Accurate prediction of biliary atresia with an integrated model using MMP-7 levels and bile acids.
World J Pediatr
; 20(8): 822-833, 2024 Aug.
Article
em En
| MEDLINE
| ID: mdl-38141111
ABSTRACT
BACKGROUND:
Biliary atresia (BA) is a rare fatal liver disease in children, and the aim of this study was to develop a method to diagnose BA early.METHODS:
We determined serum levels of matrix metalloproteinase-7 (MMP-7), the results of 13 liver tests, and the levels of 20 bile acids, and integrated computational models were constructed to diagnose BA.RESULTS:
Our findings demonstrated that MMP-7 expression levels, as well as the results of four liver tests and levels of ten bile acids, were significantly different between 86 BA and 59 non-BA patients (P < 0.05). The computational prediction model revealed that MMP-7 levels alone had a higher predictive accuracy [area under the receiver operating characteristic curve (AUC) = 0.966, 95% confidence interval (CI) 0.942, 0.989] than liver test results and bile acid levels. The AUC was 0.890 (95% CI 0.837, 0.943) for liver test results and 0.825 (95% CI 0.758, 0.892) for bile acid levels. Furthermore, bile levels had a higher contribution to enhancing the predictive accuracy of MMP-7 levels (AUC = 0.976, 95% CI 0.953, 1.000) than liver test results. The AUC was 0.983 (95% CI 0.962, 1.000) for MMP-7 levels combined with liver test results and bile acid levels. In addition, we found that MMP-7 levels were highly correlated with gamma-glutamyl transferase levels and the liver fibrosis score.CONCLUSION:
The innovative integrated models based on a large number of indicators provide a noninvasive and cost-effective approach for accurately diagnosing BA in children. Video Abstract (MP4 142103 KB).Palavras-chave
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Atresia Biliar
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Ácidos e Sais Biliares
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Metaloproteinase 7 da Matriz
Limite:
Child, preschool
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Female
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Humans
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Infant
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Male
Idioma:
En
Revista:
World J Pediatr
Assunto da revista:
PEDIATRIA
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
China