Suppr超能文献

通过实时献血者抗体筛查估计 SARS-CoV-2 感染病死率。

Estimation of SARS-CoV-2 Infection Fatality Rate by Real-time Antibody Screening of Blood Donors.

机构信息

Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark.

Department of Clinical Medicine Aarhus University, Aarhus, Denmark.

出版信息

Clin Infect Dis. 2021 Jan 27;72(2):249-253. doi: 10.1093/cid/ciaa849.

Abstract

BACKGROUND

The pandemic due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has tremendous consequences for our societies. Knowledge of the seroprevalence of SARS-CoV-2 is needed to accurately monitor the spread of the epidemic and to calculate the infection fatality rate (IFR). These measures may help the authorities make informed decisions and adjust the current societal interventions. The objective was to perform nationwide real-time seroprevalence surveying among blood donors as a tool to estimate previous SARS-CoV-2 infections and the population-based IFR.

METHODS

Danish blood donors aged 17-69 years giving blood 6 April to 3 May were tested for SARS-CoV-2 immunoglobulin M and G antibodies using a commercial lateral flow test. Antibody status was compared between geographical areas, and an estimate of the IFR was calculated. Seroprevalence was adjusted for assay sensitivity and specificity taking the uncertainties of the test validation into account when reporting the 95% confidence intervals (CIs).

RESULTS

The first 20 640 blood donors were tested, and a combined adjusted seroprevalence of 1.9% (95% CI, .8-2.3) was calculated. The seroprevalence differed across areas. Using available data on fatalities and population numbers, a combined IFR in patients <70 years is estimated at 89 per 100 000 (95% CI, 72-211) infections.

CONCLUSIONS

The IFR was estimated to be slightly lower than previously reported from other countries not using seroprevalence data. The IFR is likely severalfold lower than the current estimate. We have initiated real-time nationwide anti-SARS-CoV-2 seroprevalence surveying of blood donations as a tool in monitoring the epidemic.

摘要

背景

由严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)引起的大流行对我们的社会造成了巨大影响。为了准确监测疫情的传播并计算感染病死率(IFR),我们需要了解 SARS-CoV-2 的血清流行率。这些措施可能有助于当局做出明智的决策,并调整当前的社会干预措施。本研究的目的是通过对献血者进行全国范围的实时血清流行率调查,作为估计以前 SARS-CoV-2 感染和基于人群的 IFR 的工具。

方法

4 月 6 日至 5 月 3 日,17-69 岁的丹麦献血者在献血时使用商业侧向流动试验检测 SARS-CoV-2 免疫球蛋白 M 和 G 抗体。比较了不同地理区域的抗体状况,并计算了 IFR 的估计值。在报告 95%置信区间(CI)时,考虑到测试验证的不确定性,对检测灵敏度和特异性进行了调整,以调整血清流行率。

结果

对前 20640 名献血者进行了检测,合并调整后的血清流行率为 1.9%(95%CI,0.8-2.3)。血清流行率在不同地区存在差异。利用现有关于死亡人数和人口数量的数据,估计<70 岁患者的合并 IFR 为每 100000 例感染 89 例(95%CI,72-211)。

结论

IFR 的估计值略低于其他未使用血清流行率数据的国家先前报告的结果。IFR 可能比当前估计值低几倍。我们已经启动了全国范围内实时抗 SARS-CoV-2 血清流行率调查,作为监测疫情的工具。

相似文献

引用本文的文献

3
Policies on children and schools during the SARS-CoV-2 pandemic in Western Europe.西欧 SARS-CoV-2 大流行期间的儿童和学校政策。
Front Public Health. 2023 Jul 25;11:1175444. doi: 10.3389/fpubh.2023.1175444. eCollection 2023.
9
Overview of SARS-COV-2 infection at the Butantan Penitentiary Progression Center.SARS-CoV-2 在布坦坦监狱进展中心的感染概述。
Rev Saude Publica. 2023 May 26;57(suppl 1):10s. doi: 10.11606/s1518-8787.2023057004717. eCollection 2023.

本文引用的文献

3
Likelihood of survival of coronavirus disease 2019.2019冠状病毒病的生存可能性。
Lancet Infect Dis. 2020 Jun;20(6):630-631. doi: 10.1016/S1473-3099(20)30257-7. Epub 2020 Mar 30.
8
Socio-demographic characteristics of Danish blood donors.丹麦献血者的社会人口学特征。
PLoS One. 2017 Feb 9;12(2):e0169112. doi: 10.1371/journal.pone.0169112. eCollection 2017.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验