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COVID-19大流行期间导致肺栓塞住院人数增加的潜在因素:来自德国全境黑利奥斯医院网络的见解

Potential Contributors to Increased Pulmonary Embolism Hospitalizations During the COVID-19 Pandemic: Insights From the German-Wide Helios Hospital Network.

作者信息

Husser Daniela, Hohenstein Sven, Pellissier Vincent, Ueberham Laura, König Sebastian, Hindricks Gerhard, Meier-Hellmann Andreas, Kuhlen Ralf, Bollmann Andreas

机构信息

Heart Center Leipzig at University of Leipzig and Leipzig Heart Institute, Leipzig, Germany.

Helios Kliniken, Berlin, Germany.

出版信息

Front Cardiovasc Med. 2021 Aug 12;8:715761. doi: 10.3389/fcvm.2021.715761. eCollection 2021.

Abstract

After the first COVID-19 infection wave, a constant increase of pulmonary embolism (PE) hospitalizations not linked with active PCR-confirmed COVID-19 was observed, but potential contributors to this observation are unclear. Therefore, we analyzed associations between changes in PE hospitalizations and (1) the incidence of non-COVID-19 pneumonia, (2) the use of computed tomography pulmonary angiography (CTPA), (3) volume depletion, and (4) preceding COVID-19 infection numbers in Germany. Claims data of Helios hospitals in Germany were used, and consecutive cases with a hospital admission between May 6 and December 15, 2020 (PE surplus period), were analyzed and compared to corresponding periods covering the same weeks in 2016-2019 (control period). We analyzed the number of PE cases in the target period with multivariable Poisson general linear mixed models (GLMM) including (a) cohorts of 2020 versus 2016-2019, (b) the number of cases with pneumonia, (c) CTPA, and (d) volume depletion and adjusted for age and sex. In order to associate the daily number of PE cases in 2020 with the number of preceding SARS-CoV-2 infections in Germany, we calculated the average number of daily infections (divided by 10,000) occurring between 14 up to 90 days with increasing window sizes before PE cases and modeled the data with Poisson regression. There were 2,404 PE hospitalizations between May 6 and December 15, 2020, as opposed to 2,112-2,236 (total 8,717) in the corresponding 2016-2019 control periods (crude rate ratio [CRR] 1.10, 95% CI 1.05-1.15, < 0.01). With the use of multivariable Poisson GLMM adjusted for age, sex, and volume depletion, PE cases were significantly associated with the number of cases with pneumonia (CRR 1.09, 95% CI 1.07-1.10, < 0.01) and with CTPA (CRR 1.10, 95% CI 1.09-1.10, < 0.01). The increase of PE cases in 2020 compared with the control period remained significant (CRR 1.07, 95% CI 1.02-1.12, < 0.01) when controlling for those factors. In the 2020 cohort, the number of preceding average daily COVID-19 infections was associated with increased PE case incidence in all investigated windows, i.e., including preceding infections from 14 to 90 days. The best model (log likelihood -576) was with a window size of 4 days, i.e., average COVID-19 infections 14-17 days before PE hospitalization had a risk of 1.20 (95% CI 1.12-1.29, < 0.01). There is an increase in PE cases since early May 2020 compared to corresponding periods in 2016-2019. This surplus was significant even when controlling for changes in potential modulators such as demographics, volume depletion, non-COVID-19 pneumonia, CTPA use, and preceding COVID-19 infections. Future studies are needed (1) to investigate a potential causal link for increased risk of delayed PE with preceding SARS-CoV-2 infection and (2) to define optimal screening for SARS-CoV-2 in patients presenting with pneumonia and PE.

摘要

在第一波新冠病毒感染浪潮之后,观察到与实时荧光定量聚合酶链反应(PCR)确诊的现症新冠病毒感染无关的肺栓塞(PE)住院病例持续增加,但尚不清楚导致这一现象的潜在因素。因此,我们分析了德国PE住院病例变化与以下因素之间的关联:(1)非新冠病毒肺炎的发病率;(2)计算机断层扫描肺动脉造影(CTPA)的使用;(3)容量缺失;(4)既往新冠病毒感染病例数。我们使用了德国赫利俄斯医院的理赔数据,对2020年5月6日至12月15日(PE过剩期)期间连续入院的病例进行分析,并与2016 - 2019年相同周数的相应时期(对照期)进行比较。我们使用多变量泊松广义线性混合模型(GLMM)分析目标时期的PE病例数,该模型包括:(a)2020年与2016 - 2019年的队列;(b)肺炎病例数;(c)CTPA;(d)容量缺失,并对年龄和性别进行了调整。为了将2020年每日PE病例数与德国之前的严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染病例数相关联,我们计算了在PE病例前14至90天内,随着窗口大小增加,每日平均感染数(除以10,000),并使用泊松回归对数据进行建模。2020年5月6日至12月15日期间有2404例PE住院病例,而2016 - 2019年相应对照期为2112 - 2236例(总计8717例)(粗率比[CRR]为1.10,95%置信区间[CI]为1.05 - 1.15,P < 0.01)。在对年龄、性别和容量缺失进行调整的多变量泊松GLMM分析中,PE病例与肺炎病例数(CRR为1.09,95% CI为1.07 - 1.10,P < 0.01)和CTPA(CRR为1.10,95% CI为1.09 - 1.10,P < 0.01)显著相关。在控制这些因素后,2020年与对照期相比,PE病例数的增加仍然显著(CRR为1.07,95% CI为1.02 - 1.12,P < 0.01)。在2020年队列中,在所有研究的窗口中,既往平均每日新冠病毒感染病例数与PE病例发病率增加相关,即包括14至90天前的感染病例。最佳模型(对数似然值为 - 576)的窗口大小为4天,即PE住院前14 - 17天的平均新冠病毒感染病例数的风险为1.20(95% CI为1.12 - 1.29,P < 0.01)。与2016 - 2019年的相应时期相比,自2020年5月初以来PE病例数有所增加。即使在控制了潜在调节因素(如人口统计学、容量缺失、非新冠病毒肺炎、CTPA使用和既往新冠病毒感染)的变化后,这种过剩仍然显著。未来需要开展研究:(1)调查既往SARS-CoV-2感染与延迟性PE风险增加之间的潜在因果关系;(2)确定对患有肺炎和PE的患者进行SARS-CoV-2最佳筛查方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/521c/8387932/026c5deaeed2/fcvm-08-715761-g0001.jpg

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