The Affiliated Suzhou Hospital of Nanjing Medical University, 26 Daoqian Road, Suzhou, 215000, PR China.
Gusu School, Nanjing Medical University, 458 Shizi Road, Suzhou, 215000, PR China.
BMC Pulm Med. 2023 Mar 21;23(1):92. doi: 10.1186/s12890-023-02384-w.
We aimed to identify new classes in acute respiratory distress syndrome (ARDS) using physiological and clinical variables and to explore heterogeneity in the effects of glucocorticoid therapy between classes.
Using the Medical Information Mart for Intensive Care-IV database, we identified patients with ARDS. Potential profile analysis was used to identify classes with physiological and clinical data as delineating variables. Baseline characteristics and clinical outcomes were compared between classes. The effect of glucocorticoid treatment was explored by stratifying by class and glucocorticoid treatment.
From 2008 to 2019, 1104 patients with ARDS were enrolled in the study. The 2-class potential analysis model had the best fit (P < 0.0001), with 78% of patients falling into class 1 and 22% into class 2. Additional classes did not improve the model fit. Patients in class 2 had higher anion gap, lactate, creatinine, and glucose levels and lower residual base, blood pressure, and bicarbonate compared with class 1. In-hospital mortality and 28-day mortality were significantly higher among patients in class 2 than those in class 1 (P < 0.001). Heterogeneity of glucocorticoid treatment was observed, stratified by class and treatment, with no significant effect in class 1 (P = 0.496), increased mortality in class 2 (P = 0.001), and a significant interaction (P = 0.0381). In class 2, 28-day survival was significantly lower with glucocorticoid treatment compared with no hormone treatment (P = 0.001).
We used clinical and physiological variables to identify two classes of non-COVID-19-associated ARDS with different baseline characteristics and clinical outcomes. The response to glucocorticoid therapy varied among different classes of patients.
本研究旨在利用生理和临床变量确定急性呼吸窘迫综合征(ARDS)的新类别,并探讨糖皮质激素治疗在不同类别之间的疗效差异。
利用医疗信息监护-IV 数据库,我们确定了 ARDS 患者。采用潜在剖面分析(Profile analysis)来确定以生理和临床数据为划分变量的类别。比较不同类别之间的基线特征和临床结局。通过分层分析和糖皮质激素治疗来探讨糖皮质激素治疗的效果。
2008 年至 2019 年,共有 1104 例 ARDS 患者纳入本研究。2 类潜在分析模型拟合度最佳(P < 0.0001),其中 78%的患者归入第 1 类,22%归入第 2 类。增加更多类别并不能提高模型拟合度。与第 1 类相比,第 2 类患者的阴离子间隙、乳酸、肌酐和血糖水平更高,而剩余碱、血压和碳酸氢盐水平更低。第 2 类患者的院内死亡率和 28 天死亡率均显著高于第 1 类(P < 0.001)。根据类别和治疗进行分层后,观察到糖皮质激素治疗存在异质性,第 1 类无显著影响(P = 0.496),第 2 类死亡率增加(P = 0.001),且交互作用有统计学意义(P = 0.0381)。第 2 类患者中,糖皮质激素治疗组 28 天生存率明显低于无激素治疗组(P = 0.001)。
本研究使用临床和生理变量确定了两种不同基线特征和临床结局的非 COVID-19 相关 ARDS 类别。不同类别的患者对糖皮质激素治疗的反应存在差异。