Agreement between measured energy expenditure and predictive energy equations in paediatric oncology

Purpose: Optimal nutritional support in childhood cancer relies on the adequate provision of energy. This study investigated impact chemotherapy resting energy expenditure (REE) during first six months treatment and accuracy predictive equations calculating said requirements newly diagnosed children with cancer.Methods: REE was measured at diagnosis utilising a validated bioelectrical impedance analysis (BIA) mobile unit compared three (Schofield 1985, World Health Organization [WHO] 1985 Recommended Dietary Allowance [RDA] 1989). Agreement these were tested by determining bias agreement rates displayed using Bland–Altman plot. Baseline values plotted against monthly follow-up measurements over time. Statistical significance 5% priori limits set between 90% 110% REE.Results: Forty-three median age 4 years (IQR 2.0–7.6) prior to initiation. Compared (mean ± SD) 719.53 206.29 kcal/day, all significantly overestimated REE: WHO (889.75 323.31 kcal/day; 23% overestimation), Schofield (899.62 336.10 25% overestimation) RDA (1647.67 481.06 129% (p < 0.001). Despite significant proportionate 0.001), intra-class consistency coefficient showed good reliability for (0.864) (0.849) equations. Though statistically (chi-square = 23.11, p 0.003), overall 1 kcal/kg (1.3%) increase types may not be clinically significant.Conclusion: Existing are unable calculate accurately diagnosis, highlighting need future investigations into development cancer-specific