2018Journal of Medical VirologyRequires access

Comparing the efficiency of Fib‐4, Egy‐score, APRI, and GUCI in liver fibrosis staging in Egyptians with chronic hepatitis C

Ahmed Cordie, Ahmed Salama, Marwa Elsharkawy, Saeed M. El‐Nahaas, Marwa Khairy, Aisha Elsharkawy, Mohamed Hassany, Gamal Esmat

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Abstract

Assessment of hepatic fibrosis in chronic hepatitis C virus patients by liver biopsy is not widely accepted despite its accuracy, being invasive, carrying complications, and adding cost. This paved the way to development and use of non-invasive markers of fibrosis in diagnosis of hepatic fibrosis. We aimed at evaluating the efficiency of Fib-4, Egy-score, Aspartate-to-platelet ratio index (APRI), and Göteborg University Cirrhosis Index (GUCI) in comparison to liver biopsy, in the assessment of hepatic fibrosis in chronic hepatitis C patients. This was a cross sectional study including 200 chronic HCV patients were divided into two groups according to stage of fibrosis (Metavir score) into non-significant fibrosis ( 1.27, APRI >0.48, Egy-score >0.73, and GUCI >0.57 significantly predict significant fibrosis (P < 0.01). Fib-4 carries the best performance and significant reliability with AUROC 0.783, sensitivity 74%, specificity 69%, PPV 0.55, and NPV 0.86. The addition of BMI to Fib-4 improved the significant fibrosis AUROC curve performance but did not reach statistical significant improvement. We concluded that age and BMI are good predictors of hepatic fibrosis. Fib-4 (>1.27) is the best method of prediction of significant fibrosis compared to Egy-score, APRI, and GUCI. Addition of BMI to Fib-4 did not improve diagnostic value of Fib-4.

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What this paper is about

Assessment of hepatic fibrosis in chronic hepatitis C virus patients by liver biopsy is not widely accepted despite its accuracy, being invasive, carrying complications, and adding cost. This paved the way to development and use of non-invasive markers of fibrosis in diagnosis of hepatic fibrosis. We aimed at evaluating the efficiency of Fib-4, Egy-score, Aspartate-to-platelet ratio index (APRI), and Göteborg University Cirrhosis Index (GUCI) in comparison to liver biopsy, in the assessment of hepatic fibrosis in chronic hepatitis C patients. This was a cross sectional study including 200 chronic HCV patients were divided into two groups according to stage of fibrosis (Metavir score) into non-significant fibrosis ( 1.27, APRI >0.48, Egy-score >0.73, and GUCI >0.57 significantly predict significant fibrosis (P < 0.01). Fib-4 carries the best performance and significant reliability with AUROC 0.783, sensitivity 74%, specificity 69%, PPV 0.55, and NPV 0.86. The addition of BMI to Fib-4 improved the significant fibrosis AUROC curve performance but did not reach statistical significant improvement. We concluded that age and BMI are good predictors of hepatic fibrosis. Fib-4 (>1.27) is the best method of prediction of significant fibrosis compared to Egy-score, APRI, and GUCI. Addition of BMI to Fib-4 did not improve diagnostic value of Fib-4.

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Available abstract

Assessment of hepatic fibrosis in chronic hepatitis C virus patients by liver biopsy is not widely accepted despite its accuracy, being invasive, carrying complications, and adding cost. This paved the way to development and use of non-invasive markers of fibrosis in diagnosis of hepatic fibrosis. We aimed at evaluating the efficiency of Fib-4, Egy-score, Aspartate-to-platelet ratio index (APRI), and Göteborg University Cirrhosis Index (GUCI) in comparison to liver biopsy, in the assessment of hepatic fibrosis in chronic hepatitis C patients. This was a cross sectional study including 200 chronic HCV patients were divided into two groups according to stage of fibrosis (Metavir score) into non-significant fibrosis ( 1.27, APRI >0.48, Egy-score >0.73, and GUCI >0.57 significantly predict significant fibrosis (P < 0.01). Fib-4 carries the best performance and significant reliability with AUROC 0.783, sensitivity 74%, specificity 69%, PPV 0.55, and NPV 0.86. The addition of BMI to Fib-4 improved the significant fibrosis AUROC curve performance but did not reach statistical significant improvement. We concluded that age and BMI are good predictors of hepatic fibrosis. Fib-4 (>1.27) is the best method of prediction of significant fibrosis compared to Egy-score, APRI, and GUCI. Addition of BMI to Fib-4 did not improve diagnostic value of Fib-4.

Key concepts: Fibrosis, Medicine, Cirrhosis, Gastroenterology, Internal medicine, Liver biopsy, Hepatic fibrosis, Biopsy

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Comparing the efficiency of Fib‐4, Egy‐score, APRI, and GUCI in liver fibrosis staging in Egyptians with chronic hepatitis C — Research Paper | ScholarLens