A different perspective on studying stroke predictors: joint models for longitudinal and time-to-event data in a type 2 diabetes mellitus cohort
Authors' conclusion
Age, AF, and SBP have been confirmed as significant predictive factors in both sexes, whereas renal function was significant only in women. Interestingly, an increase in DBP may serve as a protective factor in our cohort. These factors were particularly relevant in the last 3-7 years of follow-up.
Study context
- Population
- Patients with T2D and no history of stroke, transient ischemic attack (TIA) or MI, followed for 12 years
- Participants
- 3,442 patients
- Comparison
- Men vs Women
- Outcome
- First stroke or TIA
- Follow-up
- 12 years
Methodological detailsjoint models for longitudinal and time-to-event data, sex-specific models
- Joint models for longitudinal and time-to-event data
- Sex-specific models
Performance
As reported in the abstract
First stroke/TIA · follow-up period
Patients with first stroke/TIA
303
8.8%
AUC of both models
>0.70
Original publication
A different perspective on studying stroke predictors: joint models for longitudinal and time-to-event data in a type 2 diabetes mellitus cohort. Cardiovasc Diabetol. Published 16 April 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →