Literature DB >> 33664008

Evaluation of red cell distribution width to platelet ratio as a novel non-invasive index for predicting hepatic fibrosis in patients with chronic hepatitis C.

Iman Ramzy1, Rabab Fouad1, Rabab Salama1, Zeinab Abdellatif2, Aisha Elsharkawy1, Naglaa Zayed1, Marwa Elsharkawy3, Wafaa El Akel1, Nader Bakheet1.   

Abstract

BACKGROUND AND STUDY AIMS: Assessing the extent of fibrosis is an essential part of therapeutic decisions in patients with chronic hepatitis C (CHC). Liver biopsies are the "gold standard" for evaluating liver fibrosis but have many limitations. Thus, noninvasive predictors of fibrosis have been developed. This study aimed to determine the effectiveness of red cell distribution width (RDW) to platelet ratio as a simple noninvasive method for predicting the hepatic fibrosis stage in patients with CHC. PATIENTS AND METHODS: This cross-sectional study included 197 Egyptian patients with CHC. A routine pretreatment reference needle liver biopsy was performed. Fib-4, transient elastography (TE) by Fibroscan, AST to Platelet Ratio Index (APRI), and RDW to platelet ratio (RPR) were measured. Predictors of significant fibrosis (Metavir score ≥ F2) and advanced fibrosis (Metavir score ≥ F3) were identified.
RESULTS: Fib-4, TE, APRI, and RPR values differed significantly when comparing different stages of fibrosis (p < 0.01). Fib-4, TE, APRI, and RPR were reliable diagnostic tools at cutoff values of 1.17, 7.75, 0.18, and 0.07, respectively, for predicting significant fibrosis and cutoff values of 1.99, 8, 1.77, and 0.08, respectively, for predicting advanced fibrosis. Using logistic regression analysis, TE was identified as an independent predictor associated with significant and advanced fibrosis. Fib-4 was significantly associated with advanced fibrosis only.
CONCLUSION: The use of Fib-4, TE, APRI, and RPR measurements may decrease the need for liver biopsies for predicting significant and advanced fibrosis. RPR showed fair sensitivity, specificity, positive and negative predictive values, and overall accuracy for predicting significant fibrosis in patients with CHC.
Copyright © 2021 Pan-Arab Association of Gastroenterology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  APRI; Chronic HCV; Fib-4; RPR; TE

Year:  2021        PMID: 33664008     DOI: 10.1016/j.ajg.2020.12.003

Source DB:  PubMed          Journal:  Arab J Gastroenterol        ISSN: 1687-1979            Impact factor:   2.076


  1 in total

1.  Liver cirrhosis prediction for patients with Wilson disease based on machine learning: a case-control study from southwest China.

Authors:  Ke Chen; Yang Wan; Ju Mao; Yuqing Lai; Gesang Zhuo-Ma; Peiwei Hong
Journal:  Eur J Gastroenterol Hepatol       Date:  2022-07-25       Impact factor: 2.586

  1 in total

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