430 Errors in estimating peak oxygen consumption (VO2peak) using ACSM formulae in clinical populations have been well reported. Several researchers have attempted to correct these errors by developing formulae that are more accurate and, in some cases, population specific. However, research has shown that these equations do not accurately predict VO2 in cardiac patients undergoing RAMP treadmill testing. As the use of RAMP treadmill protocols increases, estimating VO2 when using this protocol becomes important for clinicians. The intent of this investigation was to develop a prediction equation for cardiac patients undergoing RAMP treadmill testing. One hundred and five subjects with heart disease were tested to symptomlimited peak exertion following an individualized RAMP protocol where a speed, target test time, and target MET level were chosen prior to each test. Oxygen consumption was measured with a Medical Graphics CPX system. The following equation (RAMP) was developed using speed and grade as the predictor variables during treadmill walking: VO2(ml·kg-1·min-1) =[3.6393 × speed(mph)] + [0.7753 × grade(%)] + 2.2025(ml·kg-1·min-1), (R2=0.83, SEE=5.31). The accuracy of the RAMP equation, as well as several other prediction equations (ACSM, FAST, and FOSTER), in predicting VO2peak during RAMP treadmill testing was compared to measured VO2peak (MEAS) in an independent sample of cardiac patients (n=129) from our lab. Data were analyzed using a repeated measures ANOVA. VO2, in ml·kg-1·min-1, are presented as mean±SEM(*p<0.05 as compared to MEAS). TableTableResults show that all prediction equations differ significantly from measured VO2peak. These differences, coupled with a large standard error of the estimate for the RAMP equation, suggest that there is significant error in estimating VO2peak in cardiac patients undergoing RAMP treadmill testing, thus necessitating direct measurement of VO2.