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1. Discontinuous stereotactic body radiotherapy schedule increases overall survival in early-stage non-small cell lung cancer

Author: Jérôme Doyen, Joël Castelli, Enrique Chajon, F. Thillays, Hervé Lena, Pierre-Yves Bondiau, Stéphane Supiot, R. de Crevoisier, Charles Ricordel, Loig Vaugier, Line Claude, J. Bellec, and L. Duvergé
Subjects: 0301 basic medicine, Pulmonary and Respiratory Medicine, Cancer Research, medicine.medical_specialty, Lung Neoplasms, Urology, Radiosurgery, 03 medical and health sciences, 0302 clinical medicine, Carcinoma, Non-Small-Cell Lung, Humans, Medicine, Stage (cooking), Lung cancer, Neoplasm Staging, Retrospective Studies, Performance status, business.industry, Proportional hazards model, Hazard ratio, medicine.disease, Small Cell Lung Carcinoma, Confidence interval, Treatment Outcome, 030104 developmental biology, Oncology, 030220 oncology & carcinogenesis, Propensity score matching, T-stage, business
Abstract: The duration of stereotactic body radiotherapy (SBRT) for early-stage non-small cell lung cancer (NSCLC) may affect patient outcomes. We aimed to determine the impact of a continuous versus discontinuous SBRT schedule on local control (LC) and overall survival (OS) in NSCLC patients.Consecutive NSCLC stage I patients (475) treated with SBRT in four centers were retrospectively analyzed. The delivered dose ranged from 48 to 75 Gy in 3-10 fractions. Based on the ratio between the treatment duration (TD) and number of fractions (n), patients were divided into two groups: continuous schedule (CS) (TD ≤ 1.6n; 239 patients) and discontinuous schedule (DS) (TD 1.6n; 236 patients). LC and OS were compared using Cox regression analyses after propensity score matching (216 pairs).The median follow-up period was 41 months. Multivariate analysis showed that the DS (hazard ratio (HR): 0.42; 95 % confidence interval (CI): 0.22-0.78) and number of fractions (HR: 1.24; 95 % CI: 1.07-1.43) were significantly associated with LC. The DS (HR: 0.67; 95 % CI: 0.51-0.89), age (HR: 1.02; 95 % CI: 1-1.03), WHO performance status (HR: 2.27; 95 % CI: 1.39-3.7), and T stage (HR: 1.4; 95 % CI: 1.03-1.87) were significantly associated with OS. The 3-year LC and OS were 92 % and 64 % and 81 % and 53 % for DS and CS treatments, respectively (p 0.01). Cox analysis confirmed that the discontinuous SBRT schedule significantly increased LC and OS.DS is associated with significantly improved LC and OS in early-stage NSCLC patients treated with SBRT.
Published: 2021
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2. Relationship Between Obesity and Ventilator-Associated Pneumonia

Author: Saad Nseir, Amélie Le Gouge, Olivier Pouly, Jean-Baptiste Lascarrou, Jean-Claude Lacherade, Jean-Paul Mira, Emmanuelle Mercier, Pierre-Louis Declercq, Michel Sirodot, Gaël Piton, François Tinturier, Elisabeth Coupez, Stéphane Gaudry, Michel Djibré, Didier Thevenin, Malika Balduyck, Jean Reignier, Hoang-Nam Bui, Olivier Gontier, Jean-Pierre Quenot, Carole Schwebel, Véronique Leray, Nathalie Rolin, Frédéric Bellec, Vincent Das, Antoine Roquilly, Laurent Brisard, Thierry Boulain, Nadia Anguel, Jérôme Devaquet, Virginie Maxime, Daniel Da Silva, Emmanuel Canet, Bertrand Guidet, Charles Grégoire, Frédéric Martino, Delphine Chatelier, Vlad Botoc, Guillaume Thiery, Christine Kummerlen, J-Etienne Herbrecht, Philippe Letocart, Pierre Asfar, Frederique Ganster, Richecoeur Jack, Argaud Laurent, Zerimech Farid, and Maboudou Patrice
Subjects: Pulmonary and Respiratory Medicine, Mechanical ventilation, medicine.medical_specialty, business.industry, Incidence (epidemiology), medicine.medical_treatment, Hazard ratio, Ventilator-associated pneumonia, Critical Care and Intensive Care Medicine, medicine.disease, Intensive care unit, Enteral administration, law.invention, 03 medical and health sciences, 0302 clinical medicine, Parenteral nutrition, 030228 respiratory system, Interquartile range, law, Internal medicine, medicine, 030212 general & internal medicine, Cardiology and Cardiovascular Medicine, business
Abstract: Background Patients with obesity are at higher risk for community-acquired and nosocomial infections. However, no study has specifically evaluated the relationship between obesity and ventilator-associated pneumonia (VAP). Research Question Is obesity associated with an increased incidence of VAP? Study Design and Methods This study was a post hoc analysis of the Impact of Early Enteral vs Parenteral Nutrition on Mortality in Patients Requiring Mechanical Ventilation and Catecholamines (NUTRIREA2) open-label, randomized controlled trial performed in 44 French ICUs. Adults receiving invasive mechanical ventilation and vasopressor support for shock and parenteral nutrition or enteral nutrition were included. Obesity was defined as BMI ≥ 30 kg/m2 at ICU admission. VAP diagnosis was adjudicated by an independent blinded committee, based on all available clinical, radiologic, and microbiologic data. Only first VAP episodes were taken into account. Incidence of VAP was analyzed by using the Fine and Gray model, with extubation and death as competing risks. Results A total of 699 (30%) of the 2,325 included patients had obesity; 224 first VAP episodes were diagnosed (60 and 164 in obese and nonobese groups, respectively). The incidence of VAP at day 28 was 8.6% vs 10.1% in the two groups (hazard ratio, 0.85; 95% CI 0.63-1.14; P = .26). After adjustment on sex, McCabe score, age, antiulcer treatment, and Sequential Organ Failure Assessment at randomization, the incidence of VAP remained nonsignificant between obese and nonobese patients (hazard ratio, 0.893; 95% CI, 0.66-1.2; P = .46). Although no significant difference was found in duration of mechanical ventilation and ICU length of stay, 90-day mortality was significantly lower in obese than in nonobese patients (272 of 692 [39.3%] patients vs 718 of 1,605 [44.7%]; P = .02). In a subgroup of patients (n = 123) with available pepsin and alpha-amylase measurements, no significant difference was found in rate of abundant microaspiration of gastric contents, or oropharyngeal secretions between obese and nonobese patients. Interpretation Our results suggest that obesity has no significant impact on the incidence of VAP.
Published: 2021
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3. Amyloid and Tau Pathology Associations With Personality Traits, Neuropsychiatric Symptoms, and Cognitive Lifestyle in the Preclinical Phases of Sporadic and Autosomal Dominant Alzheimer’s Disease

Author: Alexa Pichet Binette, Étienne Vachon-Presseau, John Morris, Randall Bateman, Tammie Benzinger, D. Louis Collins, Judes Poirier, John C.S. Breitner, Sylvia Villeneuve, Ricardo Allegri, Fatima Amtashar, Randy Bateman, Sarah Berman, Courtney Bodge, Susan Brandon, William (Bill) Brooks, Jill Buck, Virginia Buckles, Sochenda Chea, Jasmeer Chhatwal, Patricio Chrem, Helena Chui, Jake Cinco, Jack Clifford, Carlos Cruchaga, Mirelle D‘Mello, Tamara Donahue, Jane Douglas, Noelia Edigo, Nilufer Erekin-Taner, Anne Fagan, Marty Farlow, Angela Farrar, Howard Feldman, Gigi Flynn, Nick Fox, Erin Franklin, Hisako Fujii, Cortaiga Gant, Samantha Gardener, Bernardino Ghetti, Alison Goate, Jill Goldman, Brian Gordon, Neill Graff-Radford, Julia Gray, Jenny Gurney, Jason Hassenstab, Mie Hirohara, David Holtzman, Russ Hornbeck, Siri Houeland DiBari, Takeshi Ikeuchi, Snezana Ikonomovic, Gina Jerome, Mathias Jucker, Celeste Karch, Kensaku Kasuga, Takeshi Kawarabayashi, William (Bill) Klunk, Robert Koeppe, Elke Kuder-Buletta, Christoph Laske, Jae-Hong Lee, Johannes Levin, Daniel Marcus, Ralph Martins, Neal Scott Mason, Colin Masters, Denise Maue-Dreyfus, Eric McDade, Lucy Montoya, Hiroshi Mori, Akem Nagamatsu, Katie Neimeyer, James Noble, Joanne Norton, Richard Perrin, Marc Raichle, John Ringman, Jee Hoon Roh, Stephen Salloway, Peter Schofield, Hiroyuki Shimada, Tomoyo Shiroto, Mikio Shoji, Wendy Sigurdson, Hamid Sohrabi, Paige Sparks, Kazushi Suzuki, Laura Swisher, Kevin Taddei, Jen Wang, Peter Wang, Mike Weiner, Mary Wolfsberger, Chengjie Xiong, Xiong Xu, Angela Tam, Anne Labonté, Anne-Marie Faubert, Axel Mathieu, Cécile Madjar, Charles Edouard Carrier, Christian Dansereau, Christina Kazazian, Claude Lepage, Cynthia Picard, David Maillet, Diane Michaud, Doris Couture, Doris Dea, Claudio Cuello, Alan Barkun, Alan Evans, Blandine Courcot, Christine Tardif, Clément Debacker, Clifford R. Jack, David Fontaine, David S. Knopman, Gerhard Maultaup, Jamie Near, Jeannie-Marie Leoutsakos, Jean-Robert Maltais, Jason Brandt, Jens Pruessner, John C. Morris, Laksanun Cheewakriengkrai, Lisa-Marie Münter, Louis Collins, Mallar Chakravarty, Mark A. Sager, Marina Dauar-Tedeschi, Mark Eisenberg, Natasha Rajah, Paul Aisen, Joanne Toussaint, Pedro Rosa-Neto, Pierre Bellec, Penelope Kostopoulos, Pierre Etienne, Pierre N. Tariot, Pierre Orban, Reisa A. Sperling, Rick Hoge, Ronald G. Thomas, Serge Gauthier, Suzanne Craft, Thomas J. Montine, Vasavan Nair, Véronique Bohbot, Vinod Venugopalan, Vladimir Fonov, Yasser Ituria-Medina, Zaven S. Khachaturian, Eduard Teigner, Elena Anthal, Elsa Yu, Fabiola Ferdinand, Galina Pogossova, Ginette Mayrand, Guerda Duclair, Guylaine Gagné, Holly Newbold-Fox, Illana Leppert, Isabelle Vallée, Jacob W. Vogel, Jennifer Tremblay-Mercier, Joanne Frenette, Josée Frappier, Justin Kat, Justin Miron, Karen Wan, Laura Mahar, Leopoldina Carmo, Louise Théroux, Mahsa Dadar, Marianne Dufour, Marie-Elyse Lafaille-Magnan, Melissa Appleby, Mélissa Savard, Miranda Tuwaig, Mirela Petkova, Pierre Rioux, Pierre-François Meyer, Rana El-Khoury, Renee Gordon, Renuka Giles, Samir Das, Seqian Wang, Shirin Tabrizi, Sulantha Mathotaarachchi, Sylvie Dubuc, Tanya Lee, Thomas Beaudry, Valérie Gervais, Véronique Pagé, Julie Gonneaud, Gülebru Ayranci, Tharick A. Pascoal, René Desautels, Fatiha Benbouhoud, Eunice Farah Saint-Fort, Sander C.J. Verfaillie, Sarah Farzin, Alyssa Salaciak, Stephanie Tullo, Etienne Vachon-Presseau, Leslie-Ann Daoust, Theresa Köbe, Nathan Spreng, Melissa McSweeney, Nathalie Nilsson, Morteza Pishnamazi, and Christophe Bedetti
Subjects: 0301 basic medicine, Oncology, medicine.medical_specialty, tau Proteins, Disease, Article, 03 medical and health sciences, Cognition, 0302 clinical medicine, Alzheimer Disease, Internal medicine, mental disorders, medicine, Humans, Dementia, Big Five personality traits, Family history, Life Style, Biological Psychiatry, Aged, Amyloid beta-Peptides, Extraversion and introversion, business.industry, medicine.disease, Neuroticism, 3. Good health, 030104 developmental biology, Positron-Emission Tomography, Cohort, Alzheimer's disease, business, 030217 neurology & neurosurgery
Abstract: Background Major prevention trials for Alzheimer’s disease (AD) are now focusing on multidomain lifestyle interventions. However, the exact combination of behavioral factors related to AD pathology remains unclear. In 2 cohorts of cognitively unimpaired individuals at risk of AD, we examined which combinations of personality traits, neuropsychiatric symptoms, and cognitive lifestyle (years of education or lifetime cognitive activity) related to the pathological hallmarks of AD, amyloid-β, and tau deposits. Methods A total of 115 older adults with a parental or multiple-sibling family history of sporadic AD (PREVENT-AD [PRe-symptomatic EValuation of Experimental or Novel Treatments for AD] cohort) underwent amyloid and tau positron emission tomography and answered several questionnaires related to behavioral attributes. Separately, we studied 117 mutation carriers from the DIAN (Dominant Inherited Alzheimer Network) study group cohort with amyloid positron emission tomography and behavioral data. Using partial least squares analysis, we identified latent variables relating amyloid or tau pathology with combinations of personality traits, neuropsychiatric symptoms, and cognitive lifestyle. Results In PREVENT-AD, lower neuroticism, neuropsychiatric burden, and higher education were associated with less amyloid deposition (p = .014). Lower neuroticism and neuropsychiatric features, along with higher measures of openness and extraversion, were related to less tau deposition (p = .006). In DIAN, lower neuropsychiatric burden and higher education were also associated with less amyloid (p = .005). The combination of these factors accounted for up to 14% of AD pathology. Conclusions In the preclinical phase of both sporadic and autosomal dominant AD, multiple behavioral features were associated with AD pathology. These results may suggest potential pathways by which multidomain interventions might help delay AD onset or progression.
Published: 2021
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4. Clinical phenotype and outcomes of pneumococcal versus meningococcal purpura fulminans: a multicenter retrospective cohort study

Author: Fabrice Daviaud, Xavier Valette, Martin Cour, Matthieu Schmidt, Frédéric Pène, Bertrand Sauneuf, Damien Contou, Jean Dellamonica, Bruno Mégarbane, Alexandre Lautrette, Cédric Bruel, Jean-Marc Tadié, Gaëtan Plantefève, Antoine Marchalot, Gaetan Beduneau, Martial Tchir, Christian Brun-Buisson, Julien Grouille, Nicolas Terzi, Delphine Colling, Jérémie Lemarié, Samir Jaber, Jean-Pierre Quenot, Elodie Gelisse, Nicolas de Prost, Gabriel Preda, Nicolas Lerolle, Pascal Beuret, Claire Pichereau, Guillaume Schnell, Mathieu Jozwiak, François Barbier, Armand Mekontso Dessap, Sylvie Ricome, Yacine Tandjaoui, Nadège Demars, Sebastien Preau, Damien Roux, Frédéric Bellec, Amélie Bazire, Arnaud Galbois, Laurent Argaud, Emmanuel Guerot, Stephan Ehrmann, Romain Sonneville, Rémi Coudroy, Olivier Leroy, Pierre Kalfon, Sebastien Jochmans, Lara Zafrani, Vincent Das, Benjamin Zuber, Laurent Guérin, Etienne de Montmollin, Christophe Lenclud, Antoine Kimmoun, Alexandre Conia, Caroline Jannière, Pascal Blanc, Gwenhael Colin, Charlène Le Moal, Centre Hospitalier Victor Dupouy, Groupe de recherche clinique CARMAS (Cardiovascular and Respiratory Manifestations of Acute lung injury and Sepsis) (CARMAS), CHU Tenon [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Henri Mondor, HOPEFUL Study group: Laurent Argaud, François Barbier, Amélie Bazire, Gaëtan Béduneau, Frédéric Bellec, Pascal Beuret, Pascal Blanc, Cédric Bruel, Christian Brun-Buisson, Gwenhaël Colin, Delphine Colling, Alexandre Conia, Rémi Coudroy, Martin Cour, Damien Contou, Fabrice Daviaud, Vincent Das, Jean Dellamonica, Nadège Demars, Stephan Ehrmann, Arnaud Galbois, Elodie Gelisse, Julien Grouille, Laurent Guérin, Emmanuel Guérot, Samir Jaber, Caroline Jannière, Sébastien Jochmans, Mathieu Jozwiak, Pierre Kalfon, Antoine Kimmoun, Alexandre Lautrette, Jérémie Lemarié, Charlène Le Moal, Christophe Lenclud, Nicolas Lerolle, Olivier Leroy, Antoine Marchalot, Bruno Mégarbane, Armand Mekontso Dessap, Etienne de Montmollin, Frédéric Pène, Claire Pichereau, Gaëtan Plantefève, Sébastien Préau, Gabriel Preda, Nicolas de Prost, Jean-Pierre Quenot, Sylvie Ricome, Damien Roux, Bertrand Sauneuf, Matthieu Schmidt, Guillaume Schnell, Romain Sonneville, Jean-Marc Tadié, Yacine Tandjaoui, Martial Tchir, Nicolas Terzi, Xavier Valette, Lara Zafrani, Benjamin Zuber, 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, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Physiologie & médecine expérimentale du Cœur et des Muscles [U 1046] (PhyMedExp), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Service de Réanimation Médicale et Toxicologique [Hôpital Lariboisière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Lariboisière-Fernand-Widal [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Optimisation thérapeutique en Neuropsychopharmacologie (OPTeN (UMR_S_1144 / U1144)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), and Duchange, Nathalie
Subjects: medicine.medical_specialty, [SDV]Life Sciences [q-bio], Neisseria meningitidis, Critical Care and Intensive Care Medicine, medicine.disease_cause, Pneumococcal Infections, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Septic shock, Streptococcus pneumoniae, Research Letter, Medicine, Humans, Meningitis, Clinical phenotype, ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, Retrospective Studies, 0303 health sciences, Purpura fulminans, business.industry, RC86-88.9, 030208 emergency & critical care medicine, Retrospective cohort study, Medical emergencies. Critical care. Intensive care. First aid, medicine.disease, 3. Good health, Meningococcal Infections, [SDV] Life Sciences [q-bio], Phenotype, Treatment Outcome, business
Abstract: Auteurs : The HOPEFUL Study group; International audience; No abstract available
Published: 2021
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5. Unraveling reproducible dynamic states of individual brain functional parcellation

Author: Yu Zhang, Pierre Bellec, Max Mignotte, and Amal Boukhdhir
Subjects: Computer science, Stability (learning theory), Neurosciences. Biological psychiatry. Neuropsychiatry, computer.software_genre, 03 medical and health sciences, Functional brain, 0302 clinical medicine, Data-driven brain parcellation, Artificial Intelligence, Voxel, Time windows, Methods, Association (psychology), Within-subject reproducibility, Seed-based parcellation, 030304 developmental biology, 0303 health sciences, business.industry, Applied Mathematics, General Neuroscience, Subject specific, Spatial reproducibility, Between-subject reproducibility, Pattern recognition, Computer Science Applications, Dynamic states of parcellation, Artificial intelligence, High dimensionality, Functional organization, business, computer, 030217 neurology & neurosurgery, RC321-571
Abstract: Data-driven parcellations are widely used for exploring the functional organization of the brain, and also for reducing the high dimensionality of fMRI data. Despite the flurry of methods proposed in the literature, functional brain parcellations are not highly reproducible at the level of individual subjects, even with very long acquisitions. Some brain areas are also more difficult to parcellate than others, with association heteromodal cortices being the most challenging. An important limitation of classical parcellations is that they are static, that is, they neglect dynamic reconfigurations of brain networks. In this paper, we proposed a new method to identify dynamic states of parcellations, which we hypothesized would improve reproducibility over static parcellation approaches. For a series of seed voxels in the brain, we applied a cluster analysis to regroup short (3 min) time windows into “states” with highly similar seed parcels. We split individual time series of the Midnight scan club sample into two independent sets of 2.5 hr (test and retest). We found that average within-state parcellations, called stability maps, were highly reproducible (over 0.9 test-retest spatial correlation in many instances) and subject specific (fingerprinting accuracy over 70% on average) between test and retest. Consistent with our hypothesis, seeds in heteromodal cortices (posterior and anterior cingulate) showed a richer repertoire of states than unimodal (visual) cortex. Taken together, our results indicate that static functional parcellations are incorrectly averaging well-defined and distinct dynamic states of brain parcellations. This work calls to revisit previous methods based on static parcellations, which includes the majority of published network analyses of fMRI data. Our method may, thus, impact how researchers model the rich interactions between brain networks in health and disease., Author Summary Functional brain parcellation has been a very active topic of investigation for the past two decades, yet there is no evidence to date of reproducible results at the individual level—see for example Figure 2 in Gordon, Laumann, Gilmore, et al. (2017), with a Dice coefficient plateauing around 0.7 using 40 min or more of data. In this paper, we show that highly reproducible brain parcels can be observed using short (3 min) time windows. Different modes—or states—of reproducible parcellations can be observed in a single brain region, and these modes have only little overlap with each other. We carefully quantified these individual dynamic states of parcellation using the Midnight Brain Scan dataset, featuring 5 hr of functional MRI per subject. Our results indicate that static functional parcellation are incorrectly averaging well-defined and distinct dynamic states. This brings important caution for any work based on static atlases, which is the dominant approach currently in so-called network analysis of fMRI data.
Published: 2021

