University of Hertfordshire

By the same authors

Determinants of active energy expenditure in haemodialysis patients

Research output: Contribution to journalArticlepeer-review

Standard

Determinants of active energy expenditure in haemodialysis patients. / Mrcp, Heidy Hendry; Sridharan, Sivakumar; Farrington, Ken; Davenport, Andrew.

In: Clinical physiology and functional imaging, 06.05.2022.

Research output: Contribution to journalArticlepeer-review

Harvard

APA

Vancouver

Author

Bibtex

@article{ead36b92cf704c8dbca3b5b1be19f44c,
title = "Determinants of active energy expenditure in haemodialysis patients",
abstract = "BACKGROUND: Less active haemodialysis patients have an increased risk of mortality. We wished to determine which factors were associated with active energy expenditure (AEE), METHODS: We used the validated recent physical activity questionnaire to determine AEE, and estimated dietary protein intake and creatinine generation rates. We measured extracellular and total body water ratio (ECW/TBW) and appendicular lean muscle with bioimpedance, and arm strength by hand grip strength (HGS). Patients were graded using the Charlson co-morbidity, and the Clinical Frailty Score (CFS).RESULTS: AEE was calculated in 98 patients (64 male), mean age 62.1±15.5 years, and AEE was negatively associated with CFS (r=-0.48), ECW/TBW (r=-0.47), and age (r=-0.4), all p<0.001, Charlson co-morbidity score (-0.27, p=0.007), and positively with serum creatinine (r=0.38, p<0.010), and HGS (r=0.25, p=0.016). Although protein nitrogen accumulation and creatinine generation were associated with resting energy expenditure (r=0.7 and r=0.44 respectively, both p<.0001), neither were associated with AEE. On multivariable analysis only CFS remained independently associated with AEE (β-0.031, 95% limits -0.057 to -0.004, p=0.024), although both age (negative p=0.07), and ALM (positive p=0.081) were retained in the model.CONCLUSIONS: We found that AEE was lower with increasing frailty, age, loss of cell mass, co-morbidity and inflammation, and greater AEE in patients with higher serum creatinine and albumin, and greater muscle strength on univariate analysis, but only frailty remained independently associated on multivariable analysis. Whether exercise programmes designed to increase AEE in haemodialysis patients can improve frailty scores, and so reduce mortality risk reman to be determined. This article is protected by copyright. All rights reserved.",
author = "Mrcp, {Heidy Hendry} and Sivakumar Sridharan and Ken Farrington and Andrew Davenport",
note = "This article is protected by copyright. All rights reserved.",
year = "2022",
month = may,
day = "6",
doi = "10.1111/cpf.12761",
language = "English",
journal = "Clinical physiology and functional imaging",
issn = "1475-0961",
publisher = "Wiley-Blackwell Publishing Ltd",

}

RIS

TY - JOUR

T1 - Determinants of active energy expenditure in haemodialysis patients

AU - Mrcp, Heidy Hendry

AU - Sridharan, Sivakumar

AU - Farrington, Ken

AU - Davenport, Andrew

N1 - This article is protected by copyright. All rights reserved.

PY - 2022/5/6

Y1 - 2022/5/6

N2 - BACKGROUND: Less active haemodialysis patients have an increased risk of mortality. We wished to determine which factors were associated with active energy expenditure (AEE), METHODS: We used the validated recent physical activity questionnaire to determine AEE, and estimated dietary protein intake and creatinine generation rates. We measured extracellular and total body water ratio (ECW/TBW) and appendicular lean muscle with bioimpedance, and arm strength by hand grip strength (HGS). Patients were graded using the Charlson co-morbidity, and the Clinical Frailty Score (CFS).RESULTS: AEE was calculated in 98 patients (64 male), mean age 62.1±15.5 years, and AEE was negatively associated with CFS (r=-0.48), ECW/TBW (r=-0.47), and age (r=-0.4), all p<0.001, Charlson co-morbidity score (-0.27, p=0.007), and positively with serum creatinine (r=0.38, p<0.010), and HGS (r=0.25, p=0.016). Although protein nitrogen accumulation and creatinine generation were associated with resting energy expenditure (r=0.7 and r=0.44 respectively, both p<.0001), neither were associated with AEE. On multivariable analysis only CFS remained independently associated with AEE (β-0.031, 95% limits -0.057 to -0.004, p=0.024), although both age (negative p=0.07), and ALM (positive p=0.081) were retained in the model.CONCLUSIONS: We found that AEE was lower with increasing frailty, age, loss of cell mass, co-morbidity and inflammation, and greater AEE in patients with higher serum creatinine and albumin, and greater muscle strength on univariate analysis, but only frailty remained independently associated on multivariable analysis. Whether exercise programmes designed to increase AEE in haemodialysis patients can improve frailty scores, and so reduce mortality risk reman to be determined. This article is protected by copyright. All rights reserved.

AB - BACKGROUND: Less active haemodialysis patients have an increased risk of mortality. We wished to determine which factors were associated with active energy expenditure (AEE), METHODS: We used the validated recent physical activity questionnaire to determine AEE, and estimated dietary protein intake and creatinine generation rates. We measured extracellular and total body water ratio (ECW/TBW) and appendicular lean muscle with bioimpedance, and arm strength by hand grip strength (HGS). Patients were graded using the Charlson co-morbidity, and the Clinical Frailty Score (CFS).RESULTS: AEE was calculated in 98 patients (64 male), mean age 62.1±15.5 years, and AEE was negatively associated with CFS (r=-0.48), ECW/TBW (r=-0.47), and age (r=-0.4), all p<0.001, Charlson co-morbidity score (-0.27, p=0.007), and positively with serum creatinine (r=0.38, p<0.010), and HGS (r=0.25, p=0.016). Although protein nitrogen accumulation and creatinine generation were associated with resting energy expenditure (r=0.7 and r=0.44 respectively, both p<.0001), neither were associated with AEE. On multivariable analysis only CFS remained independently associated with AEE (β-0.031, 95% limits -0.057 to -0.004, p=0.024), although both age (negative p=0.07), and ALM (positive p=0.081) were retained in the model.CONCLUSIONS: We found that AEE was lower with increasing frailty, age, loss of cell mass, co-morbidity and inflammation, and greater AEE in patients with higher serum creatinine and albumin, and greater muscle strength on univariate analysis, but only frailty remained independently associated on multivariable analysis. Whether exercise programmes designed to increase AEE in haemodialysis patients can improve frailty scores, and so reduce mortality risk reman to be determined. This article is protected by copyright. All rights reserved.

U2 - 10.1111/cpf.12761

DO - 10.1111/cpf.12761

M3 - Article

C2 - 35522167

JO - Clinical physiology and functional imaging

JF - Clinical physiology and functional imaging

SN - 1475-0961

ER -