Temporal stability of phenotypes of acute respiratory distress syndrome: clinical implications for early corticosteroid therapy and mortality

IF 21.2 1区 医学 Q1 CRITICAL CARE MEDICINE
Joris Pensier, Maxime Fosset, Béla-Simon Paschold, Dario von Wedel, Simone Redaelli, Ben L. P. Braeuer, Victor Novack, Felix Balzer, Boris Jung, Marcelo B. P. Amato, Samir Jaber, Daniel Talmor, Elias Baedorf-Kassis, Maximilian S. Schaefer
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引用次数: 0

Abstract

Purpose

Inflammatory phenotypes of acute respiratory distress syndrome (ARDS) can predict patient outcomes and potentially response to treatment. The aim was to assess whether inflammatory phenotypes can be characterized over time using clinical surrogate data and used to guide therapy with corticosteroids.

Methods

Individual patient data and biomarkers from six multicenter randomized controlled trials (development, n = 1207; validation, n = 2751) were analyzed to establish an open-source AI Clinical Classifier (https://bostonmontpelliercare.shinyapps.io/AIClarity) for inflammatory phenotypes of ARDS using routine clinical data. Then, patients from a retrospective cohort (investigation, n = 5578) underwent classification from baseline to day 30. A discrete-time Bayesian Markov model assessed temporal stability at 3-day intervals. A target trial emulation and longitudinal logistic regression assessed corticosteroid effect on 30-day mortality depending on phenotype.

Results

The AI Clinical Classifier identified 2169 (39%) hyperinflammatory and 3409 (61%) hypoinflammatory patients. 1053 (49%) and 826 (24%) patients died within 30 days, respectively (p < 0.001). Over 30 days, 49%(1072/2169) of hyperinflammatory patients at baseline transitioned to hypoinflammatory, and 7%(229/3409) of hypoinflammatory patients at baseline transitioned to hyperinflammatory (p < 0.001). Phenotypes predicted response to corticosteroids, with lower mortality in hyperinflammatory patients (IPW-weighted hazard ratio [HR]: 0.81 [0.67–0.98], p = 0.033), and higher mortality in hypoinflammatory patients (IPW-weighted HR: 1.26 [1.06–1.50], p = 0.009). At day 3, a positive response to corticosteroids only persisted among patients who remained hyperinflammatory (adjusted odds ratio = 0.51, 95% CI 0.32–0.80, p = 0.004).

Conclusion

Characterization of inflammatory ARDS phenotypes using clinical surrogate data allows physicians to monitor patients throughout the course of the disease and guide clinical treatment. Corticosteroids may be beneficial in hyperinflammatory ARDS and harmful in hypoinflammatory ARDS.

急性呼吸窘迫综合征表型的时间稳定性:早期皮质类固醇治疗和死亡率的临床意义
目的急性呼吸窘迫综合征(ARDS)的炎症表型可以预测患者的预后和对治疗的潜在反应。目的是评估炎症表型是否可以随着时间的推移使用临床替代数据进行表征,并用于指导皮质类固醇治疗。方法分析6项多中心随机对照试验(开发试验,n = 1207;验证试验,n = 2751)的个体患者数据和生物标志物,利用常规临床数据建立开源的ARDS炎症表型AI临床分类器(https://bostonmontpelliercare.shinyapps.io/AIClarity)。然后,回顾性队列(调查,n = 5578)的患者从基线到第30天进行分类。离散时间贝叶斯马尔可夫模型以3天的间隔评估时间稳定性。目标试验模拟和纵向逻辑回归评估皮质类固醇对30天死亡率的影响取决于表型。结果AI临床分类器识别出2169例(39%)高炎症患者和3409例(61%)低炎症患者。1053例(49%)和826例(24%)患者在30天内死亡(p < 0.001)。在30天内,49%(1072/2169)的基线高炎症患者转变为低炎症,7%(229/3409)的基线低炎症患者转变为高炎症(p < 0.001)。表型预测对皮质类固醇的反应,高炎症患者死亡率较低(ipw加权风险比[HR]: 0.81 [0.67-0.98], p = 0.033),而低炎症患者死亡率较高(ipw加权风险比:1.26 [1.06-1.50],p = 0.009)。在第3天,对皮质类固醇的阳性反应仅在高炎症患者中持续存在(校正优势比= 0.51,95% CI 0.32-0.80, p = 0.004)。结论:使用临床替代数据表征炎症性ARDS表型使医生能够在整个病程中监测患者并指导临床治疗。皮质类固醇可能对高炎症性ARDS有益,而对低炎症性ARDS有害。
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来源期刊
Intensive Care Medicine
Intensive Care Medicine 医学-危重病医学
CiteScore
51.50
自引率
2.80%
发文量
326
审稿时长
1 months
期刊介绍: Intensive Care Medicine is the premier publication platform fostering the communication and exchange of cutting-edge research and ideas within the field of intensive care medicine on a comprehensive scale. Catering to professionals involved in intensive medical care, including intensivists, medical specialists, nurses, and other healthcare professionals, ICM stands as the official journal of The European Society of Intensive Care Medicine. ICM is dedicated to advancing the understanding and practice of intensive care medicine among professionals in Europe and beyond. The journal provides a robust platform for disseminating current research findings and innovative ideas in intensive care medicine. Content published in Intensive Care Medicine encompasses a wide range, including review articles, original research papers, letters, reviews, debates, and more.
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