Inflammatix, Burlingame, CA.
4th Department of Internal Medicine, National and Kapodistrian University of Athens, Medical School, Athens, Greece.
Crit Care Med. 2021 Feb 1;49(2):e170-e178. doi: 10.1097/CCM.0000000000004786.
Complex critical syndromes like sepsis and coronavirus disease 2019 may be composed of underling "endotypes," which may respond differently to treatment. The aim of this study was to test whether a previously defined bacterial sepsis endotypes classifier recapitulates the same clinical and immunological endotypes in coronavirus disease 2019.
Prospective single-center observational cohort study.
Patients were enrolled in Athens, Greece, and blood was shipped to Inflammatix (Burlingame, CA) for analysis.
Adult patients within 24 hours of hospital admission with coronavirus disease 2019 confirmed by polymerase chain reaction and chest radiography.
None.
We studied 97 patients with coronavirus disease 2019, of which 50 went on to severe respiratory failure (SRF) and 16 died. We applied a previously defined 33-messenger RNA classifier to assign endotype (Inflammopathic, Adaptive, or Coagulopathic) to each patient. We tested endotype status against other clinical parameters including laboratory values, severity scores, and outcomes. Patients were assigned as Inflammopathic (29%), Adaptive (44%), or Coagulopathic (27%), similar to our prior study in bacterial sepsis. Adaptive patients had lower rates of SRF and no deaths. Coagulopathic and Inflammopathic endotypes had 42% and 18% mortality rates, respectively. The Coagulopathic group showed highest d-dimers, and the Inflammopathic group showed highest C-reactive protein and interleukin-6 levels.
Our predefined 33-messenger RNA endotypes classifier recapitulated immune phenotypes in viral sepsis (coronavirus disease 2019) despite its prior training and validation only in bacterial sepsis. Further work should focus on continued validation of the endotypes and their interaction with immunomodulatory therapy.
脓毒症和 2019 年冠状病毒病等复杂危急综合征可能由潜在的“表型”组成,这些表型可能对治疗有不同的反应。本研究旨在测试先前定义的细菌性败血症表型分类器是否能重现 2019 年冠状病毒病的相同临床和免疫学表型。
前瞻性单中心观察队列研究。
患者在希腊雅典入院 24 小时内入组,通过聚合酶链反应和胸部 X 线检查确诊为 2019 年冠状病毒病。
成人患者,入院 24 小时内,通过聚合酶链反应和胸部 X 线检查确诊为 2019 年冠状病毒病。
无。
我们研究了 97 例 2019 年冠状病毒病患者,其中 50 例进展为严重呼吸衰竭(SRF),16 例死亡。我们应用了先前定义的 33-messenger RNA 分类器为每位患者分配表型(炎症表型、适应性或凝血表型)。我们测试了表型状态与其他临床参数(包括实验室值、严重程度评分和结局)的关系。患者被分为炎症表型(29%)、适应性表型(44%)或凝血表型(27%),与我们之前在细菌性败血症中的研究相似。适应性患者 SRF 发生率较低,无死亡病例。凝血表型和炎症表型的死亡率分别为 42%和 18%。凝血表型组的 D-二聚体最高,炎症表型组的 C 反应蛋白和白细胞介素-6 水平最高。
尽管我们之前的训练和验证仅在细菌性败血症中进行,但我们预先设定的 33-messenger RNA 表型分类器重现了病毒性败血症(2019 年冠状病毒病)的免疫表型。进一步的工作应集中于继续验证表型及其与免疫调节治疗的相互作用。