Literature DB >> 24460024

The diagnostic accuracy of the Forns index, platelet count and AST to Platelet Ratio Index derived fibrosis index for the prediction of Hepatitis C virus-related significant liver fibrosis and cirrhosis.

Huseyin Kayadibi1, Bulent Yasar, Selvinaz Ozkara, Muhittin A Serdar, Oya O Kurdas, Can Gonen.   

Abstract

AIM: To provide a simple fibrosis index combining the routine laboratory markers for predicting significant fibrosis (SF) and cirrhosis in patients with chronic HCV.
METHODS: Platelet count, ALT, AST, AST to ALT Ratio, AST to Platelet Ratio Index (APRI), Forns index, FIB-4 and Age Platelet Index of 202 liver biopsy performed HCV-infected patients were reviewed. METAVIR classification was used to determine the stage of liver fibrosis. The predictive fibrosis index was constructed by multiple linear regression analysis (- 2.948 + 0.562 × Forns index + 0.288 × APRI + 0.006 × platelet count [10(9)/L]).
RESULTS: Median (25th-75th interquartile range) age was 52 (42-59) years, and 61% were male. 65.8% (n = 133) had SF (F2-F4) and 23.3% (n = 47) had cirrhosis (F4). For discrimination of SF, AUROCs were: Fibrosis index = 0.869, Forns index = 0.837, APRI = 0.814, platelet count = 0.764. For cirrhosis, AUROCs were: Fibrosis index = 0.911, Forns index = 0.883, APRI = 0.847, platelet count = 0.827. A cut-off point of ≤ 1.2 for fibrosis index excluded SF in 89% of patients with sensitivity of 96%, while > 2.0 predicted SF in 88% of patients with specificity of 86%. Threshold of ≤ 1.9 excluded cirrhosis in 95% of patients with sensitivity of 94%, while > 2.7 showed cirrhosis in 88% of patients with specificity of 95%. In multivariate logistic regression analysis, OR (95% CI) of fibrosis index was 7.825 (3.682-16.629) for SF (p < 0.001) and was 8.672 (4.179-17.996) for cirrhosis (p < 0.001).
CONCLUSION: SF and cirrhosis were predicted with accuracy of 82% and 89% and were excluded with accuracy of 74% and 82% using this fibrosis index which may potentially decrease the need for liver biopsy in 76% and 83% of patients, respectively.

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Year:  2014        PMID: 24460024     DOI: 10.3109/00365513.2013.879392

Source DB:  PubMed          Journal:  Scand J Clin Lab Invest        ISSN: 0036-5513            Impact factor:   1.713


  5 in total

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Authors:  Qing Pang; Jing-Yao Zhang; Xin-Sen Xu; Si-Dong Song; Kai Qu; Wei Chen; Yan-Yan Zhou; Run-Chen Miao; Su-Shun Liu; Ya-Feng Dong; Chang Liu
Journal:  World J Gastroenterol       Date:  2015-05-14       Impact factor: 5.742

2.  Noninvasive inflammatory markers for assessing liver fibrosis stage in autoimmune hepatitis patients.

Authors:  Xiaoling Yuan; Sheng-Zhong Duan; Junying Cao; Nan Gao; Jie Xu; Lanjing Zhang
Journal:  Eur J Gastroenterol Hepatol       Date:  2019-11       Impact factor: 2.566

3.  Serum Scoring and Quantitative Magnetic Resonance Imaging in Intestinal Failure-Associated Liver Disease: A Feasibility Study.

Authors:  Konstantinos C Fragkos; María Claudia Picasso Bouroncle; Shankar Kumar; Lucy Caselton; Alex Menys; Alan Bainbridge; Stuart A Taylor; Francisco Torrealdea; Tomoko Kumagai; Simona Di Caro; Farooq Rahman; Jane Macnaughtan; Manil D Chouhan; Shameer Mehta
Journal:  Nutrients       Date:  2020-07-19       Impact factor: 5.717

4.  Association between red cell distribution width-to-platelet ratio and hepatic fibrosis in nonalcoholic fatty liver disease: A cross-sectional study.

Authors:  Wen-Jie Zhou; Jing Yang; Ge Zhang; Zheng-Qiang Hu; Yong-Mei Jiang; Fan Yu
Journal:  Medicine (Baltimore)       Date:  2019-07       Impact factor: 1.817

5.  INR-to-platelet ratio (INPR) as a novel noninvasive index for predicting liver fibrosis in chronic hepatitis B.

Authors:  Rongrong Ding; Jianming Zheng; Dan Huang; Yanbing Wang; Xiufen Li; Xinlan Zhou; Li Yan; Wei Lu; Zongguo Yang; Zhanqing Zhang
Journal:  Int J Med Sci       Date:  2021-01-09       Impact factor: 3.738

  5 in total

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