Cardiovascular Risk Prediction in CKD

Seminars in Nephrology
Shoshana H Ballew, Kunihiro Matsushita

Abstract

Cardiovascular disease is an important complication for patients with chronic kidney disease (CKD), warranting accurate risk prediction, but clinical guidelines are inconsistent regarding whether or how to use information on measures of CKD for predicting risk. Recent large meta-analyses have shown that key CKD measures (estimated glomerular filtration rate and albuminuria) improve cardiovascular risk prediction beyond traditional risk factors, especially when albuminuria is added to prediction models. In addition, several recent studies have shown that the use of filtration markers other than serum creatinine, cystatin C, and β2-microglobulin can improve cardiovascular risk prediction. In case the goal is to best estimate cardiovascular risk, recent studies have shown that measures reflecting pathophysiological processes in the cardiovascular system, such as coronary artery calcium score or high-sensitivity cardiac troponin T, can be useful in CKD populations. This review compares the current major clinical guidelines and synthesizes the growing body of evidence on traditional and nontraditional predictors for improving cardiovascular risk prediction in persons with CKD.

Citations

Sep 8, 2019·Molecules : a Journal of Synthetic Chemistry and Natural Product Chemistry·Ling HuJian-Hua Ran
Aug 23, 2020·International Journal of Molecular Sciences·Michele ProvenzanoMichele Andreucci
Jan 30, 2021·Frontiers in Cell and Developmental Biology·Hye Ryoun JangYoon-Goo Kim
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Aug 31, 2021·Therapeutic Apheresis and Dialysis : Official Peer-reviewed Journal of the International Society for Apheresis, the Japanese Society for Apheresis, the Japanese Society for Dialysis Therapy·Jialing ZhangShixiang Wang

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