Search

Your search keyword '"Michard, A."' showing total 837 results
Start Over Author "Michard, A." Language undetermined
837 results on '"Michard, A."'

1. A French study of cocaine intoxication/exposure in children (2010–2020)

Author

Isabelle Claudet, Caroline Caula, Jean-Christophe Gallart, Gaelle Tourniaire, Marion Lerouge-Bailhache, Anne-Pascale Michard-Lenoir, Antoine Tran, Aline Maleterre, Frédéric Huet, Damien Dufour, Nicolas Billaud, Alexandra David, Marie Di Patrizio, Mathilde Granjon, Grégoire Benoist, Christine Laguille, Marie-Aline Guitteny, Martine Balençon, Bénédicte Vrignaud, Romain Basmaci, Marie Dampfhoffer, François Dubos, Hélène Chappuy, Philippe Minodier, Nicolas Médiamolle, and Camille Bréhin

Subjects
General Medicine, Toxicology
Published
2023

3. Extension of a lower plate passive margin coeval with subduction of the adjacent slab: The Western Alps and Maghrebides cases

Author

Aboubaker Farah, Omar Saddiqi, Moulley Charaf Chabou, and André Michard

Abstract

The Piemonte-Ligurian-Maghrebian Tethys or “Alpine Tethys” developed at the western tip of the Tethys Ocean between Eurasia and Gondwana. The evolution of the Alpine Tethys during the post-Pangea rifting and oceanic expansion from the Early Jurassic to the Early Cretaceous has been well documented compared to its evolution from the onset of the African-Eurasian convergence during the Late Cretaceous upward. In this contribution, based on our studies and the literature, we try to decipher the evolution of this ocean through the study of its inverted margins during Late Cretaceous-Paleocene times. In the Western Alps, the Briançonnais domain, which constituted the distal European magma-poor passive margin of the Alpine Tethys, was affected by a systemic extension in the Late Cretaceous-Paleocene. This late extension, poorly described so far, operated only a few million years before the Briançonnais encroached the SE-dipping subduction zone under the Adria microplate. In the Maghrebides transects from the Rif belt (Northern Morocco) to the Peloritani Mountains of Sicily (e.g., Bouillin, 1986; Bouillin et al., 1986) the Alkapeca (Alboran-Kabylias-Peloritan-Calabre) terranes were part of south-eastern Iberia until the Early Jurassic opening of the narrow Betic Ocean (Puga et al., 2011) or OCT domain (Jabaloy Sánchez et al., 2019). The Alkapeca blocks preserve in their “Dorsale calcaire” units remnants of the northern margin of the Alpine Tethys and then are southwestern equivalents of the Briançonnais domain, except they were fragmented and carried onto the African and south-eastern Iberia margins during the Tertiary opening of the back-arc Mediterranean basins. We observe that the Dorsale calcaire units testify to extensional deformation like the Briançonnais during the Late Cretaceous-Paleocene, i.e., when Africa-Eurasia-Iberia convergence was active and then subduction of the intervening Tethyan slab must have occurred somewhere. We propose here for the first time that the Late Cretaceous-Paleocene subduction of the Ligurian-Maghrebian slab occurred under the North African margin in the southward continuation of the Alpine subduction. Contrary to some early claims, the North African margin did not experience significant compression during the Late Cretaceous-Paleocene, which compares with the Adria margin case during the same period. During the Eocene, a Subduction Polarity Reversal occurred, which was associated with the relocation of the subduction zone along the Alkapeca blocks. This was the beginning of the Apenninic subduction, which triggered the back-arc opening of the Mediterranean basins and corresponds to the back-thrusting tectonic phase in the Western Alps.References Bouillin J-P, 1986. Le « bassin maghrébin » : une ancienne limite entre l’Europe et l’Afrique à l’ouest des Alpes. Bull. Soc. Géol. Fr. (8) 2 :547-558.Bouillin JP, et al., 1986. Betic-Rifian and Tyrrhenian Arcs : Distinctive Features, Genesis and Development Stages. Developments Geotect. 21:281-304.Puga E, et al., 2011. Petrology, geochemistry and U-Pb geochronology of the Betic Ophiolites: Inferences for Pangaea break-up and birth of the Westernmost Tethys Ocean. Lithos 124:265-272.Jabaloy Sánchez A, et al., 2019. Lithological successions of the Internal Zones and Flysch Trough Units of the Betic Chain. In : Quesada C and Oliveira JT (eds.), The Geology of Iberia: A Geodynamic Approach. Region. Geol. Rev. (Springer Nature Publ.)

Published
2023

4. Dual control of host actin polymerization by aLegionellaeffector pair

Author

M. Pillon, C. Michard, N. Baïlo, J. Bougnon, K. Picq, O. Dubois, C. Andrea, L. Attaiech, V. Daubin, S. Jarraud, E. Kay, and P. Doublet

Abstract

Host actin cytoskeleton is often targeted by pathogenic bacteria through the secretion of effectors.Legionella pneumophilavirulence relies on the injection of the largest known arsenal of bacterial proteins, over 300 Dot/Icm Type 4 Secretion System effectors, into the host cytosol. Here we define the functional interactions between VipA and LegK2, two effectors with antagonistic activities towards actin polymerization that have been proposed to interfere with the endosomal pathway. We confirmed the prominent role of LegK2 effector inLegionellainfection, as the deletion oflegK2results in defects in the inhibition of actin polymerization at theLegionellaContaining Vacuole, as well as in endosomal escape of bacteria and subsequent intracellular replication. More importantly, we observed the restoration of theΔlegK2mutant defects, upon deletion ofvipAgene, making LegK2/VipA the first example of effector-effector suppression pair that targets the actin cytoskeleton and whose functional interaction impactsL. pneumophilavirulence. We demonstrated that LegK2 and VipA do not modulate each other’s activity in a ‘metaeffector’ relationship. Instead, the antagonistic activities of the LegK2/VipA effector pair would target different substrates, Arp2/3 for LegK2 and G-actin for VipA, to temporally control actin polymerization at the LCV and interfere with phagosome maturation and endosome recycling, thus contributing to the intracellular life cycle of the bacterium. Strikingly, the functional interaction between LegK2 and VipA is consolidated by an evolutionary history that has refined the best effector repertoire for the benefit ofL. pneumophilavirulence.

Published
2023

9. Evaluation of a new smartphone optical blood pressure application (OptiBP™) in the post-anesthesia care unit: a method comparison study against the non-invasive automatic oscillometric brachial cuff as the reference method

Author

Olivier Desebbe, Mohammed El Hilali, Karim Kouz, Brenton Alexander, Lydia Karam, Dragos Chirnoaga, Jean-Francois Knebel, Jean Degott, Patrick Schoettker, Frederic Michard, Bernd Saugel, Jean-Louis Vincent, and Alexandre Joosten

Subjects
Anesthesiology and Pain Medicine, Oscillometry, Humans, Anesthesia, Blood Pressure, Blood Pressure Determination, Health Informatics, Smartphone, Critical Care and Intensive Care Medicine, Blood Pressure Monitors
Abstract

We compared blood pressure (BP) values obtained with a new optical smartphone application (OptiBP™) with BP values obtained using a non-invasive automatic oscillometric brachial cuff (reference method) during the first 2 h of surveillance in a post-anesthesia care unit in patients after non-cardiac surgery. Three simultaneous BP measurements of both methods were recorded every 30 min over a 2-h period. The agreement between measurements was investigated using Bland-Altman and error grid analyses. We also evaluated the performance of the OptiBP™ using ISO81060-2:2018 standards which requires the mean of the differences ± standard deviation (SD) between both methods to be less than 5 mmHg ± 8 mmHg. Of 120 patients enrolled, 101 patients were included in the statistical analysis. The Bland-Altman analysis demonstrated a mean of the differences ± SD between the test and reference methods of + 1 mmHg ± 7 mmHg for mean arterial pressure (MAP), + 2 mmHg ± 11 mmHg for systolic arterial pressure (SAP), and + 1 mmHg ± 8 mmHg for diastolic arterial pressure (DAP). Error grid analysis showed that the proportions of measurement pairs in risk zones A to E were 90.3% (no risk), 9.7% (low risk), 0% (moderate risk), 0% (significant risk), 0% (dangerous risk) for MAP and 89.9%, 9.1%, 1%, 0%, 0% for SAP. We observed a good agreement between BP values obtained by the OptiBP™ system and BP values obtained with the reference method. The OptiBP™ system fulfilled the AAMI validation requirements for MAP and DAP and error grid analysis indicated that the vast majority of measurement pairs (≥ 99%) were in risk zones A and B.Trial Registration ClinicalTrials.gov Identifier: NCT04262323.

Published
2022

11. Machine learning for the real-time assessment of left ventricular ejection fraction in critically ill patients: a bedside evaluation by novices and experts in echocardiography

Author

Varudo, Rita, Gonzalez, Filipe, Leote, João, Martins, Cristina, Bacariza, Jacobo, Fernandes, Antero, Michard, Frederic, and Repositório da Universidade de Lisboa

Subjects
Artificial intelligence, Left ventricular ejection fraction, Critical Illness, Reproducibility of Results, Stroke Volume, Critical Care and Intensive Care Medicine, Ventricular Function, Left, Ventricular Dysfunction, Left, Echocardiography, Machine learning, Humans, Point of care ultrasound, Novice, Cardiomyopathies
Abstract

© The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data., Background: Machine learning algorithms have recently been developed to enable the automatic and real-time echocardiographic assessment of left ventricular ejection fraction (LVEF) and have not been evaluated in critically ill patients. Methods: Real-time LVEF was prospectively measured in 95 ICU patients with a machine learning algorithm installed on a cart-based ultrasound system. Real-time measurements taken by novices (LVEFNov) and by experts (LVEFExp) were compared with LVEF reference measurements (LVEFRef) taken manually by echo experts. Results: LVEFRef ranged from 26 to 80% (mean 54 ± 12%), and the reproducibility of measurements was 9 ± 6%. Thirty patients (32%) had a LVEFRef < 50% (left ventricular systolic dysfunction). Real-time LVEFExp and LVEFNov measurements ranged from 31 to 68% (mean 54 ± 10%) and from 28 to 70% (mean 54 ± 9%), respectively. The reproducibility of measurements was comparable for LVEFExp (5 ± 4%) and for LVEFNov (6 ± 5%) and significantly better than for reference measurements (p < 0.001). We observed a strong relationship between LVEFRef and both real-time LVEFExp (r = 0.86, p < 0.001) and LVEFNov (r = 0.81, p < 0.001). The average difference (bias) between real time and reference measurements was 0 ± 6% for LVEFExp and 0 ± 7% for LVEFNov. The sensitivity to detect systolic dysfunction was 70% for real-time LVEFExp and 73% for LVEFNov. The specificity to detect systolic dysfunction was 98% both for LVEFExp and LVEFNov. Conclusion: Machine learning-enabled real-time measurements of LVEF were strongly correlated with manual measurements obtained by experts. The accuracy of real-time LVEF measurements was excellent, and the precision was fair. The reproducibility of LVEF measurements was better with the machine learning system. The specificity to detect left ventricular dysfunction was excellent both for experts and for novices, whereas the sensitivity could be improved.

Published
2022

13. One small wearable, one giant leap for patient safety?

Author

Frederic Michard, Morgan Le Guen, and Robert H. Thiele

Subjects
medicine.medical_specialty, business.industry, Wearable computer, Health Informatics, Critical Care and Intensive Care Medicine, medicine.disease, Intensive Care Units, Wearable Electronic Devices, Patient safety, Anesthesiology and Pain Medicine, Respiratory Rate, Capnography, Anesthesiology, Commentary, Humans, Medicine, Patient Safety, Medical emergency, Microwaves, business, Monitoring, Physiologic
Abstract

Continuous monitoring of the respiratory rate is crucial in an acute care setting. Contact respiratory monitoring modalities such as capnography and thoracic impedance pneumography are prone to artifacts, causing false alarms. Moreover, their cables can restrict patient behavior or interrupt patient care. A microwave Doppler sensor is a novel non-contact continuous respiratory rate monitor. We compared respiratory rate measurements performed with a microwave Doppler sensor mounted on the ceiling of an intensive care unit with those obtained by conventional methods in conscious and spontaneously breathing patients. Participants' respiratory rate was simultaneously measured by visual counting of chest wall movements for 60 s; a microwave Doppler sensor; capnography, using an oxygen mask; and thoracic impedance pneumography, using electrocardiogram electrodes. Bland-Altman analysis for repeated measures was performed to calculate bias and 95% limits of agreement between the respiratory rate measured by visual counting (reference) and that measured by each of the other methods. Among 52 participants, there were 336 (microwave Doppler sensor), 275 (capnography), and 336 (thoracic impedance pneumography) paired respiratory rate data points. Bias (95% limits of agreement) estimates were as follows: microwave Doppler sensor, 0.3 (- 6.1 to 6.8) breaths per minute (bpm); capnography, - 1.3 (- 8.6 to 6.0) bpm; and thoracic impedance pneumography, 0.1 (- 4.4 to 4.7) bpm. Compared to visual counting, the microwave Doppler sensor showed small bias; however, the limits of agreement were similar to those observed in other conventional methods. Our monitor and the conventional ones are not interchangeable with visual counting.Trial registration number: UMIN000032021, March/30/2018.

