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Differentiating influenza from COVID-19 in patients presenting with suspected sepsis
European Journal of Clinical Microbiology & Infectious Diseases ( IF 4.5 ) Pub Date : 2020-12-03 , DOI: 10.1007/s10096-020-04109-x
Valentino D’Onofrio , Eveline Van Steenkiste , Agnes Meersman , Luc Waumans , Reinoud Cartuyvels , Karlijn Van Halem , Peter Messiaen , Inge C. Gyssens

There is a need for a quick assessment of severely ill patients presenting to the hospital. The objectives of this study were to identify clinical, laboratory and imaging parameters that could differentiate between influenza and COVID-19 and to assess the frequency and impact of early bacterial co-infection. A prospective observational cohort study was performed between February 2019 and April 2020. A retrospective cohort was studied early in the COVID-19 pandemic. Patients suspected of sepsis with PCR-confirmed influenza or SARS-CoV-2 were included. A multivariable logistic regression model was built to differentiate COVID-19 from influenza. In total, 103 patients tested positive for influenza and 110 patients for SARS-CoV-2, respectively. Hypertension (OR 6.550), both unilateral (OR 4.764) and bilateral (OR 7.916), chest X-ray abnormalities, lower temperature (OR 0.535), lower absolute leukocyte count (OR 0.857), lower AST levels (OR 0.946), higher LDH (OR 1.008), higher ALT (OR 1.044) and higher ferritin (OR 1.001) were predictive of COVID-19. Early bacterial co-infection was more frequent in patients with influenza (10.7% vs. 2.7%). Empiric antibiotic usage was high (76.7% vs. 84.5%). Several factors determined at presentation to the hospital can differentiate between influenza and COVID-19. In the future, this could help in triage, diagnosis and early management. Clinicaltrial.gov Identifier: NCT03841162



中文翻译:

在可疑脓毒症患者中将流感与COVID-19区分

需要对到医院就诊的重病患者进行快速评估。这项研究的目的是确定可以区分流感和COVID-19的临床,实验室和影像学参数,并评估早期细菌共感染的频率和影响。在2019年2月至2020年4月之间进行了一项前瞻性观察性队列研究。在COVID-19大流行初期对一项回顾性队列进行了研究。包括怀疑患有败血症的患者经PCR确诊的流感病毒或SARS-CoV-2。建立了多变量逻辑回归模型以区分COVID-19与流感。总共有103例流感检测呈阳性,110例SARS-CoV-2呈阳性。高血压(OR 6.550),单侧(OR 4.764)和双侧(OR 7.916),胸部X线检查异常,较低的温度(OR 0.535),较低的绝对白细胞计数(OR 0.857),较低的AST水平(OR 0.946),较高的LDH(OR 1.008),较高的ALT(OR 1.044)和较高的铁蛋白(OR 1.001)可以预测COVID-19 。流感患者早期细菌共感染更为常见(10.7%vs. 2.7%)。经验性抗生素使用率很高(76.7%对84.5%)。到医院就诊时确定的几个因素可以区分流感和COVID-19。将来,这可能有助于分类,诊断和早期管理。Clinicaltrial.gov标识符:NCT03841162 7%和2.7%)。经验性抗生素使用率很高(76.7%对84.5%)。到医院就诊时确定的几个因素可以区分流感和COVID-19。将来,这可能有助于分类,诊断和早期管理。Clinicaltrial.gov标识符:NCT03841162 7%和2.7%)。经验性抗生素使用率很高(76.7%对84.5%)。到医院就诊时确定的几个因素可以区分流感和COVID-19。将来,这可能有助于分类,诊断和早期管理。Clinicaltrial.gov标识符:NCT03841162

更新日期:2020-12-04
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