New Blood Marker Predicts Heart Disease Risk in Early Metabolic Syndrome
CTI index combining inflammation and insulin resistance shows 111% higher death risk in 5,847 Chinese adults.
Summary
Researchers analyzed 5,847 Chinese adults and found that the C-reactive protein-triglyceride glucose (CTI) index strongly predicts cardiovascular disease and death risk in people with early-stage cardiovascular-kidney-metabolic syndrome. Higher CTI levels showed a 111% increase in death risk per unit increase, suggesting this simple blood test could help identify at-risk individuals before serious complications develop.
Detailed Summary
This nationwide Chinese study reveals a powerful new biomarker for predicting cardiovascular disease and death in people with early-stage metabolic dysfunction. Researchers followed 5,847 adults from the China Health and Retirement Longitudinal Study for up to 9 years, focusing on individuals with stages 0-3 of cardiovascular-kidney-metabolic (CKM) syndrome—the preclinical phases before major complications occur.
The CTI index combines C-reactive protein (inflammation marker) with triglycerides and fasting glucose (insulin resistance markers) into a single score. After comprehensive statistical analysis controlling for age, sex, lifestyle factors, and existing conditions, researchers found striking results: each 1-unit increase in CTI was associated with a 111% higher risk of death from any cause.
The relationship between CTI and cardiovascular disease showed a non-linear pattern—risk increased more sharply at higher CTI levels. Participants in the highest CTI tertile were older, had higher BMI, blood pressure, and glucose levels, plus more diabetes, hypertension, and dyslipidemia compared to the lowest tertile. The predictive power remained strong across different age groups, sexes, and glucose tolerance levels.
This research addresses a critical gap in early detection. Current cardiovascular risk assessment often misses people in the preclinical stages when interventions could be most effective. The CTI index uses readily available lab tests, making it practical for routine screening. The findings suggest that combining inflammation and metabolic markers provides superior risk prediction compared to individual biomarkers alone.
The study's strength lies in its large sample size, long follow-up period, and focus on the understudied early stages of metabolic dysfunction. However, the observational design cannot prove causation, and the findings need validation in other populations before widespread clinical adoption.
Key Findings
- 111% increased risk of all-cause mortality per 1-unit increase in CTI index after full adjustment (p<0.001)
- Non-linear relationship between CTI and cardiovascular disease incidence with sharper risk increases at higher levels
- Participants in highest CTI tertile had significantly higher BMI, blood pressure, glucose, and inflammatory markers vs lowest tertile
- CTI showed superior predictive value compared to individual CRP or TyG index components alone
- Risk associations remained consistent across age groups (45-60 vs ≥60 years) and both sexes
- Strong predictive power maintained across different glucose tolerance states (normal, prediabetes, diabetes)
- 5,723 participants analyzed for CVD outcomes and 5,847 for mortality over median 9-year follow-up
Methodology
Prospective cohort study using China Health and Retirement Longitudinal Study data from 2011-2020, following 5,847 adults aged ≥45 years with CKM syndrome stages 0-3. CTI calculated as 0.412 × Ln(CRP) + Ln(TG × FPG)/2. Cox proportional hazards regression with comprehensive adjustment for demographics, lifestyle, comorbidities, and medications. Restricted cubic spline analysis assessed non-linear relationships.
Study Limitations
Observational study design cannot establish causation between CTI and outcomes. Self-reported cardiovascular disease diagnosis may introduce bias. Findings from Chinese population may not generalize to other ethnicities. Missing data on some variables could affect results. Authors reported funding from Chinese government sources but declared no competing interests.
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