Validation of predictive equations for resting energy expenditure in adult outpatients and inpatients

Clinical Nutrition

Volumn 27, Issue 1, 2008, Pages 150-157

  Weijs, Peter J M ^a   Kruizenga, Hinke M ^a   van Dijk, Aimee E ^a   van der Meij, Barbara S ^a   Langius, Jacqueline A E ^a   Knol, Dirk L ^a   Strack van Schijndel, Robert J M ^a   van Bokhorst de van der Schueren, Marian A E ^a  

^a VU UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

Indirect calorimetry; Inpatient; Outpatient; Predictive equation; Resting energy expenditure; Validation

Indexed keywords

ADULT; AGE; ANALYTICAL ERROR; ANOREXIA; ARTICLE; BODY HEIGHT; BODY WEIGHT; CALORIMETRY; CELIAC DISEASE; CONTROLLED STUDY; DIABETES MELLITUS; ENERGY EXPENDITURE; ENTERITIS; FEMALE; GASTROINTESTINAL SURGERY; GRAFT VERSUS HOST REACTION; HEAD AND NECK CANCER; HOSPITAL PATIENT; HUMAN; INFECTION; IRRITABLE COLON; LUNG DISEASE; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL COMPUTING; NEUROLOGIC DISEASE; NUTRITIONAL REQUIREMENT; OBESITY; OUTPATIENT; PREDICTION; PULMONARY HYPERTENSION; REST; SEX DIFFERENCE; SHORT BOWEL SYNDROME; THYROID DISEASE; UNDERWEIGHT; VALIDATION STUDY;

ADULT; AGE FACTORS; BASAL METABOLISM; BODY MASS INDEX; CALORIMETRY, INDIRECT; CASE-CONTROL STUDIES; ENERGY METABOLISM; FEMALE; HUMANS; MALE; MATHEMATICS; MIDDLE AGED; NUTRITIONAL REQUIREMENTS; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SEX FACTORS;

EID: 38849197787     PISSN: 02615614     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.clnu.2007.09.001     Document Type: Article

References (33)

