[构建和外部验证持续置换治疗期间意外中断的风险预测模型]
Hongyan Xu1, Qi Ren, Lihong Zhu
1Department of Critical Care Medicine, Zhejiang Hospital, Hangzhou 310030, Zhejiang, China. Corresponding author: Cai Guolong,
Zhonghua wei zhong bing ji jiu yi xue
|June 7, 2024
概括
这项研究开发了一种风险预测模型,以确定在连续置换疗法 (CRRT) 期间有高风险的意外中断的患者. 该模型有效地预测了这些中断,有助于预防性护理策略对重症患者.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 关键护理医学 关键护理医学
- 医疗信息学 医疗信息学
背景情况:
- 连续脏替代疗法 (CRRT) 的意外中断可能会对重症监护室 (ICU) 患者的治疗结果产生负面影响.
- 确定这些中断的预测因素对于及时干预和改善患者管理至关重要.
研究的目的:
- 确定与未计划的CRRT中断相关的独立因素.
- 为非计划的CRRT中断构建和验证一个风险预测模型.
- 评估开发的风险预测模型的临床适用性.
主要方法:
- 对接受CRRT的331名危急病患者进行回顾性分析,以建立模型.
- 二进制物流回归和霍斯默-莱梅肖测试用于因子识别和模型验证.
- 使用电子医疗记录在110名患者的单独队列中对模型的前性验证.
主要成果:
- 无计划的CRRT中断的独立预测因素包括慢性疾病,导管功能差,血液流量降低,血停止增加.
- 开发的风险预测模型显示了高的内部有效性 (AUC=0.952) 和外部有效性 (AUC=0.919).
- 该模型在识别有意外CRRT中断风险的患者时实现了高灵敏度和特异性.
结论:
- 对非计划的CRRT中断进行验证的风险预测模型提供了高的预测效率.
- 该模型能够快速实时识别高风险患者.
- 为实施有针对性的预防性护理干预提供了有价值的参考.
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