Literature DB >> 33940114

Elimination of Hepatitis C Virus in a Dialysis Population: A Collaborative Care Model in Taiwan.

Tsung-Hui Hu1, Wei-Wen Su2, Chi-Chieh Yang3, Chih-Chao Yang4, W-Hsien Kuo5, Yang-Yuan Chen6, Yung-Hsiang Yeh7, Shiou-Shiang Chen8, Yu-Yu Tsao8, Kwei-Ming Chen3, Sheng-Lei Yan7, Jun-Hung Lai9, Chih-Da Yao10, Cherng-Harng Lim10, Hsiao Hsuan Jen11, Yen-Po Yeh12, Sam Li-Sheng Chen13, Hsiu-Hsi Chen11, Shih-Chung Chen14.   

Abstract

RATIONALE &
OBJECTIVE: Hemodialysis facilities are high-risk environments for hepatitis C virus (HCV). Eliminating HCV from all dialysis facilities in a community may be achieved more effectively under a collaborative care model. STUDY
DESIGN: Quality improvement study of multidisciplinary collaborative care teams including nephrologists, gastroenterologists and public health practitioners. SETTING & PARTICIPANTS: All dialysis patients in the Changhua county of Taiwan were treated using an inter-disciplinary collaborative care model implemented within a broader Changhua-Integrated Program to Stop HCV Infection (CHIPS-C). QUALITY IMPROVEMENT ACTIVITIES: Provision of an HCV care cascade to fill three gaps including screening and testing, diagnosis, and universal direct-acting antiviral (DAA) treatment implemented by collaborating teams of dialysis practitioners and gastroenterologists working under auspices of Changhua Public Health Bureau. OUTCOMES: Outcome measures included quality indicators pertaining to six steps in HCV care ranging from HCV screening to complete treatment and cure from treatment with DAA ANALYTICAL APPROACH: A descriptive analysis.
RESULTS: A total of 3657 patients from 31 dialysis facilities were enrolled. All patients completed HCV screening. The DAA treatment initiation rate and completion rate were 88.9% and 94.0%, respectively. The collaborative care model achieved a cure rate of 96.0% (166/173). No virologic failure occurred. The cumulative treatment ratios for patients with chronic HCV infection increased from 5.3% before interferon-based therapy (2017) to 25.6% after restricted provision of DAA (2017-2018) and then to 89.1% after universal access to DAA (2019). LIMITATIONS: Unclear impact of this collaborative care program on incident dialysis patients entering dialysis facilities each year and on patients with earlier stages of chronic kidney disease.
CONCLUSIONS: A collaborative care model in Taiwan increased the rates of diagnosis and treatment for HCV in dialysis facilities to levels near those established by the World Health Organization.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Keywords:  Hepatitis C; collaborative care; dialysis; direct-acting antivirals; elimination; end stage renal disease

Year:  2021        PMID: 33940114     DOI: 10.1053/j.ajkd.2021.03.017

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN: 0272-6386            Impact factor:   8.860


  4 in total

1.  Hepatitis C Prevalence, Incidence, and Treatment in Chinese Hemodialysis Patients: Results From the Dialysis Outcomes and Practice Patterns Study-China (2019-21).

Authors:  Liangying Gan; Dongyu Wang; Brian Bieber; Keith McCullough; Michel Jadoul; Ronald L Pisoni; Fanfan Hou; Xinling Liang; Zhaohui Ni; Xiaonong Chen; Yuqing Chen; Li Zuo
Journal:  Front Med (Lausanne)       Date:  2022-06-15

Review 2.  Pan-genotypic direct-acting antivirals for patients with hepatitis C virus infection and chronic kidney disease stage 4 or 5.

Authors:  Chen-Hua Liu; Jia-Horng Kao
Journal:  Hepatol Int       Date:  2022-07-25       Impact factor: 9.029

Review 3.  Hepatitis C Virus Glycan-Dependent Interactions and the Potential for Novel Preventative Strategies.

Authors:  Emmanuelle V LeBlanc; Youjin Kim; Chantelle J Capicciotti; Che C Colpitts
Journal:  Pathogens       Date:  2021-06-01

4.  Micro-Elimination of Hepatitis C among Patients with Kidney Disease by Using Electronic Reminder System-A Hospital-Based Experience.

Authors:  Pei-Yuan Su; Wei-Wen Su; Yu-Chun Hsu; Shu-Yi Wang; Ping-Fang Chiu; Hsu-Heng Yen
Journal:  J Clin Med       Date:  2022-01-14       Impact factor: 4.241

  4 in total

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