Combination of Cardiovascular, Kidney, and Metabolic Diseases in a Syndrome Named Cardiovascular-Kidney-Metabolic, With New Risk Prediction Equations
Associations of chronic kidney disease (CKD) with metabolic syndrome and cardiovascular disease (CVD) have long been recognized. Until recently, such associations were mainly limited to interrelationships between either heart and kidney, heart and metabolic syndrome, or metabolic syndrome and kidney...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-09-01
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| Series: | Kidney International Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468024924017571 |
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| Summary: | Associations of chronic kidney disease (CKD) with metabolic syndrome and cardiovascular disease (CVD) have long been recognized. Until recently, such associations were mainly limited to interrelationships between either heart and kidney, heart and metabolic syndrome, or metabolic syndrome and kidney. It is the merit of the American Heart Association (AHA) to have set up a work group of cardiologists, endocrinologists, and nephrologists for the purpose of combining all 3 disorders in a single entity, as an appreciation of their pathophysiological interrelatedness. To this end, they proposed the term cardiovascular-kidney-metabolic (CKM) syndrome, which reflects multidirectional relationships among metabolic risk factors, CKD, and the cardiovascular system. Following a consensus approach in defining CKM with 5 stages, the work group subsequently developed new risk prediction equations, named predicting risk of CVD events (PREVENT) equations, which included estimated glomerular filtration rate (eGFR) and albuminuria as variables in addition to traditional cardiovascular and metabolic factors. Despite several limitations, this development is a major step forward in cardiovascular risk prediction. Its clinical application should translate into earlier, more appropriate treatment and prevention of CKM syndrome. |
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| ISSN: | 2468-0249 |