Clinical Subtype Trajectories in Sepsis Patients Admitted to the ICU: A Secondary Analysis of an Observational Study.

Q4 Medicine Critical care explorations Pub Date : 2024-11-14 eCollection Date: 2024-11-01 DOI:10.1097/CCE.0000000000001176
Marleen A Slim, Rombout B E van Amstel, Marcella C A Müller, Olaf L Cremer, Alexander P J Vlaar, Tom van der Poll, W Joost Wiersinga, Christopher W Seymour, Lonneke A van Vught
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Abstract

Objectives: Sepsis is an evolving process and proposed subtypes may change over time. We hypothesized that previously established sepsis subtypes are dynamic, prognostic of outcome, and trajectories are associated with host response alterations.

Design: A secondary analysis of two observational critically ill sepsis cohorts: the Molecular diAgnosis and Risk stratification of Sepsis (MARS) and the Medical Information Mart for Intensive Care-IV (MIMIC-IV).

Setting: ICUs in the Netherlands and United States between 2011-2014 and 2008-2019, respectively.

Participants: Patient admission fulfilling the Sepsis-3 criteria upon ICU admission adjudicated to one of four previously identified subtypes, comprising 2,416 admissions in MARS and 10,745 in MIMIC-IV.

Main outcomes and measures: Subtype stability and the changes per subtype on days 2, 4 and 7 of ICU admission were assessed. Next, the associated between change in clinical subtype and outcome and host response alterations.

Results: In MARS, upon ICU admission, 6% (n = 150) of the patient admissions were α-type, 3% (n = 70) β-type, 55% (n = 1317) γ-type, and 36% (n = 879) δ-type; in MIMIC-IV, this was α = 22% (n = 2398), β = 22% (n = 2365), γ = 31% (n = 3296), and δ = 25% (2686). Overall, prevalence of subtypes was stable over days 2, 4, and 7. However, 28-56% (MARS/MIMIC-IV) changed from α on ICU admission to any of the other subtypes on day 2, 33-71% from β, 57-32% from γ, and 50-48% from δ. On day 4, overall subtype persistence was 33-36%. γ or δ admissions remaining in, or transitioning to, subtype γ on days 2, 4, and 7 exhibited lower mortality rates compared with those remaining in, or transitioning to, subtype δ. Longitudinal host response biomarkers reflecting inflammation, coagulation, and endothelial dysfunction were most altered in the δ-δ group, followed by the γ-δ group, independent of the day or biomarker domain.

Conclusions and relevance: In two large cohorts, subtype change to δ was associated with worse clinical outcome and more aberrant biomarkers reflecting inflammation, coagulation, and endothelial dysfunction. These findings underscore the importance of monitoring sepsis subtypes and their linked host responses for improved prognostication and personalized treatment strategies.

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入住重症监护室的败血症患者的临床亚型轨迹:一项观察性研究的二次分析。
目的:脓毒症是一个不断发展的过程,所提出的亚型可能会随着时间的推移而改变。我们假设,以前确定的败血症亚型是动态的,对预后有影响,其轨迹与宿主反应的改变有关:设计:对两个观察性重症脓毒症队列进行二次分析:脓毒症分子诊断与风险分层(MARS)和重症监护医学信息市场-IV(MIMIC-IV):背景:2011-2014年和2008-2019年期间分别在荷兰和美国的重症监护病房:主要结果和测量指标:亚型的稳定性和每个亚型的变化:主要结果和测量指标:评估了亚型的稳定性以及每个亚型在入住 ICU 第 2、4 和 7 天的变化情况。然后,评估临床亚型变化与预后和宿主反应改变之间的相关性:在 MARS 中,入住 ICU 的患者中有 6%(n = 150)为 α 型,3%(n = 70)为 β 型,55%(n = 1317)为 γ 型,36%(n = 879)为 δ 型;在 MIMIC-IV 中,α = 22%(n = 2398),β = 22%(n = 2365),γ = 31%(n = 3296),δ = 25%(2686)。总体而言,亚型的流行率在第 2、4 和 7 天保持稳定。但是,28-56%(MARS/MIMIC-IV)的患者在入住 ICU 第 2 天从 α 转为其他亚型,33-71% 的患者从 β 转为其他亚型,57-32% 的患者从 γ 转为其他亚型,50-48% 的患者从 δ 转为其他亚型。第 4 天,总体亚型持续率为 33-36%。在第 2、4 和 7 天仍处于或过渡到γ亚型的γ或δ入院者的死亡率低于仍处于或过渡到δ亚型的入院者。反映炎症、凝血和内皮功能障碍的纵向宿主反应生物标志物在δ-δ组的改变最大,其次是γ-δ组,与日期或生物标志物域无关:在两个大型队列中,亚型变为δ与较差的临床预后和更多反映炎症、凝血和内皮功能障碍的异常生物标志物有关。这些发现强调了监测败血症亚型及其相关宿主反应对改善预后和个性化治疗策略的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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