CHG-composite indices are significantly associated with increased CMM risk and show potential as practical tools for risk stratification in middle-aged and older adults.
Abstract
Cardiometabolic multimorbidity (CMM), the co-occurrence of at least two cardiometabolic diseases, poses a significant public health threat. The Cholesterol, High-density Lipoprotein, and Glucose (CHG) index is an emerging surrogate marker of insulin resistance, yet its association with CMM, particularly when integrated with obesity indices, remains unexplored.This prospective cohort study analyzed 6991 adults aged ≥ 45 years without baseline CMM from the China Health and Retirement Longitudinal Study (CHARLS). Multivariable Cox regression, Kaplan-Meier curves, and restricted cubic splines were used to assess associations between CHG-obesity composite indices and CMM risk. Predictive performance was evaluated using time-dependent receiver operating characteristic (ROC) analysis, Harrell's C-index, net reclassification improvement (NRI), and integrated discrimination improvement (IDI). A Fine-Gray competing-risks model, subgroup analyses, and sensitivity analyses were also conducted. Over a median follow-up of 9 years, 677 participants developed CMM. Each 1-unit increase in CHG-related indices was significantly associated with elevated CMM risk, with fully adjusted HRs ranging from 1.01 to 1.86. The Fine-Gray competing risk model confirmed this robust association. CHG-WC and CHG-WHtR yielded the highest C-index (both 0.701). All CHG-related indices significantly improved risk reclassification and discrimination relative to conventional risk factors (all continuous NRI and IDI, p < 0.05). Hypertension significantly modified the association. Sensitivity analyses confirmed robustness. CHG-composite indices are significantly associated with increased CMM risk and show potential as practical tools for risk stratification in middle-aged and older adults.
AIMS
To investigate associations of atherogenic index of plasma (AIP) and seven obesity-composite indices with cardiometabolic multimorbidity (CMM) across glycemic states.
METHODS
We included 7,974 participants from the China Health and Retirement Longitudinal Study (CHARLS). Cox regression, restricted cubic splines...
Tong-Long Jin, Jiao Cui, Pei-Yi Mo et al.· Diabetes Research and Clinic...· 0 citations
Background Cardiometabolic multimorbidity (CMM) has become a major global public health challenge. Although dyslipidemia and chronic low-grade inflammation are known to contribute to cardiometabolic diseases, their long-term cumulative combined effects on the risk of CMM remain poorly understood. This study aimed to ev...
Li-Jun Meng, Hai-Bo Gao, Jing Yang et al.· Frontiers in Endocrinology· 0 citations
Cardiovascular-kidney-metabolic (CKM) syndrome is a potential public health challenge characterized by overlapping cardiovascular, kidney, and metabolic disorders. Although insulin resistance-related surrogate indices have been linked to cardiometabolic outcomes, their prognostic value for incidence of cardiometabo...
Min Li, Chenfeng Luo, Dong-ying Liu et al.· Scientific Reports· 0 citations
It is suggested that CHG, particularly its cumulative exposure, may serve as a potential marker of CMM risk and burden, however, further prospective validation is needed before CHG can be used for clinical risk prediction or to define decision thresholds.
Hui-Lin Li, Yu-Xin Zhang, Fuxin Zha et al.· Lipids in Health and Disease· 0 citations
Cardiometabolic multimorbidity (CMM) is a major public health burden, with lipid metabolism disorders closely linked to its onset. Existing studies focus mostly on single lipid indicators, leaving the predictive value of cumulative composite lipid indices under-explored.
We enrolled 4,782 CHARLS and 2,074...
Songna Xu, Yu-Bo Mu, Yupeng Dai et al.· BMC Cardiovascular Disorders· 0 citations
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