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Published on: October 21, 2013
Association between the CHG index and cardiometabolic multimorbidity: a nationwide prospective cohort and
Li Liu1, Yanyan Meng2, Lianyi Hu1
1Department of Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Insights
The cholesterol, high-density lipoprotein, and glucose (CHG) index is a strong predictor of cardiometabolic multimorbidity (CMM). An elevated CHG index indicates a higher risk for developing CMM, aiding early detection.
Area of Science:
- Biomarkers and Public Health
- Metabolic Disease Research
Background:
- Cardiometabolic multimorbidity (CMM) presents a significant public health challenge.
- Current early detection methods lack practical biomarkers.
- Lipid and glucose metabolism are intrinsically linked to CMM development.
Purpose of the Study:
- To investigate the association between the cholesterol, high-density lipoprotein, and glucose (CHG) index and the risk of CMM.
- To evaluate the CHG index as a potential early detection biomarker for CMM.
Main Methods:
- Analysis of a nationwide prospective cohort (CHARLS) and a multi-community cross-sectional cohort.
- Utilized Cox proportional hazards models and logistic regression with restricted cubic splines.
- Assessed predictive performance using time-dependent and conventional ROC curves.
Main Results:
- An elevated CHG index was significantly associated with both incident and prevalent CMM.
- A nonlinear positive association was observed between the CHG index and CMM risk in both cohorts.
- The CHG index demonstrated stable predictive accuracy over time, validating its utility.
Conclusions:
- The CHG index is an independent predictor of increased CMM risk.
- It serves as a robust and reproducible biomarker for early CMM identification in Chinese populations.
Background:
Cardiometabolic multimorbidity (CMM) is a growing public health challenge, with limited practical biomarkers available for early detection. Given the established relationship between impaired lipid as well as glucose homeostasis and CMM, this study aims to examine the association between the cholesterol, high-density lipoprotein, and glucose (CHG) index and CMM risk.
Methods:
A nationwide prospective cohort (CHARLS, 2011-2018; n = 8,425) and a multi-community cross-sectional cohort (Beijing, 2021; n = 1,734) were analyzed. In the CHARLS cohort, Cox proportional hazards models were used to assess the association between the CHG index and incident CMM. In both cohorts, logistic regression and restricted cubic splines (RCS) were employed to examine the cross-sectional association between CHG and CMM. Time-dependent receiver operating characteristic (ROC) curves evaluated predictive performance in CHARLS cohort, while conventional ROC analysis was used in the multi-community cohort. Subgroup analyses, interaction tests, and sensitivity analyses further evaluated result reliability.
Results:
In the CHARLS cohort, 491 (5.8%) individuals developed incident CMM over 7 years of follow-up. CHG levels were significantly elevated in patients with CMM (p < 0.001). Overall, the CHG index was associated with incident CMM (OR = 1.97, 95% CI: 1.53-2.53; HR = 1.82, 95% CI: 1.45-2.27). A nonlinear positive association was found in both cohorts. The CHG index demonstrated stable predictive accuracy over time (AUCs: 0.67 at 3 years, 0.64 at 5 years, 0.63 at 7 years). These findings were robustly validated in the multi-community cohort, where the CHG index was also significantly associated with prevalent CMM (OR = 2.82, 95% CI: 2.04-3.90). Subgroup analyses confirmed robustness across populations, especially among those without baseline cardiometabolic disease.
Conclusion:
An elevated CHG index is independently associated with an increased risk of CMM across both prospective and cross-sectional studies. It serves as a robust and reproducible predictor for the early identification of CMM in diverse Chinese populations.
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