Further Testing of Obesity Risk Prediction Models
PI(s): Bonny Rockette-Wagner, University of Pittsburgh; Kathleen McTigue, University of Pittsburgh
Purpose: This study investigates the feasibility of a predictive model to determine patients’ risks of developing any of the following common comorbidities of obesity: type 2 diabetes, atherosclerotic cardiovascular disease, heart failure, sleep apnea, and cancer. Our study team is testing a predictive model developed at another institution by using UPMC electronic health record data and then expanding the model by incorporating several key social determinants of health. Which version of the model will perform better using our real-world data? Our study team is collaborating with the predictive model’s original developers and an industry sponsor to help answer questions facing patients and their clinicians in everyday health care.
Study Design: PaTH Data-only Observational Study
PCORnet Partners:
PaTH Partners:
Sponsor: Industry partner
Coordinating Center: University of Pittsburgh