6. Impact of a qSOFA-based triage procedure on antibiotic timing in ED patients with sepsis: A prospective interventional study

Author: Julien Petit, Julien Passerieux, Olivier Maître, Charlotte Guérin, Clément Rozelle, Olivier Cordeau, Aline Cassonnet, Anne Malet, Thierry Boulain, François Barbier, Catherine Bellec, Victoria Carré, Cherki Elhadj, Nathalie Delorme, Pascal Ducroquet, Lida Ebrahim, Sylvain Gauffre, Olivier Giovannetti, Audrey Guérineau, Matthieu Lacroix, Maxence Leclerc, Rémi Leclerc, Florent Maillard, Olivier Maitre, Karim Mediouni, Nesrine Nabli, Camille Pelletier, Dan Popescu, Lavinia Stoican, Jacqueline Surville, and Edem Tsegan-Yawo
Subjects: Adult, Male, medicine.medical_specialty, Non-Randomized Controlled Trials as Topic, Organ Dysfunction Scores, medicine.drug_class, Antibiotics, Sensitivity and Specificity, Time-to-Treatment, Sepsis, 03 medical and health sciences, 0302 clinical medicine, Interquartile range, Internal medicine, medicine, Clinical endpoint, Humans, In patient, Prospective Studies, Aged, Aged, 80 and over, business.industry, Septic shock, 030208 emergency & critical care medicine, General Medicine, Middle Aged, medicine.disease, Triage, Confidence interval, Anti-Bacterial Agents, Emergency Medicine, Female, Emergency Service, Hospital, business
Abstract: Background It has not been investigated whether the quick sepsis-related organ failure assessment score (qSOFA), a new bedside tool for early sepsis detection, may help accelerating antibiotic initiation in ED patients with sepsis. Methods In this prospective pre/post quasi-experimental single-ED study, patients admitted with a suspected bacterial infection were managed using standard triage procedures only (baseline) or in association with qSOFA (intervention, with prioritization of patients with a qSOFA ≥ 2). Results A total of 151/328 (46.0%) and 185/350 (52.8%) patients with definite bacterial infection met the criteria for sepsis in the baseline and intervention periods, respectively. The sensitivity and specificity of a qSOFA ≥ 2 for sepsis prediction were 17.3% (95% confidence interval [CI], 13.6%–21.7%) and 98.8% (95% CI, 97.0%–99.5%). Eleven (7.3%) and 28 (13.5%) patients with sepsis in the baseline and intervention periods received a first antibiotic dose within one hour following triage (primary endpoint, absolute difference 6.2%, 95% CI [−0.5%, 12.7%], P = 0.08). The proportions of patients with sepsis receiving a first antibiotic dose within three hours following triage (39.7% [50/151] versus 36.8% [68/185], absolute difference − 2.9%, 95% CI [−13.3%, 7.3%], P = 0.65), requiring ICU admission, or dying in the hospital were similar in both periods. The median ED occupation rate at triage was 104.3% (interquartile range [IQR], 80.4%–128.3%), with a median number of 157 ED visits per day (IQR, 147–169). Conclusions A qSOFA-based triage procedure does not improve antibiotic timing and outcomes in patients with sepsis admitted to a high-volume ED. The qSOFA value at triage was poorly sensitive for early sepsis detection. Trial registration ( ClinicalTrials.gov ): NCT03299894 .
Published: 2020
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7. Noninvasive ventilation vs. high-flow nasal cannula oxygen for preoxygenation before intubation in patients with obesity: a post hoc analysis of a randomized controlled trial

Author: Rodriguez, Maeva, Ragot, Stéphanie, Coudroy, Rémi, Quenot, Jean-Pierre, Vignon, Philippe, Forel, Jean-Marie, Demoule, Alexandre, Mira, Jean-Paul, Ricard, Jean-Damien, Nseir, Saad, Colin, Gwenhael, Pons, Bertrand, Danin, Pierre-Eric, Devaquet, Jérome, Prat, Gwenael, Merdji, Hamid, Petitpas, Franck, Vivier, Emmanuel, Mekontso-Dessap, Armand, Nay, Mai-Anh, Asfar, Pierre, Dellamonica, Jean, Argaud, Laurent, Ehrmann, Stephan, Fartoukh, Muriel, Girault, Christophe, Robert, René, Thille, Arnaud, Frat, Jean-Pierre, Chatellier, Delphine, Boissier, Florence, Veinstein, Anne, Dahyot-Fizelier, Claire, Dargent, Auguste, Large, Audrey, Begot, Emmanuelle, Mancia, Claire, Decavele, Maxence, Dres, Martin, Lehingue, Samuel, Papazian, Laurent, Paul, Marine, Marin, Nathalie, Le Meur, Matthieu, Laissy, Mohammed, Rouzé, Anahita, Henry-Lagarrigue, Matthieu, Yehia, Aihem, Martino, Frédéric, Cerf, Charles, Bailly, Pierre, Helms, Julie, Putegnat, Jean Baptiste, Razazi, Keyvan, Boulain, Thierry, Cabasson, Séverin, Wallet, Florent, Klouche, Kada, Bellec, Frédéric, Service de Médecine Intensive Réanimation [Tours], Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Centre d’Etude des Pathologies Respiratoires (CEPR), UMR 1100 (CEPR), and Université de Tours (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Subjects: medicine.medical_treatment, Respiratory failure, Critical Care and Intensive Care Medicine, medicine.disease_cause, [SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, Hypoxemia, law.invention, 03 medical and health sciences, 0302 clinical medicine, Randomized controlled trial, High-flow oxygen, law, Preoxygenation, Post-hoc analysis, medicine, Intubation, 030212 general & internal medicine, Obesity, Respiratory system, 2. Zero hunger, business.industry, RC86-88.9, Research, Medical emergencies. Critical care. Intensive care. First aid, 3. Good health, Intubation procedure, 030228 respiratory system, Anesthesia, Non-invasive ventilation, medicine.symptom, business, Nasal cannula
Abstract: Background Critically ill patients with obesity may have an increased risk of difficult intubation and subsequent severe hypoxemia. We hypothesized that pre-oxygenation with noninvasive ventilation before intubation as compared with high-flow nasal cannula oxygen may decrease the risk of severe hypoxemia in patients with obesity. Methods Post hoc subgroup analysis of critically ill patients with obesity (body mass index ≥ 30 kg·m−2) from a multicenter randomized controlled trial comparing preoxygenation with noninvasive ventilation and high-flow nasal oxygen before intubation of patients with acute hypoxemic respiratory failure (PaO2/FiO2 Results Among the 313 patients included in the original trial, 91 (29%) had obesity with a mean body mass index of 35 ± 5 kg·m−2. Patients with obesity were more likely to experience an episode of severe hypoxemia during intubation procedure than patients without obesity: 34% (31/91) vs. 22% (49/222); difference, 12%; 95% CI 1 to 23%; P = 0.03. Among patients with obesity, 40 received preoxygenation with noninvasive ventilation and 51 with high-flow nasal oxygen. Severe hypoxemia occurred in 15 patients (37%) with noninvasive ventilation and 16 patients (31%) with high-flow nasal oxygen (difference, 6%; 95% CI − 13 to 25%; P = 0.54). The lowest pulse oximetry values during intubation procedure were 87% [interquartile range, 77–93] with noninvasive ventilation and 86% [78–92] with high-flow nasal oxygen (P = 0.98). After multivariable analysis, factors independently associated with severe hypoxemia in patients with obesity were intubation difficulty scale > 5 points and respiratory primary failure as reason for admission. Conclusions Patients with obesity and acute hypoxemic respiratory failure had an increased risk of severe hypoxemia during intubation procedure as compared to patients without obesity. However, preoxygenation with noninvasive ventilation may not reduce this risk compared with high-flow nasal oxygen. Trial registration Clinical trial number: NCT02668458 (http://www.clinicaltrials.gov)
Published: 2021
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8. Evolution Over Time of Ventilatory Management and Outcome of Patients With Neurologic Disease

