Scientific Reports (Nov 2024)

Comparison of different noninvasive scores for assessing hepatic fibrosis in a cohort of chronic hepatitis C patients

  • Mohamed El-Kassas,
  • Wafaa Elakel,
  • Aisha Elsharkawy,
  • Noha Asem,
  • Ahmed Abu-Elfatth,
  • Aya Mostafa,
  • Amr Abdelazeem,
  • Magdy El-Serafy,
  • Mohamed Ibrahem,
  • Eman Alsayed Ghanem,
  • Nermeen Abdeen,
  • Wahid Doss,
  • Gamal Esmat,
  • Doaa Abdeltawab

DOI
https://doi.org/10.1038/s41598-024-79826-w
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 8

Abstract

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Abstract The continuous search for simple, noninvasive methods for assessing liver fibrosis remains very important to help risk-stratify and follow-up patients with chronic hepatitis C virus (HCV). This study aimed to evaluate the diagnostic performance and accuracy of six serological noninvasive scores for the assessment of liver fibrosis in comparison to liver histopathology. This retrospective cohort study included data from 19501 patients with chronic HCV infection who had liver biopsies as an HCV treatment prerequisite within the Egyptian national HCV treatment program. Six noninvasive scores (FIB-4, APRI, King’s score, Fibro-Q, fibrosis index, Fibro-α score) were evaluated and compared to liver histopathology data in assessing different stages of liver fibrosis. The diagnostic performance for each score was assessed using the area under the receiver-operating characteristic curve (AUROC). All six noninvasive scores were statistically significant for predicting different stages of liver fibrosis. Four scores (FIB-4, King’s score, APRI, and Fibro Q) had a better diagnostic performance for predicting different fibrosis stages. FIB-4, followed by the King’s score, performs better in identifying patients with advanced fibrosis at cutoffs of 2.01 and 16.7, respectively, with AUROC of 0.71 for both, and in predicting cirrhosis at cutoffs of 2.21 and 17.4, respectively with AUROC 0.82 for both. Using noninvasive scores for fibrosis assessment is very important, especially in limited resource settings, to rapidly stratify patients who need more specialized care.

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