Predicting recurrent mitral regurgitation after mitral valve repair for severe ischemic mitral regurgitation. 2015

Irving L Kron, and Judy Hung, and Jessica R Overbey, and Denis Bouchard, and Annetine C Gelijns, and Alan J Moskowitz, and Pierre Voisine, and Patrick T O'Gara, and Michael Argenziano, and Robert E Michler, and Marc Gillinov, and John D Puskas, and James S Gammie, and Michael J Mack, and Peter K Smith, and Chittoor Sai-Sudhakar, and Timothy J Gardner, and Gorav Ailawadi, and Xin Zeng, and Karen O'Sullivan, and Michael K Parides, and Roger Swayze, and Vinod Thourani, and Eric A Rose, and Louis P Perrault, and Michael A Acker, and
Division of Thoracic and Cardiovascular Surgery, University of Virginia School of Medicine, Charlottesville, Va.

OBJECTIVE The Cardiothoracic Surgical Trials Network recently reported no difference in the primary end point of left ventricular end-systolic volume index at 1 year postsurgery in patients randomized to repair (n = 126) or replacement (n = 125) for severe ischemic mitral regurgitation. However, patients undergoing repair experienced significantly more recurrent mitral regurgitation than patients undergoing replacement (32.6% vs 2.3%). We examined whether baseline echocardiographic and clinical characteristics could identify those who will develop moderate/severe recurrent mitral regurgitation or die. METHODS Our analysis includes 116 patients who were randomized to and received mitral valve repair. Logistic regression was used to estimate a model-based probability of recurrence or death from baseline factors. Receiver operating characteristic curves were constructed from these estimated probabilities to determine classification cut-points maximizing accuracy of prediction based on sensitivity and specificity. RESULTS Of the 116 patients, 6 received a replacement before leaving the operating room; all other patients had mild or less mitral regurgitation on intraoperative echocardiogram after repair. During the 2-year follow-up period, 76 patients developed moderate/severe mitral regurgitation or died (53 mitral regurgitation recurrences, 13 mitral regurgitation recurrences and death, and 10 deaths). The mechanism for recurrent mitral regurgitation was largely mitral valve leaflet tethering. Our model (including age, body mass index, sex, race, effective regurgitant orifice area, basal aneurysm/dyskinesis, New York Heart Association class, history of coronary artery bypass grafting, percutaneous coronary intervention, or ventricular arrhythmias) yielded an area under the receiver operating characteristic curve of 0.82. CONCLUSIONS The model demonstrated good discrimination in identifying patients who will survive 2 years without recurrent mitral regurgitation after mitral valve repair. Although our results require validation, they offer a clinically relevant risk score for selection of surgical candidates for this procedure.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D008944 Mitral Valve Insufficiency Backflow of blood from the LEFT VENTRICLE into the LEFT ATRIUM due to imperfect closure of the MITRAL VALVE. This can lead to mitral valve regurgitation. Mitral Incompetence,Mitral Regurgitation,Mitral Valve Incompetence,Mitral Insufficiency,Mitral Valve Regurgitation,Incompetence, Mitral,Incompetence, Mitral Valve,Insufficiency, Mitral,Insufficiency, Mitral Valve,Regurgitation, Mitral,Regurgitation, Mitral Valve,Valve Incompetence, Mitral,Valve Insufficiency, Mitral,Valve Regurgitation, Mitral
D011237 Predictive Value of Tests In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test. Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D012008 Recurrence The return of a sign, symptom, or disease after a remission. Recrudescence,Relapse,Recrudescences,Recurrences,Relapses
D002170 Canada The largest country in North America, comprising 10 provinces and three territories. Its capital is Ottawa.
D003661 Decision Support Techniques Mathematical or statistical procedures used as aids in making a decision. They are frequently used in medical decision-making. Decision Analysis,Decision Modeling,Models, Decision Support,Analysis, Decision,Decision Aids,Decision Support Technics,Aid, Decision,Aids, Decision,Analyses, Decision,Decision Aid,Decision Analyses,Decision Support Model,Decision Support Models,Decision Support Technic,Decision Support Technique,Model, Decision Support,Modeling, Decision,Technic, Decision Support,Technics, Decision Support,Technique, Decision Support,Techniques, Decision Support
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly

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