Noninvasive biomarkers in predicting nonalcoholic steatohepatitis and assessing liver fibrosis: systematic review and meta-analysis.


Journal

Panminerva medica
ISSN: 1827-1898
Titre abrégé: Panminerva Med
Pays: Italy
ID NLM: 0421110

Informations de publication

Date de publication:
Dec 2021
Historique:
pubmed: 10 11 2020
medline: 22 3 2022
entrez: 9 11 2020
Statut: ppublish

Résumé

Nonalcoholic steatohepatitis (NASH) is characterized by hepatic steatosis with inflammation, ballooned hepatocytes and possible fibrosis, which may progress to liver cirrhosis. Although liver biopsy, remains the diagnostic gold standard of NASH, several noninvasive biomarkers have been studied, to avoid the need for this invasive procedure. We performed a systematic review with meta-analysis to evaluate the accuracy of several noninvasive biomarkers in predicting NASH and assessing liver fibrosis in NASH patients. An electronic search on PubMed and Embase was systematically performed. The principal summary outcome was the area under the curve (AUC), assessing the accuracy of NashTest, BARD (Body Mass Index, AST/ALT ratio, diabetes) score, NAFLD fibrosis score (NFS), APRI (aspartate aminotransferase-to-Platelet Ratio Index), and Fibrosis-4 (FIB-4) Index in predicting NASH and assessing liver fibrosis. Thirteen studies involving 6557 adult patients were included in the qualitative assessment of this review, out of which, six studies were included in the quantitative assessment. Prediction of NASH was evaluated better using NFS (AUC of 0.687) and FIB-4 (AUC of 0.729). Fibrosis stages 0 vs. 1-4 was diagnosed better using NFS (AUC of 0.718) and FIB-4 (AUC of 0.723). Advanced fibrosis was assessed better by BARD (AUC of 0.673), APRI (AUC of 0.762), NFS (AUC of 0.787) and FIB-4 (AUC of 0.821). FIB-4 predicted NASH and quantified liver fibrosis, stages 0 vs. 1-4 more precisely compared to NFS, APRI, and BARD. However, considering that methodological quality of the assessed studies is limited, the results should be considered with caution.

Identifiants

pubmed: 33165307
pii: S0031-0808.20.04171-3
doi: 10.23736/S0031-0808.20.04171-3
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

508-518

Auteurs

Abdulrahman Ismaiel (A)

Second Department of Internal Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.

Daniel-Corneliu Leucuta (DC)

Department of Medical Informatics and Biostatistics, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania - dleucuta@umfcluj.ro.

Stefan-Lucian Popa (SL)

Second Department of Internal Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.

Sharmila Fagoonee (S)

Institute for Biostructure and Bioimaging, National Research Council, Molecular Biotechnology Center, Turin, Italy.

Rinaldo Pellicano (R)

Unit of Gastroenterology, Molinette Hospital, Turin, Italy.

Ludovico Abenavoli (L)

Department of Health Sciences, Magna Graecia University, Catanzaro, Italy.

Dan L Dumitrascu (DL)

Second Department of Internal Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.

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Classifications MeSH