Literature DB >> 27380882

Comparison of resting and total energy expenditure in peritoneal dialysis patients and body composition measured by dual-energy X-ray absorptiometry.

S El-Kateb1, S Sridharan2, K Farrington2,3, A Davenport1.   

Abstract

Under basal resting conditions muscle metabolism is reduced, whereas metabolism increases with physical activity. We wished to determine whether there was an association between resting energy expenditure (REE) and total energy expenditure (TEE) in peritoneal dialysis (PD) patients and lean body mass (LBM). We determined REE and TEE by recently validated equations, using doubly labelled isotopic water, and LBM by dual-energy X-ray absorptiometry (DXA) scanning. We studied 87 patients, 50 male (57.4%), 25 diabetic (28.7%), mean age 60.3±17.6 years, with a median PD treatment of 11.4 (4.7-29.5) months. The mean weight was 70.1±17.7 kg with a REE of 1509±245 kcal/day and TEE 1947±378 kcal/day. REE was associated with body size (weight r=0.78 and body mass index (BMI) r=0.72) and body composition (LBM r=0.77, lean body mass index (LBMI) r=0.76, r=0.62), all P<0.001). For TEE, there was an association with weight r=0.58, BMI r=0.49 and body composition (LBM r=0.64, LBMI (r=0.54), all P<0.001). We compared LBMI measured by DXA and that estimated by the Boer equation using anthropomorphic measurements, which overestimated and underestimated LBM for smaller patients and heavier patients, respectively. Muscle metabolism is reduced at rest and increases with physical activity. Whereas previous reports based on REE did not show any association with LBM, we found an association between both REE and TEE, using a recently validated equation derived from dialysis patients, and LBM measured by DXA scanning. Estimation of muscle mass from anthropomorphic measurements systematically overestimated LBM for small patients and conversely underestimated for heavier patients.

Entities:  

Mesh:

Year:  2016        PMID: 27380882     DOI: 10.1038/ejcn.2016.120

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  10 in total

1.  2011 Compendium of Physical Activities: a second update of codes and MET values.

Authors:  Barbara E Ainsworth; William L Haskell; Stephen D Herrmann; Nathanael Meckes; David R Bassett; Catrine Tudor-Locke; Jennifer L Greer; Jesse Vezina; Melicia C Whitt-Glover; Arthur S Leon
Journal:  Med Sci Sports Exerc       Date:  2011-08       Impact factor: 5.411

2.  Assessment of body composition in peritoneal dialysis patients using bioelectrical impedance and dual-energy x-ray absorptiometry.

Authors:  Antje Fürstenberg; Andrew Davenport
Journal:  Am J Nephrol       Date:  2011-02-03       Impact factor: 3.754

3.  Comparison of energy estimates in chronic kidney disease using doubly-labelled water.

Authors:  S Sridharan; J Wong; E Vilar; K Farrington
Journal:  J Hum Nutr Diet       Date:  2015-07-15       Impact factor: 3.089

4.  Resting energy expenditure in peritoneal dialysis patients.

Authors:  Ana P Bazanelli; Maria A Kamimura; Camila Barbosa da Silva; Carla M Avesani; Miriam G Garcia Lopes; Silvia R Manfredi; Sergio A Draibe; Lilian Cuppari
Journal:  Perit Dial Int       Date:  2006 Nov-Dec       Impact factor: 1.756

5.  Prevalence of and associations with reduced exercise capacity in peritoneal dialysis patients.

Authors:  Ming-Liang Zuo; Wen-Sheng Yue; Terence Yip; Flora Ng; Kwok-Fai Lam; Kai-Hang Yiu; Sing-Leung Lui; Hung-Fat Tse; Chung-Wah Siu; Wai-Kei Lo
Journal:  Am J Kidney Dis       Date:  2013-07-22       Impact factor: 8.860

6.  Comparison of multifrequency bioelectrical impedance analysis and dual-energy X-ray absorptiometry assessments in outpatient hemodialysis patients.

Authors:  Antje Fürstenberg; Andrew Davenport
Journal:  Am J Kidney Dis       Date:  2010-08-08       Impact factor: 8.860

7.  Health-related quality of life predicts outcomes but is not affected by peritoneal clearance: The ADEMEX trial.

Authors:  Ramon Paniagua; Dante Amato; Edward Vonesh; Amy Guo; Salim Mujais
Journal:  Kidney Int       Date:  2005-03       Impact factor: 10.612

8.  Resting energy expenditure and subsequent mortality risk in peritoneal dialysis patients.

Authors:  Angela Yee-Moon Wang; Mandy Man-Mei Sea; Nelson Tang; John E Sanderson; Siu-Fai Lui; Philip Kam-Tao Li; Jean Woo
Journal:  J Am Soc Nephrol       Date:  2004-12       Impact factor: 10.121

Review 9.  Comparison of proposed alternative methods for rescaling dialysis dose: resting energy expenditure, high metabolic rate organ mass, liver size, and body surface area.

Authors:  John T Daugirdas; Nathan W Levin; Peter Kotanko; Thomas A Depner; Martin K Kuhlmann; Glenn M Chertow; Michael V Rocco
Journal:  Semin Dial       Date:  2008 Sep-Oct       Impact factor: 3.455

10.  Disease-specific predictive formulas for energy expenditure in the dialysis population.

Authors:  Enric Vilar; Ashwini Machado; Andrew Garrett; Robert Kozarski; David Wellsted; Ken Farrington
Journal:  J Ren Nutr       Date:  2014-04-29       Impact factor: 3.655

  10 in total
  1 in total

1.  Prevalence of Low Energy Availability in Competitively Trained Male Endurance Athletes.

Authors:  Amy R Lane; Anthony C Hackney; Abbie Smith-Ryan; Kristen Kucera; Johna Registar-Mihalik; Kristin Ondrak
Journal:  Medicina (Kaunas)       Date:  2019-10-01       Impact factor: 2.430

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.