Background-Cardiopulmonary exercise test (CPX) responses are strong predictors of outcomes in patients with heart failure. We recently developed a CPX score that integrated the additive prognostic information from CPX. The purpose of this study was to validate the score in a larger, independent sample of patients. Methods and Results-A total of 2625 patients with heart failure underwent CPX and were followed for cardiovascular (CV) mortality and major CV events (death, transplantation, left ventricular assist device implantation). Net reclassification improvement (NRI) for the score and each of its components were determined at 3 years. The VE/VCO 2 slope was the strongest predictor of risk and was attributed a relative weight of 7, with weighted scores for abnormal heart rate recovery, oxygen uptake efficiency slope, end-tidal CO 2 pressure, and peak VO 2 having scores of 5, 3, 3, and 2, respectively. A summed score of >15 was associated with an annual mortality rate of 12.2% and a relative risk >9 for total events, whereas a score of <5 was associated with an annual mortality rate of 1.2%. The composite score was the most accurate predictor of CV events among all CPX responses considered (C indexes, 0.70 for CV mortality and 0.72 for the composite outcome). Each component of the score provided significant NRI compared with peak VO 2 (category-free NRI, 0.61-0.77), and the score provided significant NRI above clinical risk factors for both CV events and mortality (NRI, 0.63 and 0.65 for CPX score compared with clinical variables alone). demonstrated to predict risk more accurately. 6,[10][11][12] These approaches have long been recommended for the standard exercise test to assist with the diagnosis of coronary artery disease 8,9,13,14 and have recently been applied to CPX for estimating prognosis in patients with HF. 6,11 We recently developed a CPX score using a summation of readily available responses that improved the prognostic utility of the test. 6 CPX responses recently shown to be strong and independent predictors of outcomes in patients with HF provided incremental, progressive, and independent information to the prediction of adverse outcomes. However, the sample used was relatively small, and a validation cohort for the score was not available. In addition, the association between a given risk marker and outcomes, despite generating a significant hazard, does not necessarily result in a higher reclassification of risk. 15,16 Recently, statistical tests such as the net reclassification improvement (NRI) have been recommended to better quantify the ability of a measure to discriminate risk. The NRI improves on more standard indices of predictive modeling, such as the area under the receiver operating characteristic curve in that it more directly and incrementally evaluates the ability of new risk markers to classify subjects into higher or lower categories of risk. [15][16][17] In the current study, we sought to: (1) validate a CPX score developed previously 6 in a larger, independent sample of patie...