A
Azriel Perel
Researcher at Sheba Medical Center
Publications - 133
Citations - 6836
Azriel Perel is an academic researcher from Sheba Medical Center. The author has contributed to research in topics: Blood pressure & Cardiac output. The author has an hindex of 38, co-authored 133 publications receiving 6332 citations. Previous affiliations of Azriel Perel include Charité & Tel Aviv University.
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Journal ArticleDOI
Clinical review: Complications and risk factors of peripheral arterial catheters used for haemodynamic monitoring in anaesthesia and intensive care medicine
TL;DR: It is concluded that arterial cannulation is a safe procedure and factors that contribute to higher complication rates were investigated.
Journal ArticleDOI
Stroke volume variation as a predictor of fluid responsiveness in patients undergoing brain surgery.
Haim Berkenstadt,Nevo Margalit,Moshe Hadani,Zeev Friedman,Eran Segal,Yael Villa,Azriel Perel +6 more
TL;DR: In this paper, stroke volume variation (SVV) is defined as the percentage change between maximal and minimal stroke volumes divided by the average of the minimum and maximum over a floating period.
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Clinical review: Update on hemodynamic monitoring--a consensus of 16.
Jean Louis Vincent,Andrew Rhodes,Azriel Perel,Greg S. Martin,Giorgio Della Rocca,Benoit Vallet,Michael R. Pinsky,Christoph Hofer,Jean-Louis Teboul,Willem-Pieter de Boode,Sabino Scolletta,Antoine Vieillard-Baron,Daniel De Backer,Keith R. Walley,Marco Maggiorini,Mervyn Singer +15 more
TL;DR: An objective review of the available monitoring systems, including their specific advantages and limitations, and highlighting some key principles underlying hemodynamic monitoring in critically ill patients are offered.
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Hemodynamic monitoring and management in patients undergoing high risk surgery: a survey among North American and European anesthesiologists
TL;DR: There is a considerable gap between the accumulating evidence about the benefits of perioperative hemodynamic optimization and the available technologies that may facilitate its clinical implementation, and clinical practices in both Europe and the United States.
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Predicting fluid responsiveness in patients undergoing cardiac surgery: functional haemodynamic parameters including the Respiratory Systolic Variation Test and static preload indicators.
TL;DR: Functional haemodynamic parameters are superior to static indicators of cardiac preload in predicting the response to fluid administration and the RSVT and PPV were the most accurate predictors of fluid responsiveness.