Validation of five hepatic steatosis algorithms in metabolic-associated fatty liver disease: A population based study.
J Gastroenterol Hepatol
; 37(5): 938-945, 2022 May.
Article
em En
| MEDLINE
| ID: mdl-35174539
ABSTRACT
BACKGROUND AND AIM:
Non-invasive hepatic steatosis algorithms are recommended in detecting metabolic-associated fatty liver disease (MAFLD) in epidemiological studies. However, the diagnostic accuracy of these models is unclear. This study aimed to evaluate the diagnostic efficiency of five common models in a national survey population.METHODS:
The Third National Health and Nutrition Examination Survey (NHANES III) datasets were used in this study. The fatty liver index (FLI), hepatic steatosis index (HSI), non-alcoholic liver disease-liver fat score (NAFLD-LFS), the steato text (ST), and visceral adiposity index (VAI) were evaluated.RESULTS:
The prevalence of MAFLD in the general population was 31.2%. The proportion of MAFLD estimated using the NAFLD-LFS (30.8%) was the closest to the real number, whereas the ST model (66.1%) significantly overestimated the prevalence of MAFLD in this cohort. The FLI (36.9%) and HSI models (38.5%) also slightly overestimated the prevalence of MAFLD in the study population. The FLI had the highest area under the receiver operating characteristic (AUROC) value (0.793) among all models, with a sensitivity of 57.0%, a specificity of 83.8%, a positive predictive value (PPV) of 67.3%, and a negative predictive value (NPV) of 77.0%. The combination of the original algorithm with additional metabolic dysfunction criteria did not improve the diagnostic efficiency. The discriminative ability for MAFLD in all models was lower in participants with a normal body mass index (BMI).CONCLUSIONS:
Non-invasive models, especially the FLI, have satisfactory diagnostic performance in detecting MAFLD. However, models in people with normal BMIs require further development.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Hepatopatia Gordurosa não Alcoólica
Tipo de estudo:
Diagnostic_studies
/
Etiology_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Humans
Idioma:
En
Revista:
J Gastroenterol Hepatol
Assunto da revista:
GASTROENTEROLOGIA
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
China