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      Cardiac Magnetic Resonance Imaging Versus Transthoracic Echocardiography for Prediction of Outcomes in Chronic Aortic or Mitral Regurgitation.

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          Abstract

          In subjects with aortic regurgitation (AR) or mitral regurgitation (MR), transthoracic echocardiography (TTE) is recommended for surveillance. Few prospective studies have directly compared the ability of TTE and cardiac magnetic resonance (CMR) to predict clinical outcomes in AR and MR. We hypothesized that, given its higher reproducibility, CMR would predict the need for valve surgery or heart failure (HF) hospitalization better than TTE. Quantitative TTE and CMR were performed on the same day for 51 subjects: 29 with chronic AR and 22 with chronic, primary MR for quantification of valve regurgitation. Baseline measurements of valve regurgitation were compared to the combined primary end point of new HF and valve surgery using receiver operating characteristics, simple logistic regression, and Kaplan-Meier survival analyses. The primary end point occurred in 5 AR subjects (all surgery) and 8 MR subjects (7 surgery, 1 HF) after a mean follow-up of 4.4 ± 1.5 years. For AR, CMR-derived regurgitant volume >50 ml identified those at high risk with 50% undergoing valve surgery versus 0% for those with regurgitant volume ≤50 ml and was more strongly associated with outcomes than regurgitant volume by TTE (p <0.05). For MR, 6.8% of those with regurgitant volume by TTE ≤30 ml developed the primary end point versus 70% in those with regurgitant volume >30 ml. Regurgitant volume by CMR showed no significant separation of survival curves for MR. In conclusion, regurgitant volume by CMR was more predictive of outcomes than by TTE in subjects with AR. In MR, the 2 methods performed similarly.

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          Author and article information

          Journal
          Am. J. Cardiol.
          The American journal of cardiology
          Elsevier BV
          1879-1913
          0002-9149
          Apr 01 2017
          : 119
          : 7
          Affiliations
          [1 ] Division of General Internal Medicine, Department of Medicine, University of Washington School of Medicine, Seattle, Washington.
          [2 ] Division of Cardiology, Department of Medicine, University of Washington School of Medicine, Seattle, Washington. Electronic address: ekrieger@cardiology.washington.edu.
          [3 ] Department of Biostatistics, University of Washington, Seattle, Washington.
          [4 ] Department of Cardiology, Geisenger Health System, Danville, Pennsylvania.
          [5 ] Division of Cardiology, Department of Medicine, University of Washington School of Medicine, Seattle, Washington.
          [6 ] Department of Cardiology, School of Medicine and Centre for Advanced Imaging, University of Queensland, St. Lucia, Queensland, Australia; Department of Radiology, University of Washington, Seattle, Washington.
          [7 ] Department of Radiology, University of Washington, Seattle, Washington.
          Article
          S0002-9149(16)32018-5
          10.1016/j.amjcard.2016.12.017
          28153348
          ec9bfe7f-456e-40df-a647-096cf788b5dc

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