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                  <mods:namePart>Servià Goixart, Lluís</mods:namePart>
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                  <mods:namePart>Llompart-Pou, Juan Antonio</mods:namePart>
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                  <mods:namePart>Chico-Fernández, Mario</mods:namePart>
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                  <mods:namePart>Montserrat, Neus</mods:namePart>
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                  <mods:namePart>Badia Castello, Mariona</mods:namePart>
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                  <mods:namePart>Barea-Mendoza, Jesús Abelardo</mods:namePart>
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                  <mods:namePart>Ballesteros Sanz, María Ángeles</mods:namePart>
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                  <mods:namePart>Trujillano Cabello, Javier</mods:namePart>
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                  <mods:dateAccessioned encoding="iso8601">2024-12-05T21:42:22Z</mods:dateAccessioned>
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               <mods:identifier type="uri">http://hdl.handle.net/10459.1/72621</mods:identifier>
               <mods:abstract>Background : Severity scores are commonly used for outcome adjustment and benchmarking of trauma care provided. No specific models performed only with critically ill patients are available. Our objective was to develop a new score for early mortality prediction in trauma ICU patients.&#xd;
Methods: This is a retrospective study using the Spanish Trauma ICU registry (RETRAUCI) 2015–2019. Patients were divided and analysed into the derivation (2015–2017) and validation sets (2018–2019). We used as candidate variables to be associated with mortality those available in RETRAUCI that could be collected in the first 24 h after ICU admission. Using logistic regression methodology, a simple score (RETRASCORE) was created with points assigned to each selected variable. The performance of the model was carried out according to global measures, discrimination and calibration.&#xd;
Results: The analysis included 9465 patients: derivation set 5976 and validation set 3489. Thirty-day mortality was 12.2%. The predicted probability of 30-day mortality was determined by the following equation: 1/(1 + exp (− y)), where y = 0.598 (Age 50–65) + 1.239 (Age 66–75) + 2.198 (Age > 75) + 0.349 (PRECOAG) + 0.336 (Pre-hospital intubation) + 0.662 (High-risk mechanism) + 0.950 (unilateral mydriasis) + 3.217 (bilateral mydriasis) + 0.841 (Glasgow ≤ 8) + 0.495 (MAIS-Head) − 0.271 (MAIS-Thorax) + 1.148 (Haemodynamic failure) + 0.708 (Respiratory failure) + 0.567 (Coagulopathy) + 0.580 (Mechanical ventilation) + 0.452 (Massive haemorrhage) − 5.432. The AUROC was 0.913 (0.903–0.923) in the derivation set and 0.929 (0.918–0.940) in the validation set.&#xd;
Conclusions: The newly developed RETRASCORE is an early, easy-to-calculate and specific score to predict in-hospital mortality in trauma ICU patients. Although it has achieved adequate internal validation, it must be externally validated.RETRAUCI was supported by a grant for the development of an electronic web-based system awarded to Dr. Chico-Fernández (Fundación Mutua Madrileña, reference number AP117892013).</mods:abstract>
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               <mods:accessCondition type="useAndReproduction">cc-by (c) authors, 2021 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/</mods:accessCondition>
               <mods:subject>
                  <mods:topic>Trauma and injury severity score</mods:topic>
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               <mods:subject>
                  <mods:topic>Intensive care unit</mods:topic>
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               <mods:subject>
                  <mods:topic>Mortality</mods:topic>
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               <mods:subject>
                  <mods:topic>Prognostic scoring systems</mods:topic>
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                  <mods:title>Development of a new score for early mortality prediction in trauma ICU patients: RETRASCORE</mods:title>
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