European Heart Journal Advance Access originally published online on December 7, 2005
European Heart Journal 2006 27(6):684-690; doi:10.1093/eurheartj/ehi672
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Enhanced prognostic value from cardiopulmonary exercise testing in chronic heart failure by non-linear analysis: oxygen uptake efficiency slope
1National Heart and Lung Institute, Imperial College of Science, Technology and Medicine, London, UK
2Sezione di Cardiologia, Universitià di Verona, Italy
3Faculty of Medicine, University of Sydney, Australia
Received 8 August 2005; revised 21 October 2005; accepted 10 November 2005; online publish-ahead-of-print 7 December 2005.
* Corresponding author: Department of Cardiology, St Bartholomew's Hospital, London, UK. Tel: +44 775 223 2489; fax: +44 2076017642. E-mail address: lewisceridavies{at}gmail.com
See page 633 for the editorial comment on this article (doi:10.1093/eurheartj/ehi713)
Aims Predicting survival from peak exercise oxygen uptake (peak VO2) in chronic heart failure (CHF) is hindered by its reduction if exercise duration is submaximal. The oxygen uptake efficiency slope (OUES) is a non-linear description of the ventilatory response to exercise, which has the potential to describe abnormalities even early in exercise. We evaluated the physiology of OUES and assessed its potential for prognostic information in patients with CHF.
Methods and results Two hundred and forty-three patients with CHF (mean age 59±12 years) underwent cardiopulmonary exercise testing between May 1992 and July 1996. Mean peak VO2 was 16.2±6.7 mL/kg/min, VE/VCO2 slope 38±12.5, ventilatory anaerobic threshold 10.9±3.5 mL/kg/min, and OUES 1.6±0.7 L/min. The value for each variable fell across the New York Heart Association classes (P<0.0001 by analysis of variance for each). When only the first 50% of each exercise test was used to calculate the variables, the value obtained for OUES changed the least (peak VO2 25% difference and OUES 1% difference). After a median of 9 years of follow-up, 139 patients (57%) had died. Each of the exercise variables was a significant univariate predictor of prognosis but in a multivariable model, only OUES was identified as the sole significant independent prognostic variable.
Conclusion OUES provides an effective, independent measure of pathological exercise physiology. Its numerical value is relatively insensitive to the duration of exercise data from which it is calculated. Its prognostic value seems to be stronger than the best available existing measures of exercise physiology.
Key Words: Exercise Heart failure Prognosis
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