Published
2021

14. Pretransplant Intensive Care Unit Management and Selection of Grade 3 Acute‐on‐Chronic Liver Failure Transplant Candidates

Author

Pietro Addeo, Ralf Janssen Langenstein, François Faitot, Maleka Schenck, Philippe Bachellier, Marie-Line Harlay, Francis Schneider, Baptiste Michard, Mathilde Deridder, Vincent Castelain, Jean-Etienne Herbrecht, Camille Besch, Max Guillot, and Thierry Artzner

Subjects
Liver Cirrhosis, Transplantation, medicine.medical_specialty, Hepatology, business.industry, medicine.medical_treatment, Liver failure, Acute-On-Chronic Liver Failure, Liver transplantation, Prognosis, Intensive care unit, Liver Transplantation, law.invention, Intensive Care Units, law, Internal medicine, Cohort, Humans, Medicine, Surgery, Acute on chronic liver failure, business, Retrospective Studies
Abstract

The aim of this study is to report on the liver transplantation (LT) activity and posttransplant outcome, over time, of patients with grade 3 acute-on-chronic liver failure (ACLF-3) in a single transplant center performing a large number of LTs for patients with ACLF-3. It aims at showing how pre-LT intensive care unit (ICU) management impacts post-LT outcomes, in particular through monitoring the transplantation for ACLF-3 model (TAM) score. A total of 100 patients who had ACLF-3 at the time of LT between 2007 and 2019 were included retrospectively. The cohort was divided in 2 periods, with 50 patients in each period. There was an increase in the number of patients with ACLF-3 who received an LT during the course of the study period and significantly higher 1-year post-LT survival rates in the second period compared with the first period (86% versus 66%, respectively; P = 0.02). Interestingly, patients during both periods had similar severity profiles and scores apart from a significantly lower number of patients with TAM scores >2 at the time of LT in the second period compared with the first period (1 [2%] versus 11 [22%], respectively; P ≤ 0.01). In addition, patients whose clinical condition improved in the ICU (with a TAM score downstaged between admission and LT) had significantly higher post-LT survival rates than those whose TAM score stayed the same or increased: 88% versus 70%, respectively (P = 0.04). This study shows a learning curve in LT for patients with ACLF-3, with optimized ICU management and patient selection leading to increased numbers of LTs for patients with ACLF-3 and improved post-LT outcomes. It also delineates how the TAM score can be used to identify the optimal transplantability window for patients with ACLF-3.

Published
2021

15. Clinical evaluation of a wearable sensor for mobile monitoring of respiratory rate on hospital wards

Author

Kristiina Järvelä, Panu Takala, Frederic Michard, Leena Vikatmaa, HUS Perioperative, Intensive Care and Pain Medicine, Helsinki University Hospital Area, and Anestesiologian yksikkö

Subjects
medicine.medical_specialty, Wireless monitoring, Respiratory rate, Wearable computer, Health Informatics, Critical Care and Intensive Care Medicine, Tachypnea, Wearable Electronic Devices, Respiratory Rate, Thoracic impedance, medicine, Humans, Respiratory frequency, Wearable sensor, Monitoring, Physiologic, Ward monitoring, Capnography, medicine.diagnostic_test, business.industry, Monitoring system, 3126 Surgery, anesthesiology, intensive care, radiology, Hospitals, Remote monitoring, Anesthesiology and Pain Medicine, Emergency medicine, medicine.symptom, business, Clinical evaluation
Abstract

A wireless and wearable system was recently developed for mobile monitoring of respiratory rate (RR). The present study was designed to compare RR mobile measurements with reference capnographic measurements on a medical-surgical ward. The wearable sensor measures impedance variations of the chest from two thoracic and one abdominal electrode. Simultaneous measurements of RR from the wearable sensor and from the capnographic sensor (1 measure/minute) were compared in 36 ward patients. Patients were monitored for a period of 182 ± 56 min (range 68–331). Artifact-free RR measurements were available 81% of the monitoring time for capnography and 92% for the wearable monitoring system (p 20 (tachypnea) with a sensitivity of 81% and a specificity of 93%. In ward patients, the wearable sensor enabled accurate and precise measurements of RR within a relatively broad range (6–36 b/min) and the detection of tachypnea with high sensitivity and specificity.

Published
2021

16. Prise en charge hospitalière de l’enfant victime de traumatisme crânien non accidentel

Author

Anne-Pascale Michard-Lenoir, Armelle Gayot, Morgane Sonnet, and Christian Dransart

Subjects
business.industry, Shock (circulatory), Health care, Care pathway, Medicine, Medical emergency, medicine.symptom, Shaken baby syndrome, business, Good practice, medicine.disease, Pediatrics, National authority
Abstract

The baby victim of a shock is not always diagnosed at the time of his first visit to the emergency room. The recommendation for good practice in situations of shaken baby syndrome, published in July 2017 by the French National Authority for Health, helps in the diagnosis and management of these infants by health care providers. When this diagnosis is made, the baby's care pathway is generally long and punctuated by multiple examinations.

Published
2021

17. The Surprising Dynamics of Electrochemical Coupling at Membrane Sandwiches in Plants

Author

Ingo Dreyer, Fernando Vergara-Valladares, Franko Mérida-Quesada, María Eugenia Rubio-Meléndez, Naomí Hernández-Rojas, Janin Riedelsberger, Sadith Zobeida Astola-Mariscal, Charlotte Heitmüller, Mónica Yanez-Chávez, Oscar Arrey-Salas, Alex San Martín-Davison, Carlos Navarro-Retamal, and Erwan Michard

Subjects
Ecology, Plant Science, Ecology, Evolution, Behavior and Systematics
Abstract

Transport processes across membranes play central roles in any biological system. They are essential for homeostasis, cell nutrition, and signaling. Fluxes across membranes are governed by fundamental thermodynamic rules and are influenced by electrical potentials and concentration gradients. Transmembrane transport processes have been largely studied on single membranes. However, several important cellular or subcellular structures consist of two closely spaced membranes that form a membrane sandwich. Such a dual membrane structure results in remarkable properties for the transport processes that are not present in isolated membranes. At the core of membrane sandwich properties, a small intermembrane volume is responsible for efficient coupling between the transport systems at the two otherwise independent membranes. Here, we present the physicochemical principles of transport coupling at two adjacent membranes and illustrate this concept with three examples. In the supplementary material, we provide animated PowerPoint presentations that visualize the relationships. They could be used for teaching purposes, as has already been completed successfully at the University of Talca.

Published
2022

18. TPC1-Type Channels in

Author

Franko, Mérida-Quesada, Fernando, Vergara-Valladares, María Eugenia, Rubio-Meléndez, Naomí, Hernández-Rojas, Angélica, González-González, Erwan, Michard, Carlos, Navarro-Retamal, and Ingo, Dreyer

Abstract

Two-pore channels (TPCs) are members of the superfamily of ligand-gated and voltage-sensitive ion channels in the membranes of intracellular organelles of eukaryotic cells. The evolution of ordinary plant TPC1 essentially followed a very conservative pattern, with no changes in the characteristic structural footprints of these channels, such as the cytosolic and luminal regions involved in Ca

Published
2022

21. Pre-operative CT scan helps predict outcome after liver transplantation for acute-on-chronic grade 3 liver failure

Author

Baptiste Michard, Pietro Addeo, Thierry Artzner, Philippe Bachellier, Sébastien Molière, Camille Besch, Francis Veillon, Antoine Wackenthaler, François Faitot, Francis Schneider, Maleka Schenck, Biomatériaux et Bioingénierie (BB), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, and Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Liver Cirrhosis, medicine.medical_specialty, Multivariate analysis, medicine.medical_treatment, Liver transplantation, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, medicine, Clinical endpoint, Humans, Radiology, Nuclear Medicine and imaging, Retrospective Studies, Neuroradiology, medicine.diagnostic_test, business.industry, Acute-On-Chronic Liver Failure, Interventional radiology, General Medicine, Prognosis, medicine.disease, Liver Transplantation, Transplantation, 030220 oncology & carcinogenesis, Sarcopenia, Portal hypertension, Radiology, Tomography, X-Ray Computed, business, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

Objectives: The aim of this study was to identify the prognostic value of pre-operative imaging to predict post-transplantation survival in critically ill cirrhotic patients with severe acute-on-chronic liver failure (ACLF). Methods: Patients with grade 3 ACLF who underwent liver transplantation between January 2010 and January 2020 and with available contrast-enhanced abdominal computed tomography (CT) performed less than 3 months before LT were retrospectively included (n = 82). Primary endpoint was 1-year mortality. Imaging parameters (sarcopenia, liver morphology and volumetry, and signs of portal hypertension) were screened and tested to build a prognostic score. Results: In the multivariate analysis, three independent CT-derived prognostic factors were found: splenomegaly (p = 0.021; HR = 5.6 (1.29-24.1)), liver atrophy (p = 0.05; HR = 2.93 (1.01-10.64)), and vena cava diameter ratio (p < 0.0001; HR = 12.7 (3.4-92)). A simple prognostic score was proposed, based on the presence of splenomegaly (5 points), liver atrophy (5 points), and vena cava diameter ratio < 0.2 (12 points). A cutoff at 10 points distinguished a high-risk group (score > 10) from a low-risk group (score ≤ 10) with 1-year survival of 27% vs. 67% respectively (p < 0.001). It was found to be an independent predictive factor in association with the Transplantation for ACLF3 Model (TAM) score. Conclusion: Pre-transplantation contrast-enhanced abdominal CT has a significant impact on selection of patients in ACLF3 in order to predict 1-year survival after LT. Key points: • Splenomegaly, liver atrophy, and vena cava diameter ratio are independent CT-derived prognostic factors after transplantation for severe acute-on-chronic liver failure. • A simple CT-based prognostic score is an independent predictive factor, complementary to clinical and biological parameters. • The use of the CT-derived score allows stratification based on 1-year mortality for patients with otherwise uncertain prognosis with clinical and biological parameters alone. Keywords: Acute-on-chronic liver failure; Liver transplantation; Tomography.

Published
2021

22. Rethinking Patient Surveillance on Hospital Wards

Author

Cor J. Kalkman and Frederic Michard

Subjects
Safety Management, medicine.medical_specialty, Respiratory rate, Vital signs, MEDLINE, law.invention, 03 medical and health sciences, 0302 clinical medicine, 030202 anesthesiology, law, Heart rate, medicine, Humans, 030212 general & internal medicine, Monitoring, Physiologic, Cross Infection, Vital Signs, business.industry, Workload, Intensive care unit, Hospitals, Intensive Care Units, Oxygen Saturation Measurement, Anesthesiology and Pain Medicine, Blood pressure, Emergency medicine, business
Abstract

Continuous and mobile monitoring of vital signs may soon become a reality on hospital wards. By enabling the early detection of clinical deterioration, it may improve quality of care and patient safety.

