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伴有低血压或乳酸水平升高的脓毒症患者临床表型的识别

Identification of Clinical Phenotypes in Septic Patients Presenting With Hypotension or Elevated Lactate.

作者信息

Aldewereld Zachary T, Zhang Li Ang, Urbano Alisa, Parker Robert S, Swigon David, Banerjee Ipsita, Gómez Hernando, Clermont Gilles

机构信息

UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, United States.

Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, United States.

出版信息

Front Med (Lausanne). 2022 May 19;9:794423. doi: 10.3389/fmed.2022.794423. eCollection 2022.

Abstract

INTRODUCTION

Targeted therapies for sepsis have failed to show benefit due to high variability among subjects. We sought to demonstrate different phenotypes of septic shock based solely on clinical features and show that these relate to outcome.

METHODS

A retrospective analysis was performed of a 1,023-subject cohort with early septic shock from the ProCESS trial. Twenty-three clinical variables at baseline were analyzed using hierarchical clustering, with consensus clustering used to identify and validate the ideal number of clusters in a derivation cohort of 642 subjects from 20 hospitals. Clusters were visualized using heatmaps over 0, 6, 24, and 72 h. Clinical outcomes were 14-day all-cause mortality and organ failure pattern. Cluster robustness was confirmed in a validation cohort of 381 subjects from 11 hospitals.

RESULTS

Five phenotypes were identified, each with unique organ failure patterns that persisted in time. By enrollment criteria, all patients had shock. The two high-risk phenotypes were characterized by distinct multi-organ failure patterns and cytokine signatures, with the highest mortality group characterized most notably by liver dysfunction and coagulopathy while the other group exhibited primarily respiratory failure, neurologic dysfunction, and renal dysfunction. The moderate risk phenotype was that of respiratory failure, while low-risk phenotypes did not have a high degree of additional organ failure.

CONCLUSIONS

Sepsis phenotypes with distinct biochemical abnormalities may be identified by clinical characteristics alone and likely provide an opportunity for early clinical actionability and prognosis.

摘要

引言

由于个体之间存在高度变异性,脓毒症的靶向治疗未能显示出益处。我们试图仅基于临床特征来证明感染性休克的不同表型,并表明这些表型与预后相关。

方法

对来自ProCESS试验的1023例早期感染性休克患者队列进行回顾性分析。使用层次聚类分析了基线时的23个临床变量,并使用一致性聚类来识别和验证来自20家医院的642例受试者的衍生队列中的理想聚类数。使用0、6、24和72小时的热图对聚类进行可视化。临床结局为14天全因死亡率和器官衰竭模式。在来自11家医院的381例受试者的验证队列中确认了聚类的稳健性。

结果

识别出五种表型,每种表型都有随时间持续存在的独特器官衰竭模式。根据纳入标准,所有患者均患有休克。两种高风险表型的特征是独特的多器官衰竭模式和细胞因子特征,死亡率最高的组最显著的特征是肝功能障碍和凝血病,而另一组主要表现为呼吸衰竭、神经功能障碍和肾功能障碍。中度风险表型为呼吸衰竭,而低风险表型没有高度的额外器官衰竭。

结论

仅通过临床特征就可以识别出具有明显生化异常的脓毒症表型,这可能为早期临床可操作性和预后提供机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db7a/9160971/7fc7a9b6837e/fmed-09-794423-g0001.jpg

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