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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.
Abstract

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