Published
2021

25. Could strain echocardiography help to assess systolic function in critically ill COVID-19 patients?

Author

Rui Gomes, Frederic Michard, Filipe Gonzalez, and Jacobo Bacariza

Subjects
Global longitudinal strain, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Systole, Critical Illness, Ventricular Dysfunction, Right, Point-of-care ultrasound, Health Informatics, Context (language use), Systolic function, Brief Communication, Critical Care and Intensive Care Medicine, Internal medicine, Humans, Medicine, cardiovascular diseases, Speckle tracking, Ejection fraction, SARS-CoV-2, Critically ill, business.industry, COVID-19, Stroke Volume, Anesthesiology and Pain Medicine, medicine.anatomical_structure, Echocardiography, Ventricle, cardiovascular system, Cardiology, business, Lateral wall
Abstract

Strain echocardiography enables the automatic quantification of the global longitudinal strain (GLS), which is a direct measure of ventricular shortening during systole. In the current context of overwhelmed ICUs and clinician shortage, GLS has the advantage to be quick and easy to measure by non-experts. However, little is known regarding its value to assess bi-ventricular systolic function in critically ill COVID-19 patients. Therefore, we designed a study to compare right and left ventricular GLS with classic echo-Doppler indices of systolic function, namely the ejection fraction for the left ventricle (LVEF) and the fractional area change (FAC), the tricuspid annular plane systolic excursion (TAPSE), and the tissue Doppler velocity of the basal free lateral wall (S’) for the right ventricle. Eighty transthoracic echocardiographic evaluations done in 30 ICU patients with COVID-19 were analyzed. We observed a fair relationship (r = 0.73, p − 17% had a LVEF

Published
2021

26. HIV Prevention and Care of Transgender Women in an HIV and STI Clinic in the Paris Metropolitan Area

Author

Yazdan Yazdanpanah, Julia Zelie, Florence Michard, and Bahar Azadi

Subjects
Cultural Studies, medicine.medical_specialty, 030505 public health, Human immunodeficiency virus (HIV), medicine.disease_cause, Metropolitan area, Medical care, Transgender women, Gender Studies, 03 medical and health sciences, 0302 clinical medicine, Social integration, Family medicine, medicine, 030212 general & internal medicine, 0305 other medical science, Psychology
Abstract

HIV infection burden is globally high among transgender women (TGW) and particularly in TGW migrant sex workers and TGW subpopulations with structural inequalities like racism and classism. In addition to stigma related to transphobia, migrant TGW face multiple forms of discrimination because of intersection with other experiences of stigma related to migration and working as sex workers in the host society. This study explores the experiences of TGW seeking care in an HIV and STI clinic in Paris, to evaluate medical adherence, namely, the degree to which a patient is regularly followed up in care and adequately takes the treatment, and trans individuals' social inclusion in this health institution. We examined the different forms of HIV-associated stigma among TGW. A qualitative study was conducted using semistructural in-depth interviews with TGW receiving HIV care and HIV preventive measures. A description is given of how a community-based participation policy and practice in this clinic integrate an intersectional approach among TGW. This results in a high rate of medical adherence in TGW migrants and could lead to social integration.

Published
2020

27. Liver transplantation for critically ill cirrhotic patients: Stratifying utility based on pretransplant factors

Author

Baptiste Michard, Tasneem Pirani, Nigel Heaton, Philippe Bachellier, Claire Francoz, Louise Barbier, Eleni Theocharidou, Francis Schneider, William Bernal, Petru Bucur, Ephrem Salamé, Zair Noorah, Olivier Soubrane, Thierry Artzner, Catherine Paugam-Burtz, John O'Grady, Emmanuel Weiss, Jean-Claude Merle, Lawrence Serfaty, Eric Levesque, François Faitot, Hélène Barraud, François Durand, François Lefebvre, Camille Besch, Biomatériaux et Bioingénierie (BB), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, and Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Liver Cirrhosis, medicine.medical_specialty, Critical Illness, medicine.medical_treatment, Liver transplantation, Single Center, Liver disease, Internal medicine, medicine, Humans, Immunology and Allergy, Pharmacology (medical), Risk factor, Retrospective Studies, Mechanical ventilation, Transplantation, business.industry, Critically ill, Acute-On-Chronic Liver Failure, Middle Aged, Prognosis, medicine.disease, Liver Transplantation, Cohort, business, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

The aim of this study was to produce a prognostic model to help predict posttransplant survival in patients transplanted with grade-3 acute-on-chronic liver failure (ACLF-3). Patients with ACLF-3 who underwent liver transplantation (LT) between 2007 and 2017 in 5 transplant centers were included (n = 152). Predictors of 1-year mortality were retrospectively screened and tested on a single center training cohort and subsequently tested on an independent multicenter cohort composed of the 4 other centers. Four independent pretransplant risk factors were associated with 1-year mortality after transplantation in the training cohort: age ≥53 years (P = .044), pre-LT arterial lactate level ≥4 mml/L (P = .013), mechanical ventilation with PaO2 /FiO2 ≤ 200 mm Hg (P = .026), and pre-LT leukocyte count ≤10 G/L (P = .004). A simplified version of the model was derived by assigning 1 point to each risk factor: the transplantation for Aclf-3 model (TAM) score. A cut-off at 2 points distinguished a high-risk group (score >2) from a low-risk group (score ≤2) with 1-year survival of 8.3% vs 83.9% respectively (P

Published
2020

28. Organ allocation in the age of the algorithm: avoiding futile transplantation – utility in allocation

Author

François Faitot, Thierry Artzner, and Baptiste Michard

Subjects
Transplantation, medicine.medical_specialty, Tissue and Organ Procurement, Optimal matching, Computer science, MEDLINE, Organ Transplantation, 030230 surgery, Organ transplantation, 03 medical and health sciences, 0302 clinical medicine, Quality of life (healthcare), Transparency (graphic), Quality of Life, medicine, Humans, Immunology and Allergy, 030211 gastroenterology & hepatology, Metric (unit), Adaptation (computer science), Algorithm, Algorithms
Abstract

Purpose of review This review describes and questions the evolution of allocation systems from local team decisions in the 20th century to patient-oriented allocation using complex algorithm predicting transplant benefit. Recent findings The opening years of the 2000s have seen the implementation of prioritization scores aiming at increasing transparency and reducing waitlist mortality. The 2010s have underlined the necessity of drawing the upper limits of how sick a patient can be while still ensuring acceptable survival. More complex algorithms evaluating transplant benefit have been implemented in allocation systems to take this issue into account. Summary Allocation algorithms are becoming more and more complex, integrating numerous parameters from both donor and recipient to achieve optimal matching. The limitations of implementing these complex algorithms are represented by the evermoving waiting list demography, geographic disparities between recipients and donors, team policy adaptation to rule changes, and implicit biases within the transplant community. Survival as the only metric by which to define benefit may be seen as restrictive; quality of life may be a fruitful measure for better defining benefit in organ transplantation in the future.

Published
2020

29. Wake symmetrization of a bluff Ahmed body based on sliding mode control

Author

D. Ébérard, S. Sesmat, Thomas Castelain, K. Mariette, F. Bribiesca-Argomedo, Jacques Borée, Marc Michard, É. Bideaux, Yann Haffner, Ampère, Département Méthodes pour l'Ingénierie des Systèmes (MIS), Ampère (AMPERE), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut Pprime (PPRIME), Université de Poitiers-ENSMA-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Mecanique des Fluides et d'Acoustique (LMFA), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[PHYS.PHYS.PHYS-FLU-DYN]Physics [physics]/Physics [physics]/Fluid Dynamics [physics.flu-dyn], 0209 industrial biotechnology, 02 engineering and technology, Wake, 7. Clean energy, Sliding mode control, Physics::Fluid Dynamics, crosswind, 020901 industrial engineering & automation, Control theory, Bluff, [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, Fluid flow control, [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY], 0202 electrical engineering, electronic engineering, information engineering, Aerodynamic drag, delay compensation, Physics, 020208 electrical & electronic engineering, sliding mode control, Mechanics, Control and Systems Engineering, Drag, Symmetrization, [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC], Crosswind
Abstract

International audience; Aerodynamic drag reduction is needed to develop future fuel efficient ground transportation vehicles. Our study targets bluff bodies with wake asymmetries due to natural bistability or cross wind contributing to the drag increase at high velocities. The originality of this work is to apply closed loop control techniques based on sliding mode control theory and a Smith like predictor scheme for delay compensation in order to force the wake symmetry. This non linear controller was tuned thanks to experimental study of pulsed jet actuators placed at the back of a modified Ahmed bluff body and shows that wake symmetrization can be achieved either in aligned or cross wind configurations.

Published
2020

31. Immunosuppression in patients with grade 3 acute‐on‐chronic liver failure at transplantation: A practice analysis study

Author

Faitot, François, Artzner, Thierry, Michard, Baptiste, Besch, Camille, Schenck, Maleka, Herbrecht, Jean‐etienne, Janssen Langenstein, Ralf, Maestraggi, Quentin, Guillot, Max, Harlay, Marie‐line, Castelain, Vincent, Addeo, Pietro, Ellero, Bernard, Woehl‐jaegle, Marie‐lorraine, Serfaty, Lawrence, Bachellier, Philippe, Schneider, Francis, Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Biomatériaux et Bioingénierie (BB), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Mitochondrie, stress oxydant et protection musculaire (MSP), Université de Strasbourg (UNISTRA), Interface de Recherche Fondamentale et Appliquée en Cancérologie (IRFAC - Inserm U1113), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Paul Strauss : Centre Régional de Lutte contre le Cancer (CRLCC)-Fédération de Médecine Translationelle de Strasbourg (FMTS), and the Strasbourg LIVER Transplantation (SLIVERT) Study group

Subjects
Graft Rejection, Immunosuppression Therapy, Transplantation, Graft Survival, Acute-On-Chronic Liver Failure, Humans, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Mycophenolic Acid, Immunosuppressive Agents, Tacrolimus, Retrospective Studies
Abstract

Transplantation for patients with acute-on-chronic liver failure grade 3 (ACLF3) has encouraging results with 1-year-survival of 80-90%. These patients with multiple organ failure meet the conditions for serious alterations of drug metabolism and increased toxicity. The goal of this study was to identify immunosuppression-dependent factors that affect survival. This retrospective monocentric study was conducted in patients with ACLF3 consecutively transplanted between 2007 and 2019. The primary endpoint was 1-year survival. Secondary endpoints were overall survival, treated rejection, and surgical complications. Immunosuppression was evaluated as to type of immunosuppression, post-transplant introduction timing, trough levels, and trough level intra-patient variability (IPV). One hundred patients were included. Tacrolimus IPV < 40% (P = .019), absence of early tacrolimus overdose (P = .033), use of anti-IL2-receptor antibodies (P = .034), and early mycophenolic acid introduction (P = .038) predicted 1-year survival. Treated rejection was an independent predictor of survival (P = .001; HR 4.2 (CI 95%: 1.13-15.6)). Early everolimus introduction was neither associated with higher rejection rates nor with more surgical complications. Management of immunosuppression in ACLF3 critically ill patients undergoing liver transplantation is challenging. Occurrence and treatment of rejection impacts on survival. Early introduction of mTOR inhibitor seems safe and efficient in this situation. Keywords: basilliximab; critically ill patients; everolimus; mycophenolic acid; rejection.

Published
2022

34. From extension to compression: high geothermal gradient during the earliest Variscan phase of the Moroccan Meseta; a first structural and RSCM thermometric study

Author

Omar Saddiqi, Aboubaker Farah, André Michard, Hassan Ouanaimi, Christian Hoepffner, Abderrahmane Soulaimani, Abdeltif Lahfid, Lahssen Baidder, Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), Département de Géologie, Ecole Normale Supérieure, Marrakech, École normale supérieure [ENS] - Marrakech, Université Cadi Ayyad [Marrakech] (UCA), Département de Géologie, Faculté des Sciences, Université Mohammed V de Rabat [Agdal], University Hassan II [Casablanca], Faculté des sciences de Paris, and Université de Paris (1896-1970)

Subjects
010504 meteorology & atmospheric sciences, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, Extension (predicate logic), 010502 geochemistry & geophysics, 01 natural sciences, [SDU]Sciences of the Universe [physics], Geochemistry and Petrology, Phase (matter), Compression (geology), Petrology, Geothermal gradient, ComputingMilieux_MISCELLANEOUS, Geology, [SDU.STU.MI]Sciences of the Universe [physics]/Earth Sciences/Mineralogy, 0105 earth and related environmental sciences
Abstract

International audience

Published
2019

35. New Method to Estimate Central Systolic Blood Pressure From Peripheral Pressure: A Proof of Concept and Validation Study

Author

Denis Chemla, Sandrine Millasseau, Olfa Hamzaoui, Jean-Louis Teboul, Xavier Monnet, Frédéric Michard, and Mathieu Jozwiak

Subjects
cardiovascular risk, RC666-701, mean blood pressure, aortic pressure, diastolic blood pressure, Diseases of the circulatory (Cardiovascular) system, Cardiovascular Medicine, Cardiology and Cardiovascular Medicine, central systolic blood pressure, Original Research
Abstract

Objective: The non-invasive estimation of central systolic blood pressure (cSBP) is increasingly performed using new devices based on various pulse acquisition techniques and mathematical analyses. These devices are most often calibrated assuming that mean (MBP) and diastolic (DBP) BP are essentially unchanged when pressure wave travels from aorta to peripheral artery, an assumption which is evidence-based. We tested a new empirical formula for the direct central blood pressure estimation of cSBP using MBP and DBP only (DCBP = MBP2/DBP).Methods and Results: First, we performed a post-hoc analysis of our prospective invasive high-fidelity aortic pressure database (n = 139, age 49 ± 12 years, 78% men). The cSBP was 146.0 ± 31.1 mmHg. The error between aortic DCBP and cSBP was −0.9 ± 7.4 mmHg, and there was no bias across the cSBP range (82.5–204.0 mmHg). Second, we analyzed 64 patients from two studies of the literature in whom invasive high-fidelity pressures were simultaneously obtained in the aorta and brachial artery. The weighed mean error between brachial DCBP and cSBP was 1.1 mmHg. Finally, 30 intensive care unit patients equipped with fluid-filled catheter in the radial artery were prospectively studied. The cSBP (115.7 ± 18.2 mmHg) was estimated by carotid tonometry. The error between radial DCBP and cSBP was −0.4 ± 5.8 mmHg, and there was no bias across the range.Conclusion: Our study shows that cSBP could be reliably estimated from MBP and DBP only, provided BP measurement errors are minimized. DCBP may have implications for assessing cardiovascular risk associated with cSBP on large BP databases, a point that deserves further studies.