Author: Tejerina E. E., Pelosi P., Robba C., Penuelas O., Muriel A., Barrios D., Frutos-Vivar F., Raymondos K., Du B., Thille A. W., Rios F., Gonzalez M., Del-Sorbo L., Marin M. D. C., Valle Pinheiro B., Soares M. A., Nin N., Maggiore S. M., Bersten A., Amin P., Cakar N., Young Suh G., Abroug F., Jibaja M., Matamis D., Ali Zeggwagh A., Sutherasan Y., Anzueto A., Esteban A, Fernando Ríos, Damian Violi, Marisol Rodríguez-Goñi, Roger Lamoglie, Fernando Villarejo, Norberto Tiribelli, Santiago Ilutovich, Matías Brizuela, Mariana Monllau, Fernando Saldarini, Silvina Borello, Alberto Marino, Mauricio Vinzio, Karina Bonasegla, Julián Hernández, María Belén Yapur, María Eugenia González, Sebastián E Mare, Judith Sagardía, Marco Bezzi, Cecilia Pereyra, Julian Strati, Daniel Vargas, Claudia Diaz, Pablo Gómez, Marcelo Palavecino, Graciela Elizabeth, Aguilera García, M Eugenia, Luis Pablo Cardonnet, Lisandro Betttini, Hernán Nuñez, Lucas Vallejo, Fernando Fernández, Jorge Arroyo, Daniel Duarte, Gerardo Filippa, Cayetano Galetti, Hernan Nunia, Fernando Lambert, Elisa Estenssoro, Marina Busico, Javier Horacio Álvarez, Alejandro Raimondi, Gustavo Badariotti, Martín Lugaro, Fernando Lipovestky, Alan Javier Zazu, Hugo Capponcelli, Patricia Vogl, Cristina Orlandi, Alejandro Gómez, Gustavo Jannello, Alejandro Risso, Leticia Rapetti, Guillermo Chiappero, Juan Domingo Fernández, Rodrigo E Gómez-Paz, Marcos Juan Zec, Pascual Valdez, Jorgelina Guyon, Ariel Chena, Sergio Lasdica, Martin Deheza, Schimdt Alejandra, Francisco Criado, Norma Beatriz Márquez, Pablo Desmery, José Luis Scapellato, Gonzalo Javier Ríos, Cristian Casabella, Jasmin Board, Andrew Davies, Andrew Bersten, Elisha Matheson, Amy Waters, John Santamaria, Jennifer Holmes, Cartan Costello, Manoj K Saxena, John Myburgh, Ellen Kinkel, Forbes McGain, Claire Cattigan, Allison Bone, Ian Seppelt, Leonie Weisbrodt, Cheryl Cuzner, Christopher MacIsaac, Deborah Barge, Tania Caf, Cameron Knott, Graeme Duke, Imogen Mitchell, Helen Rodgers, Rachel Whyte, Elisha Fulton, Alistair Nichol, Hergen Buscher, Priya Nair, Claire Reynolds, Simon J G Hockley, Ian Moore, Katherine Davidson, David Milliss, Raju Pusapati, Helen Wong, Jason Fletcher, Julie Smith, Paul Goldrick, Dianne Stephens, Jane Thomas, Anders Aneman, Sutrisno Gunawan, Tom Cowlam, George Lukas, Rick McAllister, Minka Springham, Joanne Sutton, Jeff Presneill, Tony Sutherland, Dianne Hill, Howard Connor, Jenny Dennett, Tim Coles, Freddy Sandy, Sando Chavarria, Marcelo Choque, Ronald Pairumani, Juan Guerra, Marco Antônio Soares Reis, José Carlos Versiani, Eduardo Fonseca Sad, Maria Aparecida Braga, Dinalva Aparecida Gomes, Fernando Antônio Botoni, Maurício Meireles Góes, Frederico Costa Val Barros, Rogério de Castro Pereira, Hugo Urbano, Valéria de Carvalho Magela, Aline Camile Yehia, Bruno Bonaccorsi Fernandino, Marco Antônio Ribeiro Leão, Rovílson Lara, Rubens Altair Amaral de Pádua, Janine Dias Alves, Aloísio Marques do Nascimento, Bruno do Valle Pinheiro, Carlos Alberto Studart Gomes, Marcelo Alcântara Holanda, Frederico Rodrigues Anselmo, Niall Ferguson, Neill Adhikari, Robert Fowler, Cheromi Sittambalam, Mehar-Un-Nisa Raja, Nicole Marinoff, Lauralyn McIntryre, Shawna Reddie, Laura Jones, Irene Watpool, Jeffrey Singh, Madison Dennis, Andrea Matte, Marc Lipkus, Ryan Albert, Andrew Steel, Emily Stern, Michael Miletin, Antonio Raso, Robyn Klages, Jan Friedrich, Orla Smith, Laura Wilson, Deborah Cook, Mark Bailey, Sangeeta Mehta, Stephen Lapinsky, Hannah Mathers, Cheryl Ethier, Stephanie Lubchansky, Samer Haj-Bakri, Dietrich Henzler, Lisa Julien, Luis Soto-Román, Juan Carlos Maurelia, César Antonio Maquilon, Luis Soto-Germani, Bin Du, Yan Kang, Bo Wang, Fachun Zhou, Fang Xu, Haibo Qiu, Yi Yang, Qingyuan Zhan, Bing Sun, Zhenjie Hu, Bin Yu, Xi Zhu, Yu Bai, Gang Li, Yi Li, Geng Zhang, Jianbiao Meng, Xiaobo Huang, Hong Pu, Daxing Yu, Chuanyun Qian, Wei Zhang, Yongjie Yin, Debiao Song, Yunxuan Yue, Zhengxuan Lv, Chengmin Yu, Qunmei Yao, Xue Wang, Yuan Xu, Wei He, Mian Chen, Zhihua Hu, Dongpo Jiang, Jian Huang, Wei Yu, Juanxian Gu, Yangong Chao, Zhixiang Li, Zhicheng Zhang, Wanxia Li, Zhenyang He, Jianguo Li, Chang Liu, Tiehe Qin, Shouhong Wang, Feng Li, Jun Jin, Jianhong Fu, Hongyang Xu, Hongyuan Lin, Jianying Guo, Yalin Liu, Jinghua Wang, Maoqin Li, Jiaqiong Li, Lei Chen, Qing Song, Liang Pan, Xianyao Wan, Jiuzhi Zhang, Weihai Yao, Yuhong Guo, Pang Wing Yan, Kelly Choy, Kwan Ming Chit, Patricia Leung, Chau Chin Man, Marco González, Ricardo Buitrago, Marcela Granados, Guillermo Ortiz, Cesar Enciso, Mario Gómez, Bladimir Alejandro Gil, Juan Pablo Sedano, Luis Fernando Castro Castro, Carlo Alberto Acosta, Marco Gonzalez, Francisco Molina, Camilo Pizarro, Mario Villabon, Carmelo Dueñas, Carlos Andrés Díaz, Nelson Fonseca, Rubén Camargo, Juan David Uribe, Hans-Henrik Bülow, Simona Beniczky, Jens Brushoj, Mikkel Præst, Birgitte Viebaek, Sine Wichman, Anette Mortensen, Susanne Andi Iversen, Bo Broberg, Edgard Luna, Manuel Jibaja, Leonardo Pazmiño, Katty Trelles, Fabricio Picoita, Gustavo Paredes, Vanesa Ramírez, Guillermo Falconí, Cristian Cevallos, Boris Villamagua, Marco Escobar, Freddy Sánchez, Miguel Llano, Miguel Lazcano, Ramiro Puetate, José Miguel Guerrero, Mijail Játiva, Myriam Montalvo, Franklin Villegas, Luis González Zambrano, Ronnie Mantilla, Gina Quinde, Andrea Gimenez, Luis Gonzalez Mosquera, Henry Caballero, María Fernanda García, Marcelo Ochoa, Soraya Puertas, Jackeline Coello, Mario Acosta, Medhat Soliman, Arnaud W Thille, Achille Kouatchet, Alain Mercat, Laurent Brochard, François Collet, Guillaume Marcotte, Pascal Beuret, Jean-Christophe M Richard, Gaëtan Bedunaeu, Pierre-Gildas Guitard, Fabien Soulis, Frédéric Bellec, Philippe Berger, Dorothée Carpentier, Benoit Veber, Salem Ould Zein, Géraldine Dessertaine, C Canevet, Fabien Grelon, Konstantinos Raymondos, Rolf Dembinski, Rolf Rossaint, Steffen Weber-Carstens, Christian Putensen, Maximillian Ragaller, Michael Quintel, Winfried Schubert, Thomas Bein, Heinrich Paulus, Walter Brandt, Lutz Pfeiffer, Silke Frenzel, Thoralf Kerner, P Kruska, Leila Eckholt, Joachim Hartung, Harald Fritz, Monika Holler, Johannes Busch, Andreas Viehöfer, Jens Buettner, Jörn Schlechtweg, Achim Lunkeit, Roland Schneider, Maria Wussow, Nils Marquardt, Christian Frenkel, Falk Hildebrandt, Tumbass Volker, Thomas Lipp, Cezar Mihailescu, Thomas Moellhoff, Thomas Steinke, Oliver Franke, Marcus Ruecker, Markus Schappacher, Steffen Appel, Heinz Kerger, Andreas Schwartz, Jan Dittmann, Jörg Haberkorn, Wolfgang Baier, Walter Seyde, Dimitros Matamis, Eleni Antoniadou, Pertsas Evangelos, Maria Giannakou, Zoltan Szentkereszty, Zsolt Molnar, Pravin Amin, Farhad N Kapadia, Nagarajan Ramakrishnan, Deepak Govil, Anitha Shenoy, Umesh G, Samir Sahu, Sheila Nainan Myatra, Subhash Kumar Todi, Sanjay Dhanuka, Mayur Patel, P Samaddar, Dhruva Chaudhry, Vivek Joshi, Srinivas Samavedam, Ankur Devendra Bhavsar, Prachee Sathe, Sujoy Mukherjee, Salvatore Maurizio Maggiore, Francesco Idone, Federica Antonicelli, Paolo Navalesi, Rosanna Vaschetto, Arianna Boggero, Rosalba Tufano, Michele Iannuzzi, Edoardo De Robertis, Romano Tetamo, Andrea Neville Cracchiolo, Antonio Braschi, Francesco Mojoli, Ilaria Curro', Mirko Belliato, Chiara Verga, Marta Ferrari, Erika Mannelli, Valerio Mangani, Giorgio Tulli, Francesca Frigieri, Armando Pedulla', Monica Rocco, Giorgia Citterio, Di Russo, Gaetano Perchiazzi, Loredana Pitagora, Antonio Pesenti, Michela Bombino, Davide Chiumello, Federica Tallarini, Serena Azzari, Antonina Pigna, Ivano Aprile, Marco Adversi, Antonio Corcione, Marianna Esposito, Annunziata Mattei, Vito Marco Ranieri, Rosario Urbino, Ilaria Maria Mastromauro, Antonino Giarratano, Maurizio Raineri Santi, Ambrogio Sansone, Younsuck Koh, Moo Suk Park, Je Hyeong Kim, Kyung Chan Kim, Hye Sook Choi, Yun Seong Kim, Jin Hwa Lee, Myung-Goo Lee, Won-Yeon Lee, Jin Young An, Gee Young Suh, Ki-Suck Jung, Asisclo J Villagómez Ortiz, César Cruz Lozano, Zalatiel Maycotte Luna, José Francisco López Baca, José Elizalde, Guillermo Cueto Robledo, Mario Alonso Treviño Salinas, Ricardo Martinez Zubieta, Claudia Olvera-Guzman, Marco Montes De Oca, Silvio A Ñamendys-Silva, José Salvador Martínez Cano, Jose Angel Baltazar Torres, Gustavo Morales Muñoz, Antonio Villa Delgado, Javier Ladape Martinez, Amine Ali Zeggwagh, Tarek Dendane, Abderrahim Azzouzi, Ahmed Sbihi, Wajdi Maazouzi, Mourad Amor, Charki Haimeur, Michael A Kuiper, Matty Koopmans, Uli Strauch, Dennis Bergmans, Serge Heines, Sylvia den Boer, Bas M Kors, Peter van der Voort, Paul J Dennesen, Bert Beishuizen, Ingrid van den Hul, Erna Alberts, Harry P P M Gelissen, Eduard Bootsma, Auke Reidinga, Kim Heus, Diane Mackle, Paul Young, Rachael Parke, Eileen Gilder, Jodi Brown, Lynette Newby, Catherine Simmonds, Jan Mehrtens, Seton Henderson, Tony Williams, Judi Tai, Chantal Hogan, Mary La Pine, John Durning, Sheree Gare, Troy Browne, Shirley Nelson, Jennifer Goodson, Julio Osorio, Chabu Coronado, Rollin Roldán Mori, Rosa Luz López Martínez, Adam Mikstacki, Barbara Tamowicz, Rui Moreno, Eduardo Almeida, Joana Silvestre, Heloisa Castro, Irene Aragão, Susana Alves Ferreira, Nelson Barros, Filomena Faria, Carlos André Correia Casado, Fausto Fialho Moura, Paulo Marcal, Ricardo Matos, Edward Nicolayenko, Mikhail Kirov, Andrey Yaroshetskiy, Andrei Piontek, Valery Subbotin, Yaseen Arabi, Olivia Dulfo, Chafrina Marie Olay, Edgardo E Tabhan, Nicolas Nin, Alfonso Muñoz, César Aragón, Ana Villagrá, Ainhoa Rosselló, Joan Maria Raurich, María Garitacelaya, Miguel Ángel González-Gallego, Francisco Ortuño, Miguel Fernández-Vivas, David Freire, Francisco Guerrero, Francisco Manzano, Juan Carlos, Alfredo Padrón, Pedro Rosa, Rafael Morales, Liliana Caipe, Maurizio Bottiroli, José María Nicolás, Marta Ugalde, Javier Ruiz, Lucia Capilla, Guillermo Muñiz, Jesús Sánchez-Ruiz, Javier Cebrián, Begoña Balerdi, Elena Parreño, Alvaro van Bommel, César Pérez-Calvo, Irene Dot, Javier Blanco, Raquel Manzanedo, José J Blanco, Daniel Fontaneda, Raúl González, Javier Díaz Domínguez, Alfonso Moreno, Antonio Reyes, Ian Carrasco, Itziar Mintegui, Rosa Sebastián, Javier García-Alonso, Carolina Lorencio, Josep Maria Sirvent, Patricia Jimeno, Miguel León, Pedro Galdos, Nuria Alonso, Julia López-Díaz, María Victoria de la Torre, Jorge Vidal Hernández, Nicolás Zamboschi, Francisco Lucena, Gemma Rialp, Raquel Montoiro, Victoria Goñi, María Ángeles Pena, Antonio Maestre, Marc Fabra, Jacinto Baena, Eva Benveniste, Susana Temprano, Jesús Sánchez, Carmen Campos, Sara Cabañes, María Elena Pérez-Losada, José Claudio Leo, Enrique Piacentini, María Del Carmen de la Torre, Laura Álvarez-Montero, Fernando Sánchez, Antonio Viñuales, Bernabé Álvarez, Javier Castañeda, Ángela Alonso, María Isabel Ruiz, Pedro Jesús Domínguez, Marcos Delgado, Eugenio Palazón, Antonio García-Jiménez, Rosa Álvaro, Clara Laplaza Eva Regidor, Enrique Maraví, José María Quiroga, Amalia Martínez de la Gandara, Cecilia Carbayo, María Luisa Navarrete, Manuel Valledor, Raquel Yano, José María Gutiérrez, Javier González-Robledo, Amparo Ferrandiz, Alberto Belenguer, Lidón Mateu, Laura Sayagues, María José Tolón, Nieves Franco, Elena Gallego, Félix Lacoma, Patricia Albert, Vicente Arraez, Mar Gobernado, Susana Moradillo, Carolina Gímenez-Esparza, Teresa Sánchez de Dios, Carlos Marian Crespo, Cecilia Hermosa, Federico Gordo, Genis Carrasco, María Ángeles Alonso, Alejandro Algora, Raúl de Pablo, Sofía García, Ana Carolina Caballero, José María Montón, Teresa Mut, Eva Manteiga, Alejandro de la Serna, Ana Esther Trujillo, Rafael Blancas, Inmaculada Vallverdú, José Manuel Serrano, Miquel Ferrer, Juan Diego Jiménez, Carlos Gallego, Dolores Vila, Luis Marina, Valentín Parra, Juan Ramón Cortés, Chen Chin-Ming, Ai-Chin Cheng, Fekri Abroug, Besbes Mohamed, Imed Chouchene, Mounir Bouaziz, Stambouli Neji, Islem Ouanes, Ayed Samia, Nahit Cakar, Ismail Kati, Ali Aydım Altunkan, Remzi Iscimen, Zafer Dogan, Bilge Çetin, Tayfun Adanir, Sabriye Guvenc, Unase Büyükkoçak, Antonio Anzueto, Ashley Ellis, Gary Kinasewitz, Allan Walkey, Phil Alkana, Gregory A Schmidt, Susan Gillen, Kathleen Lilli, Jennifer Twombley, Denice Wells, Larry Welder, Alejandro Arroliga, Alfredo Vasquez-Sandoval, Vincent John Scott, Craig Cernosek, Christopher Spradley, Dimple Tejwani, Sindhaghatta Venkatram, Gilda Diaz-Fuentes, Amber Monson, Anthony Saleh, Madhav Gudi, George Liziamma, Mohamed A Saad, Crissie De Spirito, Bryan Beatty, Samir Vermani, Crissie Despirito, Zaza Cohen, Amee Patrawalla, Samir Abdelhadi, Rupesh Vakil, Steven Y Chang, Brian Sherman, Rosanna Del Giudice, John Oropell, Timothy D Girard, Cayce Strength, Joyce Okahashi, Leanne Boehm, Matthew Kirchner, Erwin J Oei, Sebastian Circo, Nelson Medina, Mohammed Al-Jagbeer, V J Cardenas Jr, Smyth Smith, Shelby Sutton, Marcela Canola-Mazo, Tim Houlihan, Yogeet Kaur, Travis Parry, Craig A Piquette, Kerry Canady, Rahul Nanchal, Dana K Soetaert, Maria Del Mar Torres-Perez, Carlos Robles-Arias, William Rodriguez-Cintron, Mark Tidswell, Jennifer Germain, Lori-Ann Kozikowski, Erin Braden, Geneva Tatem, Javier Hurtado, Alberto Deicas, Daniel Weiss, Marta Beron, Román Garrido, Cristina Santos, Mario Cancela, Raúl Lombardi, Pedro Alzugaray, Jorge Gerez, Silvia Mareque, Graciela Franca, Oscar Cluzet, Edgardo Nuñez, Julio Pontet, Sergio Cáceres, Elias Caragna, Alberto Soler, Frank Torres, Gastón Pittini, Gabriel D Empaire, Stevens Salva, Fernando Pérez, Clara Pacheco, Zoraida Parra, Ingrid Von der Osten, Luis Williams, José Salinas, Do Danh Quynh, Pham Thi Van Anh, Nguyen Huu Hoang, Nghuyen Ba Tuan, RS: NUTRIM - R2 - Liver and digestive health, MUMC+: MA Arts Assistenten IC (9), Intensive Care, MUMC+: MA Medische Staf IC (9), Tejerina E.E., Pelosi P., Robba C., Penuelas O., Muriel A., Barrios D., Frutos-Vivar F., Raymondos K., Du B., Thille A.W., Rios F., Gonzalez M., Del-Sorbo L., Marin M.D.C., Valle Pinheiro B., Soares M.A., Nin N., Maggiore S.M., Bersten A., Amin P., Cakar N., Young Suh G., Abroug F., Jibaja M., Matamis D., Ali Zeggwagh A., Sutherasan Y., Anzueto A., Esteban A, and Fernando Ríos, Damian Violi, Marisol Rodríguez-Goñi, Roger Lamoglie, Fernando Villarejo, Norberto Tiribelli, Santiago Ilutovich, Matías Brizuela, Mariana Monllau, Fernando Saldarini, Silvina Borello, Alberto Marino, Norberto Tiribelli, Mauricio Vinzio, Karina Bonasegla, Julián Hernández, María Belén Yapur, María Eugenia González, Sebastián E Mare, Judith Sagardía, Marco Bezzi, Cecilia Pereyra, Julian Strati, Daniel Vargas, Claudia Diaz, Pablo Gómez, Marcelo Palavecino, Graciela Elizabeth, Aguilera García, M Eugenia, Luis Pablo Cardonnet, Lisandro Betttini, Hernán Nuñez, Lucas Vallejo, Fernando Fernández, Jorge Arroyo, Daniel Duarte, Gerardo Filippa, Cayetano Galetti, Hernan Nunia, Fernando Lambert, Elisa Estenssoro, Marina Busico, Fernando Villarejo, Javier Horacio Álvarez, Alejandro Raimondi, Gustavo Badariotti, Martín Lugaro, Fernando Lipovestky, Alan Javier Zazu, Hugo Capponcelli, Patricia Vogl, Cristina Orlandi, Alejandro Gómez, Gustavo Jannello, Alejandro Risso, Leticia Rapetti, Guillermo Chiappero, Juan Domingo Fernández, Rodrigo E Gómez-Paz, Marcos Juan Zec, Pascual Valdez, Jorgelina Guyon, Ariel Chena, Sergio Lasdica, Martin Deheza, Schimdt Alejandra, Francisco Criado, Norma Beatriz Márquez, Pablo Desmery, José Luis Scapellato, Gonzalo Javier Ríos, Cristian Casabella, Jasmin Board, Andrew Davies, Andrew Bersten, Elisha Matheson, Amy Waters, John Santamaria, Jennifer Holmes, Cartan Costello, Manoj K Saxena, John Myburgh, Ellen Kinkel, Forbes McGain, Claire Cattigan, Allison Bone, Ian Seppelt, Leonie Weisbrodt, Cheryl Cuzner, Christopher MacIsaac, Deborah Barge, Tania Caf, Cameron Knott, Graeme Duke, Imogen Mitchell, Helen Rodgers, Rachel Whyte, Elisha Fulton, Jasmin Board, Andrew Davies, Alistair Nichol, Hergen Buscher, Priya Nair, Claire Reynolds, Simon J G Hockley, Ian Moore, Katherine Davidson, David Milliss, Raju Pusapati, Helen Wong, Jason Fletcher, Julie Smith, Paul Goldrick, Dianne Stephens, Jane Thomas, Anders Aneman, Sutrisno Gunawan, Tom Cowlam, George Lukas, Rick McAllister, Minka Springham, Joanne Sutton, Jeff Presneill, Tony Sutherland, Dianne Hill, Howard Connor, Jenny Dennett, Tim Coles, Freddy Sandy, Sando Chavarria, Marcelo Choque, Ronald Pairumani, Juan Guerra, Marco Antônio Soares Reis, José Carlos Versiani, Eduardo Fonseca Sad, Maria Aparecida Braga, Dinalva Aparecida Gomes, Fernando Antônio Botoni, Maurício Meireles Góes, Frederico Costa Val Barros, Rogério de Castro Pereira, Hugo Urbano, Valéria de Carvalho Magela, Aline Camile Yehia, Bruno Bonaccorsi Fernandino, Marco Antônio Ribeiro Leão, Rovílson Lara, Rovílson Lara, Rubens Altair Amaral de Pádua, Janine Dias Alves, Aloísio Marques do Nascimento, Bruno do Valle Pinheiro, Carlos Alberto Studart Gomes, Marcelo Alcântara Holanda, Frederico Rodrigues Anselmo, Niall Ferguson, Neill Adhikari, Robert Fowler, Cheromi Sittambalam, Mehar-Un-Nisa Raja, Nicole Marinoff, Lauralyn McIntryre, Shawna Reddie, Laura Jones, Irene Watpool, Jeffrey Singh, Madison Dennis, Andrea Matte, Marc Lipkus, Ryan Albert, Andrew Steel, Emily Stern, Michael Miletin, Antonio Raso, Robyn Klages, Jan Friedrich, Orla Smith, Laura Wilson, Deborah Cook, Mark Bailey, Sangeeta Mehta, Stephen Lapinsky, Hannah Mathers, Cheryl Ethier, Stephanie Lubchansky, Samer Haj-Bakri, Dietrich Henzler, Lisa Julien, Luis Soto-Román, Juan Carlos Maurelia, César Antonio Maquilon, Luis Soto-Germani, Bin Du, Yan Kang, Bo Wang, Fachun Zhou, Fang Xu, Haibo Qiu, Yi Yang, Qingyuan Zhan, Bing Sun, Zhenjie Hu, Bin Yu, Xi Zhu, Yu Bai, Gang Li, Yi Li, Geng Zhang, Jianbiao Meng, Xiaobo Huang, Hong Pu, Bin Du, Daxing Yu, Chuanyun Qian, Wei Zhang, Yongjie Yin, Debiao Song, Yunxuan Yue, Zhengxuan Lv, Chengmin Yu, Qunmei Yao, Xue Wang, Yuan Xu, Wei He, Mian Chen, Zhihua Hu, Dongpo Jiang, Jian Huang, Wei Yu, Juanxian Gu, Yangong Chao, Zhixiang Li, Zhicheng Zhang, Wanxia Li, Zhenyang He, Jianguo Li, Chang Liu, Tiehe Qin, Shouhong Wang, Feng Li, Jun Jin, Jianhong Fu, Hongyang Xu, Hongyuan Lin, Jianying Guo, Yalin Liu, Jinghua Wang, Maoqin Li, Jiaqiong Li, Lei Chen, Qing Song, Liang Pan, Xianyao Wan, Jiuzhi Zhang, Weihai Yao, Yuhong Guo, Pang Wing Yan, Kelly Choy, Kwan Ming Chit, Patricia Leung, Chau Chin Man, Marco González, Ricardo Buitrago, Marcela Granados, Guillermo Ortiz, Cesar Enciso, Mario Gómez, Bladimir Alejandro Gil, Juan Pablo Sedano, Luis Fernando Castro Castro, Carlo Alberto Acosta, Marco Gonzalez, Francisco Molina, Camilo Pizarro, Mario Villabon, Carmelo Dueñas, Carlos Andrés Díaz, Nelson Fonseca, Rubén Camargo, Juan David Uribe, Hans-Henrik Bülow, Simona Beniczky, Jens Brushoj, Mikkel Præst, Birgitte Viebaek, Sine Wichman, Anette Mortensen, Susanne Andi Iversen, Bo Broberg, Edgard Luna, Manuel Jibaja, Leonardo Pazmiño, Katty Trelles, Fabricio Picoita, Gustavo Paredes, Vanesa Ramírez, Guillermo Falconí, Cristian Cevallos, Boris Villamagua, Marco Escobar, Freddy Sánchez, Miguel Llano, Miguel Lazcano, Ramiro Puetate, José Miguel Guerrero, Mijail Játiva, Myriam Montalvo, Franklin Villegas, Luis González Zambrano, Ronnie Mantilla, Gina Quinde, Andrea Gimenez, Luis Gonzalez Mosquera, Henry Caballero, María Fernanda García, Marcelo Ochoa, Soraya Puertas, Jackeline Coello, Mario Acosta, Medhat Soliman, Arnaud W Thille, Achille Kouatchet, Alain Mercat, Laurent Brochard, François Collet, Guillaume Marcotte, Pascal Beuret, Jean-Christophe M Richard, Gaëtan Bedunaeu, Pierre-Gildas Guitard, Fabien Soulis, Frédéric Bellec, Philippe Berger, Dorothée Carpentier, Benoit Veber, Salem Ould Zein, Géraldine Dessertaine, C Canevet, Fabien Grelon, Konstantinos Raymondos, Rolf Dembinski, Rolf Rossaint, Steffen Weber-Carstens, Christian Putensen, Maximillian Ragaller, Michael Quintel, Winfried Schubert, Thomas Bein, Heinrich Paulus, Walter Brandt, Lutz Pfeiffer, Silke Frenzel, Thoralf Kerner, P Kruska, Leila Eckholt, Joachim Hartung, Harald Fritz, Monika Holler, Johannes Busch, Andreas Viehöfer, Jens Buettner, Jörn Schlechtweg, Achim Lunkeit, Roland Schneider, Maria Wussow, Nils Marquardt, Christian Frenkel, Falk Hildebrandt, Tumbass Volker, Thomas Lipp, Cezar Mihailescu, Thomas Moellhoff, Thomas Steinke, Oliver Franke, Marcus Ruecker, Markus Schappacher, Steffen Appel, Heinz Kerger, Andreas Schwartz, Jan Dittmann, Jörg Haberkorn, Wolfgang Baier, Walter Seyde, Dimitros Matamis, Eleni Antoniadou, Pertsas Evangelos, Maria Giannakou, Zoltan Szentkereszty, Zsolt Molnar, Pravin Amin, Farhad N Kapadia, Nagarajan Ramakrishnan, Deepak Govil, Anitha Shenoy, Umesh G, Samir Sahu, Sheila Nainan Myatra, Subhash Kumar Todi, Sanjay Dhanuka, Mayur Patel, P Samaddar, Dhruva Chaudhry, Vivek Joshi, Srinivas Samavedam, Ankur Devendra Bhavsar, Prachee Sathe, Sujoy Mukherjee, Salvatore Maurizio Maggiore, Francesco Idone, Federica Antonicelli, Paolo Navalesi, Rosanna Vaschetto, Arianna Boggero, Rosalba Tufano, Michele Iannuzzi, Edoardo De Robertis, Romano Tetamo, Andrea Neville Cracchiolo, Antonio Braschi, Francesco Mojoli, Ilaria Curro', Mirko Belliato, Chiara Verga, Marta Ferrari, Erika Mannelli, Valerio Mangani, Giorgio Tulli, Francesca Frigieri, Armando Pedulla', Monica Rocco, Giorgia Citterio, Di Russo, Gaetano Perchiazzi, Loredana Pitagora, Antonio Pesenti, Michela Bombino, Davide Chiumello, Federica Tallarini, Serena Azzari, Antonina Pigna, Ivano Aprile, Marco Adversi, Antonio Corcione, Marianna Esposito, Annunziata Mattei, Vito Marco Ranieri, Rosario Urbino, Ilaria Maria Mastromauro, Antonino Giarratano, Maurizio Raineri Santi, Ambrogio Sansone, Younsuck Koh, Moo Suk Park, Je Hyeong Kim, Kyung Chan Kim, Hye Sook Choi, Yun Seong Kim, Jin Hwa Lee, Myung-Goo Lee, Won-Yeon Lee, Jin Young An, Gee Young Suh, Ki-Suck Jung, Asisclo J Villagómez Ortiz, César Cruz Lozano, Zalatiel Maycotte Luna, José Francisco López Baca, José Elizalde, Guillermo Cueto Robledo, Mario Alonso Treviño Salinas, Ricardo Martinez Zubieta, Claudia Olvera-Guzman, Marco Montes De Oca, Silvio A Ñamendys-Silva, José Salvador Martínez Cano, Jose Angel Baltazar Torres, Gustavo Morales Muñoz, Antonio Villa Delgado, Javier Ladape Martinez, Amine Ali Zeggwagh, Tarek Dendane, Abderrahim Azzouzi, Ahmed Sbihi, Wajdi Maazouzi, Mourad Amor, Charki Haimeur, Michael A Kuiper, Matty Koopmans, Uli Strauch, Dennis Bergmans, Serge Heines, Sylvia den Boer, Bas M Kors, Peter van der Voort, Paul J Dennesen, Bert Beishuizen, Ingrid van den Hul, Erna Alberts, Harry P P M Gelissen, Eduard Bootsma, Auke Reidinga, Jasmin Board, Andrew Davies, Kim Heus, Diane Mackle, Paul Young, Rachael Parke, Eileen Gilder, Jodi Brown, Lynette Newby, Catherine Simmonds, Jan Mehrtens, Seton Henderson, Tony Williams, Judi Tai, Chantal Hogan, Mary La Pine, John Durning, Sheree Gare, Troy Browne, Shirley Nelson, Jennifer Goodson, Julio Osorio, Chabu Coronado, Rollin Roldán Mori, Rosa Luz López Martínez, Adam Mikstacki, Barbara Tamowicz, Rui Moreno, Eduardo Almeida, Joana Silvestre, Heloisa Castro, Irene Aragão, Susana Alves Ferreira, Nelson Barros, Filomena Faria, Carlos André Correia Casado, Fausto Fialho Moura, Paulo Marcal, Ricardo Matos, Edward Nicolayenko, Mikhail Kirov, Andrey Yaroshetskiy, Andrei Piontek, Valery Subbotin, Yaseen Arabi, Olivia Dulfo, Chafrina Marie Olay, Edgardo E Tabhan, Nicolas Nin, Alfonso Muñoz, César Aragón, Ana Villagrá, Ainhoa Rosselló, Joan Maria Raurich, María Garitacelaya, Miguel Ángel González-Gallego, Francisco Ortuño, Miguel Fernández-Vivas, David Freire, Francisco Guerrero, Francisco Manzano, Juan Carlos, Alfredo Padrón, Pedro Rosa, Rafael Morales, Liliana Caipe, Maurizio Bottiroli, José María Nicolás, Marta Ugalde, Javier Ruiz, Lucia Capilla, Guillermo Muñiz, Jesús Sánchez-Ruiz, Javier Cebrián, Begoña Balerdi, Elena Parreño, Alvaro van Bommel, César Pérez-Calvo, Irene Dot, Javier Blanco, Raquel Manzanedo, José J Blanco, Daniel Fontaneda, Raúl González, Javier Díaz Domínguez, Alfonso Moreno, Antonio Reyes, Ian Carrasco, Itziar Mintegui, Rosa Sebastián, Javier García-Alonso, Carolina Lorencio, Josep Maria Sirvent, Patricia Jimeno, Miguel León, Pedro Galdos, Nuria Alonso, Julia López-Díaz, María Victoria de la Torre, Jorge Vidal Hernández, Nicolás Zamboschi, Francisco Lucena, Gemma Rialp, Raquel Montoiro, Victoria Goñi, María Ángeles Pena, Antonio Maestre, Marc Fabra, Jacinto Baena, Eva Benveniste, Susana Temprano, Jesús Sánchez, Carmen Campos, Sara Cabañes, María Elena Pérez-Losada, José Claudio Leo, Enrique Piacentini, María Del Carmen de la Torre, Laura Álvarez-Montero, Fernando Sánchez, Antonio Viñuales, Bernabé Álvarez, Javier Castañeda, Ángela Alonso, María Isabel Ruiz, Pedro Jesús Domínguez, Marcos Delgado, Eugenio Palazón, Antonio García-Jiménez, Rosa Álvaro, Clara Laplaza Eva Regidor, Enrique Maraví, José María Quiroga, Amalia Martínez de la Gandara, Cecilia Carbayo, María Luisa Navarrete, Manuel Valledor, Raquel Yano, José María Gutiérrez, Javier González-Robledo, Amparo Ferrandiz, Alberto Belenguer, Lidón Mateu, Laura Sayagues, María José Tolón, Nieves Franco, Elena Gallego, Félix Lacoma, Patricia Albert, Vicente Arraez, Mar Gobernado, Susana Moradillo, Carolina Gímenez-Esparza, Teresa Sánchez de Dios, Carlos Marian Crespo, Cecilia Hermosa, Federico Gordo, Genis Carrasco, María Ángeles Alonso, Alejandro Algora, Raúl de Pablo, Sofía García, Ana Carolina Caballero, José María Montón, Teresa Mut, Eva Manteiga, Alejandro de la Serna, Ana Esther Trujillo, Rafael Blancas, Inmaculada Vallverdú, José Manuel Serrano, Miquel Ferrer, Juan Diego Jiménez, Carlos Gallego, Dolores Vila, Luis Marina, Valentín Parra, Juan Ramón Cortés, Chen Chin-Ming, Ai-Chin Cheng, Fekri Abroug, Besbes Mohamed, Imed Chouchene, Mounir Bouaziz, Stambouli Neji, Islem Ouanes, Ayed Samia, Nahit Cakar, Ismail Kati, Ali Aydım Altunkan, Remzi Iscimen, Zafer Dogan, Bilge Çetin, Tayfun Adanir, Sabriye Guvenc, Unase Büyükkoçak, Antonio Anzueto, Ashley Ellis, Gary Kinasewitz, Allan Walkey, Phil Alkana, Gregory A Schmidt, Susan Gillen, Kathleen Lilli, Jennifer Twombley, Denice Wells, Larry Welder, Alejandro Arroliga, Alfredo Vasquez-Sandoval, Vincent John Scott, Craig Cernosek, Christopher Spradley, Dimple Tejwani, Sindhaghatta Venkatram, Gilda Diaz-Fuentes, Amber Monson, Anthony Saleh, Madhav Gudi, George Liziamma, Mohamed A Saad, Crissie De Spirito, Bryan Beatty, Samir Vermani, Crissie Despirito, Zaza Cohen, Amee Patrawalla, Samir Abdelhadi, Rupesh Vakil, Steven Y Chang, Brian Sherman, Rosanna Del Giudice, John Oropell, Timothy D Girard, Cayce Strength, Joyce Okahashi, Leanne Boehm, Matthew Kirchner, Ashley Ellis, Gary Kinasewitz, Erwin J Oei, Sebastian Circo, Nelson Medina, Mohammed Al-Jagbeer, V J Cardenas Jr, Smyth Smith, Shelby Sutton, Marcela Canola-Mazo, Tim Houlihan, Yogeet Kaur, Travis Parry, Craig A Piquette, Kerry Canady, Rahul Nanchal, Dana K Soetaert, Maria Del Mar Torres-Perez, Carlos Robles-Arias, William Rodriguez-Cintron, Mark Tidswell, Jennifer Germain, Lori-Ann Kozikowski, Erin Braden, Geneva Tatem, Javier Hurtado, Alberto Deicas, Daniel Weiss, Marta Beron, Román Garrido, Cristina Santos, Mario Cancela, Raúl Lombardi, Pedro Alzugaray, Jorge Gerez, Silvia Mareque, Graciela Franca, Oscar Cluzet, Edgardo Nuñez, Julio Pontet, Sergio Cáceres, Elias Caragna, Alberto Soler, Frank Torres, Gastón Pittini, Gabriel D Empaire, Stevens Salva, Fernando Pérez, Clara Pacheco, Zoraida Parra, Ingrid Von der Osten, Luis Williams, José Salinas, Do Danh Quynh, Pham Thi Van Anh, Nguyen Huu Hoang, Nghuyen Ba Tuan
Subjects: Male, medicine.medical_treatment, pulmonary complications, RESPIRATORY-DISTRESS-SYNDROME, Critical Care and Intensive Care Medicine, CASE-FATALITY, 0302 clinical medicine, Risk Factors, Brain Injuries, Traumatic, Multicenter Studies as Topic, Hospital Mortality, Prospective Studies, Simplified Acute Physiology Score, Stroke, POPULATION, Age Factors, ANEURYSMAL SUBARACHNOID HEMORRHAGE, Middle Aged, Hemorrhagic Stroke, Intensive Care Units, Observational Studies as Topic, Anesthesia, Breathing, Female, medicine.symptom, Ventilator Weaning, Cohort study, Adult, TRAUMATIC BRAIN-INJURY, Pressure support ventilation, mechanical ventilation, prognosis factors, ACUTE LUNG INJURY, 03 medical and health sciences, medicine, Humans, Aged, Ischemic Stroke, Mechanical ventilation, Noninvasive Ventilation, business.industry, MORTALITY, neurologic patients, Organ dysfunction, 030208 emergency & critical care medicine, Length of Stay, medicine.disease, TRENDS, Respiration, Artificial, 030228 respiratory system, Etiology, NEUROCRITICAL CARE, Nervous System Diseases, Tracheotomy, business
Abstract: OBJECTIVES: To describe the changes in ventilator management over time in patients with neurologic disease at ICU admission and to estimate factors associated with 28-day hospital mortality. DESIGN: Secondary analysis of three prospective, observational, multicenter studies. SETTING: Cohort studies conducted in 2004, 2010, and 2016. PATIENTS: Adult patients who received mechanical ventilation for more than 12 hours. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Among the 20,929 patients enrolled, we included 4,152 (20%) mechanically ventilated patients due to different neurologic diseases. Hemorrhagic stroke and brain trauma were the most common pathologies associated with the need for mechanical ventilation. Although volume-cycled ventilation remained the preferred ventilation mode, there was a significant (p < 0.001) increment in the use of pressure support ventilation. The proportion of patients receiving a protective lung ventilation strategy was increased over time: 47% in 2004, 63% in 2010, and 65% in 2016 (p < 0.001), as well as the duration of protective ventilation strategies: 406 days per 1,000 mechanical ventilation days in 2004, 523 days per 1,000 mechanical ventilation days in 2010, and 585 days per 1,000 mechanical ventilation days in 2016 (p < 0.001). There were no differences in the length of stay in the ICU, mortality in the ICU, and mortality in hospital from 2004 to 2016. Independent risk factors for 28-day mortality were age greater than 75 years, Simplified Acute Physiology Score II greater than 50, the occurrence of organ dysfunction within first 48 hours after brain injury, and specific neurologic diseases such as hemorrhagic stroke, ischemic stroke, and brain trauma. CONCLUSIONS: More lung-protective ventilatory strategies have been implemented over years in neurologic patients with no effect on pulmonary complications or on survival. We found several prognostic factors on mortality such as advanced age, the severity of the disease, organ dysfunctions, and the etiology of neurologic disease.
Published: 2021
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9. Deep learning models of cognitive processes constrained by human brain connectomes

