HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Full Text Full Text (PDF) Purchase Article View Shopping Cart Alert me when this article is cited Alert me if a correction is posted Citation Map Services Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Buchowski, M. S Articles by Wang, W. C Search for Related Content PubMed PubMed Citation Articles by Buchowski, M. S Articles by Wang, W. C Agricola Articles by Buchowski, M. S Articles by Wang, W. C

Equation to estimate resting energy expenditure in adolescents with sickle cell anemia^1,2,3

¹ From the Center for Nutrition and Department of Family and Community Medicine, Meharry Medical College, Nashville, TN (MSB); the Department of Medicine (MSB and KYC) and General Clinical Research Center (DB), Vanderbilt University Medical Center, Nashville, TN; and St Jude Hospital, Memphis (WCW).

Background: Basal energy requirements are higher in adolescents with sickle cell anemia (SCA) than in healthy control subjects. However, no equation is available to accurately predict their energy needs.

Objective: Our objective was to develop a clinically useful equation to estimate resting energy expenditure (REE) in adolescents with SCA.

Design: REE and other components of total energy expenditure were measured in adolescents with SCA (n = 37) and in control subjects (n = 23) for 24 h in a whole-room indirect calorimeter. Multiple linear regression analysis was used to describe the relations of REE with independent variables such as sex, weight, height, fat-free mass, fat mass, age, and hemoglobin concentration in adolescents with SCA. The Bland-Altman comparison technique was used to compare values predicted by existing equations with measured REE values.

Results: Mean (±SD) measured REEs were 7746 ± 974 and 6332 ± 869 kJ/d in the male and female subjects with SCA, respectively, and these values were 16% higher than those in the healthy control subjects. Standard equations underestimated REE by 12% (P 0.001) in adolescents with SCA and overestimated REE by 4% in control subjects (P = 0.01–0.29). Several REE regression equations for SCA were developed. The most parsimonious equation for males was REE (kJ/d) = 5461 + 77.7·weight (kg) - 233.2·hemoglobin (g/dL), or REE (kcal/d) = 1305 + 18.6·weight (kg) - 55.7·hemoglobin (g/dL). For females, the most parsimonious equation was REE (kJ/d) = 4603 + 55.6·weight (kg) - 126.2·hemoglobin (g/dL), or REE (kcal/d) = 1100 + 13.3·weight (kg) - 30.2·hemoglobin (g/dL).

Conclusion: The new equations have better agreement with the basal metabolic needs of adolescents with SCA than do standard predictive equations.

Key Words: Resting energy expenditure • sickle cell anemia • prediction equations • adolescents • African Americans

This article has been cited by other articles:

				G. S. Metsios, A. Stavropoulos-Kalinoglou, V. F. Panoulas, Y. Koutedakis, A. M. Nevill, K. M. J. Douglas, M. Kita, and G. D. Kitas New resting energy expenditure prediction equations for patients with rheumatoid arthritis Rheumatology, April 1, 2008; 47(4): 500 - 506. [Abstract] [Full Text] [PDF]