TyHGB and CVD High-Risk Stratification in the ChinaHEART Luohe Study

2021–2022 data from 6,755 adults in the ChinaHEART Luohe screening cohort. This dataset examines the association between the TyHGB metabolic index and World Health Organization-defined cardiovascular disease high-risk status. The research was authored by Zhiwei Huang and shared under a CC-BY-4.0 license.

Use Cases

• Evaluating the discriminatory power of the TyHGB index for cardiovascular risk based on the reported AUC of 0.624.
• Assessing incremental model improvement using metrics like integrated discrimination improvement (IDI) and net reclassification improvement (NRI).
• Investigating nonlinear associations between composite metabolic indices and health outcomes using restricted cubic splines.
• Benchmarking new risk indices against conventional risk factors as described in the logistic regression analyses.

Strengths

• Includes data from a specific, sizable cohort of 6,755 adults.
• Analysis is based on a clearly defined outcome (WHO CVD risk ≥20%) with a reported prevalence of 22%.
• Employs multiple statistical and machine learning validation methods, including ROC analysis and logistic regression.

Limitations

• Row count and column-level documentation are unknown, which limits suitability assessment.
• The data relates to estimated cross-sectional risk status rather than adjudicated incident cardiovascular disease events.
• The dataset is very small (18.6 KB), indicating limited raw data or a summary document.

Provenance

Source

figshare, author Zhiwei Huang.

Collection Method

Analysis of a community-based screening cohort.

Time Range

2021–2022

Freshness

Last updated 2026-05-07 04:45:39; freshness should be verified.

Geography

Luohe, China (inferred from ChinaHEART Luohe study).