A machine learning-derived aging index for risk stratification and mortality prediction in cardiovascular-kidney-metabolic syndrome: A retrospective cohort study

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What the source reports

by Zhengyang Zhu, Kejun Ren, Dong Wang, Yong Lv, Hua Jin, Lei Zhang, Yiping Wang Background The cardiovascular‑kidney‑metabolic (CKM) syndrome shows substantial heterogeneity in progression, yet existing biological age indices are not tailored to CKM pathways. We developed an aging index (CKMAI) using machine learning and evaluated its predictive performance for mortality and high‑risk CKM status.

Methods and findings We conducted a retrospective cohort study of 6,896 adults from the National Health and Nutrition Examination Survey (NHANES) 2005–2018, weighted for the US…

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Source & verification

Primary source: PLOS Medicine · October 6, 2026

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