AI Summary & Key Takeaways
AI InsightConclusion: In the present study, a clinical score was developed for the noninvasive prediction of NASH; the score was based on a combination of routine biochemical parameters and was useful in distinguishing NASH from NAFLD.
📌 3 Key Takeaways
Özet
Background/Aims: To develop a clinical score for the prediction of nonalcoholic steatohepatitis (NASH) using rou- tine parameters in patients with nonalcoholic fatty liver disease who had abnormal liver function tests and/or fatty liver detected by ultrasonography. Materials and Methods: To identify parameters associated with the presence of NASH by evaluating anthropo- metric characteristics and routine biomarkers of 82 patients with histologically proven NAFLD and to develop a clinical score for predicting NASH according to the area under the curve of receiver operating characteristics (AUC) of parameters. Results: Four parameters [alanine aminotransferase (ALT), gamma-glutamyl transferase (GGT), C-reactive protein (CRP), and apolipoprotein B (ApoB)/apolipoprotein A1 (ApoA1) ratio] were significantly linked to NASH. The AU- ROCs of ALT, GGT, CRP, and ApoB/ApoA1 ratio for the prediction of NASH were 0.829, 0.892, 0.708, and 0.712, respec- tively. The AUROC of the combined clinical score for the prediction of NASH was 0.904 (95% CI, 0.885 1.002) at a cut-off of 3.8 points with a sensitivity of 90.2%, specificity of 87.0%, positive predictive value of 88.3%, and negative predictive value of 91.5%. Conclusion: In the present study, a clinical score was developed for the noninvasive prediction of NASH; the score was based on a combination of routine biochemical parameters and was useful in distinguishing NASH from NAFLD.