希腊患者身高预测方程的准确性:一个横截面研究
Anna Papadopoulou1, Dimitrios Karayiannis1, Georgatza Dimitra1
1Department of Clinical Nutrition, Evangelismos General Hospital, 10676 Athens, Greece.
Nutrients
|July 13, 2024
概括
这项研究为希腊患者开发了新的,准确的高度预测方程,当站立高度无法测量时. 新的方程改进了现有的营养不良普遍查工具 (MUST) 对不同人群的方法.
科学领域:
- 临床营养学 临床营养学
- 人类测量学 人类测量学.
- 生物统计学 生物统计学
背景情况:
- 在临床环境中,对于无法直立的患者来说,测量站立高度是具有挑战性的.
- 现有的身高预测方程可能在不同的种族群体中缺乏准确性,原因是身体部分比例的变化.
- 营养不良普遍查工具 (MUST) 提供了使用替代身体测量的高度预测方程.
研究的目的:
- 在希腊患者队列中评估MUST高度预测方程的准确性.
- 为希腊成年人开发新的,具有全国代表性的身高预测方程.
主要方法:
- 一项涉及1198名希腊成年门诊患者的横截面研究.
- 测量包括站立高度,肘部长度,膝盖高度和半跨度.
- 根据MUST指导方针相关的年龄组对患者进行了分层.
主要成果:
- 在性别和年龄组 (p < 0.001) 中,站立高度和肘部长度,膝盖高度和半跨度之间发现了强烈的正相关性.
- MUST方程显示平均预测差异为-3.04厘米 (ulna),-1.21厘米 (膝盖高度) 和2.16厘米 (demi-span).
- 与MUST方程相比,新开发的方程表明,与实际测量相比,预测的高度更接近实际测量.
结论:
- 现有的MUST高度预测方程对希腊人口的准确性有局限性.
- 新的,经过验证的身高预测方程对于希腊患者的精确人体测量评估是必要的.
- 这些发现支持为临床营养查开发特定于人群的预测工具.
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