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Dive into the research topics where Maxime Cannesson is active.

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Featured researches published by Maxime Cannesson.


Critical Care | 2011

Hemodynamic monitoring and management in patients undergoing high risk surgery: a survey among North American and European anesthesiologists

Maxime Cannesson; G. Pestel; Cameron Ricks; Andreas Hoeft; Azriel Perel

IntroductionSeveral studies have demonstrated that perioperative hemodynamic optimization has the ability to improve postoperative outcome in high-risk surgical patients. All of these studies aimed at optimizing cardiac output and/or oxygen delivery in the perioperative period. We conducted a survey with the American Society of Anesthesiologists (ASA) and the European Society of Anaesthesiology (ESA) to assess current hemodynamic management practices in patients undergoing high-risk surgery in Europe and in the United States.MethodsA survey including 33 specific questions was emailed to 2,500 randomly selected active members of the ASA and to active ESA members.ResultsOverall, 368 questionnaires were completed, 57.1% from ASA and 42.9% from ESA members. Cardiac output is monitored by only 34% of ASA and ESA respondents (P = 0.49) while central venous pressure is monitored by 73% of ASA respondents and 84% of ESA respondents (P < 0.01). Specifically, the pulmonary artery catheter is being used much more frequently in the US than in Europe in the setup of high-risk surgery (85.1% vs. 55.3% respectively, P < 0.001). Clinical experience, blood pressure, central venous pressure, and urine output are the most widely indicators of volume expansion. Finally, 86.5% of ASA respondents and 98.1% of ESA respondents believe that their current hemodynamic management could be improved.ConclusionsIn conclusion, these results point to 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.


Perioperative medicine (London, England) | 2015

Perioperative fluid therapy: a statement from the international Fluid Optimization Group

Lais Helena Camacho Navarro; Joshua A Bloomstone; José Otávio Costa Auler; Maxime Cannesson; Giorgio Della Rocca; Tong J. Gan; Michael P. Kinsky; Sheldon Magder; Timothy E. Miller; Monty Mythen; Azriel Perel; Daniel A. Reuter; Michael R. Pinsky; George C. Kramer

BackgroundPerioperative fluid therapy remains a highly debated topic. Its purpose is to maintain or restore effective circulating blood volume during the immediate perioperative period. Maintaining effective circulating blood volume and pressure are key components of assuring adequate organ perfusion while avoiding the risks associated with either organ hypo- or hyperperfusion. Relative to perioperative fluid therapy, three inescapable conclusions exist: overhydration is bad, underhydration is bad, and what we assume about the fluid status of our patients may be incorrect. There is wide variability of practice, both between individuals and institutions. The aims of this paper are to clearly define the risks and benefits of fluid choices within the perioperative space, to describe current evidence-based methodologies for their administration, and ultimately to reduce the variability with which perioperative fluids are administered.MethodsBased on the abovementioned acknowledgements, a group of 72 researchers, well known within the field of fluid resuscitation, were invited, via email, to attend a meeting that was held in Chicago in 2011 to discuss perioperative fluid therapy. From the 72 invitees, 14 researchers representing 7 countries attended, and thus, the international Fluid Optimization Group (FOG) came into existence. These researches, working collaboratively, have reviewed the data from 162 different fluid resuscitation papers including both operative and intensive care unit populations. This manuscript is the result of 3xa0years of evidence-based, discussions, analysis, and synthesis of the currently known risks and benefits of individual fluids and the best methods for administering them.ResultsThe results of this review paper provide an overview of the components of an effective perioperative fluid administration plan and address both the physiologic principles and outcomes of fluid administration.ConclusionsWe recommend that both perioperative fluid choice and therapy be individualized. Patients should receive fluid therapy guided by predefined physiologic targets. Specifically, fluids should be administered when patients require augmentation of their perfusion and are also volume responsive. This paper provides a general approach to fluid therapy and practical recommendations.


Perioperative medicine (London, England) | 2014

Total joint Perioperative Surgical Home: an observational financial review

Darren R. Raphael; Maxime Cannesson; Ran Schwarzkopf; Leslie M. Garson; Shermeen Vakharia; Ranjan Gupta; Zeev N. Kain

BackgroundThe numbers of people requiring total arthroplasty is expected to increase substantially over the next two decades. However, increasing costs and new payment models in the USA have created a sustainability gap. Ad hoc interventions have reported marginal cost reduction, but it has become clear that sustainability lies only in complete restructuring of care delivery. The Perioperative Surgical Home (PSH) model, a patient-centered and physician-led multidisciplinary system of coordinated care, was implemented at UC Irvine Health in 2012 for patients undergoing primary elective total knee arthroplasty (TKA) or total hip arthroplasty (THA). This observational study examines the costs associated with this initiative.MethodsThe direct cost of materials and services (excluding professional fees and implants) for a random index sample following the Total Joint-PSH pathway was used to calculate per diem cost. Cost of orthopedic implants was calculated based on audit-verified direct cost data. Operating room and post-anesthesia care unit time-based costs were calculated for each case and analyzed for variation. Benchmark cost data were obtained from literature search. Data are presented as mean ± SD (coefficient of variation) where possible.ResultsTotal per diem cost was


Critical Care | 2011

Evaluation of a novel closed-loop fluid-administration system based on dynamic predictors of fluid responsiveness: an in silico simulation study

Joseph B. Rinehart; B. S. Alexander; Yannick Le Manach; Christoph K. Hofer; Benoît Tavernier; Zeev N. Kain; Maxime Cannesson

10,042 ± 1,305 (13%) for TKA and


Critical Care | 2015

Perioperative goal-directed therapy and postoperative outcomes in patients undergoing high-risk abdominal surgery: a historical-prospective, comparative effectiveness study

Maxime Cannesson; Davinder Ramsingh; Joseph Rinehart; Aram N. Demirjian; Trung Vu; Shermeen Vakharia; David K. Imagawa; Zhaoxia Yu; Sheldon Greenfield; Zeev N. Kain

9,952 ± 1,294 (13%) for THA. Literature-reported benchmark per diem cost was


Current Heart Failure Reports | 2010

Minimally invasive monitoring of cardiac output in the cardiac surgery intensive care unit.

Jamal A. Alhashemi; Maurizio Cecconi; Giorgio Della Rocca; Maxime Cannesson; Christoph K. Hofer

17,588 for TKA and


Canadian Journal of Anaesthesia-journal Canadien D Anesthesie | 2015

The "grey zone" or how to avoid the binary constraint of decision-making.

Maxime Cannesson

16,267 for THA. Implant cost was


American Journal of Physiology-heart and Circulatory Physiology | 2006

Effects of modulation of left ventricular contractile state and loading conditions on tissue Doppler myocardial performance index.

Maxime Cannesson; Didier Jacques; Michael R. Pinsky; John Gorcsan

7,482 ± 4,050 (54%) for TKA and


Archive | 2012

System and method for closed-loop patient-adaptive hemodynamic management

Joseph B. Rinehart; Maxime Cannesson

9869 ± 1,549 (16%) for THA. Total hospital cost was


ASA Newsletter | 2015

Perioperative Medicine and the Future of Anesthesiology Training

Navid Alem; Kyle Ahn; Maxime Cannesson; Zeev N. Kain

17,894 ± 4,270 (24%) for TKA and

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Zeev N. Kain

University of California

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Trung Vu

University of California

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Zhaoxia Yu

University of California

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