三种评分模型 (STEPSS,mSTEPSS和END-IT) 的比较,用于儿科状态队的结果特征
Seda Kanmaz1, Gürsel Şen1, Erdem Simsek1
1Department of Pediatrics, Division of Child Neurology, Ege University Medical Faculty, Turkey.
Epilepsy & behavior : E&B
|March 4, 2025
概括
该END-IT评分模型有效地预测了儿科状态 (SE) 的结果,包括死亡率和长期功能. 这种工具有助于在重症监护室管理患有SE的重症儿童.
科学领域:
- 儿科神经学 儿科神经学
- 关键护理医学 关键护理医学
- 临床结果研究研究
背景情况:
- 儿科状态 (SE) 需要准确的结果预测工具.
- 现有的评分模型在预测SE结果方面的有效性各不相同.
研究的目的:
- 为了比较三个SE评分模型的预测准确性:STEPSS,mSTEPSS和END-IT.
- 在儿科SE队列中评估这些模型的各种结果特征.
主要方法:
- 对240名SE儿童进行了回顾性评估.
- 医院内死亡率,耐火性SE,出院时修改的兰金尺度 (mRS) 和2年后的儿科整体绩效类别 (POPC) 的曲线下面面面积 (AUC) 的计算.
- 对 STEPSS,mSTEPSS 和 END-IT 模型进行比较.
主要成果:
- 终结-IT模型对住院死亡率 (AUC=0.815),进展到耐火性SE (AUC=0.715),出院后不良结果 (AUC=0.742) 和长期功能结果 (AUC=0.720) 的预测能力中等.
- 耐火性或超耐火性SE发生在41.7%的患者中.
- 在医院的死亡率为2.5%.
结论:
- END-IT评分模型是预测儿科SE的结果的实用和可靠工具.
- 它有助于预测短期结果 (死亡率,耐火性SE,放电状态) 和长期功能结果.
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