Lipids & metabolic liver disease
The association of C-reactive protein–triglyceride–glucose index with cardiometabolic multimorbidity in middle-aged and older adults: evidence from two cohort studies
Authors' conclusion
CTI and its cumulative exposure level are closely associated with both the prevalence and incidence risk of CMM, and these findings were further supported by validation in the independent longitudinal ELSA cohort. As a simple composite index derived from routinely measured indicators, CTI may help identify individuals at high risk of CMM and provide a reference for early risk stratification and intervention in middle-aged and older populations.
Study context
- Population
- Middle-aged and older adults free of cardiometabolic multimorbidity (CMM) at baseline, China Health and Retirement Longitudinal Study (CHARLS) 2011–2020CHARLS cohort
- Participants
- 10,863 participants
- Exposure
- Higher vs lower C-reactive protein–triglyceride–glucose index
- Outcome
- Incident cardiometabolic multimorbidity (CMM)
- Follow-up
- ≈9 years
Methodological detailsexternal longitudinal validation (English Longitudinal Study of Ageing (ELSA)), cross-sectional replication (National Health and Nutrition Examination Survey (NHANES)), prespecified subgroup analyses
- External longitudinal validation (ELSA)
- Cross-sectional replication (NHANES)
- Prespecified subgroup analyses
Main finding
As reported in the abstract
- Incident CMM cases
- 1698 (15.6%)
Observational data: associations, not effects.
Further findings
| Outcome | HR (95% CI) | P value | |
|---|---|---|---|
| Incident CMM per 1-unit increase in cumulative CTI (2015 baseline subcohort) | 1.02 (1.00–1.05) | ||
| Incident CMM, external validation (ELSA, n = 3129; 406 cases, 13.0%)Per 1-unit CTI increase · primary model | 1.59 (0.99–2.55) | ||
| Incident CMM, external validation (ELSA, n = 3129; 406 cases, 13.0%)Highest CTI quartilevs Lowest CTI quartilePrimary model | 2.22 (1.06–4.62) | P for trend = 0.027 | |
| 0.20.5125Hazard ratio (log scale) |
CMM prevalence (cross-sectional, CHARLS and NHANES)
- Significant positive association between CTI and CMM prevalence, with a dose-response relationship
4-year CMM prediction: AUC after adding CTI to traditional risk factors
- AUC increased from 0.753 to 0.778
Original publication
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