Ben Oliveira1, Sivakumar Sridharan2, Ken Farrington2,3, Andrew Davenport1. 1. UCL Centre for Nephrology, Royal Free Hospital, University College London Medical School, London, UK. 2. Renal Unit, Lister Hospital, Stevenage, UK. 3. University of Hertfordshire, Hatfield, UK.
Abstract
AIM: Waste products of metabolism are retained in haemodialysis (HD) patients. Cellular metabolism generates energy, and patients with greater energy expenditure may therefore require more dialysis. The aim of the present study was to determine the amount of dialysis required, to determine equations estimating the required resting and total energy expenditure (REE, TEE). METHODS: Estimates of REE in HD patients were compared using established equations with a novel equation recently validated in HD patients (HD equation). TEE was derived from REE (HD equation) and estimates of physical activity obtained by questionnaire. REE and TEE relationships with bioimpedance measured body composition were then determined. RESULTS: A total of 317 HD patients were studied: 195 males (61.5%), 123 diabetic (38.9%), mean age 65.0 ± 15.3 and weight 73.1 ± 16.8 kg. REE from HD Equation was 1509 ± 241 kcal/day, which was greater than for Mifflin St Joer 1384 ± 259, Harris-Benedict 1437 ± 244, Katch-McArdle 1345 ± 232 (all P < 0.05 vs. HD Equation), but less than Cunningham 1557 ± 236 kcal/day. Bland-Altman mean bias ranged from -263 to 55 kcal/day. TEE was 1727 (1558-1976) kcal/day, and on multi-variable analysis was positively associated with skeletal muscle mass (β 23.3, P < 0.001), employment (β 406.5, P < 0.001), low co-morbidity (β 105.1, P = 0.006), and protein nitrogen appearance (β 2.7, P = 0.015), and negatively with age (β -7.9, P < 0.001), and dialysis vintage (β -121.2, P = 0.002). CONCLUSIONS: Most standard equations underestimate REE in HD patients compared to the HD Equation. TEE was greater in those with higher skeletal muscle mass and protein nitrogen appearance, lower co-morbidity, age, and dialysis vintage, and the employed. More metabolically active patients may require greater dialytic clearances.
AIM: Waste products of metabolism are retained in haemodialysis (HD) patients. Cellular metabolism generates energy, and patients with greater energy expenditure may therefore require more dialysis. The aim of the present study was to determine the amount of dialysis required, to determine equations estimating the required resting and total energy expenditure (REE, TEE). METHODS: Estimates of REE in HDpatients were compared using established equations with a novel equation recently validated in HDpatients (HD equation). TEE was derived from REE (HD equation) and estimates of physical activity obtained by questionnaire. REE and TEE relationships with bioimpedance measured body composition were then determined. RESULTS: A total of 317 HDpatients were studied: 195 males (61.5%), 123 diabetic (38.9%), mean age 65.0 ± 15.3 and weight 73.1 ± 16.8 kg. REE from HD Equation was 1509 ± 241 kcal/day, which was greater than for Mifflin St Joer 1384 ± 259, Harris-Benedict 1437 ± 244, Katch-McArdle 1345 ± 232 (all P < 0.05 vs. HD Equation), but less than Cunningham 1557 ± 236 kcal/day. Bland-Altman mean bias ranged from -263 to 55 kcal/day. TEE was 1727 (1558-1976) kcal/day, and on multi-variable analysis was positively associated with skeletal muscle mass (β 23.3, P < 0.001), employment (β 406.5, P < 0.001), low co-morbidity (β 105.1, P = 0.006), and protein nitrogen appearance (β 2.7, P = 0.015), and negatively with age (β -7.9, P < 0.001), and dialysis vintage (β -121.2, P = 0.002). CONCLUSIONS: Most standard equations underestimate REE in HDpatients compared to the HD Equation. TEE was greater in those with higher skeletal muscle mass and protein nitrogen appearance, lower co-morbidity, age, and dialysis vintage, and the employed. More metabolically active patients may require greater dialytic clearances.
Authors: Sivakumar Sridharan; Enric Vilar; Andrew Davenport; Neil Ashman; Michael Almond; Anindya Banerjee; Justin Roberts; Ken Farrington Journal: PLoS One Date: 2018-09-07 Impact factor: 3.240
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