Author: Nicolas Farrugia, Yu Zhang, and Pierre Bellec
Subjects: Computer science, Brain activity and meditation, Health Informatics, Machine learning, computer.software_genre, Cognition, Deep Learning, medicine, Connectome, Humans, Radiology, Nuclear Medicine and imaging, Human Connectome Project, Radiological and Ultrasound Technology, business.industry, Deep learning, Brain, Human brain, Isolated brain, Computer Graphics and Computer-Aided Design, Magnetic Resonance Imaging, medicine.anatomical_structure, Graph (abstract data type), Computer Vision and Pattern Recognition, Artificial intelligence, Neural Networks, Computer, business, computer
Abstract: Decoding cognitive processes from recordings of brain activity has been an active topic in neuroscience research for decades. Traditional decoding studies focused on pattern classification in specific regions of interest and averaging brain activity over many trials. Recently, brain decoding with graph neural networks has been shown to scale at fine temporal resolution and on the full brain, achieving state-of-the-art performance on the human connectome project benchmark. The reason behind this success is likely the strong inductive connectome prior that enables the integration of distributed patterns of brain activity. Yet, the nature of such inductive bias is still poorly understood. In this work, we investigate the impact of the inclusion of multiple path lengths (through high-order graph convolution), the homogeneity of brain parcels (graph nodes), and the type of interactions (graph edges). We evaluate the decoding models on a large population of 1200 participants, under 21 different experimental conditions, acquired from the Human Connectome Project database. Our findings reveal that the optimal choice for large-scale cognitive decoding is to propagate neural dynamics within empirical functional connectomes and integrate brain dynamics using high-order graph convolutions. In this setting, the model exhibits high decoding accuracy and robustness against adversarial attacks on the graph architecture, including randomization in functional connectomes and lesions in targeted brain regions and networks. The trained model relies on biologically meaningful features for the prediction of cognitive states and generates task-specific graph representations resembling task-evoked activation maps. These results demonstrate that a full-brain integrative model is critical for the large-scale brain decoding. Our study establishes principles of how to effectively leverage human connectome constraints in deep graph neural networks, providing new avenues to study the neural substrates of human cognition at scale.
Published: 2021

10. Cardiac stereotactic ablative radiotherapy for refractory ventricular arrhythmias: A radical alternative? A narrative review of rationale and cardiological aspects

Author: Karim Benali, Antoine Da Costa, Louis Rigal, Renaud de Crevoisier, Vincent Galand, Raphaël P. Martins, Nefissa Hammache, Antoine Simon, N. Jaksic, J. Bellec, Pierre Caille, CHU Saint-Etienne, Centre Eugène Marquis (CRLCC), Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Imagerie Adaptative Diagnostique et Interventionnelle (IADI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne), CRLCC Eugène Marquis (CRLCC), CHU Pontchaillou [Rennes], Jonchère, Laurent, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E)
Subjects: medicine.medical_specialty, cardiac radioablation, medicine.medical_treatment, Catheter ablation, 030204 cardiovascular system & hematology, Radiosurgery, 03 medical and health sciences, cardiac SBRT, 0302 clinical medicine, Refractory, Ablative case, catheter ablation, medicine, Humans, Radiology, Nuclear Medicine and imaging, 030212 general & internal medicine, cardiovascular diseases, Cardiac disorders, Intensive care medicine, [SDV.IB] Life Sciences [q-bio]/Bioengineering, Radiological and Ultrasound Technology, business.industry, ventricular arrhythmias, Arrhythmias, Cardiac, Heart, refractory ventricular tachycardia, 3. Good health, Radiation therapy, cardiovascular system, Narrative review, [SDV.IB]Life Sciences [q-bio]/Bioengineering, business, cardiac sterteotactic radiotherapy
Abstract: International audience; Ventricular arrhythmias are serious life-threatening cardiac disorders. Despite many technological improvements, a non-negligible number of patients present refractory ventricular tachycardias, resistant to a catheter ablation procedure, placing these patients in a therapeutic impasse. Recently, a cardiac stereotactic radioablative technique has been developed to treat patients with refractory ventricular arrhythmias, as a bail out strategy. This new therapeutic option historically brings together two fields of expertise unknown to each other, pointing out the necessity of an optimal partnership between cardiologists and radiation oncologists. As described in this narrative review, the understanding of cardiological aspects of the technique for radiation oncologists and treatment technical aspects comprehension for cardiologists represent a major challenge for the application and the future development of this promising treatment.
Published: 2021
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11. Fruit and vegetables

Author: Bruno Telemans, Jean-Michel Sourisseau, Fenton Beed, Emile Faye, Eric Malézieux, Fabrice Le Bellec, Jean-Philippe Deguine, Peninna Deberdt, Magalie Lesueur-Jannoyer, Makiko Taguchi, and Rémi Kahane
Subjects: Consumption (economics), Value (ethics), Sustainable development, Supply chain management, Scale (social sciences), Sustainable agriculture, Factors of production, Production (economics), Business, Marketing
Abstract: This book will convince the reader to care about fruit and vegetables and to see that the small-scale production of these crops is fundamental to achieving sustainable development goals. In five chapters, the reader will learn about the challenges and rewards for producers, sellers, and consumers. Chapter 1: a working definition for fruit and vegetables, making the case for supporting small-scale farmers and value chains. Chapter 2: options for farm management to ensure that production is sustainable including genetic resources, seed systems, management of water, soil, nutrients, and control of pests and diseases. Chapter 3: options to integrate small-scale commercial fruit and vegetable farmers into socially inclusive value chains, including innovative post-harvest handling services, market linkages, and reducing food loss and waste. Chapter 4: options for practitioners and policymakers at different governmental, institutional and social levels to promote the sustainable production and consumption of safe, nutritious, and affordable fruit and vegetables. Chapter 5: key interventions and innovations to facilitate the sustainable production of fruit and vegetables in low- and middle-income countries across the world. This publication takes readers on a journey introducing them to a diverse array of fruit and vegetables through colorfully illustrated studies from around the world. It justifies the importance of these crops and it encourages readers to take an active role both in promoting fruit and vegetable production and in encouraging more people to eat them.
Published: 2021
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12. The Consortium for the early identification of Alzheimer's disease–Quebec (CIMA‐Q)

Author: Sylvie Belleville, Andréa C. LeBlanc, Marie‐Jeanne Kergoat, Frédéric Calon, Pierrette Gaudreau, Sébastien S. Hébert, Carol Hudon, Nicole Leclerc, Naguib Mechawar, Simon Duchesne, Serge Gauthier, Consortium for the Early Identification of Alzheimer's disease‐Quebec (CIMA‐Q), Pierre Bellec, Christian Bocti, Howard Chertkow, Louis Collins, Stephen Cunnane, Carol Hudon Marie‐Jeanne‐Kergoat, Natalie Philips, Jean‐Paul Soucy, Thien Thanh Dang Vu, Louis Verret, and Juan Manuel Villalpando
Subjects: Oncology, medicine.medical_specialty, Cryopreserved PBMNC, Disease, lcsh:Geriatrics, Peripheral blood mononuclear cell, lcsh:RC346-429, 03 medical and health sciences, 0302 clinical medicine, CIMA-Q, Neuroimaging, Internal medicine, Medicine, Dementia, Cognitive decline, CIMA‐Q, lcsh:Neurology. Diseases of the nervous system, Diagnostic Assessment & Prognosis, 030304 developmental biology, 0303 health sciences, medicine.diagnostic_test, Consortium for the early identification of Alzheimer's disease-Quebec, business.industry, Lumbar puncture, Neuropsychology, Mild cognitive impairment, Biomarker, Alzheimer's disease, Early diagnosis, medicine.disease, 3. Good health, lcsh:RC952-954.6, Psychiatry and Mental health, Subjective cognitive decline, Biomarker (medicine), Neurology (clinical), Consortium for the early identification of Alzheimer's disease‐Quebec, business, 030217 neurology & neurosurgery, Clinical cohort
Abstract: Introduction The Consortium for the early identification of Alzheimer's disease–Quebec (CIMA-Q) created a research infrastructure to recruit, characterize, and track disease progression in individuals at risk of dementia. Methods CIMA-Q established standardized clinical, neuropsychological, neuroimaging, blood (plasma, serum, RNA, genomic DNA), cryopreserved peripheral blood mononuclear cells, and cerebrospinal fluid collection protocols. These data and biological materials are available to the research community. Results In phase 1, 115 persons with subjective cognitive decline, 88 with mild cognitive impairment, 31 with early probable Alzheimer's disease, and 56 older adults with no worries nor impairments received detailed clinical and cognitive evaluations as well as blood and peripheral blood mononuclear cells collections. Among them, 142 underwent magnetic resonance imaging, 29 a 18fluorodeoxyglucose positron emission tomography, and 60 a lumbar puncture. Discussion CIMA-Q provides procedures and resources to identify early biomarkers and novel therapeutic targets, and holds promise for detecting cognitive decline in Alzheimer's disease., Highlights • Well-ascertained cohort of 290 community-dwelling elderly individuals in Quebec. • Large number of individuals with subjective cognitive decline studied longitudinally. • Clinical, neuropsychology, neuroimaging, and biomaterials available for Alzheimer's disease studies.
Published: 2019
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13. Integrons, a predictive biomarker for antibiotic resistance in acute sepsis: the IRIS study

Author: Emmanuelle Mercier, Elie Guichard, Delphine Chainier, Olivier Barraud, Marie-Cécile Ploy, Bruno Giraudeau, Armelle Mathonnet, Loïc Chimot, Arnaud Desachy, Bruno François, Frédéric Bellec, Jean-Pierre Frat, D. Postil, and Jean-Claude Lacherade
Subjects: Microbiology (medical), Adult, medicine.medical_specialty, medicine.drug_class, Urinary system, Antibiotics, Cephalosporin, Urine, Integrons, Sepsis, Antibiotic resistance, Internal medicine, medicine, Humans, Pharmacology (medical), Predictive biomarker, Pharmacology, biology, business.industry, Drug Resistance, Microbial, medicine.disease, biology.organism_classification, Anti-Bacterial Agents, Infectious Diseases, Cross-Sectional Studies, business, Bacteria, Biomarkers
Abstract: Background Considering the increase in MDR Gram-negative bacteria (GNB), the choice of empirical antibiotic therapy is challenging. In parallel, use of broad-spectrum antibiotics should be avoided to decrease antibiotic selection pressure. Accordingly, clinicians need rapid diagnostic tools to narrow antibiotic therapy. Class 1–3 integrons, identified by intI1–3 genes, are genetic elements that play a major role in antibiotic resistance in GNB. Objectives The objective of the IRIS study was to evaluate the negative and positive predictive values (NPVs and PPVs, respectively) of intI1–3 as markers of antibiotic resistance. Methods The IRIS study was an observational cross-sectional multicentre study that enrolled adult subjects with suspected urinary tract or intra-abdominal infections. intI1–3 were detected directly from routinely collected biological samples (blood, urine or intra-abdominal fluid) using real-time PCR. A patient was considered ‘MDR positive’ if at least one GNB, expressing acquired resistance to at least two antibiotic families among β-lactams, aminoglycosides, fluoroquinolones and/or co-trimoxazole, was isolated from at least one biological sample. Results Over a 2 year period, 513 subjects were enrolled and 409 had GNB documentation, mostly Enterobacterales. intI1 and/or intI2 were detected in 31.8% of patients and 24.4% of patients were considered ‘MDR positive’. The NPV of intI1 and/or intI2 as a marker of acquired antibiotic resistances was estimated at 92.8% (89.1%–95.5%). The NPVs for first-line antibiotics were all above 92%, notably >96% for resistance to third-generation cephalosporins. Conclusions The IRIS study strongly suggests that the absence of intI1 and intI2 in biological samples from patients with GNB-related infections is predictive of the absence of acquired resistances.
Published: 2021

