Literature DB >> 17058238

A simple noninvasive index for predicting long-term outcome of chronic hepatitis C after interferon-based therapy.

Ming-Lung Yu1, Shi-Ming Lin, Chuan-Mo Lee, Chia-Yen Dai, Wen-Yu Chang, Shinn-Cherng Chen, Li-Po Lee, Zu-Yau Lin, Ming-Yuh Hsieh, Liang-Yen Wang, Wan-Long Chuang, Yun-Fan Liaw.   

Abstract

Changes in hepatic fibrosis after interferon-based therapy may be important in determining the long-term outcome of chronic hepatitis C (CHC). The use of liver biopsy for posttreatment assessment is not a viable option as a routine follow-up procedure. This study evaluated the predictive value of a simple noninvasive index, the aspartate aminotransferase (AST)-to-platelet ratio index assessed 6 months after end of treatment (APRI-M6). We evaluated APRI-M6, platelet-M6, AST-M6, and alpha-fetoprotein-M6 of 776 CHC patients with interferon-based therapy as well as the parameters at baseline of 562 untreated patients who were evaluated to predict the risk of hepatocellular carcinoma (HCC) and mortality, during a mean follow-up period of 4.75 (1.0-12.2) and 5.15 (1.0-16) years, respectively. Based on analysis of receiver operating characteristics (ROC) and using optimized cutoff point, the APRI-M6 and platelet-M6 had superior prediction models for long-term outcome with area under the curve of 0.870-0.875 and 0.824-0.847, respectively, and accuracy of 78%-81% and 76%-78%, respectively, for interferon-based-treated patients. The predictive values of all 4 parameters were poor in untreated patients. In subgroup analysis, the APRI-M6 provided a more consistent prediction ratio than platelet-M6 for sustained responders and cirrhosis-free subgroups; both parameters had similar prediction power for nonresponders and were unsatisfactory in patients with cirrhosis. According to Cox proportional hazards analysis, cirrhosis and APRI-M6 were the 2 most important factors for predicting HCC. In conclusion, APRI-M6 can accurately predict the long-term outcome of patients subjected to interferon-based treatment. Nevertheless, the data needs further validation, particularly since the predictive accuracy for patients with cirrhosis is low.

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Year:  2006        PMID: 17058238     DOI: 10.1002/hep.21363

Source DB:  PubMed          Journal:  Hepatology        ISSN: 0270-9139            Impact factor:   17.425


  33 in total

1.  Noninvasive serum models to predict significant liver related events in chronic hepatitis C.

Authors:  Ragesh Babu Thandassery; Saad Al Kaabi; Madiha E Soofi; Benjamin Tharian; Rajvir Singh
Journal:  Hepatol Int       Date:  2017-06-20       Impact factor: 6.047

2.  Hepatocellular carcinoma risk scores: ready to use in 2015?

Authors:  Chien-Jen Chen; Mei-Hsuan Lee; Jessica Liu; Hwai-I Yang
Journal:  Hepat Oncol       Date:  2015-01-12

Review 3.  Role of biomarkers in the prediction and diagnosis of hepatocellular carcinoma.

Authors:  Mahmoud Khattab; Magdy Fouad; Elham Ahmed
Journal:  World J Hepatol       Date:  2015-10-18

4.  Non-invasive prediction of hepatocellular carcinoma development using serum fibrosis marker in chronic hepatitis C patients.

Authors:  Nobuharu Tamaki; Masayuki Kurosaki; Shuya Matsuda; Masaru Muraoka; Yutaka Yasui; Shoko Suzuki; Takanori Hosokawa; Ken Ueda; Kaoru Tsuchiya; Hiroyuki Nakanishi; Jun Itakura; Yuka Takahashi; Yasuhiro Asahina; Namiki Izumi
Journal:  J Gastroenterol       Date:  2013-12-15       Impact factor: 7.527

5.  Post-treatment fibrotic modifications overwhelm pretreatment liver fibrosis in predicting HCC in CHC patients with curative antivirals.

Authors:  Chung-Feng Huang; Ming-Lun Yeh; Ching-I Huang; Po-Cheng Liang; Yi-Hung Lin; Zu-Yau Lin; Shinn-Cherng Chen; Jee-Fu Huang; Chia-Yen Dai; Wan-Long Chuang; Ming-Lung Yu
Journal:  Hepatol Int       Date:  2018-11-13       Impact factor: 6.047

6.  Role of simple biomarkers in predicting fibrosis progression in HCV infection.

Authors:  Rajasekhara R Mummadi; John R Petersen; Shu-Yuan Xiao; Ned Snyder
Journal:  World J Gastroenterol       Date:  2010-12-07       Impact factor: 5.742

Review 7.  Hepatocellular carcinoma in chronic hepatitis C: from bench to bedside.

Authors:  Alessio Aghemo; Massimo Colombo
Journal:  Semin Immunopathol       Date:  2012-07-22       Impact factor: 9.623

8.  Non-invasive aspartate aminotransferase to platelet ratio index correlates well with invasive hepatic venous pressure gradient in cirrhosis.

Authors:  Vijendra Kirnake; Anil Arora; Praveen Sharma; Mohan Goyal; Romesh Chawlani; Jay Toshniwal; Ashish Kumar
Journal:  Indian J Gastroenterol       Date:  2018-09-03

9.  Aspartate aminotransferase to platelet ratio index as a prospective predictor of hepatocellular carcinoma risk in patients with chronic hepatitis B virus infection.

Authors:  Hie-Won Hann; Shaogui Wan; Yinzhi Lai; Richard S Hann; Ronald E Myers; Fenil Patel; Kejin Zhang; Zhong Ye; Chun Wang; Hushan Yang
Journal:  J Gastroenterol Hepatol       Date:  2015-01       Impact factor: 4.029

10.  Long-term outcome of liver complications in patients with chronic HBV/HCV co-infection after antiviral therapy: a real-world nationwide study on Taiwanese Chronic Hepatitis C Cohort (T-COACH).

Authors:  Chun-Jen Liu; Ming-Lung Yu; Ming-Lun Yeh; Chao-Hung Hung; Kuo-Chih Tseng; Hsueh-Chou Lai; Chi-Yi Chen; Hsing-Tao Kuo; Jing-Houng Wang; Jyh-Jou Chen; Pei-Lun Lee; Rong-Nan Chien; Chi-Chieh Yang; Gin-Ho Lo; Chi-Ming Tai; Chih-Wen Lin; Jia-Horng Kao; Chen-Hua Liu; Sheng-Lei Yan; Ming-Jong Bair; Chun-Yen Lin; Wei-Wen Su; Cheng-Hsin Chu; Chih-Jen Chen; Shui-Yi Tung; Ching-Chu Lo; Pin-Nan Cheng; Yen-Cheng Chiu; Chia-Chi Wang; Jin-Shiung Cheng; Wei-Lun Tsai; Han-Chieh Lin; Yi-Hsiang Huang; Chung-Feng Huang; Jee-Fu Huang; Chia-Yen Dai; Wan-Long Chuang; Pei-Chien Tsai; Cheng-Yuan Peng
Journal:  Hepatol Int       Date:  2021-08-07       Impact factor: 6.047

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