1. HIF-1α associated logistic regression model serves for predicting decompensation of hepatitis B cirrhosis
- Author
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Jun-Hui Chen, Xiu-Ting He, Yi Wu, Yu-Bao Zheng, Zhe-Bin Wu, Shao-Zhuo Huang, Shui-Xian Yang, Yanyan Zhang, Lin-Dan Xie, Xiangfu Liu, and Yu-Rong Gu
- Subjects
medicine.medical_specialty ,Cirrhosis ,business.industry ,Internal medicine ,Medicine ,Decompensation ,Hepatitis B ,business ,medicine.disease ,Logistic regression ,Gastroenterology - Abstract
Background HIF-1α is relevant to inflammation and fibrosis in hepatitis B virus (HBV)-related liver diseases. Thus, we designed a predictive model for decompensated cirrhosis. Methods Peripheral plasma HIF-1α levels were measured in 52 subjects, including 20 patients with HBV-related-compensated-cirrhosis (HBV-CC), 20 patients with HBV-related-decompensated-cirrhosis (HBV-DC) that underwent transjugular intrahepatic portosystemic shunt (TIPS), and 12 healthy controls (HC). Portal plasma HIF-1α levels were detected in HBV-DC patients. The correlation between clinical data and HIF-1α levels was assessed, logistic regression and nomogram were used to develop prediction model. Results Plasma HIF-1α levels were significantly higher in HBV-DC patients than that in HBV-CC patients and healthy controls (DC: 656.34±417.96, CC: 294.23±138.03, HC: 194.63±54.14, pg/ml; P = 0.0004). Plasma HIF-1α levels were positively correlated with total bile acid, total bilirubin, APRI, FIB-4, and MELD scores, and negatively correlated with albumin and platelets. Multivariate logistic regression manifested that total bilirubin (OR = 19.439; 95% CI: 1.486–254.320, P = 0.024), spleen thickness (OR = 75.144; 95% CI: 4.157–1358.440, P = 0.003) and HIF-1α concentrations above 341.78 pg/ml (OR = 23.580; 95% CI: 1.842–301.781, P = 0.015) were markedly associated with HBV-DC and thus included in the nomogram. The terrific cut-off value for the probability of HBV-DC was > 45%, and area under the curve was 0.954 (P < 0.001), with 95% sensitivity and specificity. Conclusions HIF-1α is related to biochemical liver parameters, cirrhosis grade, and progression to HBV-DC. Our model has preferable predictive value for HBV-DC.
- Published
- 2021
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