验证线性回归方程使用中腕周长来预测身体质量指数
Adwaith Krishna Surendran1, Surendran Deepanjali2
1Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, 605006, India.
Clinical nutrition ESPEN
|September 22, 2023
概括
使用中上臂周长 (MUAC) 估计住院患者的体重指数 (BMI) 显示,实际BMI的准确性不佳. 然而,低的MUAC有效地识别了临床环境中的营养不良.
科学领域:
- 临床营养学 临床营养学
- 人类测量学 人类测量学.
- 患者评估 患者评估
背景情况:
- 在没有体重和身高测量的情况下,在住院患者中进行准确的营养评估是很困难的.
- 中高臂周长 (MUAC) 是一种潜在的替代人体测量方法.
研究的目的:
- 用MUAC验证回归方程来预测身体质量指数 (BMI).
- 评估全球MUAC切线 (≤24厘米) 以检测营养不良.
主要方法:
- 在201名稳定的患者中,前性测量站立身高,体重和MUAC.
- 布兰德-阿尔特曼分析用于评估计算和预测BMI之间的一致性.
主要成果:
- 从MUAC预测的BMI显示校准不佳,偏差为+1.076.
- MUAC ≤24厘米显示高灵敏度 (97%) 和良好的特异性 (83%) 检测营养不良.
结论:
- 使用MUAC进行的BMI预测对于住院患者的精确估计是不可靠的.
- 低的MUAC (≤24厘米) 是识别营养不良的有价值和准确的指标.
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