between socio-demographic/clinical characteristics (age, sex, ethnicity, education, insurance, disease severity, comorbidities, kidney/cardiac function, contraindications, intolerances) and treatment choices for HF (line of treatment and drug class: ACEi, ARBs, ARNI, beta-blockers, MRAs, SGLT2i).

    Time frame: Average of 3 years

  33. 34. Correlation Between Patient Characteristics and Treatment Choices for CKD

    Adjusted odds ratios (OR) with 95% confidence intervals (CI) and p-values from multivariable logistic regression models examining correlations between socio-demographic/clinical characteristics (age, sex, ethnicity, education, insurance, disease severity, comorbidities, kidney/cardiac function, contraindications, intolerances) and treatment choices for CKD (line of treatment and drug class: ACEi, ARBs, SGLT2i).

    Time frame: Average of 3 years

  34. 35. Percentage of Participants with Dyslipidemia by Category

    Distribution of participants with dyslipidemia by category reported as counts and percentages.

    Time frame: Average of 3 years

  35. 36. Percentage of Participants with Obesity by Category

    Distribution of participants with obesity by BMI category reported as counts and percentages.

    Time frame: Average of 3 years

  36. 37. Percentage of Participants Achieving LDL-C Target <100 mg/dL

    Percentage of participants achieving low-density lipoprotein cholesterol (LDL-C) target of \<100 mg/dL reported as counts and percentages.

    Time frame: Average of 3 years

  37. 38. Percentage of Participants Achieving LDL-C Target <70 mg/dL

    Percentage of participants achieving low-density lipoprotein cholesterol (LDL-C) target of \<70 mg/dL reported as counts and percentages.

    Time frame: Average of 3 years

  38. 40. Percentage of Participants Achieving Weight Loss ≥5%

    Percentage of participants achieving weight loss of 5% or more from baseline reported as counts and percentages.

    Time frame: Average of 3 years

  39. 41. Percentage of Participants Achieving Weight Loss ≥10%

    Percentage of participants achieving weight loss of 10% or more from baseline reported as counts and percentages.

    Time frame: Average of 3 years

  40. 42. Percentage of Participants Achieving Weight Loss ≥15%

    Percentage of participants achieving weight loss of 15% or more from baseline reported as counts and percentages.

    Time frame: Average of 3 years

  41. 43. Percentage of Participants Developing Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD)

    Percentage of participants developing metabolic dysfunction-associated steatotic liver disease (MASLD) as an obesity complication reported as counts and percentages.

    Time frame: Average of 3 years

  42. 44. Percentage of Participants Developing T2DM as an Obesity Complication

    Percentage of participants developing new-onset type 2 diabetes mellitus (T2DM) as an obesity complication reported as counts and percentages.

    Time frame: Average of 3 years

  43. 45. Incidence of Myocardial Infarction/Stroke in Participants with Dyslipidemia/Obesity

    Incidence of myocardial infarction (MI)/stroke in participants with dyslipidemia and/or obesity reported as counts and percentages.

    Time frame: Average of 3 years

  44. 46. Lipid levels in Participants with Dyslipidemia/Obesity

    Total cholesterol, LDL-C, HDL-C, Triglyceride in participants with dyslipidemia and/or obesity reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in mg/dL.

    Time frame: Average of 3 years

  45. 47. Body Weight in Participants with Dyslipidemia/Obesity

    Body weight in participants with dyslipidemia and/or obesity reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in kilograms (kg).

    Time frame: Average of 3 years

  46. 48. BMI in Participants with Dyslipidemia/Obesity

    Body mass index (BMI) in participants with dyslipidemia and/or obesity reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in kg/m².

    Time frame: Average of 3 years

  47. 49. Waist Circumference in Participants with Dyslipidemia/Obesity

    Waist circumference in participants with dyslipidemia and/or obesity reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in centimeters (cm).

    Time frame: Average of 3 years

  48. 50. Waist-to-Hip Ratio in Participants with Dyslipidemia/Obesity

    Waist-to-hip ratio in participants with dyslipidemia and/or obesity reported as mean ± standard deviation (SD) and median with interquartile range (IQR) (unitless ratio).

    Time frame: Average of 3 years through

  49. 51. Frequency of Lipid Profile Monitoring in Participants with Dyslipidemia/Obesity

    Frequency of lipid profile testing in participants with dyslipidemia and/or obesity reported as counts and percentages of participants monitored per clinical guidelines.

    Time frame: Average of 3 years

  50. 52. Frequency of Weight and BMI Monitoring in Participants with Dyslipidemia/Obesity

    Frequency of weight and BMI measurements in participants with dyslipidemia and/or obesity reported as counts and percentages of participants monitored per clinical guidelines.

    Time frame: Average of 3 years

  51. 53. Frequency of Obesity Complication Assessments

    Frequency of obesity complication assessments (screening for MASLD, T2DM, cardiovascular risk) reported as counts and percentages of participants assessed per clinical guidelines.

    Time frame: Average of 3 years

  52. 54. Percentage of Participants Receiving Lifestyle Modifications for Dyslipidemia/Obesity

    Percentage of participants receiving lifestyle modification interventions (dietary, exercise, behavioral) for dyslipidemia and/or obesity management reported as counts and percentages.

