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 re-cently 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.

Registry of Aortic Diseases to Model Adverse Events and Progression (ROADMAP) in Uncomplicated Type B Aortic Dissection: Study Design and Rationale / Mastrodicasa D.; Willemink M.J.; Turner V.L.; Hinostroza V.; Codari M.; Hanneman K.; Ouzounian M.; Trujillo D.O.; Afifi R.O.; Hedgire S.; Burris N.S.; Yang B.; Lacomis J.M.; Gleason T.G.; Pacini D.; Folesani G.; Lovato L.; Hinzpeter R.; Alkadhi H.; Stillman A.E.; Chen E.P.; van Kuijk S.M.J.; Schurink G.W.H.; Sailer A.M.; Baumler K.; Craig Miller D.; Fischbein M.P.; Fleischmann D.. - In: RADIOLOGY. CARDIOTHORACIC IMAGING. - ISSN 2638-6135. - ELETTRONICO. - 4:6(2022), pp. e220039.1-e220039.7. [10.1148/ryct.220039]

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

Pacini D.;Folesani G.;
2022

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 re-cently 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.
2022
Registry of Aortic Diseases to Model Adverse Events and Progression (ROADMAP) in Uncomplicated Type B Aortic Dissection: Study Design and Rationale / Mastrodicasa D.; Willemink M.J.; Turner V.L.; Hinostroza V.; Codari M.; Hanneman K.; Ouzounian M.; Trujillo D.O.; Afifi R.O.; Hedgire S.; Burris N.S.; Yang B.; Lacomis J.M.; Gleason T.G.; Pacini D.; Folesani G.; Lovato L.; Hinzpeter R.; Alkadhi H.; Stillman A.E.; Chen E.P.; van Kuijk S.M.J.; Schurink G.W.H.; Sailer A.M.; Baumler K.; Craig Miller D.; Fischbein M.P.; Fleischmann D.. - In: RADIOLOGY. CARDIOTHORACIC IMAGING. - ISSN 2638-6135. - ELETTRONICO. - 4:6(2022), pp. e220039.1-e220039.7. [10.1148/ryct.220039]
Mastrodicasa D.; Willemink M.J.; Turner V.L.; Hinostroza V.; Codari M.; Hanneman K.; Ouzounian M.; Trujillo D.O.; Afifi R.O.; Hedgire S.; Burris N.S.; Yang B.; Lacomis J.M.; Gleason T.G.; Pacini D.; Folesani G.; Lovato L.; Hinzpeter R.; Alkadhi H.; Stillman A.E.; Chen E.P.; van Kuijk S.M.J.; Schurink G.W.H.; Sailer A.M.; Baumler K.; Craig Miller D.; Fischbein M.P.; Fleischmann D.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/955870
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