Published
2021

37. Characteristics and prognosis of bloodstream infection in patients with COVID-19 admitted in the ICU: an ancillary study of the COVID-ICU study

Author

Massart, Nicolas, Maxime, Virginie, Fillatre, Pierre, Razazi, Keyvan, Ferré, Alexis, Moine, Pierre, Legay, Francois, Voiriot, Guillaume, Amara, Marlene, Santi, Francesca, Nseir, Saad, Marque-Juillet, Stephanie, Bounab, Rania, Barbarot, Nicolas, Bruneel, Fabrice, Luyt, Charles-Edouard, Mercat, Alain, Asfar, Pierre, Beloncle, François, Demiselle, Julien, Pham, Tài, Pavot, Arthur, Monnet, Xavier, Richard, Christian, Demoule, Alexandre, Dres, Martin, Mayaux, Julien, Beurton, Alexandra, Daubin, Cédric, Descamps, Richard, Joret, Aurélie, Du Cheyron, Damien, Pene, Frédéric, Chiche, Jean-Daniel, Jozwiak, Mathieu, Jaubert, Paul, Fartoukh, Muriel, Teulier, Marion, Blayau, Clarisse, Bodenes, Laetitia, Ferriere, Nicolas, Auchabie, Johann, Le Meur, Anthony, Pignal, Sylvain, Mazzoni, Thierry, Quenot, Jean-Pierre, Andreu, Pascal, Roudau, Jean-Baptiste, Labruyère, Marie, Preau, Sébastien, Poissy, Julien, Mathieu, Daniel, Benhamida, Sarah, Paulet, Rémi, Roucaud, Nicolas, Thyrault, Martial, Daviet, Florence, Hraiech, Sami, Parzy, Gabriel, Sylvestre, Aude, Jochmans, Sébastien, Bouilland, Anne-Laure, Monchi, Mehran, Déserts, Marc Danguy Des, Mathais, Quentin, Rager, Gwendoline, Pasquier, Pierre, Reignier, Jean, Seguin, Amélie, Garret, Charlotte, Canet, Emmanuel, Dellamonica, Jean, Saccheri, Clément, Lombardi, Romain, Kouchit, Yanis, Jacquier, Sophie, Mathonnet, Armelle, Nay, Mai-Ahn, Runge, Isabelle, Martino, Frédéric, Flurin, Laure, Rolle, Amélie, Carles, Michel, Coudroy, Rémi, Thille, Arnaud, Frat, Jean-Pierre, Rodriguez, Maeva, Beuret, Pascal, Tientcheu, Audrey, Vincent, Arthur, Michelin, Florian, Tamion, Fabienne, Carpentier, Dorothée, Boyer, Déborah, Girault, Christophe, Gissot, Valérie, Ehrmann, Stéphan, Gandonniere, Charlotte Salmon, Elaroussi, Djlali, Delbove, Agathe, Fedun, Yannick, Huntzinger, Julien, Lebas, Eddy, Kisoka, Grâce, Grégoire, Céline, Marchetta, Stella, Lambermont, Bernard, Argaud, Laurent, Baudry, Thomas, Bertrand, Pierre-Jean, Dargent, Auguste, Guitton, Christophe, Chudeau, Nicolas, Landais, Mickaël, Darreau, Cédric, Ferre, Alexis, Gros, Antoine, Lacave, Guillaume, Neuville, Mathilde, Devaquet, Jérôme, Tachon, Guillaume, Gallo, Richard, Chelha, Riad, Galbois, Arnaud, Jallot, Anne, Lemoine, Ludivine Chalumeau, Kuteifan, Khaldoun, Pointurier, Valentin, Jandeaux, Louise-Marie, Mootien, Joy, Damoisel, Charles, Sztrymf, Benjamin, Schmidt, Matthieu, Combes, Alain, Chommeloux, Juliette, Luyt, Charles Edouard, Schortgen, Frédérique, Rusel, Leon, Jung, Camille, Gobert, Florent, Vimpere, Damien, Lamhaut, Lionel, Sauneuf, Bertrand, Charrrier, Liliane, Calus, Julien, Desmeules, Isabelle, Painvin, Benoît, Tadie, Jean-Marc, Castelain, Vincent, Michard, Baptiste, Herbrecht, Jean-Etienne, Baldacini, Mathieu, Weiss, Nicolas, Demeret, Sophie, Marois, Clémence, Rohaut, Benjamin, Moury, Pierre-Henri, Savida, Anne-Charlotte, Couadau, Emmanuel, Série, Mathieu, Alexandru, Nica, Bruel, Cédric, Fontaine, Candice, Garrigou, Sonia, Mahler, Juliette Courtiade, Leclerc, Maxime, Ramakers, Michel, Garçon, Pierre, Massou, Nicole, van Vong, Ly, Sen, Juliane, Lucas, Nolwenn, Chemouni, Franck, Stoclin, Annabelle, Avenel, Alexandre, Faure, Henri, Gentilhomme, Angélie, Ricome, Sylvie, Abraham, Paul, Monard, Céline, Textoris, Julien, Rimmele, Thomas, Montini, Florent, Lejour, Gabriel, Lazard, Thierry, Etienney, Isabelle, Kerroumi, Younes, Dupuis, Claire, Bereiziat, Marine, Coupez, Elisabeth, Thouy, François, Hoffmann, Clément, Donat, Nicolas, Chrisment, Anne, Blot, Rose-Marie, Kimmoun, Antoine, Jacquot, Audrey, Mattei, Matthieu, Levy, Bruno, Ravan, Ramin, Dopeux, Loïc, Liteaudon, Jean-Mathias, Roux, Delphine, Rey, Brice, Anghel, Radu, Schenesse, Deborah, Gevrey, Vincent, Castanera, Jermy, Petua, Philippe, Madeux, Benjamin, Hartman, Otto, Piagnerelli, Michael, Joosten, Anne, Noel, Cinderella, Biston, Patrick, Noel, Thibaut, Bouar, Gurvan, Boukhanza, Messabi, Demarest, Elsa, Bajolet, Marie-France, Charrier, Nathanaël, Quenet, Audrey, Zylberfajn, Cécile, Dufour, Nicolas, Mégarbane, Buno, Voicu, Sébastian, Deye, Nicolas, Malissin, Isabelle, Legay, François, Debarre, Matthieu, Delord, Bertrand, Laterrade, Thomas, Saghi, Tahar, Pujol, Wilfried, Cungi, Pierre Julien, Esnault, Pierre, Cardinale, Mickael, Ha, Vivien Hong Tuan, Fleury, Grégory, Brou, Marie-Ange, Zafimahazo, Daniel, Tran-Van, David, Avargues, Patrick, Carenco, Lisa, Robin, Nicolas, Ouali, Alexandre, Houdou, Lucie, Le Terrier, Christophe, Suh, Noémie, Primmaz, Steve, Pugin, Jérome, Weiss, Emmanuel, Gauss, Tobias, Moyer, Jean-Denis, Burtz, Catherine Paugam, La Combe, Béatrice, Smonig, Rolland, Violleau, Jade, Cailliez, Pauline, Chelly, Jonathan, Marchalot, Antoine, Saladin, Cécile, Bigot, Christelle, Fayolle, Pierre-Marie, Fatséas, Jules, Ibrahim, Amr, Resiere, Dabor, Hage, Rabih, Cholet, Clémentine, Cantier, Marie, Trouiler, Pierre, Montravers, Philippe, Lortat-Jacob, Brice, Tanaka, Sebastien, Dinh, Alexy Tran, Duranteau, Jacques, Harrois, Anatole, Dubreuil, Guillaume, Werner, Marie, Godier, Anne, Hamada, Sophie, Zlotnik, Diane, Nougue, Hélène, Mekontso-Dessap, Armand, Carteaux, Guillaume, de Prost, Nicolas, Mongardon, Nicolas, Lamraoui, Meriam, Alessandri, Claire, de Roux, Quentin, de Roquetaillade, Charles, Chousterman, Benjamin, Mebazaa, Alexandre, Gayat, Etienne, Garnier, Marc, Pardo, Emmanuel, Satre-Buisson, Lea, Gutton, Christophe, Yvin, Elise, Marcault, Clémence, Azoulay, Elie, Darmon, Michael, Oufella, Hafid Ait, Hariri, Geoffroy, Urbina, Tomas, Mazerand, Sandie, Heming, Nicholas, Annane, Djillali, Bouglé, Adrien, Omar, Edris, Lancelot, Aymeric, Begot, Emmanuelle, Plantefeve, Gaétan, Contou, Damien, Mentec, Hervé, Pajot, Olivier, Faguer, Stanislas, Cointault, Olivier, Lavayssiere, Laurence, Nogier, Marie-Béatrice, Jamme, Matthieu, Pichereau, Claire, Hayon, Jan, Outin, Hervé, Dépret, François, Coutrot, Maxime, Chaussard, Maité, Guillemet, Lucie, Goffin, Pierre, Thouny, Romain, Guntz, Julien, Jadot, Laurent, Persichini, Romain, Jean-Michel, Vanessa, Georges, Hugues, Caulier, Thomas, Pradel, Gaël, Hausermann, Marie-Hélène, Nguyen-Valat, Thi My Hue, Boudinaud, Michel, Vivier, Emmanuel, Rosseli, Sylvène, Bourdin, Gaël, Pommier, Christian, Vinclair, Marc, Poignant, Simon, Mons, Sandrine, Bougouin, Wulfran, Bruna, Franklin, Maestraggi, Quentin, Roth, Christian, Bitker, Laurent, Dhelft, François, Bonnet-Chateau, Justine, Filippelli, Mathilde, Morichau-Beauchant, Tristan, Thierry, Stéphane, Le Roy, Charlotte, Jouan, Mélanie Saint, Goncalves, Bruno, Mazeraud, Aurélien, Daniel, Matthieu, Sharshar, Tarek, Cadoz, Cyril, Gaci, Rostane, Gette, Sébastien, Louis, Guillaune, Sacleux, Sophe-Caroline, Ordan, Marie-Amélie, Cravoisy, Aurélie, Conrad, Marie, Courte, Guilhem, Gibot, Sébastien, Benzidi, Younès, Casella, Claudia, Serpin, Laurent, Setti, Jean-Lou, Besse, Marie-Catherine, Bourreau, Anna, Pillot, Jérôme, Rivera, Caroline, Vinclair, Camille, Robaux, Marie-Aline, Achino, Chloé, Delignette, Marie-Charlotte, Mazard, Tessa, Aubrun, Frédéric, Bouchet, Bruno, Frérou, Aurélien, Muller, Laura, Quentin, Charlotte, Degoul, Samuel, Stihle, Xavier, Sumian, Claude, Bergero, Nicoletta, Lanaspre, Bernard, Quintard, Hervé, Maiziere, Eve Marie, Egreteau, Pierre-Yves, Leloup, Guillaume, Berteau, Florin, Cottrel, Marjolaine, Bouteloup, Marie, Jeannot, Matthieu, Blanc, Quentin, Saison, Julien, Geneau, Isabelle, Grenot, Romaric, Ouchike, Abdel, Hazera, Pascal, Masse, Anne-Lyse, Demiri, Suela, Vezinet, Corinne, Baron, Elodie, Benchetrit, Deborah, Monsel, Antoine, Trebbia, Grégoire, Schaack, Emmanuelle, Lepecq, Raphaël, Bobet, Mathieu, Vinsonneau, Christophe, Dekeyser, Thibault, Delforge, Quentin, Rahmani, Imen, Vivet, Bérengère, Paillot, Jonathan, Hierle, Lucie, Chaignat, Claire, Valette, Sarah, Her, Benoït, Brunet, Jennifier, Page, Mathieu, Boiste, Fabienne, Collin, Anthony, Bavozet, Florent, Garin, Aude, Dlala, Mohamed, Mhamdi, Kais, Beilouny, Bassem, Lavalard, Alexandra, Perez, Severine, Veber, Benoit, Guitard, Pierre-Gildas, Gouin, Philippe, Lamacz, Anna, Plouvier, Fabienne, Delaborde, Bertrand, Kherchache, Aïssa, Chaalal, Amina, Ricard, Jean-Damien, Amouretti, Marc, Freita-Ramos, Santiago, Roux, Damien, Constantin, Jean-Michel, Assefi, Mona, Lecore, Marine, Selves, Agathe, Prevost, Florian, Lamer, Christian, Shi, Ruiying, Knani, Lyes, Floury, Sébastien Pili, Vettoretti, Lucie, Levy, Michael, Marsac, Lucile, Dauger, Stéphane, Guilmin-Crépon, Sophie, Winiszewski, Hadrien, Piton, Gael, Soumagne, Thibaud, Capellier, Gilles, Putegnat, Jean-Baptiste, Bayle, Frédérique, Perrou, Maya, Thao, Ghyslaine, Géri, Guillaume, Charron, Cyril, Repessé, Xavier, Vieillard-Baron, Antoine, Guilbart, Mathieu, Roger, Pierre-Alexandre, Hinard, Sébastien, Macq, Pierre-Yves, Chaulier, Kevin, Goutte, Sylvie, Chillet, Patrick, Pitta, Anaïs, Darjent, Barbara, Bruneau, Amandine, Lasocki, Sigismond, Leger, Maxime, Gergaud, Soizic, Lemarie, Pierre, Terzi, Nicolas, Schwebel, Carole, Dartevel, Anaïs, Galerneau, Louis-Marie, Diehl, Jean-Luc, Hauw-Berlemont, Caroline, Péron, Nicolas, Guérot, Emmanuel, Amoli, Abolfazl Mohebbi, Benhamou, Michel, Deyme, Jean-Pierre, Andremont, Olivier, Lena, Diane, Cady, Julien, Causeret, Arnaud, de la Chapelle, Arnaud, Cracco, Christophe, Rouleau, Stéphane, Schnell, David, Foucault, Camille, Lory, Cécile, Chapelle, Thibault, Bruckert, Vincent, Garcia, Julie, Sahraoui, Abdlazize, Abbosh, Nathalie, Bornstain, Caroline, Pernet, Pierre, Poirson, Florent, Pasem, Ahmed, Karoubi, Philippe, Poupinel, Virginie, Gauthier, Caroline, Bouniol, François, Feuchere, Philippe, Heron, Anne, Carreira, Serge, Emery, Malo, Le Floch, Anne Sophie, Giovannangeli, Luana, Herzog, Nicolas, Giacardi, Christophe, Baudic, Thibaut, Thill, Chloé, Lebbah, Said, Palmyre, Jessica, Tubach, Florence, Hajage, David, Bonnet, Nicolas, Ebstein, Nathan, Gaudry, Stéphane, Cohen, Yves, Noublanche, Julie, Lesieur, Olivier, Sément, Arnaud, Roca-Cerezo, Isabel, Pascal, Michel, Sma, Nesrine, Colin, Gwenhaël, Lacherade, Jean-Claude, Bionz, Gauthier, Maquigneau, Natacha, Bouzat, Pierre, Durand, Michel, Hérault, Marie-Christine, Payen, Jean-Francois, Centre hospitalier Saint-Brieuc, Hôpital Raymond Poincaré [Garches], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Hôpital Henri Mondor, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Groupe de recherche clinique CARMAS (Cardiovascular and Respiratory Manifestations of Acute lung injury and Sepsis) (CARMAS), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-CHU Henri Mondor [Créteil], Centre Hospitalier de Versailles André Mignot (CHV), CHU Lille, Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 (UGSF), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institut de cardiologie [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases (ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Institut de Cardiométabolisme et Nutrition = Institute of Cardiometabolism and Nutrition [CHU Pitié Salpêtrière] (IHU ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), INSERM UMRS-1144, Université Paris Cité, Réanimation Médicale et Toxicologique, Hôpital Lariboisière, COVID ICU Bacteremia Study Group on behalf of the COVID-ICU Investigators, CHU Tenon [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-CHU Henri Mondor, Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases [IHU ICAN], and Mégarbane, Bruno

