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Updated: Feb 4, 2026

In Silico Clinical Trials for Cardiovascular Disease
Published on: May 27, 2022
Cardiovascular disease in dialysis patients
Mario Cozzolino1, Michela Mangano1, Andrea Stucchi1
1Department of Health Sciences, Renal Division, University of Milan, San Paolo Hospital, Milan, Italy.
Cardiovascular disease (CVD) is the leading cause of death in end-stage renal disease (ESRD) patients undergoing haemodialysis (HD). This review examines non-traditional CVD risk factors prevalent in HD patients to improve prevention and treatment strategies.
Area of Science:
- Nephrology
- Cardiology
- Internal Medicine
Background:
- Cardiovascular disease (CVD) is the primary cause of mortality in end-stage renal disease (ESRD) patients on maintenance haemodialysis (HD).
- CVD mortality in HD patients is significantly elevated (20-fold) compared to the general population.
- The majority of maintenance HD patients exhibit existing CVD, often linked to ventricular hypertrophy and uraemic factors.
Purpose of the Study:
- To review and elucidate the impact of non-traditional cardiovascular risk factors in patients undergoing haemodialysis.
- To provide a foundation for improved prevention and treatment strategies for CVD in this vulnerable population.
Main Methods:
- This is a review article.
- Focuses on summarizing existing literature regarding non-traditional CVD risk factors in HD patients.
- Synthesizes information on factors contributing to CVD in the uraemic milieu.
Main Results:
- Haemodialysis patients face numerous non-traditional CVD risk factors.
- These include chronic volume overload, anaemia, inflammation, oxidative stress, and chronic kidney disease-mineral bone disorder.
- The 'uraemic milieu' significantly contributes to cardiovascular complications.
Conclusions:
- Understanding non-traditional CVD risk factors is crucial for managing cardiovascular health in ESRD patients on HD.
- Addressing these factors is essential for reducing the high CVD burden and mortality in this population.
- Further research into these specific risk factors can guide targeted interventions.
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