Identifying Transfusion Triggers in Trauma Patients and Developing the Vellore Trauma Transfusion Score: A Retrospective Cohort Study.

IF 2 Q3 CRITICAL CARE MEDICINE
Shaleen Das, Anten P Jonish, Rebekah Grace, Gayathri K Chellaiya, Dolly Daniel, Shona R Mathuram, Srujan L Sharma, D Joses James
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引用次数: 0

Abstract

Background and aims: Hemorrhage remains a leading cause of preventable mortality in trauma. Existing massive transfusion (MT) prediction scores are often context-specific and limited by resource availability. This study aimed to identify early transfusion predictors in a high-volume civilian trauma center and develop a simplified, locally applicable scoring system.

Patients and methods: This retrospective cohort study analyzed trauma registry data from a level 1 trauma center over 2 years (July 2022-July 2024). All trauma patients with an Injury Severity Score (ISS) ≥16 were included. Massive transfusion was defined using standard composite criteria. Clinical variables, imaging findings, and laboratory parameters were analyzed using logistic regression. Significant predictors were incorporated into a regression coefficient-based scoring system, and diagnostic performance was assessed using receiver operating characteristic (ROC) analysis.

Results: Among 687 patients, 36 (5.2%) required MT. On multivariable analysis, systolic blood pressure (SBP) ≤90 mm Hg [odds ratio (OR) = 8.15], heart rate (HR) >120 bpm (OR = 4.27), packed cell volume (PCV) ≤30 (OR = 3.76), base deficit (BD) ≥6 mmol/L (OR = 4.15), lactate ≥5 mmol/L (OR = 2.62), and mean arterial pressure (MAP) <70 mm Hg (OR = 8.81) were significant predictors (all p < 0.01). Arterial pH was not predictive. A model incorporating SBP, HR, and BD demonstrated good calibration and fair discrimination [area under the curve (AUC) = 0.753]. A simplified three-variable score demonstrated high sensitivity (98.5%) when two or more parameters were positive.

Conclusion: A concise combination of physiological and biochemical parameters can reliably predict the need for MT. The proposed trauma transfusion trigger offers a pragmatic, context-sensitive tool requiring prospective validation.

How to cite this article: Das S, Jonish AP, Grace R, Chellaiya GK, Daniel D, Mathuram SR, et al. Identifying Transfusion Triggers in Trauma Patients and Developing the Vellore Trauma Transfusion Score: A Retrospective Cohort Study. Indian J Crit Care Med 2026;30(8):673-678.

识别创伤患者的输血触发因素并制定Vellore创伤输血评分:一项回顾性队列研究。
背景和目的:出血仍然是创伤中可预防死亡的主要原因。现有的大规模输血(MT)预测评分通常是特定于环境的,并且受资源可用性的限制。本研究旨在确定高容量民用创伤中心的早期输血预测因素,并开发一种简化的、适用于当地的评分系统。患者和方法:这项回顾性队列研究分析了一家一级创伤中心2年(2022年7月至2024年7月)的创伤登记数据。所有损伤严重程度评分(ISS)≥16的创伤患者均被纳入研究。大规模输血是用标准的综合标准来定义的。使用逻辑回归分析临床变量、影像学表现和实验室参数。将显著预测因子纳入基于回归系数的评分系统,并使用受试者工作特征(ROC)分析评估诊断效果。结果:687例患者中,36例(5.2%)需要MT。多变量分析收缩压(SBP)≤90mmhg[优势比(OR) = 8.15],心率(HR) > 120bpm (OR = 4.27),堆积细胞体积(PCV)≤30 (OR = 3.76),基础缺陷(BD)≥6 mmol/L (OR = 4.15),乳酸≥5 mmol/L (OR = 2.62),平均动脉压(MAP) p < 0.01)。动脉pH值无预测作用。合并收缩压、HR和BD的模型显示出良好的校准和公平的区分[曲线下面积(AUC) = 0.753]。当两个或两个以上参数为阳性时,简化的三变量评分显示出高灵敏度(98.5%)。结论:一个简明的生理生化参数组合可以可靠地预测MT的需求。提出的创伤输血触发提供了一个实用的,上下文敏感的工具,需要前瞻性验证。如何引用本文:Das S, Jonish AP, Grace R, Chellaiya GK, Daniel D, Mathuram SR等。识别创伤患者的输血触发因素并制定Vellore创伤输血评分:一项回顾性队列研究。中华检验医学杂志,2009;30(8):673-678。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.50
自引率
10.00%
发文量
299
期刊介绍: Indian Journal of Critical Care Medicine (ISSN 0972-5229) is specialty periodical published under the auspices of Indian Society of Critical Care Medicine. Journal encourages research, education and dissemination of knowledge in the fields of critical and emergency medicine.
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