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医疗机构关于 FFP-2 口罩使用的建议和医护人员中 SARS-CoV-2 血清阳性率:一项多中心纵向队列研究。

Healthcare institutions' recommendation regarding the use of FFP-2 masks and SARS-CoV-2 seropositivity among healthcare workers: a multicenter longitudinal cohort study.

机构信息

Department of Internal Medicine, Cantonal Hospital of Grisons, Chur, Switzerland.

Division of Infectious Diseases, Cantonal Hospital of Grisons, 7000, Chur, Switzerland.

出版信息

Antimicrob Resist Infect Control. 2022 Jan 10;11(1):6. doi: 10.1186/s13756-021-01047-x.

DOI:10.1186/s13756-021-01047-x
PMID:35012679
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8744038/
Abstract

BACKGROUND

Health care workers (HCW) are heavily exposed to SARS-CoV-2 from the beginning of the pandemic. We aimed to analyze risk factors for SARS-CoV-2 seroconversion among HCW with a special emphasis on the respective healthcare institutions' recommendation regarding the use of FFP-2 masks.

METHODS

We recruited HCW from 13 health care institutions (HCI) with different mask policies (type IIR surgical face masks vs. FFP-2 masks) in Southeastern Switzerland (canton of Grisons). Sera of participants were analyzed for the presence of SARS-CoV-2 antibodies 6 months apart, after the first and during the second pandemic wave using an electro-chemiluminescence immunoassay (ECLIA, Roche Diagnostics). We captured risk factors for SARS-CoV-2 infection by using an online questionnaire at both time points. The effects of individual COVID-19 exposure, regional incidence and FFP-2 mask policy on the probability of seroconversion were evaluated with univariable and multivariable logistic regression.

RESULTS

SARS-CoV-2 antibodies were detected in 99 of 2794 (3.5%) HCW at baseline and in 376 of 2315 (16.2%) participants 6 months later. In multivariable analyses the strongest association for seroconversion was exposure to a household member with known COVID-19 (aOR: 19.82, 95% CI 8.11-48.43, p < 0.001 at baseline and aOR: 8.68, 95% CI 6.13-12.29, p < 0.001 at follow-up). Significant occupational risk factors at baseline included exposure to COVID-19 patients (aOR: 2.79, 95% CI 1.28-6.09, p = 0.010) and to SARS-CoV-2 infected co-workers (aOR: 2.50, 95% CI 1.52-4.12, p < 0.001). At follow up 6 months later, non-occupational exposure to SARS-CoV-2 infected individuals (aOR: 2.54, 95% CI 1.66-3.89 p < 0.001) and the local COVID-19 incidence of the corresponding HCI (aOR: 1.98, 95% CI 1.30-3.02, p = 0.001) were associated with seroconversion. The healthcare institutions' mask policy (surgical masks during usual exposure vs. general use of FFP-2 masks) did not affect seroconversion rates of HCW during the first and the second pandemic wave.

CONCLUSION

Contact with SARS-CoV-2 infected household members was the most important risk factor for seroconversion among HCW. The strongest occupational risk factor was exposure to COVID-19 patients. During this pandemic, with heavy non-occupational exposure to SARS-CoV-2, the mask policy of HCIs did not affect the seroconversion rate of HCWs.

摘要

背景

医护人员(HCW)从大流行开始就大量接触 SARS-CoV-2。我们旨在分析 HCW 中 SARS-CoV-2 血清转化的危险因素,特别强调各自医疗机构关于使用 FFP-2 口罩的建议。

方法

我们从瑞士东南部(格劳宾登州)的 13 家具有不同口罩政策(IIR 外科口罩与 FFP-2 口罩)的医疗机构(HCI)招募 HCW。参与者的血清在第一次和第二次大流行波期间 6 个月后使用电化学发光免疫分析(ECLIA,罗氏诊断)分析 SARS-CoV-2 抗体的存在情况。我们使用在线问卷在两个时间点捕获 SARS-CoV-2 感染的危险因素。使用单变量和多变量逻辑回归评估个体 COVID-19 暴露、区域发病率和 FFP-2 口罩政策对血清转化率的影响。

结果

在 2794 名 HCW 中的 99 名(3.5%)和 2315 名参与者中的 376 名(16.2%)在基线时检测到 SARS-CoV-2 抗体。在多变量分析中,血清转化率的最强关联是与已知 COVID-19 的家庭成员接触(基线时的优势比[OR]:19.82,95%置信区间[CI]:8.11-48.43,p<0.001;随访时的 OR:8.68,95%CI:6.13-12.29,p<0.001)。基线时的显著职业危险因素包括接触 COVID-19 患者(OR:2.79,95%CI:1.28-6.09,p=0.010)和 SARS-CoV-2 感染的同事(OR:2.50,95%CI:1.52-4.12,p<0.001)。在随访 6 个月后,非职业接触 SARS-CoV-2 感染个体(OR:2.54,95%CI:1.66-3.89,p<0.001)和相应 HCI 的当地 COVID-19 发病率(OR:1.98,95%CI:1.30-3.02,p=0.001)与血清转化率相关。医疗机构的口罩政策(通常接触时使用外科口罩与普遍使用 FFP-2 口罩)在第一次和第二次大流行波期间均未影响 HCW 的血清转化率。

结论

与 SARS-CoV-2 感染的家庭成员接触是 HCW 血清转化的最重要危险因素。最强的职业危险因素是接触 COVID-19 患者。在这场大流行中,由于大量非职业接触 SARS-CoV-2,HCIs 的口罩政策并未影响 HCWs 的血清转化率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e10/8751311/25184a9910ab/13756_2021_1047_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e10/8751311/e88cdc5cfec6/13756_2021_1047_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e10/8751311/e88cdc5cfec6/13756_2021_1047_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e10/8751311/96706b2612a7/13756_2021_1047_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e10/8751311/e6a8afecb59c/13756_2021_1047_Fig3_HTML.jpg
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