Data-driven prioritization of high-risk individuals for weight loss interventions
Authors' conclusion
In summary, OBSCORE provides a framework for prioritizing high-risk individuals with overweight or obesity based on their risk of obesity-related complications, complementing BMI-based frameworks.
Study context
- Population
- Individuals with body mass index (BMI) exceeding 27 kg m-2; validation in independent populations and SURMOUNT-1 trial participants
- Participants
- ≈200,000 individuals
- Outcome
- Future onset of 18 complications of obesity
- Follow-up
- 10 years
Methodological detailspopulation-based, machine learning, external validation in independent populations of European and non-European ancestry
- Population-based
- Machine learning
- External validation in independent populations of European and non-European ancestry
Performance
As reported in the abstract
Cardiovascular mortality incidence across OBSCORE risk groups
Incidence of cardiovascular mortality across OBSCORE risk groups
5.7%, 1.8%, 0.9%, 0.4% and 0.1%
Further findings
Generalizability
- Model generalized to independent populations of European and non-European ancestry
SURMOUNT-1 trial participants
- Weight loss similar across baseline OBSCORE risk groups
- Predicted risks decreased following tirzepatide treatment
Original publication
Data-driven prioritization of high-risk individuals for weight loss interventions. Nat Med. Published 30 April 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →