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Improving Reporting of Exercise Capacity Across Age Ranges Using Novel Workload Reference Equations.
Santana, Everton J; Christle, Jeffrey W; Cauwenberghs, Nicholas; Peterman, James E; Busque, Vincent; Gomes, Bruna; Bagherzadeh, Shadi P; Moneghetti, Kegan; Kuznetsova, Tatiana; Wheeler, Matthew; Ashley, Euan; Harber, Matthew P; Arena, Ross; Kaminsky, Leonard A; Myers, Jonathan; Haddad, Francois.
Afiliación
  • Santana EJ; Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California; Stanford Cardiovascular Institute, Stanford University, Stanford, California; Research Unit Hypertension and Cardiovascular Epidemiology, Department of Cardiovascular Sciences, University of Leuven, Le
  • Christle JW; Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California; Stanford Cardiovascular Institute, Stanford University, Stanford, California; Stanford Sports Cardiology, Department of Medicine, Stanford University, Stanford, California.
  • Cauwenberghs N; Research Unit Hypertension and Cardiovascular Epidemiology, Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
  • Peterman JE; Fisher Institute of Health and Well-Being, Ball State University, Muncie, Indiana.
  • Busque V; Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California.
  • Gomes B; Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California; Stanford Cardiovascular Institute, Stanford University, Stanford, California; Department of Cardiology, Pneumology and Angiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Bagherzadeh SP; Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California.
  • Moneghetti K; Baker Department of Cardiometabolic Health, University of Melbourne, Melbourne, Australia.
  • Kuznetsova T; Research Unit Hypertension and Cardiovascular Epidemiology, Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
  • Wheeler M; Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California.
  • Ashley E; Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California; Department of Genetics, Stanford University School of Medicine, Stanford, California; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, California.
  • Harber MP; Clinical Exercise Physiology Laboratory, College of Health, Ball State University, Muncie, Indiana.
  • Arena R; Department of Physical Therapy, College of Applied Sciences, University of Illinois at Chicago, Chicago, Illinois; Healthy Living for Pandemic Event Protection (HL - PIVOT) Network, Chicago, Illinios.
  • Kaminsky LA; Fisher Institute of Health and Well-Being, Ball State University, Muncie, Indiana; Clinical Exercise Physiology Laboratory, College of Health, Ball State University, Muncie, Indiana; Healthy Living for Pandemic Event Protection (HL - PIVOT) Network, Chicago, Illinios.
  • Myers J; Healthy Living for Pandemic Event Protection (HL - PIVOT) Network, Chicago, Illinios; Division of Cardiology, Veterans Affairs Palo Alto Healthcare System and Stanford University, Palo Alto, California. Electronic address: drj993@aol.com.
  • Haddad F; Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California; Stanford Cardiovascular Institute, Stanford University, Stanford, California; Stanford Diabetes Research Center, Stanford University, Stanford, California; Wu Tsai Performance Alliance, Stanford Univer
Am J Cardiol ; 215: 32-41, 2024 03 15.
Article en En | MEDLINE | ID: mdl-38301753
ABSTRACT
Exercise capacity (EC) is an important predictor of survival in the general population and in subjects with cardiopulmonary disease. Despite its relevance, considering the percent-predicted workload (%pWL) given by current equations may overestimate EC in older adults. Therefore, to improve the reporting of EC in clinical practice, our main objective was to develop workload reference equations (pWL) that better reflect the relation between workload and age. Using the Fitness Registry and the Importance of Exercise National Database (FRIEND), we analyzed a reference group of 6,966 apparently healthy participants and 1,060 participants with heart failure who underwent graded treadmill cardiopulmonary exercise testing. For the first group, the mean age was 44 years (18 to 79); 56.5% of participants were males and 15.4% had obesity. Peak oxygen consumption was 11.6 ± 3.0 METs in males and 8.5 ± 2.4 METs in females. After partition analysis, we first developed sex-specific pWL equations to allow comparisons to a healthy weight reference. For males, pWL (METs) = 14.1-0.9×10-3×age2 and 11.5-0.87×10-3×age2 for females. We used those equations as denominators of %pWL, and based on their distribution, we determined thresholds for EC classification, with average EC defined by the range corresponding to 85% to 115%pWL. Compared with %pWL using current equations, the new equations yielded better-calibrated %pWL across different age ranges. We also derived body mass index-adjusted pWL equations that better assessed EC in subjects with heart failure. In conclusion, the novel pWL equations have the potential to impact the report of EC in practice.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedad Cardiopulmonar / Insuficiencia Cardíaca Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Child, preschool / Female / Humans / Male Idioma: En Revista: Am J Cardiol Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedad Cardiopulmonar / Insuficiencia Cardíaca Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Child, preschool / Female / Humans / Male Idioma: En Revista: Am J Cardiol Año: 2024 Tipo del documento: Article