Subjects
[SDV.MHEP.ME] Life Sciences [q-bio]/Human health and pathology/Emerging diseases, [SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases, RC86-88.9, Research, Correction, Medical emergencies. Critical care. Intensive care. First aid, bacterial infections and mycoses, Critical Care and Intensive Care Medicine, [SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, [SDV.TOX] Life Sciences [q-bio]/Toxicology, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, [SDV.TOX]Life Sciences [q-bio]/Toxicology, [SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases, [SDV.MHEP.PSR] Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, human activities
Abstract

Background Patients infected with the severe acute respiratory syndrome coronavirus 2 (SARS-COV 2) and requiring intensive care unit (ICU) have a high incidence of hospital-acquired infections; however, data regarding hospital acquired bloodstream infections (BSI) are scarce. We aimed to investigate risk factors and outcome of BSI in critically ill coronavirus infectious disease-19 (COVID-19) patients. Patients and methods We performed an ancillary analysis of a multicenter prospective international cohort study (COVID-ICU study) that included 4010 COVID-19 ICU patients. For the present analysis, only those with data regarding primary outcome (death within 90 days from admission) or BSI status were included. Risk factors for BSI were analyzed using Fine and Gray competing risk model. Then, for outcome comparison, 537 BSI-patients were matched with 537 controls using propensity score matching. Results Among 4010 included patients, 780 (19.5%) acquired a total of 1066 BSI (10.3 BSI per 1000 patients days at risk) of whom 92% were acquired in the ICU. Higher SAPS II, male gender, longer time from hospital to ICU admission and antiviral drug before admission were independently associated with an increased risk of BSI, and interestingly, this risk decreased over time. BSI was independently associated with a shorter time to death in the overall population (adjusted hazard ratio (aHR) 1.28, 95% CI 1.05–1.56) and, in the propensity score matched data set, patients with BSI had a higher mortality rate (39% vs 33% p = 0.036). BSI accounted for 3.6% of the death of the overall population. Conclusion COVID-19 ICU patients have a high risk of BSI, especially early after ICU admission, risk that increases with severity but not with corticosteroids use. BSI is associated with an increased mortality rate.

Published
2021

38. Coordination régionale et suivi prospectif du traitement prophylactique et curatif de 301 patients traités par anticorps monoclonaux anti-SARS-CoV-2

Author

P. Licinio, M. Weil, M.H. Morel, D. Marin Braun, B. Gourieux, C. Klein, C. Sordet, E. Chatelus, R. Felten, A. Meyer, J. Sibilia, S. Hirschi, T. Degot, B. Renaud Picard, E. Virot, B. Michard, L.D. Kremer, K. Bigault, R. Cevallos, N. Lefebvre, Y. Hansmann, C. Bronner, M.C. Rybarczyk-Vigouret, L. Pain, and J.E. Gottenberg

Subjects
Rheumatology
Published
2022

39. Impact of conventional vs. goal-directed fluid therapy on urethral tissue perfusion in patients undergoing liver surgery

Author

Olivier Desebbe, Sean Coeckelenbergh, Valerio Lucidi, Jacques Duranteau, François Martin Carrier, Jean Louis Vincent, Brigitte Ickx, Dragos Chirnoaga, Philippe Van der Linden, Alexandre Joosten, Luc Van Obbergh, and Frederic Michard

Subjects
Mean arterial pressure, business.industry, Cardiac index, Central venous pressure, Hemodynamics, Pilot Projects, Stroke volume, law.invention, Perfusion, Anesthesiology and Pain Medicine, Liver, Randomized controlled trial, Basal (medicine), law, Anesthesia, Fluid Therapy, Humans, Medicine, Prospective Studies, business, Goals
Abstract

BACKGROUND Although fluid administration is a key strategy to optimise haemodynamic status and tissue perfusion, optimal fluid administration during liver surgery remains controversial. OBJECTIVE To test the hypothesis that a goal-directed fluid therapy (GDFT) strategy, when compared with a conventional fluid strategy, would better optimise systemic blood flow and lead to improved urethral tissue perfusion (a new variable to assess peripheral blood flow), without increasing blood loss. DESIGN Single-centre prospective randomised controlled superiority study. SETTING Erasme Hospital. PATIENTS Patients undergoing liver surgery. INTERVENTION Forty patients were randomised into two groups: all received a basal crystalloid infusion (maximum 2 ml kg-1 h-1). In the conventional fluid group, the goal was to maintain central venous pressure (CVP) as low as possible during the dissection phase by giving minimal additional fluid, while in the posttransection phase, anaesthetists were free to compensate for any presumed fluid deficit. In the GDFT group, patients received in addition to the basal infusion, multiple minifluid challenges of crystalloid to maintain stroke volume (SV) variation less than 13%. Noradrenaline infusion was titrated to keep mean arterial pressure more than 65 mmHg in all patients. MAIN OUTCOME MEASURE The mean intra-operative urethral perfusion index. RESULTS The mean urethral perfusion index was significantly higher in the GDFT group than in the conventional fluid group (8.70 [5.72 to 13.10] vs. 6.05 [4.95 to 8.75], P = 0.046). SV index (ml m-2) and cardiac index (l min-1 m-2) were higher in the GDFT group (48 ± 9 vs. 33 ± 7 and 3.5 ± 0.7 vs. 2.4 ± 0.4, respectively; P

Published
2021

40. Author response for 'Influenza vaccination and prognosis of COVID ‐19 in hospitalized patients with diabetes: Results from the CORONADO study'

