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      Performance of Modified Early Warning Score (MEWS) and Circulation, Respiration, Abdomen, Motor, and Speech (CRAMS) score in trauma severity and in-hospital mortality prediction in multiple trauma patients: a comparison study

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      PeerJ
      PeerJ Inc.
      Scoring system, MEWS, CRAMS, Multiple trauma

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          Abstract

          Background

          With an increasing number of motor vehicle crashes, there is an urgent need in emergency departments (EDs) to assess patients with multiple trauma quickly, easily, and reliably. Trauma severity can range from a minor to major threats to life or bodily function. In-hospital mortality and trauma severity prediction in such cases is crucial in the ED for the management of multiple trauma and improvement of the outcome of these patients. Previous studies have examined the performance of Modified Early Warning Score (MEWS) or Circulation, Respiration, Abdomen, Motor, and Speech (CRAMS) score based solely on mortality prediction or injury severity prediction. However, to the best of our knowledge, the performances of both scoring systems on in-hospital mortality and trauma severity prediction have not been compared previously. This retrospective study evaluated the value of MEWS and CRAMS score to predict in-hospital mortality and trauma severity in patients presenting to the ED with multiple traumatic injuries.

          Methods

          All study subjects were multiple trauma patients. Medical data of 1,127 patients were analyzed between January 2014 and April 2018. The MEWS and CRAMS score were calculated, and logistic regression and receiver operating characteristic curve analysis were conducted to investigate their performances regarding in-hospital mortality and trauma severity prediction.

          Results

          For in-hospital mortality prediction, the areas under the receiver operating characteristic curve (AUROCs) for MEWS and CRAMS score were 0.90 and 0.91, respectively, indicating that both of them were good in-hospital mortality predictors. Further, our study indicated that the CRAMS score performed better in trauma severity prediction, with an AUROC value of 0.84, which was higher than that of MEWS (AUROC = 0.77). For trauma severity prediction, the optimal cut-off value for MEWS was 2, while that of the CRAMS score was 8.

          Conclusions

          We found that both MEWS and CRAMS score can be used as predictors for trauma severity and in-hospital mortality for multiple trauma patients, but that CRAMS score was superior to MEWS for trauma severity prediction. CRAMS score should be prioritized in the prediction of trauma severity due to its excellence as a multiple trauma triage tool and potential contribution to rapid emergency rescue decisions.

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          Most cited references26

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          The Injury Severity Score Revisited

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            Rapid Emergency Medicine score: a new prognostic tool for in-hospital mortality in nonsurgical emergency department patients.

            To evaluate the predictive accuracy of the scoring system Rapid Acute Physiology score (RAPS) in nonsurgical patients attending the emergency department (ED) regarding in-hospital mortality and length of stay in hospital (LOS), and to investigate whether the predictive ability of RAPS could be improved by extending the system. Prospective cohort study. An adult ED of a 1200-bed university hospital. A total of 12 006 nonsurgical patients presenting to the ED during 12 consecutive months. For all entries to the ED, RAPS (including blood pressure, respiratory rate, pulse rate and Glasgow coma scale) was calculated. The RAPS system was extended by including the peripheral oxygen saturation and patient age (Rapid Emergency Medicine score, REMS) and this new score was calculated for each patient. The statistical associations between the two scoring systems and in-hospital mortality as well as LOS in hospital were examined. The REMS was superior to RAPS in predicting in-hospital mortality [area under receiver operating characteristic (ROC) curve 0.852 +/- 0.014 SEM for REMS compared with 0.652 +/- 0.019 for RAPS, P < 0.05]. An increase of 1-point in the 26-point REMS scale was associated with an OR of 1.40 for in-hospital death (95% CI: 1.36-1.45, P < 0.0001). Similar results were obtained in the major patient groups (chest pain, stroke, coma, dyspnoea and diabetes), in all age groups and in both sexes. The association between REMS and LOS was modest (r = 0.47, P = 0.0001). The REMS was a powerful predictor of in-hospital mortality in patients attending the ED over a wide range of common nonsurgical disorders.
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              Modified early warning score predicts the need for hospital admission and inhospital mortality.

              The modified early warning score (MEWS) is a useful tool for identifying hospitalised patients in need of a higher level of care and those at risk of inhospital death. Use of the MEWS as a triage tool to identify patients needing hospital admission and those at increased risk of inhospital death has been evaluated only to a limited extent. To evaluate the use of the MEWS as a triage tool to identify medical patients presenting to the emergency department who require admission to hospital and are at increased risk of inhospital death. Physiological parameters were collected from 790 medical patients presenting to the emergency department of a public hospital in Cape Town, South Africa. MEW scores were calculated from the data and multivariate regression analysis was performed to identify independent predictors of hospital admission and inhospital mortality. The proportion of patients admitted and those who died in hospital increased significantly as the MEW score increased (p or =130 beats per minute, respiratory rate > or =30 breaths per minute, temperature > or =38.5 degrees C and an impaired level of consciousness. Independent predictors of inhospital death were: abnormal systolic blood pressure ( or =200 mm Hg), respiratory rate > or =30 breaths per minute and an impaired level of consciousness. The MEWS, specifically five selected parameters, may be used as a rapid, simple triage method to identify medical patients in need of hospital admission and those at increased risk of inhospital death.
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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ Inc. (San Diego, USA )
                2167-8359
                25 June 2019
                2019
                : 7
                : e7227
                Affiliations
                [1 ]Emergency Department 1, Shanghai Ninth People’s Hospital, Shanghai JiaoTong University School of Medicine , Shanghai, China
                [2 ]Research into Artifacts, Center for Engineering (RACE), The University of Tokyo , Kashiwa, Chiba, Japan
                [3 ]Department of Urology, Shanghai Ninth People’s Hospital, Shanghai JiaoTong University School of Medicine , Shanghai, China
                Author information
                http://orcid.org/0000-0003-4120-415X
                Article
                7227
                10.7717/peerj.7227
                6598668
                31275766
                f4c8d067-61ae-40b6-861b-09461a469176
                © 2019 Jiang et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 14 December 2018
                : 30 May 2019
                Funding
                The authors received no funding for this work.
                Categories
                Emergency and Critical Care
                Evidence Based Medicine
                Health Policy
                Public Health

                scoring system,mews,crams,multiple trauma
                scoring system, mews, crams, multiple trauma

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