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Updated: Oct 29, 2025

Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
Does CHA2DS2-VASc score predict mortality in chronic kidney disease?
Christos Goudis1, Stylianos Daios2, Panagiotis Korantzopoulos3
1Department of Cardiology, Serres General Hospital, 45110, Serres, Greece. cgoudis@hotmail.com.
The CHA2DS2-VASc score effectively predicts cardiovascular and all-cause mortality in patients with chronic kidney disease (CKD). Higher scores indicate increased mortality risk, aiding physicians in identifying high-risk CKD individuals.
Area of Science:
- Nephrology
- Cardiology
- Epidemiology
Background:
- Chronic kidney disease (CKD) is a major global health concern, significantly increasing morbidity and mortality.
- Assessing cardiovascular (CV) and all-cause mortality is crucial for managing CKD patients.
- The CHA2DS2-VASc score, initially for atrial fibrillation thromboembolism, is being explored for CKD risk stratification.
Purpose of the Study:
- To evaluate the utility of the CHA2DS2-VASc score in predicting CV and all-cause mortality in patients with CKD.
- To determine if modified scores (R2CHADS2, R2CHA2DS2VASc) offer improved risk prediction in CKD.
Main Methods:
- Analysis of existing studies investigating the CHA2DS2-VASc and R2CHADS±VASC scores in CKD populations.
- Review of literature assessing the correlation between these scores and mortality outcomes.
Main Results:
- The CHA2DS2-VASc score demonstrated significant predictive value for both CV and all-cause mortality in CKD patients.
- A positive correlation was observed between higher CHA2DS2-VASc scores and increased mortality rates.
- Modified scores incorporating renal function (R2CHADS2, R2CHA2DS2VASc) were also examined for their predictive capabilities.
Conclusions:
- The CHA2DS2-VASc score is a valuable tool for identifying CKD patients at higher risk of mortality.
- These findings support the use of the CHA2DS2-VASc score in clinical practice to guide risk assessment and management strategies in CKD.
- Further research may refine risk prediction models for CKD patients using enhanced scoring systems.
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