To inform precision management of obesity, this study developed and externally validated a parsimonious model (OBSCORE) that accurately predicts the risk of 18 obesity-related complications.
To inform precision management of obesity, this study developed and externally validated a parsimonious model that accurately predicts the risk of 18 obesity-related complications.
This was achieved by integrating thousands of clinical, molecular and other health-related characteristics assessed in 200,000 individuals with overweight or obesity within a machine-learning framework. Fig. 1: OBSCORE captures heterogeneity in the risk of developing obesity-related complications in individuals with the same sex, age and BMI. GBD 2021 Adult BMI Collaborators Global, regional, and national prevalence of adult overweight and obesity, 1990-2021, with forecasts to 2050: a forecasting study for the Global Burden of Disease Study 2021.
Chami, N. et al. Genetic subtyping of obesity reveals biological insights into the uncoupling of adiposity from its cardiometabolic comorbidities. An article that describes the foundations of the methodology used in this work, originally developed to identify sparse proteomic predictors of >200 diseases. Katsoulis, M. et al.
Identifying adults at high risk for change in weight and BMI: a longitudinal, large-scale, population-based cohort study using electronic health records. An article that highlights the growing obesity burden in younger individuals, who are at highest risk for transitioning to overweight or obesity.
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