Author

null A Diallo, null M Pichelin, null M Wargny, null P Gourdy, null JB Bonnet, null S Hadjadj, null B Cariou, null A Sultan, null F Galtier, null Matthieu Wargny, null Pascale Mahot, null Bertrand Cariou, null Samy Hadjadj, null Matthieu Pichelin, null Anne‐Laure Fournier‐Guilloux, null Nicolas Mauduit, null Edith Bigot‐Corbel, null Anne‐Sophie Boureau, null Laure Dekcer, null Audrey Ernould, null Claire Primot, null Anne Seguin, null Marielle Joliveau, null Sonia Pouvreau, null Chloé FOURNIER, null Jeremy Thureau, null Edith Fonteneau, null Pamela Hublain, null Chu Nantes, null Carole Agasse, null Mathilde DE Kergaradec, null Vincent Minville, null Fanny Vardon‐Bounes, null Guillaume Martin‐Blondel, null Pierre Gourdy, null Blandine Tramunt, null Marie‐Christine Turnin, null Hélène Hanaire, null Jean‐Michel Mansuy, null Didier Fabre, null Marie‐Blanche Arhainx, null Laurent Cazals, null Laure Combes, null Emmanuelle Lami, null Mallory Cianferani, null Bruno Megarbane, null Pierre Leroy, null Jean‐François Gautier, null Tiphaine Vidal‐Trecan, null Jean‐Pierre Riveline, null Jean‐Louis Laplanche, null Stéphane Mouly, null Louis Potier, null Ronan Roussel, null Malak Taher, null Yawa Abouleka, null Fetta Yaker, null Aurelie Carlier, null Anne Boutten, null Marilyne Hallot‐Feron, null Fadila Mourah, null Charles Thivolet, null Emilie Blond, null Muriel Rolland, null Josep Verdecho Mendez, null Marine Alexandre, null Julien Pottecher, null Emilie Richer, null Laurent Meyer, null Florina Luca, null Jean‐Marc Lessinger, null Thibault Bahougne, null Bruno Guerci, null Lisa Ludwig, null Siham Benzirar, null Catherine Malaplate, null Thierry Matton, null Julien Poissy, null Karine Faure, null Pierre Fontaine, null Florence Baudoux, null Anne Vambergue, null Jean David Pekar, null Marc Lambert, null Cécile Yelnik, null Amélie Bruandet, null Laurent Petit, null Didier Neau, null Vincent Rigalleau, null Annie Berard, null Amandine Galioot, null Remy Coudroy, null Arnaud Thille, null René Robert, null France Roblot‐Cazenave, null Blandine Rammaert, null Pierre Jean Saulnier, null Xavier Piguel, null Nesrine Benhenda, null Camille Husson, null Celine Olivier, null Florence Torremocha, null Mathilde Fraty, null Marie Flamen d'assigny, null Aurelie Miot, null Valentin Bossard, null Kada Klouche, null Alain Makinson, null Ariane Sultan, null Jean‐Baptiste Bonnet, null Vincent Foulongne, null Florence Galtier, null Cécile Aubron, null Séverine Ansart, null Véronique Kerlan, null Pascale Quiniou, null Jean‐Luc Carre, null Stéphane Quesnot, null Bruno Laviolle, null Carole Schwebel, null Olivier Epaulard, null Pierre‐Yves Benhamou, null Cécile Betry, null Anne‐Laure Borel, null Sandrine Lablanche, null Dorra Guergour, null Catherine Duclos, null Emmanuel Cosson, null Erwan Guyot, null Aurore Deniau, null Phucthutrang Nguyen, null Yves Reznik, null Michael Joubert, null Stéphane Allouche, null Lydia Guittet, null Steven Grange, null Manuel Etienne, null Gaëtan Prévost, null Valéry Brunel, null Jean‐Christophe Lagier, null Didier Raoult, null Anne Dutour, null Bénédicte Gaborit, null Sandrine Boulllu, null Patrice Darmon, null Adèle Lasbleiz, null Mathieu Cerino, null Fanny Romain, null Marie Houssays, null Jean Pierre Quenot, null Lionel Piroth, null Bruno Vergès, null Laurence Duvillard, null Bernard Bonnotte, null Alain Mercat, null Vincent Dubee, null Ingrid Allix, null Patrice Rodien, null Robin Dhersin, null Maylis Lebeault, null Wojciech Trzepizur, null Jocelyne Loison, null Antoine Brangier, null Pierre Asfar, null Pascal Reynier, null Françoise Larcher, null Françoise Joubaud, null Marie‐Rita Andreu, null Geoffrey Urbanski, null Laurent Hubert, null Cedric Annweiler, null Jean Dellamonica, null Johan Courjon, null Nicolas Chevalier, null Giulia Chinetti, null Magda Chafai, null Bruno Mourvillier, null Firouze Bani‐Sadr, null Sarra Barraud, null Brigitte Delemer, null Philippe Gillery, null Pascale Labedade, null Amélie Chabrol, null Alfred Penfornis, null Catherine Petit, null Coralie Amadou, null Maxime Adler, null Clément Dubost, null Pierre‐Louis Conan, null Lyse Bordier, null Franck Ceppa, null Cyril Garcia, null Mathilde Sollier, null Olivier Dupuy, null Sophie Laplance, null Olivier Billuart, null Marie Joseph Aroulanda, null Frédérique Olivier, null Florence Ayon, null Nathalie Wilhelm, null Loic Epelboin, null Nadia Sabbah, null Aurelie Charpin, null Pierre Squara, null Olivier Belliard, null Claude Dubois, null Michel Marre, null Johann Auchabie, null Roxane Courtois, null Thierry Duriez, null Tiphaine Mergey, null Laura Vallee, null Laetitia Seguin, null Abdallah Al‐Salameh, null Jean‐Philippe Lanoix, null Sandrine Soriot‐Thomas, null Anne‐Marie Bourgeois‐Descouls, null Rachel Desailloud, null Natacha Germain, null Bogdan Galusca, null Gwenaelle Belleton, null Nesrine Marouani, null Delia Palaghiu, null Amira Hammour, null Fernando Berdaguer, null Thimothée Klopfenstein, null Hajer Zayet, null Patrice Winiszewski, null Marie Zanusso, null Pauline Garnier, null Ingrid Julier, null Karim Hamzaoui, null Sophie Marty‐Gres, null Tarik Sadki, null Lucile Cadot, null Jean‐Louis Dubost, null Céline Gonfroy, null Catherine Campinos, null Pascale Martres, null Marie Pierre Coulhon, null Nicolas Allou, null Marwa Bachir, null Stella Hoang, null Candice Kembellec, null Olivia Suply, null Fatima Kharcha, null Anne‐Claire Devouge, null Anna Flaus‐Furmanuk, null Isabelle Madeline, null Vincent Ehinger, null Sophie Bastard, null Loic Raffray, null Frederic Renou, null Aude Bojarski, null Caroline Paul, null Karine Borsu, null Angelique Gorlin, null Servane Bernardo, null Carole Truong Ut, null Stephane Renaud, null Antoine Vignoles, null Emilie Foch, null Laurie Masse, null Hubert Grand, null Helene Ferrand, null Christelle Raffaitin‐Cardin, null Hadjer Zellagui, null Celine Castang‐Brachet, null Frederique Boury, null Ana Alvarez Tena, null Isabelle Moura, null Pierre Kalfon, null Juliana Darasteanu, null Arnaud Monier, null Pascal Foucault, null Alexandra Depuille, null Stéphanie Laugier‐Robiolle, null Patrick Caneiro, null Maud Basso, null Etienne Larger, null Samir Bouam, null Wahiba Benzenati, null Leila Ait Bachir, null Camille Cussac Pillegand, null Marc Vasse, null Christophe Michard, null Nathanaëlle Montanier, null Luc Millot, null Françoise Crepet, null Danielle Ratsimba, null Kevin Bouiller, null Sophie Borot, null Isabelle Bruckert, null Annie Clergeot, null Franck Schillo, null Dorothée Vignes, null Muriel Bourgeon‐Ghittori, null Hamoud Lachgar, null Claire Lambert DE Cursay, null Stéphane Levante, null Jean Charles Auregan, null Antoine Merlet, null Cécile Zaragoza, null Gwénaëlle Arnault, null Anne‐Gaëlle Loupp, null Olivier Lesieur, null Mariam Roncato‐Saberan, null Didier Gouet, null Romain Lemarie, null Hong_an Allano, null Emmanuel Vivier, null Caroline Pariset, null Cédric Luyton, null Lucien Marchand, null Fanny Doroszewski, null Matthieu Pecquet, null Laurent Perard, null Sylvie Vuillermoz‐Blas, null Nicolas Kacki, null Patricia Charrier, null Amélie Ducet‐Boiffard, null Françoise Desroys Roure, null Olivier Bourron, null Dominique Bonnefont‐Rousselot, null Suzanne Laroche, null Franck Phan, null Agnès Hartemann, null Cyrielle Caussy, null Emmanuel Disse, null Claude Guerin, null Thomas Perpoint, null Philippe Moulin, null Régine Cartier, null Geoffroy Hariri, null Dorothée Chopin, null Camille Vatier, null Nathalie Bourcigaux, null Emmanuelle Chaigneau, null Sophie Christin‐Maitre, null Bruno Donadille, null Bruno Feve, null Sophie Lamothe, null Julie Sarfati, null Pascal Pernet, null Anne Chambon, null Delphine Demarsy, null Hugo Campagne, null Françoise Latil‐Plat, null Monica Berne, null Marilyne Grinand, null Marion Touzet, null Aydrey Zabulon, null Jocelyne Craspag, null Catherine Ledoux, null Cedric Contaret, null Blandine Janand‐Delenne, null Anaïs Giraud, null Marie Lou Lacrimini, null Joëlle Arrivie, null Deborah Ancelle, null Carine Guillois, null Bénédicte Fremy, null Amina Chaalal, null Gaëlle Barrande, null Anne Dorange, null Eglantine Rouanet, null Dominique Seret‐Begue, null Audrey Saoud, null Anne‐Marie Guedj, null Nathalie Bedos, null Fritz‐Line Velayoudom, null Marie Dumas, null Benoite Gonda, null Christine Coffin, null Stéphanie Gibiat, null Myriam Lungo, null Chantal Bully, null Pierre Serusclat, null Stella Bully, null Patricia Carre, null Jean‐Philippe Leberre, null Carlos Elkhoury, null Marine Thieux, null Laetitia Paradisi‐Prieur, and null CORONADO investigators

Subjects
Vaccination, Pediatrics, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), business.industry, Hospitalized patients, Diabetes mellitus, Medicine, business, medicine.disease
Published
2021

41. Toward Smart Monitoring with Phones, Watches, and Wearable Sensors

Author

Frederic Michard

Subjects
Perioperative medicine, Coronavirus disease 2019 (COVID-19), business.industry, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Wearable computer, General Medicine, Accelerometer, Digital health, Smartwatch, Wearable Electronic Devices, Anesthesiology and Pain Medicine, Human–computer interaction, ComputerSystemsOrganization_MISCELLANEOUS, Perioperative care, Medicine, Humans, Smartphone, business, Delivery of Health Care
Abstract

Smartphones are increasingly powerful computers that fit in our pocket. Thanks to dedicated applications or "Apps," they can connect with external sensors to record, analyze, display, store, and share multiple physiologic signals and data. In addition, because modern smartphones are equipped with accelerometers, gyroscopes, cameras, and pressure sensors, they can also be used to directly gather physiologic information. Smartphones and connected sensors are creating opportunities to empower patients, individualize perioperative care, follow patients during their surgical journey, and simplify clinicians' life.

Published
2021

42. AW-Net

Author

Quoc Cuong Pham, Bertrand Luvison, Gaël Guilhem, Antonio J. Morales-Artacho, and Hugo Michard

Subjects
Muscle fascicle, Computer science, business.industry, Ultrasound, Fascicle, Biceps, medicine.anatomical_structure, Injury prevention, medicine, Computer vision, Aponeurosis, Artificial intelligence, business, Muscle architecture, Hamstring
Abstract

Muscle injuries have deep physical and mental impacts on athletic individuals. Not only are injuries a heavy setback for sportspersons as it reduces their practice time, but they also have significant after-math on their personal life [7, 17]. Knowing the individual's muscle state to adapt his practice to his needs and to prevent potential injuries is nowadays a high stake issue. Muscle geometry, referred to as muscle architecture is a crucial determinant of performance (i.e. muscle strength, power, shortening velocity). For a decade, it is proposed that hamstring muscle architecture (e.g. muscle fascicle length) may influence an individual's exposure to muscle injury [2]. B-mode ultrasound imaging is a non-invasive technique widely used to extract muscle properties by identifying the pennation angle and fascicle length in the images but requires time-consuming and prone to approximations manual post-processing of the images. This paper presents a fully automated method to analyze the muscle structure and properties from B-mode ultrasound images, more specifically by estimating the aponeurosis and fascicle architecture. In this study, we focus on segmenting aponeuroses and estimating a vector field modeling of the fascicle structure with a novel multi-task model, Attention W-Net (AW-Net), based on the U-Net architecture with attention gate. We enriched two public ultrasound datasets on lower leg muscles with aponeurosis annotation and made these modifications publicly available. Trained on these datasets, our model outperformed state-of-the-art methods and demonstrates precise estimation of the muscle structure and properties in a fully automated fashion. Additionally, by augmenting the training set with 288 proprietary ultrasound images of the semimembranous and biceps femoris muscles collected on athletic individuals and annotated with medical and sport science experts, our method generalizes to other muscles with further improved performance.

