The impact of malaria coinfection on Ebola virus disease outcomes: A systematic review and meta-analysis.

The impact of malaria coinfection on Ebola virus disease outcomes: A systematic review and meta-analysis.
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DOI:
10.1371/journal.pone.0251101
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发表时间:
2021
期刊:
影响因子:
3.7
通讯作者:
Tibenderana JK
Tibenderana JK
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Edwards HM;Counihan H;Bonnington C;Achan J;Hamade P;Tibenderana JK

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病毒爆发在非洲国家构成了一个特别的挑战,因为在这些国家,其他传染病,包括疟疾的发病率已经很高,疟疾可以改变对二次感染的免疫反应。埃博拉病毒病(EVD)就是这样一个问题;了解疟原虫是如何传播的。与埃博拉病毒(EBOV)的相互作用对未来的爆发很重要。我们在PubMed和Web of Science中进行了一项系统性综述,以查找具有主要数据文献的同行评议论文,以确定1)EBOV/疟原虫属的患病率。共感染,2)EBOV/疟原虫属的作用。共感染对EVD病理学和免疫应答的影响,3)EBOV/疟原虫属的影响。合并感染对EVD相关死亡率的影响。使用R包Meta进行随机效应meta分析,以产生总体比例和效应估计值,并测量研究间异质性。在322篇同行评审论文中,17篇被纳入定性综述,9篇被纳入荟萃分析。合并感染的患病率为19%-72%。一项研究报告了合并感染病例的凝血反应生物标志物显著降低,但炎症标志物无差异。EBOV(+)/PI(+)和EBOV(+)/PI(-)病例的病死率相似(分别为62.8%,95% CI 49.3-74.6和56.7%,95% CI 53.2-60.1),尽管研究间异质性较高,但死亡风险无显著差异(RR 1.09,95% CI 0.90-1.31)。一项体内小鼠模型实验室研究发现,感染状态对死亡率没有影响,但另一项研究发现,既往急性约氏疟原虫感染通过IFN-γ信号通路对发病率和死亡率具有保护作用。文献是不确定的;研究差异很大,几乎没有尝试调整混杂变量。实验室研究可能是回答病原体如何在体内相互作用的最佳选择,但数据收集和分析以及诊断方法的改进将有助于未来的患者研究。
Viral outbreaks present a particular challenge in countries in Africa where there is already a high incidence of other infectious diseases, including malaria which can alter immune responses to secondary infection. Ebola virus disease (EVD) is one such problem; understanding how Plasmodium spp. and Ebolavirus (EBOV) interact is important for future outbreaks. We conducted a systematic review in PubMed and Web of Science to find peer-reviewed papers with primary data literature to determine 1) prevalence of EBOV/Plasmodium spp. coinfection, 2) effect of EBOV/Plasmodium spp. coinfection on EVD pathology and the immune response, 3) impact of EBOV/Plasmodium spp. coinfection on the outcome of EVD-related mortality. Random effects meta-analyses were conducted with the R package meta to produce overall proportion and effect estimates as well as measure between-study heterogeneity. From 322 peer-reviewed papers, 17 were included in the qualitative review and nine were included in a meta-analysis. Prevalence of coinfection was between 19% and 72%. One study reported significantly lower coagulatory response biomarkers in coinfected cases but no difference in inflammatory markers. Case fatality rates were similar between EBOV(+)/Pl(+) and EBOV(+)/Pl(-) cases (62.8%, 95% CI 49.3–74.6 and 56.7%, 95% CI 53.2–60.1, respectively), and there was no significant difference in risk of mortality (RR 1.09, 95% CI 0.90–1.31) although heterogeneity between studies was high. One in vivo mouse model laboratory study found no difference in mortality by infection status, but another found prior acute Plasmodium yoeli infection was protective against morbidity and mortality via the IFN-γ signalling pathway. The literature was inconclusive; studies varied widely and there was little attempt to adjust for confounding variables. Laboratory studies may present the best option to answer how pathogens interact within the body but improvement in data collection and analysis and in diagnostic methods would aid patient studies in the future.
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