• Scott M Alter, Allison Infinger, Doug Swanson, and Jonathan R Studnek.
• Carolinas Medical Center, Department of Emergency Medicine, Charlotte, NC, United States.
• Am J Emerg Med. 2017 Feb 1; 35 (2): 218-221.

IntroductionThe Rapid Emergency Medicine Score (REMS) was developed to predict emergency department patient mortality. Our objective was to utilize REMS to assess initial patient acuity and evaluate clinical change during prehospital care.MethodsAll non-cardiac arrest emergency transports from April 1, 2013 to March 31, 2014 were analyzed from a single EMS agency. Using age, pulse rate, mean arterial pressure, respiratory rate, oxygen saturation, and Glasgow Coma Scale, initial and final REMS were calculated. Change in REMS was calculated by initial minus final with a positive number indicating clinical improvement. Descriptive analyses were performed calculating means and 95% confidence intervals.ResultsThere were 61,346 patients analyzed with an average initial REMS of 4.3 (95% CI: 4.2-4.3) and an average REMS change of 0.37 (95% CI: 0.36-0.38). Those patients classified with the highest dispatch priority had the highest initial REMS (5.8; 95% CI: 5.5-6.2) and the greatest change (0.95; 95% CI: 0.72-1.17). Patients transported with high priority had greater initial REMS, as well as greater improvement in REMS (high priority 7.3 [95% CI: 7.1-7.4], change 0.61 [95% CI: 0.53-0.69]; middle priority 5.3 [95% CI: 5.2-5.4], change 0.55 [95% CI: 0.51-0.59]; low priority 3.9 [95% CI: 3.8-3.9], change 0.32 [95% CI: 0.31-0.33]).ConclusionDescriptive analyses indicate that as dispatch and transport priorities increased in severity so too did initial REMS. The largest change in REMS was seen in patients with the highest dispatch and transport priorities. This indicates that REMS may provide system level insight into evaluating clinical changes during care.Copyright © 2016 Elsevier Inc. All rights reserved.

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