Validation and Refinement of Prediction Models to Estimate Exercise Capacity in Cancer Survivors Using the Steep Ramp Test.

Abstract

SETTING

Multicenter.

PARTICIPANTS

Cancer survivors (N=283) in 2 randomized controlled exercise trials.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Prediction model accuracy was assessed by intraclass correlation coefficients (ICCs) and limits of agreement (LOA). Multiple linear regression was used for model extension. Clinical performance was judged by the percentage of accurate endurance exercise prescriptions.

RESULTS

ICCs of SRT-predicted Vo_2peak and W_peak with these values as obtained by the cardiopulmonary exercise test were .61 and .73, respectively, using the previously published prediction models. 95% LOA were ±705mL/min with a bias of 190mL/min for Vo_2peak and ±59W with a bias of 5W for W_peak. Modest improvements were obtained by adding body weight and sex to the regression equation for the prediction of Vo_2peak (ICC, .73; 95% LOA, ±608mL/min) and by adding age, height, and sex for the prediction of W_peak (ICC, .81; 95% LOA, ±48W). Accuracy of endurance exercise prescription improved from 57% accurate prescriptions to 68% accurate prescriptions with the new prediction model for W_peak.

DESIGN

Cross-sectional study.

OBJECTIVE

To further test the validity and clinical usefulness of the steep ramp test (SRT) in estimating exercise tolerance in cancer survivors by external validation and extension of previously published prediction models for peak oxygen consumption (Vo_2peak) and peak power output (W_peak).

CONCLUSIONS

Predictions of Vo_2peak and W_peak based on the SRT are adequate at the group level, but insufficiently accurate in individual patients. The multivariable prediction model for W_peak can be used cautiously (eg, supplemented with a Borg score) to aid endurance exercise prescription.