Dent testing sets. two.four. Statistical Analysis The REE worth predicted by ANNDent testing sets. two.4.

Dent testing sets. two.four. Statistical Analysis The REE worth predicted by ANN
Dent testing sets. two.4. Statistical Analysis The REE worth predicted by ANN was compared together with the REE measured with IC by univariate linear regression. The imply absolute error (MAE), i.e., the mean of your absolute difference in between the predicted and actual worth, as well as the imply relative error, i.e., the ratio on the MAE on the measurement to the actual measurement, the Pearson coefficient of determination (R2 ), along with the F-test for two sample analyses of variance have been applied to measure the predictive accuracy of ANN, when appropriate. Data are offered as imply and regular deviation, absolute, or percentile values. Significance was assumed when p 0.001 taking into account the existence of numerous tests. Analyses were performed making use of SPSS 20.0 (Statistical Package for Social Science. Inc., Armonk, NY, USA). Precisely the same fitting was carried out with each of the equations/formulae on study. 3. Results 3.1. Information Set 1 three.1.1. Population Characteristics The whole population of your original data set (data set 1) consisted of 257 pediatric individuals (145 males, 56.4 ) of whom, 102 (39.five ) were mechanically ventilated. Their characteristics are shown in Table 1.Table 1. Anthropometric and metabolic measurements of the study population. N = 257 Demographic Age, years Male Anthropometric Weight, kg Height, cm BMI, kg/m2 z-score BMI z-score Streptonigrin manufacturer weight for age z-score ML-SA1 Autophagy height for age z-score weight for height Outcomes Mechanically ventilated Length of PICU stay, days two.four (six.0) # 145 (56.four) 15.six (12.two) 93.4 (30.5) 15.9 (3.2) -0.7 (two.0) -0.9 (1.7) -1.two (1.9) -0.six (2.0) 102 (39.5) 6.0 (12.0) # Metabolic (Indirect calorimetry) VO2 , L/min VCO2 , L/min RQ Resting Energy Expenditure, kcal/die Metabolic (equations/formulae) REE Harris enedict equation REE Harris enedict equation for infants Schofield (weight) equation Schofield (weight and height) equation FAO/WHO/UNU equation Oxford (weight) equation Oxford (weight and height) equation Talbot (weight) equation Talbot (height) equation Mehta equation 0.09 (0.05) 0.07 (0.04) 0.77 (0.12) 623.three (325.7) 824.3 (260.2) 964.3 (134.six) 700.9 (347.6) 703.0 (344.three) 701.four (353.1) 703.1 (335.9) 705.0 (332.8) 650.1 (332.4) 675.six (325.5) 475.six (257.0)Abbreviations: BMI = Body Mass Index; PICU = Pediatric Intensive Care Unit; VO2 = Oxygen Consumption; VCO2 = Carbone Dioxide Production; RQ = Respiratory Quotient; REE = Resting Power Expenditure; FAO = Meals and Agriculture Organization; WHO = Globe Overall health Organization; UNU = United Nation University. Data are presented as mean and normal deviation or frequency and percentage. mechanically ventilated children. # information are expressed as median and interquartile range (IQR) in accordance with their distribution.Nutrients 2021, 13,six of3.1.2. Linear Correlations Figure 1 shows the linear correlation values amongst the study variables and the REE value. As expected, VO2 , VCO2 , height, weight, and age had been very correlated with REE. In any case, the absolute value of Pearson R of the other variables was rather low, and this gives a additional rationale for the application of ANN, particularly when avoiding gas values.Figure 1. Correlations in between the study variables along with the REE worth. Abbreviations: VO2 = Oxygen Consumption; VCO2 = Carbone Dioxide Production; RQ = Respiratory Quotient; BMI = Physique Mass Index; z-BMI = z-score BMI; z-HFA = z-score Height for Age.3.1.3. Fitting of REE with the Equations Figure 2 show the genuine REE approximation obtained with each of the equation/formulae considered in the study. T.