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对早期预警系统的综述,以快速检测有临床恶化风险的患者。

A review of early warning systems for prompt detection of patients at risk for clinical decline.

机构信息

From the Prescient Healthcare Consulting, LLC (A.A.K.), Charlottesville, Virginia; Mercy Medical Center (F.S.), Redding, California; and Rutgers-Robert Wood Johnson Medical School (M.L.), New Brunswick, New Jersey.

出版信息

J Trauma Acute Care Surg. 2019 Jul;87(1S Suppl 1):S67-S73. doi: 10.1097/TA.0000000000002197.

Abstract

Early Warning Scores (EWS) are a composite evaluation of a patient's basic physiology, changes of which are the first indicators of clinical decline and are used to prompt further patient assessment and when indicated intervention. These are sometimes referred to as "track and triggers systems" with tracking meant to denote periodic observation of physiology and trigger being a predetermined response criteria. This review article examines the most widely used EWS, with special attention paid to those used in military and trauma populations.The earliest EWS is the Modified Early Earning Score (MEWS). In MEWS, points are allocated to vital signs based on their degree of abnormality, and summed to yield an aggregate score. A score above a threshold would elicit a clinical response such as a rapid response team. Modified Early Earning Score was subsequently followed up with the United Kingdom's National Early Warning Score, the electronic cardiac arrest triage score, and the 10 Signs of Vitality score, among others.Severity of illness indicators have been in military and civilian trauma populations, such as the Revised Trauma Score, Injury Severity Score, and Trauma and Injury Severity. The sequential organ failure assessment score and its attenuated version quick sequential organ failure assessment were developed to aggressively identify patients near septic shock.Effective EWS have certain characteristics. First, they should accurately capture vital signs information. Second, almost all data should be derived electronically rather than manually. Third, the measurements should take into consideration multiple organ systems. Finally, information that goes into an EWS must be captured in a timely manner. Future trends include the use of machine learning to detect subtle changes in physiology and the inclusion of data from biomarkers. As EWS improve, they will be more broadly used in both military and civilian environments. LEVEL OF EVIDENCE: Review article, level I.

摘要

早期预警评分(EWS)是对患者基本生理状况的综合评估,其变化是临床恶化的最初指标,用于提示进一步的患者评估和必要时的干预。这些评分有时被称为“跟踪和触发系统”,其中跟踪是指定期观察生理变化,触发是指预先设定的响应标准。本文回顾了最广泛使用的 EWS,并特别关注了在军事和创伤人群中使用的 EWS。最早的 EWS 是改良早期预警评分(MEWS)。在 MEWS 中,根据生命体征的异常程度为其分配分数,并将分数相加得出总分。总分超过阈值会引发临床反应,例如快速反应小组。随后,英国的国家早期预警评分、电子心脏骤停分诊评分和 10 项活力评分等相继出现。严重疾病的指标在军事和民用创伤人群中也得到了应用,例如修订创伤评分、损伤严重度评分和创伤与损伤严重度评分。序贯器官衰竭评估评分及其衰减版本快速序贯器官衰竭评估评分的开发是为了积极识别接近感染性休克的患者。有效的 EWS 具有某些特征。首先,它们应该准确捕捉生命体征信息。其次,几乎所有数据都应该通过电子方式而不是手动方式获取。第三,测量应考虑多个器官系统。最后,进入 EWS 的信息必须及时捕获。未来的趋势包括使用机器学习来检测生理变化的细微变化,并纳入生物标志物的数据。随着 EWS 的改进,它们将在军事和民用环境中得到更广泛的应用。证据水平:综述文章,一级。

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