Fraser Douglas D, Cepinskas Gediminas, Slessarev Marat, Martin Claudio, Daley Mark, Miller Michael R, O'Gorman David B, Gill Sean E, Patterson Eric K, Dos Santos Claudia C
Lawson Health Research Institute, London, ON, Canada.
Departments of Pediatrics, Clinical Neurological Sciences and Physiology and Pharmacology, Western University, London, ON, Canada.
Crit Care Explor. 2020 Jun 22;2(6):e0144. doi: 10.1097/CCE.0000000000000144. eCollection 2020 Jun.
Coronavirus disease 2019 is caused by severe acute respiratory syndrome-coronavirus-2 infection to which there is no community immunity. Patients admitted to ICUs have high mortality, with only supportive therapies available. Our aim was to profile plasma inflammatory analytes to help understand the host response to coronavirus disease 2019.
Daily blood inflammation profiling with immunoassays.
Tertiary care ICU and academic laboratory.
All patients admitted to the ICU suspected of being infected with severe acute respiratory syndrome-coronavirus-2, using standardized hospital screening methodologies, had daily blood samples collected until either testing was confirmed negative on ICU day 3 (coronavirus disease 2019 negative), or until ICU day 7 if the patient was positive (coronavirus disease 2019 positive).
None.
Age- and sex-matched healthy controls and ICU patients that were either coronavirus disease 2019 positive or coronavirus disease 2019 negative were enrolled. Cohorts were well-balanced with the exception that coronavirus disease 2019 positive patients were more likely than coronavirus disease 2019 negative patients to suffer bilateral pneumonia. Mortality rate for coronavirus disease 2019 positive ICU patients was 40%. We measured 57 inflammatory analytes and then analyzed with both conventional statistics and machine learning. Twenty inflammatory analytes were different between coronavirus disease 2019 positive patients and healthy controls ( < 0.01). Compared with coronavirus disease 2019 negative patients, coronavirus disease 2019 positive patients had 17 elevated inflammatory analytes on one or more of their ICU days 1-3 ( < 0.01), with feature classification identifying the top six analytes between cohorts as tumor necrosis factor, granzyme B, heat shock protein 70, interleukin-18, interferon-gamma-inducible protein 10, and elastase 2. While tumor necrosis factor, granzyme B, heat shock protein 70, and interleukin-18 were elevated for all seven ICU days, interferon-gamma-inducible protein 10 transiently elevated on ICU days 2 and 3 and elastase 2 increased over ICU days 2-7. Inflammation profiling predicted coronavirus disease 2019 status with 98% accuracy, whereas elevated heat shock protein 70 was strongly associated with mortality.
While many inflammatory analytes were elevated in coronavirus disease 2019 positive ICU patients, relative to healthy controls, the top six analytes distinguishing coronavirus disease 2019 positive ICU patients from coronavirus disease 2019 negative ICU patients were tumor necrosis factor, granzyme B, heat shock protein 70, interleukin-18, interferon-gamma-inducible protein 10, and elastase 2.
2019冠状病毒病由严重急性呼吸综合征冠状病毒2感染引起,目前尚无群体免疫力。入住重症监护病房(ICU)的患者死亡率很高,目前只有支持性治疗手段。我们的目的是分析血浆炎症分析物,以帮助了解宿主对2019冠状病毒病的反应。
采用免疫分析法对血液炎症进行每日分析。
三级医疗ICU和学术实验室。
所有入住ICU且怀疑感染严重急性呼吸综合征冠状病毒2的患者,采用标准化医院筛查方法,每天采集血液样本,直至在ICU第3天检测确诊为阴性(2019冠状病毒病阴性),或者如果患者为阳性,则直至ICU第7天(2019冠状病毒病阳性)。
无。
纳入年龄和性别匹配的健康对照以及2019冠状病毒病阳性或阴性的ICU患者。各队列均衡良好,唯一的例外是2019冠状病毒病阳性患者比2019冠状病毒病阴性患者更易患双侧肺炎。2019冠状病毒病阳性ICU患者的死亡率为40%。我们检测了57种炎症分析物,然后采用传统统计学方法和机器学习进行分析。20种炎症分析物在2019冠状病毒病阳性患者和健康对照之间存在差异(<0.01)。与2019冠状病毒病阴性患者相比,2019冠状病毒病阳性患者在ICU第1至3天中的一天或多天有17种炎症分析物升高(<0.01),特征分类确定队列之间的前六种分析物为肿瘤坏死因子、颗粒酶B、热休克蛋白70、白细胞介素-18、干扰素-γ诱导蛋白10和弹性蛋白酶2。虽然肿瘤坏死因子、颗粒酶B、热休克蛋白70和白细胞介素-18在所有七个ICU日都升高,但干扰素-γ诱导蛋白10在ICU第2天和第3天短暂升高,弹性蛋白酶2在ICU第2至7天升高。炎症分析预测2019冠状病毒病状态的准确率为98%,而热休克蛋白70升高与死亡率密切相关。
虽然2019冠状病毒病阳性ICU患者中有许多炎症分析物升高,但相对于健康对照,区分2019冠状病毒病阳性ICU患者和2019冠状病毒病阴性ICU患者的前六种分析物是肿瘤坏死因子、颗粒酶B、热休克蛋白70、白细胞介素-18、干扰素-γ诱导蛋白10和弹性蛋白酶2。