开发和验证1年死亡率预测模型,用于入住ICU的血液恶性瘤患者
Jan-Willem H L Boldingh1,2, M Sesmu Arbous3, Bart J Biemond4
1Department of Critical Care, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Critical care explorations
|May 30, 2024
概括
一个新的13个变量模型准确地预测了血液恶性瘤的ICU患者的1年死亡率. 这种工具有助于临床决策关于重症监护和终身规划这些重症患者.
科学领域:
- 血液学 血液学 血液学
- 关键护理医学 关键护理医学
- 生物统计学 生物统计学
背景情况:
- 进入重症监护室 (ICU) 的血液恶性瘤患者的死亡率很高.
- 准确的预后对于指导治疗决策和在这个脆弱人群中终身护理至关重要.
研究的目的:
- 开发和验证一个预测模型,以预测血液恶性瘤的重症患者的1年死亡率.
- 将新模型的性能与已建立的急性生理学和慢性健康评估II (APACHE II) 评分进行比较.
主要方法:
- 在荷兰的五所大学医院进行了一项回顾性队列研究.
- 包括1097名连续入住ICU的血液恶性瘤患者.
- 使用后勤回归开发了一个13个变量预测模型,并通过内部-外部交叉验证进行验证,采用引导方法来最大限度地减少过拟合.
主要成果:
- 开发的13个变量模型确定了死亡率的关键预测因素,包括活跃疾病,年龄,先前的干细胞移植,机械通风和急性损伤.
- 该模型在验证时显示出良好的校准和区分 (C统计值0.70),超过了APACHE II评分 (C统计值0.61).
- 决策曲线分析支持该模型对预测目标患者群体1年死亡率的临床实用性.
结论:
- 与APACHE II模型相比,一种新的13个变量预测模型提供了更好的准确性来预测血液恶性瘤的ICU患者的1年死亡率.
- 这种经过验证的模型可以帮助临床医生在有关持续的ICU护理和息护理考虑的共享决策过程中.
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