Cardiovascular-kidney-metabolic (CKM) syndrome imposes a substantial global health burden, with most adults clustered in early stages 0–3. Insulin resistance (IR), as a core manifestation of metabolic dysfunction, is thought to play a pivotal role in CKM progression and cardiovascular disease (CVD) development, but the relative impact of diverse IR surrogates and the mediating role of biological ageing acceleration remain unclear. This prospective analysis included 6318 participants with CKM syndrome stages 0–3 from the China Health and Retirement Longitudinal Study (CHARLS). We evaluated twelve insulin resistance surrogates in relation to incident CVD using multivariable-adjusted logistic regression, restricted cubic splines (RCS), and quantile-based models. Mediation analyses assessed whether biological aging acceleration mediated the association between IR indices and new-onset CVD. 1231 (19.5%) of 6318 participants with CKM stages 0–3 developed new-onset CVD. All IR surrogates demonstrated significant associations with CVD risk, with elevated TyG-derived indices, METS-IR, CTI, and TG/HDL-C showing positive associations whereas eGDR exhibited an inverse relationship (all P-trend < 0.05). RCS analyses revealed nonlinear relationships for METS-IR, CTI, and eGDR. Significant modification effects were observed by biological ageing acceleration, gender, and CKM stage. Mediation analyses indicated that biological aging acceleration accounted for 14.9–16.4% of the TyG-ABSI–CVD association and 1.3–4.2% of other IR–CVD relationships. Multiple IR surrogate indices independently predict cardiovascular disease in CKM stages 0–3, with biological aging acceleration mediating this association. Integrating these measures into risk stratification could enable early identification and targeted intervention for high-risk individuals.
Building similarity graph...
Analyzing shared references across papers
Loading...
Shu-Shu Han
Chinese Academy of Medical Sciences & Peking Union Medical College
Qin Liu
Sun Yat-sen University
Zhiming Zeng
Peking University
Cardiovascular Diabetology
Peking University
Sun Yat-sen University
Chinese Academy of Medical Sciences & Peking Union Medical College
Building similarity graph...
Analyzing shared references across papers
Loading...
Han et al. (Wed,) studied this question.
synapsesocial.com/papers/698692e89d267392364c9b0b — DOI: https://doi.org/10.1186/s12933-026-03084-5
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: