Performance of 21 Early Warning System scores in predicting in-hospital deterioration among undifferentiated admitted patients managed by ambulance services.

IF 2.7 3区 医学 Q1 EMERGENCY MEDICINE
Gigi Guan, Crystal Man Ying Lee, Stephen Begg, Angela Crombie, George Mnatzaganian
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引用次数: 0

Abstract

Background: The optimal Early Warning System (EWS) scores for identifying patients at risk of clinical deterioration among those transported by ambulance services remain uncertain. This retrospective study compared the performance of 21 EWS scores to predict clinical deterioration using vital signs (VS) measured in the prehospital or emergency department (ED) setting.

Methods: Adult patients transported to a single ED by ambulances and subsequently admitted to the hospital between 1 January 2019 and 18 April 2019 were eligible for inclusion. The primary outcome was 30-day mortality; secondary outcomes included 3-day mortality, admission to intensive care or coronary care units, length of hospital stay and emergency call activations. The discriminative ability of the EWS scores was assessed using the area under the receiver operating characteristic curve (AUROC). Subanalyses compared the performance of EWS scores between surgical and medical patient types.

Results: Of 1414 patients, 995 (70.4%) (53.1% male, mean age 68.7±17.5 years) were included. In the ED setting, 30-day mortality was best predicted by VitalPAC EWS (AUROC 0.71, 95% CI (0.65 to 0.77)) and National Early Warning Score (0.709 (0.65 to 0.77)). All EWS scores calculated in the prehospital setting had AUROC <0.70. Rapid Emergency Medicine Score (0.83 (0.73 to 0.92)) and New Zealand EWS (0.88 (0.81 to 0.95)) best predicted 3-day mortality in the prehospital and ED settings, respectively. EWS scores calculated using either prehospital or ED VS were more effective in predicting 3-day mortality in surgical patients, whereas 30-day mortality was best predicted in medical patients. Among the EWS scores that achieved AUROC ≥0.70, no statistically significant differences were detected in their discriminatory abilities to identify patients at risk of clinical deterioration.

Conclusions: EWS scores better predict 3-day as opposed to 30-day mortality and are more accurate when estimated using VS measured in the ED. The discriminatory performance of EWS scores in identifying patients at higher risk of clinical deterioration may vary by patient type.

21 项早期预警系统评分在预测救护车服务管理的无差别住院病人院内病情恶化方面的表现。
背景:早期预警系统(EWS)用于识别救护车运送的有临床恶化风险的患者的最佳评分仍不确定。这项回顾性研究利用院前或急诊科(ED)环境中测量的生命体征(VS),比较了 21 个 EWS 评分预测临床恶化的性能:2019年1月1日至2019年4月18日期间,由救护车送往单一急诊科并随后入院的成人患者均符合纳入条件。主要结果为 30 天死亡率;次要结果包括 3 天死亡率、入住重症监护室或冠心病监护室、住院时间和紧急呼叫启动次数。EWS评分的判别能力采用接收者操作特征曲线下面积(AUROC)进行评估。子分析比较了 EWS 评分在外科和内科患者类型之间的表现:在 1414 名患者中,995 人(70.4%)(53.1% 为男性,平均年龄为 68.7±17.5 岁)被纳入其中。在急诊室环境中,VitalPAC EWS(AUROC 0.71,95% CI (0.65 to 0.77))和国家预警评分(0.709 (0.65 to 0.77))最能预测 30 天死亡率。在院前环境中计算的所有 EWS 分数均具有 AUROC 结论:与 30 天死亡率相比,EWS 评分能更好地预测 3 天死亡率,而且在使用急诊室测量的 VS 估算时更为准确。EWS 评分在识别临床恶化风险较高的患者方面的鉴别性能可能因患者类型而异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Emergency Medicine Journal
Emergency Medicine Journal 医学-急救医学
CiteScore
4.40
自引率
6.50%
发文量
262
审稿时长
3-8 weeks
期刊介绍: The Emergency Medicine Journal is a leading international journal reporting developments and advances in emergency medicine and acute care. It has relevance to all specialties involved in the management of emergencies in the hospital and prehospital environment. Each issue contains editorials, reviews, original research, evidence based reviews, letters and more.
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