Literature DB >> 8701897

Relationship between severity of mitral regurgitation and prognosis of mitral valve prolapse: echocardiographic follow-up study.

S Kim1, T Kuroda, M Nishinaga, M Yamasawa, S Watanabe, T Mitsuhashi, S Ueda, K Shimada.   

Abstract

We investigated the relation between the severity of mitral regurgitation and the development of complications and cardiac events by using two-dimensional and color Doppler echocardiography in 229 consecutive patients with mitral valve prolapse. The frequency of moderate and severe mitral regurgitation was significantly higher in patients with a prolapsed posterior leaflet (61%) than in patients with a prolapsed anterior leaflet (25%), and the older the patient, the greater the severity of mitral regurgitation. The occurrence of complications, such as atrial fibrillation, congestive heart failure, and chordal rupture, was significantly greater in prolapsed posterior leaflet cases than in prolapsed anterior leaflet cases, and the occurrence was closely associated with the degree of severity of mitral regurgitation. Multiple logistic regression analysis showed that the severity of mitral regurgitation is a strong prognostic indicator for developing complications. Furthermore in a subgroup of 49 patients tracked for a mean of 4.8 years, the new development of complications was significantly higher in patients who showed a progression in the severity of mitral regurgitation (52%) that in patients without progression in severity (8%). The initial severity of mitral regurgitation was related to the occurrence of cardiac events (mitral valve replacement, infective endocarditis, cerebral embolism and death). The data indicated that the progression of mitral regurgitation is closely associated with the development of complications and cardiac events and suggest that the severity of mitral regurgitation is an important prognostic indicator for the development of complications and cardiac events in patients with mitral valve prolapse.

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Year:  1996        PMID: 8701897     DOI: 10.1016/s0002-8703(96)90432-9

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  8 in total

Review 1.  The long-term outcome of mitral valve repair for mitral valve prolapse.

Authors:  Dania Mohty; Maurice Enriquez-Sarano
Journal:  Curr Cardiol Rep       Date:  2002-03       Impact factor: 2.931

Review 2.  Infective endocarditis.

Authors:  Yok-Ai Que; Philippe Moreillon
Journal:  Nat Rev Cardiol       Date:  2011-04-12       Impact factor: 32.419

3.  [Current standard in diagnosis and therapy of heart valve lesions].

Authors:  S Reith; H Körtke; O Volk; H G Klues
Journal:  Z Kardiol       Date:  2001-12

4.  Effect of lesional differences in prolapsed leaflets on clinical outcomes in patients with mitral valve prolapse.

Authors:  Keiko Suzuki; Mitsushige Murata; Risako Yasuda; Hikaru Tsuruta; Naoki Tomotsugu; Takayuki Abe; Shiro Iwanaga; Makoto Akaishi; Keiichi Fukuda
Journal:  Am J Cardiovasc Dis       Date:  2012-07-25

Review 5.  Degenerative Mitral Regurgitation: Assessment, Physical Examination, and Imaging.

Authors:  Nina C Wunderlich; Roy Beigel; Florian Rader; Jennifer Franke; Robert J Siegel
Journal:  Curr Cardiol Rep       Date:  2019-07-22       Impact factor: 2.931

6.  ST-Segment Depression in Hyperventilation Indicates a False Positive Exercise Test in Patients with Mitral Valve Prolapse.

Authors:  Andreas P Michaelides; Charalampos I Liakos; Charalambos Antoniades; Dimitrios L Tsiachris; Dimitrios Soulis; Polichronis E Dilaveris; Konstantinos P Tsioufis; Christodoulos I Stefanadis
Journal:  Cardiol Res Pract       Date:  2010-11-14       Impact factor: 1.866

Review 7.  Mitral regurgitation - Unmet need for improved management strategies.

Authors:  Jean-Noel Trochu; Ryan Dillon; Finn Gustafsson; Stephen A Mitchell; Veselin Mitrovic; Ottavio Alfieri
Journal:  Int J Cardiol Heart Vasc       Date:  2014-11-07

8.  An Investigation of Left Ventricular Valve Disorders and the Mechano-Electric Feedback Using a Synergistic Lumped Parameter Cardiovascular Numerical Model.

Authors:  Nicholas Pearce; Eun-Jin Kim
Journal:  Bioengineering (Basel)       Date:  2022-09-08
  8 in total

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