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Quantifying assumptions underlying peak oxygen consumption equations across the body mass spectrum.
Busque, Vincent; Christle, Jeffrey W; Moneghetti, Kegan J; Cauwenberghs, Nicholas; Kouznetsova, Tatiana; Blumberg, Yair; Wheeler, Matthew T; Ashley, Euan; Haddad, Francois; Myers, Jonathan.
Affiliation
  • Busque V; Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California, USA.
  • Christle JW; Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA.
  • Moneghetti KJ; Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California, USA.
  • Cauwenberghs N; Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California, USA.
  • Kouznetsova T; Baker Department of Cardiometabolic Health, University of Melbourne, Melbourne, Victoria, Australia.
  • Blumberg Y; Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
  • Wheeler MT; Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
  • Ashley E; Azrieli Faculty of Medicine, Bar-Ilan University, Ramat Gan, Israel.
  • Haddad F; Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California, USA.
  • Myers J; Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California, USA.
Clin Obes ; 14(4): e12653, 2024 Aug.
Article in En | MEDLINE | ID: mdl-38475989
ABSTRACT
The goal of this study is to quantify the assumptions associated with the Wasserman-Hansen (WH) and Fitness Registry and the Importance of Exercise A National Database (FRIEND) predictive peak oxygen consumption (pVO2) equations across body mass index (BMI). Assumptions in pVO2 for both equations were first determined using a simulation and then evaluated using exercise data from the Stanford Exercise Testing registry. We calculated percent-predicted VO2 (ppVO2) values for both equations and compared them using the Bland-Altman method. Assumptions associated with pVO2 across BMI categories were quantified by comparing the slopes of age-adjusted VO2 ratios (pVO2/pre-exercise VO2) and ppVO2 values for different BMI categories. The simulation revealed lower predicted fitness among adults with obesity using the FRIEND equation compared to the WH equations. In the clinical cohort, we evaluated 2471 patients (56.9% male, 22% with BMI >30 kg/m2, pVO2 26.8 mlO2/kg/min). The Bland-Altman plot revealed an average relative difference of -1.7% (95% CI -2.1 to -1.2%) between WH and FRIEND ppVO2 values with greater differences among those with obesity. Analysis of the VO2 ratio to ppVO2 slopes across the BMI spectrum confirmed the assumption of lower fitness in those with obesity, and this trend was more pronounced using the FRIEND equation. Peak VO2 estimations between the WH and FRIEND equations differed significantly among individuals with obesity. The FRIEND equation resulted in a greater attributable reduction in pVO2 associated with obesity relative to the WH equations. The outlined relationships between BMI and predicted VO2 may better inform the clinical interpretation of ppVO2 values during cardiopulmonary exercise test evaluations.
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Full text: 1 Database: MEDLINE Main subject: Oxygen Consumption / Body Mass Index Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Clin Obes Year: 2024 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Main subject: Oxygen Consumption / Body Mass Index Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Clin Obes Year: 2024 Type: Article Affiliation country: United States