Matthew A. Saval
Henry Ford Hospital
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Featured researches published by Matthew A. Saval.
American Heart Journal | 2009
Stuart D. Russell; Matthew A. Saval; Jennifer L. Robbins; Myrvin H. Ellestad; Stephen S. Gottlieb; Eileen Handberg; Yi Zhou; Bleakley Chandler
BACKGROUND The New York Heart Association (NYHA) functional class is a subjective estimate of a patients functional ability based on symptoms that do not always correlate with the objective estimate of functional capacity, peak oxygen consumption (peak V(O2)). In addition, relationships between these 2 measurements have not been examined in the current medical era when patients are using beta-blockers, aldosterone antagonists, and cardiac resynchronization therapy (CRT). Using baseline data from the HF-ACTION (Heart Failure and A Controlled Trial Investigating Outcomes of Exercise TraiNing) study, we examined this relationship. METHODS One thousand seven hundred fifty-eight patients underwent a symptom-limited metabolic stress test and stopped exercise due to dyspnea or fatigue. The relationship between NYHA functional class and peak V(O2) was examined. In addition, the effects of beta-blockers, aldosterone antagonists, and CRT therapy on these relationships were compared. RESULTS The NYHA II patients have a significantly higher peak Vo(2) (16.1 +/- 4.6 vs 13.0 +/- 4.2 mL/kg per minute), a lower ventilation (Ve)/V(CO2) slope (32.8 +/- 7.7 vs 36.8 +/- 10.4), and a longer duration of exercise (11.0 +/- 3.9 vs 8.0 +/- 3.4 minutes) than NYHA III/IV patients. Within each functional class, there was no difference in any of the exercise parameters between patients on or off of beta-blockers, aldosterone antagonists, or CRT therapy. Finally, with increasing age, a significant difference in peak Vo(2), Ve/V(CO2) slope, and exercise time was found. CONCLUSION For patients being treated with current medical therapy, there still is a difference in true functional capacity between NYHA functional class II and III/IV patients. However, within each NYHA functional class, the presence or absence or contemporary heart failure therapies does not alter exercise parameters.
Medicine and Science in Sports and Exercise | 2017
Clinton A. Brawner; Jonathan K. Ehrman; Ali Shafiq; Matthew A. Saval; Stuart D. Russell; David E. Lanfear; Steven J. Keteyian
Purpose This study aimed to describe the influence of different equations to predict maximal oxygen uptake (MV˙O2) on the percent predicted MV˙O2 (ppMV˙O2) and the resultant categorization of patients with heart failure with reduced ejection fraction into high or low risk. Methods In this retrospective cohort study, ppMV˙O2 was calculated using six different equations to predict MV˙O2 among 1168 patients with heart failure with reduced ejection fraction (33% women). Repeated-measures ANOVA was used to compare within-subject differences in mean ppMV˙O2 between the prediction equations. Cochrane’s Q test was used to compare the within-subject difference in the proportion of patients with ppMV˙O2 of <50% (high risk) and ≥75% (low risk) between the prediction equations. Results The ppMV˙O2 varied significantly (P < 0.001) between the MV˙O2 prediction equations, with mean (10th, 90th percentile) ppMV˙O2 ranging from 39% (25%, 54%) to 60% (39%, 83%) in men and 37% (24%, 49%) to 70% (47%, 94%) in women. Significant variation (P < 0.001) was also observed between prediction equations for the proportion of patients with ppMV˙O2 of <50% and ≥75% in men and women. Conclusions Statistically significant and clinically meaningful variations in the ppMV˙O2 are observed on the basis of the reference equation used to predict MV˙O2. Future writing committees should specify the preferred reference equation when identifying a ppMV˙O2 criterion in guideline statements.
Jacc-Heart Failure | 2014
Dennis J. Kerrigan; Celeste T. Williams; Jonathan K. Ehrman; Matthew A. Saval; Kyle Bronsteen; John R. Schairer; Meghan Swaffer; Clinton A. Brawner; David E. Lanfear; Yelena Selektor; Mauricio Velez; Cristina Tita; Steven J. Keteyian
Medicine and Science in Sports and Exercise | 2018
Clinton A. Brawner; Jonathan K. Ehrman; Ali Shafiq; Matthew A. Saval; Stuart D. Russell; David E. Lanfear; Steven J. Keteyian
Journal of Cardiovascular Nursing | 2018
Bunny J. Pozehl; Rita McGuire; Kathleen Duncan; Melody Hertzog; Pallav Deka; Joseph F. Norman; Nancy T. Artinian; Matthew A. Saval; Steven J. Keteyian
Medicine and Science in Sports and Exercise | 2017
Clinton A. Brawner; Jonathan K. Ehrman; Jonathan Myers; Paul Chase; Shadi Farha; Matthew A. Saval; Rita McGuire; Steven J. Keteyian
Journal of Cardiac Failure | 2017
Rita McGuire; Kathleen Duncan; Kevin A. Kupzyk; Joseph F. Norman; Nancy T. Artinian; Matthew A. Saval; Steven J. Keteyian
Journal of Clinical Exercise Physiology | 2014
Dennis J. Kerrigan; Matthew A. Saval; Allison Poremba; Khaled Nour
Journal of Clinical Exercise Physiology | 2013
Matthew A. Saval; Dennis J. Kerrigan
Circulation | 2013
Paul I Mullen; Susan K Lee; Eugenia Peck; Janet Folsom; Marco DiBonaventura; Matthew A. Saval; Steven J. Keteyian