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Myocardial bridging: contemporary understanding of pathophysiology with implications for diagnostic and therapeutic strategies Timing of Intervention in Aortic Stenosis Comparison of paclitaxel-eluting stents (Taxus) and everolimus-eluting stents (Xience) in left main coronary artery disease with 3 years follow-up (from the ESTROFA-LM registry) Coronary plaque redistribution after stent implantation is determined by lipid composition: A NIRS-IVUS analysis Short- versus long-term duration of dual-antiplatelet therapy after coronary stenting: a randomized multicenter trial Association of Abnormal Left Ventricular Functional Reserve With Outcome in Heart Failure With Preserved Ejection Fraction Modifiable lifestyle factors and heart failure: A Mendelian randomization study Combined Tricuspid and Mitral Versus Isolated Mitral Valve Repair for Severe MR and TR: An Analysis From the TriValve and TRAMI Registries Baseline Features of the VICTORIA (Vericiguat Global Study in Subjects With Heart Failure With Reduced Ejection Fraction) Trial Clinical applications of machine learning in the diagnosis, classification, and prediction of heart failure

Original Research2012 Jul-Aug;13(4):228-33.

JOURNAL:Cardiovasc Revasc Med. Article Link

Classification and treatment of coronary artery bifurcation lesions: putting the Medina classification to the test

Zlotnick DM, Ramanath VS, Brown JR et al. Keywords: Medina classification, bifurcation lesion; treatment strategy

ABSTRACT


BACKGROUND - Coronary bifurcation lesions are common, difficult to treat, and associated with poorer outcomes compared to non-bifurcation lesions. The Medina classification has been widely adopted as the preferred system to classify bifurcation lesions, however there have been little efforts to characterize this metric. The objective of this study was to characterize the inter-observer variability of the Medina classification and examine its contribution to treatment selection strategy.

 

METHODS AND MATERIALS - We invited 150 interventional cardiologists from the United States and Europe to complete an online survey evaluating 12 freeze frame coronary angiograms of bifurcation lesions. Each respondent was asked to characterize the bifurcation lesions using the Medina classification and other metrics including side branch vessel size and angle. Respondents were asked to designate either a provisional (1 stent) or dedicated (2 stent) treatment strategy. 'Complex' lesions were defined as Medina scores 1.1.1, 0.1.1, or 1.0.1.

 

RESULTS - A total of 49 interventional cardiologists responded. In 7 of the 12 angiograms evaluated, there was >75% agreement regarding lesion classification using the Medina system. There was moderate inter-observer agreement when using Medina to classify lesions as 'Complex' vs. 'non-Complex'. 'Complex' bifurcation designation and side branch size were predictive of selection of a dedicated treatment strategy, whereas side branch angle was not.

 

CONCLUSIONS - The Medina classification is a useful tool in characterizing coronary bifurcation lesions. For the majority of the angiograms evaluated there was good inter-observer agreement in lesion classification using the Medina system. 'Complex' bifurcation designation and side branch size were predictive of selection of a dedicated treatment strategy.

 

Copyright © 2012 Elsevier Inc. All rights reserved.