Useful Estimation of Fitness and Fatness for Association with Health Outcomes

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We validated a new algorithm to estimate cardiorespiratory fitness that is typically measured on a clinical treadmill test using commonly available variables in electronic health records in 42,676 adults. The algorithm from this study was then used in a new study to predict abnormal blood glucose. It was found that the algorithm can predict abnormal blood glucose on par with clinical treadmill testing. The algorithm has advantages, such as standardization across EHR systems, decreasing administration time, and allowing practitioners to counsel patients. Three healthcare systems in America are considering the algorithm for implementation.