Predictions of resting energy expenditure in amyotrophic lateral sclerosis are greatly impacted by reductions in fat free mass

References

• Bouteloup, C., Desport, J. C., Clavelou, P., Guy, N., Derumeaux-Burel, H., Ferrier, A., & Couratier, P. (2009). Hypermetabolism in ALS patients: An early and persistent phenomenon. Journal of Neurology, 256, 1236–1242.10.1007/s00415-009-5100-z
   PubMed Web of Science ®Google Scholar
• Brooks, B. R., Miller, R. G., Swash, M., & Munsat, T. L. (2000). El Escorial revisited: Revised criteria for the diagnosis of amyotrophic lateral sclerosis. Amyotrophic Lateral Sclerosis and Other Motor Neuron Disorders, 1, 293–299.10.1080/146608200300079536
   PubMed Web of Science ®Google Scholar
• Cedarbaum, J. M., Stambler, N., Malta, E., Fuller, C., Hilt, D., Thurmond, B., … 1A complete listing of the BDNF Study Group. (1999). The ALSFRS-R: A revised ALS functional rating scale that incorporates assessments of respiratory function. Journal of the Neurological Sciences, 169, 13–21.10.1016/S0022-510X(99)00210-5
   PubMed Web of Science ®Google Scholar
• Cunningham, J. J. (1991). Body composition as a determinant of energy expenditure: A synthetic review and a proposed general prediction equation. The American Journal of Clinical Nutrition, 54, 963.
   PubMed Web of Science ®Google Scholar
• de Carvalho, M., Dengler, R., Eisen, A., England, J. D., Kaji, R., Kimura, J., … Swash, M. (2008). Electrodiagnostic criteria for diagnosis of ALS. Clinical Neurophysiology, 119, 497–503.10.1016/j.clinph.2007.09.143
   PubMed Web of Science ®Google Scholar
• Desport, J. C., Preux, P. M., Magy, L., Boirie, Y., Vallat, J. M., Beaufrere, B., Couratier, P. (2001). Factors correlated with hypermetabolism in patients with amyotrophic lateral sclerosis. The American Journal of Clinical Nutrition, 74, 328–334.
   PubMed Web of Science ®Google Scholar
• Desport, J. C., Preux, P. M., Truong, C. T., & Courat, L. (2000). Nutritional assessment and survival in ALS patients. Amyotrophic Lateral Sclerosis and Other Motor Neuron Disorders, 1, 91–96.
   PubMed Web of Science ®Google Scholar
• Desport, J. C., Preux, P. M., Truong, T. C., Vallat, J. M., Sautereau, D., & Couratier, P. (1999). Nutritional status is a prognostic factor for survival in ALS patients. Neurology, 53, 1059–1059.10.1212/WNL.53.5.1059
   PubMed Web of Science ®Google Scholar
• Desport, J. C., Torny, F., Lacoste, M., Preux, P. M., & Couratier, P. (2005). Hypermetabolism in ALS: Correlations with clinical and paraclinical parameters. Neurodegenerative Diseases, 2, 202–207.
   PubMed Web of Science ®Google Scholar
• Donahoo, W. T., Levine, J. A., & Melanson, E. L. (2004). Variability in energy expenditure and its components. Current Opinion in Clinical Nutrition and Metabolic Care, 7, 599–605.10.1097/00075197-200411000-00003
   PubMed Web of Science ®Google Scholar
• Fields, D. A., Goran, M. I., & McCrory, M. A. (2002). Body-composition assessment via air-displacement plethysmography in adults and children: A review. The American Journal of Clinical Nutrition, 75, 453–467.
