Serum Mac-2 Binding Protein Glycosylation Isomer to Predict the Severity of Hepatic Fibrosis in Patients with Hepatitis C Virus Infection.
Chen-Hua LiuChun-Jen LiuTung-Hung SuShang-Chin HuangTai-Chung TsengJo-Hsuan WuPei-Jer ChenJia-Horng KaoPublished in: Diagnostics (Basel, Switzerland) (2022)
Large-scale studies to assess the utility of the Mac-2 binding protein glycosylation isomer (M2BPGi) in predicting hepatic fibrosis in patients with hepatitis C virus (HCV) infection are limited. Serum M2BPGi level determination was performed in 1460 patients with HCV who received liver stiffness measurement (LSM) using transient elastography (TE). The correlation of LSM and grade of hepatic fibrosis as staged by TE with M2BPGi was assessed. Receiver operating characteristic (ROC) curves were constructed to evaluate the diagnostic power of M2BPGi for fibrosis stages of ≥F2, ≥F3, and F4. The selected M2BPGi cutoff values were chosen based on the maximal Youden index, a positive likelihood ratio (LR) ≥ 10, and a negative LR ≤ 0.1. Serum M2BPGi level was highly correlated with LSM (Pearson correlation coefficient: 0.567, p < 0.001) and hepatic fibrosis stage (Spearman's rank correlation coefficient: 0.772, p < 0.001). The areas under ROC curves (AUROCs) of M2BPGi for ≥F2, ≥F3, and F4 were 0.865 (95% confidence interval [CI]: 0.846-0.884), 0.937 (95 % CI: 0.922-0.952), and 0.962 (95% CI: 0.951-0.972). The maximal Youden indices for ≥F2, ≥F3, and F4 were 1.72, 2.65, and 3.93. By selecting M2BPGi cutoff values with a positive LR ≥ 10 and a negative LR ≤ 0.1, clinicians were able to correctly discriminate F2, F3, and F4 in 69.1%, 77.8%, and 90.1% of patients. In conclusion, serum M2BPGi is a good diagnostic tool to predict the severity of hepatic fibrosis in patients with HCV infection.
Keyphrases
- hepatitis c virus
- binding protein
- liver fibrosis
- human immunodeficiency virus
- hepatitis c virus infection
- end stage renal disease
- magnetic resonance imaging
- mass spectrometry
- computed tomography
- resistance training
- diffusion weighted imaging
- blood brain barrier
- cerebral ischemia
- patient reported
- subarachnoid hemorrhage