Cardiovascular

Independent association of the CHG index with cardiometabolic multimorbidity: real-world evidence from community and clinical datasets.

TL;DR

Higher CHG index was independently associated with prevalent cardiometabolic multimorbidity in both hospitalized and community-dwelling middle-aged and older Chinese adults, with J-shaped nonlinear associations and improved discrimination when CHG was added to the basic model.

Key Findings

Each SD increase in the CHG index was associated with higher odds of prevalent CMM in both the clinical and CHARLS datasets.

  • Clinical dataset (5,544 hospitalized patients from the First Affiliated Hospital of Xinjiang Medical University): OR = 1.96, 95% CI: 1.74-2.21.
  • CHARLS dataset (11,221 community-dwelling participants): OR = 4.14, 95% CI: 3.46-4.94.
  • Multivariable logistic regression adjusted for demographic, lifestyle, and clinical factors.
  • CMM was defined as the presence of at least two of heart disease, stroke, and diabetes mellitus.

The association between CHG and CMM was J-shaped and nonlinear in both datasets.

  • Restricted cubic spline analyses showed significant J-shaped nonlinear associations in both the clinical dataset and CHARLS.

Adding CHG to the basic model improved discrimination for prevalent CMM in both datasets.

  • AUC was 0.690 in the clinical dataset and 0.834 in CHARLS after adding CHG to the basic model.
  • Discrimination was evaluated with receiver operating characteristic curves.

No subgroup interaction remained significant after multiple-testing correction.

  • A nominal smoking interaction was seen in the clinical dataset (p for interaction = 0.043).
  • This interaction was not significant after false discovery rate correction.

Sensitivity analyses were generally consistent with the primary findings.

  • Subgroup and sensitivity analyses were performed in both datasets.

Phenotype-specific analyses were broadly consistent across two-disease combinations in CHARLS, but the heart disease-stroke phenotype without diabetes showed a distinct pattern in the clinical dataset.

  • In CHARLS, results were broadly consistent across the two-disease CMM combinations.
  • In the clinical dataset, the heart disease-stroke phenotype without diabetes differed from the other phenotypes.

The authors conclude CHG may serve as a simple, accessible indicator of cardiometabolic burden derived from routine laboratory measures.

  • CHG is derived from routinely available laboratory measures (cholesterol, HDL, glucose).
  • The authors suggest potential value for risk stratification and population-level identification of individuals with greater cardiometabolic disease burden.
  • The study is cross-sectional, so associations pertain to prevalent CMM.

What This Means

This study looked at whether a simple blood-test-based score, the CHG index (which combines cholesterol, HDL "good" cholesterol, and blood glucose), is linked to having several heart and metabolic diseases at once. The researchers defined this "cardiometabolic multimorbidity" as having at least two of heart disease, stroke, and diabetes. They analyzed 5,544 hospital patients in Xinjiang and 11,221 community-dwelling older adults from a national Chinese survey (CHARLS). In both groups, people with higher CHG scores were more likely to have multiple of these conditions. Each standard-deviation increase in CHG was linked to about twice the odds in the hospital group and about four times the odds in the community group, after accounting for other factors. The relationship was J-shaped, meaning the odds rose more steeply at higher CHG levels. Adding CHG to a basic model modestly improved its ability to tell who had multiple conditions. No differences between subgroups held up after statistical correction for multiple comparisons. This research suggests CHG, calculated from routine lab tests, could be a convenient marker of cardiometabolic disease burden. However, because the study is cross-sectional, it shows association at one point in time and cannot show that a high CHG causes these conditions or predicts who will develop them. Findings come from middle-aged and older Chinese adults and may not apply elsewhere.

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Citation

Cui Z, Lan T, Lu M, Zhang N, Yang D, Xuhrat X, et al.. (2026). Independent association of the CHG index with cardiometabolic multimorbidity: real-world evidence from community and clinical datasets.. Frontiers in public health. https://doi.org/10.3389/fpubh.2026.1967131