Aortic & peripheral vascular disease
Predicting Late Adverse Events in Uncomplicated Stanford Type B Aortic Dissection: Results From the ROADMAP Validation Study
Authors' conclusion
A clinical and imaging-based prediction model performed poorly in the ROADMAP cohort. Maximum aortic diameter remains the strongest predictor of LAEs in uncomplicated Stanford type B aortic dissection.
Study context
- Population
- Patients with uncomplicated Stanford type B aortic dissection presenting to aortic centers between 2001 and 2013, followed until 2020final cohort, 401 assembled, 176 (44%) excluded for incomplete imaging or clinical data
- Participants
- 225 patientsEvents: 90 (40%)
- Predictors
- 1 clinical (connective tissue disease) and 4 imaging variables: maximum aortic diameter, false lumen circumferential angle, false lumen outflow, and number of identifiable intercostal arteries
- Predicted outcome
- late adverse events (LAEs)
Methodological detailsexternal validation of a published prediction model, 8 aortic centers
- External validation of a published prediction model
- 8 aortic centers
Model performance
As reported in the abstract
5-year
Sensitivity
38%
Specificity
69%
Further findings
| Outcome | Hazard ratio (per mm) (95% CI) | P value | |
|---|---|---|---|
| Association with LAEs, multivariable Cox regression | 1.07 (1.03–1.11) | P < 0.001 | |
| 0.512Hazard ratio (log scale) |
- Association with late adverse events (LAEs), multivariable Cox regression — other parameters not associated with LAEs
- P >0.05
Baseline maximum aortic diameter, patients with vs without LAEs
- With LAEs
- 42.6 [95% CI, 39.1-45.8] mm
- Without LAEs
- 39.9 [95% CI, 36.3-44.2] mm
- P
- P = 0.001
Original publication
Predicting Late Adverse Events in Uncomplicated Stanford Type B Aortic Dissection: Results From the ROADMAP Validation Study. Circ Cardiovasc Imaging. Published 18 February 2025. doi:10.
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