Accuracy of Resting Energy Expenditure Estimation Equations in Polio Survivors.

OBJECTIVE

To evaluate the accuracy of 4 equations validated for the general population to determine resting energy expenditure (REE) in polio survivors.

DESIGN

A descriptive, ambispective, single-center observational cohort study of minimal risk care.

SETTING

Tertiary university care hospital.

PARTICIPANTS

DATAPOL database of polio survivors followed up in a specialist department (N=298).

INTERVENTIONS: None.

MAIN OUTCOMES MEASURES: REE measurement by indirect calorimetry and estimated REE using 4 equations and comparing the values with indirect calorimetry. Analysis of correlations between measured REE and weight, height, and body mass index (BMI) and indicators of severity of polio sequelae.

RESULTS

Of the 298 polio cases in the database between January 2014 and May 2017, 41 were included (19 men and 22 women). Mean±SD BMI was 26.0±5.6 kg/m2 (56.1% below 25). Measured REE correlated significantly and positively with weight and weaker with BMI. Correlations between measured and estimated REE were strong (between 0.49 and 0.59); correlations were strongest for the simplified World Health Organization and the Harris and Benedict equations. However, the equations systematically overestimated REE by more than 20%, especially in men. We calculated a correction factor for the World Health Organization scale: -340.3 kcal/d for women and -618.8 kcal/d for men.

CONCLUSION

Analysis of REE is important for polio survivors; The use of estimation equations could lead to the prescription of a nonadapted diet. We determined a correction factor that should be validated in prospective studies.