Resumen

CARRASCO, F. et al. Agreement between measured and calculated by predictive formulas resting energy expenditure in severe and morbid obese women. Nutr. Hosp. [online]. 2007, vol.22, n.4, pp.410-416. ISSN 1699-5198.

Objective: To compare measured resting energy expenditure (REE) with that predicted by formulas derived from populations with normal weight or obesity and from women with severe and morbid obesity. Material and methods: 66 women (aged 35.6 ± 10.3 y and BMI of 44.7 ± 4.9 kg/m²) were evaluated by indirect calorimetry with a metabolic monitor Deltatrac (Datex Inst., Finland), before undergoing gastric bypass. REE was calculated with the following equations: Harris-Benedict's with both actual and adjusted weight, Ireton-Jones', Mifflin's, and Carrasco's Fast Estimation, which corresponds to 16.2 kcal × kg actual weight. Results: (mean ± sd). Measured REE was 1797 ± 239 kcal/day. All formulas, except Harris-Benedict's with adjusted weight, overestimated REE. The Ireton-Jones' equation presented the greater overestimation (689 ± 329 kcal/day), whereas Mifflin's equation overestimated REE only by 6 ± 202 kcal/day. No significant differences were detected between measured and calculated REE by Mifflin's and Carrasco's Fast Estimation. Accuracy (defined as difference between calculated and measured REE within ± 10%) was greater with Mifflin's equation (68%), followed by Harris-Benedict's with actual weight (64%) and Carrasco's Fast Estimation (61%). By using the Bland-Altman analysis, significant correlations were observed between calculated-measured REE and mean REE (calculated + measured/2) with all equations except Carrasco's Fast Estimation. This means that all but one formula underestimate or overestimate REE depending on the level of measured REE. Conclusion: In severe and morbid obese women, Mifflin's and Carrasco's Fast Estimation equations provided the best performance to estimate REE. Before recommending an equation in an a subset of individuals it is necessary to make previous validation studies to determine that equation with the best predictive power for this particular group of patients.

Palabras clave : Resting energy expenditure; Obesity; Predictive equations.

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