    Time frame: Average of 3 years

  53. 55. Percentage of Participants Receiving Statins/Ezetimibe/PCSK9 Inhibitors/Fibrates/Omega-3 Farry Acids/GLP-1 Receptor Agonists for Obesity/ other Anti-Obesity Medications

    Counts and Percentage of Participants Receiving Statins/Ezetimibe/PCSK9 Inhibitors/Fibrates/Omega-3 Farry Acids/GLP-1 Receptor Agonists for Obesity/ other Anti-Obesity Medications

    Time frame: Average of 3 years

  54. 56. Percentage of Participants Undergoing Bariatric Surgery

    Percentage of participants undergoing bariatric surgery for obesity management reported as counts and percentages.

    Time frame: Average of 3 years

  55. 57. Mean Number of Visits for Dyslipidemia/Obesity

    Number of visits for dyslipidemia and/or obesity management reported as counts and percentages of participants with at least one visit. Visits for dyslipidemia and/or obesity management reported as mean ± standard deviation (SD) and total visits.

    Time frame: Average of 3 years

  56. 58. Percentage of Participants Hospitalized for Dyslipidemia/Obesity

    Percentage of participants with at least one hospitalization related to dyslipidemia and/or obesity reported as counts and percentages. Hospitalizations for dyslipidemia and/or obesity reported as mean ± standard deviation (SD) and total hospitalizations.

    Time frame: Average of 3 years

07

Study locations

67 of 76 sites recruiting
  • Research Site
    Fortaleza, Ceará 60840-285, Brazil
    Recruiting
  • Research Site
    Colatina, Espírito Santo (ES) 29707-035, Brazil
    Recruiting
  • Research Site
    Salvador, Estado de Bahia 40730-220, Brazil
    Recruiting
  • Research Site
    Brasília, Federal District 70673-623, Brazil
    Recruiting
  • Research Site
    Poços de Caldas, Minas Gerais 37706-106, Brazil
    Recruiting
  • Research Site
    Campina Grande do Sul, Paraná 83430-000, Brazil
    Recruiting
  • Research Site
    Curitiba, Paraná 80230-020, Brazil
    Recruiting
  • Research Site
    Teresina, Piauí (PI) 64001-450, Brazil
    Recruiting
  • Research Site
    Santa Cruz do Sul, Rio Grande Do Sul (RS) 96835-090, Brazil
    Recruiting
  • Research Site
    Goiânia, State of Goias 74453-200, Brazil
    Recruiting
  • Research Site
    Joinville, State of Santa Catarina 89204-248, Brazil
    Recruiting
  • Research Site
    Bragança Paulista, São Paulo 12916-542, Brazil
    Recruiting
  • Research Site
    São Caetano do Sul, São Paulo 09521-160, Brazil
    Recruiting
  • Research Site
    São Paulo, 05403-000, Brazil
    Recruiting
  • Research Site
    São Paulo, 05403-900, Brazil
    Recruiting
  • Research Site
    Providencia, Santiago Metropolitan 7500922, Chile
    Recruiting
  • Research Site
    San José, Costa Rica
    Recruiting
  • Research Site
    Abidjan, Côte d’Ivoire
    Recruiting
  • Research Site
    Alexandria, Egypt
    Recruiting
  • Research Site
    Cairo, Egypt
    Recruiting
  • Research Site
    Giza, Egypt
    Recruiting
  • Research Site
    Tbilisi, Georgia
    Recruiting
  • Research Site
    Kumasi, Ghana
    Recruiting
  • Research Site
    Wan Chai, Hong Kong
    Recruiting
  • Research Site
    Ahmedabad, India
    Recruiting
  • Research Site
    Kolkata, 700034, India
    Recruiting
  • Research Site
    Mumbai, 400006, India
    Recruiting
  • Research Site
    Sulaymaniyah, 46001, Iraq
    Recruiting
  • Research Site
    Aktobe, 30019, Kazakhstan
    Recruiting
  • Research Site
    Almaty, 50000, Kazakhstan
    Recruiting
  • Research Site
    Almaty, 50006, Kazakhstan
    Recruiting
  • Research Site
    Almaty, 50012, Kazakhstan
    Recruiting
  • Research Site
    Almaty, 50054, Kazakhstan
    Recruiting
  • Research Site
    Nairobi, 14497, Kenya
    Recruiting
  • Research Site
    Kuala Lumpur, Malaysia
    Recruiting
  • Research Site
    León, Guanajuato 37549, Mexico
    Recruiting
  • Research Site
    Iztapalapa, Mexico
    Recruiting
  • Research Site
    Mexico City, 06720, Mexico
    Recruiting
  • Research Site
    Mexico City, Mexico
    Recruiting
  • Research Site
    México, 04530, Mexico
    Recruiting
  • Research Site
    Enugu, 400001, Nigeria
    Recruiting
  • Research Site
    Gwagwalada, 901002, Nigeria
    Recruiting
  • Research Site
    Kano, 700233, Nigeria
    Recruiting
  • Research Site
    Bulacan, Philippines
    Not yet recruiting
  • Research Site
    Cebu City, Philippines
    Recruiting
  • Research Site
    Iloilo City, Philippines
    Not yet recruiting
  • Research Site
    Laguna, Philippines
    Not yet recruiting
  • Research Site
    Mandaluyong, Philippines
    Not yet recruiting
  • Research Site
    Manila, Philippines
    Not yet recruiting
  • Research Site
    Mindoro, Philippines
    Not yet recruiting
  • Research Site
    Pampanga, Philippines
    Not yet recruiting
  • Research Site
    Quezon City, Philippines
    Not yet recruiting
  • Research Site
    Zamboanga City, Philippines
    Not yet recruiting
  • Research Site
    Florida, 1794, South Africa
    Recruiting
  • Research Site
    Parow, 7505, South Africa
    Recruiting
  • Research Site
    Umhlanga, 4319, South Africa
    Recruiting
  • Research Site
    Umhlanga, 4320, South Africa
    Recruiting
  • Research Site
    Changhua, 500209, Taiwan
    Recruiting
  • Research Site
    Kaohsiung City, 81301, Taiwan
    Recruiting
  • Research Site
    Niaosong, 83301, Taiwan
    Recruiting
  • Research Site
    Taichung, 40447, Taiwan
    Recruiting
  • Research Site
    Taichung, 40705, Taiwan
    Recruiting
  • Research Site
    Taichung, Taiwan
    Recruiting
  • Research Site
    Tainan, 704, Taiwan
    Recruiting
  • Research Site
    Taipei, Taiwan
    Recruiting
  • Research Site
    Taoyuan City, 33305, Taiwan
    Recruiting
  • Research Site
    Dnipro, Dnipropetrovsk Oblast 49005, Ukraine
    Recruiting
  • Research Site
    Kharkiv, Kharkiv Oblast 61039, Ukraine
    Recruiting
  • Research Site
    Kharkiv, Kharkiv Oblast, Ukraine
    Recruiting
  • Research Site
    Kyiv, Kyiv Oblast 3039, Ukraine
    Recruiting
  • Research Site
    Kyiv, Kyiv Oblast 4050, Ukraine
    Recruiting
  • Research Site
    Vinnytsia, Vinnytsia Oblast 21000, Ukraine
    Recruiting
  • Research Site
    Lutsk, Volyn Oblast 43024, Ukraine
    Recruiting
  • Research Site
    Uzhhorod, Zakarpattia Oblast 88000, Ukraine
    Recruiting
  • Research Site
    Zaporizhzhya, Zaporizhzhia Oblast 69035, Ukraine
    Recruiting
  • Research Site
    Sharjah city, United Arab Emirates
    Recruiting
08

