评估整个乳腺癌轨迹的能量需求的预测方程:一项比较研究
Bruna R da Silva1, Ana Paula Pagano1, Amy A Kirkham2
1Human Nutrition Research Unit, Department of Agricultural, Food & Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
Clinical nutrition (Edinburgh, Scotland)
|August 2, 2024
概括
大多数休息能量消耗 (REE) 预测方程对于患有乳腺癌的女性来说是不准确的. 这项研究强调,迫切需要改进方法,以防止这一群体的意外体重变化.
科学领域:
- 营养科学 营养科学
- 在瘤学瘤学.
- 代谢研究研究 代谢研究
背景情况:
- 准确估计休息能量消耗 (REE) 对癌症患者的营养管理至关重要.
- 接受治疗或生存的乳腺癌患者具有独特和可变的能量需求.
- 目前对REE的预测方程可能无法充分服务于这一群体.
研究的目的:
- 评估40个预测的REE方程与乳腺癌妇女的测量REE之间的一致性.
- 评估这些方程对活跃治疗和生存阶段的准确性.
- 确定对这一人口群体的能源需求估计的潜在改进.
主要方法:
- 来自4项涉及90名患有乳腺癌的女性 (积极治疗和幸存者) 的综合数据.
- 通过40个方程估计的REE与使用间接热量计 (代谢车和整个房间间间接热量计) 测量的REE进行比较.
- 利用布兰德-阿尔特曼分析和林的一致性相关系数 (CCC) 来评估一致性和偏见.
主要成果:
- 与测量的REE相比,所有40个方程都显示了广泛的协议极限 (大约300千卡),REE.
- 没有测试的方程实现偏差在±10%的测量REE或高协议 (林的CCC<0.90).
- 科尔特和利文斯顿-科尔施塔特方程表现出最好的相对性能,但整体准确性仍然很低.
结论:
- 现有的REE预测方程对于患有乳腺癌的女性在群体和个人层面都很不准确.
- 不准确的REE估计可能导致该患者群体的显著意外体重变化.
- 发展和验证更精确的REE估计方法在乳腺癌患者和幸存者中至关重要.
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