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J Gastroenterol ; 53(11): 1216-1224, 2018 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-29744597

RESUMO

BACKGROUND: The FIB4 index is clinically useful, but because its formula includes age, the appropriate cutoff point may differ by age group. Here, new FIB4 index cutoff points were validated using cohort data from 14 hepatology centers in Japan. METHODS: The FIB4 index was determined in biopsy-confirmed NAFLD patients (n = 1050) who were divided into four groups: ≤ 49, 50-59, 60-69, and ≥ 70 years. ROC analysis predicted advanced fibrosis in each age group; low and high cutoff points were defined by a sensitivity and specificity of 90%. The new and conventional cutoffs were compared for detecting advanced fibrosis. RESULTS: The modified low and high cutoff points were 1.05 and 1.21 in ≤ 49 years, 1.24 and 1.96 in 50-59 years, 1.88 and 3.24 in 60-69 years, and 1.95 and 4.56 in ≥ 70 years. In ≥ 60 years, the false-negative rate was increased using the modified high cutoff point, and the high cutoff point was better with the conventional cutoff point. The new proposed low and high cutoff points are 1.05 and 1.21 in ≤ 49 years, 1.24 and 1.96 in 50-59 years, 1.88 and 2.67 in 60-69 years, and 1.95 and 2.67 in ≥ 70 years; these cutoff points improved the accuracy of advanced fibrosis diagnosis. CONCLUSIONS: FIB4 index cutoff points for predicting advanced fibrosis in NAFLD increased with age. Cutoff points modified by age improved the diagnostic accuracy of estimations of advanced liver fibrosis using the FIB4 index.


Assuntos
Cirrose Hepática/diagnóstico , Hepatopatia Gordurosa não Alcoólica/diagnóstico , Adulto , Fatores Etários , Idoso , Alanina Transaminase/sangue , Aspartato Aminotransferases/sangue , Biomarcadores/sangue , Biópsia , Estudos Transversais , Feminino , Humanos , Fígado/patologia , Cirrose Hepática/etiologia , Cirrose Hepática/patologia , Masculino , Pessoa de Meia-Idade , Hepatopatia Gordurosa não Alcoólica/complicações , Hepatopatia Gordurosa não Alcoólica/patologia , Contagem de Plaquetas , Valor Preditivo dos Testes , Curva ROC , Sensibilidade e Especificidade , Índice de Gravidade de Doença
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