References and documents

Publications

  • Khunti K, Arici M, Pollock C, Huang CN, Silva-Tinoco R, Sayed AAE, Coto E, Salama K, Vasnawala H, Hadaoui A. Uncontrolled Hypertension in Cardio-Renal-Metabolic Diseases: Real-World Insights on Patient Profiles and Management Patterns From iCaReMe Global Registry. Int J Hypertens. 2026 Sep 3;2026:9668123. doi: 10.1155/ijhy/9668123. eCollection 2026. PubMed 42694927 ↗

Individual participant data

Plan to share: Yes — Qualified researchers can request access to anonymized individual patient-level data from AstraZeneca group of companies sponsored clinical trials via the request portal. All request will be evaluated as per the AZ disclosure commitment: https://astrazenecagrouptrials.pharmacm.com/ST/Submission/Disclosure. Yes, indicates that AZ are accepting requests for IPD, but this does not mean all requests will be shared.

Time frame: AstraZeneca will meet or exceed data availability as per the commitments made to the EFPIA Pharma Data Sharing Principles. For details of our timelines, please rerefer to our disclosure commitment at https://astrazenecagrouptrials.pharmacm.com/ST/Submission/Disclosure.

Access criteria: When a request has been approved AstraZeneca will provide access to the deidentified individual patient-level data in an approved sponsored tool. Signed Data Sharing Agreement (non-negotiable contract for data accessors) must be in place before accessing requested information. Additionally, all users will need to accept the terms and conditions of the SAS MSE to gain access. For additional details, please review the Disclosure Statements at https://astrazenecagrouptrials.pharmacm.com/ST/Submission/Disclosure.

Data sharing details ↗ · astrazenecagroup-dt.pharmacm.com

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Sep 9, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT03549754
Lead sponsor
AstraZeneca
Responsible party
Sponsor
First posted
Jun 8, 2018
Start date
Feb 17, 2018
Primary completion
Dec 31, 2030 (estimated)
Completion
Dec 31, 2030 (estimated)
Last update
Sep 9, 2026

Study contacts

AstraZeneca Clinical Study Information Center
Contact
information.center@astrazeneca.com
1-877-240-9479
Hardik Vasnawala, MD
study director · AstraZeneca
Isidro Villanueva, MD
study director · AstraZeneca
Ahmed Hadaoui, PharmD
study director · AstraZeneca

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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