Subclassification of obesity for precision prediction of cardiometabolic diseases
An erratum to this article was published (Nat Med, Feb 2025 ↗)
Study context
- Population
- Four European population-based cohorts
- Participants
- ≈ 173,000 participants4 cohorts
- Exposure
- Discordant vs concordant cardiometabolic biomarker profiles given body mass index (BMI)
- Outcome
- MACE risk per 10% higher probability of a discordant lipid profile
Methodological detailsunsupervised clustering, four European cohorts
- Unsupervised clustering
- Four European cohorts
Main finding
As reported in the abstract
Hazard ratio (95% CI)P value
Women
1.05(1.03–1.06)
P = 4.19 × 10-10Men
1.05(1.04–1.06)
P = 9.33 × 10-14Per 10% higher probability of discordant lipid, as printed
Observational data: associations, not effects.
Further findings
Multivariate prediction of major adverse cardiovascular events (MACE) and T2D with discordant profile information
- Better model performance (likelihood ratio test)
- P < 0.001
- Additional correct interventions per 10,000 tested
- 4-15
- Additional unnecessary interventions correctly avoided per 10,000 tested
- 37-135
Original publication
Subclassification of obesity for precision prediction of cardiometabolic diseases. Nat Med. Published 24 October 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →