目的:已经开发了各种预测评分来预测创伤患者的死亡率,例如冲击指数(SI),修改后的SI(mSI),年龄调整后的SI(aSI),和休克指数(SI)乘以警觉/言语/疼痛/无反应(AVPU)评分(SIAVPU)。SIAVPU是一种新颖的评分系统,但其对创伤结局的预测准确性仍需进一步验证。因此,我们调查了四个评分系统的准确性,包括SI,mSI,aSI,和SIAVPU,在预测死亡率时,入住重症监护病房(ICU),住院时间延长≥30天(LOS)。方法:这项回顾性多中心研究使用了慈济医院创伤数据库中的数据。确定每个结果的受试者工作特征曲线下面积(AUROC),以评估其辨别能力并通过Delong检验进行比较。进行亚组分析以研究SIAVPU在不同患者群体中的预测准确性。结果:总的来说,5355例患者被纳入分析。SIAVPU的中位数在严重损伤的患者中明显更高(1.47vs0.63),入住ICU的患者(0.73vs0.62),那些长期住院LOS≥30天(0.83vs0.64)的人,和死亡率(1.08vs0.64)。SIAVPU的AUROC显著高于SI,mSI,24小时死亡率和aSI(AUROC:0.845vs0.533、0.540和0.678),3天死亡率(AUROC:0.803vs0.513、0.524和0.688),7天死亡率(AUROC:0.755vs0.494、0.505和0.648),住院死亡率(AUROC:0.722vs0.510、0.524和0.667),ICU入院(AUROC:0.635vs0.547、0.551和0.563)。在最佳临界值0.9时,SIAVPU预测24小时死亡率的准确率为82.2%,82.8%用于预测3天死亡率,预测7天死亡率的82.8%,用于预测住院死亡率的82.5%,用于预测重症监护病房(ICU)入院的73.9%,81.7%用于预测延长的住院LOS≥30天。结论:我们的结果表明SIAVPU比SI具有更好的准确性,mSI,和ASI预测24小时,3天,7天,和住院死亡率;ICU入院;以及外伤患者的住院LOS≥30天。
UNASSIGNED: Various prediction scores have been developed to predict mortality in trauma patients, such as the shock index (SI), modified SI (mSI), age-adjusted SI (aSI), and the shock index (SI) multiplied by the alert/verbal/painful/unresponsive (AVPU) score (SIAVPU). The SIAVPU is a novel scoring system but its prediction accuracy for trauma outcomes remains in need of further validation. Therefore, we investigated the accuracy of four scoring systems, including SI, mSI, aSI, and SIAVPU, in predicting mortality, admission to the intensive care unit (ICU), and prolonged hospital length of stay ≥ 30 days (LOS).
UNASSIGNED: This retrospective multicenter study used data from the Tzu Chi Hospital trauma database. The area under the receiver operating characteristic curve (AUROC) was determined for each outcome to assess their discrimination capabilities and comparing by Delong\'s test. Subgroup analyses were conducted to investigate the prediction accuracy of the SIAVPU in different patient populations.
UNASSIGNED: In total, 5355 patients were included in the analysis. The median of SIAVPU were significantly higher among patients at those with major injury (1.47 vs 0.63), those admitted to the ICU (0.73 vs 0.62), those with prolonged hospital LOS≥ 30 days (0.83 vs 0.64), and those with mortality (1.08 vs 0.64). The AUROC of the SIAVPU was significantly higher than that of the SI, mSI, and aSI for 24-h mortality (AUROC: 0.845 vs 0.533, 0.540, and 0.678), 3-day mortality (AUROC: 0.803 vs 0.513, 0.524, and 0.688), 7-day mortality (AUROC: 0.755 vs 0.494, 0.505, and 0.648), in-hospital mortality (AUROC: 0.722 vs 0.510, 0.524, and 0.667), ICU admission (AUROC: 0.635 vs 0.547, 0.551, and 0.563). At the optimal cutoff value of 0.9, the SIAVPU had an accuracy of 82.2% for predicting 24-h mortality, 82.8% for predicting 3-day mortality, of 82.8% for predicting 7-day mortality, of 82.5% for predicting in-hospital mortality, of 73.9% for predicting Intensive Care Unit (ICU) admission, and of 81.7% for predicting prolonged hospital LOS ≥30 days.
UNASSIGNED: Our results reveal that SIAVPU has better accuracy than the SI, mSI, and aSI for predicting 24-h, 3-day, 7-day, and in-hospital mortality; ICU admission; and prolonged hospital LOS ≥30 days among patients with traumatic injury.