title: Clinical and demographic predictors of exercise capacity in end-stage renal disease.
abstract: Patients on maintenance hemodialysis therapy for end-stage renal disease have reduced exercise tolerance. Multiple processes related to uremia and hemodialysis have been implicated in the pathophysiology of this impairment. However, limited data are available to identify the separate and combined effects of clinical factors on the degree of impairment for individuals within this population. For this purpose, data from 193 patients who had undergone exercise testing for two clinical trials were retrospectively analyzed. Univariate and multiple linear regression analyses were used to identify demographic and clinical correlates of peak exercise oxygen uptake (VO2). Peak VO2 averaged 18.5 +/- 6.4 mL/min/kg. On univariate analysis, peak VO2 correlated positively with male sex and hemoglobin, serum albumin, and serum creatinine concentrations and correlated negatively with dialytic age and diagnosis of diabetes or chronic heart failure. In a multiple linear regression model, sex, hemoglobin concentration, age, and diagnosis of diabetes each remained statistically significant. Together, factors included in the model accounted for 41% of the variability in peak VO2 (P = 0.0001). Among factors not correlating significantly with peak VO2 were resting blood pressure, serum carnitine level, and urea clearance assessed by Kt/V. Findings show the range of exercise impairment among clinically stable ambulatory hemodialysis patients, which may be sufficient to interfere with normal daily activities for many of these patients. Although this impairment may be broadly attributable to physiological consequences of uremia, the degree of impairment for individual patients is predicted by demographic factors, coexistent disease, and factors potentially modified by medical therapeutics.
authors.affiliation: Department of Medicine, Harbor-UCLA Research and Education Institute, Torrance, CA, USA. ksietsema@rei.edu
authors.forename: Kathy E
authors.initials: KE
authors.lastname: Sietsema
authors.forename: William R
authors.initials: WR
authors.lastname: Hiatt
authors.forename: Anne
authors.initials: A
authors.lastname: Esler
authors.forename: Sharon
authors.initials: S
authors.lastname: Adler
authors.forename: Antonino
authors.initials: A
authors.lastname: Amato
authors.forename: Eric P
authors.initials: EP
authors.lastname: Brass
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000704:Analysis of Variance; D001794:Blood Pressure / Q000502:physiology; D003404:Creatinine / Q000097:blood; D005080:Exercise Test; D017079:Exercise Tolerance / Q000502:physiology*; D005260:Female; D006339:Heart Rate / Q000502:physiology; D006454:Hemoglobins / Q000378:metabolism; D006801:Humans; D007676:Kidney Failure, Chronic / Q000503:physiopathology* / Q000628:therapy; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D010101:Oxygen Consumption; D011237:Predictive Value of Tests; D006435:Renal Dialysis; D012709:Serum Albumin / Q000378:metabolism; D012737:Sex Factors
chemical_list: D006454:Hemoglobins; D012709:Serum Albumin; D003404:Creatinine