一种新的方程合成,用于估计前列腺癌患者的休息能量消耗
Nilüfer Acar Tek1,2, Tevfik Koçak3,4, Süleyman Yeşil5
1Faculty of Health Sciences, Department of Nutrition and Dietetics, Gazi University, Emek Bişkek Cad. 6. Sok. Gazi Üniversitesi No:2, Çankaya, Ankara, 06490, N.A.T, Turkey.
BMC urology
|March 28, 2025
概括
新的方程式准确地估计了前列腺癌患者的休息能量消耗 (REE). 这些新的配方,包括前列腺特异性抗原 (PSA) 水平,为恶性和良性前列腺疾病提供了比现有方法更好的准确性.
科学领域:
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 代谢研究研究 代谢研究
- 在瘤学瘤学.
背景情况:
- 准确估计休息能量消耗 (REE) 对于确定恶性前列腺癌患者的能量需求至关重要.
- 现有的REE预测方程在这个群体中可能缺乏一致性和准确性.
研究的目的:
- 在患有恶性和良性前列腺疾病的患者中评估一种新的REE预测方程的准确性.
- 将新方程的性能与以前使用的预测方程进行比较.
主要方法:
- 一项横截面病例控制研究,涉及41名40岁以上的前列腺恶性和42名良性前列腺患者.
- 使用间接热量计 (Cosmed-FitMate GS with Canopyhood) 测量的休息能量支出 (REE).
- 进行了全身构成分析和人体测量测量.
主要成果:
- 恶性前列腺组与良性组相比,PSA总和测量的REE值显著更高.
- 这种新的方程实现了最高的准确预测百分比:恶性前列腺组的80.9%,良性前列腺组的64.2%.
- 新式方程显示了最小的根平均平方误差 (RMSE) 值,表明精度更高.
结论:
- 新的REE预测方程,包括前列腺特异性抗原 (PSA) 水平,被开发用于恶性和良性前列腺疾病.
- 这些新的方程为临床医生提供了一种更准确的方法来估计这些患者群体的REE.
- 新的预测方程为临床使用提供了足够和可接受的准确性.
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