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Accuracy of prognostic serological biomarkers in predicting liver fibrosis severity in people with metabolic dysfunction-associated steatotic liver disease: a meta-analysis of over 40,000 participants.
López Tórrez, Sergio M; Ayala, Camila O; Ruggiro, Paula Bayer; Costa, Caroline Abud Drumond; Wagner, Mario B; Padoin, Alexandre Vontobel; Mattiello, Rita.
Affiliation
  • López Tórrez SM; School of Medicine, Graduate Program in Medicine and Health Sciences, Pontifícia Universidade Católica de Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
  • Ayala CO; School of Medicine, Postgraduate Program in Pediatrics and Child Health, Pontifícia Universidade Católica de Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
  • Ruggiro PB; School of Medicine, Pontifícia Universidade Católica de Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
  • Costa CAD; School of Medicine, Postgraduate Program in Pediatrics and Child Health, Pontifícia Universidade Católica de Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
  • Wagner MB; School of Medicine, Graduate Program in Medicine and Health Sciences, Pontifícia Universidade Católica de Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
  • Padoin AV; School Medicine, Universidade Federal de Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
  • Mattiello R; School of Medicine, Graduate Program in Medicine and Health Sciences, Pontifícia Universidade Católica de Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
Front Nutr ; 11: 1284509, 2024.
Article in En | MEDLINE | ID: mdl-38419854
ABSTRACT

Introduction:

A prognostic model to predict liver severity in people with metabolic dysfunction-associated steatotic liver disease (MASLD) is very important, but the accuracy of the most commonly used tools is not yet well established.

Objective:

The meta-analysis aimed to assess the accuracy of different prognostic serological biomarkers in predicting liver fibrosis severity in people with MASLD.

Methods:

Adults ≥18 years of age with MASLD were included, with the following liver biopsy and aspartate aminotransferase-to-platelet ratio (APRI), fibrosis index-4 (FIB-4), non-alcoholic fatty liver disease fibrosis score (NFS), body mass index, aspartate aminotransferase/alanine aminotransferase ratio, diabetes score (BARD score), FibroMeter, FibroTest, enhanced liver fibrosis (ELF), Forns score, and Hepascore. Meta-analyses were performed using a random effects model based on the DerSimonian and Laird methods. The study's risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2.

Results:

In total, 138 articles were included, of which 86 studies with 46,514 participants met the criteria for the meta-analysis. The results for the summary area under the receiver operating characteristic (sAUROC) curve, according to the prognostic models, were as follows APRI advanced fibrosis (AF) 0.78, any fibrosis (AnF) 0.76, significant fibrosis (SF) 0.76, cirrhosis 0.72; FIB-4 cirrhosis 0.83, AF 0.81, AnF 0.77, SF 0.75; NFS SF 0.81, AF 0.81, AnF 0.71, cirrhosis 0.69; BARD score SF 0.77, AF 0.73; FibroMeter SF 0.88, AF 0.84; FibroTest SF 0.86, AF 0.78; and ELF AF 0.87.

Conclusion:

The results of this meta-analysis suggest that, when comparing the scores of serological biomarkers with liver biopsies, the following models showed better diagnostic accuracy in predicting liver fibrosis severity in people with MASLD FIB-4 for any fibrosis, FibroMeter for significant fibrosis, ELF for advanced fibrosis, and FIB-4 for cirrhosis.Clinical trial registration [https//clinicaltrials.gov/], identifier [CRD 42020180525].
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Nutr Year: 2024 Document type: Article Affiliation country: Brazil Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Nutr Year: 2024 Document type: Article Affiliation country: Brazil Country of publication: Switzerland