Construction of a noninvasive diagnosis model for nonalcoholic steatohepatitis
10.11855/j.issn.0577-7402.2020.07.09
- VernacularTitle: 非酒精性脂肪性肝炎无创诊断模型的构建
- Author:
Zhi-Jun HU
1
Author Information
1. Second Center for Diagnosis and Treatment of Cirrhosis, Fifth Medical Center of Chinese PLA General Hospital
- Publication Type:Journal Article
- From:
Medical Journal of Chinese People's Liberation Army
2020;45(7):730-734
- CountryChina
- Language:Chinese
-
Abstract:
[Abstract] Objective To establish a noninvasive diagnostic model consisting of clinical and laboratory indicators for predicting the occurrence of nonalcoholic steatohepatitis (NASH) with the model. Methods In this retrospective study, 111 liver biopsy-proven NASH patients and 343 non-NASH patients presented to the Fifth Medical Center of Chinese PLA General Hospital from January 2014 to July 2018 were enrolled and randomly divided into training group (n=364, including 85 NASH cases and 279 non-NASH cases) and validation group (n=90, including 26 NASH cases and 64 non-NASH cases). At the same time, 21 clinical and laboratory indicators, including age, gender, body mass index (BMI), biochemical and blood routine parameters, were tested and recorded. In the training group, univariate analysis and multivariate logistic regression analysis were used to screen out the independent predictors related to NASH, and to construct the noninvasive diagnostic model of NASH. The diagnostic performance of the model was tested in the validation group. Results In the training group, a noninvasive diagnostic model (NA-6) consisting of age, gamma glutamyltransferase (GGT), calcium, phosphorus, red blood cell and BMI was established to predict NASH and evaluate its severity. The area under the ROC curve (AUC) of NA-6 was 0.893, with 0.2 as the cut-off value, the diagnostic sensitivity was.