14. 100-W-level single-mode ytterbium-free erbium fiber laser

Author: Catherine Veilleux, Samantha Pelletier-Ouellet, Younes Messaddeq, Maxime Lemieux-Tanguay, Louis-Charles Michaud, Pascal Paradis, Matthieu Bellec, Steeve Morency, Olivier Gilbert-Paquet, Nicolas Grégoire, Martin Bernier, Guillaume Bilodeau, Marie-Anne Lebel-Cormier, Centre d'Optique, Photonique et Laser, Université Laval [Québec] (ULaval), Institut de Physique de Nice (INPHYNI), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Centre d'Etudes Lasers Intenses et Applications (CELIA), Université de Bordeaux (UB)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), and Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Bordeaux (UB)
Subjects: Ytterbium, [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], Materials science, business.industry, Slope efficiency, Single-mode optical fiber, chemistry.chemical_element, 02 engineering and technology, 021001 nanoscience & nanotechnology, Laser, 01 natural sciences, Atomic and Molecular Physics, and Optics, law.invention, Numerical aperture, 010309 optics, Erbium, Optics, chemistry, law, Fiber laser, 0103 physical sciences, Fiber, 0210 nano-technology, business, ComputingMilieux_MISCELLANEOUS
Abstract: We report on an ytterbium-free, erbium-doped single-mode all-fiber laser reaching a record output power of 107 W at 1598 nm, with a slope efficiency of 38.6% according to the absorbed pump power at 981 nm. The erbium-doped gain fiber, co-doped with cerium, aluminum, and phosphorus, was fabricated in-house with adjusted doping concentrations to reduce erbium ions clustering, thereby increasing efficiency while keeping the numerical aperture low to ensure a single-mode laser operation. The addition of cerium co-dopant in the core glass of an erbium system is used for the first time, to the best of our knowledge, in order to adjust the fiber’s numerical aperture without increasing the erbium concentration. Numerical modeling, validated by the experimental results, demonstrates that adding aluminum and phosphorus at high concentration mitigates erbium ions clustering, with an estimated erbium paired ions of only 5.0% in the reported gain fiber.
Published: 2021
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15. Functional annotation of human cognitive states using deep graph convolution

Author: Yu Zhang, Bertrand Thirion, Loïc Tetrel, Pierre Bellec, Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), Department of Psychology , Université de Montréal Centre de recherche de l’Institut universitaire de gériatrie de Montréal, Centre de recherche de l'Institut universitaire de gériatrie de Montreal (CRIUGM), Université de Montréal (UdeM), Modelling brain structure, function and variability based on high-field MRI data (PARIETAL), Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Inria Saclay - Ile de France, and Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Subjects: Elementary cognitive task, Computer science, Brain activity and meditation, Cognitive Neuroscience, Graph convolutional network, Neurosciences. Biological psychiatry. Neuropsychiatry, Convolutional neural network, 050105 experimental psychology, 03 medical and health sciences, Cognition, 0302 clinical medicine, Connectome, medicine, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Humans, 0501 psychology and cognitive sciences, Set (psychology), Human Connectome Project, business.industry, Deep learning, fMRI, 05 social sciences, Brain decoding, Brain, Pattern recognition, Human brain, Magnetic Resonance Imaging, medicine.anatomical_structure, Cognitive states, Neurology, Graph (abstract data type), Artificial intelligence, Nerve Net, business, 030217 neurology & neurosurgery, Brain dynamics, RC321-571, MRI
Abstract: A key goal in neuroscience is to understand brain mechanisms of cognitive functions. An emerging approach is “brain decoding”, which consists of inferring a set of experimental conditions performed by a participant, using pattern classification of brain activity. Few works so far have attempted to train a brain decoding model that would generalize across many different cognitive tasks drawn from multiple cognitive domains. To tackle this problem, we proposed a domain-general brain decoder that automatically learns the spatiotemporal dynamics of brain response within a short time window using a deep learning approach. By leveraging our prior knowledge on network organization of human brain cognition, we constructed deep graph convolutional neural networks to annotate cognitive states by first mapping the task-evoked fMRI response onto a brain graph, propagating brain dynamics among interconnected brain regions and functional networks, and generating state-specific representations of recorded brain activity. We evaluated the decoding model on a large population of 1200 participants, under 21 different experimental conditions spanning 6 different cognitive domains, acquired from the Human Connectome Project task-fMRI database. Using a 10s window of fMRI response, the 21 cognitive states were identified with a test accuracy of 89% (chance level 4.8%). Performance remained good when using a 6s window (82%). It was even feasible to decode cognitive states from a single fMRI volume (720ms), with the performance following the shape of the hemodynamic response. Moreover, a saliency map analysis demonstrated that the high decoding performance was driven by the response of biologically meaningful brain regions. Together, we provide an automated tool to annotate human brain activity with fine temporal resolution and fine cognitive granularity. Our model shows potential applications as a reference model for domain adaptation, possibly making contributions in a variety of domains, including neurological and psychiatric disorders.
Published: 2021
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16. Fourteen-day survival among older adults with severe infection with severe acute respiratory syndrome coronavirus 2 treated with corticosteroid: a cohort study

Author: Laure Gallay, Viet-Thi Tran, Elodie Perrodeau, Nicolas Vignier, Matthieu Mahevas, Francesca Bisio, Emmanuel Forestier, Francois-Xavier Lescure, François-Xavier Lescure, Thibaut Fraisse, Diane Sanderink, Bertrand Lioger, Camille Boutrou, Anne - Laure Destrem, Pascal Gicquel, Martin Martinot, Jérémie Pasquier, Jean Reuter, Helene Desmurs-Clavel, Nicolas Benech, Boris Bienvenu, Guillemette Frémont, François Goehringer, Guillaume Chapelet, Olivier Grossi, Didier Laureillard, Cyrille Gourjault, Alexandre Lahens, Célia Azoulay, Nicolas Carlier, Gianpiero Tebano, Jérôme Pacanowski, Simone Tunesi, Nadège Lemaire, Laurent Bellec, Firouze Bani-Sadr, Marie Pichenot, Kevin Alexandre, Laurie Masse, Olivier Robineau, Camille Thorey, Sophie Deriaz, Julien Saison, Marie Gousseff, Laura Goehrs, Fanny Pommeret, and Université de Paris, Centre de Recherche Epidémiologie et Statistiques (CRESS UMR 1153) (CRESS UMR 1153)
Subjects: 0301 basic medicine, Microbiology (medical), medicine.medical_specialty, medicine.drug_class, [SDV]Life Sciences [q-bio], 030106 microbiology, 03 medical and health sciences, 0302 clinical medicine, Interquartile range, Prednisone, Internal medicine, medicine, 030212 general & internal medicine, Adverse effect, ComputingMilieux_MISCELLANEOUS, business.industry, Hazard ratio, General Medicine, medicine.disease, 3. Good health, Pneumonia, Infectious Diseases, Relative risk, Corticosteroid, business, medicine.drug, Cohort study
Abstract: Objective To assess the effectiveness of corticosteroids among older adults with coronavirus disease 2019 (COVID-19) pneumonia requiring oxygen. Methods We used routine care data from 36 hospitals in France and Luxembourg to assess the effectiveness of corticosteroids with at least 0.4 mg/kg/day equivalent prednisone (treatment group) versus standard of care (control group). Participants were adults aged 80 years or older with PCR-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection or CT scan images typical of COVID-19 pneumonia, requiring oxygen ≥3 L/min, and with an inflammatory syndrome (C-reactive protein ≥40 mg/L). The primary outcome was overall survival at day 14. In our main analysis, characteristics of patients at baseline (i.e. time when patients met all inclusion criteria) were balanced by using propensity-score inverse probability of treatment weighting. Results Among the 267 patients included in the analysis, 98 were assigned to the treatment group. Their median age was 86 years (interquartile range 83–90 years) and 95% had a SARS-CoV-2 PCR-confirmed diagnosis. In total, 43/98 (43.9%) patients in the treatment group and 84/166 (50.6%) in the control group died before day 14 (weighted hazard ratio 0.67, 95% CI 0.46–0.99). The treatment and control groups did not differ significantly for the proportion of patients discharged to home/rehabilitation at day 14 (weighted relative risk 1.12, 95% CI 0.68–1.82). Twenty-two (16.7%) patients receiving corticosteroids developed adverse events, but only 11 (6.4%) from the control group. Conclusions Corticosteroids were associated with a significant increase in the overall survival at day 14 of patients aged 80 years and older hospitalized for severe COVID-19.
Published: 2021
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17. Corticosteroids in patients hospitalized for COVID-19 pneumonia who require oxygen: observational comparative study using routine care data

Author: Viet-Thi Tran, Matthieu Mahévas, Firouze Bani-Sadr, Olivier Robineau, Thomas Perpoint, Elodie Perrodeau, Laure Gallay, Philippe Ravaud, François Goehringer, François-Xavier Lescure, Sophie Ismaël, Cédric Laouénan, Jennifer Soulier, Oriane Puéchal, Eric D’Ortenzio, Yazdan Yazdanpanah, Laurence Maulin, Stéphanie Martinez, Diane Sanderink, Pascale Fialaire, Séverine Ansart, Lucas Perez, Anne - Laure Destrem, Chloé Moulin, Pascal Gicquel, Frédéric Rivière, Martin Martinot, Mahsa Mohseni Zadeh, Tomasz Chroboczek, Thibaut Challan Belval, Lionel Piroth, Thibault Sixt, Florian Moretto, André Cabié, Jérémie Pasquier, Ornella Cabras, Marine Morrier, Jean Reuter, Thomas Henin, Pierre Braquet, Helene Desmurs-Clavel, Arnaud Hot, Boris Bienvenu, Belkacem Asselate, Nicolas Vignier, Steve Nguala, Sylvain Diamantis, Guillemette Frémont, Pierre Louis Nivose, Mathilde Thiébaut, Benjamin Lefevre, Hélène Auge, Paul le Turnier, Naila Benkalfate, Olivier Grossi, Samuel Pineau, Elisa Demonchy, Julie Merindol, Claire Durand, Nathalie Tieulié, Viviane Queyrel, Didier Laureillard, Paul Loubet, Ségolène Greffe, Nathalie Dournon, Youssouf Mohamed Kassim, Cyrille Gourjault, Alexandre Lahens, Paul Legendre, Caroline Morbieu, Matthieu Mahevas, Giovanna Melica, Jean-Daniel Levièvre, Frédéric Schlemmer, Simone Tunesi, Claire Leblanc, Anne Bourgarit-Durand, Alexandre Bleibtreu, Gianpiero Tebano, Jérôme Pacanowski, Jean-Benoit Zabbe, Mathilde Devaux, Laurent Bellec, Marine Gosset-Woimant, Céleste Lambert, Maxime Hentzien, Amélie Servettaz, Kevin Alexandre, Manuel Etienne, Romain Leguillon, Marion Dollat, Rémi Lefrancois, Anne Pouvaret, Yvon Ruch, Yannick Dieudonné, Guillaume Martin-Blondel, Xavier Boumaza, Margaux Lafaurie, Macha Tetart, Adrien Lemaignen, Nicole Ferreira-Maldent, Amélie Duréault, Marie Gousseff, Claire Chantepie, Francesca Bisio, Fanny Pommeret, Emeline Colomba Blamble, and Claire Ara Somohano
Subjects: 0301 basic medicine, Adult, Male, Microbiology (medical), medicine.medical_specialty, Adolescent, medicine.medical_treatment, Therapeutic evaluation, 030106 microbiology, Population, Severity of Illness Index, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Prednisone, Adrenal Cortex Hormones, Internal medicine, Observational study, Severity of illness, Medicine, Intubation, Corticosteroids, Humans, 030212 general & internal medicine, education, Aged, Mechanical ventilation, Aged, 80 and over, education.field_of_study, business.industry, Mortality rate, Hazard ratio, Oxygen Inhalation Therapy, COVID-19, General Medicine, Middle Aged, medicine.disease, Respiration, Artificial, COVID-19 Drug Treatment, Pneumonia, C-Reactive Protein, Infectious Diseases, Original Article, Female, business, medicine.drug
Abstract: OBJECTIVE: To assess the effectiveness of corticosteroids on outcomes of patients with COVID-19 pneumonia requiring oxygen without mechanical ventilation. METHODS: We used routine care data from 51 hospitals in France and Luxembourg to assess the effectiveness of corticosteroids at 0.8 mg/kg/day eq. prednisone (CTC group) versus standard of care (no-CTC group) among adults 18 to 80 years old with confirmed COVID-19 pneumonia requiring oxygen without mechanical ventilation. The primary outcome was intubation or death by day 28. In our main analysis, characteristics of patients at baseline (i.e., time when patients met all inclusion criteria) were balanced by using propensity-score inverse probability of treatment weighting. RESULTS: Among the 891 patients included in the analysis, 203 were assigned to the CTC group. Use of corticosteroids was not significantly associated with risk of intubation or death by day 28 (weighted hazard ratio [wHR] 0.92, 95% CI 0.61 to 1.39) or cumulative death rate (wHR 1.03, 95% CI 0.54 to 1.98). However, use of corticosteroids was associated with reduced risk of intubation or death by day 28 in the prespecified subgroups of patients requiring oxygen ≥ 3 L/min (wHR 0.50, 95% CI 0.30 to 0.85) or C-reactive protein level ≥ 100 mg/L (wHR 0.44, 95%CI 0.23 to 0.85). Number of hyperglycaemia events was higher for patients with than without corticosteroids, but number of infections was similar. CONCLUSIONS: We found no association between the use of corticosteroids and intubation or death in the broad population of patients 18 to 80 years old with COVID-19 hospitalized in non-intensive care unit settings. However, the treatment was associated with reduced risk of intubation or death for patients with ≥ 3 L/min oxygen or C-reactive protein level ≥ 100 mg/L at baseline. Further research need to confirm the right timing of corticosteroids for patients with COVID-19 requiring oxygen only.
Published: 2021
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18. Unravelling the Neural Basis of Spatial Delusions After Stroke

Author: Thiebaut De Schotten, Michel, Noble, Stephanie, Heuer, Katja, Bottenhorn, Katherine, Bilgin, Isil, Yang, Yu-Fang, Huntenburg, Julia, Bayer, Johanna M.M., Bethlehem, Richard A.I., Rhoads, Shawn, Vogelbacher, Christoph, Borghesani, Valentina, Levitis, Elizabeth, Wang, Hao-Ting, Van Den Bossche, Sofie, Kobeleva, Xenia, Legarreta, Jon Haitz, Guay, Samuel, Atay, Selim Melvin, Varoquaux, Gael, Huijser, Dorien, Sandström, Malin, Herholz, Peer, Nastase, Samuel, Badhwar, AmanPreet, Dumas, Guillaume, Schwab, Simon, Moia, Stefano, Dayan, Michael, Bassil, Yasmine, Brooks, Paula, Mancini, Matteo, Shine, James, O’Connor, David, Xie, Xihe, Poggiali, Davide, Friedrich, Patrick, Heinsfeld, Anibal, Riedl, Lydia, Toro, Roberto, Caballero-Gaudes, César, Eklund, Anders, Garner, Kelly, Nolan, Christopher, Demeter, Damion, Barrios, Fernando, Merchant, Junaid, McDevitt, Elizabeth, Oostenveld, Robert, Craddock, R. Cameron, Rokem, Ariel, Doyle, Andrew, Ghosh, Satrajit, Nikolaidis, Aki, Stanley, Olivia, Uruñuela, Eneko, Anousheh, Nasim, Arnatkeviciute, Aurina, Auzias, Guillaume, Bachar, Dipankar, Bannier, Elise, Basanisi, Ruggero, Basavaraj, Arshitha, Bedini, Marco, Bellec, Pierre, Benn, R. Austin, Berluti, Kathryn, Bollmann, Steffen, Bollmann, Saskia, Bradley, Claire, Brown, Jesse, Buchweitz, Augusto, Callahan, Patrick, Chan, Micaela, Chandio, Bramsh, Cheng, Theresa, Chopra, Sidhant, Chung, Ai Wern, Close, Thomas, Combrisson, Etienne, Cona, Giorgia, Constable, R. Todd, Cury, Claire, Dadi, Kamalaker, Damasceno, Pablo, Das, Samir, De Vico Fallani, Fabrizio, DeStasio, Krista, Dickie, Erin, Dorfschmidt, Lena, Duff, Eugene, Dupre, Elizabeth, Dziura, Sarah, Esper, Nathalia, Esteban, Oscar, Fadnavis, Shreyas, Flandin, Guillaume, Flannery, Jessica, Flournoy, John, Franco, Alexandre, Ganesan, Saampras, Gao, Siyuan, García Alanis, José, Garyfallidis, Eleftherios, Glatard, Tristan, Glerean, Enrico, Gonzalez-Castillo, Javier, Gould van Praag, Cassandra, Greene, Abigail, Gupta, Geetika, Hahn, Catherine Alice, Halchenko, Yaroslav, Handwerker, Daniel, Hartmann, Thomas, Hayot-Sasson, Valérie, Heunis, Stephan, Hoffstaedter, Felix, Hohmann, Daniela, Horien, Corey, Ioanas, Horea-Ioan, Iordan, Alexandru, Jiang, Chao, Joseph, Michael, Kai, Jason, Karakuzu, Agah, KENNEDY, David, Keshavan, Anisha, Khan, Ali, Kiar, Gregory, Klink, P. Christiaan, Koppelmans, Vincent, Koudoro, Serge, Laird, Angela, Langs, Georg, Laws, Marissa, Licandro, Roxane, Liew, Sook-Lei, Lipic, Tomislav, Litinas, Krisanne, Lurie, Daniel, Lussier, Désirée, Madan, Christopher, Mais, Lea-Theresa, Mansour L, Sina, Manzano-Patron, J.P., Maoutsa, Dimitra, Marcon, Matheus, Margulies, Daniel, Marinato, Giorgio, Marinazzo, Daniele, Markiewicz, Christopher, Meneguzzi, Felipe, Meunier, David, Milham, Michael, Mills, Kathryn, Momi, Davide, Moreau, Clara, Motala, Aysha, Moxon-Emre, Iska, Nichols, Thomas, Nielson, Dylan, Nilsonne, Gustav, Novello, Lisa, O’Brien, Caroline, Olafson, Emily, Oliver, Lindsay, Onofrey, John, Orchard, Edwina, Oudyk, Kendra, Park, Patrick, Parsapoor, Mahboobeh, Pasquini, Lorenzo, Peltier, Scott, Pernet, Cyril, Pienaar, Rudolph, Pinheiro-Chagas, Pedro, Poline, Jean-Baptiste, Qiu, Anqi, Quendera, Tiago, Rice, Laura, Rocha-Hidalgo, Joscelin, Rutherford, Saige, Scharinger, Mathias, Scheinost, Dustin, Shariq, Deena, Shaw, Thomas, Siless, Viviana, Simmonite, Molly, Sirmpilatze, Nikoloz, Spence, Hayli, Sprenger, Julia, Stajduhar, Andrija, Szinte, Martin, Takerkart, Sylvain, Tam, Angela, Tejavibulya, Link, Thome, Ina, Tomaz da Silva, Laura, Traut, Nicolas, Uddin, Lucina, Vallesi, Antonino, VanMeter, John, Vijayakumar, Nandita, di Oleggio Castello, Matteo Visconti, Vohryzek, Jakub, Vukojević, Jakša, Whitaker, Kirstie Jane, Whitmore, Lucy, Wideman, Steve, Witt, Suzanne, Xie, Hua, Xu, Ting, Yan, Chao-Gan, Yeh, Fang-Cheng, Yeo, B.T. Thomas, Zuo, Xi-Nian, Alves, Pedro, Fonseca, Ana, Silva, Daniela, Andrade, Matilde, Pinho‐e‐Melo, Teresa, Martins, Isabel, Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), and Repositório da Universidade de Lisboa
Subjects: 0301 basic medicine, Male, medicine.medical_specialty, Support Vector Machine, Reduplicative paramnesia, Audiology, Logistic regression, Delusions, 03 medical and health sciences, [SCCO]Cognitive science, 0302 clinical medicine, Neuroimaging, Image Interpretation, Computer-Assisted, medicine, Humans, Functional disconnection, Prospective Studies, Stroke, ComputingMilieux_MISCELLANEOUS, Aged, Aged, 80 and over, Brain Mapping, business.industry, Anosognosia, Confounding, 16. Peace & justice, medicine.disease, Magnetic Resonance Imaging, 030104 developmental biology, Neurology, Case-Control Studies, Female, Neurology (clinical), Disconnection, business, Tomography, X-Ray Computed, 030217 neurology & neurosurgery
Abstract: © 2021 American Neurological Association, Objective: Knowing explicitly where we are is an interpretation of our spatial representations. Reduplicative paramnesia is a disrupting syndrome in which patients present a firm belief of spatial mislocation. Here, we studied the largest sample of patients with delusional misidentifications of space (i.e. reduplicative paramnesia) after stroke to shed light on their neurobiology. Methods: In a prospective, cumulative, case-control study, we screened 400 patients with acute right-hemispheric stroke. We included 64 cases and 233 controls. First, lesions were delimited and normalized. Then, we computed structural and functional disconnection maps using methods of lesion-track and network-mapping. The maps were compared, controlling for confounders. Second, we built a multivariate logistic model including clinical, behavioural and neuroimaging data. Finally, we performed a nested cross-validation of the model with a support-vector machine analysis. Results: The most frequent misidentification subtype was confabulatory mislocation (56%), followed by place reduplication (19%) and chimeric assimilation (13%). Our results indicate that structural disconnection is the strongest predictor of the syndrome and included two distinct streams, connecting right fronto-thalamic and right occipito-temporal structures. In the multivariate model, the independent predictors of reduplicative paramnesia were the structural disconnection map, lesion sparing of right dorsal fronto-parietal regions, age and anosognosia. Good discrimination accuracy was demonstrated (area under the curve = 0.80[0.75-0.85]). Interpretation: Our results localize the anatomical circuits that may have a role in the abnormal spatial-emotional binding and in the defective updating of spatial representations underlying reduplicative paramnesia. This novel data may contribute to better understand the pathophysiology of delusional syndromes after stroke., The authors acknowledge our colleagues from the Department of Neurology and from the Language Research Laboratory for their contribution to patient screening. This work received funding from “PRÉMIO JOÃO LOBO ANTUNES” – SCML (grant to P.N.A.), from “Bolsa de Investigação em Doenças Vasculares Cerebrais 2017”–SPAVC (grant to P.N.A.) and from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No. 818521 to M.T.S.).“Data were provided in part bythe Human Connectome Project, WU-Minn Consortium(Principal Investigators: David Van Essen and KamilUgurbil; 1U54 MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University.
Published: 2021
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19. Cerebral functional networks during sleep in young and older individuals