   PubMed Web of Science ®Google Scholar
• Frankenfield, D., Hise, M., Malone, A., Russell, M., Gradwell, E., & Compher, C. (2007). Prediction of resting metabolic rate in critically ill adult patients: Results of a systematic review of the evidence. Journal of the American Dietetic Association, 107, 1552–1561.10.1016/j.jada.2007.06.010
   PubMedGoogle Scholar
• Funalot, B., Desport, J. C., Sturtz, F., Camu, W., & Couratier, P. (2009). High metabolic level in patients with familial amyotrophic lateral sclerosis. Amyotrophic Lateral Sclerosis, 10, 113–117.10.1080/17482960802295192
   PubMed Web of Science ®Google Scholar
• Genton, L., Viatte, V., Janssens, J. P., Heritier, A. C., & Pichard, C. (2011). Nutritional state, energy intakes and energy expenditure of amyotrophic lateral sclerosis (ALS) patients. Clinical Nutrition, 30, 553–559.10.1016/j.clnu.2011.06.004
   PubMed Web of Science ®Google Scholar
• Giavarina, D. (2015). Understanding Bland Altman analysis. Biochemia Medica, 25, 141–151.10.11613/issn.1846-7482
   PubMed Web of Science ®Google Scholar
• Harris, J. A., & Benedict, F. G. (1918). A biometric study of human basal metabolism. Proceedings of the National Academy of Sciences, 4, 370–373.10.1073/pnas.4.12.370
   PubMedGoogle Scholar
• Heymsfield, S. B., Thomas, D., Bosy-Westphal, A., Shen, W., Peterson, C. M., & Muller, M. J. (2012). Evolving concepts on adjusting human resting energy expenditure measurements for body size. Obesity Reviews, 13, 1001–1014.10.1111/obr.2012.13.issue-11
   PubMed Web of Science ®Google Scholar
• Ioannides, Z. A., Ngo, S. T., Henderson, R. D., McCombe, P. A., & Steyn, F. J. (2016). Altered metabolic homeostasis in amyotrophic lateral sclerosis: Mechanisms of energy imbalance and contribution to disease progression. Neurodegenerative Diseases, 16, 382–397.10.1159/000446502
   PubMed Web of Science ®Google Scholar
• Jawaid, A., Murthy, S., Wilson, A., Qureshi, S., Amro, M. J., Wheaton, M., … Schulz, P. E. (2010). A decrease in body mass index is associated with faster progression of motor symptoms and shorter survival in ALS. Neurology, 74, A207–A208.
   Web of Science ®Google Scholar
• Johnstone, A. M., Murison, S. D., Duncan, J. S., Rance, K. A., & Speakman, J. R. (2005). Factors influencing variation in basal metabolic rate include fat-free mass, fat mass, age, and circulating thyroxine but not sex, circulating leptin, or triiodothyronine. The American Journal of Clinical Nutrition, 82, 941–948.
   PubMed Web of Science ®Google Scholar
• Kasarskis, E. J., Berryman, S., Vanderleest, J. G., Schneider, A. R., & McClain, C. J. (1996). Nutritional status of patients with amyotrophic lateral sclerosis: Relation to the proximity of death. The American Journal of Clinical Nutrition, 63, 130–137.
   PubMed Web of Science ®Google Scholar
• Kasarskis, E. J., Mendiondo, M. S., Matthews, D. E., Mitsumoto, H., Tandan, R., Simmons, Z., … ALS Nutrition/NIPPV Study Group. (2014). Estimating daily energy expenditure in individuals with amyotrophic lateral sclerosis. American Journal of Clinical Nutrition, 99, 792–803.10.3945/ajcn.113.069997
   PubMed Web of Science ®Google Scholar
• Lowry, D. W., & Tomiyama, A. J. (2015). Air displacement plethysmography versus dual-energy x-ray absorptiometry in underweight, normal-weight, and overweight/obese individuals. PLoS One, 10, e0115086.10.1371/journal.pone.0115086
   PubMed Web of Science ®Google Scholar
• McCombe, P. A., & Henderson, R. D. (2010). Effects of gender in amyotrophic lateral sclerosis. Gender Medicine, 7, 557–570.10.1016/j.genm.2010.11.010
   PubMed Web of Science ®Google Scholar
• Mifflin, M. D., St Jeor, S. T., Hill, L. A., Scott, B. J., Daugherty, S. A., & Koh, Y. O. (1990). A new predictive equation for resting energy expenditure in healthy individuals. The American Journal of Clinical Nutrition, 51, 241–247.