Published
2021

43. Predicting 90-day survival of patients with COVID-19: Survival of Severely Ill COVID (SOSIC) scores

Author

Schmidt, Matthieu, Guidet, Bertrand, Demoule, Alexandre, Ponnaiah, Maharajah, Fartoukh, Muriel, Puybasset, Louis, Combes, Alain, Hajage, David, Mercat, Alain, Asfar, Pierre, Beloncle, François, Demiselle, Julien, Pham, Tài, Pavot, Arthur, Monnet, Xavier, Richard, Christian, Dres, Martin, Mayaux, Julien, Beurton, Alexandra, Daubin, Cédric, Descamps, Richard, Joret, Aurélie, Du Cheyron, Damien, Pene, Frédéric, Chiche, Jean-Daniel, Jozwiak, Mathieu, Jaubert, Paul, Voiriot, Guillaume, Teulier, Marion, Blayau, Clarisse, L’her, Erwen, Aubron, Cécile, Bodenes, Laetitia, Ferriere, Nicolas, Auchabie, Johann, Le Meur, Anthony, Pignal, Sylvain, Mazzoni, Thierry, Quenot, Jean-Pierre, Andreu, Pascal, Roudau, Jean-Baptiste, Labruyère, Marie, Nseir, Saad, Preau, Sébastien, Poissy, Julien, Mathieu, Daniel, Benhamida, Sarah, Paulet, Rémi, Roucaud, Nicolas, Thyrault, Martial, Daviet, Florence, Hraiech, Sami, Parzy, Gabriel, Sylvestre, Aude, Jochmans, Sébastien, Bouilland, Anne-Laure, Monchi, Mehran, Danguy Des Déserts, Marc, Mathais, Quentin, Rager, Gwendoline, Pasquier, Pierre, Jean, Reignier, Amélie, Seguin, Charlotte, Garret, Emmanuel, Canet, Dellamonica, Jean, Saccheri, Clément, Lombardi, Romain, Kouchit, Yanis, Jacquier, Sophie, Mathonnet, Armelle, Nay, Mai-Ahn, Runge, Isabelle, Martino, Frédéric, Flurin, Laure, Rolle, Amélie, Carles, Michel, Coudroy, Rémi, Thille, Arnaud, Frat, Jean-Pierre, Rodriguez, Maeva, Beuret, Pascal, Tientcheu, Audrey, Vincent, Arthur, Michelin, Florian, Tamion, Fabienne, Carpentier, Dorothée, Boyer, Déborah, Girault, Christophe, Gissot, Valérie, Ehrmann, Stéphan, Salmon Gandonniere, Charlotte, Elaroussi, Djlali, Delbove, Agathe, Fedun, Yannick, Huntzinger, Julien, Lebas, Eddy, Kisoka, Grâce, Grégoire, Céline, Marchetta, Stella, Lambermont, Bernard, Argaud, Laurent, Baudry, Thomas, Bertrand, Pierre-Jean, Dargent, Auguste, Guitton, Christophe, Chudeau, Nicolas, Landais, Mickaël, Darreau, Cédric, Ferre, Alexis, Gros, Antoine, Lacave, Guillaume, Bruneel, Fabrice, Neuville, Mathilde, Devaquet, Jérôme, Tachon, Guillaume, Gallot, Richard, Chelha, Riad, Galbois, Arnaud, Jallot, Anne, Chalumeau Lemoine, Ludivine, Kuteifan, Khaldoun, Pointurier, Valentin, Jandeaux, Louise-Marie, Mootien, Joy, Damoisel, Charles, Sztrymf, Benjamin, Chommeloux, Juliette, Luyt, Charles-Edouard, Schortgen, Frédérique, Rusel, Leon, Jung, Camille, Gobert, Florent, Vimpere, Damien, Lamhaut, Lionel, Sauneuf, Bertrand, Charrrier, Liliane, Calus, Julien, Desmeules, Isabelle, Painvin, Benoît, Tadie, Jean-Marc, Castelain, Vincent, Michard, Baptiste, Herbrecht, Jean-Etienne, Baldacini, Mathieu, Weiss, Nicolas, Demeret, Sophie, Marois, Clémence, Rohaut, Benjamin, Moury, Pierre-Henri, Savida, Anne-Charlotte, Couadau, Emmanuel, Série, Mathieu, Alexandru, Nica, Bruel, Cédric, Fontaine, Candice, Garrigou, Sonia, Courtiade Mahler, Juliette, Leclerc, Maxime, Ramakers, Michel, Garçon, Pierre, Massou, Nicole, van Vong, Ly, Sen, Juliane, Lucas, Nolwenn, Chemouni, Franck, Stoclin, Annabelle, Avenel, Alexandre, Faure, Henri, Gentilhomme, Angélie, Ricome, Sylvie, Abraham, Paul, Monard, Céline, Textoris, Julien, Rimmele, Thomas, Montini, Florent, Lejour, Gabriel, Lazard, Thierry, Etienney, Isabelle, Kerroumi, Younes, Dupuis, Claire, Bereiziat, Marine, Coupez, Elisabeth, Thouy, François, Hoffmann, Clément, Donat, Nicolas, Chrisment, Anne, Blot, Rose-Marie, Kimmoun, Antoine, Jacquot, Audrey, Mattei, Matthieu, Levy, Bruno, Ravan, Ramin, Dopeux, Loïc, Liteaudon, Jean-Mathias, Roux, Delphine, Rey, Brice, Anghel, Radu, Schenesse, Deborah, Gevrey, Vincent, Castanera, Jermy, Petua, Philippe, Madeux, Benjamin, Hartman, Otto, Piagnerelli, Michael, Joosten, Anne, Noel, Cinderella, Biston, Patrick, Noel, Thibaut, Bouar, Gurvan, Boukhanza, Messabi, Demarest, Elsa, Bajolet, Marie-France, Charrier, Nathanaël, Quenet, Audrey, Zylberfajn, Cécile, Dufour, Nicolas, Mégarbane, Buno, Voicu, Sqébastian, Deye, Nicolas, Malissin, Isabelle, Legay, François, Debarre, Matthieu, Barbarot, Nicolas, Fillatre, Pierre, Delord, Bertrand, Laterrade, Thomas, Saghi, Tahar, Pujol, Wilfried, Cungi, Pierre-Julien, Esnault, Pierre, Cardinale, Mickael, Hong Tuan Ha, Vivien, Fleury, Grégory, Brou, Marie-Ange, Zafimahazo, Daniel, Tran-Van, David, Avargues, Patrick, Carenco, Lisa, Robin, Nicolas, Ouali, Alexandre, Houdou, Lucie, Le Terrier, Christophe, Suh, Noémie, Primmaz, Steve, Pugin, Jérome, Weiss, Emmanuel, Gauss, Tobias, Moyer, Jean-Denis, Paugam Burtz, Catherine, La Combe, Béatrice, Smonig, Rolland, Violleau, Jade, Cailliez, Pauline, Chelly, Jonathan, Marchalot, Antoine, Saladin, Cécile, Bigot, Christelle, Fayolle, Pierre-Marie, Fatséas, Jules, Ibrahim, Amr, Resiere, Dabor, Hage, Rabih, Cholet, Clémentine, Cantier, Marie, Trouiler, Pierre, Montravers, Philippe, Lortat-Jacob, Brice, Tanaka, Sebastien, Tran Dinh, Alexy, Duranteau, Jacques, Harrois, Anatole, Dubreuil, Guillaume, Werner, Marie, Godier, Anne, Hamada, Sophie, Zlotnik, Diane, Nougue, Hélène, Mekontso-Dessap, Armand, Carteaux, Guillaume, Razazi, Keyvan, de Prost, Nicolas, Mongardon, Nicolas, Langeron, Olivier, Levesque, Eric, Attias, Arié, de Roquetaillade, Charles, Chousterman, Benjamin, Mebazaa, Alexandre, Gayat, Etienne, Garnier, Marc, Pardo, Emmanuel, Satre-Buisson, Lea, Gutton, Christophe, Yvin, Elise, Marcault, Clémence, Azoulay, Elie, Darmon, Michael, Ait Oufella, Hafid, Hariri, Geoffroy, Urbina, Tomas, Mazerand, Sandie, Heming, Nicholas, Santi, Francesca, Moine, Pierre, Annane, Djillali, Bouglé, Adrien, Omar, Edris, Lancelot, Aymeric, Begot, Emmanuelle, Plantefeve, Gaétan, Contou, Damien, Mentec, Hervé, Pajot, Olivier, Faguer, Stanislas, Cointault, Olivier, Lavayssiere, Laurence, Nogier, Marie-Béatrice, Jamme, Matthieu, Pichereau, Claire, Hayon, Jan, Outin, Hervé, Dépret, François, Coutrot, Maxime, Chaussard, Maité, Guillemet, Lucie, Goffin, Pierre, Thouny, Romain, Guntz, Julien, Jadot, Laurent, Persichini, Romain, Jean-Michel, Vanessa, Georges, Hugues, Caulier, Thomas, Pradel, Gaël, Hausermann, Marie-Hélène, Nguyen-Valat, Thi My Hue, Boudinaud, Michel, Vivier, Emmanuel, Rosseli, Sylvène, Bourdin, Gaël, Pommier, Christian, Vinclair, Marc, Poignant, Simon, Mons, Sandrine, Bougouin, Wulfran, Bruna, Franklin, Maestraggi, Quentin, Roth, Christian, Bitker, Laurent, Dhelft, François, Bonnet-Chateau, Justine, Filippelli, Mathilde, Morichau-Beauchant, Tristan, Thierry, Stéphane, Le Roy, Charlotte, Saint Jouan, Mélanie, Goncalves, Bruno, Mazeraud, Aurélien, Daniel, Matthieu, Sharshar, Tarek, Cadoz, Cyril, Gaci, Rostane, Gette, Sébastien, Louis, Guillaune, Sacleux, Sophe-Caroline, Ordan, Marie-Amélie, Cravoisy, Aurélie, Conrad, Marie, Courte, Guilhem, Gibot, Sébastien, Benzidi, Younès, Casella, Claudia, Serpin, Laurent, Setti, Jean-Lou, Besse, Marie-Catherine, Bourreau, Anna, Pillot, Jérôme, Rivera, Caroline, Vinclair, Camille, Robaux, Marie-Aline, Achino, Chloé, Delignette, Marie-Charlotte, Mazard, Tessa, Aubrun, Frédéric, Bouchet, Bruno, Frérou, Aurélien, Muller, Laura, Quentin, Charlotte, Degoul, Samuel, Stihle, Xavier, Sumian, Claude, Bergero, Nicoletta, Lanaspre, Bernard, Quintard, Hervé, Maiziere, Eve Marie, Egreteau, Pierre-Yves, Leloup, Guillaume, Berteau, Florin, Cottrel, Marjolaine, Bouteloup, Marie, Jeannot, Matthieu, Blanc, Quentin, Saison, Julien, Geneau, Isabelle, Grenot, Romaric, Ouchike, Abdel, Hazera, Pascal, Masse, Anne-Lyse, Demiri, Suela, Vezinet, Corinne, Baron, Elodie, Benchetrit, Deborah, Monsel, Antoine, Trebbia, Grégoire, Schaack, Emmanuelle, Lepecq, Raphaël, Bobet, Mathieu, Vinsonneau, Christophe, Dekeyser, Thibault, Delforge, Quentin, Rahmani, Imen, Vivet, Bérengère, Paillot, Jonathan, Hierle, Lucie, Chaignat, Claire, Valette, Sarah, Her, Benoït, Brunet, Jennifier, Page, Mathieu, Boiste, Fabienne, Collin, Anthony, Bavozet, Florent, Garin, Aude, Dlala, Mohamed, Mhamdi, Kais, Beilouny, Bassem, Lavalard, Alexandra, Perez, Severine, Veber, Benoit, Guitard, Pierre-Gildas, Gouin, Philippe, Lamacz, Anna, Plouvier, Fabienne, Delaborde, Bertrand, Kherchache, Aïssa, Chaalal, Amina, Ricard, Jean-Damien, Amouretti, Marc, Freita-Ramos, Santiago, Roux, Damien, Constantin, Jean-Michel, Assefi, Mona, Lecore, Marine, Selves, Agathe, Prevost, Florian, Lamer, Christian, Shi, Ruiying, Knani, Lyes, Pili Floury, Sébastien, Vettoretti, Lucie, Levy, Michael, Marsac, Lucile, Dauger, Stéphane, Guilmin-Crépon, Sophie, Winiszewski, Hadrien, Piton, Gael, Soumagne, Thibaud, Capellier, Gilles, Putegnat, Jean-Baptiste, Bayle, Frédérique, Perrou, Maya, Thao, Ghyslaine, Géri, Guillaume, Charron, Cyril, Repessé, Xavier, Vieillard-Baron, Antoine, Guilbart, Mathieu, Roger, Pierre-Alexandre, Hinard, Sébastien, Macq, Pierre-Yves, Chaulier, Kevin, Goutte, Sylvie, Chillet, Patrick, Pitta, Anaïs, Darjent, Barbara, Bruneau, Amandine, Lasocki, Sigismond, Leger, Maxime, Gergaud, Soizic, Lemarie, Pierre, Terzi, Nicolas, Schwebel, Carole, Dartevel, Anaïs, Galerneau, Louis-Marie, Diehl, Jean-Luc, Hauw-Berlemont, Caroline, Péron, Nicolas, Guérot, Emmanuel, Mohebbi Amoli, Abolfazl, Benhamou, Michel, Deyme, Jean-Pierre, Andremont, Olivier, Lena, Diane, Cady, Julien, Causeret, Arnaud, de la Chapelle, Arnaud, Cracco, Christophe, Rouleau, Stéphane, Schnell, David, Foucault, Camille, Lory, Cécile, Chapelle, Thibault, Bruckert, Vincent, Garcia, Julie, Sahraoui, Abdlazize, Abbosh, Nathalie, Bornstain, Caroline, Pernet, Pierre, Poirson, Florent, Pasem, Ahmed, Karoubi, Philippe, Poupinel, Virginie, Gauthier, Caroline, Bouniol, François, Feuchere, Philippe, Heron, Anne, Carreira, Serge, Emery, Malo, Le Floch, Anne Sophie, Giovannangeli, Luana, Herzog, Nicolas, Giacardi, Christophe, Baudic, Thibaut, Thill, Chloé, Lebbah, Said, Palmyre, Jessica, Tubach, Florence, Bonnet, Nicolas, Ebstein, Nathan, Gaudry, Stéphane, Cohen, Yves, Noublanche, Julie, Lesieur, Olivier, Sément, Arnaud, Roca-Cerezo, Isabel, Pascal, Michel, Sma, Nesrine, Colin, Gwenhaël, Lacherade, Jean-Claude, Bionz, Gauthier, Maquigneau, Natacha, Bouzat, Pierre, Durand, Michel, Hérault, Marie-Christine, Payen, Jean-Francois, Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases (ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Institut de Cardiométabolisme et Nutrition = Institute of Cardiometabolism and Nutrition [CHU Pitié Salpêtrière] (IHU ICAN), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), REanimation et Soins intensifs du Patient en Insuffisance Respiratoire aigüE [CHU Pitié-Salpêtrière] (GRC RESPIRE), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Neurophysiologie Respiratoire Expérimentale et Clinique (UMRS 1158), Département Médico-Universitaire APPROCHES, CHU Tenon [AP-HP], Groupe de recherche clinique CARMAS (Cardiovascular and Respiratory Manifestations of Acute lung injury and Sepsis) (CARMAS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-CHU Henri Mondor, Laboratoire d'Imagerie Biomédicale (LIB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre de Pharmacoépidémiologie de l'AP-HP (Cephepi), INSERM UMRS-1144, Université Paris Cité, Réanimation Médicale et Toxicologique, Hôpital Lariboisière, and Mégarbane, Bruno

