Literature DB >> 33352207

Diagnostic and Prognostic Value of Several Color Doppler Jet Grading Methods in Patients With Mitral Regurgitation.

Victor Kamoen1, Simon Calle2, Milad El Haddad2, Tine De Backer2, Marc De Buyzere2, Frank Timmermans2.   

Abstract

Color Doppler is a widely used ultrasound imaging method for assessing mitral regurgitation (MR) in clinical practice. Nevertheless, color Doppler-based grading of the MR jet has been rarely considered in clinical studies. We investigated the diagnostic and prognostic value of several color Doppler MR jet grading methods and compared them with quantitative grading of MR. The MR color Doppler jet was assessed in 476 MR patients using an 'integrated' eyeballing approach by quantifying the color Doppler jet area, jet area/left atrium area and jet length and using quantitative methods. Clinical endpoints were scored as major adverse clinical events, including cardiovascular death, heart failure hospitalization and mitral valve intervention. When assessed by three echocardiographers, there was a moderate inter-observer agreement for eyeballing color Doppler grade of MR (intraclass correlation coefficient 0.69, p < 0.001). The intra-observer agreement was good for all color Doppler approaches. In primary MR, eyeballing color Doppler correlated well with (in)direct measures of MR severity, with a negative predictive value of 91% when using a grade 2 color Doppler as cut-off. In secondary MR, eyeballing color Doppler grade and jet length were predictors of clinical outcome in Cox proportional hazards analysis (p = 0.003), independent of pulmonary pressures, atrial and ventricular volumes. Overall, the integrated eyeballing approach performed better than color Doppler quantification of the MR jet area and length. In conclusion, this study shows that color Doppler grading of the distal MR jet performs well in predicting events in primary and secondary MR, compared to quantitative grading methods.
Copyright © 2020 Elsevier Inc. All rights reserved.

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Year:  2021        PMID: 33352207     DOI: 10.1016/j.amjcard.2020.12.027

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  2 in total

1.  Self-supervised learning assisted diagnosis for mitral regurgitation severity classification based on color Doppler echocardiography.

Authors:  Feifei Yang; Jiuwen Zhu; Junfeng Wang; Liwei Zhang; Wenjun Wang; Xu Chen; Xixiang Lin; Qiushuang Wang; Daniel Burkhoff; S Kevin Zhou; Kunlun He
Journal:  Ann Transl Med       Date:  2022-01

2.  Association of Mitral Annular Disjunction With Cardiovascular Outcomes Among Patients With Marfan Syndrome.

Authors:  Anthony Demolder; Frank Timmermans; Mattias Duytschaever; Laura Muiño-Mosquera; Julie De Backer
Journal:  JAMA Cardiol       Date:  2021-10-01       Impact factor: 30.154

  2 in total

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