Literature DB >> 19546391

Risk score for predicting outcome in patients with asymptomatic aortic stenosis.

Jean-Luc Monin1, Patrizio Lancellotti, Mehran Monchi, Pascal Lim, Emmanuel Weiss, Luc Piérard, Pascal Guéret.   

Abstract

BACKGROUND: The management of patients with asymptomatic severe aortic stenosis remains controversial. We sought to develop a continuous risk score for predicting the midterm development of symptoms or adverse events in this setting. METHODS AND
RESULTS: We prospectively followed 107 patients with asymptomatic aortic stenosis (aged 72 years [63 to 77]; 35 women; aortic-jet velocity, 4.1 m/s [3.5 to 4.4]) at a single center in France. Predefined end points for assessing outcome were the occurrence within 24 months of death or aortic valve replacement necessitated by symptoms or by a positive exercise test. Variables independently associated with outcome were used to build a score that was validated in an independent cohort of 107 patients from Belgium. Independent predictors of outcome were female sex, peak aortic-jet velocity, and B-type natriuretic peptide at baseline. Accordingly, the score could be calculated as follows: Score=[peak velocity (m/s) x 2]+(natural logarithm of B-type natriuretic peptide x 1.5)+1.5 (if female sex). Event-free survival after 20 months was 80% for patients within the first score quartile compared with only 7% for the fourth quartile. Areas under the receiver operating characteristic curve for the score were 0.90 and 0.89 in the development and validation cohorts, respectively.
CONCLUSIONS: If further validation is achieved, this score may be useful to predict outcome in individual patients with asymptomatic aortic stenosis to select those who might benefit from early surgery.

Entities:  

Mesh:

Year:  2009        PMID: 19546391     DOI: 10.1161/CIRCULATIONAHA.108.808857

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  35 in total

1.  Grading aortic stenosis severity when the flow modifies the gradientvalve area correlation.

Authors:  Patrizio Lancellotti
Journal:  Cardiovasc Diagn Ther       Date:  2012-03

Review 2.  Evaluation of aortic stenosis: an update--including low-flow States, myocardial mechanics, and stress testing.

Authors:  Luc A Pierard; Raluca Dulgheru
Journal:  Curr Cardiol Rep       Date:  2015-06       Impact factor: 2.931

3.  Multimarker Approach to Identify Patients With Higher Mortality and Rehospitalization Rate After Surgical Aortic Valve Replacement for Aortic Stenosis.

Authors:  Brian R Lindman; Marie-Annick Clavel; Rami Abu-Alhayja'a; Nancy Côté; François Dagenais; Eric Novak; Pierre Voisine; Anthony Poulin; Benoit J Arsenault; Philippe Desmeules; Abdellaziz Dahou; Lionel Taster; Khitam Aldahoun; Yohan Bossé; Patrick Mathieu; Philippe Pibarot
Journal:  JACC Cardiovasc Interv       Date:  2018-11-12       Impact factor: 11.195

Review 4.  Biomarkers of Calcific Aortic Valve Disease.

Authors:  Aeron Small; Daniel Kiss; Jay Giri; Saif Anwaruddin; Hasan Siddiqi; Marie Guerraty; Julio A Chirinos; Giovanni Ferrari; Daniel J Rader
Journal:  Arterioscler Thromb Vasc Biol       Date:  2017-02-02       Impact factor: 8.311

5.  Low-flow aortic stenosis and preserved left ventricular ejection fraction.

Authors:  Patrizio Lancellotti; Kou Seisyou
Journal:  J Echocardiogr       Date:  2013-12-17

Review 6.  Exercise hemodynamics in valvular heart disease.

Authors:  Anna M Booher; David S Bach
Journal:  Curr Cardiol Rep       Date:  2011-06       Impact factor: 2.931

7.  The integrated value of sST2 and global longitudinal strain in the early stratification of patients with severe aortic valve stenosis: a translational imaging approach.

Authors:  Iacopo Fabiani; Lorenzo Conte; Nicola Riccardo Pugliese; Enrico Calogero; Valentina Barletta; Rossella Di Stefano; Tatiana Santoni; Cristian Scatena; Uberto Bortolotti; Antonio Giuseppe Naccarato; Anna Sonia Petronio; Vitantonio Di Bello
Journal:  Int J Cardiovasc Imaging       Date:  2017-06-29       Impact factor: 2.357

8.  Evaluation of aortic stenosis severity using 4D flow jet shear layer detection for the measurement of valve effective orifice area.

Authors:  Julio Garcia; Michael Markl; Susanne Schnell; Bradley Allen; Pegah Entezari; Riti Mahadevia; S Chris Malaisrie; Philippe Pibarot; James Carr; Alex J Barker
Journal:  Magn Reson Imaging       Date:  2014-04-24       Impact factor: 2.546

9.  Outcomes of Patients With Asymptomatic Aortic Stenosis Followed Up in Heart Valve Clinics.

Authors:  Patrizio Lancellotti; Julien Magne; Raluca Dulgheru; Marie-Annick Clavel; Erwan Donal; Mani A Vannan; John Chambers; Raphael Rosenhek; Gilbert Habib; Guy Lloyd; Stefano Nistri; Madalina Garbi; Stella Marchetta; Khalil Fattouch; Augustin Coisne; David Montaigne; Thomas Modine; Laurent Davin; Olivier Gach; Marc Radermecker; Shizhen Liu; Linda Gillam; Andrea Rossi; Elena Galli; Federica Ilardi; Lionel Tastet; Romain Capoulade; Robert Zilberszac; E Mara Vollema; Victoria Delgado; Bernard Cosyns; Stephane Lafitte; Anne Bernard; Luc A Pierard; Jeroen J Bax; Philippe Pibarot; Cécile Oury
Journal:  JAMA Cardiol       Date:  2018-11-01       Impact factor: 14.676

10.  Usefulness of exercise-stress echocardiography for risk stratification of true asymptomatic patients with aortic valve stenosis.

Authors:  Sylvestre Maréchaux; Zeineb Hachicha; Annaïk Bellouin; Jean G Dumesnil; Patrick Meimoun; Agnès Pasquet; Sébastien Bergeron; Marie Arsenault; Thierry Le Tourneau; Pierre Vladimir Ennezat; Philippe Pibarot
Journal:  Eur Heart J       Date:  2010-03-21       Impact factor: 29.983

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