Clinical trial Recruiting at 2 sites Observational Ages 18 and up

Predicting heart disease in patients with chronic kidney disease in Poland

Official title: Cardiovascular Disease in Patients With Chronic Kidney Disease: Polish Kidney- Heart Project

Run by Medical University of Silesia · NCT06083168 · Data updated 2026-11-12

This study is trying to see if collecting health data from people with chronic kidney disease in Poland can help predict heart problems and other related issues over time.

More Cardiovascular Diseases trials

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment6000 (estimated)
SponsorMedical University of Silesia
Academic / other
Locations2 sites (Olsztyn and 1 other locations)
StatusRecruiting
StartedDecember 1, 2023
Main results expectedNovember 30, 2033
Study endsJanuary 31, 2036
Registry record updatedMay 2, 2024
Trial IDNCT06083168 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates for this study are patients diagnosed with chronic kidney disease, characterized by an eGFR of less than 60 ml/min/1.73 m2 or elevated urine albumin creatinine ratio.

Probably not a fit

Patients who are terminally ill with cancer or unable to provide informed consent will not benefit from this study.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational longitudinal study aims to collect demographic, laboratory, and clinical data from patients with chronic kidney disease (CKD) in Poland to predict the onset of cardiovascular disease and related events. The study will utilize machine learning and artificial intelligence to analyze the data collected from two academic centers over a period of 10 years. Patients will receive annual follow-ups via telephone and on-site health checks to monitor their health outcomes, including cardiovascular events and progression of kidney disease. A subgroup analysis will focus on patients with diabetes and CKD.

Why it matters

Potential benefit: If successful, this study could lead to improved prediction and management of cardiovascular risks in patients with chronic kidney disease.

How similar studies have gone: Other studies have shown success in using machine learning approaches to predict cardiovascular events in patients with chronic kidney disease, making this approach promising.

Who can join: the full rules

Show full inclusion / exclusion criteria
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

Where it's running

  • Wojewódzki Szpital Specjalistyczny w Olsztynie
    Olsztyn, Poland
    Recruiting
  • Samodzielny Publiczny Szpital Kliniczny Nr 1 im. prof. Stanisława Szyszko Śląskiego Uniwersytetu Medycznego w Katowicach
    Zabrze, Poland
    Recruiting

Study contacts

  • Principal investigator: Katarzyna Nabrdalik, assoc. Prof — Medical University of Silesia
  • Study coordinator: Katarzyna Nabrdalik, assoc. Prof
  • Email: knabrdalik@sum.edu.pl
  • Phone: 0048323704438

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.