Daily walking performance as an independent predictor of advanced heart failure : prediction of exercise capacity in chronic heart failure
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 1196555
Author(s) Jehn, Melissa; Schmidt-Trucksäss, Arno; Schuster, Tibor; Weis, Michael; Hanssen, Henner; Halle, Martin; Koehler, Friedrich
Author(s) at UniBasel Schmidt-Trucksäss, Arno
Year 2009
Title Daily walking performance as an independent predictor of advanced heart failure : prediction of exercise capacity in chronic heart failure
Journal American heart journal : an international publication for the study of the circulation
Volume 157
Number 2
Pages / Article-Number 292-8
Abstract PURPOSE: The purpose of this study was to use an accelerometer to measure daily walking performance in patients with chronic heart failure (CHF) to investigate if this parameter is a determinant of New York Heart Association class and indicative of maximal and functional exercise capacity. METHODS: Fifty patients with CHF were instructed to wear an accelerometer for 7 consecutive days while going about their daily business. Maximal and functional exercise capacity was assessed by cardiopulmonary (VO(2peak)) and 6-minute walk testing, respectively. RESULTS: Patients in New York Heart Association I, II, and III reached an average total walking time (TWT) of 160.6 +/- 35.8 minutes, 133.9 +/- 59.0 minutes, and 76.1 +/- 22.5 minutes per day of which 19%, 19%, and 9% where spent in the fast walking mode (>83 m/minute), respectively. The TWT correlated strongly with VO(2peak) (r = 0.72; P <.001) and 6-minute walk testing distance (r = 0.68; P <.001). The TWT and time spent in fast walking mode were the strongest determinants in discriminating moderate CHF. CONCLUSION: Daily walking performance is a clear determinant of maximal and functional exercise capacities in patients with CHF. Walking intensity in particular is an independent predictor in discriminating patients with advanced heart failure. Monitoring of daily walking performance might aid in detecting disease progression and improve clinical outcome.
Publisher C.V. Mosby
ISSN/ISBN 0002-8703
edoc-URL http://edoc.unibas.ch/dok/A6006720
Full Text on edoc No
Digital Object Identifier DOI 10.1016/j.ahj.2008.10.006
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/19185636
ISI-Number WOS:000263486300011
Document type (ISI) Clinical Trial, Journal Article
 
   

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