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New Equations for Predicting Maximum Oxygen Uptake in Patients With Heart Failure.

Publication ,  Journal Article
Kokkinos, P; Kaminsky, LA; Arena, R; Zhang, J; Franklin, B; Kraus, W; Triantafyllidi, H; Benas, D; Whellan, DJ; Myers, J
Published in: Am J Cardiol
August 1, 2020

We obtained directly measured maximal oxygen uptake (VO2 max) by open-circuit spirometry in 1,453 patients with chronic heart failure (HF) who completed a treadmill test (n = 1,453) or cycle ergometry (n = 1,838), as participants in The Fitness Registry and the Importance of Exercise National Data Base (FRIEND) dataset. We developed a new equation to predict measured VO2 max in those using a treadmill by randomly sampling 70% of the participants from each of the following age categories: <40, 40 to 50, 50 to 70, and >70 and used the remaining 30% for validation. Multivariable linear regression analysis was applied to identify the most relevant variables and construct the best prediction model for VO2 max. Treadmill speed and treadmill speed * grade were considered in the final model as predictors of measured VO2 max and the following equation was generated: VO2 max in ml O2 kg/min = speed (m/min) * (0.17 + fractional grade * 0.32) +3.5. To assess the efficacy of the equation, we applied it to 1,612 patients in the HF-ACTION cohort. To assess the efficacy of the FRIEND cycle ergometry equation developed for healthy individuals we applied it to 1,838 HF patients in the FRIEND cohort and 306 patients in a Greek population of HF patients with directly measured VO2 max. The FRIEND equations were superior to ACSM equations in predicting VO2 max regardless of the cohort or exercise mode used (treadmill or cycle ergometry) to access VO2 max.

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Published In

Am J Cardiol

DOI

EISSN

1879-1913

Publication Date

August 1, 2020

Volume

128

Start / End Page

7 / 11

Location

United States

Related Subject Headings

  • Spirometry
  • Oxygen Consumption
  • Multivariate Analysis
  • Middle Aged
  • Metabolic Equivalent
  • Male
  • Linear Models
  • Humans
  • Heart Failure
  • Female
 

Citation

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Kokkinos, P., Kaminsky, L. A., Arena, R., Zhang, J., Franklin, B., Kraus, W., … Myers, J. (2020). New Equations for Predicting Maximum Oxygen Uptake in Patients With Heart Failure. Am J Cardiol, 128, 7–11. https://doi.org/10.1016/j.amjcard.2020.04.049
Kokkinos, Peter, Leonard A. Kaminsky, Ross Arena, Jiajia Zhang, Barry Franklin, William Kraus, Helen Triantafyllidi, Dimitrios Benas, David J. Whellan, and Jonathan Myers. “New Equations for Predicting Maximum Oxygen Uptake in Patients With Heart Failure.Am J Cardiol 128 (August 1, 2020): 7–11. https://doi.org/10.1016/j.amjcard.2020.04.049.
Kokkinos P, Kaminsky LA, Arena R, Zhang J, Franklin B, Kraus W, et al. New Equations for Predicting Maximum Oxygen Uptake in Patients With Heart Failure. Am J Cardiol. 2020 Aug 1;128:7–11.
Kokkinos, Peter, et al. “New Equations for Predicting Maximum Oxygen Uptake in Patients With Heart Failure.Am J Cardiol, vol. 128, Aug. 2020, pp. 7–11. Pubmed, doi:10.1016/j.amjcard.2020.04.049.
Kokkinos P, Kaminsky LA, Arena R, Zhang J, Franklin B, Kraus W, Triantafyllidi H, Benas D, Whellan DJ, Myers J. New Equations for Predicting Maximum Oxygen Uptake in Patients With Heart Failure. Am J Cardiol. 2020 Aug 1;128:7–11.
Journal cover image

Published In

Am J Cardiol

DOI

EISSN

1879-1913

Publication Date

August 1, 2020

Volume

128

Start / End Page

7 / 11

Location

United States

Related Subject Headings

  • Spirometry
  • Oxygen Consumption
  • Multivariate Analysis
  • Middle Aged
  • Metabolic Equivalent
  • Male
  • Linear Models
  • Humans
  • Heart Failure
  • Female