预测模型和对稳定慢性阻塞性肺病患者营养不良的评估
Xurui Shen1, Ruiqi Qian1, Yuan Wei2
1Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
营养不良显著影响慢性阻塞性肺病 (COPD) 患者,减少运动能力. 使用6分钟步行距离和CAT得分等因素的新风险评分模型有效地识别了COPD患者的营养不良.
科学领域:
- 肺部医学 肺部医学
- 营养科学 营养科学
- 老年病的医生 老年病的医生
背景情况:
- 慢性阻塞性肺病 (COPD) 患者中普遍存在营养不良,加剧了运动能力下降和生活质量下降.
- 目前缺乏有效和方便的方法来识别COPD人群中营养不良风险的个体.
研究的目的:
- 为初级医生开发和验证一个简单的评分系统,以识别稳定的COPD的营养不良患者.
- 探索有效和方便的方法来识别COPD营养不良风险的个体.
主要方法:
- 一项观察性病例控制研究,涉及251名COPD患者和85名对照.
- 利用LASSO方法为物流回归模型选择预测特征.
- 在不同组和不同严重程度的COPD中比较参数和身体组成.
主要成果:
- 慢性肺炎患者的6分钟步行距离 (6MWD),手握强度,无脂肪质量指数 (FFMI),骨肌量 (SMM) 和蛋白质水平显著降低.
- 营养不良风险的关键预测因素包括6MWD,腰比 (WHR),GOLD等级,COPD评估测试 (CAT) 评分和急性恶化史.
- 开发的风险评分模型表现出良好的准确性 (C指数:0.866) 和校准 (Brier评分:0.150),内部验证后的调整值为0.849和0.165.
结论:
- 经过验证的风险评分模型为初级保健医生提供了一个实用的工具,用于查COPD患者的营养不良.
- 早期识别营养不良可以促进及时和适当的康复干预,潜在地改善患者的结果.
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