1. Elia M. Insights into energy requirements in disease. Public Health Nutr 8 (2005) 1037-1052
2. Müller M.J., Bosy-Westphal A., Klaus S., Kreymann G., Lührmann P.M., Neuhäuser-Berthold M., et al. World Health Organization equations have shortcomings for predicting resting energy expenditure in persons from a modern, affluent population: generation of a new reference standard from a retrospective analysis of a German database of resting energy expenditure. Am J Clin Nutr 80 (2004) 1379-1390
3. Huang K.C., Kormas N., Steinbeck K., Loughnan G., and Caterson I.D. Resting metabolic rate in severely obese diabetic and nondiabetic subjects. Obes Res 12 (2004) 840-845
4. Roza A.M., and Shizgal H.M. The Harris Benedict equation reevaluated: resting energy requirements and the body cell mass. Am J Clin Nutr 40 (1984) 168-182
5. FAO/WHO/UNU. Energy and protein requirements. WHO technical report series. Geneva; 1985.
6. Department of Health. Dietary reference values for food energy and nutrients for the United Kingdom. London: HMSO; 1991.
7. Ireton-Jones C.S., Turner W.W., Liepa G.U., and Baxter C.R. Equations for estimation of energy expenditures of patients with burns with special reference to ventilatory status. J Burn Care Rehab 13 (1992) 330-333
8. Frankenfield D.C., Rowe W.A., Smith J.S., and Cooney R.N. Validation of several established equations for resting metabolic rate in obese and nonobese people. J Am Diet Assoc 103 (2003) 1152-1159
9. MacDonald A., and Hildebrandt L. Comparison of formuleic equations to determine energy expenditure in the critically ill patient. Nutrition 19 (2003) 233-239
10. Glynn C.C., Greene G.W., Winkler M.F., and Albina J.E. Predictive versus measured energy expenditure using limits-of-agreement analysis in hospitalized, obese patients. J Parenter Enteral Nutr 23 (1999) 147-154
11. Barak N., Wall-Alonso E., and Sitrin M.D. Evaluation of stress factors and body weight adjustments currently used to estimate energy expenditure in hospitalized patients. J Parenter Enteral Nutr 26 (2002) 231-238
12. Weir J.B. New methods for calculating metabolic rate with special reference to protein metabolism. J Physiol 109 (1949) 1-9
13. Ramirez-Zea M. Validation of three predictive equations for basal metabolic rate in adults. Public Health Nutr 8 (2005) 1213-1228
14. Kutner M.H., Nachtsheim C.J., Neter J., and Li W. Applied linear statistical models. 5th ed. (2005), McGraw-Hill/Irwin, New York
15. Lin L.I. A concordance correlation coefficient to evaluate reproducibility. Biometrics 45 (1989) 255-268
16. Frankenfield D., Roth-Yousey L., and Compher C. Comparison of predictive equations for resting metabolic rate in healthy nonobese and obese adults: a systematic review. J Am Diet Assoc 105 (2005) 775-789
17. Schofield W.N. Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr 39C (1985) 5-41
18. Henry C.J.K. Basal metabolic rate studies in humans: measurement and development of new equations. Public Health Nutr 8 (2005) 1133-1152
19. Cole T.J., and Henry C.J. The Oxford Brookes basal metabolic rate database-a reanalysis. Public Health Nutr 8 (2005) 1202-1212
20. Harris J.A., and Benedict F.G. A biometric study of basal metabolism in man (1919), Carnegie Institute of Washington, Washington, DC
21. Owen O.E., Holup J.L., D'Alessio D.A., Craig E.S., Polansky M., Smalley K.J., et al. A reappraisal of the caloric requirements of men. Am J Clin Nutr 46 (1987) 875-885
22. Owen O.E., Kavle E., Owen R.S., Polansky M., Caprio S., Mozzoli M.A., et al. A reappraisal of caloric requirements in healthy women. Am J Clin Nutr 44 (1986) 1-19
23. Mifflin M.D., St Jeor S.T., Hill L.A., Scott B.J., Daugherty S.A., and Koh Y.O. A new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr 51 (1990) 241-247
24. De Luis D.A., Aller R., Izaola O., and Romero E. Prediction equation of resting energy expenditure in an adult Spanish population of obese adult population. Ann Nutr Metab 50 (2006) 193-196
25. Bernstein R.S., Thornton J.C., Yang M.U., Wang J., Redmond A.M., Pierson R.N., et al. Prediction of the resting metabolic rate in obese patients. Am J Clin Nutr 37 (1983) 595-602
26. Moreira da Rocha E.E., Alves V.G.F., Silva M.H.N., Chiesa C.A., and da Fonseca R.B.V. Can measured resting energy expenditure be estimated by formulae in daily clinical nutrition practice?. Curr Opin Clin Nutr Metab Care 8 (2005) 319-328
27. Sauerwein H.P., and Strack van Schijndel R.J.M. Perspective: how to evaluate studies on peri-operative nutrition?. Clin Nutr 26 (2007) 154-158
28. Daly J.M., Heymsfield S.B., Head C.A., Harvey L.P., Nixon D.W., Katzeff H., et al. Human energy requirements: overestimation by widely used prediction equations. Am J Clin Nutr 42 (1985) 1170-1174
29. Ahmad A., Duerksen D.R., Munroe S., and Bistrian B.R. An evaluation of resting energy expenditure in hospitalized, severely underweight patients. Nutrition 15 (1999) 384-388
30. Frankenfield D.C., Muth E.R., and Rowe W.A. The Harris-Benedict studies of human basal metabolism: history and limitations. J Am Diet Assoc 98 (1998) 439-445
31. Krenitsky J. Adjusted body weight, pro: evidence to support the use of adjusted body weight in calculating calorie requirements. Nutr Clin Pract 20 (2005) 468-473
32. Ireton-Jones C. Adjusted body weight, con: why adjust body weight in energy-expenditure calculations?. Nutr Clin Pract 20 (2005) 474-479
33. Food and Nutrition Board, Institute of Medicine. Dietary reference intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein, and amino acids (2002), National Academy Press, Washington, DC