Author: Pierre Maquet, Véronique Daneault, Nadia Gosselin, Jonathan P. Godbout, Julie Carrier, Philippe Pouliot, Christian Dansereau, Philip Dickinson, Julien Doyon, Pierre Orban, Gilles Vandewalle, Pierre Bellec, Jean-Marc Lina, and Nicolas Martin
Subjects: 0301 basic medicine, Adult, Male, Aging, Science, Thalamus, Electroencephalography, Article, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Neuroplasticity, Basal ganglia, Medicine, Humans, Disengagement theory, Wakefulness, Aged, Multidisciplinary, medicine.diagnostic_test, business.industry, Neural ageing, Middle Aged, Sleep in non-human animals, 030104 developmental biology, Female, Sleep Stages, Circadian rhythms and sleep, Nerve Net, business, Functional magnetic resonance imaging, Neuroscience, 030217 neurology & neurosurgery
Abstract: Even though sleep modification is a hallmark of the aging process, age-related changes in functional connectivity using functional Magnetic Resonance Imaging (fMRI) during sleep, remain unknown. Here, we combined electroencephalography and fMRI to examine functional connectivity differences between wakefulness and light sleep stages (N1 and N2 stages) in 16 young (23.1 ± 3.3y; 7 women), and 14 older individuals (59.6 ± 5.7y; 8 women). Results revealed extended, distributed (inter-between) and local (intra-within) decreases in network connectivity during sleep both in young and older individuals. However, compared to the young participants, older individuals showed lower decreases in connectivity or even increases in connectivity between thalamus/basal ganglia and several cerebral regions as well as between frontal regions of various networks. These findings reflect a reduced ability of the older brain to disconnect during sleep that may impede optimal disengagement for loss of responsiveness, enhanced lighter and fragmented sleep, and contribute to age effects on sleep-dependent brain plasticity.
Published: 2021

20. Road surface influence on electric vehicle noise emission at urban speed

Author: Simon Bianchetti, Vincent Gary, Marie-Agnès Pallas, Philippe Klein, Julien Cesbron, Adrien Le Bellec, Unité Mixte de Recherche en Acoustique Environnementale (UMRAE ), Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement (Cerema)-Université Gustave Eiffel, Université de Lyon-Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement (Cerema)-Université Gustave Eiffel, and LIFE E-VIA - LIFE18 ENV/IT/000201
Subjects: business.product_category, Acoustics and Ultrasonics, ELECTRIC VEHICLE, 02 engineering and technology, Management, Monitoring, Policy and Law, ROAD SURFACE, Environmental technology. Sanitary engineering, 7. Clean energy, Automotive engineering, 0203 mechanical engineering, 0502 economics and business, 11. Sustainability, Electric vehicle, TD1-1066, [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph], 050210 logistics & transportation, URBAN ROAD TRAFFIC NOISE, 05 social sciences, TYRE/ROAD NOISE, Urban Studies, 020303 mechanical engineering & transports, 13. Climate action, Noise emission, Road surface, CONTROLLED PASS-BY NOISE, Environmental science, COUCHE DE ROULEMENT, business, BRUIT DE CONTACT PNEU CHAUSSEE, VEHICULE ELECTRIQUE
Abstract: Considering the relative quietness of electric motors, tyre/road interaction has become the prominent source of noise emission from Electric Vehicles (EVs). This study deals with the potential influence of the road surface on EV noise emission, especially in urban area. A pass-by noise measurement campaign has been carried out on a reference test track, involving six different road surfaces and five electric passenger car models in different vehicle segments. The immunity of sound recordings to background noise was considered with care. The overall and spectral pass-by noise levels have been analysed as a function of the vehicle speed for each couple of road surface and EV model. It was found that the type of EV has few influence on the noise classification of the road surfaces at 50 km/h. However, the noise level difference between the quietest and the loudest road surface depends on the EV model, with an average close to 6 dBA, showing the potential effect of the road surface on noise reduction in the context of growing EV fleet in urban area. The perspective based on an average passenger EV in a future French or European electric fleet is addressed.
Published: 2021
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21. Palliative care in hematopoietic stem-cell transplanted patients: Guidelines from the Francophone Society of Bone Marrow Transplantation and Cellular Therapy (SFGM-TC)

Author: Valérie Coiteux, Alice Polomeni, Malika Ainaoui, Adeline Bellec, Chloé Prod’homme, Jacinthe Bonneau, Thomas Descamps, Amandine Charbonnier, Aurélie Berr, Murielle Goncalves, Agnès Ruscassie, Eva de Berranger, Marion Gire, Cécile Borel, Ibrahim Yakoub-Agha, HAL-SU, Gestionnaire, Service d'hématologie clinique et de thérapie cellulaire [CHU Saint-Antoine], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Saint-Antoine [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), CHU Pontchaillou [Rennes], Institut de Cancérologie de Strasbourg Europe (ICANS), CHU Amiens-Picardie, Institut de Cancérologie Lucien Neuwirth, CHU Saint-Etienne, Institut Universitaire du Cancer de Toulouse - Oncopole (IUCT Oncopole - UMR 1037), Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Subjects: 0301 basic medicine, [SDV.MHEP.HEM] Life Sciences [q-bio]/Human health and pathology/Hematology, Cancer Research, medicine.medical_specialty, Palliative care, [SDV.CAN]Life Sciences [q-bio]/Cancer, 03 medical and health sciences, 0302 clinical medicine, [SDV.CAN] Life Sciences [q-bio]/Cancer, Soins palliatifs, Medicine, Radiology, Nuclear Medicine and imaging, Gynecology, Hematopoietic cell transplantation, Multidisciplinary approach, Pluridisciplinarité, business.industry, Allogreffe, [SDV.MHEP.HEM]Life Sciences [q-bio]/Human health and pathology/Hematology, Hematology, General Medicine, Allogreffe pédiatrique, 3. Good health, 030104 developmental biology, Oncology, 030220 oncology & carcinogenesis, business
Abstract: Allogeneic hematopoietic cell transplantation (allo-HCT), the only curative therapy for numerous hematological malignancies, carries a significant risk of morbidity and mortality. The patients and families’ expectations regarding the procedure, the prognosis uncertainties, as well as the existence of potential new therapeutic possibilities, lead to frequent use of intensive care. Even though the transplant physicians are highly skilled in acute care, their knowledge of palliative approach is limited, making the use of palliative care insufficient and often late. By promoting reflection on the proportionality of care and the patients’ quality of life, palliative care may contribute to the allo-HCT patients management. Nevertheless, obstacles to this approach remain. The objective of this work is to propose recommendations to promote the implementation of palliative care into transplant units., L’allogreffe de cellules hématopoïétiques, seule perspective curative pour certaines hémopathies malignes, comporte des risques de morbi-mortalité importants. Les attentes des patients et de leurs proches vis-à-vis de la procédure, les incertitudes pronostiques, ainsi que l’existence de nouvelles possibilités thérapeutiques, engendrent un recours fréquent, onéreux aux soins intensifs. Si les médecins greffeurs maîtrisent parfaitement les soins actifs, leur connaissance en ce qui concerne les soins palliatifs est limitée, rendant l’accès à ces soins très restreint et souvent tardif. Favorisant une réflexion sur la proportionnalité des soins et sur la qualité de vie des patients, les soins palliatifs peuvent contribuer à la prise en charge des patients allogreffés et à l’accompagnement de leurs proches. Néanmoins, des obstacles à cette approche demeurent. Cet article a pour objectif de proposer des recommandations pour favoriser l’intégration de la démarche palliative au sein des unités d’allogreffe.
Published: 2021
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22. Experimental observation of turbulent coherent structures in a superfluid of light

Author: Fabrice Mortessagne, Mathias Albert, Pierre-Élie Larré, Aurélien Eloy, Omar Boughdad, Claire Michel, Matthieu Bellec, Institut de Physique de Nice (INPHYNI), Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), and COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)
Subjects: Physics, [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], Turbulence, business.industry, General Physics and Astronomy, FOS: Physical sciences, Mechanics, Radius, Wake, 01 natural sciences, 010305 fluids & plasmas, Vortex, Superfluidity, Physics::Fluid Dynamics, Nonlinear system, Obstacle, 0103 physical sciences, Photonics, 010306 general physics, business, ComputingMilieux_MISCELLANEOUS, Optics (physics.optics), Physics - Optics
Abstract: We experimentally explore the rich variety of nonlinear coherent structures arising in a turbulent flow of superfluid light past an obstacle in an all-optical configuration. The different hydrodynamic regimes observed are organised in a unique phase diagram involving the velocity of the flow and the diameter of the obstacle. Then, we focus on the vortices nucleated in the wake of the obstacle by investigating their intensity profile and the dependence of the radius of their core on the healing length. Our results pave the way for further investigations on turbulence in photonic superfluids and provide versatile experimental tools for simulating quantum transport with nonlinear light.
Published: 2021
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23. Open science datasets from PREVENT-AD, a longitudinal cohort of pre-symptomatic Alzheimer’s disease

Author: Alan C. Evans, Sylvia Villeneuve, Marie-Elyse Lafaille-Magnan, Jean-Baptiste Poline, Yasser Iturria-Medina, Stephanie O.M. Dyke, Pedro Rosa-Neto, Justin Kat, Pierre Etienne, Samir Das, Judes Poirier, M. Natasha Rajah, Pierre Bellec, Jennifer Tremblay-Mercier, D. Louis Collins, Cécile Madjar, Jordana Remz, Véronique D. Bohbot, Alexa Pichet Binette, John C.S. Breitner, Jeannie Marie S. Leoutsakos, Serge Gauthier, Christine L. Tardif, M. Mallar Chakravarty, and Richard D. Hoge
Subjects: Gerontology, Canada, Open science, Cognitive Neuroscience, Computer applications to medicine. Medical informatics, R858-859.7, tau Proteins, Neuroimaging, Disease, 050105 experimental psychology, Pre-symptomatic Alzheimer Disease, 03 medical and health sciences, 0302 clinical medicine, Open Science, Alzheimer Disease, Humans, Medicine, 0501 psychology and cognitive sciences, Radiology, Nuclear Medicine and imaging, Longitudinal cohort, RC346-429, Observational cohort, Retrospective Studies, Amyloid beta-Peptides, business.industry, 05 social sciences, Regular Article, Cognition, Middle Aged, Longitudinal imaging, medicine.disease, Cerebrospinal Fluid proteins, Neurology, Cohort, Neurology (clinical), Neurology. Diseases of the nervous system, Alzheimer's disease, business, 030217 neurology & neurosurgery, Biomarkers
Abstract: Highlights • PREVENT-AD is openly releasing datasets to the neuroscience community. • PREVENT-AD is a longitudinal study of older adults at-risk of Alzheimer disease. • Data include imaging, genetics, fluid biochemistry, neurosensory, cognition and more. • Data collection methods and data sharing plans for open science are described., To move Alzheimer Disease (AD) research forward it is essential to collect data from large cohorts, but also make such data available to the global research community. We describe the creation of an open science dataset from the PREVENT-AD (PResymptomatic EValuation of Experimental or Novel Treatments for AD) cohort, composed of cognitively unimpaired older individuals with a parental or multiple-sibling history of AD. From 2011 to 2017, 386 participants were enrolled (mean age 63 years old ± 5) for sustained investigation among whom 349 have retrospectively agreed to share their data openly. Repositories are findable through the unified interface of the Canadian Open Neuroscience Platform and contain up to five years of longitudinal imaging data, cerebral fluid biochemistry, neurosensory capacities, cognitive, genetic, and medical information. Imaging data can be accessed openly at https://openpreventad.loris.ca while most of the other information, sensitive by nature, is accessible by qualified researchers at https://registeredpreventad.loris.ca. In addition to being a living resource for continued data acquisition, PREVENT-AD offers opportunities to facilitate understanding of AD pathogenesis.
Published: 2021

24. Microwave resonator lattices for topological photonics [Invited]

Author: Fabrice Mortessagne, Ulrich Kuhl, Mattis Reisner, Matthieu Bellec, Institut de Physique de Nice (INPHYNI), Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), and COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)
Subjects: Microwave resonators, Materials science, business.industry, Honeycomb (geometry), Ranging, 02 engineering and technology, 021001 nanoscience & nanotechnology, Topology, 01 natural sciences, Electronic, Optical and Magnetic Materials, 010309 optics, Nonlinear system, Chain (algebraic topology), 0103 physical sciences, Photonics, 0210 nano-technology, business, Microwave, [PHYS.COND.CM-MSQHE]Physics [physics]/Condensed Matter [cond-mat]/Mesoscopic Systems and Quantum Hall Effect [cond-mat.mes-hall], Photonic crystal
Abstract: International audience; We present a microwave experimental setup emulating tight-binding systems that is now widely used in the realm of topological photonics. A thorough description of the experimental building blocks is presented, showing the advantages and the limits of this platform. Various experimental realizations are then described, ranging from the selective enhancement of a defect state in a non-Hermitian Su-Schrieffer-Heeger (SSH) chain, to the generation of giant pseudo-magnetic fields in deformed honeycomb lattices. Introducing nonlinear losses, the interplay between nonlinearity and topological protection can be engineered to realize a nonlinearly functionalized topological mode with promising applications in receiver protection.
Published: 2021
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25. Modelling and identification of fatigue load spectra: Application in the automotive industry

Author: Enora Bellec, Sylvain Calloch, Maria Paz Silvestri, Sylvain Moyne, Cédric Doudard, Matteo Luca Facchinetti, Institut de Recherche Dupuy de Lôme (IRDL), Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS), PSA Peugeot - Citroën (PSA), PSA Peugeot Citroën (PSA), and This work was carried out within the framework of the partnership between Groupe PSA and the OpenLab Computational Mechanics with the financial support of the ANRT for the CIFRE contract n°2019/0764.
Subjects: Chassis, Computer science, Automotive industry, 02 engineering and technology, [SPI.MECA.MSMECA]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Materials and structures in mechanics [physics.class-ph], Industrial and Manufacturing Engineering, Automotive engineering, 0203 mechanical engineering, Parameter estimation, General Materials Science, Representation (mathematics), business.industry, Estimation theory, Mechanical Engineering, System identification, Process (computing), 021001 nanoscience & nanotechnology, Identification (information), 020303 mechanical engineering & transports, Amplitude, Mechanics of Materials, Modeling and Simulation, 0210 nano-technology, business, Fatigue of materials
Abstract: International audience; This paper is focused on variable amplitude loading spectra applied in the automotive industry, more specifically for the chassis system parts with respect to high cycle fatigue design. A first analytical model referred to as Heuler's model is considered. It is of the simplest use, with one parameter to be identified. A whole identification process, based on road measurement realized on carmaker's proving ground with instrumented vehicles, is developed and discussed. Once the model is identified, the cycles influence on damage production is also investigated. In the light of the obtained results with this model, a second one, noted modified Heuler's model, is introduced and investigated. This model, similar to the first, requires the identification of two parameters. Once again, the whole model identification process is applied, and the lifetime accuracy is assessed. A new tool is presented, enabling the visualisation on the loading spectrum representation of the most and less damaging cycles. Hence, a methodology is set to legitimize a gate implementation when studying a variable amplitude loading spectrum.
Published: 2021
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26. High density synthesis of topological point defects in graphene on 6H–SiC(000 1 ¯ )

Author: Amandine Bellec, Vincent Repain, Hakim Amara, Sylvain Latil, Quentin Berrahal, Sylvie Rousset, Cyril Chacon, Jérôme Lagoute, Yann Girard, Laboratoire Matériaux et Phénomènes Quantiques (MPQ (UMR_7162)), Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Laboratoire d'étude des microstructures [Châtillon] (LEM - ONERA - CNRS), Centre National de la Recherche Scientifique (CNRS)-ONERA, Service de physique de l'état condensé (SPEC - UMR3680), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), and ONERA-Centre National de la Recherche Scientifique (CNRS)
Subjects: Materials science, Grain Boundaries, Scanning tunneling spectroscopy, 02 engineering and technology, Growth, Silicon carbide, 010402 general chemistry, 01 natural sciences, Defect engineering, Topological defect, law.invention, chemistry.chemical_compound, [PHYS.QPHY]Physics [physics]/Quantum Physics [quant-ph], law, Monolayer, General Materials Science, business.industry, Graphene, Fermi energy, General Chemistry, 021001 nanoscience & nanotechnology, Crystallographic defect, Scanning tunelling microscopy/ spectroscopy, 0104 chemical sciences, chemistry, Density functional theory, [PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci], Optoelectronics, 0210 nano-technology, business, Flower formation
Abstract: The control of the physical properties of graphene is a forefront challenge for the development of applications based on this material. Defect engineering is a promising strategy to attain new properties by the insertion of well-defined defects in the carbon lattice. Among the many topological defects of graphene, the one that has the lowest energy per dislocation is a quasi-point-like defect, the so-called Flower Defect (FD). It is generally produced randomly during the graphene synthesis. The deliberate insertion of this defect is promising for the tuning of graphene electronic properties but necessitate to establish a synthesis route allowing to control the formation of flower defects. Here we report a controlled synthesis of graphene with FD using gold as an activator during the graphene synthesis from a 6H–SiC(000 1 ¯ ) silicon carbide wafer. The synthesis consists of a two-step procedure. Creation of a proto-graphene template where one monolayer of gold is evaporated followed by synthesis close to 1200 °C. This leads to a high density of FD, around 10 12 cm - 2 . These results are supported by first-principles calculations showing that gold decreases the flower formation energy by a factor of 2. Scanning tunneling spectroscopy measurements reveal unexpected resonances close to the Fermi energy.
Published: 2020
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27. Effect of turbulence on the wavefront of an ultra high intensity laser beam

