Registry of Aortic Diseases to Model Adverse Events and Progression (ROADMAP) in Uncomplicated Type B Aortic Dissection: Study Design and Rationale

Domenico Mastrodicasa, Martin J Willemink, Valery L Turner, Virginia Hinostroza, Marina Codari, Kate Hanneman, Maral Ouzounian, Daniel Ocazionez Trujillo, Rana O Afifi, Sandeep Hedgire, Nicholas S Burris, Bo Yang, Joan M Lacomis, Thomas G Gleason, Davide Pacini, Gianluca Folesani, Luigi Lovato, Ricarda Hinzpeter, Hatem Alkadhi, Arthur E StillmanEdward P Chen, Sander M J van Kuijk, Geert W H Schurink, Anna M Sailer, Kathrin Bäumler, D Craig Miller, Michael P Fischbein, Dominik Fleischmann*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

PURPOSE: To describe the design and methodological approach of a multicenter, retrospective study to externally validate a clinical and imaging-based model for predicting the risk of late adverse events in patients with initially uncomplicated type B aortic dissection (uTBAD).

MATERIALS AND METHODS: The Registry of Aortic Diseases to Model Adverse Events and Progression (ROADMAP) is a collaboration between 10 academic aortic centers in North America and Europe. Two centers have previously developed and internally validated a recently developed risk prediction model. Clinical and imaging data from eight ROADMAP centers will be used for external validation. Patients with uTBAD who survived the initial hospitalization between January 1, 2001, and December 31, 2013, with follow-up until 2020, will be retrospectively identified. Clinical and imaging data from the index hospitalization and all follow-up encounters will be collected at each center and transferred to the coordinating center for analysis. Baseline and follow-up CT scans will be evaluated by cardiovascular imaging experts using a standardized technique.

RESULTS: The primary end point is the occurrence of late adverse events, defined as aneurysm formation (≥6 cm), rapid expansion of the aorta (≥1 cm/y), fatal or nonfatal aortic rupture, new refractory pain, uncontrollable hypertension, and organ or limb malperfusion. The previously derived multivariable model will be externally validated by using Cox proportional hazards regression modeling.

CONCLUSION: This study will show whether a recent clinical and imaging-based risk prediction model for patients with uTBAD can be generalized to a larger population, which is an important step toward individualized risk stratification and therapy.Keywords: CT Angiography, Vascular, Aorta, Dissection, Outcomes Analysis, Aortic Dissection, MRI, TEVAR© RSNA, 2022See also the commentary by Rajiah in this issue.

Original languageEnglish
Article numbere220039
Number of pages7
JournalRadiology. Cardiothoracic imaging
Volume4
Issue number6
DOIs
Publication statusPublished - Dec 2022

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