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2020 年 3 月至 11 月加拿大安大略省长期护理院居民中延迟暴发识别与 SARS-CoV-2 感染和死亡的关联:一项队列研究。

Association between delayed outbreak identification and SARS-CoV-2 infection and mortality among long-term care home residents, Ontario, Canada, March to November 2020: a cohort study.

机构信息

Public Health Ontario, Toronto, Canada.

Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.

出版信息

Euro Surveill. 2024 Oct;29(41). doi: 10.2807/1560-7917.ES.2024.29.41.2300719.

Abstract

BackgroundLate outbreak identification is a common risk factor mentioned in case reports of large respiratory infection outbreaks in long-term care (LTC) homes.AimTo systematically measure the association between late SARS-CoV-2 outbreak identification and secondary SARS-CoV-2 infection and mortality in residents of LTC homes.MethodsWe studied SARS-CoV-2 outbreaks across LTC homes in Ontario, Canada from March to November 2020, before the COVID-19 vaccine rollout. Our exposure (late outbreak identification) was based on cumulative infection pressure (the number of infectious resident-days) on the outbreak identification date (early: ≤ 2 infectious resident-days, late: ≥ 3 infectious resident-days), where the infectious window was -2 to +8 days around onset. Our outcome consisted of 30-day incidence of secondary infection and mortality, based on the proportion of at-risk residents with a laboratory-confirmed SARS-CoV-2 infection with onset within 30 days of the outbreak identification date.ResultsWe identified 632 SARS-CoV-2 outbreaks across 623 LTC homes. Of these, 36.4% (230/632) outbreaks were identified late. Outbreaks identified late had more secondary infections (10.3%; 4,437/42,953) and higher mortality (3.2%; 1,374/42,953) compared with outbreaks identified early (infections: 3.3%; 2,015/61,714; p < 0.001, mortality: 0.9%; 579/61,714; p < 0.001). After adjustment for 12 LTC home covariates, the incidence of secondary infections in outbreaks identified late was 2.90-fold larger than that of outbreaks identified early (OR: 2.90; 95% CI: 2.04-4.13).ConclusionsThe timeliness of outbreak identification could be used to predict the trajectory of an outbreak, plan outbreak measures and retrospectively provide feedback for quality improvement, with the objective of reducing the impacts of respiratory infections in LTC home residents.

摘要

背景

在长期护理(LTC)机构中,大型呼吸道感染暴发的病例报告中常提到迟发暴发识别这一常见风险因素。

目的

系统测量 LTC 居民中迟发 SARS-CoV-2 暴发识别与继发 SARS-CoV-2 感染和死亡之间的关联。

方法

我们研究了加拿大安大略省 2020 年 3 月至 11 月 COVID-19 疫苗接种前 LTC 机构中的 SARS-CoV-2 暴发。我们的暴露(迟发暴发识别)基于暴发识别日期的累积感染压力(感染居民日数)(早:≤2 个感染居民日,晚:≥3 个感染居民日),感染窗口为发病前-2 天至+8 天。我们的结局是根据在暴发识别日期后 30 天内发病的风险居民中实验室确诊的 SARS-CoV-2 感染比例,计算继发感染和死亡率。

结果

我们在 623 家 LTC 机构中识别出 632 起 SARS-CoV-2 暴发。其中,36.4%(230/632)暴发为迟发暴发。与早发暴发相比,迟发暴发有更多的继发感染(10.3%;4437/42953)和更高的死亡率(3.2%;1374/42953)(感染:3.3%;2015/61714;p<0.001,死亡率:0.9%;579/61714;p<0.001)。调整 12 家 LTC 机构协变量后,迟发暴发的继发感染发生率是早发暴发的 2.90 倍(OR:2.90;95%CI:2.04-4.13)。

结论

暴发识别的及时性可用于预测暴发的轨迹,制定暴发措施,并为质量改进提供回顾性反馈,以减少 LTC 机构居民呼吸道感染的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0255/11484918/f27bc5b6283c/2300719-f1.jpg

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