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New Formula to Predict Heart Rate at Anaerobic Threshold That Considers the Effects of β-Blockers in Patients With Myocardial Infarction: MULTI-INSTITUTIONAL RETROSPECTIVE CROSS-SECTIONAL STUDY. | LitMetric

New Formula to Predict Heart Rate at Anaerobic Threshold That Considers the Effects of β-Blockers in Patients With Myocardial Infarction: MULTI-INSTITUTIONAL RETROSPECTIVE CROSS-SECTIONAL STUDY.

J Cardiopulm Rehabil Prev

Department of Rehabilitation Medicine, St Marianna University School of Medicine Yokohama City Seibu Hospital, Yokohama, Japan (Drs Nemoto and Kasahara); Department of Rehabilitation Sciences, Kitasato University Graduate School of Medical Sciences, Sagamihara, Japan (Drs Nemoto, Kamiya, and Matsunaga); Department of Public Health, Kobe University Graduate School of Health Sciences, Kobe, Japan (Dr Izawa); Department of Rehabilitation Medicine, St Marianna University School of Medicine Hospital, Kawasaki, Japan (Messrs Watanabe and Takeichi); Department of Rehabilitation Medicine, Kawasaki Municipal Tama Hospital, Kawasaki, Japan (Mr Yoshizawa); Division of Cardiology, Department of Internal Medicine, St Marianna University School of Medicine Hospital, Kawasaki, Japan (Drs Suzuki and Akashi); Department of Internal Medicine, Shimazu Medical Clinic, Yokohama, Japan (Dr Omiya); and Department of Pharmacology, St Marianna University School of Medicine, Kawasaki, Japan (Dr Kida).

Published: January 2022

Purpose: It is recommended that patients with myocardial infarction (MI) be prescribed exercise by target heart rate (HR) at the anaerobic threshold (AT) via cardiopulmonary exercise testing (CPX). Although percent HR reserve using predicted HRmax (%HRRpred) is used to prescribe exercise if CPX or an exercise test cannot be performed, %HRRpred is especially difficult to use when patients take β-blockers. We devised a new formula to predict HR at AT (HRAT) that considers β-blocker effects in MI patients and validated its accuracy.

Methods: The new formula was created using the data of 196 MI patients in our hospital (derivation sample), and its accuracy was assessed using the data of 71 MI patients in other hospitals (validation sample). All patients underwent CPX 1 mo after MI onset, and resting HR, resting systolic blood pressure (SBP), and HRAT were measured during CPX.

Results: The results of multiple regression analysis in the derivation sample gave the following formula (R2 = 0.605, P < .001): predicted HRAT = 2.035 × (≥65 yr:-1, <65 yr:1) + 3.648 × (body mass index <18.5 kg/m2:-1, body mass index ≥18.5 kg/m2:1) + 4.284 × (β1-blocker(+):-1, β1-blocker(-):1) + 0.734 × (HRrest) + 0.078 × (SBPrest) + 36.812. This formula consists entirely of predictors that can be obtained at rest. HRAT and predicted HRAT with the new formula were not significantly different in the validation sample (mean absolute error: 5.5 ± 4.1 bpm).

Conclusions: The accuracy of the new formula appeared to be favorable. This new formula may be a practical method for exercise prescription in MI patients, regardless of their β-blocker treatment status, if CPX is unavailable.

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Source
http://dx.doi.org/10.1097/HCR.0000000000000602DOI Listing

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