在患有骨骨折的老年患者中,开发和验证急性呼吸衰竭的风险预测名录
1Pain ward of Rehabilitation Department, Honghui Hospital, Xi'an Jiaotong University, No. 555 Youyi East Road, Beilin District, Xi'an, 710054, Shaanxi Province, China.
Journal of orthopaedic surgery and research
|November 25, 2023
概括
一种新的风险预测模型有助于识别患有急性呼吸衰竭高风险的老年关节骨折患者. 这种工具有助于临床医生在早期干预和治疗规划中获得更好的患者结果.
科学领域:
- 老年医学 老年医学
- 临界护理医学 临界护理医学
- 医疗信息学 医疗信息学
背景情况:
- 患有关节骨折的老年患者患急性呼吸衰竭的风险很高.
- 目前,没有有效的工具可以预测患者群体中的这种并发症.
- 开发预测模型对于及时干预和改善患者管理至关重要.
研究的目的:
- 开发和验证患有骨骨折的老年患者急性呼吸衰竭的风险预测模型.
- 在这个人口群体中确定与呼吸衰竭相关的关键预测因素.
主要方法:
- 从MIMIC-IV数据库 (2008-2019) 中对3266名55岁以上的关节骨折患者进行了回顾性分析.
- 使用最小绝对收缩和选择运算符 (LASSO) 回归来进行预测器选择.
- 使用多变量逻辑回归构建了一个名ogram模型,并验证了它的性能.
主要成果:
- 确定了七个重要的预测因素:年龄,身高,白蛋白,化物,肺炎,急性损伤 (AKI) 和肝素使用.
- 该模型实现了良好的预测性能,曲线下的面积 (AUC) 为0.77 (训练) 和0.73 (验证).
- 校准曲线和决策曲线分析 (DCA) 证实了模型的准确性和临床实用性.
结论:
- 开发的风险预测模型有效地识别了有呼吸衰竭风险的老年关节骨折患者.
- 这个工具可以帮助临床医生在早期风险分层,并告知治疗策略.
- 提供基于证据的参考,用于管理这个脆弱群体的呼吸道并发症.
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