Zadravecz Frank J, Tien Linda, Robertson-Dick Brian J, Yuen Trevor C, Twu Nicole M, Churpek Matthew M, Edelson Dana P
Section of Hospital Medicine, University of Chicago, Chicago, Illinois.
Pritzker School of Medicine, University of Chicago, Chicago, Illinois.
J Hosp Med. 2015 Oct;10(10):658-63. doi: 10.1002/jhm.2415. Epub 2015 Sep 16.
Altered mental status is a significant predictor of mortality in inpatients. Several scales exist to characterize mental status, including the AVPU (Alert, responds to Voice, responds to Pain, Unresponsive) scale, which is used in many early-warning scores in the general-ward setting. The use of the Glasgow Coma Scale (GCS) and Richmond Agitation Sedation Scale (RASS) is not well established in this population.
To compare the accuracies of AVPU, GCS, and RASS for predicting inpatient mortality.
Retrospective cohort study.
Single, urban, academic medical center.
Adult inpatients on the general wards.
Nurses recorded GCS and RASS on consecutive adult hospitalizations. AVPU was extracted from the eye subscale of the GCS. We compared the accuracies of each scale for predicting in-hospital mortality within 24 hours of a mental-status observation using area under the receiver operating characteristic curves (AUC).
There were 295,974 paired observations of GCS and RASS obtained from 26,873 admissions; 417 (1.6%) resulted in in-hospital death. GCS and RASS more accurately predicted mortality than AVPU (AUC 0.80 and 0.82, respectively, vs 0.73; P < 0.001 for both comparisons). Simultaneous use of GCS and RASS produced an AUC of 0.85 (95% confidence interval: 0.82-0.87, P < 0.001 when compared to all 3 scales).
In ward patients, both GCS and RASS were significantly more accurate predictors of mortality than AVPU. In addition, combining GCS and RASS was more accurate than any scale alone. Routine tracking of GCS and/or RASS on general wards may improve the accuracy of detecting clinical deterioration.
意识状态改变是住院患者死亡率的重要预测指标。有多种量表可用于描述意识状态,包括AVPU(清醒、对声音有反应、对疼痛有反应、无反应)量表,该量表用于普通病房的许多早期预警评分中。格拉斯哥昏迷量表(GCS)和里士满躁动镇静量表(RASS)在这一人群中的应用尚未得到充分确立。
比较AVPU、GCS和RASS预测住院患者死亡率的准确性。
回顾性队列研究。
单一的城市学术医疗中心。
普通病房的成年住院患者。
护士在连续的成人住院期间记录GCS和RASS。AVPU从GCS的眼部子量表中提取。我们使用受试者工作特征曲线下面积(AUC)比较了每种量表在意识状态观察后24小时内预测院内死亡率的准确性。
从26873例入院患者中获得了295974对GCS和RASS的观察数据;417例(1.6%)导致院内死亡。GCS和RASS比AVPU更准确地预测死亡率(AUC分别为0.80和0.82,而AVPU为0.73;两种比较的P值均<0.001)。同时使用GCS和RASS产生的AUC为0.85(95%置信区间:0.82 - 0.87,与所有三种量表比较时P<0.001)。
在病房患者中,GCS和RASS预测死亡率的准确性均显著高于AVPU。此外,将GCS和RASS结合使用比单独使用任何一种量表都更准确。在普通病房常规跟踪GCS和/或RASS可能会提高检测临床病情恶化的准确性。