基于NHANES数据,开发一种临床名录,用于预测患有慢性阻塞性肺病的患者的萨尔科佩尼亚
Xingfu Fan1, Jin Zhao1, Yang Luo1
1Department of General Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Frontiers in medicine
|August 14, 2025
概括
这项研究开发了一种名谱,用于预测COPD患者的肉症,帮助早期检测和干预. 该模型使用了性别,身高,BMI和WWI等因素,显示了改善COPD患者结果的高准确性.
科学领域:
- 肺部医学 肺部医学
- 老年病的医生 老年病的医生
- 生物统计学 生物统计学
背景情况:
- 慢性阻塞性肺部疾病 (COPD) 经常与皮症同时发生,造成一个有害的循环,影响患者的健康.
- 在COPD患者中早期发现肉类症对于及时干预和改善预后至关重要.
研究的目的:
- 开发和验证用于COPD患者早期肉症查的预测性诺莫格拉姆模型.
- 为了确定与COPD患者群体中萨尔科佩尼亚发展相关的关键临床因素.
主要方法:
- 利用了来自四个NHANES数据库周期 (2011-2018) 的数据,列车验证分为7:3.
- 采用多变量逻辑回归和LASSO回归用于预测器选择和名录构造.
- 使用接收器操作特征曲线下的面积 (AUC) 和决策曲线分析 (DCA) 评估模型性能.
主要成果:
- 一个名图成功构建了性别,身高,体重指数 (BMI) 和白细胞计数 (WBC) 的结合.
- 诺米图表表现出极好的预测性能,在训练组中AUC为0.94 (95%CI为0.91-0.97),在验证组中为0.91 (95%CI为0.83-0.98).
- 该模型的临床适用性经过了严格的验证,证实了其在实践中的有用性.
结论:
- 开发的诺米图为COPD患者早期查肉类症提供了一个实用的工具.
- 促进及时干预并优化患者管理策略,以改善预后.
- 强调将肉症查纳入COPD管理的常规护理的重要性.
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