Subjects
[SDV.MHEP.ME] Life Sciences [q-bio]/Human health and pathology/Emerging diseases, [SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases, Acute respiratory distress syndrome, RC86-88.9, Research, COVID-19, Medical emergencies. Critical care. Intensive care. First aid, Critical Care and Intensive Care Medicine, Predictive survival model, [SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, [SDV.TOX] Life Sciences [q-bio]/Toxicology, Mechanical ventilation, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, [SDV.TOX]Life Sciences [q-bio]/Toxicology, [SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases, [SDV.MHEP.PSR] Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, Outcome
Abstract

Background Predicting outcomes of critically ill intensive care unit (ICU) patients with coronavirus-19 disease (COVID-19) is a major challenge to avoid futile, and prolonged ICU stays. Methods The objective was to develop predictive survival models for patients with COVID-19 after 1-to-2 weeks in ICU. Based on the COVID–ICU cohort, which prospectively collected characteristics, management, and outcomes of critically ill patients with COVID-19. Machine learning was used to develop dynamic, clinically useful models able to predict 90-day mortality using ICU data collected on day (D) 1, D7 or D14. Results Survival of Severely Ill COVID (SOSIC)-1, SOSIC-7, and SOSIC-14 scores were constructed with 4244, 2877, and 1349 patients, respectively, randomly assigned to development or test datasets. The three models selected 15 ICU-entry variables recorded on D1, D7, or D14. Cardiovascular, renal, and pulmonary functions on prediction D7 or D14 were among the most heavily weighted inputs for both models. For the test dataset, SOSIC-7’s area under the ROC curve was slightly higher (0.80 [0.74–0.86]) than those for SOSIC-1 (0.76 [0.71–0.81]) and SOSIC-14 (0.76 [0.68–0.83]). Similarly, SOSIC-1 and SOSIC-7 had excellent calibration curves, with similar Brier scores for the three models. Conclusion The SOSIC scores showed that entering 15 to 27 baseline and dynamic clinical parameters into an automatable XGBoost algorithm can potentially accurately predict the likely 90-day mortality post-ICU admission (sosic.shinyapps.io/shiny). Although external SOSIC-score validation is still needed, it is an additional tool to strengthen decisions about life-sustaining treatments and informing family members of likely prognosis.

Published
2021

46. Perioperative hemodynamic management 4.0

Author

Emmanuel Futier, Matthieu Biais, Suzana Margareth Lobo, and Frederic Michard

Subjects
Cardiac output, medicine.medical_specialty, Perioperative medicine, business.industry, medicine.medical_treatment, Hemodynamics, Pulmonary artery catheter, Central venous pressure, Blood Pressure, Perioperative, Perioperative Care, Cardiovascular physiology, Postoperative Complications, Anesthesiology and Pain Medicine, Blood pressure, medicine, Fluid Therapy, Humans, Cardiac Output, Intensive care medicine, business
Abstract

Postoperative complications within 30 days represent the third leading cause of death in the world. Multiple solutions have been proposed to tackle the clinical and economic burden of postoperative complications. They include the optimal fluid and hemodynamic management of patients undergoing major surgery. Technological innovations and a better understanding of cardiovascular physiology underlie the evolution of perioperative hemodynamic management, ranging from the mere normalization of heart rate, blood pressure, and central venous pressure to oxygen delivery maximization with a pulmonary artery catheter and individualized fluid management with esophageal Doppler or pulse contour methods. The concept of personalized hemodynamic management recently emerged and may soon become a reality, because of new technologies enabling noninvasive measurement of cardiac output, not only during and after but also before surgery. The monitoring of microcirculation and tissue perfusion may help to fine tune this approach. Importantly, mortality within 30 days after surgery is 1000 times higher than intraoperative mortality. Therefore, continuous ward monitoring with wireless and wearable sensors may be the next major opportunity to improve patient safety.

Published
2019

47. Perioperative Quality Initiative consensus statement on intraoperative blood pressure, risk and outcomes for elective surgery

Author

Daniel I. Sessler, Joshua A. Bloomstone, Solomon Aronson, Colin Berry, Tong J. Gan, John A. Kellum, James Plumb, Monty G. Mythen, Michael P.W. Grocott, Mark R. Edwards, Timothy E. Miller, Michael PW. Grocott, Gareth L. Ackland, Charles S. Brudney, Maurizio Cecconi, Can Ince, Michael G. Irwin, Jonathan Lacey, Michael R. Pinsky, Robert Sanders, Finton Hughes, Angela Bader, Annemarie Thompson, Andreas Hoeft, David Williams, Andrew D. Shaw, Sol Aronson, John Kellum, Joshua Bloomstone, Matthew D. McEvoy, Julie K.M. Thacker, Ruchir Gupta, Elena Koepke, Aarne Feldheiser, Denny Levett, Frederic Michard, and Mark Hamilton

Subjects
Anesthesiology and Pain Medicine
Published
2019

48. Perioperative Quality Initiative consensus statement on preoperative blood pressure, risk and outcomes for elective surgery

Author

Robert D. Sanders, Fintan Hughes, Andrew Shaw, Annemarie Thompson, Angela Bader, Andreas Hoeft, David A. Williams, Michael P.W. Grocott, Monty G. Mythen, Timothy E. Miller, Mark R. Edwards, Michael PW. Grocott, Gareth L. Ackland, Charles S. Brudney, Maurizio Cecconi, Can Ince, Michael G. Irwin, Jonathan Lacey, Michael R. Pinsky, Robert Sanders, Finton Hughes, David Williams, Andrew D. Shaw, Daniel I. Sessler, Sol Aronson, Colin Berry, Tong J. Gan, John Kellum, James Plumb, Joshua Bloomstone, Matthew D. McEvoy, Julie K.M. Thacker, Ruchir Gupta, Elena Koepke, Aarne Feldheiser, Denny Levett, Frederic Michard, and Mark Hamilton

Subjects
medicine.medical_specialty, business.industry, MEDLINE, Diastole, Hemodynamics, Perioperative, medicine.disease, Discontinuation, 03 medical and health sciences, 0302 clinical medicine, Anesthesiology and Pain Medicine, Blood pressure, 030202 anesthesiology, Emergency medicine, Medicine, Myocardial infarction, Elective surgery, business
Abstract

Background A multidisciplinary international working subgroup of the third Perioperative Quality Initiative consensus meeting appraised the evidence on the influence of preoperative arterial blood pressure and community cardiovascular medications on perioperative risk. Methods A modified Delphi technique was used, evaluating papers published in MEDLINE on associations between preoperative numerical arterial pressure values or cardiovascular medications and perioperative outcomes. The strength of the recommendations was graded by National Institute for Health and Care Excellence guidelines. Results Significant heterogeneity in study design, including arterial pressure measures and perioperative outcomes, hampered the comparison of studies. Nonetheless, consensus recommendations were that (i) preoperative arterial pressure measures may be used to define targets for perioperative management; (ii) elective surgery should not be cancelled based solely upon a preoperative arterial pressure value; (iii) there is insufficient evidence to support lowering arterial pressure in the immediate preoperative period to minimise perioperative risk; and (iv) there is insufficient evidence that any one measure of arterial pressure (systolic, diastolic, mean, or pulse) is better than any other for risk prediction of adverse perioperative events. Conclusions Future research should define which preoperative arterial pressure values best correlate with adverse outcomes, and whether modifying arterial pressure in the preoperative setting will change the perioperative morbidity or mortality. Additional research should define optimum strategies for continuation or discontinuation of preoperative cardiovascular medications.

Published
2019

49. Metabolic syndrome and endocrine status in HIV-infected transwomen

Author

Gerald Castanedo, Zelie Julia, Rolland Landman, Sylvie Le Gac, Jean Guibourdenche, Estela Perez, Cecile Ghander, Sylvie Lariven, Cédric Laouénan, Pascale Roland-Nicaise, Jean-David Pommier, Bao Phung, Yazdan Yazdanpanah, Paul Urios, Diane Descamps, Patrick Yeni, Gilles Peytavin, David Moho, Anne Boutten, Florence Michard, and Emmanuelle Papot

Subjects
Adult, Male, 0301 basic medicine, Hormone Replacement Therapy, Substance-Related Disorders, Immunology, Physiology, HIV Infections, Affect (psychology), Transgender Persons, Hospitals, University, 03 medical and health sciences, 0302 clinical medicine, Hypothyroidism, medicine, Humans, Immunology and Allergy, Endocrine system, Prospective Studies, 030212 general & internal medicine, Prospective cohort study, Sex work, Metabolic Syndrome, business.industry, Case-control study, medicine.disease, Substance abuse, 030104 developmental biology, Infectious Diseases, Case-Control Studies, Female, Metabolic syndrome, business, Hormone
Abstract

HIV-infected transwomen face multiple specific issues. Economic and social marginalization, sex work, substance abuse, hormonal consumption and silicone injection may affect the course of HIV infection and lead to metabolic and endocrine complications.A matched case-control study was performed between 2013 and 2015 in a University Hospital and compared metabolic syndrome (MetS), thyroid and adrenal functions in HIV-infected transwomen (i.e. cases) and cisgender HIV-infected men (i.e. controls) matched for age and antiretroviral therapy. The interaction between hormonal consumption, the course of HIV infection and antiretroviral therapy was also studied. Clinical and biological data (CD4 cell count, HIV RNA load, antiretroviral plasma drug concentration, HDL, triglycerides, glucose, cortisol, thyroid stimulating hormone, free thyroxine, prolactine) were measured.A total of 292 HIV-infected patients (100 cases and 192 controls) were prospectively included. There was no difference between the two populations in terms of frequency of MetS, but subclinical hypothyroidism and adrenal insufficiency were more frequent in cases than in controls with, respectively, 12 vs. 3% (P 0.002) for hypothyroidism and 20 vs. 8% (P 0.001) for adrenal insufficiency. Prolactinemia, only performed in transwomen, was often elevated (21%) but rarely confirmed as true active hyperprolactinemia (monomeric form) (3%). Although hormonal intake was frequent among transwomen (31%), no impact on antiretroviral bioavailability and efficacy was detected.In this study, no increase in the prevalence of MetS was detected in HIV-infected transwomen patients. In contrast, adrenal and thyroid functions abnormalities were frequent and should be systematically assessed in this population. No impact of hormonal intake on antiretroviral bioavailability and efficacy was detected.

Published
2019

50. Arterial Pulse Pressure Variation with Mechanical Ventilation

Author

Jean-Louis Teboul, Frederic Michard, Xavier Monnet, and Denis Chemla

Subjects
Pulmonary and Respiratory Medicine, Cardiac output, medicine.medical_specialty, Surviving Sepsis Campaign, Heart Diseases, medicine.medical_treatment, Critical Care and Intensive Care Medicine, law.invention, 03 medical and health sciences, 0302 clinical medicine, Randomized controlled trial, law, Internal medicine, medicine, Humans, Arterial Pressure, 030212 general & internal medicine, Mechanical ventilation, Arterial pulse pressure, Respiratory Distress Syndrome, business.industry, Respiration, Artificial, Pulse pressure, Preload, Treatment Outcome, 030228 respiratory system, Breathing, Cardiology, Fluid Therapy, business
Abstract

Fluid administration leads to a significant increase in cardiac output in only half of ICU patients. This has led to the concept of assessing fluid responsiveness before infusing fluid. Pulse pressure variation (PPV), which quantifies the changes in arterial pulse pressure during mechanical ventilation, is one of the dynamic variables that can predict fluid responsiveness. The underlying hypothesis is that large respiratory changes in left ventricular stroke volume, and thus pulse pressure, occur in cases of biventricular preload responsiveness. Several studies showed that PPV accurately predicts fluid responsiveness when patients are under controlled mechanical ventilation. Nevertheless, in many conditions encountered in the ICU, the interpretation of PPV is unreliable (spontaneous breathing, cardiac arrhythmias) or doubtful (low Vt). To overcome some of these limitations, researchers have proposed using simple tests such as the Vt challenge to evaluate the dynamic response of PPV. The applicability of PPV is higher in the operating room setting, where fluid strategies made on the basis of PPV improve postoperative outcomes. In medical critically ill patients, although no randomized controlled trial has compared PPV-based fluid management with standard care, the Surviving Sepsis Campaign guidelines recommend using fluid responsiveness indices, including PPV, whenever applicable. In conclusion, PPV is useful for managing fluid therapy under specific conditions where it is reliable. The kinetics of PPV during diagnostic or therapeutic tests is also helpful for fluid management.

Published
2019

Catalog

Books, media, physical & digital resources
See catalog results