Predicting Heart Rate at the Ventilatory Threshold for Aerobic Exercise Prescription in Persons With Chronic Stroke. Issue 4 (October 2015)

• Record Type: Journal Article
• Authors: Boyne, Pierce; Buhr, Sarah; Rockwell, Bradley; Khoury, Jane; Carl, Daniel; Gerson, Myron; Kissela, Brett; Dunning, Kari
• Is Part Of: Journal of neurologic physical therapy. Volume 39:Issue 4(2015:Oct.)
• Publication Date: 2015-10
• Subjects: Nervous system -- Diseases -- Physical therapy -- Periodicals; Nervous system -- Diseases -- Treatment -- Periodicals; 616.80462
• DOI: 10.1097/NPT.0000000000000102
• Languages: English
• ISSNs: 1557-0576

Abstract

<abstract> <title> <x xml:space="preserve">Abstract</x> </title> <sec> <title>Background and Purpose:</title> <p>Treadmill aerobic exercise improves gait, aerobic capacity, and cardiovascular health after stroke, but a lack of specificity in current guidelines could lead to underdosing or overdosing of aerobic intensity. The ventilatory threshold (VT) has been recommended as an optimal, specific starting point for continuous aerobic exercise. However, VT measurement is not available in clinical stroke settings. Therefore, the purpose of this study was to identify an accurate method to predict heart rate at the VT (HR<sub>VT</sub>) for use as a surrogate for VT.</p> </sec> <sec> <title>Methods:</title> <p>A cross-sectional design was employed. Using symptom-limited graded exercise test (GXT) data from 17 subjects more than 6 months poststroke, prediction methods for HR<sub>VT</sub> were derived by traditional target HR calculations (percentage of HR<sub>peak</sub> achieved during GXT, percentage of peak HR reserve [HRR<sub>peak</sub>], percentage of age-predicted maximal HR, and percentage of age-predicted maximal HR reserve) and by regression analysis. The validity of the prediction methods was then tested among 8 additional subjects.</p> </sec> <sec> <title>Results:</title> <p>All prediction methods were validated by the second sample, so data were pooled to calculate refined prediction equations. HR<sub>VT</sub> was accurately predicted by 80% HR<sub>peak</sub> (<italic>R</italic><sup>2</sup>, 0.62; standard deviation of error [SD<sub>error</sub>], 7 bpm), 62% HRR<sub>peak</sub> (<italic>R</italic><sup>2</sup>, 0.66; SD<sub>error</sub>, 7 bpm), and regression models that included HR<sub>peak</sub> (<italic>R</italic><sup>2</sup>, 0.62-0.75; SD<sub>error</sub>, 5-6 bpm).</p> </sec> <sec> <title>Discussion and Conclusions:</title> <p>Derived regression equations, 80% HR<sub>peak</sub> and 62% HRR<sub>peak</sub>, provide a specific target intensity for initial aerobic exercise prescription that should minimize underdosing and overdosing for persons with chronic stroke. The specificity of these methods may lead to more efficient and effective treatment for poststroke deconditioning.</p> <p> <bold>Video Abstract available</bold> for more insights from the authors (see Supplemental Digital Content 1, <ext-link ext-link-type="uri" xlink:href="http://links.lww.com/JNPT/A114" xlink:type="simple" xmlns:xlink="http://www.w3.org/1999/xlink">http://links.lww.com/JNPT/A114</ext-link>).</p> </sec> </abstract>