The utility of P-I-R classification in predicting the on-treatment histological and clinical outcomes of patients with hepatitis B and advanced liver fibrosis

Author:

Chang Xiujuan1ORCID,Lv Caihong12,Wang Bingqiong3,Wang Jing4,Song Zheng12,An Linjing1,Chen Shuyan3,Chen Yongping5,Shang Qinghua6,Yu Zujiang7,Tan Lin8,Li Qin9,Liu Huabao10,Jiang Li11,Xiao Guangming12,Chen Liang13,Lu Wei14,Hu Xiaoyu15,Dong Zheng1,Chen Yan1,Sun Yameng3,Wang Xiaodong5,Li Zhiqin7,Chen Da9,You Hong3,Jia Jidong3,Yang Yongping12ORCID

Affiliation:

1. Department of Liver Disease, the Fifth Medical Center of Chinese PLA General Hospital, Beijing, China

2. Peking University 302 Clinical Medical School, Beijing, China

3. Liver Research Center, Beijing Friendship Hospital, Capital Medical University; Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis; National Clinical Research Center for Digestive Diseases, Beijing, China

4. Department of Hepatobiliary Disease, Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, Sichuan Province, China

5. Department of Infectious and Liver Diseases, Liver Research Center, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China

6. Department of Liver Diseases, the 960th Hospital of Chinese PLA Joint Logistics Support Force, Jinan, Shandong Province, China

7. Department of Infectious Disease, the First Affiliated Hospital of Zhengzhou, University, Zhengzhou, Henan Province, China

8. Department of Liver Disease, Fuyang 2nd People’s Hospital, Fuyang, Anhui Province, China

9. Fuzhou Infectious Diseases Hospital, Fuzhou, Fujian Province, China

10. Traditional Chinese Medicine Hospital of Chongqing, Chongqing, China

11. Department of Infectious Diseases, Southwest Hospital, Army Military Medical University, Chongqing, China

12. Guangzhou 8th People's Hospital, Guangzhou, Guangdong Province, China

13. Department of Hepatic Diseases, Shanghai Public Health Clinical Center, Shanghai, China

14. Tianjin Second People's Hospital, Tianjin Institute of Hepatology, Tianjin, China

15. National Integrative Medicine Clinical Base for Infectious Diseases and Department of Infectious Diseases, Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China

Abstract

Background and Aims: The predominantly progressive, indeterminate, and predominantly regressive (P-I-R) classification extends beyond staging and provides information on dynamic changes of liver fibrosis. However, the prognostic implication of P-I-R classification is not elucidated. Therefore, in the present research, we investigated the utility of P-I-R classification in predicting the on-treatment clinical outcomes. Approach and Results: In an extension study on a randomized controlled trial, we originally enrolled 1000 patients with chronic hepatitis B and biopsy-proven histological significant fibrosis, and treated them for more than 7 years with entecavir-based therapy. Among the 727 patients with a second biopsy at treatment week 72, we compared P-I-R classification and Ishak score changes in 646 patients with adequate liver sections for the histological evaluation. Progressive, indeterminate, and regressive cases were observed in 70%, 17%, and 13% of patients before treatments and 20%, 14%, and 64% after 72-week treatment, respectively, which could further differentiate the histological outcomes of patients with stable Ishak scores. The 7-year cumulative incidence of HCC was 1.5% for the regressive cases, 4.3% for the indeterminate cases, and 22.8% for the progressive cases (p<0.001). After adjusting for age, treatment regimen, platelet counts, cirrhosis, Ishak fibrosis score changes, and Laennec staging, the posttreatment progressive had a HR of 17.77 (vs. posttreatment regressive; 95% CI: 5.55–56.88) for the incidence of liver-related events (decompensation, HCC, and death/liver transplantation). Conclusions: The P-I-R classification can be a meaningful complement to the Ishak fibrosis score not only in evaluating the histological changes but also in predicting the clinical outcomes.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Hepatology

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