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. 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. 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. 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.

中文翻译：

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开发用于创伤 ICU 患者早期死亡率预测的新评分：RETRASCORE

严重程度评分通常用于对所提供的创伤护理进行结果调整和基准测试。没有仅针对危重患者进行的特定模型可用。我们的目标是为创伤 ICU 患者的早期死亡率预测开发一个新评分。这是一项使用西班牙创伤 ICU 登记处 (RETRAUCI) 2015-2019 的回顾性研究。患者被划分并分析为推导（2015-2017）和验证集（2018-2019）。我们使用 RETRAUCI 中可用的与死亡率相关的候选变量，这些变量可在 ICU 入院后的前 24 小时内收集。使用逻辑回归方法，创建了一个简单的分数（RETRASCORE），并为每个选定的变量分配了点。该模型的性能是根据全局测量、判别和校准进行的。分析包括 9465 名患者：推导集 5976 和验证集 3489。30 天死亡率为 12.2%。30 天死亡率的预测概率由以下等式确定：1/(1 + exp (- y))，其中 y = 0.598（50-65 岁）+ 1.239（66-75 岁）+ 2.198（年龄 > 75) + 0.349 (PRECOAG) + 0.336 (院前插管) + 0.662 (高危机制) + 0.950 (单侧散瞳) + 3.217 (双侧散瞳) + 0.841 (Glasgow ≤ 8) + 0.495 (MAIS-Head) - 0.271（MAIS-胸部）+ 1.148（血流动力学衰竭）+ 0.708（呼吸衰竭）+ 0.567（凝血障碍）+ 0.580（机械通气）+ 0.452（大出血）- 5.432。推导集中的 AUROC 为 0.913 (0.903–0.923)，验证集中的 AUROC 为 0.929 (0.918–0.940)。新开发的 RETRASCORE 是早期的，易于计算和具体的评分来预测创伤 ICU 患者的住院死亡率。虽然它已经实现了充分的内部验证，但它必须经过外部验证。