Índice de choque y capacidad para predecir el uso de transfusión masiva en una población con trauma grave en región toracoabdominal

Daniel Escobar Macías , Wesley Cardona Castro , Juan D. Jimenez , Samuel Correa , Carlos E. Vallejo
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Abstract

Introduction

Bleeding is one of the main causes of death associated with trauma. Massive transfusion (MT) is one of the mainstays of treatment, with decreased mortality demonstrated with early initiation of administration. There are multiple tools to activate MT protocols, among which is the shock index (CI), however, the cut-off point to define its activation is not clear. The objective of this study was to determine the diagnostic performance of IC to determine the need for MT in patients with severe trauma to the chest and/or abdomen.

Methodology

Cross sectional study. Patients with severe trauma were evaluated between the years 2017 to 2022. The incidence of MT was estimated and the CI of each patient with the first medical contact was calculated. Discrimination was assessed using AUC-ROC for receiving a MT.

Results

The cumulative MT incidence was 30.79% (n = 97); In patients who required MT the median CI was 1.2 (IQR: 0.6-1.8), while in patients who did not require MT it was 1 (IQR: 0.5-1.5). The cut-off point of 1.1 in the CI presented the best performance with an AUC-ROC 0.63 to predict the need for MT.

Conclusion

In the sample analyzed, the CI has a poor performance in predicting the need for MT, although it was observed that a higher CI is related to greater administration of MT, with an optimal cut-off point of 1.1 for our population.
腹部严重创伤患者的休克指数和预测大规模输血使用情况的能力
出血是创伤相关死亡的主要原因之一。大量输血(MT)是治疗的主要手段之一,早期开始给药可降低死亡率。有多种工具可以激活MT协议,其中包括冲击指数(shock index, CI),但定义其激活的截止点并不明确。本研究的目的是确定IC的诊断性能,以确定胸部和/或腹部严重创伤患者是否需要MT。方法:横断面研究。在2017年至2022年期间对严重创伤患者进行评估。估计MT的发生率,并计算每个患者首次医疗接触的CI。采用AUC-ROC对接受MT的患者进行鉴别评估。结果累计MT发生率为30.79% (n = 97);在需要MT的患者中,中位CI为1.2 (IQR: 0.6-1.8),而在不需要MT的患者中,中位CI为1 (IQR: 0.5-1.5)。CI中的分界点为1.1,AUC-ROC为0.63,在预测MT需求方面表现最佳。结论在分析的样本中,CI在预测MT需求方面表现不佳,尽管观察到较高的CI与更多的MT管理有关,我们的人群的最佳分界点为1.1。
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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