Suppr超能文献

基于脓毒症患者生长轨迹定义持续性危重病。

Defining persistent critical illness based on growth trajectories in patients with sepsis.

作者信息

Zhang Zhongheng, Ho Kwok M, Gu Hongqiu, Hong Yucai, Yu Yunsong

机构信息

Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China.

Department of intensive care Medicine, Royal Perth Hospital, School of Population & Global Health, University of Western Australia, Crawley, Australia.

出版信息

Crit Care. 2020 Feb 18;24(1):57. doi: 10.1186/s13054-020-2768-z.

Abstract

BACKGROUND

Persistent critical illness is common in critically ill patients and is associated with vast medical resource use and poor clinical outcomes. This study aimed to define when patients with sepsis would be stabilized and transitioned to persistent critical illness, and whether such transition time varies between latent classes of patients.

METHODS

This was a retrospective cohort study involving sepsis patients in the eICU Collaborative Research Database. Persistent critical illness was defined at the time when acute physiological characteristics were no longer more predictive of in-hospital mortality (i.e., vital status at hospital discharge) than antecedent characteristics. Latent growth mixture modeling was used to identify distinct trajectory classes by using Sequential Organ Failure Assessment score measured during intensive care unit stay as the outcome, and persistent critical illness transition time was explored in each latent class.

RESULTS

The mortality was 16.7% (3828/22,868) in the study cohort. Acute physiological model was no longer more predictive of in-hospital mortality than antecedent characteristics at 15 days after intensive care unit admission in the overall population. Only a minority of the study subjects (n = 643, 2.8%) developed persistent critical illness, but they accounted for 19% (15,834/83,125) and 10% (19,975/198,833) of the total intensive care unit and hospital bed-days, respectively. Five latent classes were identified. Classes 1 and 2 showed increasing Sequential Organ Failure Assessment score over time and transition to persistent critical illness occurred at 16 and 27 days, respectively. The remaining classes showed a steady decline in Sequential Organ Failure Assessment scores and the transition to persistent critical illness occurred between 6 and 8 days. Elevated urea-to-creatinine ratio was a good biochemical signature of persistent critical illness.

CONCLUSIONS

While persistent critical illness occurred in a minority of patients with sepsis, it consumed vast medical resources. The transition time differs substantially across latent classes, indicating that the allocation of medical resources should be tailored to different classes of patients.

摘要

背景

持续性危重病在重症患者中很常见,与大量医疗资源的使用和不良临床结局相关。本研究旨在确定脓毒症患者何时病情稳定并转变为持续性危重病,以及这种转变时间在不同潜在类别患者之间是否存在差异。

方法

这是一项回顾性队列研究,纳入了eICU协作研究数据库中的脓毒症患者。当急性生理特征对住院死亡率(即出院时的生命状态)的预测能力不再高于先前特征时,定义为持续性危重病。使用潜在增长混合模型,以重症监护病房住院期间测得的序贯器官衰竭评估(SOFA)评分作为结局来识别不同的轨迹类别,并在每个潜在类别中探索持续性危重病的转变时间。

结果

研究队列中的死亡率为16.7%(3828/22868)。在总体人群中,重症监护病房入院15天后,急性生理模型对住院死亡率的预测能力不再高于先前特征。只有少数研究对象(n = 643,2.8%)发展为持续性危重病,但他们分别占重症监护病房总住院天数的19%(15834/83125)和医院总床位天数的10%(19975/198833)。识别出五个潜在类别。类别1和类别2的SOFA评分随时间增加,分别在第16天和第27天转变为持续性危重病。其余类别显示SOFA评分稳步下降,转变为持续性危重病发生在第6至8天之间。尿素与肌酐比值升高是持续性危重病的良好生化标志。

结论

虽然持续性危重病发生在少数脓毒症患者中,但消耗了大量医疗资源。不同潜在类别之间的转变时间差异很大,这表明医疗资源的分配应根据不同类别的患者进行调整。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07c6/7029548/7dd1dda92128/13054_2020_2768_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验