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Hepatitis B and C mortality from 1990 to 2019 in China: a Bayesian age-period-cohort analysis

BACKGROUND: Significant decreases in hepatitis B virus (HBV) and hepatitis C virus (HCV) infections have been observed in China, but both remain leading public health challenges. Estimating the components and trends in HBV and HCV mortality is vital for disease control planning. The current analysis...

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Autores principales: Yan, Mengxia, Wu, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843375/
https://www.ncbi.nlm.nih.gov/pubmed/36660613
http://dx.doi.org/10.21037/atm-22-5676
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author Yan, Mengxia
Wu, Bin
author_facet Yan, Mengxia
Wu, Bin
author_sort Yan, Mengxia
collection PubMed
description BACKGROUND: Significant decreases in hepatitis B virus (HBV) and hepatitis C virus (HCV) infections have been observed in China, but both remain leading public health challenges. Estimating the components and trends in HBV and HCV mortality is vital for disease control planning. The current analysis investigated time trends in hepatitis B and C mortality and the relationships with age, period, and birth cohort from 1990 to 2019. We also made projections for 2030–2034 in China. METHODS: Mortality data related to hepatitis B and C were obtained from the Global Burden of Disease (GBD) study, which was stratified by complications, age, sex, and specific geographical locations. An age-period-cohort (APC) analytical framework was adopted to measure age, period, and cohort effects, which fits a log-linear Poisson model over a Lexis diagram of observed rates and quantifies the additive effects of age, period, and birth cohorts. We estimated longitudinal age curves (expected longitudinal age-specific rates), net drift (overall annual percentage change), local drift (annual percentage change in each age group), period, and cohort relative risks. A Bayesian APC analysis was used to project future age-specific hepatitis B and C deaths. RESULTS: In China, the age-standardized mortality rate (ASMR) of hepatitis B and C decreased by 67% and 58% from 1990 to 2019, respectively. The overall annual percentage changes in hepatitis B and C were −4.97% and −6.49% for males and −3.85% and −6.09% for females, respectively. After adjusting for period and cohort effects, we observed an exponential increase in hepatitis C mortality with age, with the Bell-like curves peaking at approximately 50 years old for hepatitis B. The Bayesian APC analysis projected that hepatitis B and C deaths would decrease dramatically by 42% and 22% for the periods 2016–2019 and 2030–2034, respectively. The declines in ASMRs related to hepatitis B and C were associated with the improvements in the Chinese Socio-Demographic Index. CONCLUSIONS: Although the burden of hepatitis B and C mortality is likely to continue declining in China, the hepatitis B and C mortality was still high. Therefore, the national efforts should still be strengthened to achieve the global hepatitis elimination targets.
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spelling pubmed-98433752023-01-18 Hepatitis B and C mortality from 1990 to 2019 in China: a Bayesian age-period-cohort analysis Yan, Mengxia Wu, Bin Ann Transl Med Original Article BACKGROUND: Significant decreases in hepatitis B virus (HBV) and hepatitis C virus (HCV) infections have been observed in China, but both remain leading public health challenges. Estimating the components and trends in HBV and HCV mortality is vital for disease control planning. The current analysis investigated time trends in hepatitis B and C mortality and the relationships with age, period, and birth cohort from 1990 to 2019. We also made projections for 2030–2034 in China. METHODS: Mortality data related to hepatitis B and C were obtained from the Global Burden of Disease (GBD) study, which was stratified by complications, age, sex, and specific geographical locations. An age-period-cohort (APC) analytical framework was adopted to measure age, period, and cohort effects, which fits a log-linear Poisson model over a Lexis diagram of observed rates and quantifies the additive effects of age, period, and birth cohorts. We estimated longitudinal age curves (expected longitudinal age-specific rates), net drift (overall annual percentage change), local drift (annual percentage change in each age group), period, and cohort relative risks. A Bayesian APC analysis was used to project future age-specific hepatitis B and C deaths. RESULTS: In China, the age-standardized mortality rate (ASMR) of hepatitis B and C decreased by 67% and 58% from 1990 to 2019, respectively. The overall annual percentage changes in hepatitis B and C were −4.97% and −6.49% for males and −3.85% and −6.09% for females, respectively. After adjusting for period and cohort effects, we observed an exponential increase in hepatitis C mortality with age, with the Bell-like curves peaking at approximately 50 years old for hepatitis B. The Bayesian APC analysis projected that hepatitis B and C deaths would decrease dramatically by 42% and 22% for the periods 2016–2019 and 2030–2034, respectively. The declines in ASMRs related to hepatitis B and C were associated with the improvements in the Chinese Socio-Demographic Index. CONCLUSIONS: Although the burden of hepatitis B and C mortality is likely to continue declining in China, the hepatitis B and C mortality was still high. Therefore, the national efforts should still be strengthened to achieve the global hepatitis elimination targets. AME Publishing Company 2022-12 /pmc/articles/PMC9843375/ /pubmed/36660613 http://dx.doi.org/10.21037/atm-22-5676 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Yan, Mengxia
Wu, Bin
Hepatitis B and C mortality from 1990 to 2019 in China: a Bayesian age-period-cohort analysis
title Hepatitis B and C mortality from 1990 to 2019 in China: a Bayesian age-period-cohort analysis
title_full Hepatitis B and C mortality from 1990 to 2019 in China: a Bayesian age-period-cohort analysis
title_fullStr Hepatitis B and C mortality from 1990 to 2019 in China: a Bayesian age-period-cohort analysis
title_full_unstemmed Hepatitis B and C mortality from 1990 to 2019 in China: a Bayesian age-period-cohort analysis
title_short Hepatitis B and C mortality from 1990 to 2019 in China: a Bayesian age-period-cohort analysis
title_sort hepatitis b and c mortality from 1990 to 2019 in china: a bayesian age-period-cohort analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843375/
https://www.ncbi.nlm.nih.gov/pubmed/36660613
http://dx.doi.org/10.21037/atm-22-5676
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