Kidney Week

Abstract: TH-PO521

Body Fat and Phase Angle, Rather Than Lean Mass, Show the Strongest Correlations with VO2 Peak in Stage 3 and 4 CKD Patients

Session Information

• CKD: Clinical Trials and Tubulointerstitial Disorders
  November 02, 2017 | Location: Hall H, Morial Convention Center
  Abstract Time: 10:00 AM - 10:00 AM

Category: Chronic Kidney Disease (Non-Dialysis)

• 305 CKD: Clinical Trials and Tubulointerstitial Disorders

Authors

• Taylor, Jacob M., Vanderbilt University Medical Center, Nashville, Tennessee, United States

Jacob M. Taylor,

• Alsouqi, Aseel, Vanderbilt University Medical Center, Nashville, Tennessee, United States

Aseel Alsouqi,

• Robinson-Cohen, Cassianne, University of Washington, Seattle, Washington, United States

Cassianne Robinson-Cohen,

• Ellis, Charles D., Vanderbilt University Medical Center, Nashville, Tennessee, United States

Charles D. Ellis,

• Headley, Sam A., Springfield College, Wilbraham, Massachusetts, United States

Sam A. Headley,

• Tuttle, Katherine R., University of Washington, Seattle, Washington, United States

Katherine R. Tuttle,

• Evans, Elizabeth E., Springfield College, Wilbraham, Massachusetts, United States

Elizabeth E. Evans,

• Germain, Michael J., Renal and Transplant Assoc of New England, Hampden, Massachusetts, United States

Michael J. Germain,

• Limkunakul, Chutatip, Srinakharinwirot University, Nonthaburi, Thailand

Chutatip Limkunakul,

• Bian, Aihua, Vanderbilt University Medical Center, Nashville, Tennessee, United States

Aihua Bian,

• Stewart, Thomas G., Vanderbilt University Medical Center, Nashville, Tennessee, United States

Thomas G. Stewart,

• Himmelfarb, Jonathan, University of Washington, Seattle, Washington, United States

Jonathan Himmelfarb,

• Ikizler, Talat Alp, Vanderbilt University Medical Center, Nashville, Tennessee, United States

Talat Alp Ikizler,

Background

VO₂ peak is a measure of aerobic fitness and is a good indicator of cardiovascular health. Understanding how body composition measures are correlated with VO₂ peak is important for developing targeted interventions aimed at improving health.

Methods

We performed a post-hoc analysis of a pilot randomized 4-arm trial examining the effects of diet and exercise (dietary restriction of 10%-15% reduction in caloric intake, exercise three times/week, combined diet and exercise and control)(NCT01150851). A total of 122 participants were consented, 111 were randomized, and 108 completed baseline VO₂ peak testing. Body composition metrics were measured via dual energy x-ray absorptiometry, including total mass, fat mass, lean mass, and fat free mass, body fat percentage (including android and gynoid fat percentage), body mass index, weight, and waist to hip ratio. In addition, body cell mass and phase angle were measured by bioelectrical impedance analysis. The primary outcome was to determine whether body composition measurements were correlated with VO₂ peak at baseline. Correlations were adjusted for age, gender, diabetes status, and site of study visits in the model.

Results

Most participants were male (57%), white (68%), and had 24% diabetes. Median (IQR) for age was 57 (49-63) years, with baseline VO₂ peak 19.6 (16.2-22.6) mL/kg/min. At baseline, body fat percentage (rs=-0.38), android (rs=-0.336) and gynoid fat percentage (rs=-0.313), body mass index (rs=-0.372), weight (rs=-0.282), and phase angle (rs=0.278) were all significantly correlated with VO₂ peak after adjustment (p<0.03 for each individual variable). Holding other covariates at the mean, the difference in VO₂ peak between the 25th and 75th percentiles of lean mass was 1.9 (-0.5,4.2) mL/kg/min, whereas the same difference comparing the 25th and 75th percentiles of fat mass was -3.6 (-5.5,-1.3) mL/kg/min.

Conclusion

Our findings indicated that body fat composition and phase angle, rather than lean mass, show the strongest correlations to VO₂ peak. An intervention aimed at reducing body fat or improving phase angle may prove effective at improving VO₂ peak in future research.

Funding

• Other NIH Support