Author: Alain Girard, Ulrich Bieder, Morgane Bellec, Guillaume Balarac, François Millet, Nicolas Luchier, Laboratoire de Calculs et Conception Cryogénique (L3C ), Département des Systèmes Basses Températures (DSBT ), Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Grenoble Alpes (UGA)-Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Grenoble Alpes (UGA), Laboratoire de Réfrigération et ThermoHydraulique (LRTH ), Laboratoire des Écoulements Géophysiques et Industriels [Grenoble] (LEGI), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Service de Thermo-hydraulique et de Mécanique des Fluides (STMF), Département de Modélisation des Systèmes et Structures (DM2S), CEA-Direction des Energies (ex-Direction de l'Energie Nucléaire) (CEA-DES (ex-DEN)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-CEA-Direction des Energies (ex-Direction de l'Energie Nucléaire) (CEA-DES (ex-DEN)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire de Cryogénie pour la Fusion (LCF ), and Service des Basses Températures (SBT )
Subjects: Wavefront, [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], Materials science, [PHYS.MECA.MEFL]Physics [physics]/Mechanics [physics]/Mechanics of the fluids [physics.class-ph], business.industry, Turbulence, Mechanical Engineering, Amplifier, Direct numerical simulation, Physics::Optics, 01 natural sciences, 010305 fluids & plasmas, Open-channel flow, 010309 optics, Optical pumping, Optics, 0103 physical sciences, [PHYS.MECA.THER]Physics [physics]/Mechanics [physics]/Thermics [physics.class-ph], Laser beam quality, [PHYS.MECA.MEFL]Physics [physics]/Mechanics [physics]/Fluid mechanics [physics.class-ph], business, Large eddy simulation
Abstract: Ultrahigh intensity lasers face thermal management issues that limit their repetition rates. The key challenge is to efficiently evacuate the heat deposited in the amplifier by the optical pumping without impacting the output laser beam quality. The amplifier can have a multislab geometry where the laser beam crosses successive amplifying slabs and the cooling channels that separate them. This work investigates numerically how a cryogenic cooling of the amplifier by turbulent channel flows may affect the wavefront of the laser beam. To this end, large eddy simulations (LESs) representative of the amplifier cooling are performed using TrioCFD, a code developed by the CEA. First, validation simulations are carried out for heated channel flows, allowing comparisons to direct numerical simulation (DNS) results from the literature. Then, LESs of an open turbulent channel flow cooling two slabs are conducted using conjugated heat transfer between the solid and the fluid. The phase distortions, mean and fluctuations, induced by the inhomogeneous and turbulent temperature field are computed directly from the LES. A moderate although non-negligible effect of the turbulence on the laser wavefront was found. This optical effect increases when the slab heating increases. A comparison to the Sutton model, widely used in aero-optic studies, was performed, and its applicability was found limited for this problem. For the first time, TrioCFD is used to address the question of the beam impact of the cooling of laser amplifiers, and it has proven to be a valuable tool for such application.
Published: 2020
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28. Disordering a superfluid of light

Author: Claire Michel, Matthieu Bellec, Institut de Physique de Nice (INPHYNI), Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), and COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)
Subjects: Condensed Matter::Quantum Gases, Physics, Phase transition, [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], Condensed matter physics, business.industry, 02 engineering and technology, 021001 nanoscience & nanotechnology, 01 natural sciences, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Vortex, 010309 optics, Superfluidity, Condensed Matter::Superconductivity, 0103 physical sciences, Condensed Matter::Statistical Mechanics, Photonics, 0210 nano-technology, business, ComputingMilieux_MISCELLANEOUS, Coherence (physics)
Abstract: A phase transition between disordered and quasi-ordered states, known as the Berezinskii–Kosterlitz–Thouless transition, has now been revealed in a two-dimensional photonic ‘fluid’. The interplay between phase singularities and coherence may lead to new vortex-based optical applications.
Published: 2020
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29. Control of Dipolar Switches on Graphene by a Local Electric Field

Author: Yannick J. Dappe, Jérôme Lagoute, Yann Girard, Cyril Chacon, Sylvie Rousset, Robert Sporken, César González, Mehdi Bouatou, Amandine Bellec, Vincent Repain, Frédéric Joucken, Laboratoire Matériaux et Phénomènes Quantiques (MPQ (UMR_7162)), Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Centre de Recherche en Physique de la Matière et du Rayonnement [Namur] (PMR), Université de Namur [Namur] (UNamur), Universidad Autónoma de Madrid (UAM), Groupe Modélisation et Théorie (GMT), Service de physique de l'état condensé (SPEC - UMR3680), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut Rayonnement Matière de Saclay (IRAMIS), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Universidad Autonoma de Madrid (UAM), Institut Rayonnement Matière de Saclay (IRAMIS), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Service de physique de l'état condensé (SPEC - UMR3680), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Materials science, 02 engineering and technology, 010402 general chemistry, 01 natural sciences, law.invention, law, Electric field, Molecule, Electronics, Physical and Theoretical Chemistry, [PHYS.COND]Physics [physics]/Condensed Matter [cond-mat], ComputingMilieux_MISCELLANEOUS, Molecular switch, business.industry, Graphene, 021001 nanoscience & nanotechnology, 0104 chemical sciences, Surfaces, Coatings and Films, Electronic, Optical and Magnetic Materials, Dipole, General Energy, Optoelectronics, Scanning tunneling microscope, 0210 nano-technology, business, Realization (systems)
Abstract: The realization of molecular electronic devices relies on the ability to perform elementary operations with functional molecules. Molecular switches are established candidates to realize basic electronic functions and data storage. Macrocyclic molecules such as phthalocyanines and their derivatives provide a family of compounds that can be switched by external stimuli between two stable states. Using scanning tunneling microscopy, we investigated tin phthalocyanine on graphene. We show that these molecules can be reversibly switched between two states and that the interaction of their electric dipole with a local electric field drives the switching yield and direction. The control at the single-molecule level of the molecular conformation in a bidimensional lattice is then used to achieve high-density data storage.
Published: 2020
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30. Reproducible functional connectivity endophenotype confers high risk of ASD diagnosis in a subset of individuals

Author: Clara Moreau, Sebastian Urchs, Pierre Bellec, Christian Dansereau, Hien D. Nguyen, Alan C. Evans, and Angela Tam
Subjects: education.field_of_study, business.industry, Functional connectivity, Population, medicine.disease, Individual risk, Autism spectrum disorder, Endophenotype, mental disorders, medicine, Autism, business, education, Independent data, Group level, Neuroscience
Abstract: Functional connectivity (FC) analyses of individuals with autism spectrum disorder (ASD) have established robust alterations of brain connectivity at the group level. Yet, the translation of these imaging findings into robust markers of individual risk is hampered by the extensive heterogeneity among ASD individuals. Here, we report an FC endophenotype that confers a greater than 7-fold risk increase of ASD diagnosis, yet is still identified in an estimated 1 in 200 individuals in the general population. By focusing on a subset of individuals with ASD and highly predictive FC alterations, we achieved a greater than 3-fold increase in risk over previous predictive models. The identified FC risk endophenotype was characterized by underconnectivity of transmodal brain networks and generalized to independent data. Our results demonstrate the ability of a highly targeted prediction model to meaningfully decompose part of the heterogeneity of the autism spectrum. The identified FC signature may help better delineate the multitude of etiological pathways and behavioural symptoms that challenge our understanding of the autism spectrum.
Published: 2020
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31. Open Science Datasets from PREVENT-AD, a Longitudinal Cohort of Pre-symptomatic Alzheimer’s Disease

Author: Pierre Etienne, Pedro Rosa-Neto, Cécile Madjar, Pierre Bellec, Jordana Remz, Véronique D. Bohbot, Judes Poirier, Jennifer Tremblay-Mercier, Marie-Elyse Lafaille-Magnan, Serge Gauthier, Stephanie O.M. Dyke, Richard D. Hoge, D. Louis Collins, Christine L. Tardif, M. Mallar Chakravarty, Jean-Baptiste Poline, Alan C. Evans, Justin Kat, Samir Das, Yasser Iturria-Medina, Alexa Pichet Binette, M. Natasha Rajah, Jeannie Marie S. Leoutsakos, John C.S. Breitner, and Sylvia Villeneuve
Subjects: Gerontology, Open science, business.industry, Cohort, medicine, Cognition, Disease, Alzheimer's disease, Longitudinal cohort, Longitudinal imaging, medicine.disease, business, Imaging data
Abstract: To move Alzheimer Disease (AD) research forward it is essential to collect data from large cohorts, but also make such data available to the global research community. We describe the creation of an open science dataset from the PREVENT-AD (PResymptomatic EValuation of Experimental or Novel Treatments for AD) cohort, composed of cognitively unimpaired older individuals with a parental or multiple-sibling history of AD. From 2011 to 2017, 386 participants were enrolled (mean age 63 years old ± 5) for sustained investigation among whom 349 have retrospectively agreed to share their data openly. Repositories are findable through the unified interface of the Canadian Open Neuroscience Platform (https://portal.conp.ca/) and contain up to five years of longitudinal imaging data, cerebral fluid biochemistry, neurosensory capacities, cognitive, genetic, and medical information. Imaging data can be accessed openly at https://openpreventad.loris.ca while most of the other information, sensitive by nature, is accessible by qualified researchers at https://registeredpreventad.loris.ca. In addition to being a living resource for continued data acquisition, PREVENT-AD offers opportunities to facilitate understanding of AD pathogenesis.
Published: 2020
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32. Molecular electronics: Scanning tunneling microscopy and single-molecule devices

Author: Amandine Bellec, Vincent Repain, and Jérôme Lagoute
Subjects: Materials science, business.industry, General Chemical Engineering, Molecular electronics, 02 engineering and technology, General Chemistry, 021001 nanoscience & nanotechnology, 01 natural sciences, law.invention, law, 0103 physical sciences, Molecule, Optoelectronics, Scanning tunneling microscope, 010306 general physics, 0210 nano-technology, business
Abstract: Comptes Rendus Chimie - In Press.Proof corrected by the author Available online since jeudi 19 juillet 2018
Published: 2018
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33. Supervised machine learning quality control for magnetic resonance artifacts in neonatal data sets

Author: Yang Ding, Gregory A. Lodygensky, Sabrina Suffren, and Pierre Bellec
Subjects: Male, Quality Control, Computer science, Stability (learning theory), Datasets as Topic, brain imaging, Machine learning, computer.software_genre, 050105 experimental psychology, Cross-validation, neonatal, 03 medical and health sciences, 0302 clinical medicine, open source, T2w, Image Interpretation, Computer-Assisted, motion detection, Image Processing, Computer-Assisted, Humans, 0501 psychology and cognitive sciences, Radiology, Nuclear Medicine and imaging, AdaBoost, Research Articles, Radiological and Ultrasound Technology, business.industry, 05 social sciences, Infant, Newborn, Motion detection, Gold standard (test), Magnetic Resonance Imaging, Neurology, Undersampling, Data quality, Female, Neurology (clinical), Artificial intelligence, Noise (video), Supervised Machine Learning, Anatomy, business, Artifacts, computer, 030217 neurology & neurosurgery, Research Article, Canadian Neonatal Brain Platform
Abstract: Quality control (QC) of brain magnetic resonance images (MRI) is an important process requiring a significant amount of manual inspection. Major artifacts, such as severe subject motion, are easy to identify to naïve observers but lack automated identification tools. Clinical trials involving motion‐prone neonates typically pool data to obtain sufficient power, and automated quality control protocols are especially important to safeguard data quality. Current study tested an open source method to detect major artifacts among 2D neonatal MRI via supervised machine learning. A total of 1,020 two‐dimensional transverse T2‐weighted MRI images of preterm newborns were examined and classified as either QC Pass or QC Fail. Then 70 features across focus, texture, noise, and natural scene statistics categories were extracted from each image. Several different classifiers were trained and their performance was compared with subjective rating as the gold standard. We repeated the rating process again to examine the stability of the rating and classification. When tested via 10‐fold cross validation, the random undersampling and adaboost ensemble (RUSBoost) method achieved the best overall performance for QC Fail images with 85% positive predictive value along with 75% sensitivity. Similar classification performance was observed in the analyses of the repeated subjective rating. Current results served as a proof of concept for predicting images that fail quality control using no‐reference objective image features. We also highlighted the importance of evaluating results beyond mere accuracy as a performance measure for machine learning in imbalanced group settings due to larger proportion of QC Pass quality images.
Published: 2018

34. Data‐driven approaches for tau‐PET imaging biomarkers in Alzheimer's disease

Author: Alan C. Evans, Christian Dansereau, Wiesje M. van der Flier, Michael Schöll, Yasser Iturria-Medina, Niklas Mattsson, Sylvia Villeneuve, Olof Strandberg, Pierre Bellec, Oskar Hansson, Jacob W. Vogel, Rik Ossenkoppele, Philip Scheltens, Neurology, Amsterdam Neuroscience - Neurodegeneration, APH - Personalized Medicine, APH - Methodology, and Epidemiology and Data Science
Subjects: Male, Datasets as Topic, Neuroimaging, tau Proteins, Feature selection, 050105 experimental psychology, Pattern Recognition, Automated, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Alzheimer Disease, mental disorders, Cluster Analysis, Humans, Medicine, Dementia, 0501 psychology and cognitive sciences, Radiology, Nuclear Medicine and imaging, Cluster analysis, Episodic memory, Research Articles, Aged, Aged, 80 and over, Radiological and Ultrasound Technology, medicine.diagnostic_test, business.industry, 05 social sciences, Cognition, medicine.disease, Cognitive test, Neurology, Positron emission tomography, Positron-Emission Tomography, Female, Neurology (clinical), Anatomy, business, Cartography, 030217 neurology & neurosurgery, Carbolines
Abstract: Previous positron emission tomography (PET) studies have quantified filamentous tau pathology using regions‐of‐interest (ROIs) based on observations of the topographical distribution of neurofibrillary tangles in post‐mortem tissue. However, such approaches may not take full advantage of information contained in neuroimaging data. The present study employs an unsupervised data‐driven method to identify spatial patterns of tau‐PET distribution, and to compare these patterns to previously published “pathology‐driven” ROIs. Tau‐PET patterns were identified from a discovery sample comprised of 123 normal controls and patients with mild cognitive impairment or Alzheimer's disease (AD) dementia from the Swedish BioFINDER cohort, who underwent [(18)F]AV1451 PET scanning. Associations with cognition were tested in a separate sample of 90 individuals from ADNI. BioFINDER [(18)F]AV1451 images were entered into a robust voxelwise stable clustering algorithm, which resulted in five clusters. Mean [(18)F]AV1451 uptake in the data‐driven clusters, and in 35 previously published pathology‐driven ROIs, was extracted from ADNI [(18)F]AV1451 scans. We performed linear models comparing [(18)F]AV1451 signal across all 40 ROIs to tests of global cognition and episodic memory, adjusting for age, sex, and education. Two data‐driven ROIs consistently demonstrated the strongest or near‐strongest effect sizes across all cognitive tests. Inputting all regions plus demographics into a feature selection routine resulted in selection of two ROIs (one data‐driven, one pathology‐driven) and education, which together explained 28% of the variance of a global cognitive composite score. Our findings suggest that [(18)F]AV1451‐PET data naturally clusters into spatial patterns that are biologically meaningful and that may offer advantages as clinical tools.
Published: 2018
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35. The Canadian Dementia Imaging Protocol: Harmonizing National Cohorts

Author: Christopher J.M. Scott, Vladimir S. Fonov, Cheryl R. McCreary, Joel Ramirez, Pierre Bellec, Maxime Descoteaux, Simon Duchesne, April Khademi, Isabelle Chouinard, Sandra E. Black, Richard D. Hoge, D. Louis Collins, Robert Bartha, Eric E. Smith, Olivier Potvin, and Stephen C. Strother
Subjects: Quality Control, Aging, Canada, Quality Assurance, Health Care, Siemens, Signal-To-Noise Ratio, resting state functional MRI, Imaging phantom, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Neuroimaging, Alzheimer Disease, Humans, magnetic resonance imaging, Medicine, Dementia, Radiology, Nuclear Medicine and imaging, Prospective Studies, standardization, neuroimaging, Resting state fMRI, medicine.diagnostic_test, Phantoms, Imaging, business.industry, Brain, Reproducibility of Results, Neurodegenerative Diseases, Magnetic resonance imaging, diffusion tensor imaging, medicine.disease, Magnetic Resonance Imaging, 3. Good health, Linear Models, Medical Biophysics, business, Nuclear medicine, Quality assurance, Algorithms, morphometry, Diffusion MRI
Abstract: © 2018 International Society for Magnetic Resonance in Medicine Background: Harmonized protocols to collect imaging data must be devised, employed, and maintained in multicentric studies to reduce interscanner variability in subsequent analyses. Purpose: To present a standardized protocol for multicentric research on dementia linked to neurodegeneration in aging, harmonized on all three major vendor platforms. The protocol includes a common procedure for qualification, quality control, and quality assurance and feasibility in large-scale studies. Study Type: Prospective. Subjects: The study involved a geometric phantom, a single individual volunteer, and 143 cognitively healthy, mild cognitively impaired, and Alzheimer's disease participants in a large-scale, multicentric study. Field Strength/Sequences: MRI was perform with 3T scanners (GE, Philips, Siemens) and included 3D T 1 w, PD/T 2 w, T *2 , T 2 w-FLAIR, diffusion, and BOLD resting state acquisitions. Assessment: Measures included signal- and contrast-to-noise ratios (SNR and CNR, respectively), total brain volumes, and total scan time. Statistical Tests: SNR, CNR, and scan time were compared between scanner vendors using analysis of variance (ANOVA) and Tukey tests, while brain volumes were tested using linear mixed models. Results: Geometric phantom T 1 w SNR was significantly (P < 0.001) higher in Philips (mean: 71.4) than Siemens (29.5), while no significant difference was observed between vendors for T 2 w (32.0 and 37.2, respectively, P = 0.243). Single individual volunteer T 1 w CNR was higher in subcortical regions for Siemens (P < 0.001), while Philips had higher cortical CNR (P = 0.044). No significant difference in brain volumes was observed between vendors (P = 0.310/0.582/0.055). The average scan time was 41.0 minutes (SD: 2.8) and was not significantly different between sites (P = 0.071) and cognitive groups (P = 0.853). Data Conclusion: The harmonized Canadian Dementia Imaging Protocol suits the needs of studies that need to ensure quality MRI data acquisition for the measurement of brain changes across adulthood, due to aging, neurodegeneration, and other etiologies. A detailed description, exam cards, and operators' manual are freely available at the following site: www.cdip-pcid.ca. Level of Evidence: 2. Technical Efficacy: Stage 2. J. Magn. Reson. Imaging 2019;49:456–465.
Published: 2018
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36. Optimized radiotherapy to improve clinical outcomes for locally advanced lung cancer

Author: Bertrand De Latour, Joël Castelli, Ulrike Schick, Romain Corre, N. Jaksic, Charles Ricordel, Renaud de Crevoisier, Enrique Chajon, J. Bellec, and Hervé Lena
Subjects: Male, lcsh:Medical physics. Medical radiology. Nuclear medicine, medicine.medical_specialty, Lung Neoplasms, medicine.medical_treatment, lcsh:R895-920, Acceleration, Urology, NSCLC, lcsh:RC254-282, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Esophagus, Carcinoma, Non-Small-Cell Lung, Positron Emission Tomography Computed Tomography, medicine, Esophagitis, Humans, Radiology, Nuclear Medicine and imaging, IMRT, Lung cancer, Radiation Injuries, Lung, Pneumonitis, Aged, Retrospective Studies, Chemotherapy, SMART, Radiotherapy, business.industry, Research, medicine.disease, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Quality Improvement, Confidence interval, Radiation therapy, Radiation Pneumonitis, Treatment Outcome, Oncology, 030220 oncology & carcinogenesis, Concomitant, Toxicity, Female, Radiation Dose Hypofractionation, Radiotherapy, Intensity-Modulated, business
Abstract: Background We aimed to evaluate the toxicity, loco-regional control (LRC) and overall survival (OS) associated with accelerated intensity-modulated radiotherapy (IMRT) for locally advanced lung cancer. Methods Seventy-three patients were consecutively treated with IMRT from November 2011 to August 2016. A total dose of 66 Gy was delivered using two different schedules of radiotherapy: simultaneous modulated accelerated radiotherapy (SMART) (30 × 2.2 Gy, across 6 weeks) with or without chemotherapy, or moderate hypofractionated radiotherapy (HRT) (24 × 2.75 Gy, across 4 weeks) in patients unfit to receive concomitant chemotherapy. Data on esophageal and pulmonary toxicities, LRC and OS were prospectively collected. Results The median follow-up duration was 44 months. Severe pneumonitis and esophagitis (grade 3–4) were observed in 7% and 1% of patients respectively, with only one case of grade 4 (pneumonitis). Overall, the 1-year and 2-year LRCs were 76% [95 confidence interval (CI)%: 66–87%] and 62% [95 CI%: 49–77%] respectively. The 1 and 2-year OS rates were 72% [95% CI: 63–83%] and 54% [95 CI%: 43–68%] respectively. None parameters were correlated with LRC or OS. In particular, no difference was observed between patients treated with SMART and H-RT (p = 0.26 and 0.6 respectively), with a 1-year LRC of 74% [95 CI%: 62–86%] for SMART and 91% [95 CI%: 74–100%] for H-RT. No significant differences were observed in the toxicity rates associated with each of the RT schedules. Conclusions Accelerated IMRT for locally advanced lung cancer is associated with low toxicities and high LRC. Moderate hypofractionated RT, by decreasing the total treatment time, may be promising in improving clinical outcomes.
Published: 2018
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37. Consumption and exposure assessment to sunscreen products: A key point for safety assessment

