Department of Emergency Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taipei, Taiwan.
School of Medicine, Tzu Chi University, Hualien, Taiwan.
Prehosp Emerg Care. 2024;28(5):669-679. doi: 10.1080/10903127.2024.2362921. Epub 2024 Jun 5.
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).
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.
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.
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.
已经开发出各种预测评分来预测创伤患者的死亡率,例如休克指数(SI)、改良 SI(mSI)、年龄调整 SI(aSI)和休克指数(SI)乘以警觉/言语/疼痛/无反应(AVPU)评分(SIAVPU)。SIAVPU 是一种新的评分系统,但它对创伤结局的预测准确性仍需要进一步验证。因此,我们研究了四个评分系统,包括 SI、mSI、aSI 和 SIAVPU,在预测死亡率、入住重症监护病房(ICU)和延长住院时间≥30 天(LOS)方面的准确性。
这是一项回顾性多中心研究,使用了慈济医院创伤数据库的数据。通过 Delong 检验比较每个结果的接受者操作特征曲线(AUROC)面积,以评估其区分能力。进行亚组分析,以调查 SIAVPU 在不同患者人群中的预测准确性。
共纳入 5355 例患者。在严重损伤(1.47 与 0.63)、入住 ICU(0.73 与 0.62)、住院时间延长≥30 天(0.83 与 0.64)和死亡(1.08 与 0.64)的患者中,SIAVPU 的中位数明显更高。SIAVPU 的 24 小时死亡率(AUROC:0.845 与 0.533、0.540 和 0.678)、3 天死亡率(AUROC:0.803 与 0.513、0.524 和 0.688)、7 天死亡率(AUROC:0.755 与 0.494、0.505 和 0.648)、院内死亡率(AUROC:0.722 与 0.510、0.524 和 0.667)、入住 ICU(AUROC:0.635 与 0.547、0.551 和 0.563)的 AUROC 明显高于 SI、mSI 和 aSI。在最佳截断值为 0.9 时,SIAVPU 对 24 小时死亡率的预测准确率为 82.2%,对 3 天死亡率的预测准确率为 82.8%,对 7 天死亡率的预测准确率为 82.8%,对院内死亡率的预测准确率为 82.5%,对 ICU 入院的预测准确率为 73.9%,对住院时间延长≥30 天的预测准确率为 81.7%。
我们的结果表明,SIAVPU 在预测创伤患者的 24 小时、3 天、7 天和院内死亡率、ICU 入院和住院时间延长≥30 天时,其准确性优于 SI、mSI 和 aSI。