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Sophie Provenchère
Researcher at University of Paris
Publications - 69
Citations - 1318
Sophie Provenchère is an academic researcher from University of Paris. The author has contributed to research in topics: Cardiac surgery & Medicine. The author has an hindex of 15, co-authored 55 publications receiving 1128 citations. Previous affiliations of Sophie Provenchère include Paris Diderot University.
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Journal ArticleDOI
Cardiac Troponin I Is an Independent Predictor of In-hospital Death after Adult Cardiac Surgery
Sigismond Lasocki,Sophie Provenchère,Joelle Benessiano,Eric Vicaut,Jean-Baptiste Lecharny,Jean-Marie Desmonts,Monique Dehoux,Ivan Philip +7 more
TL;DR: It is demonstrated that cTnI concentration measured 20 h after the end of surgery is an independent predictor of in-hospital death after cardiac surgery and elevated concentrations of cTNI are associated with a cardiac cause of death and with major postoperative complications.
Journal ArticleDOI
Renal dysfunction after cardiac surgery with normothermic cardiopulmonary bypass: incidence, risk factors, and effect on clinical outcome.
Sophie Provenchère,Gaetan Plantefeve,Gilles Hufnagel,Eric Vicaut,Cyrille de Vaumas,Jean-Baptiste Lecharny,Jean-Pol Depoix,François Vrtovsnik,Jean-Marie Desmonts,Ivan Philip +9 more
TL;DR: In this article, the association between renal dysfunction and perioperative variables was studied by univariate and multivariate analysis, and the authors concluded that advanced age, active endocarditis, and recent radiocontrast agent administration were more consistently predictive of postoperative renal dysfunction than CPB factors.
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Vascular complications of transfemoral aortic valve implantation with the Edwards SAPIEN prosthesis: incidence and impact on outcome.
Gregory Ducrocq,Fady Francis,Jean Michel Serfaty,Dominique Himbert,Jean-Michel Maury,Nicoletta Pasi,Sami Marouene,Sophie Provenchère,Bernard Iung,Yves Castier,Guy Lesèche,Alec Vahanian +11 more
TL;DR: Vascular complications of transfemoral aortic valve implantation are frequent and seem to be influenced by experience and the importance of a multidisciplinary approach for patient selection and management of the procedure is highlighted.
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A Comparison of a Machine Learning Model with EuroSCORE II in Predicting Mortality after Elective Cardiac Surgery: A Decision Curve Analysis.
Jérôme Allyn,Nicolas Allou,Pascal Augustin,Ivan Philip,Olivier Martinet,Myriem Belghiti,Sophie Provenchère,Philippe Montravers,Cyril Ferdynus +8 more
TL;DR: According to ROC and DCA, machine learning model is more accurate in predicting mortality after elective cardiac surgery than EuroSCORE II and this results confirm the use of machine learning methods in the field of medical prediction.
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Anesthesia and perioperative management of patients who undergo transfemoral transcatheter aortic valve implantation: an observational study of general versus local/regional anesthesia in 125 consecutive patients.
Bénédicte Dehédin,Pierre-Grégoire Guinot,Hassan Ibrahim,Nicolas Allou,Sophie Provenchère,Marie-Pierre Dilly,Alec Vahanian,Dominique Himbert,Eric Brochet,Costin Radu,Patrick Nataf,Philippe Montravers,Dan Longrois,Jean-Pol Depoix +13 more
TL;DR: This observational study suggests that LRA was associated with less intraoperative hemodynamic instability and significant shortening of the procedure and hospital stay and changes in the anesthetic technique adapted to changes in TAVI interventional techniques and did not increase the rate of postoperative complications.