Department of Anesthesiology, Washington University Medical School, Saint Louis, Missouri.
Division of Pulmonary, Allergy, and Critical Care Medicine.
Am J Respir Crit Care Med. 2021 Dec 1;204(11):1274-1285. doi: 10.1164/rccm.202105-1302OC.
Two distinct subphenotypes have been identified in acute respiratory distress syndrome (ARDS), but the presence of subgroups in ARDS associated with coronavirus disease (COVID-19) is unknown. To identify clinically relevant, novel subgroups in COVID-19-related ARDS and compare them with previously described ARDS subphenotypes. Eligible participants were adults with COVID-19 and ARDS at Columbia University Irving Medical Center. Latent class analysis was used to identify subgroups with baseline clinical, respiratory, and laboratory data serving as partitioning variables. A previously developed machine learning model was used to classify patients as the hypoinflammatory and hyperinflammatory subphenotypes. Baseline characteristics and clinical outcomes were compared between subgroups. Heterogeneity of treatment effect for corticosteroid use in subgroups was tested. From March 2, 2020, to April 30, 2020, 483 patients with COVID-19-related ARDS met study criteria. A two-class latent class analysis model best fit the population ( = 0.0075). Class 2 (23%) had higher proinflammatory markers, troponin, creatinine, and lactate, lower bicarbonate, and lower blood pressure than class 1 (77%). Ninety-day mortality was higher in class 2 versus class 1 (75% vs. 48%; < 0.0001). Considerable overlap was observed between these subgroups and ARDS subphenotypes. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RT-PCR cycle threshold was associated with mortality in the hypoinflammatory but not the hyperinflammatory phenotype. Heterogeneity of treatment effect to corticosteroids was observed ( = 0.0295), with improved mortality in the hyperinflammatory phenotype and worse mortality in the hypoinflammatory phenotype, with the caveat that corticosteroid treatment was not randomized. We identified two COVID-19-related ARDS subgroups with differential outcomes, similar to previously described ARDS subphenotypes. SARS-CoV-2 PCR cycle threshold had differential value for predicting mortality in the subphenotypes. The subphenotypes had differential treatment responses to corticosteroids.
两种不同的表型已在急性呼吸窘迫综合征(ARDS)中确定,但冠状病毒病(COVID-19)相关 ARDS 中是否存在亚组尚不清楚。 目的是在 COVID-19 相关 ARDS 中确定临床上相关的、新的亚组,并与以前描述的 ARDS 表型进行比较。 符合条件的参与者为哥伦比亚大学欧文医学中心的 COVID-19 合并 ARDS 的成年人。使用潜在类别分析来识别以基线临床、呼吸和实验室数据为分区变量的亚组。使用先前开发的机器学习模型将患者分类为低炎症和高炎症亚表型。比较亚组之间的基线特征和临床结局。测试亚组中皮质类固醇使用的治疗效果异质性。 从 2020 年 3 月 2 日至 2020 年 4 月 30 日,483 例 COVID-19 相关 ARDS 患者符合研究标准。双类潜在类别分析模型最适合该人群( = 0.0075)。第 2 类(23%)具有更高的促炎标志物、肌钙蛋白、肌酐和乳酸,更低的碳酸氢盐和更低的血压比第 1 类(77%)。第 2 类的 90 天死亡率高于第 1 类(75% vs. 48%; < 0.0001)。这些亚组与 ARDS 表型之间存在明显重叠。严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)RT-PCR 循环阈值与低炎症表型而非高炎症表型的死亡率相关。皮质类固醇的治疗效果存在异质性( = 0.0295),高炎症表型的死亡率改善,低炎症表型的死亡率恶化,但皮质类固醇治疗不是随机的。 我们确定了两种具有不同结局的 COVID-19 相关 ARDS 亚组,类似于以前描述的 ARDS 表型。SARS-CoV-2 PCR 循环阈值对预测表型的死亡率具有不同的价值。亚组对皮质类固醇的治疗反应不同。