P93 Comparison of inflammatory profiles between COVID-19 and other acute lower respiratory tract infections: Results from the PREDICT-COVID19 study

H. Keir, M. Long, Y. Giam, H. Leyah, T. Pembridge, L. Delgado, R. Hull, C. Hughes, A. Gilmour, C. Hocking, B. New, D. Connell, H. Richardson, D. Cassidy, A. Shoemark, J. Chalmers
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Abstract

IntroductionCOVID-19 has been reported to induce a ‘cytokine storm’ distinct from other acute respiratory tract infections (LRTIs). Understanding the similarities and differences in inflammatory profiles between SARS-CoV-2 infection and other respiratory infections may aid diagnosis, as well as the potential to repurpose therapies such as steroids and anti-IL-6 receptor antagonists for other respiratory infections.MethodsA prospective observational study of patients in 3 groups 1) PCR confirmed SARS-CoV-2 infection, 2) community-acquired pneumonia (CAP) without SARS-CoV-2, and 3) controls hospitalized for reasons other than infection. Patients were enrolled from a single centre in Dundee, UK. Patients were enrolled within 96 hours of hospital admission. 45 inflammatory biomarkers were measured in blood using the Olink target proteomic based biomarker panel. Additional markers were measured by ELISA/immunoassay and enzyme activity assay as appropriate. Discrimination between groups was evaluated using the area under the receiver operator characteristic curve (AUC).Results294 patients were included (COVID-19 n=176, CAP n=76, controls n=42), mean age 64 (SD±15.2) and 150 subjects were male (51.0%). Using ROC analysis the most discriminating biomarkers for COVID-19 compared to CAP were CXCL-10 (AUC 0.84 95%CI 0.78–0.90 p<0.001), CCL-8 (0.87 95%CI 0.82–0.92, p<0.001), CCL-7 (0.84 95%CI 0.78–0.89, p<0.001), CXCL-11 (0.80 95%CI 0.73–0.88, p<0.001). Further biomarkers included IL-18, IL-7, IL-10 and IL-33. The most discriminating biomarkers for COVID-19 compared to controls were CXCL-10 (0.89 95%CI 0.85–0.93, p<0.001, CCL-7 (0.88 95%CI 0.83–0.92, p<0.001), CCL-8 (0.87 95%CI 0.82–0.92, p<0.001). Further biomarkers included IL-10, CXCL-11 and IL-18. IL-4 was significantly lower in COVID-19 patients compared to controls (0.27 95%CI 0.16–0.38, p<0.001). No significant difference in IL-6 was seen between COVID-19 and CAP (median 21.9pg/ml vs 19.8pg/ml,p=0.59).ConclusionDifferential markers of inflammation were identified between COVID-19, CAP and control samples, indicating distinct immunological pathways. The identification of a similar IL-6 signature between COVID-19 and CAP indicates that IL-6 targeting therapies currently being used to treat COIVD-19 may also be beneficial in the treatment of CAP.
COVID-19与其他急性下呼吸道感染的炎症谱比较:来自predict - COVID-19研究的结果
据报道,covid -19可诱导不同于其他急性呼吸道感染(LRTIs)的“细胞因子风暴”。了解SARS-CoV-2感染与其他呼吸道感染之间炎症特征的异同可能有助于诊断,并有可能将类固醇和抗il -6受体拮抗剂等治疗方法重新用于其他呼吸道感染。方法对3组患者进行前瞻性观察研究:1)PCR确诊的SARS-CoV-2感染,2)无SARS-CoV-2的社区获得性肺炎(CAP), 3)非感染原因住院的对照。患者从英国邓迪的一个中心入组。患者在入院后96小时内入组。使用基于Olink靶蛋白组学的生物标志物面板测量血液中的45种炎症生物标志物。酌情采用ELISA/免疫法和酶活性法测定其他标记物。采用受试者操作特征曲线下面积(AUC)评价各组间的区别。结果纳入患者294例(COVID-19 176例,CAP 76例,对照组42例),平均年龄64 (SD±15.2),男性150例(51.0%)。通过ROC分析,与CAP相比,COVID-19最具鉴别性的生物标志物是CXCL-10 (AUC 0.84 95%CI 0.78-0.90 p<0.001)、cccl -8 (0.87 95%CI 0.82-0.92, p<0.001)、cccl -7 (0.84 95%CI 0.78-0.89, p<0.001)、CXCL-11 (0.80 95%CI 0.73-0.88, p<0.001)。其他生物标志物包括IL-18、IL-7、IL-10和IL-33。与对照组相比,COVID-19最具鉴别性的生物标志物是CXCL-10 (0.89 95%CI 0.85-0.93, p<0.001)、cccl -7 (0.88 95%CI 0.83-0.92, p<0.001)、cccl -8 (0.87 95%CI 0.82-0.92, p<0.001)。进一步的生物标志物包括IL-10、CXCL-11和IL-18。与对照组相比,COVID-19患者IL-4明显降低(0.27 95%CI 0.16-0.38, p<0.001)。COVID-19和CAP患者IL-6水平无显著差异(中位数分别为21.9pg/ml和19.8pg/ml,p=0.59)。结论COVID-19、CAP和对照组之间存在差异的炎症标志物,表明不同的免疫途径。在COVID-19和CAP之间发现相似的IL-6特征表明,目前用于治疗COVID-19的IL-6靶向疗法也可能有益于CAP的治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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