Suppr超能文献

奥地利第二次疫情期间全国性有针对性的即时检测症状侧向流动检测对 COVID-19 感染、住院和死亡趋势的影响(REAP3)。

Impact of national-scale targeted point-of-care symptomatic lateral flow testing on trends in COVID-19 infections, hospitalisations and deaths during the second epidemic wave in Austria (REAP3).

机构信息

Institute for Advanced Studies, Vienna, Austria.

London School of Economics and Political Science, London, UK.

出版信息

BMC Public Health. 2023 Mar 16;23(1):506. doi: 10.1186/s12889-023-15364-w.

Abstract

BACKGROUND

In October 2020, amidst the second COVID-19 epidemic wave and before the second-national lockdown, Austria introduced a policy of population-wide point-of-care lateral flow antigen testing (POC-LFT). This study explores the impact of this policy by quantifying the association between trends in POC-LFT-activity with trends in PCR-positivity (as a proxy for symptomatic infection), hospitalisations and deaths related to COVID-19 between October 22 and December 06, 2020.

METHODS

We stratified 94 Austrian districts according to POC-LFT-activity (number of POC-LFTs performed per 100,000 inhabitants over the study period), into three population cohorts: (i) high(N = 24), (ii) medium(N = 45) and (iii) low(N = 25). Across the cohorts we a) compared trends in POC-LFT-activity with PCR-positivity, hospital admissions and deaths related to COVD-19; b) compared the epidemic growth rate before and after the epidemic peak; and c) calculated the Pearson correlation coefficients between PCR-positivity with COVID-19 hospitalisations and with COVID -19 related deaths.

RESULTS

The trend in POC-LFT activity was similar to PCR-positivity and hospitalisations trends across high, medium and low POC-LFT activity cohorts, with association with deaths only present in cohorts with high POC-LFT activity. Compared to the low POC-LFT-activity cohort, the high-activity cohort had steeper pre-peak daily increase in PCR-positivity (2.24 more cases per day, per district and per 100,000 inhabitants; 95% CI: 2.0-2.7; p < 0.001) and hospitalisations (0.10; 95% CI: 0.02, 0.18; p = 0.014), and 6 days earlier peak of PCR-positivity. The high-activity cohort also had steeper daily reduction in the post-peak trend in PCR-positivity (-3.6; 95% CI: -4.8, -2.3; p < 0.001) and hospitalisations (-0.2; 95% CI: -0.32, -0.08; p = 0.001). PCR-positivity was positively correlated to both hospitalisations and deaths, but with lags of 6 and 14 days respectively.

CONCLUSIONS

High POC-LFT-use was associated with increased and earlier case finding during the second Austrian COVID-19 epidemic wave, and early and significant reduction in cases and hospitalisations during the second national lockdown. A national policy promoting symptomatic POC-LFT in primary care, can capture trends in PCR-positivity and hospitalisations. Symptomatic POC-LFT delivered at scale and combined with immediate self-quarantining and contact tracing can thus be a proxy for epidemic status, and hence a useful tool that can replace large-scale PCR testing.

摘要

背景

2020 年 10 月,正值第二波 COVID-19 疫情期间,在第二次全国封锁之前,奥地利推出了一项全民即时检测点侧向流动抗原检测(POC-LFT)政策。本研究通过量化 POC-LFT 活跃度与 PCR 阳性率(作为症状感染的替代指标)、住院和 COVID-19 相关死亡之间的趋势之间的关联,来探讨该政策的影响。

方法

我们根据 POC-LFT 活跃度(研究期间每 10 万居民进行的 POC-LFT 次数)将 94 个奥地利区分为三个人群队列:(i)高(N=24),(ii)中(N=45)和(iii)低(N=25)。在各个队列中,我们 a)比较了 POC-LFT 活跃度与 PCR 阳性率、住院和 COVID-19 相关死亡之间的趋势;b)比较了疫情高峰前后的疫情增长率;c)计算了 PCR 阳性率与 COVID-19 住院和 COVID-19 相关死亡之间的 Pearson 相关系数。

结果

POC-LFT 活性趋势与高、中、低 POC-LFT 活性队列中的 PCR 阳性率和住院率趋势相似,仅在 POC-LFT 活性高的队列中与死亡率相关。与低 POC-LFT 活性队列相比,高 POC-LFT 活性队列的 PCR 阳性率在疫情高峰前的每日增长更为陡峭(每个区每 10 万居民每天增加 2.24 例;95%CI:2.0-2.7;p<0.001)和住院率(0.10;95%CI:0.02,0.18;p=0.014),PCR 阳性率的高峰提前了 6 天。高 POC-LFT 活性队列在疫情高峰后的 PCR 阳性率和住院率下降趋势也更为陡峭(-3.6;95%CI:-4.8,-2.3;p<0.001)和住院率(-0.2;95%CI:-0.32,-0.08;p=0.001)。PCR 阳性率与住院和死亡均呈正相关,但存在 6 天和 14 天的滞后。

结论

高 POC-LFT 使用与奥地利第二波 COVID-19 疫情期间的病例发现增加和提前有关,以及第二次全国封锁期间的病例和住院人数的早期和显著减少。在初级保健中推广有症状的 POC-LFT 的国家政策可以捕捉到 PCR 阳性率和住院率的趋势。大规模实施有症状的 POC-LFT,并结合立即自我隔离和接触者追踪,可以作为疫情状况的代表,因此是一种有用的工具,可以替代大规模的 PCR 检测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e8a/10018822/d93045382cb8/12889_2023_15364_Fig1_HTML.jpg

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