SAGE Journals Online
Advertisement
Sign In to gain access to subscriptions and/or personal tools.

 

Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Advertisement

Sign In to gain access to subscriptions and/or personal tools.
Angiology
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Womack, C. J.
Right arrow Articles by Gardner, A. W.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Womack, C. J.
Right arrow Articles by Gardner, A. W.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Prediction of Peak Oxygen Consumption in Patients with Intermittent Claudication

Christopher J. Womack, PhD

Brian A. Hyman, BS

Andrew W. Gardner, PhD, FACA

Baltimore VA Medical Center, GRECC (18) 10 N. Greene St. Baltimore, MD 21201-1524

Determination of peak oxygen consumption (VO2peak) is considered important for assessing a patient's functional capacity and for exercise prescription. However, the equipment necessary to obtain accurate determination of Vo2peak is not always available in clinical settings. The present study sought to develop an equation to estimate VO2peak in peripheral arterial occlusive disease (PAOD) patients with intermittent claudication and to determine independent predictors of VO2peak in this population. One hundred and fifty-seven patients with intermittent claudication were assigned to either a validation group (n = 105) or a cross-validation group (n = 52). Medical history, height, weight, body mass index (BMI), age, gender, smoking status, resting and postexercise ankle/brachial systolic pressure index (ABI), and time to maximal claudication pain and maximal heart rate from an incremental graded exercise test (GXT) were used as potential independent predictors of VO2peak. Time to onset of maximal claudication pain, maximal heart rate, and BMI were all independently associated with VO2peak. These variables were used to estimate VO2peak by the following equation:

VO2peak (mL/kg/min) = (0.00872 x maximal claudication pain time [sec] )

+ (0.02839 x maximal heart rate [b/min] ) - (0.12034 x BMI) + 10.11411

r = 0.71, r2 = 0.50, standard error of estimate = 2.02 mL/kg/min, p < 0.0001

There was no significant difference between the estimated and actual VO2peak in the cross-validation group, and the coefficient of variation between estimated and actual VO 2peak in this group was 18.3%. There was no significant difference between the corre lation coefficient for the relationship between estimated and actual VO2peak in the cross- validation group (r = 0.61) and the multiple correlation coefficient from the validation group (r = 0.71). Results of this study suggest that a multiple regression equation can be used to estimate VO2peak in patients with intermittent claudication by measuring time to maximal claudication pain and maximal heart rate from a GXT and by measuring BMI.

Angiology, Vol. 49, No. 8, 591-598 (1998)
DOI: 10.1177/000331979804900801


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?




Advertisement