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注射吸毒者中丙型肝炎病毒(HCV)感染发病率以及每年因注射吸毒导致的新增HCV感染病例数的全球、区域和国家估计:一项多阶段分析

Global, regional, and national estimates of hepatitis C virus (HCV) infection incidence among people who inject drugs and number of new annual HCV infections attributable to injecting drug use: a multi-stage analysis.

作者信息

Artenie Adelina, Trickey Adam, Looker Katharine J, Stone Jack, Lim Aaron G, Fraser Hannah, Degenhardt Louisa, Dore Gregory J, Grebely Jason, Cunningham Evan B, Hazarizadeh Behzad, Low-Beer Daniel, Luhmann Niklas, Webb Paige, Hickman Matthew, Vickerman Peter

机构信息

Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

出版信息

Lancet Gastroenterol Hepatol. 2025 Apr;10(4):315-331. doi: 10.1016/S2468-1253(24)00442-4. Epub 2025 Feb 21.

Abstract

BACKGROUND

Measuring progress towards the WHO 2030 target for hepatitis C virus (HCV) elimination among people who inject drugs (PWID)-an incidence of two or fewer infections per 100 person-years-has been challenging due to insufficient data. We aimed to estimate HCV incidence among PWID before and since 2015, progress towards the 2030 target, and the number of new annual HCV infections attributable to injecting drug use since 2015.

METHODS

Four sequential steps were taken to estimate country-specific HCV incidence. First, we estimated HCV incidence from HCV antibody prevalence by duration of injecting using force-of-infection (FOI) modelling. Second, using Bayesian random-effects meta-analysis, we pooled FOI-derived estimates with any direct HCV incidence estimates from a published global meta-analysis, by country. Third, for countries with no FOI-derived or direct HCV incidence data, we applied incidence estimates from a published multi-country dynamic mathematical model. Fourth, for countries for which incidence could not be estimated using any of the aforementioned methods but that had data on overall HCV antibody prevalence (ie, not stratified by duration of injecting), we used a regression model to predict incidence based on prevalence and average duration of injecting. WHO regional and global HCV incidence, incidence rate ratios (IRRs) for 2015-21 versus pre-2015, and relative decline needed to achieve the 2030 WHO target were derived and weighted by the country-specific number of PWID at risk (ie, those who were HCV RNA-negative), provided that data from at least five countries were available within a WHO region. New annual HCV infections attributable to injecting drug use were estimated by multiplying country-specific HCV incidence for the 2015-21 period by the number of HCV RNA-negative PWID; for countries with no HCV incidence data but with evidence of an existing PWID population, incidence was imputed using the corresponding WHO regional incidence.

FINDINGS

For the pre-2015 period, 146 HCV incidence estimates from 81 countries were included: 52 (36%) direct, 61 (42%) FOI-derived, and 33 (23%) regression-based estimates. For 2015-21, 114 estimates from 97 countries were included: 20 (18%) direct, 18 (16%) FOI-derived, 68 (60%) dynamic model-derived, and eight (7%) regression-based. Globally, pooled HCV incidence was 13·9 per 100 person-years (95% uncertainty interval [UI] 11·9-16·4) for pre-2015 and 8·6 per 100 person-years (7·1-10·7) for 2015-21. Based on a subset of countries with data for both periods, incidence was lower in the Western Pacific (IRR 0·32 [95% UI 0·23-0·50]), Eastern Mediterranean (0·67 [0·50-0·89]), and European (0·79 [0·63-1·02]) regions in 2015-21 versus pre-2015, but no difference was observed in the Americas. Insufficient data prevented comparisons over time for the African and South-East Asia regions and globally. Based on 2015-21 HCV incidence, the global decline needed to meet the 2030 WHO target is 76·7% (95% UI 71·8-81·3), while the global number of new annual HCV infections attributable to injecting drug use was 833 760 (95% UI 493 716-1 544 395) among the 187 countries with documented evidence of a population of PWID.

INTERPRETATION

A substantial increase in HCV treatment and prevention is needed globally to achieve the WHO 2030 HCV elimination target for incidence among PWID.

FUNDING

WHO and the Wellcome Trust.

摘要

背景

由于数据不足,衡量在注射毒品者(PWID)中实现世界卫生组织(WHO)2030年丙型肝炎病毒(HCV)消除目标(每100人年感染率为2例或更少)的进展情况具有挑战性。我们旨在估计2015年之前和之后PWID中的HCV发病率、实现2030年目标的进展情况,以及自2015年以来每年因注射毒品导致的新HCV感染数量。

方法

采取了四个连续步骤来估计特定国家的HCV发病率。首先,我们使用感染力(FOI)模型,根据注射持续时间从HCV抗体流行率估计HCV发病率。其次,通过贝叶斯随机效应荟萃分析,我们将来自FOI的估计值与已发表的全球荟萃分析中按国家分类的任何直接HCV发病率估计值合并。第三,对于没有来自FOI或直接HCV发病率数据的国家,我们应用已发表的多国动态数学模型的发病率估计值。第四,对于那些无法使用上述任何方法估计发病率,但有总体HCV抗体流行率数据(即未按注射持续时间分层)的国家,我们使用回归模型根据流行率和平均注射持续时间预测发病率。得出WHO区域和全球HCV发病率、2015 - 2021年与2015年之前的发病率比值(IRR),以及实现2030年WHO目标所需的相对下降率,并按特定国家处于风险中的PWID数量(即HCV RNA阴性者)加权,前提是WHO区域内至少有五个国家的数据可用。通过将2015 - 202期间特定国家的HCV发病率乘以HCV RNA阴性PWID的数量来估计每年因注射毒品导致的新HCV感染数量;对于没有HCV发病率数据但有PWID人群存在证据的国家,使用相应的WHO区域发病率进行估算。

结果

对于2015年之前的时期,纳入了来自81个国家的146个HCV发病率估计值:52个(36%)为直接估计值,61个(42%)为基于FOI的估计值,33个(23%)为基于回归的估计值。对于2015 - 2021年,纳入了来自97个国家的114个估计值:20个(18%)为直接估计值,18个(16%)为基于FOI的估计值,68个(60%)为基于动态模型的估计值,8个(7%)为基于回归的估计值。在全球范围内,2015年之前合并的HCV发病率为每100人年13.9例(95%不确定区间[UI] 11.9 - 16.4),2015 - 2021年为每100人年8.6例(7.1 - 10.7)。基于有两个时期数据的部分国家,2015 - 2021年西太平洋区域(IRR 0.32 [95% UI 0.23 - 0.50])、东地中海区域(0.67 [0.50 - 0.89])和欧洲区域(0.79 [0.63 - 1.02])的发病率低于2015年之前,但美洲区域未观察到差异。数据不足阻碍了对非洲和东南亚区域以及全球随时间变化的比较。基于2015 - 2021年的HCV发病率,实现2030年WHO目标所需的全球下降率为76.7%(95% UI 71.8 - 81.3),而在有记录证明存在PWID人群的187个国家中,每年因注射毒品导致的新HCV感染全球数量为833760例(95% UI 493716 - 1544395)。

解读

为实现WHO在PWID中2030年HCV消除发病率目标,全球需要大幅增加HCV治疗和预防措施。

资金来源

WHO和惠康信托基金会。

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