ArticleCritical care (London, England)2021
Development of a new score for early mortality prediction in trauma ICU patients: RETRASCORE.
Article in Critical care (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- Hybrid model based on fuzzy logic and classification trees for the prediction of mortality of critical trauma patients: Pre-hospital variables from the RETRAUCI registry.BMC medical research methodology · 2026Article
- Early prediction and warning of MODS following major trauma via identification of cytokine storm: A prospective cohort study.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2025Article
- Early prediction of mortality upon intensive care unit admission.BMC medical informatics and decision making · 2024Article
- Body composition parameters in initial CT imaging of mechanically ventilated trauma patients: Single-centre observational study.Journal of cachexia, sarcopenia and muscle · 2024Observational
- Traumatic inflammatory response: pathophysiological role and clinical value of cytokines.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024Review
- Epidemiology of severe trauma in Navarra for 10 years: out-of-hospital/ in-hospital deaths and survivors.BMC emergency medicine · 2023Article
- Developing an Interpretable Machine Learning Model to Predict in-Hospital Mortality in Sepsis Patients: A Retrospective Temporal Validation Study.Journal of clinical medicine · 2023Article
- Score-based prediction model for severe vitamin D deficiency in patients with critical illness: development and validation.Critical care (London, England) · 2022Article
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9 authors.
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Abstract
backgroundSeverity 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.
methodsThis 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.
resultsThe 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.
conclusionsThe 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.
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