Publication:
Clinical predictive score for detecting nonalcoholic fatty liver disease with significant fibrosis in patients with metabolic syndrome

dc.contributor.authorChayanis Kositamongkolen_US
dc.contributor.authorThammanard Charernboonen_US
dc.contributor.authorThanet Chaisathapholen_US
dc.contributor.authorChaiwat Washirasaksirien_US
dc.contributor.authorChonticha Auesomwangen_US
dc.contributor.authorTullaya Sitasuwanen_US
dc.contributor.authorPhunchai Charatcharoenwitthayaen_US
dc.contributor.authorPochamana Phisalprapaen_US
dc.contributor.otherSiriraj Hospitalen_US
dc.contributor.otherFaculty of Medicine, Thammasat Universityen_US
dc.contributor.otherThammasat Universityen_US
dc.date.accessioned2022-08-04T09:06:50Z
dc.date.available2022-08-04T09:06:50Z
dc.date.issued2021-11-05en_US
dc.description.abstractPatients with metabolic syndrome are at a higher risk of nonalcoholic fatty liver disease (NAFLD) and liver fibrosis than the general population. Still, accessibility of screening method for NAFLD with significant fibrosis, such as transient elastography (FibroScan) are limited in some settings. This study aimed to develop a simple clinical predictive score for detecting NAFLD with significant fibrosis in patients with metabolic syndrome. A cross-sectional study was designed to obtain the data from medical records of all relevant patients who underwent transient elastography between January 2011 and December 2020 at Siriraj Hospital, Thailand. A liver stiffness cutoff value of 7.0 kilopascal was used to define the presence of significant liver fibrosis. To examine potential predictors, medical history and clinical data commonly assessed in routine practice were selected by following expert opinions and univariable statistical analysis. Backward and forward stepwise logistic regression was performed to acquire a final prediction model. To simplify the model, a weighted score was assigned for each categorized predictor. In addition, eligible cutoff values of the score and their predictive performances were determined. A total of 745 medical records were reviewed. The prevalence of NAFLD with significant fibrosis in patients with metabolic syndrome was 12.6%. Most clinical characteristics of patients with NAFLD with significant fibrosis and those non-NAFLD and NAFLD with no/mild fibrosis were quite disparate. The most practical model comprised globulin, aspartate transaminase, platelet count, and type 2 diabetes. It provided a good predictive performance with an area under the receiver operating characteristic curve of 0.828 (95% confidence interval [CI]: 0.782, 0.874). At the proper cutoff value, sensitivity and specificity were 76.6% (95% CI: 66.7%, 84.7%) and 72.4% (95% CI: 68.7%, 75.8%), respectively. The likelihood ratio of testing positive for NAFLD with significant fibrosis was 2.8 (95% CI: 2.34, 3.27) among patients with scores above the cutoff value. The first score for detecting of NAFLD with significant fibrosis in patients with metabolic syndrome was developed. This practical score, providing a good predictive performance, should be useful to help clinicians prioritize needs for further investigations among high-risk patients, especially in resource-limited settings.en_US
dc.identifier.citationMedicine (United States). Vol.100, No.44 (2021)en_US
dc.identifier.doi10.1097/MD.0000000000027640en_US
dc.identifier.issn15365964en_US
dc.identifier.issn00257974en_US
dc.identifier.other2-s2.0-85120888304en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/77669
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85120888304&origin=inwarden_US
dc.subjectMedicineen_US
dc.titleClinical predictive score for detecting nonalcoholic fatty liver disease with significant fibrosis in patients with metabolic syndromeen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85120888304&origin=inwarden_US

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