在ICU28天内开发和评估肺囊病的死亡风险预测诺莫格拉姆模型,用于ICU中的肺囊病
Yiru Weng1, Tingting Zhou1, Honghua Ye2
1The Affiliated Lihuili Hospital of Ningbo University, Ningbo, 315040, Zhejiang, People's Republic of China.
这项研究开发了一个名图,用于预测患有Pneumocystis肺炎的重症监护室 (ICU) 患者的28天死亡风险. 该模型确定了关键的风险因素,为个性化预后评估提供了一个视觉工具.
科学领域:
- 关键护理医学 关键护理医学
- 医疗信息学 医疗信息学
- 流行病学 流行病学
背景情况:
- 肺囊性肺炎 (PCP) 是重症监护室 (ICU) 患者死亡的重要原因.
- 准确预测死亡风险对于及时干预和资源分配至关重要.
研究的目的:
- 开发和验证PCP的ICU患者28天死亡率的诺姆图谱预测模型.
- 在这个患者队列中确定与28天死亡率相关的关键临床指标.
主要方法:
- 使用MIMIC-IV数据库 (2008-2022) 进行回顾性数据收集.
- 从事拉索回归和对线性选,从63个初始指标中进行变量选择.
- 使用1000个启动重抽样验证模型,计算AUC,灵敏度,特异性,并绘制ROC,校准和决策曲线分析 (DCA) 曲线.
主要成果:
- 最终的模型包括五个变量:恶性瘤史,Lods得分,Oasis得分,休克和严重的损伤.
- 诺米图表表现出良好的预测性能,AUC为0.814 (95% CI为0.732-0.897).
- 该模型显示了良好的校准准确度,并为人口预测提供了最高的净效益,概率在35-60%之间.
结论:
- 开发了一种用户友好的名图,用于预测PCP的ICU患者的28天死亡风险.
- 诺米图集成了个性化风险评估的关键因素,帮助临床决策.
- 这种经过验证的工具支持PCP患者的基于证据的预后评估和治疗策略.
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