Ερευνητικό υλικό ΕΚΠΑ

Global prevalence and genotype distribution of hepatitis C virus infection in 2015: A modelling study

Αγγλικά

Background The 69th World Health Assembly approved the Global Health Sector Strategy to eliminate hepatitis C virus (HCV) infection by 2030, which can become a reality with the recent launch of direct acting antiviral therapies. Reliable disease burden estimates are required for national strategies. This analysis estimates the global prevalence of viraemic HCV at the end of 2015, an update of—and expansion on—the 2014 analysis, which reported 80 million (95% CI 64–103) viraemic infections in 2013. Methods We developed country-level disease burden models following a systematic review of HCV prevalence (number of studies, n=6754) and genotype (n=11 342) studies published after 2013. A Delphi process was used to gain country expert consensus and validate inputs. Published estimates alone were used for countries where expert panel meetings could not be scheduled. Global prevalence was estimated using regional averages for countries without data. Findings Models were built for 100 countries, 59 of which were approved by country experts, with the remaining 41 estimated using published data alone. The remaining countries had insufficient data to create a model. The global prevalence of viraemic HCV is estimated to be 1·0% (95% uncertainty interval 0·8–1·1) in 2015, corresponding to 71·1 million (62·5–79·4) viraemic infections. Genotypes 1 and 3 were the most common cause of infections (44% and 25%, respectively). Interpretation The global estimate of viraemic infections is lower than previous estimates, largely due to more recent (lower) prevalence estimates in Africa. Additionally, increased mortality due to liver-related causes and an ageing population may have contributed to a reduction in infections. Funding John C Martin Foundation. © 2017 Elsevier Ltd

2017

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The Polaris Observatory HCV Collaborators

The Lancet Gastroenterology and Hepatology

Elsevier Ireland Ltd

2

3

161-176

virus RNA, Africa; aging; Article; Delphi study; disease model; genotype; geographic distribution; hepatitis C; Hepatitis C virus genotype 1; Hepatitis C virus genotype 3; Hepatitis C virus genotype 4; high income country; human; low income country; middle income country; mortality; nonhuman; prevalence; priority journal; viremia; virus load; chronic hepatitis C; cost of illness; disease eradication; genetics; global health; prevalence; statistics and numerical data; viremia, Cost of Illness; Delphi Technique; Disease Eradication; Genotype; Global Health; Hepatitis C, Chronic; Humans; Prevalence; Viremia

https://doi.org/10.1016/S2468-1253(16)30181-9

10.1016/S2468-1253(16)30181-9

https://pergamos.lib.uoa.gr/uoa/dl/object/3108884