Exploring the impact of age on the predictive power of the National Early Warning score (NEWS) 2, and long-term prognosis among patients reviewed by a Rapid Response Team: A prospective, multi-centre study

探讨年龄对国家早期预警评分(NEWS)2预测能力以及快速反应小组评估的患者长期预后的影响:一项前瞻性多中心研究

阅读:1

Abstract

AIM: To explore the impact of age on the discriminative ability of the National Early Warning Score (NEWS) 2 in prediction of unanticipated Intensive Care Unit (ICU) admission, in-hospital cardiac arrest (IHCA) and mortality within 24 hours of Rapid Response Team (RRT) review. Furthermore, to investigate 30- and 90-day mortality, and the discriminative ability of NEWS 2 in prediction of long-term mortality among RRT-reviewed patients. METHODS: Prospective, multi-centre study based on 830 complete cases. Data was collected by RRTs in 24 hospitals between October 2019, and January 2020. All NEWS 2 scores were uniformly calculated by the study team. Age was analysed as a continuous variable, in a spline regression model, and categorized into five different models, subsequently explored as additive variables to NEWS 2. The discriminative ability of NEWS 2 was evaluated using the Area under the receiver operating characteristics (AUROC). RESULTS: The discriminative ability of NEWS 2 alone in predicting 30-day mortality was weak. Adding age as a covariate improved the predictive performance (AUROC 0.66, 0.62-0.70 to 0.70, 0.65-0.73, p = 0.01, 95 % Confidence Interval). There were differences across age groups, with the best discriminative ability identified among patients aged 45-54 years. The 30- and 90-day mortality was 31% and 33% respectively. RESULTS: Adding age as a covariate improved the discriminative ability of NEWS 2 in the prediction of 30-day mortality among RRT-reviewed patients, with variations observed across age categories. The long- term prognosis of RRT-reviewed patients was poor.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。