A simple score, CKM(2)S(2)-BAG, to predict cardiovascular risk with cardiovascular-kidney-metabolic health metrics

一种名为 CKM(2)S(2)-BAG 的简易评分系统,利用心血管-肾脏-代谢健康指标预测心血管风险。

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Abstract

The 2023 American Heart Association (AHA) Health Presidential Advisory recommends risk assessment of cardiovascular disease (CVD) within the context of Cardiovascular-Kidney-Metabolic syndrome (CKMS). However, an intuitive and easy-to-use risk score incorporating CKM health metrics remains needed to prevent CVD in daily practice. We constructed an acronym-based clinical risk score using CKM-related predictors and externally validated its predictive performance for total CVD and its subtypes of atherosclerotic CVD and heart failure, based on two prospective community-based cohorts. We found the Cholesterol, Kidney function, Male [Doubled], Smoker [Doubled]-Blood pressure, Age, and fast blood Glucose (CKM(2)S(2)-BAG) score exhibited good-to-excellent and robust performance regarding discrimination and risk stratification for total CVD and its subtypes in internal and external validation. Using clinical routine data, the CKM(2)S(2)-BAG score accurately discriminates participants at cardiovascular low, intermediate, and high risk. Thus, it might help improve CVD prevention and management in clinical practice without any paper or electronic tools.

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