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安大略省和魁北克省(加拿大)住院 COVID-19 患者的死亡率趋势和住院时间:对前三个流行波的基于人群的队列研究。

Mortality trends and length of stays among hospitalized patients with COVID-19 in Ontario and Québec (Canada): a population-based cohort study of the first three epidemic waves.

机构信息

Department of Epidemiology and Biostatistics, School of Population and Global Health, McGill University, Montréal, QC, Canada.

MAP Centre for Urban Health Solutions, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.

出版信息

Int J Infect Dis. 2022 Aug;121:1-10. doi: 10.1016/j.ijid.2022.04.048. Epub 2022 Apr 25.

DOI:10.1016/j.ijid.2022.04.048
PMID:35477050
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9040412/
Abstract

BACKGROUND

Epidemics of COVID-19 strained hospital resources. We describe temporal trends in mortality risk and length of stays in hospital and intensive care units (ICUs) among patients with COVID-19 hospitalized through the first three epidemic waves in Canada.

METHODS

We used population-based provincial hospitalization data from the epicenters of Canada's epidemics (Ontario and Québec). Adjusted estimates were obtained using marginal standardization of logistic regression models, accounting for patient-level and hospital-level determinants.

RESULTS

Using all hospitalizations from Ontario (N = 26,538) and Québec (N = 23,857), we found that unadjusted in-hospital mortality risks peaked at 31% in the first wave and was lowest at the end of the third wave at 6-7%. This general trend remained after adjustments. The odds of in-hospital mortality in the highest patient load quintile were 1.2-fold (95% CI: 1.0-1.4; Ontario) and 1.6-fold (95% CI: 1.3-1.9; Québec) that of the lowest quintile. Mean hospital and ICU length of stays decreased over time but ICU stays were consistently higher in Ontario than Québec.

CONCLUSIONS

In-hospital mortality risks and length of ICU stays declined over time despite changing patient demographics. Continuous population-based monitoring of patient outcomes in an evolving epidemic is necessary for health system preparedness and response.

摘要

背景

COVID-19 疫情使医院资源紧张。我们描述了加拿大前三次疫情期间 COVID-19 住院患者的死亡率风险和住院时间及重症监护病房(ICU)住院时间的时间趋势。

方法

我们使用了加拿大疫情中心(安大略省和魁北克省)的基于人群的省级住院数据。使用逻辑回归模型的边缘标准化来获得调整后的估计值,考虑了患者水平和医院水平的决定因素。

结果

使用来自安大略省(n=26538)和魁北克省(n=23857)的所有住院数据,我们发现未经调整的住院死亡率在第一波达到 31%的峰值,在第三波结束时最低为 6-7%。这种总体趋势在调整后仍然存在。在患者负荷最高的五分位数中,住院死亡率的几率是最低五分位数的 1.2 倍(95%CI:1.0-1.4;安大略省)和 1.6 倍(95%CI:1.3-1.9;魁北克省)。住院和 ICU 住院时间的平均值随着时间的推移而减少,但 ICU 住院时间在安大略省一直高于魁北克省。

结论

尽管患者人口统计学特征发生了变化,但住院死亡率风险和 ICU 住院时间仍随着时间的推移而下降。在不断演变的疫情中,对患者结局进行连续的基于人群的监测对于卫生系统的准备和应对是必要的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6e4/9040412/07685608993e/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6e4/9040412/acb84729cd36/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6e4/9040412/122e3909e889/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6e4/9040412/5f94485246b3/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6e4/9040412/07685608993e/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6e4/9040412/acb84729cd36/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6e4/9040412/122e3909e889/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6e4/9040412/5f94485246b3/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6e4/9040412/07685608993e/gr4_lrg.jpg

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