ChinaHEART Luohe: TyHGB Index and CVD Risk Stratification in 6,755 Adults

A community-based screening cohort of 6,755 adults from Luohe, China, collected between 2021 and 2022. The dataset was created by Zhiwei Huang and analyzes the association between a composite metabolic index (TyHGB) and World Health Organization-defined high cardiovascular disease risk. The prevalence of high-risk status in the cohort was 22%.

Use Cases

• Evaluating the predictive performance of the TyHGB index for cardiovascular risk based on the reported AUC of 0.624.
• Assessing incremental value of novel biomarkers beyond conventional risk factors using the reported IDI and NRI metrics.
• Exploring nonlinear associations between metabolic indices and disease risk using the restricted cubic spline methods described.
• Training or validating machine learning models for risk stratification, as referenced in the exploratory analyses.

Strengths

• Includes data from 6,755 adults, providing a substantial sample size for analysis.
• Reports specific statistical results, including an odds ratio of 1.131 per unit increase in TyHGB and a prevalence of 22% for high-risk status.
• Uses a defined 10-year WHO CVD risk threshold of ≥20% for outcome classification.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data reflects a specific geographic and temporal bias inherent to the single ChinaHEART Luohe study from 2021-2022.

Provenance

Source

figshare

Collection Method

Community-based screening cohort from the ChinaHEART Luohe study.

Time Range

2021-2022

Freshness

Last updated 2026-05-07 04:45:38; freshness should be verified.

Geography

Luohe, China