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使用29-mRNA宿主反应分类器IMX-BVN-3检测急诊科就诊的2019冠状病毒病患者的病毒感染、细菌合并感染和重叠感染:一项多中心研究

Detection of Viral Infection and Bacterial Coinfection and Superinfection in Coronavirus Disease 2019 Patients Presenting to the Emergency Department Using the 29-mRNA Host Response Classifier IMX-BVN-3: A Multicenter Study.

作者信息

Bauer Wolfgang, Gläser Sven, Thiemig Dorina, Wanner Katrin, Peric Alexander, Behrens Steffen, Bialas Johanna, Behrens Angelika, Galtung Noa, Liesenfeld Oliver, Sun Lisa, May Larissa, Mace Sharron, Ott Sebastian, Vesenbeckh Silvan

机构信息

Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Emergency Medicine, Berlin, Germany.

Klinik für Innere Medizin-Pneumologie, Vivantes Klinikum Spandau und Klinik für Innere Medizin-Pneumologie und Infektiologie, Vivantes Klinikum Neukölln, Berlin, Germany.

出版信息

Open Forum Infect Dis. 2022 Aug 25;9(9):ofac437. doi: 10.1093/ofid/ofac437. eCollection 2022 Sep.

Abstract

BACKGROUND

Identification of bacterial coinfection in patients with coronavirus disease 2019 (COVID-19) facilitates appropriate initiation or withholding of antibiotics. The Inflammatix Bacterial Viral Noninfected (IMX-BVN) classifier determines the likelihood of bacterial and viral infections. In a multicenter study, we investigated whether IMX-BVN version 3 (IMX-BVN-3) identifies patients with COVID-19 and bacterial coinfections or superinfections.

METHODS

Patients with polymerase chain reaction-confirmed COVID-19 were enrolled in Berlin, Germany; Basel, Switzerland; and Cleveland, Ohio upon emergency department or hospital admission. PAXgene Blood RNA was extracted and 29 host mRNAs were quantified. IMX-BVN-3 categorized patients into very unlikely, unlikely, possible, and very likely bacterial and viral interpretation bands. IMX-BVN-3 results were compared with clinically adjudicated infection status.

RESULTS

IMX-BVN-3 categorized 102 of 111 (91.9%) COVID-19 patients into very likely or possible, 7 (6.3%) into unlikely, and 2 (1.8%) into very unlikely viral bands. Approximately 94% of patients had IMX-BVN-3 unlikely or very unlikely bacterial results. Among 7 (6.3%) patients with possible (n = 4) or very likely (n = 3) bacterial results, 6 (85.7%) had clinically adjudicated bacterial coinfection or superinfection. Overall, 19 of 111 subjects for whom adjudication was performed had a bacterial infection; 7 of these showed a very likely or likely bacterial result in IMX-BVN-3.

CONCLUSIONS

IMX-BVN-3 identified COVID-19 patients as virally infected and identified bacterial coinfections and superinfections. Future studies will determine whether a point-of-care version of the classifier may improve the management of COVID-19 patients, including appropriate antibiotic use.

摘要

背景

识别2019冠状病毒病(COVID-19)患者中的细菌合并感染有助于合理启动或停用抗生素。Inflammatix细菌病毒未感染(IMX-BVN)分类器可确定细菌和病毒感染的可能性。在一项多中心研究中,我们调查了IMX-BVN版本3(IMX-BVN-3)能否识别出患有COVID-19以及细菌合并感染或重叠感染的患者。

方法

在德国柏林、瑞士巴塞尔和俄亥俄州克利夫兰,对因急诊或住院而经聚合酶链反应确诊为COVID-19的患者进行登记。提取PAXgene血液RNA并对29种宿主mRNA进行定量分析。IMX-BVN-3将患者分为细菌和病毒感染可能性极小、不太可能、有可能以及很可能的类别。将IMX-BVN-3的结果与临床判定的感染状态进行比较。

结果

IMX-BVN-3将111例COVID-19患者中的102例(91.9%)归类为病毒感染可能性很可能或有可能,7例(6.3%)为不太可能,2例(1.8%)为可能性极小。约94%的患者IMX-BVN-3显示细菌感染可能性不太可能或极小。在7例(6.3%)细菌感染可能性为有可能(n = 4)或很可能(n = 3)的患者中,6例(85.7%)经临床判定为细菌合并感染或重叠感染。总体而言,111例接受判定的受试者中有19例发生细菌感染;其中7例在IMX-BVN-3中显示细菌感染可能性很可能或有可能。

结论

IMX-BVN-3可识别出COVID-19病毒感染患者,并能识别出细菌合并感染和重叠感染。未来的研究将确定该分类器的即时检测版本是否可改善COVID-19患者的管理,包括合理使用抗生素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de5d/9472669/30e2f0bbee0b/ofac437f1.jpg

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