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在加拿大,167500 例 COVID-19 患者中,先前存在的合并症与死亡率和疾病严重程度的关系:一项基于人群的队列研究。

Association of pre-existing comorbidities with mortality and disease severity among 167,500 individuals with COVID-19 in Canada: A population-based cohort study.

机构信息

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

ICES, Toronto, Ontario, Canada.

出版信息

PLoS One. 2021 Oct 5;16(10):e0258154. doi: 10.1371/journal.pone.0258154. eCollection 2021.

Abstract

BACKGROUND

The novel coronavirus disease 2019 (COVID-19) has infected 1.9% of the world population by May 2, 2021. Since most previous studies that examined risk factors for mortality and severity were based on hospitalized individuals, population-based cohort studies are called for to provide evidence that can be extrapolated to the general population. Therefore, we aimed to examine the associations of comorbidities with mortality and disease severity in individuals with COVID-19 diagnosed in 2020 in Ontario, Canada.

METHODS AND FINDINGS

We conducted a retrospective cohort study of all individuals with COVID-19 in Ontario, Canada diagnosed between January 15 and December 31, 2020. Cases were linked to health administrative databases maintained in the ICES which covers all residents in Ontario. The primary outcome is all-cause 30-day mortality after the first COVID-19 diagnosis, and the secondary outcome is a composite severity index containing death and hospitalization. To examine the risk factors for the outcomes, we employed Cox proportional hazards regression models and logistic regression models to adjust for demographic, socio-economic variables and comorbidities. Results were also stratified by age groups. A total of 167,500 individuals were diagnosed of COVID-19 in 2020 and included in the study. About half (43.8%, n = 73,378) had at least one comorbidity. The median follow-up period were 30 days. The most common comorbidities were hypertension (24%, n = 40,154), asthma (16%, n = 26,814), and diabetes (14.7%, n = 24,662). Individuals with comorbidity had higher risk of mortality compared to those without (HR = 2.80, 95%CI 2.35-3.34; p<0.001), and the risk substantially was elevated from 2.14 (95%CI 1.76-2.60) to 4.81 (95%CI 3.95-5.85) times as the number of comorbidities increased from one to five or more. Significant predictors for mortality included comorbidities such as solid organ transplant (HR = 3.06, 95%CI 2.03-4.63; p<0.001), dementia (HR = 1.46, 95%CI 1.35-1.58; p<0.001), chronic kidney disease (HR = 1.45, 95%CI 1.34-1.57; p<0.001), severe mental illness (HR = 1.42, 95%CI%, 1.12-1.80; p<0.001), cardiovascular disease (CVD) (HR = 1.22, 95%CI, 1.15-1.30), diabetes (HR = 1.19, 95%, 1.12-1.26; p<0.001), chronic obstructive pulmonary disease (COPD) (HR = 1.19, 95%CI 1.12-1.26; p<0.001), cancer (HR = 1.17, 95%CI, 1.09-1.27; p<0.001), hypertension (HR = 1.16, 95%CI, 1.07-1.26; p<0.001). Compared to their effect in older age groups, comorbidities were associated with higher risk of mortality and severity in individuals under 50 years old. Individuals with five or more comorbidities in the below 50 years age group had 395.44 (95%CI, 57.93-2699.44, p<0.001) times higher risk of mortality compared to those without. Limitations include that data were collected during 2020 when the new variants of concern were not predominant, and that the ICES databases do not contain detailed individual-level socioeconomic and racial variables.

CONCLUSION

We found that solid organ transplant, dementia, chronic kidney disease, severe mental illness, CVD, hypertension, COPD, cancer, diabetes, rheumatoid arthritis, HIV, and asthma were associated with mortality or severity. Our study highlights that the number of comorbidities was a strong risk factor for deaths and severe outcomes among younger individuals with COVID-19. Our findings suggest that in addition of prioritizing by age, vaccination priority groups should also include younger population with multiple comorbidities.

摘要

背景

截至 2021 年 5 月 2 日,新型冠状病毒病 2019(COVID-19)已感染全球 1.9%的人口。由于之前大多数研究死亡率和严重程度的风险因素都是基于住院患者,因此需要进行基于人群的队列研究,以提供可以外推至一般人群的证据。因此,我们旨在研究 2020 年在加拿大安大略省诊断的 COVID-19 患者中合并症与死亡率和疾病严重程度的关系。

方法和发现

我们对加拿大安大略省所有在 2020 年 1 月 15 日至 12 月 31 日期间诊断为 COVID-19 的患者进行了回顾性队列研究。病例与 ICES 维护的健康行政数据库相关联,ICES 覆盖了安大略省的所有居民。主要结局是 COVID-19 首次诊断后 30 天的全因死亡率,次要结局是包含死亡和住院的综合严重程度指数。为了研究结局的风险因素,我们使用 Cox 比例风险回归模型和逻辑回归模型来调整人口统计学、社会经济变量和合并症。结果还按年龄组分层。2020 年共有 167500 人被诊断患有 COVID-19 并纳入研究。约一半(43.8%,n=73378)有至少一种合并症。中位随访期为 30 天。最常见的合并症是高血压(24%,n=40154)、哮喘(16%,n=26814)和糖尿病(14.7%,n=24662)。与无合并症者相比,有合并症者的死亡率风险更高(HR=2.80,95%CI 2.35-3.34;p<0.001),并且随着合并症数量从 1 种增加到 5 种或更多,风险从 2.14(95%CI 1.76-2.60)显著增加到 4.81(95%CI 3.95-5.85)。死亡率的显著预测因素包括实体器官移植(HR=3.06,95%CI 2.03-4.63;p<0.001)、痴呆症(HR=1.46,95%CI 1.35-1.58;p<0.001)、慢性肾脏病(HR=1.45,95%CI 1.34-1.57;p<0.001)、严重精神疾病(HR=1.42,95%CI 1.12-1.80;p<0.001)、心血管疾病(CVD)(HR=1.22,95%CI 1.15-1.30)、糖尿病(HR=1.19,95%CI 1.12-1.26;p<0.001)、慢性阻塞性肺疾病(COPD)(HR=1.19,95%CI 1.12-1.26;p<0.001)、癌症(HR=1.17,95%CI 1.09-1.27;p<0.001)和高血压(HR=1.16,95%CI 1.07-1.26;p<0.001)。与老年组相比,在 50 岁以下的个体中,合并症与死亡率和严重程度的风险增加相关。在 50 岁以下的个体中,有五种或更多合并症的个体与无合并症者相比,死亡率的风险增加了 395.44 倍(95%CI 57.93-2699.44,p<0.001)。局限性包括数据是在新的关注变体尚未占主导地位的 2020 年收集的,并且 ICES 数据库不包含详细的个人层面的社会经济和种族变量。

结论

我们发现实体器官移植、痴呆症、慢性肾脏病、严重精神疾病、CVD、高血压、COPD、癌症、糖尿病、类风湿关节炎、HIV 和哮喘与死亡率或严重程度相关。我们的研究强调,在 COVID-19 年轻患者中,合并症的数量是死亡和严重结局的一个强烈风险因素。我们的研究结果表明,除了按年龄划分优先顺序外,疫苗优先群体还应包括合并症较多的年轻人群。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05b2/8491945/4408e2e7ef42/pone.0258154.g001.jpg

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