Development of Prehospital Factors for Predicting Massive Blood Transfusion in Trauma Patients

{"title":"Development of Prehospital Factors for Predicting Massive Blood Transfusion in Trauma Patients","authors":"","doi":"10.35755/jmedassocthai.2023.08.13874","DOIUrl":null,"url":null,"abstract":"Background: Massive blood loss is the primary cause of immediate death in trauma patients. In prehospital care, where laboratory and investigation resources are limited, a massive blood transfusion (MBT) scoring system could activate blood bank preparation of blood components and facilitate EMS decision-making regarding the appropriate trauma center destination. This is particularly significant in urban environments where motor vehicle accidents are highly prevalent.\n\nMaterials and Methods: A retrospective cohort study was conducted using data from prehospital trauma patients. Predictive parameters, including vital signs, mechanism of injury, and serious injury body parts, were analyzed, and the significant parameters identified by a multivariable analysis were used to develop a clinical scoring system. Discrimination was evaluated by the area under the receiver operating characteristic (AuROC) curve, calibration was demonstrated with the Hosmer-Lemeshow goodness of fit test, and internal validation was performed.\n\nResults: Among 511 trauma patients, 72 (14.1%) received MBT. The prehospital factors that significantly predicted massive MBT included hypotension with a SBP of less than 90 mmHg, penetrating object injuries, serious injuries to the face, thorax, abdomen, extremities including the pelvis, and the use of life-saving interventions such as advanced airway management and pelvic binding. The AuROC was 0.943 (95% CI 0.914 to 0.972, p<0.001). The probability of receiving massive transfusion was 94.79% in patients with score of 5 or higher.\n\nConclusion: The prehospital MBT score demonstrates good performance and discrimination for predicting MBT using simple and rapidly obtainable parameters in a prehospital setting.\n\nKeywords: Massive transfusion; Massive bleeding; Prehospital care","PeriodicalId":17486,"journal":{"name":"Journal of the Medical Association of Thailand = Chotmaihet thangphaet","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Medical Association of Thailand = Chotmaihet thangphaet","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35755/jmedassocthai.2023.08.13874","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
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Abstract

Background: Massive blood loss is the primary cause of immediate death in trauma patients. In prehospital care, where laboratory and investigation resources are limited, a massive blood transfusion (MBT) scoring system could activate blood bank preparation of blood components and facilitate EMS decision-making regarding the appropriate trauma center destination. This is particularly significant in urban environments where motor vehicle accidents are highly prevalent. Materials and Methods: A retrospective cohort study was conducted using data from prehospital trauma patients. Predictive parameters, including vital signs, mechanism of injury, and serious injury body parts, were analyzed, and the significant parameters identified by a multivariable analysis were used to develop a clinical scoring system. Discrimination was evaluated by the area under the receiver operating characteristic (AuROC) curve, calibration was demonstrated with the Hosmer-Lemeshow goodness of fit test, and internal validation was performed. Results: Among 511 trauma patients, 72 (14.1%) received MBT. The prehospital factors that significantly predicted massive MBT included hypotension with a SBP of less than 90 mmHg, penetrating object injuries, serious injuries to the face, thorax, abdomen, extremities including the pelvis, and the use of life-saving interventions such as advanced airway management and pelvic binding. The AuROC was 0.943 (95% CI 0.914 to 0.972, p<0.001). The probability of receiving massive transfusion was 94.79% in patients with score of 5 or higher. Conclusion: The prehospital MBT score demonstrates good performance and discrimination for predicting MBT using simple and rapidly obtainable parameters in a prehospital setting. Keywords: Massive transfusion; Massive bleeding; Prehospital care
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预测创伤患者大量输血的院前因素研究进展
背景:大量失血是创伤患者立即死亡的主要原因。在实验室和调查资源有限的院前护理中,大规模输血(MBT)评分系统可以激活血库准备血液成分,促进EMS对合适的创伤中心目的地的决策。这在机动车事故非常普遍的城市环境中尤为重要。材料和方法:采用院前创伤患者的资料进行回顾性队列研究。对生命体征、损伤机制、严重损伤部位等预测参数进行分析,并通过多变量分析识别出显著性参数,建立临床评分系统。采用受试者工作特征曲线下面积(AuROC)评价鉴别性,采用Hosmer-Lemeshow拟合优度检验进行标定,并进行内部验证。结果:511例外伤患者中,72例(14.1%)接受了MBT治疗。院前因素可显著预测大面积MBT,包括收缩压低于90 mmHg的低血压、穿透性物体损伤、面部、胸部、腹部、四肢(包括骨盆)的严重损伤,以及使用挽救生命的干预措施,如先进的气道管理和骨盆捆绑。AuROC为0.943 (95% CI 0.914 ~ 0.972, p<0.001)。5分及以上患者接受大量输血的概率为94.79%。结论:院前MBT评分在预测院前MBT方面具有良好的性能和判别性,使用简单、快速获得的参数。关键词:大量输血;大量出血;院前护理
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