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脓毒症监测与急诊治疗对患者死亡率影响的调查:一项观察性队列研究。

An investigation of sepsis surveillance and emergency treatment on patient mortality outcomes: An observational cohort study.

作者信息

Amland Robert C, Sutariya Bharat B

机构信息

Population Health, Cerner Corporation, Kansas City, Missouri, USA.

出版信息

JAMIA Open. 2018 May 15;1(1):107-114. doi: 10.1093/jamiaopen/ooy013. eCollection 2018 Jul.

Abstract

OBJECTIVE

To determine the prevalence of initiating the sepsis 3-h bundle of care and estimate effects of bundle completion on risk-adjusted mortality among emergency department (ED) patients screened-in by electronic surveillance.

MATERIALS AND METHODS

This was a multiple center observational cohort study conducted in 2016. The study population was comprised of patients screened-in by St. John Sepsis Surveillance Agent within 4 h of ED arrival, had a sepsis bundle initiated, and admitted to hospital. We built multivariable logistic regression models to estimate impact of a 3-h bundle completed within 3 h of arrival on mortality outcomes.

RESULTS

Approximately 3% ED patients were screened-in by electronic surveillance within 4 h of arrival and admitted to hospital. Nearly 7 in 10 (69%) patients had a bundle initiated, with most bundles completed within 3 h of arrival. The fully-adjusted risk model achieved good discrimination on mortality outcomes [area under the receiver operating characteristic 0.82, 95% confidence interval (CI) 0.79-0.85] and estimated 34% reduced mortality risk among patients with a bundle completed within 3 h of arrival compared to non-completers.

DISCUSSION

The sepsis bundle is an effective intervention for many vulnerable patients, and likely to be completed within 3 h after arrival when electronic surveillance with reliable alert notifications are integrated into clinical workflow. Beginning at triage, the platform and sepsis program enables identification and management of patients with greater precision, and increases the odds of good outcomes.

CONCLUSION

Sepsis surveillance and clinical decision support accelerate accurate recognition and stratification of patients, and facilitate timely delivery of health care.

摘要

目的

确定启动脓毒症3小时集束化治疗的发生率,并评估集束化治疗完成对通过电子监测筛查入急诊科(ED)患者的风险调整死亡率的影响。

材料与方法

这是一项于2016年进行的多中心观察性队列研究。研究人群包括在到达ED后4小时内被圣约翰脓毒症监测代理筛查入、启动了脓毒症集束化治疗并入院的患者。我们构建了多变量逻辑回归模型,以估计在到达后3小时内完成3小时集束化治疗对死亡率结局的影响。

结果

约3%的ED患者在到达后4小时内通过电子监测筛查入并入院。近十分之七(69%)的患者启动了集束化治疗,大多数集束化治疗在到达后3小时内完成。完全调整后的风险模型在死亡率结局方面具有良好的区分度[受试者操作特征曲线下面积为0.82,95%置信区间(CI)为0.79 - 0.85],并估计与未完成集束化治疗的患者相比,在到达后3小时内完成集束化治疗的患者死亡率风险降低34%。

讨论

脓毒症集束化治疗对许多脆弱患者是一种有效的干预措施,当将具有可靠警报通知的电子监测整合到临床工作流程中时,很可能在到达后三小时内完成。从分诊开始,该平台和脓毒症项目能够更精确地识别和管理患者,并增加良好结局的几率。

结论

脓毒症监测和临床决策支持可加速对患者的准确识别和分层,并促进及时提供医疗保健。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e250/6951936/3c12a5bed12f/ooy013f1.jpg

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