NDT Advance Access first published online on September 5, 2006
This version published online on October 5, 2006
Nephrology Dialysis Transplantation, doi:10.1093/ndt/gfl432
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1 School of Sport, Health and Exercise Sciences, University of Wales-Bangor, George Building, Bangor, Gwynedd, LL57 2PZ, UK
* To whom correspondence should be addressed. Background. In this article (the second of two companion studies), we report whether bioelectrical impedance analysis (BIA) can be used to predict muscle mass in patients with chronic kidney disease (CKD), and whether using this predicted muscle mass can improve the estimation of glomerular filtration rate (GFR). Methods. Seventy five non-diabetic patients with CKD (mean age ± SD, 65.1 ± 12.0 years; mean GFR 45.9 ± 28.8 ml/min/1.73 m2) underwent body composition analysis by dual energy X-ray absorptiometry to provide a criterion marker of skeletal muscle mass (appendicular lean mass, ALM). Validity of a published BIA equation to predict ALM was evaluated and a new BIA equation was generated (ALMBIA) and cross-validated by the leave-one-out procedure. Renal inulin clearance provided a criterion measure of GFR (GFRinu). The performance of the equation including ALMBIA to estimate GFRinu was compared with demographic variables as used in the modification of diet in renal disease (MDRD) equation, by determining bias, limits of agreement and accuracy. Results. The previously published BIA equation to predict ALM was not valid in these patients with CKD. In contrast, our new ALMBIA equation cross-validated successfully. Compared with the MDRD demographic variables, using ALMBIA to predict GFRinu improved estimation performance, showing reduced bias (4.3 vs 15.6 ml/min) and improved limits of agreement (41.1 vs 59.2 ml/min) and accuracy (69.7 vs 39.4% of patients’ predicted GFR did not deviate by more than 30% of GFRinu). Conclusions. ALMBIA provides a clinically obtainable and valid method to predict muscle mass in patients with CKD, and using ALMBIA improves the estimation of GFRinu. Researchers developing future GFR estimation equations should consider including ALMBIA. This version contains a change to the author's name.
Received February 13, 2006
Accepted June 22, 2006
Original Article
Bioelectrical impedance can be used to predict muscle mass and hence improve estimation of glomerular filtration rate in non-diabetic patients with chronic kidney disease
Jamie H. Macdonald 1 *, Samuele M. Marcora 1, Mahdi Jibani 2, Gareth Roberts 2, Mick John Kumwenda 3, Ruth Glover 3, Jeffrey Barron 4, and Andrew Bruce Lemmey 1
2 Renal Unit, Ysbyty Gwynedd, Penrhosgarnedd, Bangor, Gwynedd, LL57 2PW, UK
3 Renal Unit, Ysbyty Glan Clwyd, Rhyl, Denbighshire, LL18 5UJ, UK
4 Department of Chemical Pathology and Metabolism, St Helier Hospital, Carshalton, Surrey, SM5 1AA, UK
Jamie H. Macdonald, E-mail: j.h.macdonald{at}bangor.ac.uk
Abstract 
CiteULike 
Connotea 
Del.icio.us What's this?
This article has been cited by other articles:
|
|
 |
|
  J. H. Macdonald, S. M. Marcora, M. J. Kumwenda, M. Jibani, G. Roberts, R. Glover, J. Barron, and A. B. Lemmey The relationship between estimated glomerular filtration rate, demographic and anthropometric variables is mediated by muscle mass in non-diabetic patients with chronic kidney disease Nephrol. Dial. Transplant., December 1, 2006; 21(12): 3488 - 3494. [Abstract] [Full Text] [PDF]
|
|