Research Center for Emergency Medicine, Emergency Department and Department of Clinical Medicine, Aarhus University Hospital and Aarhus University, Palle Juul-Jensens Boulevard 99, J103, 8200, Aarhus N, Denmark.
Department of Emergency medicine, Aarhus University hospital, Aarhus, Denmark.
Scand J Trauma Resusc Emerg Med. 2020 Apr 10;28(1):26. doi: 10.1186/s13049-020-00720-1.
Early warning scores (EWS) are widely used in emergency departments and on general wards to detect critical illness and deterioration. TOKS ("Tidlig Opsporing af Kritisk Sygdom") is an early warning score used in Central Denmark Region to monitor hospitalized patients. The objective of this study is to investigate whether inclusion of supplement in the TOKS algorithm (modified TOKS; mTOKS), would improve the ability to predict 7-day mortality. Secondarily, we compare the discriminatory ability between TOKS, mTOKS and the National Early Warning Score (NEWS).
This is a prediction study including a cohort of adult patients who attended an emergency department in Central Denmark Region during a 3-month period in 2015. The discriminatory ability of TOKS, mTOKS and NEWS was evaluated by calculating the area under the receiver operating characteristics- curve (AUROC) with 7-day mortality as outcome. mTOKS was defined by adding 2 points for oxygen supplement to the normal TOKS score.
18.853 patients were included. AUROC for TOKS: 0,78 (95%-CI: 0,76-0,81). AUROC for mTOKS: 0,81 (95 %-CI: 0,78-0,83). AUROC for NEWS: 0,83 (95%-CI: 0,80-0,85). The predictive ability of all three early warning scores are statistically significantly different from each other (p-value < 0,01).
The discriminatory ability of TOKS improved statistically by including oxygen supplement. All models showed moderate to good discriminatory ability.
预警评分(EWS)广泛应用于急诊科和普通病房,以检测危急疾病和病情恶化。TOKS(“Tidlig Opsporing af Kritisk Sygdom”)是丹麦中部地区用于监测住院患者的预警评分。本研究旨在探讨 TOKS 算法中增加补充指标(改良 TOKS;mTOKS)是否能提高预测 7 天死亡率的能力。其次,我们比较了 TOKS、mTOKS 和国家预警评分(NEWS)之间的判别能力。
这是一项预测性研究,纳入了 2015 年三个月期间在丹麦中部地区急诊科就诊的成年患者队列。以 7 天死亡率为结局,通过计算接收者操作特征曲线下的面积(AUROC)来评估 TOKS、mTOKS 和 NEWS 的判别能力。mTOKS 通过在正常 TOKS 评分上增加 2 分来定义氧气补充。
共纳入 18853 例患者。TOKS 的 AUROC:0.78(95%CI:0.76-0.81)。mTOKS 的 AUROC:0.81(95%CI:0.78-0.83)。NEWS 的 AUROC:0.83(95%CI:0.80-0.85)。所有三种预警评分的预测能力均显著不同(p 值<0.01)。
通过纳入氧气补充,TOKS 的判别能力在统计学上得到了提高。所有模型均显示出中等至良好的判别能力。