对四种模型对严重烧伤患者死亡的预测价值进行比较研究
Huayong Chen1, Xingwang Wu1, Lijin Zou2
1No.17, Yongwai Zhengjie, Donghu District, Nanchang, Jiangxi, 330006, China; The First Affiliated Hospital of Nanchang University, China; Master of Medicine, Yongwai Zhengjie, Donghu District, Nanchang, Jiangxi 330006, China.
Burns : journal of the International Society for Burn Injuries
|November 26, 2023
概括
与现有方法相比,一种新的评分模型在预测严重烧伤患者的死亡风险方面表现出更高的准确性. 需要进一步的研究来评估其临床适用性.
科学领域:
- 烧伤伤害研究研究
- 预测模型的预测建模.
- 临床结果评估评估临床结果.
背景情况:
- 准确的死亡率预测对于治疗严重烧伤患者至关重要.
- 像瑞安,比利时烧伤结果 (BOBI) 和修订后的Baux (rBaux) 等现有的评分系统在预测极度严重烧伤病例的结果方面存在局限性.
- 2020年开发了一种基于Logit (P) 的新型评分方法,以改善死亡风险评估.
研究的目的:
- 为了评估瑞安评分的预后价值,比利时烧伤结局 (BOBI) 评分,修订的Baux (rBaux) 评分,以及基于Logit (P) 的新模型.
- 为了比较这四种模型在预测极度严重烧伤患者的死亡风险方面的表现.
- 评估每个模型在不同年龄组的临床实用性和准确性.
主要方法:
- 对2017年至2022年期间入院的599名烧伤患者的回顾性分析.
- 使用接收机操作特征 (ROC) 曲线,校准曲线和决策曲线分析 (DCA) 来评估模型性能.
- 使用德隆测试,比较曲线下的面积 (AUC),最佳切线,灵敏度,特异性和AUC质量.
主要成果:
- 新的基于Logit (P) 的模型显示了0.868的最高曲线下面积 (AUC),在预测死亡风险方面表现优于其他模型.
- 校准曲线显示所有四种模型的精度都很好.
- 决策曲线分析 (DCA) 显示了新型模型和rBaux得分的卓越临床实用性,特别是在20-59岁和≥60岁的年龄组.
结论:
- 这四种模型都为严重烧伤患者提供了准确的预后.
- 新型模型和rBaux得分证明了增强的预测实用性.
- 需要进一步的临床研究来确定新模型的实际适用性.
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