Rapid Emergency Medicine Score (REMS) in the trauma population: a retrospective study

被引:53
作者
Imhoff, Bryan F. [1 ]
Thompson, Nia J. [1 ]
Hastings, Michael A. [2 ]
Nazir, Niaman [3 ]
Moncure, Michael [4 ]
Cannon, Chad M. [5 ]
机构
[1] Univ Kansas, Sch Med, Kansas City, KS USA
[2] Dell Childrens Med Cent Cent Texas, Dept Trauma Serv, Austin, TX USA
[3] Univ Kansas Hosp, Dept Prevent Med & Publ Hlth, Kansas City, KS USA
[4] Univ Kansas Hosp, Dept Surg, Kansas City, KS USA
[5] Univ Kansas Hosp, Dept Emergency Med, Kansas City, KS 66160 USA
关键词
INJURY SEVERITY SCORE; DEPARTMENT PATIENTS; MAJOR TRAUMA; OCCULT HYPOPERFUSION; SHOCK INDEX; APACHE-II; MORTALITY; PREDICT; LACTATE;
D O I
10.1136/bmjopen-2013-004738
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective: Rapid Emergency Medicine Score (REMS) is an attenuated version of the Acute Physiology and Chronic Health Evaluation (APACHE) II score and has utility in predicting mortality in non-surgical patients, but has yet to be tested among the trauma population. The objective was to evaluate REMS as a risk stratification tool for predicting in-hospital mortality in traumatically injured patients and to compare REMS accuracy in predicting mortality to existing trauma scores, including the Revised Trauma Score (RTS), Injury Severity Score (ISS) and Shock Index (SI). Design and setting: Retrospective chart review of the trauma registry from an urban academic American College of Surgeons (ACS) level 1 trauma centre. Participants: 3680 patients with trauma aged 14 years and older admitted to the hospital over a 4-year period. Patients transferred from other hospitals were excluded from the study as were those who suffered from burn or drowning-related injuries. Patients with vital sign documentation insufficient to calculate an REMS score were also excluded. Primary outcome measures: The predictive ability of REMS was evaluated using ORs for in-hospital mortality. The discriminate power of REMS, RTS, ISS and SI was compared using the area under the receiver operating characteristic curve. Results: Higher REMS was associated with increased mortality (p<0.0001). An increase of 1 point in the 26-point REMS scale was associated with an OR of 1.51 for in-hospital death (95% CI 1.45 to 1.58). REMS (area under the curve (AUC) 0.91 +/- 0.02) was found to be similar to RTS (AUC 0.89 +/- 0.04) and superior to ISS (AUC 0.87 +/- 0.01) and SI (AUC 0.55 +/- 0.31) in predicting in-hospital mortality. Conclusions: In the trauma population, REMS appears to be a simple, accurate predictor of in-hospital mortality. While REMS performed similarly to RTS in predicting mortality, it did outperform other traditionally used trauma scoring systems, specifically ISS and SI.
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