Why the study?
Does the percent-predicted peak Vo(2) value derived from the Wasserman/Hansen equations better predict adverse events compared to other models in patients with heart failure?
Does the percent-predicted peak Vo(2) value derived from the Wasserman/Hansen equations better predict adverse events compared to other models in patients with heart failure?
The Wasserman/Hansen equations for percent-predicted peak VO2 may be the preferred model for predicting adverse events in heart failure patients undergoing cardiopulmonary exercise testing.
Wasserman/Hansen percent-predicted peak VO2 may aid HF risk stratification; leaves open prospective validation before routine adoption.
Actual peak Vo(2) and the percent-predicted models included in this analysis all were significant predictors of adverse events. It seems that the percent-predicted peak Vo(2) value derived from the Wasserman/Hansen equations may outperform other expressions of this cardiopulmonary exercise testing variable.
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Arena et al. (2009) studied this question.
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