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一种新型的诺莫图谱,用于预测在选择性手术后在麻醉后护理单位停留的长时间

Fuquan Fang¹, Tiantian Liu², Jun Li³

¹Department of Anesthesiology, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou, 310003, Zhejiang Province, China.

BMC anesthesiology

|December 7, 2023

概括

这项研究开发了一种名谱,用于预测选择性手术患者在麻醉后护理单位 (PACU中的PLOS) 长时间停留的时间. 该工具有助于个性化风险评估和干预计划.

科学领域:

麻醉学麻醉学
手术结果研究研究.
在医疗保健中的预测建模.

背景情况:

在麻醉后护理单位 (PACU中的PLOS) 长时间停留会对患者护理质量和手术室效率产生负面影响.
识别PACU中PLOS的风险因素对于优化外科手术工作流程至关重要.

研究的目的:

在接受选择性手术的患者中,开发和验证PACU中PLOS的预测名录.
提供一个工具,用于对长期PACU停留的个性化风险评估.

主要方法:

使用来自24,017名患者的数据构建了一个后勤回归模型.
使用LASSO和联合前向/后向消除方法进行了变量选择.
使用差别 (AUC) 和校准评估,并对临床实用性进行决策曲线分析来评估nomogram的性能.

主要成果:

开发了一个十个变量的名录,包括年龄,BMI,ASA状态,手术类型和并发症等因素.
诺米图表表现出良好的预测性能,在开发集中的C指数为0.773,在验证集中的C指数为0.757.
决策曲线分析表明,当PACU中PLOS的预测概率超过10%时,临床益处就会出现.

结论:

开发的诺米图有效地预测了选择性手术患者在PACU中的PLOS.
这种工具有助于个性化风险评估,并可指导临床决策对干预措施.
诺米图有助于提高患者护理和手术室效率.

关键词:

麻醉麻醉是一种麻醉.手术后更好的康复术后更好的康复这个名字叫做Nomogram.麻醉后护理单位麻醉后护理风险因素风险因素

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