Development and validation of a noninvasive liver fibrosis screening model incorporating GP73 in a health examination population

Development and validation of a noninvasive liver fibrosis screening model incorporating GP73 in a health examination population. Download PDF Abstract This study aimed to investigate the association between serum Golgi protein 73 (GP73) and liver fibrosis and developed a noninvasive screening model for a health-examination population. This cross-sectional study included 758 participants without previously diagnosed liver disease.

Liver fibrosis was defined as liver stiffness measurement ≥ 7.3 kPa. Participants were randomly divided into training and testing cohorts at a ratio of 7:3. Least absolute shrinkage and selection operator (LASSO) regression and multivariable logistic regression were performed to identify independent predictors and construct a nomogram.

Random forest (RF) and extreme gradient boosting (XGBoost) models were developed for comparison. Discrimination, calibration, threshold-based performance, and clinical utility were evaluated, with FIB-4 and APRI serving as conventional comparators. Age, AST, GP73, and BMI were independent predictors.

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