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Development and validation of a new simplified anatomic trauma mortality score

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Development and validation of a new simplified anatomic trauma mortality score.pdf (911.63 KB)

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2019

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Elsevier Sci Ltd

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Background: Most trauma mortality prediction scores are complex in nature. GAP (Glasgow Coma Scale, Age, Systolic blood pressure) and mGAP (mechanism, Glasgow Coma Scale, Age, Systolic blood pressure) scores are relatively simple scoring tools. However, these scores were not validated in low and middle income countries including Malaysia and its accuracies are influenced by the fluctuating physiologic parameters. This study aims to develop a relevant simplified anatomic trauma scoring system for the local trauma patients in Malaysia. Method: A total of 3825 trauma patients from 2011 to 2016 were extracted from the Hospital Sultanah Aminah Trauma Surgery Registry. Patients were split into a development sample (n = 2683) and a validation sample (n = 1142). Univariate analysis is applied to identify significant anatomic predictors. These predictors were further analyzed using multivariable logistic regression to develop the new score and compared to existing score systems. The quality of prediction was determined regarding discrimination using sensitivity, specificity and receiver operating characteristic [ROC] curve. Results: Existing simplified score systems (GAP & mGAP) revealed areas under the ROC curve of 0.825 and 0.806. The newly developed HeCLLiP (Head, cervical spine, lung, liver, pelvic fracture) score combines only five anatomic components: injury involving head, cervical spine, lung, liver and pelvic bone. The probabilities of mortality can be estimated by charting the total score points onto a graph chart or using the cut-off value of (>2) with a sensitivity of 79.2 and specificity of 70.6% on the validation dataset. The HeCLLiP score achieved comparable values of 0.802 for the area under the ROC curve in validation samples. Conclusion: HeCLLiP Score is a simplified anatomic score suited to the local Malaysian population with a good predictive ability for trauma mortality. (C) 2019 Elsevier Ltd. All rights reserved.

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Injury Volume 50, Issue 5, May 2019, Pages 1125-1132

Keywords

Mortality, Trauma severity indices, Trauma, Prognosis

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https://www.clinicalkey.com/#!/content/playContent/1-s2.0-S0020138319300270?returnurl=null&referrer=null
 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060352371&doi=10.1016%2fj.injury.2019.01.027&partnerID=40&md5=c526ad5f00409e47e210e08dcdb5d31a
 https://www.sciencedirect.com/science/article/abs/pii/S0020138319300270?via%3Dihub
 https://oarep.usim.edu.my/handle/123456789/11864

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