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TyHGB and CVD high-risk stratification: nonlinear association and discrimination in the ChinaHEART Luohe study
Zhiwei Huang1,2, Jirui Cai1, Jing Bai1
1Luohe Central Hospital, Luohe Medical College, Luohe, China.
Insights
The TyHGB metabolic index is linked to a higher risk of cardiovascular disease (CVD) in community settings. It offers improved risk prediction beyond traditional factors, aiding in early detection.
Area of Science:
- Cardiovascular Health
- Metabolic Syndrome
- Public Health Research
Background:
- The TyHGB index, a composite metabolic marker, has not been fully evaluated for its association with high cardiovascular disease (CVD) risk in community populations.
- Understanding novel risk predictors is crucial for public health strategies targeting CVD prevention.
Purpose of the Study:
- To investigate the association between the TyHGB index and World Health Organization (WHO)-defined high cardiovascular disease (CVD) risk status in a Chinese community cohort.
- To assess the incremental predictive value of the TyHGB index over conventional risk factors for CVD risk.
Main Methods:
- Analysis of 6,755 adults from the ChinaHEART Luohe screening cohort (2021-2022).
- Logistic regression and restricted cubic splines to assess TyHGB associations with WHO-defined CVD high-risk (≥20% 10-year risk).
- Receiver operating characteristic (ROC) curve analysis and reclassification metrics (IDI, NRI) to evaluate discrimination and incremental value.
Main Results:
- A prevalence of 22% for CVD high-risk was observed.
- TyHGB was independently associated with CVD high-risk (OR 1.131 per unit increase); high TyHGB (≥7.6) showed significantly higher odds (OR 1.642).
- TyHGB demonstrated superior discrimination compared to TyG and modestly improved risk reclassification (NRI 0.216) when added to conventional models.
Conclusions:
- The TyHGB index is positively associated with WHO-defined high cardiovascular disease risk in a community setting.
- TyHGB offers incremental discrimination and reclassification value for cross-sectional CVD risk assessment beyond established factors.
- Findings support TyHGB as a potential tool for identifying individuals at elevated CVD risk, though further research on incident events is warranted.
Introduction:
TyHGB is a composite metabolic index integrating triglyceride-to-high-density lipoprotein cholesterol ratio, fasting plasma glucose, and body mass index, but its association with World Health Organization (WHO)-defined cardiovascular disease (CVD) high-risk status in community settings remains unclear.
Methods:
We analyzed 6,755 adults from a community-based ChinaHEART Luohe screening cohort (2021-2022). CVD high-risk was defined as an estimated 10-year WHO CVD risk ≥20%. TyHGB was examined per 1-unit increase and as high versus low using a receiver operating characteristic (ROC)-derived cutoff (Youden index; approximately 7.6). Logistic regression and restricted cubic splines were used to assess associations and potential nonlinearity. Discrimination was evaluated using ROC curves with DeLong's tests, and incremental value beyond conventional risk factors was assessed using integrated discrimination improvement (IDI) and net reclassification improvement (NRI).
Results:
The prevalence of CVD high-risk was 22%. TyHGB was independently associated with CVD high-risk (fully adjusted OR 1.131 per 1-unit increase), and high TyHGB (≥7.6) was associated with higher odds (OR 1.642). In unadjusted analyses, TyHGB showed higher discrimination than TyG (AUC 0.624 vs 0.585). Adding TyHGB to the base model modestly improved reclassification (IDI 0.003; NRI 0.216). TyHGB was also retained in exploratory machine-learning analyses.
Discussion:
TyHGB was positively associated with WHO-defined CVD high-risk and provided modest incremental discrimination and reclassification for cross-sectional high-risk classification beyond conventional risk factors, supported by sensitivity analyses. These findings relate to estimated risk status rather than adjudicated incident CVD events.
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