Department of Computer Science, Johns Hopkins University, Malone Hall, 3400 N Charles Street, Baltimore, MD 21218, USA.
Division of Pulmonary, Allergy and Critical Care, Hospital of the University of Pennsylvania, 5 West Gates Building, 5048, 3400 Spruce Street, Philadelphia, PA 19104, USA.
Crit Care Clin. 2024 Jul;40(3):561-581. doi: 10.1016/j.ccc.2024.03.007. Epub 2024 Apr 20.
Early warning systems (EWSs) are designed and deployed to create a rapid assessment and response for patients with clinical deterioration outside the intensive care unit (ICU). These models incorporate patient-level data such as vital signs and laboratory values to detect or prevent adverse clinical events, such as vital signs and laboratories to allow detection and prevention of adverse clinical events such as cardiac arrest, intensive care transfer, or sepsis. The applicability, development, clinical utility, and general perception of EWS in clinical practice vary widely. Here, we review the field as it has grown from early vital sign-based scoring systems to contemporary multidimensional algorithms and predictive technologies for clinical decompensation outside the ICU.
预警系统 (EWS) 旨在为重症监护病房 (ICU) 外出现临床恶化的患者进行快速评估和响应。这些模型结合了患者层面的数据,如生命体征和实验室值,以检测或预防不良临床事件,如心跳骤停、转入重症监护病房或脓毒症等。EWS 在临床实践中的适用性、开发、临床实用性和普遍认知差异很大。在这里,我们回顾了这个领域的发展历程,从早期基于生命体征的评分系统到当代 ICU 外临床失代偿的多维算法和预测技术。