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根据处方药使用情况评估 SARS-CoV-2 感染易感性和严重程度的观察性研究:46506 名丹麦医护人员。

Susceptibility to and severity of SARS-CoV-2 infection according to prescription drug use-an observational study of 46,506 Danish healthcare workers.

机构信息

Department of Endocrinology, Copenhagen University Hospital (Bispebjerg & Steno Diabetes Center Copenhagen), Copenhagen, Denmark.

Department of Medical Endocrinology and Metabolism, Copenhagen University Hospital (Rigshospitalet), Copenhagen, Denmark.

出版信息

PLoS One. 2024 Nov 27;19(11):e0311260. doi: 10.1371/journal.pone.0311260. eCollection 2024.

Abstract

It is not well investigated whether exposure to specific drug classes is associated with COVID-19. We investigated the risk of SARS-CoV-2 infection and severe COVID-19 among healthcare workers according to prescription drug use. We conducted an observational study among Danish healthcare workers. SARS-CoV-2 positivity was defined as a positive PCR/ELISA test throughout 2020 and severe COVID-19 as any above 48-hour hospitalization within 14 days after infection. Patient characteristics came from online surveys while data on SARS-CoV-2, drugs and hospitalizations came from Danish Health Registers. Infected individuals were matched with uninfected controls based on age, sex, and chronic diseases. Drug exposure was defined as any prescription redemption in the past six and one month(s) before infection for each drug class. Models assessing the risk of infection (conditional logistic regression) and severe COVID-19 (logistic regressions) versus drug usage were adjusted for BMI, smoking, alcohol, education, region, and patient contact when possible. We matched 5,710 SARS-CoV-2-infected cases with 57,021 controls. The odds of infection were reduced by calcium channel blocker (adjusted odds ratio (aOR) 0.81, 95% Confidence Interval (CI): 0.66-1.00) and vasoprotective drug (aOR 0.77, CI: 0.62-0.95) usage during the six months before infection compared to no usage. Exposure to antibacterials in the past month increased the odds of infection (aOR 1.27, CI: 1.09-1.48). Among infected participants, the odds of severe COVID-19 were higher with usage of almost any investigated drug, especially, diuretics (crude odds radio (OR) 4.82, CI:2.15-10.83), obstructive airway disease drugs (OR 4.49, CI: 2.49-8.08), and antibacterials (OR 2.74 CI:1.62-4.61). In conclusion, antibacterials were associated with more SARS-CoV-2 infections and calcium channel blockers with less. Once infected, users of prescription drugs had higher odds of developing severe COVID-19. These findings suggest a need for studies to clarify interactions between specific drug groups, behaviour, known risk factors, and disease susceptibility/severity.

摘要

目前尚不清楚接触特定药物类别是否与 COVID-19 相关。我们根据处方药物使用情况,研究了医护人员感染 SARS-CoV-2 和重症 COVID-19 的风险。我们在丹麦医护人员中开展了一项观察性研究。SARS-CoV-2 阳性的定义为整个 2020 年 PCR/ELISA 检测阳性,重症 COVID-19 的定义为感染后 14 天内住院时间超过 48 小时。患者特征来自在线调查,而 SARS-CoV-2、药物和住院数据来自丹麦健康登记处。感染个体根据年龄、性别和慢性病与未感染对照相匹配。药物暴露定义为每种药物类别在感染前 6 个月和 1 个月内的任何处方兑换。评估感染风险(条件逻辑回归)和重症 COVID-19(逻辑回归)与药物使用的模型根据 BMI、吸烟、饮酒、教育、地区和患者接触进行了调整。我们将 5710 例 SARS-CoV-2 感染病例与 57021 例对照相匹配。与未使用药物相比,在感染前 6 个月使用钙通道阻滞剂(调整后的优势比(aOR)0.81,95%置信区间(CI):0.66-1.00)和血管保护药物(aOR 0.77,CI:0.62-0.95)可降低感染的几率。在过去一个月内使用抗菌药物会增加感染的几率(aOR 1.27,CI:1.09-1.48)。在感染参与者中,使用几乎所有研究药物的重症 COVID-19 几率更高,尤其是利尿剂(粗比值比(OR)4.82,CI:2.15-10.83)、气道阻塞性疾病药物(OR 4.49,CI:2.49-8.08)和抗菌药物(OR 2.74,CI:1.62-4.61)。总之,抗菌药物与更多的 SARS-CoV-2 感染有关,而钙通道阻滞剂则与之相反。一旦感染,处方药物使用者发生重症 COVID-19 的几率更高。这些发现表明需要进行研究以阐明特定药物组、行为、已知危险因素和疾病易感性/严重程度之间的相互作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/adb4/11602038/3415ee7d13cf/pone.0311260.g001.jpg

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