   PubMed Web of Science ®Google Scholar
• Miller, S., Milliron, B. J., & Woolf, K. (2013). Common prediction equations overestimate measured resting metabolic rate in young hispanic women. Topics in Clinical Nutrition, 28, 120–135.10.1097/TIN.0b013e31828d7a1b
   PubMed Web of Science ®Google Scholar
• Mitchell, J. D., & Borasio, G. D. (2007). Amyotrophic lateral sclerosis. The Lancet, 369, 2031–2041.10.1016/S0140-6736(07)60944-1
   PubMed Web of Science ®Google Scholar
• Nau, K. L., Bromberg, M. B., Forshew, D. A., & Katch, V. L. (1995). Individuals with amyotrophic lateral sclerosis are in caloric balance despite losses in mass. Journal of the Neurological Sciences, 129, 47–49.10.1016/0022-510X(95)00061-6
   PubMed Web of Science ®Google Scholar
• Nelson, K. M., Weinsier, R. L., Long, C. L., & Schutz, Y. (1992). Prediction of resting energy expenditure from fat-free mass and fat mass. The American Journal of Clinical Nutrition, 56, 848–856.
   PubMed Web of Science ®Google Scholar
• Sherman, M. S., Pillai, A., Jackson, A., & Heiman-Patterson, T. (2004). Standard equations are not accurate in assessing resting energy expenditure in patients with amyotrophic lateral sclerosis. Journal of Parenteral and Enteral Nutrition, 28, 442–446.10.1177/0148607104028006442
   PubMed Web of Science ®Google Scholar
• Siri, W. E. (1961). Body composition from fluid spaces and density: Analysis of methods. Techniques for measuring body composition (pp. 223–224). Washington, DC: National Academy of Sciences, National Research Council.
   Google Scholar
• von Hurst, P. R., Walsh, D. C. I., Conlon, C. A., Ingram, M., Kruger, R., & Stonehouse, W. (2016). Validity and reliability of bioelectrical impedance analysis to estimate body fat percentage against air displacement plethysmography and dual-energy X-ray absorptiometry. Nutrition & Dietetics, 73, 197–204.10.1111/1747-0080.12172
   Web of Science ®Google Scholar
• Wang, Z., Heshka, S., Gallagher, D., Boozer, C. N., Kotler, D. P., & Heymsfield, S. B. (2000). Resting energy expenditure-fat-free mass relationship: New insights provided by body composition modeling. American Journal of Physiology - Endocrinology and Metabolism, 279, E539–E545.
   PubMed Web of Science ®Google Scholar
• Weijs, P. J. M. (2008). Validity of predictive equations for resting energy expenditure in US and Dutch overweight and obese class I and II adults aged 18-65 y. The American Journal of Clinical Nutrition, 88, 959.
   PubMed Web of Science ®Google Scholar
• Weijs, P. J. M., & Vansant, G. A. A. M. (2010). Validity of predictive equations for resting energy expenditure in Belgian normal weight to morbid obese women. Clinical Nutrition, 29, 347–351.10.1016/j.clnu.2009.09.009
   PubMed Web of Science ®Google Scholar
• Wills, A. M., Hubbard, J., Macklin, E. A., Glass, J., Tandan, R., Simpson, E. P., … Hanes, G. P. (2014). Hypercaloric enteral nutrition in patients with amyotrophic lateral sclerosis: A randomised, double-blind, placebo-controlled phase 2 trial. The Lancet, 383, 2065–2072.10.1016/S0140-6736(14)60222-1
   PubMed Web of Science ®Google Scholar