TyG and TyG-BMI Indices for MASLD Severity Prediction in 7,035 Patients

7,035 subjects who completed Fibrotouch testing were analyzed in a retrospective study by Xingye Wu, last updated in March 2026. The data investigates the relationship between triglyceride-glucose (TyG) and triglyceride-glucose-body mass (TyG-BMI) indices and the severity of hepatic steatosis and liver fibrosis in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). Results show the TyG-BMI index had a significantly better predictive performance for MASLD severity than the traditional TyG index, with an AUC of 0.908.

Use Cases

• Predicting the severity of hepatic steatosis based on TyG-BMI index values.
• Assessing the risk of liver fibrosis progression using metabolic indices.
• Comparing the predictive performance of TyG and TyG-BMI indices for MASLD.
• Building risk stratification models for high-risk MASLD populations based on quartile analysis results.

Strengths

• Analysis is based on a substantial cohort of 7,035 subjects.
• Results include specific performance metrics, such as an AUC of 0.908 for TyG-BMI.
• Study provides concrete odds ratios, like a 239.41-fold higher risk for the highest TyG-BMI quartile.

Limitations

• Row count for the underlying dataset is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 18.0 KB file size suggests the provided document may be a summary, not the full raw dataset.

Provenance

Source

Xingye Wu via figshare.

Collection Method

Retrospective analysis of subjects who completed Fibrotouch testing.

Time Range

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Freshness

Last updated 2026-03-18 07:42:10; freshness should be verified.

Geography

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