Tek Nilüfer Acar, Koçak Tevfik, Yeşil Süleyman, Sözen Tevfik Sinan
Faculty 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.
Faculty of Health Sciences, Department of Nutrition and Dietetics, Gümüşhane University, Gümüşhanevî Kampüsü, Bağlarbaşı Mahallesi 29100 / Gümüşhane, Gümüşhane, T.K, Turkey.
BMC Urol. 2025 Mar 27;25(1):61. doi: 10.1186/s12894-024-01648-9.
An accurate calculation of energy expenditure (REE) is necessary for estimating energy needs in malign prostate cancer. The purpose of this research was to evaluate the accuracy of the established novel equation for predicting REE in malign and benign prostate patients versus the accuracy of the previously used predictive equations based on REE measured by indirect calorimetry.
The study was conducted as a cross-sectional case-control study and between December 2020 and May 2021 with 40 individuals over the age of 40 who applied to the Urology Clinic of Gazi University Faculty of Medicine. Subjects with 41 malign prostate and 42 benign prostate patients were both over the age of 40 (65.3 ± 6.30 years) and recruited for the study. Cosmed-FitMate GS Indirect Calorimetry with Canopyhood (Rome, Italy) was used to measure REE. A full body composition analysis and anthropometric measurements were taken.
Not applicable.
Malign prostate group PSA Total and measured REE values (4.93 ± 5.44 ng/ml, 1722.9 ± 272.69 kcal/d, respectively) were statistically significantly higher than benign group (1.76 ± 0.73 ng/ml, 1670.5 ± 266.76 kcal/d, respectively) (p = 0.022). Malign prostate group (MPG) and benign prostate group (BPG) have the highest percentage of the accurate prediction value of Eq. 80.9% (novel equation MPG) and 64.2% (novel equation BPG). The bias of the equations varied from - 36.5% (Barcellos II Equation) to 19.2% (Mifflin-St. Jeor equation) for the malign prostate group and varied from - 41.1% (Barcellos II Equation) to 17.7% (Mifflin-St. Jeor equation) in the benign prostate group. The smallest root mean squared error (RMSE) values in the malign and benign prostate groups were novel equation MPG (149 kcal/d) and novel equation BPG (202 kcal/d). The new specific equation for malign prostate cancer: REE = 3192,258+ (208,326* body weight (WT)) - (20,285* height (HT)) - (187,549* fat free mass (FFM)) - (203,214* fat mass (FM)) + (4,194* prostate specific antigen total (PSAT)). The new specific equation for the benign prostate group is REE = 615,922+ (13,094*WT). Bland-Altman plots reveal an equally random distribution of novel equations in the malign and benign prostate groups.
Previously established prediction equations for REE may be inconsistent. Utilising the PSAT parameter, we formulated novel energy prediction equations specific to prostate cancer. In any case, the novel predictive equations enable clinicians to estimate REE in people with malign and benign prostate groups with sufficient and most acceptable accuracy.
准确计算能量消耗(REE)对于评估恶性前列腺癌患者的能量需求至关重要。本研究的目的是评估已建立的预测恶性和良性前列腺患者REE的新方程的准确性,并与基于间接测热法测量的REE的先前使用的预测方程的准确性进行比较。
本研究为横断面病例对照研究,于2020年12月至2021年5月期间,对40名40岁以上申请加齐大学医学院泌尿外科门诊的患者进行研究。41名恶性前列腺患者和42名良性前列腺患者均年龄超过40岁(65.3±6.30岁),并被纳入研究。使用带有面罩的Cosmed-FitMate GS间接测热仪(意大利罗马)测量REE。进行了全身成分分析和人体测量。
不适用。
恶性前列腺组的总前列腺特异性抗原(PSA)和测量的REE值(分别为4.93±5.44 ng/ml,1722.9±272.69 kcal/d)在统计学上显著高于良性组(分别为1.76±0.73 ng/ml,1670.5±266.76 kcal/d)(p = 0.022)。恶性前列腺组(MPG)和良性前列腺组(BPG)中方程8的准确预测值百分比最高,分别为80.9%(新方程MPG)和64.2%(新方程BPG)。对于恶性前列腺组,方程的偏差从-36.5%(巴塞洛斯II方程)到19.2%(米夫林-圣乔尔方程)不等;在良性前列腺组中,偏差从-41.1%(巴塞洛斯II方程)到17.7%(米夫林-圣乔尔方程)不等。恶性和良性前列腺组中最小的均方根误差(RMSE)值分别为新方程MPG(149 kcal/d)和新方程BPG(202 kcal/d)。恶性前列腺癌的新特定方程:REE = 3192258 +(208326×体重(WT))-(20285×身高(HT))-(187549×去脂体重(FFM))-(203214×脂肪量(FM))+(4194×总前列腺特异性抗原(PSAT))。良性前列腺组的新特定方程为REE = 615922 +(13094×WT)。布兰德-奥特曼图显示新方程在恶性和良性前列腺组中分布均匀。
先前建立的REE预测方程可能不一致。利用PSAT参数,我们制定了针对前列腺癌的新能量预测方程。无论如何,新的预测方程使临床医生能够以足够且最可接受的准确性估计恶性和良性前列腺组患者的REE。