Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK; Institute of Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Institute of Health Metrics and Evaluation, University of Washington, Seattle, WA, USA; Department of Health Metrics Sciences, University of Washington, Seattle, WA, USA.
Lancet Glob Health. 2023 Apr;11(4):e516-e524. doi: 10.1016/S2214-109X(23)00043-8.
To understand the current measles mortality burden, and to mitigate the future burden, it is crucial to have robust estimates of measles case fatalities. Estimates of measles case-fatality ratios (CFRs) that are specific to age, location, and time are essential to capture variations in underlying population-level factors, such as vaccination coverage and measles incidence, which contribute to increases or decreases in CFRs. In this study, we updated estimates of measles CFRs by expanding upon previous systematic reviews and implementing a meta-regression model. Our objective was to use all information available to estimate measles CFRs in low-income and middle-income countries (LMICs) by country, age, and year.
For this systematic review and meta-regression modelling study, we searched PubMed on Dec 31, 2020 for all available primary data published from Jan 1, 1980 to Dec 31, 2020, on measles cases and fatalities occurring up to Dec 31, 2019 in LMICs. We included studies that previous systematic reviews had included or which contained primary data on measles cases and deaths from hospital-based, community-based, or surveillance-based reports, including outbreak investigations. We excluded studies that were not in humans, or reported only data that were only non-primary, or on restricted populations (eg, people living with HIV), or on long-term measles mortality (eg, death from subacute sclerosing panencephalitis), and studies that did not include country-level data or relevant information on measles cases and deaths, or were for a high-income country. We extracted summary data on measles cases and measles deaths from studies that fitted our inclusion and exclusion criteria. Using these data and a suite of covariates related to measles CFRs, we implemented a Bayesian meta-regression model to produce estimates of measles CFRs from 1990 to 2019 by location and age group. This study was not registered with PROSPERO or otherwise.
We identified 2705 records, of which 208 sources contained information on both measles cases and measles deaths in LMICS and were included in the review. Between 1990 and 2019, CFRs substantially decreased in both community-based and hospital-based settings, with consistent patterns across age groups. For people aged 0-34 years, we estimated a mean CFR for 2019 of 1·32% (95% uncertainty interval [UI] 1·28-1·36) among community-based settings and 5·35% (5·08-5·64) among hospital-based settings. We estimated the 2019 CFR in community-based settings to be 3·03% (UI 2·89-3·16) for those younger than 1 year, 1·63% (1·58-1·68) for age 1-4 years, 0·84% (0·80-0·87) for age 5-9 years, and 0·67% (0·64-0·70) for age 10-14 years.
Although CFRs have declined between 1990 and 2019, there are still large heterogeneities across locations and ages. One limitation of this systematic review is that we were unable to assess measles CFR among particular populations, such as refugees and internally displaced people. Our updated methodological framework and estimates could be used to evaluate the effect of measles control and vaccination programmes on reducing the preventable measles mortality burden.
Bill & Melinda Gates Foundation; Gavi, the Vaccine Alliance; and the US National Institutes of Health.
为了了解当前麻疹死亡负担,并减轻未来的负担,准确估计麻疹病例病死率至关重要。特定于年龄、地点和时间的麻疹病例病死率(CFR)估计值对于捕捉人群水平因素(如疫苗接种覆盖率和麻疹发病率)的变化至关重要,这些因素会导致 CFR 增加或减少。在这项研究中,我们通过扩展以前的系统评价并实施荟萃回归模型来更新麻疹 CFR 的估计值。我们的目的是使用所有可用信息来估算低收入和中等收入国家(LMIC)的麻疹 CFR,具体到国家、年龄和年份。
对于这项系统评价和荟萃回归模型研究,我们于 2020 年 12 月 31 日在 PubMed 上进行了搜索,以获取自 1980 年 1 月 1 日至 2020 年 12 月 31 日期间发表的关于麻疹病例和死亡的所有可用原始数据,这些数据发生在 2019 年 12 月 31 日之前的 LMIC。我们纳入了以前的系统评价包括的研究或包含来自医院、社区或监测报告(包括暴发调查)的麻疹病例和死亡的原始数据的研究。我们排除了不是人类的研究,或仅报告非原始数据的研究,或仅针对特定人群(例如艾滋病毒感染者)的研究,或仅针对长期麻疹死亡率(例如亚急性硬化性全脑炎导致的死亡)的研究,以及不包括国家层面数据或麻疹病例和死亡相关信息的研究,或针对高收入国家的研究。我们从符合纳入和排除标准的研究中提取了麻疹病例和麻疹死亡的汇总数据。使用这些数据和一套与麻疹 CFR 相关的协变量,我们实施了贝叶斯荟萃回归模型,以根据位置和年龄组估算 1990 年至 2019 年的麻疹 CFR。这项研究未在 PROSPERO 或其他地方注册。
我们确定了 2705 条记录,其中 208 条来源包含了 LMIC 中麻疹病例和麻疹死亡的信息,并纳入了这项综述。在 1990 年至 2019 年期间,社区和医院环境中的 CFR 均大幅下降,各年龄组的模式一致。对于 0-34 岁的人群,我们估计 2019 年社区环境中的平均 CFR 为 1.32%(95%不确定区间 [UI] 1.28-1.36),医院环境中的 CFR 为 5.35%(5.08-5.64)。我们估计,在社区环境中,1 岁以下人群的 2019 年 CFR 为 3.03%(UI 2.89-3.16),1-4 岁年龄组为 1.63%(1.58-1.68),5-9 岁年龄组为 0.84%(0.80-0.87),10-14 岁年龄组为 0.67%(0.64-0.70)。
尽管 CFR 自 1990 年以来有所下降,但在地点和年龄方面仍存在很大的差异。本系统评价的一个局限性是我们无法评估特定人群(例如难民和境内流离失所者)中的麻疹 CFR。我们更新的方法框架和估计值可用于评估麻疹控制和疫苗接种计划对减少可预防麻疹死亡负担的影响。
比尔和梅琳达·盖茨基金会;全球疫苗免疫联盟;以及美国国立卫生研究院。