Abstract
Background
An accurate calculation of energy expenditure (REE) is necessary for estimating energy needs in prostate cancer. The purpose of this research was to evaluate the accuracy of the established new 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.
Methods
Subjects with 41 malign prostate and 42 benign prostate subtects were both over the age of 40 (65.3 ± 6.30 years) and recruited for the study. Cosmed-FitMate GS Indirect Calorimetry with Canopy-hood (Rome, Italy) was used to measure REE. A full body composition analysis and anthropometric measurements were taken.
Results
Malign prostate group PSA Total and measured REE values (4.93±5.44 ng/ml, 1722.9±272.69kcal/d respectively) were statisticaly significantly higher than benign group (1.76±0.73ng/ml, 1670.5±266.76 kcal/d respectively) (p < 0.05). Malign (MPG) and benign prostate groups (BPG) have the highest percentage of the accurate-prediction value of equations 80.9% (New EquationMPG) and 64.2% (New EquationBPG). The bias of the equations varied from-36.5% (Barcellos II Equation) to 19.2% (Mifflin-St. Jeor equation) for malign prostate group and varied from − 41.1% (Barcellos II Equation) to 17.7% (Mifflin-St.Jeor equation) in benign prostate group. The smallest RMSE values in the malign and benign prostate group were New EquationMPG (149 kcal/d) and New EquationBPG (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 benign prostate group: REE = 615,922+ (13,094* WT). Bland-Altman plots reveal an equally random distribution of new equations in malign and benign prostate group.
Conclusions
The majority of the previously developed predictive equations for REE were inaccurate and biased. The new specific equation for malign prostate cancer that we created enabled us to develop prostate cancer-specific energy prediction equations with the PSAT parameter. In any case, the new predictive equations enable clinicians to estimate REE in people with malign and benign prostate groups with sufficient and most acceptable accuracy.