Cardiovascular Diseases Clinical Trial
Official title:
Cardiovascular Disease in Patients With Chronic Kidney Disease: Polish Kidney- Heart Project
This is an observational longitudinal study which will collect routine demographic, laboratory and clinical parameters of patients with chronic kidney disease (CKD) in the Silesian and Warmia and Mazury Regions (Poland) aimed at predicting incident cardiovascular disease and cardiovascular and renal events using machine learning and artificial intelligence approaches. There will be a subgroup analysis of patients with diabetes and CKD.
Status | Recruiting |
Enrollment | 6000 |
Est. completion date | January 31, 2036 |
Est. primary completion date | November 30, 2033 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - CKD defined as estimated glomerular filtration rate (eGFR) < 60ml/min/1.73 m2 and/or urine albumin creatinine ratio ( UACR) > 30 mg/g lasting at least 3 months - CKD regardless of eGFR/albuminuria when documented otherwise (by means of imaging, renal biopsy result, genetic background, etc) Exclusion Criteria: - Death during hospital stay - Terminal stage of cancer - Lack of an informed consent |
Country | Name | City | State |
---|---|---|---|
Poland | Wojewódzki Szpital Specjalistyczny w Olsztynie | Olsztyn | |
Poland | Samodzielny Publiczny Szpital Kliniczny Nr 1 im. prof. Stanislawa Szyszko Slaskiego Uniwersytetu Medycznego w Katowicach | Zabrze |
Lead Sponsor | Collaborator |
---|---|
Medical University of Silesia | University of Liverpool, University of Warmia and Mazury in Olsztyn |
Poland,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Incident Coronary Artery Disease | New occurrence of coronary artery disease as diagnosed by standard medical procedures. | Annually, 10 years from enrollment | |
Primary | Myocardial Infarction | New occurrence of myocardial infarction as confirmed by electrocardiogram and/or biomarkers. | Annually, 10 years from enrollment | |
Primary | New onset heart failure or exacerbation of heart failure | New-Onset Heart Failure: Diagnosis based on the ESC guidelines, which include symptoms such as breathlessness, ankle swelling, and fatigue; objective evidence of cardiac dysfunction or structural abnormality in echocardiography; and response to treatment directed towards heart failure.
Hospitalization for decompensated heart failure: Requires unscheduled admission to a healthcare facility with heart failure as the primary reason for admission. |
Annually, 10 years from enrollment | |
Primary | Stroke or Transient Ischemic Attack | New occurrence of stroke as confirmed by neuroimaging or transient ischemic attack ascertained by typical symptoms. | Annually, 10 years from enrollment | |
Primary | Peripheral Vascular Disease Peripheral Vascular Disease Peripheral Vascular Disease Peripheral Vascular Disease Peripheral Vascular Disease | New diagnosis of peripheral vascular disease confirmed by imaging studies. | Annually, 10 years from enrollment | |
Primary | Atrial Fibrillation | Incident atrial fibrillation confirmed by electrocardiogram. | Annually, 10 years from enrollment | |
Primary | Death Due to Cardiovascular Cause | Death where the primary cause is attributed to cardiovascular disease. | Annually, 10 years from enrollment | |
Primary | Progression of Chronic Kidney Disease | Progression to macroalbuminuria or doubling of serum creatinine with a decrease of eGFR to less than 45 ml/min/1.73m^2 compared to baseline. | Annually, 10 years from enrollment | |
Primary | End-Stage Renal Disease or Renal Death | Onset of end-stage renal disease requiring initiation of maintenance dialysis or kidney transplantation, or death due to renal causes. | Annually, 10 years from enrollment | |
Secondary | Machine-learning predictors of outcomes, including ECG predictors and retinal imaging predictors. | Using new statistical methods in predicting outcomes | 10 years from enrollment | |
Secondary | Cluster analyses. | Use of statistical cluster analysis to identify patterns within primary outcome measures. | 10 years from enrollment |
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