开发和验证ICU初级肺高血压患者的死亡率预测模型
Chao-Yong Zhang1,2, Yao-Shi Hu1,2, Zhong-Yuan Meng2
1Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, People's Republic of China.
Scientific reports
|December 29, 2024
概括
研究人员开发了一种新的预后模型,用于预测原发性肺高血压患者的死亡风险. 该模型利用了诸如年龄和呼吸速率等因素,有望改善患者的预测结果.
科学领域:
- 医学研究 医学研究
- 临床信息学 临床信息学
背景情况:
- 初级肺高血压 (PPH) 缺乏有效的预后模型.
- 准确预测死亡风险对于PPH患者管理至关重要.
研究的目的:
- 开发和验证PPH患者死亡风险的预测模型.
- 评估模型的性能,校准和临床实用性.
主要方法:
- 从MIMIC和eICU数据库对PPH患者的回顾性分析.
- 使用一致性指数 (C-index),接收器操作特征 (ROC) 曲线,校准曲线和决策曲线分析 (DCA) 的开发和验证.
- 包括420名患者在开发,内部和外部验证组.
主要成果:
- 预测模型确定了年龄,呼吸率,红细胞分布宽度,葡萄糖和SAPS II作为危险因素.
- 实现了0.736 (开发) 和0.696 (内部验证) 的C指数.
- 通过DCA证明了强大的歧视能力,良好的校准和显著的临床益处.
结论:
- 开发的预后模型显示了良好的区分,准确性和临床适用性,用于预测PPH患者的预后.
- 这个模型可以帮助临床医生评估和管理PPH患者的结果.
- 进一步验证可能会加强其在PPH临床决策中的作用.
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