Evidence map›Paper›PMID 33677935›Full record

ArticleEndocrinology and metabolism (Seoul, Korea)2021

Development of a Non-Invasive Liver Fibrosis Score Based on Transient Elastography for Risk Stratification in Patients with Type 2 Diabetes.

Chi-Ho Lee, Wai-Kay Seto, Kelly Ieong, David T W Lui, Carol H Y Fong, Helen Y Wan, Wing-Sun Chow, Yu-Cho Woo, Man-Fung Yuen, Karen S L Lam

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Article in Endocrinology and metabolism (Seoul, Korea), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Chi-Ho LeeDepartment of Medicine, University of Hong Kong, Hong Kong, China.
Wai-Kay SetoDepartment of Medicine, University of Hong Kong, Hong Kong, China.
Kelly IeongDepartment of Medicine, University of Hong Kong, Hong Kong, China.
David T W LuiDepartment of Medicine, University of Hong Kong, Hong Kong, China.
Carol H Y FongDepartment of Medicine, University of Hong Kong, Hong Kong, China.
Helen Y WanDepartment of Medicine, University of Hong Kong, Hong Kong, China.
Wing-Sun ChowDepartment of Medicine, University of Hong Kong, Hong Kong, China.
Yu-Cho WooDepartment of Medicine, University of Hong Kong, Hong Kong, China.
Man-Fung YuenDepartment of Medicine, University of Hong Kong, Hong Kong, China.
Karen S L LamDepartment of Medicine, University of Hong Kong, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 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.

methodsSeven 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).

resultsDFS 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.

conclusionCompared to conventional fibrosis scores, DFS, with a high NPV, more accurately identified diabetes patients at-risk of AF, who need further evaluation by hepatologists.

Indexed as

Diabetes Mellitus, Type 2Elasticity Imaging TechniquesAdultAspartate AminotransferasesHumansLiver CirrhosisRisk AssessmentAspartate AminotransferasesDiabetes mellitus, type 2Elasticity imaging techniquesFibrosisNon-alcoholic fatty liver diseaseRisk assessment

Identifiers

PMID33677935
PMCPMC7937838

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