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牛津皇家全科医生学院研究和监测中心初级保健网络中 SARS-CoV-2 患者的风险因素:一项横断面研究。

Risk factors for SARS-CoV-2 among patients in the Oxford Royal College of General Practitioners Research and Surveillance Centre primary care network: a cross-sectional study.

机构信息

Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK; Royal College of General Practitioners Research and Surveillance Centre, London, UK.

Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK; Centre for the AIDS Programme of Research in South Africa, University of KwaZulu-Natal, Durban, South Africa.

出版信息

Lancet Infect Dis. 2020 Sep;20(9):1034-1042. doi: 10.1016/S1473-3099(20)30371-6. Epub 2020 May 15.

Abstract

BACKGROUND

There are few primary care studies of the COVID-19 pandemic. We aimed to identify demographic and clinical risk factors for testing positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) within the Oxford Royal College of General Practitioners (RCGP) Research and Surveillance Centre primary care network.

METHODS

We analysed routinely collected, pseudonymised data for patients in the RCGP Research and Surveillance Centre primary care sentinel network who were tested for SARS-CoV-2 between Jan 28 and April 4, 2020. We used multivariable logistic regression models with multiple imputation to identify risk factors for positive SARS-CoV-2 tests within this surveillance network.

FINDINGS

We identified 3802 SARS-CoV-2 test results, of which 587 were positive. In multivariable analysis, male sex was independently associated with testing positive for SARS-CoV-2 (296 [18·4%] of 1612 men vs 291 [13·3%] of 2190 women; adjusted odds ratio [OR] 1·55, 95% CI 1·27-1·89). Adults were at increased risk of testing positive for SARS-CoV-2 compared with children, and people aged 40-64 years were at greatest risk in the multivariable model (243 [18·5%] of 1316 adults aged 40-64 years vs 23 [4·6%] of 499 children; adjusted OR 5·36, 95% CI 3·28-8·76). Compared with white people, the adjusted odds of a positive test were greater in black people (388 [15·5%] of 2497 white people vs 36 [62·1%] of 58 black people; adjusted OR 4·75, 95% CI 2·65-8·51). People living in urban areas versus rural areas (476 [26·2%] of 1816 in urban areas vs 111 [5·6%] of 1986 in rural areas; adjusted OR 4·59, 95% CI 3·57-5·90) and in more deprived areas (197 [29·5%] of 668 in most deprived vs 143 [7·7%] of 1855 in least deprived; adjusted OR 2·03, 95% CI 1·51-2·71) were more likely to test positive. People with chronic kidney disease were more likely to test positive in the adjusted analysis (68 [32·9%] of 207 with chronic kidney disease vs 519 [14·4%] of 3595 without; adjusted OR 1·91, 95% CI 1·31-2·78), but there was no significant association with other chronic conditions in that analysis. We found increased odds of a positive test among people who are obese (142 [20·9%] of 680 people with obesity vs 171 [13·2%] of 1296 normal-weight people; adjusted OR 1·41, 95% CI 1·04-1·91). Notably, active smoking was linked with decreased odds of a positive test result (47 [11·4%] of 413 active smokers vs 201 [17·9%] of 1125 non-smokers; adjusted OR 0·49, 95% CI 0·34-0·71).

INTERPRETATION

A positive SARS-CoV-2 test result in this primary care cohort was associated with similar risk factors as observed for severe outcomes of COVID-19 in hospital settings, except for smoking. We provide evidence of potential sociodemographic factors associated with a positive test, including deprivation, population density, ethnicity, and chronic kidney disease.

FUNDING

Wellcome Trust.

摘要

背景

针对 COVID-19 大流行,目前仅有少数初级保健研究。我们旨在确定牛津皇家全科医生学院(RCGP)研究和监测中心初级保健网络中,检测出严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)阳性的人口统计学和临床风险因素。

方法

我们分析了 2020 年 1 月 28 日至 4 月 4 日期间在 RCGP 研究和监测中心初级保健监测网络中接受 SARS-CoV-2 检测的患者的常规收集、假名化数据。我们使用多变量逻辑回归模型和多重插补来确定该监测网络中 SARS-CoV-2 检测阳性的风险因素。

结果

我们确定了 3802 例 SARS-CoV-2 检测结果,其中 587 例为阳性。在多变量分析中,男性与 SARS-CoV-2 检测阳性独立相关(1612 名男性中有 296 例[18.4%],2190 名女性中有 291 例[13.3%];调整后的优势比[OR]为 1.55,95%置信区间[CI]为 1.27-1.89)。与儿童相比,成年人感染 SARS-CoV-2 的风险更高,在多变量模型中,40-64 岁人群的风险最大(1316 名 40-64 岁成年人中有 243 例[18.5%],499 名儿童中有 23 例[4.6%];调整后的 OR 为 5.36,95%CI 为 3.28-8.76)。与白人相比,黑人感染 SARS-CoV-2 的调整后几率更大(2497 名白人中有 388 例[15.5%],58 名黑人中有 36 例[62.1%];调整后的 OR 为 4.75,95%CI 为 2.65-8.51)。与农村地区相比,居住在城市地区(1816 名城市地区中有 476 例[26.2%],1986 名农村地区中有 111 例[5.6%];调整后的 OR 为 4.59,95%CI 为 3.57-5.90)和贫困程度较高地区(最贫困的 668 名中有 197 名[29.5%],最不贫困的 1855 名中有 143 名[7.7%];调整后的 OR 为 2.03,95%CI 为 1.51-2.71)的人更有可能检测呈阳性。在调整分析中,患有慢性肾脏病的人更有可能检测呈阳性(207 名患有慢性肾脏病的患者中有 68 例[32.9%],3595 名没有慢性肾脏病的患者中有 519 例[14.4%];调整后的 OR 为 1.91,95%CI 为 1.31-2.78),但在该分析中,与其他慢性疾病没有显著关联。我们发现肥胖人群中 SARS-CoV-2 检测阳性的几率增加(680 名肥胖人群中有 142 例[20.9%],1296 名正常体重人群中有 171 例[13.2%];调整后的 OR 为 1.41,95%CI 为 1.04-1.91)。值得注意的是,主动吸烟与 SARS-CoV-2 检测结果呈阴性的几率降低有关(413 名吸烟者中有 47 例[11.4%],1125 名非吸烟者中有 201 例[17.9%];调整后的 OR 为 0.49,95%CI 为 0.34-0.71)。

解释

在这个初级保健队列中,SARS-CoV-2 检测呈阳性的结果与在医院环境中观察到的 COVID-19 严重结局的类似风险因素有关,除了吸烟。我们提供了与 SARS-CoV-2 检测阳性相关的潜在社会人口因素的证据,包括贫困、人口密度、种族和慢性肾脏病。

资金

惠康信托基金会。

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