Ontology highlight
ABSTRACT: Aims
The study aimed to develop a novel noninvasive model to detect advanced fibrosis based on routinely available clinical and laboratory tests.Materials and methods
A total of 309 patients who underwent liver biopsy were randomly divided into the estimation group (n = 201) and validation group (n = 108). The model was developed using multiple regression analysis in the estimation group and further verified in the validation group. Diagnostic accuracy was evaluated using the receiver operating characteristic (ROC) curve.Results
The model was named NAFLD Fibrosis Index (NFI): -10.844 + 0.046 × age - 0.01 × platelet count + 0.19 × 2h postprandial plasma glucose (PG) + 0.294 × conjugated bilirubin - 0.015 × ALT + 0.039 × AST + 0.109 × total iron binding capacity -0.033 × parathyroid hormone (PTH). The area under the ROC curve (AUC) of NFI was 0.86 (95% CI: 0.79-0.93, p < 0.001) in the estimation group and 0.80 (95% CI: 0.69-0.91, p < 0.001) in the validation group, higher than NFS, FIB4, APRI, and BARD, and similar to FibroScan (NFI AUC = 0.77, 95% CI: 0.66-0.89, p = 0.001 vs. FibroScan AUC = 0.76, 95% CI: 0.62-0.90, p = 0.002). By applying the low cut-off value (-2.756), advanced fibrosis could be excluded among 49.3% and 48% of patients in the estimation group (sensitivity: 93.1%, NPV: 97.9%, specificity: 55.2%, and PPV: 26.0%) and validation group (sensitivity: 81.3%, NPV: 94.2%, specificity: 53.3%, and PPV: 23.2%), respectively, allowing them to avoid liver biopsy.Conclusions
The study has established a novel model for advanced fibrosis, the diagnostic accuracy of which is superior to the current clinical scoring systems and is similar to FibroScan.
SUBMITTER: Yang X
PROVIDER: S-EPMC9788169 | biostudies-literature | 2022 Nov
REPOSITORIES: biostudies-literature
Yang Xinyu X Xia Mingfeng M Chang Xinxia X Zhu Xiaopeng X Sun Xiaoyang X Yang Yinqiu Y Wang Liu L Liu Qiling Q Zhang Yuying Y Xu Yanlan Y Lin Huandong H Liu Lin L Yao Xiuzhong X Hu Xiqi X Gao Jian J Yan Hongmei H Gao Xin X Bian Hua H
Diabetes/metabolism research and reviews 20220817 8
<h4>Aims</h4>The study aimed to develop a novel noninvasive model to detect advanced fibrosis based on routinely available clinical and laboratory tests.<h4>Materials and methods</h4>A total of 309 patients who underwent liver biopsy were randomly divided into the estimation group (n = 201) and validation group (n = 108). The model was developed using multiple regression analysis in the estimation group and further verified in the validation group. Diagnostic accuracy was evaluated using the rec ...[more]