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

2021–2022 data from 6,755 adults in the ChinaHEART Luohe screening cohort, used to evaluate the TyHGB metabolic index for cardiovascular disease risk stratification. The dataset was created by Zhiwei Huang and published on figshare under a CC-BY-4.0 license. It supports analysis of the association between the TyHGB index and WHO-defined CVD high-risk status.

Use Cases

• Validate the TyHGB index for CVD risk stratification based on the described cohort data.
• Compare discrimination performance of TyHGB versus TyG index using area under the curve (AUC) metrics.
• Assess incremental reclassification value of TyHGB beyond conventional risk factors using IDI and NRI.
• Explore nonlinear associations between metabolic indices and CVD risk using restricted cubic splines.
• Support exploratory machine-learning analyses for risk prediction as mentioned in the results.

Strengths

• Includes data from a defined cohort of 6,755 adults.
• Analysis includes specific performance metrics like AUC (0.624 for TyHGB), IDI (0.003), and NRI (0.216).
• Study defines a clear risk cutoff (TyHGB ≥7.6) derived from the Youden index.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• Data reflects a specific community-based cohort from Luohe, which may limit generalizability.
• The primary file format is a DOCX document (16.5 KB), suggesting the underlying data may not be directly accessible as a structured table.

Provenance

Source

figshare, author Zhiwei Huang.

Collection Method

Community-based screening cohort from the ChinaHEART Luohe study.

Time Range

2021–2022

Freshness

Last updated 2026-05-07 04:45:39.

Geography

Luohe, China.