DAPS score – a novel score for prediction of significant fibrosis in incidentally detected asymptomatic hepatitis B subjects

AIM OF THE STUDY: Significant fibrosis is an indication for treatment in hepatitis B patients with normal transaminase levels. The present study was aimed at analyzing the factors associated with significant fibrosis in incidentally detected asymptomatic hepatitis B subjects (IDAHS) and developing a model for fibrosis prediction for use in low-resource settings. MATERIAL AND METHODS: This is a single-center retrospective analysis of data on IDAHS who had undergone FibroScan. The variables associated with significant fibrosis in the derivation cohort were subjected to multivariate analysis by logistic regression. The model was applied to the validation cohort for fibrosis prediction. RESULTS: A total of 299 patients (mean age: 42.6 years, males: 63.2%) were included in the model derivation. Significant fibrosis was found in 27.4% (82/299) of the patients and 16.8% (30/178) of those with normal transaminase. On multivariate analysis, age, lower platelet count, and presence of diabetes were associated with fibrosis. Serum glutamic pyruvic transaminase (SGPT) was included in the model as it was nearing towards in multivariate analysis. The DAPS (diabetes, age, platelet count, SGPT) score was proposed with equal weightage to each variable. Based on the cumulative score, patients were categorized as having low risk (DAPS score 0-2) or high risk (DAPS score 3-4). The specificity of the model in derivation and validation cohorts was 98.2% and 97.6%, respectively, while the accuracy was 83.6% and 80%, respectively. CONCLUSIONS: Approximately 17% of IDAHS with normal transaminase have significant fibrosis. The DAPS score can be used easily as a bedside tool for assessment of significant fibrosis in IDAHS with excellent specificity.