Background
Medical treatment of initially uncomplicated acute Stanford type-B aortic dissection is associated with a high rate of late adverse events. Identification of individuals who potentially benefit from preventive endografting is highly desirable.
Methods and Results
The association of CT imaging features with late adverse events was retrospectively assessed in 83 patients with acute uncomplicated Stanford type-B aortic dissection, followed over a median of 850 (IQR 247–1824) days. Adverse events were defined as fatal or non-fatal aortic rupture, rapid aortic growth (>10 mm/year), aneurysm formation (≥6 cm), organ or limb ischemia, or new uncontrollable hypertension or pain. Five significant predictors were identified using multivariable Cox regression analysis: connective tissue disease (HR 2.94, 95%CI: 1.29–6.72, p=0.01), circumferential extent of false lumen in angular degrees (HR 1.03 per degree, 95%CI: 1.01–1.04, p=0.003), maximum aortic diameter (HR 1.10 per mm, 95%CI: 1.02–1.18, p=0.015), false lumen outflow (HR 0.999 per mL, 95%CI: 0.998–1.000, p=0.055), and number of intercostal arteries (HR 0.89 per n, 95%CI: 0.80–0.98, p=0.024). A prediction model constructed to calculate patient specific risk at 1, 2 and 5 years and to stratify patients into high, intermediate, and low risk groups. The model was internally validated by bootstrapping and showed good discriminatory ability with an optimism-corrected c-statistic of 70.1%.
Conclusions
CT imaging-based morphologic features combined into a prediction model may be able to identify patients at high risk for late adverse events after an initially uncomplicated type B aortic dissection.