Honarmand Azim, Safavi Mohammadreza
Department of Anesthesiology and Intensive Care, Isfahan University of Medical Sciences, Isfahan, Iran.
Ulus Travma Acil Cerrahi Derg. 2008 Apr;14(2):110-7.
This study validates the accuracy of the Injury Severity Score (ISS) and the New Injury Severity Score (NISS) systems for prediction of need intubatin (NI), need mechanical ventilation (NMV), and duration of mechanical ventilation (DMV) in intensive care unit (ICU) trauma patient admissions.
One-hundred ten trauma patients were included in this prospective cohort study. The predictive accuracies of the ISS and the NISS were compared using Receiver Operator Characteristic (ROC) curves and Hosmer-Lemeshow (H-L) statistics for the logistic regression model of ICU admission.
For prediction of NI, the best cut-off points were 22 for ISS and 27 for NISS. The positive prediction value was 91.6% in NISS and 87.8% in ISS. The Youden index had best cut-off points at 0.47 for NISS and 0.57 for ISS. The area under Receiver Operating Characteristic (ROC) curve was 0.79 in the ISS and 0.86 in the ISS. There were statistical differences among NISS with ISS in terms of Youden index and the area under the ROC curve (p<0.05). For the prediction of NMV, NISS yielded significantly better results in the area under the ROC curve and Youden index than those of ISS (p<0.05).
For prediction of NI or NMV, the NISS has better accuracy than ISS.
本研究验证了损伤严重度评分(ISS)和新损伤严重度评分(NISS)系统在预测重症监护病房(ICU)创伤患者入院时是否需要插管(NI)、是否需要机械通气(NMV)以及机械通气持续时间(DMV)方面的准确性。
本前瞻性队列研究纳入了110例创伤患者。使用受试者工作特征(ROC)曲线和霍斯默-莱梅肖(H-L)统计量对ICU入院的逻辑回归模型比较ISS和NISS的预测准确性。
对于NI的预测,ISS的最佳截断点为22,NISS的最佳截断点为27。NISS的阳性预测值为91.6%,ISS的阳性预测值为87.8%。NISS的约登指数最佳截断点为0.47,ISS的约登指数最佳截断点为0.57。ISS的受试者工作特征(ROC)曲线下面积为0.79,NISS的受试者工作特征(ROC)曲线下面积为0.86。在约登指数和ROC曲线下面积方面,NISS与ISS之间存在统计学差异(p<0.05)。对于NMV的预测,NISS在ROC曲线下面积和约登指数方面的结果明显优于ISS(p<0.05)。
对于NI或NMV的预测,NISS比ISS具有更高的准确性。