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The burden of HEV-related acute liver failure in Bangladesh, China and India: a systematic review and meta-analysis

BACKGROUND: Hepatitis E can potentially progress to HEV-related acute liver failure (HEV-ALF). East and South Asia bear a substantial burden of HEV infection, with Bangladesh, China, and India facing the most severe threat in this region. Therefore, we conducted a systematic review and meta-analysis...

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Autores principales: Dong, Rui, Chang, Dongchun, Luo, Zhenghan, Zhang, Mengting, Guan, Qing, Shen, Chao, Chen, Yue, Huang, Peng, Wang, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10688087/
https://www.ncbi.nlm.nih.gov/pubmed/38031080
http://dx.doi.org/10.1186/s12889-023-17302-2
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author Dong, Rui
Chang, Dongchun
Luo, Zhenghan
Zhang, Mengting
Guan, Qing
Shen, Chao
Chen, Yue
Huang, Peng
Wang, Jie
author_facet Dong, Rui
Chang, Dongchun
Luo, Zhenghan
Zhang, Mengting
Guan, Qing
Shen, Chao
Chen, Yue
Huang, Peng
Wang, Jie
author_sort Dong, Rui
collection PubMed
description BACKGROUND: Hepatitis E can potentially progress to HEV-related acute liver failure (HEV-ALF). East and South Asia bear a substantial burden of HEV infection, with Bangladesh, China, and India facing the most severe threat in this region. Therefore, we conducted a systematic review and meta-analysis to evaluate the burden of HEV-ALF in these three high-risk countries. METHODS: A systematic literature search was performed utilizing PubMed, the Cochrane Library, Medline, Embase, and Web of Science databases. Studies in English or Chinese that reported data on the burden of HEV-ALF in Bangladesh, China and India were included. Outcomes were pooled with meta-analysis utilizing R software. Estimates were calculated with random-effects models, and subgroup analysis and sensitivity analysis were conducted to address heterogeneity. Egger’s test and Begg’s test were performed to assess publication bias. RESULTS: A total of 20 eligible studies were included in this study. The pooled HEV-attributable proportion of viral-related acute liver failure was estimated to be 40.0% (95% CI: 0.28–0.52), 30.0% (95% CI: 0.18–0.44), and 61.0% (95% CI: 0.49–0.72) among non-pregnant individuals in India, China and Bangladesh, while in Indian pregnant females, it was 71.0% (95% CI: 0.62–0.79). The combined prevalence among non-pregnant HEV-infected participants was 28.0% (95% CI: 0.20–0.37) and 10.0% (95% CI: 0.01–0.28) in India and China, and it was 34.0% (95% CI: 0.27–0.42) in Indian pregnant females with HEV infection. The overall mortality of HEV-ALF was estimated to be 32.0% (95% CI: 0.23–0.42) and 64.0% (95% CI: 0.50–0.77) among the non-pregnant and the pregnant participants in India, and it was 23.0% (95% CI: 0.14–0.34) in Chinese non-pregnant participants. CONCLUSIONS: The burden of HEV-ALF in Bangladesh, China, and India is non-negligible despite geographic and population heterogeneity. The prevention of HEV infection and early recognition of HEV-ALF are of great significance, especially in high-risk countries and populations. REGISTRATION: PROSPERO registration ID is CRD42022382101. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-17302-2.
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spelling pubmed-106880872023-11-30 The burden of HEV-related acute liver failure in Bangladesh, China and India: a systematic review and meta-analysis Dong, Rui Chang, Dongchun Luo, Zhenghan Zhang, Mengting Guan, Qing Shen, Chao Chen, Yue Huang, Peng Wang, Jie BMC Public Health Research BACKGROUND: Hepatitis E can potentially progress to HEV-related acute liver failure (HEV-ALF). East and South Asia bear a substantial burden of HEV infection, with Bangladesh, China, and India facing the most severe threat in this region. Therefore, we conducted a systematic review and meta-analysis to evaluate the burden of HEV-ALF in these three high-risk countries. METHODS: A systematic literature search was performed utilizing PubMed, the Cochrane Library, Medline, Embase, and Web of Science databases. Studies in English or Chinese that reported data on the burden of HEV-ALF in Bangladesh, China and India were included. Outcomes were pooled with meta-analysis utilizing R software. Estimates were calculated with random-effects models, and subgroup analysis and sensitivity analysis were conducted to address heterogeneity. Egger’s test and Begg’s test were performed to assess publication bias. RESULTS: A total of 20 eligible studies were included in this study. The pooled HEV-attributable proportion of viral-related acute liver failure was estimated to be 40.0% (95% CI: 0.28–0.52), 30.0% (95% CI: 0.18–0.44), and 61.0% (95% CI: 0.49–0.72) among non-pregnant individuals in India, China and Bangladesh, while in Indian pregnant females, it was 71.0% (95% CI: 0.62–0.79). The combined prevalence among non-pregnant HEV-infected participants was 28.0% (95% CI: 0.20–0.37) and 10.0% (95% CI: 0.01–0.28) in India and China, and it was 34.0% (95% CI: 0.27–0.42) in Indian pregnant females with HEV infection. The overall mortality of HEV-ALF was estimated to be 32.0% (95% CI: 0.23–0.42) and 64.0% (95% CI: 0.50–0.77) among the non-pregnant and the pregnant participants in India, and it was 23.0% (95% CI: 0.14–0.34) in Chinese non-pregnant participants. CONCLUSIONS: The burden of HEV-ALF in Bangladesh, China, and India is non-negligible despite geographic and population heterogeneity. The prevention of HEV infection and early recognition of HEV-ALF are of great significance, especially in high-risk countries and populations. REGISTRATION: PROSPERO registration ID is CRD42022382101. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-17302-2. BioMed Central 2023-11-29 /pmc/articles/PMC10688087/ /pubmed/38031080 http://dx.doi.org/10.1186/s12889-023-17302-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Dong, Rui
Chang, Dongchun
Luo, Zhenghan
Zhang, Mengting
Guan, Qing
Shen, Chao
Chen, Yue
Huang, Peng
Wang, Jie
The burden of HEV-related acute liver failure in Bangladesh, China and India: a systematic review and meta-analysis
title The burden of HEV-related acute liver failure in Bangladesh, China and India: a systematic review and meta-analysis
title_full The burden of HEV-related acute liver failure in Bangladesh, China and India: a systematic review and meta-analysis
title_fullStr The burden of HEV-related acute liver failure in Bangladesh, China and India: a systematic review and meta-analysis
title_full_unstemmed The burden of HEV-related acute liver failure in Bangladesh, China and India: a systematic review and meta-analysis
title_short The burden of HEV-related acute liver failure in Bangladesh, China and India: a systematic review and meta-analysis
title_sort burden of hev-related acute liver failure in bangladesh, china and india: a systematic review and meta-analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10688087/
https://www.ncbi.nlm.nih.gov/pubmed/38031080
http://dx.doi.org/10.1186/s12889-023-17302-2
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