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Article: Development of a non-invasive liver fibrosis score based on transient elastography for risk stratification in patients with type 2 diabetes

TitleDevelopment of a non-invasive liver fibrosis score based on transient elastography for risk stratification in patients with type 2 diabetes
Authors
KeywordsElasticity imaging techniques
Type 2
Risk assessment
Diabetes mellitus
Non-alcoholic fatty liver disease
Fibrosis
Issue Date2021
Citation
Endocrinology and Metabolism, 2021, v. 36, n. 1, p. 134-145 How to Cite?
AbstractBackground: In non-alcoholic fatty liver disease (NAFLD), transient elastography (TE) is an accurate non-invasive method to identify patients at risk of advanced fibrosis (AF). We developed a diabetes-specific, non-invasive liver fibrosis score based on TE to facilitate AF risk stratification, especially for use in diabetes clinics where TE is not readily available. Methods: Seven hundred sixty-six adults with type 2 diabetes and NAFLD were recruited and randomly divided into a training set (n=534) for the development of diabetes fibrosis score (DFS), and a testing set (n=232) for internal validation. DFS identified patients with AF on TE, defined as liver stiffness (LS) ≥9.6 kPa, based on a clinical model comprising significant determinants of LS with the lowest Akaike information criteria. The performance of DFS was compared with conventional liver fibrosis scores (NFS, FIB-4, and APRI), using area under the receiver operating characteristic curve (AUROC), sensitivity, specificity, positive and negative predictive values (NPV). Results: DFS comprised body mass index, platelet, aspartate aminotransferase, high-density lipoprotein cholesterol, and albuminuria, five routine measurements in standard diabetes care. Derived low and high DFS cut-offs were 0.1 and 0.3, with 90% sensitivity and 90% specificity, respectively. Both cut-offs provided better NPVs of >90% than conventional fibrosis scores. The AUROC of DFS for AF on TE was also higher (P<0.01) than the conventional fibrosis scores, being 0.85 and 0.81 in the training and testing sets, respectively. Conclusion: Compared to conventional fibrosis scores, DFS, with a high NPV, more accurately identified diabetes patients at-risk of AF, who need further evaluation by hepatologists.
Persistent Identifierhttp://hdl.handle.net/10722/298384
ISSN
2023 Impact Factor: 3.9
2023 SCImago Journal Rankings: 1.122
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLee, CH-
dc.contributor.authorSeto, WK-
dc.contributor.authorIeong, K-
dc.contributor.authorLui, DTW-
dc.contributor.authorFong, CHY-
dc.contributor.authorWan, HY-
dc.contributor.authorChow, WS-
dc.contributor.authorWoo, YC-
dc.contributor.authorYuen, MF-
dc.contributor.authorLam, KSL-
dc.date.accessioned2021-04-08T03:08:18Z-
dc.date.available2021-04-08T03:08:18Z-
dc.date.issued2021-
dc.identifier.citationEndocrinology and Metabolism, 2021, v. 36, n. 1, p. 134-145-
dc.identifier.issn2093-596X-
dc.identifier.urihttp://hdl.handle.net/10722/298384-
dc.description.abstractBackground: In non-alcoholic fatty liver disease (NAFLD), transient elastography (TE) is an accurate non-invasive method to identify patients at risk of advanced fibrosis (AF). We developed a diabetes-specific, non-invasive liver fibrosis score based on TE to facilitate AF risk stratification, especially for use in diabetes clinics where TE is not readily available. Methods: Seven hundred sixty-six adults with type 2 diabetes and NAFLD were recruited and randomly divided into a training set (n=534) for the development of diabetes fibrosis score (DFS), and a testing set (n=232) for internal validation. DFS identified patients with AF on TE, defined as liver stiffness (LS) ≥9.6 kPa, based on a clinical model comprising significant determinants of LS with the lowest Akaike information criteria. The performance of DFS was compared with conventional liver fibrosis scores (NFS, FIB-4, and APRI), using area under the receiver operating characteristic curve (AUROC), sensitivity, specificity, positive and negative predictive values (NPV). Results: DFS comprised body mass index, platelet, aspartate aminotransferase, high-density lipoprotein cholesterol, and albuminuria, five routine measurements in standard diabetes care. Derived low and high DFS cut-offs were 0.1 and 0.3, with 90% sensitivity and 90% specificity, respectively. Both cut-offs provided better NPVs of >90% than conventional fibrosis scores. The AUROC of DFS for AF on TE was also higher (P<0.01) than the conventional fibrosis scores, being 0.85 and 0.81 in the training and testing sets, respectively. Conclusion: Compared to conventional fibrosis scores, DFS, with a high NPV, more accurately identified diabetes patients at-risk of AF, who need further evaluation by hepatologists.-
dc.languageeng-
dc.relation.ispartofEndocrinology and Metabolism-
dc.rightsThis work is licensed under a Creat​ive Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectElasticity imaging techniques-
dc.subjectType 2-
dc.subjectRisk assessment-
dc.subjectDiabetes mellitus-
dc.subjectNon-alcoholic fatty liver disease-
dc.subjectFibrosis-
dc.titleDevelopment of a non-invasive liver fibrosis score based on transient elastography for risk stratification in patients with type 2 diabetes-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.3803/ENM.2020.887-
dc.identifier.pmid33677935-
dc.identifier.pmcidPMC7937838-
dc.identifier.scopuseid_2-s2.0-85103067477-
dc.identifier.hkuros323130-
dc.identifier.hkuros325489-
dc.identifier.volume36-
dc.identifier.issue1-
dc.identifier.spage134-
dc.identifier.epage145-
dc.identifier.eissn2093-5978-
dc.identifier.isiWOS:000623637200016-
dc.identifier.issnl2093-596X-

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