...
首页> 外文期刊>European journal of medical research. >The sequential trauma score - a new instrument for the sequential mortality prediction in major trauma*
【24h】

The sequential trauma score - a new instrument for the sequential mortality prediction in major trauma*

机译:序贯创伤评分-一种预测重大创伤中序贯死亡率的新工具*

获取原文
           

摘要

BackgroundThere are several well established scores for the assessment of the prognosis of major trauma patients that all have in common that they can be calculated at the earliest during intensive care unit stay. We intended to develop a sequential trauma score (STS) that allows prognosis at several early stages based on the information that is available at a particular time.Study designIn a retrospective, multicenter study using data derived from the Trauma Registry of the German Trauma Society (2002-2006), we identified the most relevant prognostic factors from the patients basic data (P), prehospital phase (A), early (B1), and late (B2) trauma room phase. Univariate and logistic regression models as well as score quality criteria and the explanatory power have been calculated.ResultsA total of 2,354 patients with complete data were identified. From the patients basic data (P), logistic regression showed that age was a significant predictor of survival (AUCmodel p, area under the curve = 0.63). Logistic regression of the prehospital data (A) showed that blood pressure, pulse rate, Glasgow coma scale (GCS), and anisocoria were significant predictors (AUCmodel A = 0.76; AUCmodel P + A = 0.82). Logistic regression of the early trauma room phase (B1) showed that peripheral oxygen saturation, GCS, anisocoria, base excess, and thromboplastin time to be significant predictors of survival (AUCmodel B1 = 0.78; AUCmodel P +A + B1 = 0.85). Multivariate analysis of the late trauma room phase (B2) detected cardiac massage, abbreviated injury score (AIS) of the head ≥ 3, the maximum AIS, the need for transfusion or massive blood transfusion, to be the most important predictors (AUCmodel B2 = 0.84; AUCfinal model P + A + B1 + B2 = 0.90). The explanatory power - a tool for the assessment of the relative impact of each segment to mortality - is 25% for P, 7% for A, 17% for B1 and 51% for B2. A spreadsheet for the easy calculation of the sequential trauma score is available at: http://www.sequential-trauma-score.comConclusionsThis score is the first sequential, dynamic score to provide a prognosis for patients with blunt major trauma at several points in time. With every additional piece of information the precision increases. The medical team has a simple, useful tool to identify patients at high risk and to predict the prognosis of an individual patient with major trauma very early, quickly and precisely.
机译:背景技术有几个公认的重大创伤患者预后评估分数,它们的共同点是可以在重症监护病房住院期间最早进行计算。我们打算开发一个连续创伤评分(STS),以根据特定时间可获得的信息在几个早期阶段进行预后研究设计在一项回顾性,多中心研究中,使用源自德国创伤学会创伤杂志的数据( 2002-2006年),我们从患者的基础数据(P),院前阶段(A),早期(B1)和晚期(B2)创伤室阶段确定了最相关的预后因素。计算了单变量和逻辑回归模型,以及得分质量标准和解释力。结果共鉴定出2,354例具有完整数据的患者。根据患者的基本数据(P),逻辑回归表明年龄是生存的重要预测指标(AUC模型p,曲线下面积= 0.63)。院前数据的Logistic回归(A)显示血压,脉搏率,格拉斯哥昏迷量表(GCS)和室间隔狭窄是重要的预测指标(AUCmodel A = 0.76; AUCmodel P + A = 0.82)。早期创伤室阶段(B1)的Logistic回归显示,外周血氧饱和度,GCS,动脉粥样硬化,碱基过量和凝血活酶时间是生存的重要预测指标(AUCmodel B1 = 0.78; AUCmodel P + A + B1 = 0.85)。晚期创伤室期(B2)的多变量分析可检测到心脏按摩,头部的简短损伤评分(AIS)≥3,最大AIS,需要输血或大量输血,这是最重要的预测指标(AUCmodel B2 = 0.84; AUC最终模型P + A + B1 + B2 = 0.90)。解释力-一种评估每个部分对死亡率的相对影响的工具-P的为25%,A的为7%,B1的为17%,B2的为51%。结论:该评分是第一个连续动态评分,可为患有严重钝性创伤的患者在多个时间点提供预后,该电子表格可轻松计算连续性创伤评分,该电子表格可在以下网址获得:http://www.sequential-trauma-score.com。时间。每增加一条信息,精度就会提高。医疗团队拥有一个简单而有用的工具,可以非常早,快速,准确地识别出高危患者并预测个别有严重创伤的患者的预后。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号