Author: Sandrine Rakotomalala, Alain-Claude Roudot, Sonia Guillou, Murièle Bellec, Pierre-Jacques Ferret, A.S. Ficheux, Marie-Pierre Gomez-Berrada, and Dominique De Javel
Subjects: Adult, Male, Adolescent, Toxicology, 03 medical and health sciences, Key point, 0404 agricultural biotechnology, 0302 clinical medicine, Environmental health, Humans, Medicine, Child, Probability, Exposure assessment, Consumption (economics), business.industry, 04 agricultural and veterinary sciences, General Medicine, 040401 food science, Child, Preschool, 030220 oncology & carcinogenesis, Female, France, business, Sunscreening Agents, Food Science
Published: 2018
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38. Detecting stable individual differences in the functional organization of the human basal ganglia

Author: Francisco X. Castellanos, Manuel Garcia-Garcia, Michael P. Milham, Pierre Bellec, Brian Cheung, R. Cameron Craddock, and Aki Nikolaidis
Subjects: Adult, Male, 0301 basic medicine, Current (mathematics), Cognitive Neuroscience, Individuality, Stability (probability), Article, Basal Ganglia, Developmental psychology, Young Adult, 03 medical and health sciences, Consistency (database systems), 0302 clinical medicine, Similarity (network science), Basal ganglia, Humans, Cluster analysis, Reliability (statistics), Brain Mapping, business.industry, Cognition, Pattern recognition, Middle Aged, Magnetic Resonance Imaging, 030104 developmental biology, Neurology, Female, Artificial intelligence, Psychology, business, 030217 neurology & neurosurgery
Abstract: Moving from group level to individual level functional parcellation maps is a critical step for developing a rich understanding of the links between individual variation in functional network architecture and cognitive and clinical phenotypes. Still, the identification of functional units in the brain based on intrinsic functional connectivity and its dynamic variations between and within subjects remains challenging. Recently, the bootstrap analysis of stable clusters (BASC) framework was developed to quantify the stability of functional brain networks both across and within subjects. This multi-level approach utilizes bootstrap resampling for both individual and group-level clustering to delineate functional units based on their consistency across and within subjects, while providing a measure of their stability. Here, we optimized the BASC framework for functional parcellation of the basal ganglia by investigating a variety of clustering algorithms and similarity measures. Reproducibility and test-retest reliability were computed to validate this analytic framework as a tool to describe inter-individual differences in the stability of functional networks. The functional parcellation revealed by stable clusters replicated previous divisions found in the basal ganglia based on intrinsic functional connectivity. While we found moderate to high reproducibility, test-retest reliability was high at the boundaries of the functional units as well as within their cores. This is interesting because the boundaries between functional networks have been shown to explain most individual phenotypic variability. The current study provides evidence for the consistency of the parcellation of the basal ganglia, and provides the first group level parcellation built from individual-level cluster solutions. These novel results demonstrate the utility of BASC for quantifying inter-individual differences in the functional organization of brain regions, and encourage usage in future studies.
Published: 2018
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39. Brain properties predict proximity to symptom onset in sporadic Alzheimer’s disease

Author: Etienne Vachon-Presseau, Angela Tam, Alexa Pichet Binette, Pierre Orban, Melissa Savard, Sylvia Villeneuve, Renaud La Joie, John C.S. Breitner, Cynthia Picard, Pierre Bellec, Jacob W. Vogel, and Judes Poirier
Subjects: 0301 basic medicine, Male, Pediatrics, medicine.medical_specialty, Neuroimaging, Disease, Brain mapping, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Apolipoproteins E, Alzheimer Disease, Image Processing, Computer-Assisted, Medicine, Dementia, Humans, Cognitive Dysfunction, Age of Onset, structural MRI, Aged, Aged, 80 and over, Brain Mapping, medicine.diagnostic_test, Resting state fMRI, business.industry, biomarkers, Brain, Original Articles, Middle Aged, medicine.disease, Magnetic Resonance Imaging, MCI, 030104 developmental biology, machine learning, Cohort, Disease Progression, functional MRI, Female, Neurology (clinical), Age of onset, business, Functional magnetic resonance imaging, Cognition Disorders, 030217 neurology & neurosurgery
Abstract: Estimated years to symptom onset (EYO) is a measurement developed to track disease progression in patients with genetic Alzheimer’s disease. Vogel et al. apply this concept to individuals with a parental history of sporadic Alzheimer’s disease. A neuroimaging-based model successfully predicts EYO and years to clinical conversion in unseen data. See Tijms and Visser (doi:10.1093/brain/awy113) for a scientific commentary on this article., See Tijms and Visser (doi:10.1093/brain/awy113) for a scientific commentary on this article. Alzheimer’s disease is preceded by a lengthy ‘preclinical’ stage spanning many years, during which subtle brain changes occur in the absence of overt cognitive symptoms. Predicting when the onset of disease symptoms will occur is an unsolved challenge in individuals with sporadic Alzheimer’s disease. In individuals with autosomal dominant genetic Alzheimer’s disease, the age of symptom onset is similar across generations, allowing the prediction of individual onset times with some accuracy. We extend this concept to persons with a parental history of sporadic Alzheimer’s disease to test whether an individual’s symptom onset age can be informed by the onset age of their affected parent, and whether this estimated onset age can be predicted using only MRI. Structural and functional MRIs were acquired from 255 ageing cognitively healthy subjects with a parental history of sporadic Alzheimer’s disease from the PREVENT-AD cohort. Years to estimated symptom onset was calculated as participant age minus age of parental symptom onset. Grey matter volume was extracted from T1-weighted images and whole-brain resting state functional connectivity was evaluated using degree count. Both modalities were summarized using a 444-region cortical-subcortical atlas. The entire sample was divided into training (n = 138) and testing (n = 68) sets. Within the training set, individuals closer to or beyond their parent’s symptom onset demonstrated reduced grey matter volume and altered functional connectivity, specifically in regions known to be vulnerable in Alzheimer’s disease. Machine learning was used to identify a weighted set of imaging features trained to predict years to estimated symptom onset. This feature set alone significantly predicted years to estimated symptom onset in the unseen testing data. This model, using only neuroimaging features, significantly outperformed a similar model instead trained with cognitive, genetic, imaging and demographic features used in a traditional clinical setting. We next tested if these brain properties could be generalized to predict time to clinical progression in a subgroup of 26 individuals from the Alzheimer’s Disease Neuroimaging Initiative, who eventually converted either to mild cognitive impairment or to Alzheimer’s dementia. The feature set trained on years to estimated symptom onset in the PREVENT-AD predicted variance in time to clinical conversion in this separate longitudinal dataset. Adjusting for participant age did not impact any of the results. These findings demonstrate that years to estimated symptom onset or similar measures can be predicted from brain features and may help estimate presymptomatic disease progression in at-risk individuals.
Published: 2018

40. PD-0891 Cardio-respiratory ITV for cardiac radioablation in case of ventricular tachycardia

Author: L. Rigal, Raphaël P. Martins, N. Jaksic, Mathieu Lederlin, Antoine Simon, P. Caille, Cedrik Lafond, J. Bellec, and R. de Crevoisier
Subjects: medicine.medical_specialty, Oncology, business.industry, Internal medicine, medicine, Cardiology, Radiology, Nuclear Medicine and imaging, Cardiorespiratory fitness, Hematology, Ventricular tachycardia, medicine.disease, business
Published: 2021
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41. Non-invasive ventilation versus high-flow nasal cannula oxygen therapy with apnoeic oxygenation for preoxygenation before intubation of patients with acute hypoxaemic respiratory failure: a randomised, multicentre, open-label trial

Author: Jean-Pierre Frat, Jean-Damien Ricard, Jean-Pierre Quenot, Nicolas Pichon, Alexandre Demoule, Jean-Marie Forel, Jean-Paul Mira, Rémi Coudroy, Guillaume Berquier, Benoit Voisin, Gwenhaël Colin, Bertrand Pons, Pierre Eric Danin, Jérome Devaquet, Gwenael Prat, Raphaël Clere-Jehl, Franck Petitpas, Emmanuel Vivier, Keyvan Razazi, Mai-Anh Nay, Vincent Souday, Jean Dellamonica, Laurent Argaud, Stephan Ehrmann, Aude Gibelin, Christophe Girault, Pascal Andreu, Philippe Vignon, Laurence Dangers, Stéphanie Ragot, Arnaud W Thille, Delphine Chatellier, Florence Boissier, Anne Veinstein, René Robert, Céline Deletage-Métreau, Morgane Olivry, Claire Dahyot-Fizelier, Auguste Dargent, Audrey Large, Emmanuelle Begot, Claire Mancia, Maxence Decavele, Martin Dres, Samuel Lehingue, Laurent Papazian, Marine Paul, Nathalie Marin, Matthieu Le Meur, Mohammed Laissy, Anaita Rouzé, Saad Nseir, Matthieu Henry-Lagarrigue, Aihem Yehia, Frédéric Martino, Charles Cerf, Pierre Bailly, Julie Helms, Jean Baptiste Putegnat, Armand Mekontso-Dessap, Thierry Boulain, Pierre Asfar, Séverin Cabasson, Florent Wallet, Kada Klouche, Frédéric Bellec, Centre hospitalier universitaire de Poitiers (CHU Poitiers), CIC - Poitiers, Université de Poitiers-Centre hospitalier universitaire de Poitiers (CHU Poitiers)-Direction Générale de l'Organisation des Soins (DGOS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital Louis Mourier - AP-HP [Colombes], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Infection, Anti-microbiens, Modélisation, Evolution (IAME (UMR_S_1137 / U1137)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Université Sorbonne Paris Nord, Service de Réanimation Médicale (CHU de Dijon), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Lipides - Nutrition - Cancer [Dijon - U1231] (LNC), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre d'Investigation Clinique 1432 (Dijon) - Module Plurithématique : Périnatalité Cancérologie Handicap et Ophtalmologie (CIC-P803), Institut National de la Santé et de la Recherche Médicale (INSERM)-Direction Générale de l'Organisation des Soins (DGOS)-Université de Bourgogne (UB), Hôpital Dupuytren [CHU Limoges], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), CHU Charles Foix [AP-HP], Neurophysiologie Respiratoire Expérimentale et Clinique, Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Hôpital Nord [CHU - APHM], Aix Marseille Université (AMU), GHU AP-HP Centre Université de Paris, Hôpital Cochin [AP-HP], Université Paris Descartes - Paris 5 (UPD5), Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Centre Hospitalier Départemental - Hôpital de La Roche-sur-Yon, CHU Pointe-à-Pitre/Abymes [Guadeloupe], Centre Hospitalier Universitaire de Nice (CHU Nice), Centre méditerranéen de médecine moléculaire (C3M), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA), Hôpital Foch [Suresnes], Hôpital de la Cavale Blanche - CHRU Brest (CHU - BREST ), Nouvel Hôpital Civil de Strasbourg, Université de Strasbourg (UNISTRA), Les Hôpitaux Universitaires de Strasbourg (HUS), Centre hospitalier Saint Joseph - Saint Luc [Lyon], CHU Henri Mondor, 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), Centre Hospitalier Régional d'Orléans (CHRO), Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM), Hospices Civils de Lyon (HCL), Hôpital Edouard Herriot [CHU - HCL], Centre Hospitalier Régional Universitaire de Tours (CHRU TOURS), Pathologies Respiratoires : Protéolyse et Aérosolthérapie, Université de Tours-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Tenon [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Groupe de Recherche sur le Handicap Ventilatoire (GRHV), Institute for Research and Innovation in Biomedicine (IRIB), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-CHU Rouen, Normandie Université (NU), CHU Rouen, Centre d'Investigation Clinique de Limoges (CIC1435), CHU Limoges-Institut National de la Santé et de la Recherche Médicale (INSERM), Delphine Chatellier, Florence Boissier, Anne Veinstein, René Robert, Céline Deletage-Métreau, Morgane Olivry, Claire Dahyot-Fizelier, Auguste Dargent, Audrey Large, Emmanuelle Begot, Claire Mancia, Maxence Decavele, Martin Dres, Samuel Lehingue, Laurent Papazian, Marine Paul, Nathalie Marin, Matthieu Le Meur, Mohammed Laissy, Anaita Rouzé, Saad Nseir, Matthieu Henry-Lagarrigue, Aihem Yehia, Frédéric Martino, Charles Cerf, Pierre Bailly, Julie Helms, Jean Baptiste Putegnat, Armand Mekontso-Dessap, Thierry Boulain, Pierre Asfar, Séverin Cabasson, Florent Wallet, Kada Klouche, Frédéric Bellec, Delphine Chatellier, Florence Boissier, Anne Veinstein, René Robert, Céline Deletage-Métreau, Morgane Olivry, Maxence Decavele, Martin Dres, Samuel Lehingue, Laurent Papazian, Matthieu Le Meur, Mohammed Laissy, Anaita Rouzé, Saad Nseir, Matthieu Henry-Lagarrigue, Aihem Yehia, Charles Cerf, Armand Mekontso-Dessap, Thierry Boulain, Pierre Asfar, CCSD, Accord Elsevier, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Université Sorbonne Paris Nord, Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Université de Bourgogne (UB)-Direction Générale de l'Organisation des Soins (DGOS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Neurophysiologie Respiratoire Expérimentale et Clinique (UMRS 1158), Centre Hospitalier Départemental - Hôpital de La Roche-sur-Yon (CHD Vendée), Université Nice Sophia Antipolis (1965 - 2019) (UNS), Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Université de Tours (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Institute for Research and Innovation in Biomedicine (IRIB), Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Service de Réanimation, Hôpital Jean Bernard, CHU de Poitiers, Poitiers, France, Equipe LIPNESS (LNC - U1231) (LIPNESS), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Santé et de la Recherche Médicale (INSERM), Coordination des Prélèvements d’Organes et de Tissus (CHPOT), CHU Limoges, Service de Pneumologie et Réanimation Médicale [CHU Pitié-Salpêtrière] (Département ' R3S '), Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Pitié-Salpêtrière [APHP], Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire pluridisciplinaire de recherche en ingénierie des systèmes, mécanique et énergétique (PRISME), Université d'Orléans (UO)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), Centre d'Etudes Lasers Intenses et Applications (CELIA), Université de Bordeaux (UB)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS), Service de Réanimation Médicale [Strasbourg], Institut universitaire des systèmes thermiques industriels (IUSTI), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Réanimation Médicale [Hôpital de l’Archet], Centre Hospitalier Universitaire de Nice (CHU de Nice)-Hôpital de l'Archet, Service de Réanimation Médicale, Hôpital Edouard Herriot, Hospices Civils de Lyon, Lyon, France, parent, Cardiovasculaire, métabolisme, diabétologie et nutrition (CarMeN), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-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)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hospices Civils de Lyon (HCL), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Limoges, Anti-infectieux : supports moléculaires des résistances et innovations thérapeutiques (RESINFIT), CHU Limoges-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), Laboratoire de Génétique Chromosomique et Moléculaire [CHU Dijon], COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-IFR10, Normandie Université (NU)-Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Rouen Normandie (UNIROUEN), and CHU Henri Mondor [Créteil]
Subjects: Pulmonary and Respiratory Medicine, Male, medicine.medical_treatment, [SDV]Life Sciences [q-bio], Nose, medicine.disease_cause, Catheterization, 03 medical and health sciences, 0302 clinical medicine, Fraction of inspired oxygen, Intensive care, Oxygen therapy, medicine, Intubation, Intratracheal, Intubation, Humans, Oximetry, Hypoxia, Noninvasive Ventilation, medicine.diagnostic_test, business.industry, Tracheal intubation, Oxygen Inhalation Therapy, 030208 emergency & critical care medicine, Middle Aged, Respiration, Artificial, 3. Good health, [SDV] Life Sciences [q-bio], Pulse oximetry, 030228 respiratory system, Respiratory failure, Anesthesia, Acute Disease, Female, business, Respiratory Insufficiency, Nasal cannula
Abstract: International audience; BACKGROUND: Non-invasive ventilation has never been compared with high-flow oxygen to determine whether it reduces the risk of severe hypoxaemia during intubation. We aimed to determine if preoxygenation with non-invasive ventilation was more efficient than high-flow oxygen in reducing the risk of severe hypoxaemia during intubation. METHODS: The FLORALI-2 multicentre, open-label trial was done in 28 intensive care units in France. Adult patients undergoing tracheal intubation for acute hypoxaemic respiratory failure (a partial pressure of arterial oxygen [PaO2] to fraction of inspired oxygen [FiO2] ratio of \textless/=300 mm Hg) were randomly assigned (1:1; block size, four participants) to non-invasive ventilation or high-flow oxygen during preoxygenation, with stratification by PaO2/FiO2 ratio (\textless/=200 mm Hg vs \textgreater200 mm Hg). Key exclusion criteria were intubation for cardiac arrest, altered consciousness (defined as a Glasgow coma score of less than eight points), other contraindications to non-invasive ventilation (recent laryngeal, oesophageal, or gastric surgery, and substantial facial fractures), pulse oximetry not available, pregnant or breastfeeding women, and refusal to participate. The primary outcome was the occurrence of severe hypoxaemia (pulse oximetry \textless80%) during the procedure, assessed in the intention-to-treat population. This trial is registered with ClinicalTrials.gov, number NCT02668458. FINDINGS: Between April 15, 2016, and Jan 8, 2017, 2079 patients were intubated in the 28 participating units, and 322 were enrolled. We excluded five patients with no recorded data, two who withdrew consent or were under legal protection, one who was not intubated, and one who had a cardiac arrest. Of the 313 patients included in the intention-to-treat analysis, 142 were assigned to non-invasive ventilation and 171 to high-flow oxygen therapy. Severe hypoxaemia occurred in 33 (23%) of 142 patients after preoxygenation with non-invasive ventilation and 47 (27%) of 171 with high-flow oxygen (absolute difference -4.2%, 95% CI -13.7 to 5.5; p=0.39). In the 242 patients with moderate-to-severe hypoxaemia (PaO2/FiO2 \textless/=200 mm Hg), severe hypoxaemia occurred less frequently after preoxygenation with non-invasive ventilation than with high-flow oxygen (28 [24%] of 117 patients vs 44 [35%] of 125; adjusted odds ratio 0.56, 0.32 to 0.99, p=0.0459). Serious adverse events did not differ between treatment groups, with the most common immediate complications being systolic arterial hypotension (70 [49%] patients in the non-invasive ventilation group vs 86 [50%] patients in the high-flow oxygen group) and chest infiltrate on x-ray (28 [20%] vs 33 [19%]), and the most common late complications being death at day 28 (53 [37%] vs 58 [34%]) and ventilator-associated pneumonia during ICU stay (31 [22%] vs 35 [20%]). INTERPRETATION: In patients with acute hypoxaemic respiratory failure, preoxygenation with non-invasive ventilation or high-flow oxygen therapy did not change the risk of severe hypoxaemia. Future research should explore the effect of preoxygenation method in patients with moderate-to-severe hypoxaemia at baseline. FUNDING: French Ministry of Health.
Published: 2019
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42. Multisite generalizability of schizophrenia diagnosis classification based on functional brain connectivity

Author: Pierre Orban, Violaine Mongeau-Pérusse, Charles-Édouard Giguère, Hien D. Nguyen, Pierre Bellec, Christian Dansereau, Emmanuel Stip, Adrianna Mendrek, and Laurence Desbois
Subjects: Adult, Male, 0301 basic medicine, Computer science, Machine learning, computer.software_genre, Generalization, Psychological, Developmental psychology, Machine Learning, Young Adult, 03 medical and health sciences, Functional brain, 0302 clinical medicine, Image Processing, Computer-Assisted, Humans, Generalizability theory, Biological Psychiatry, 030304 developmental biology, 0303 health sciences, business.industry, Brain, Cognition, Magnetic Resonance Imaging, Oxygen, Psychiatry and Mental health, 030104 developmental biology, Case-Control Studies, Schizophrenia, Female, Schizophrenic Psychology, Diagnosis Classification, Artificial intelligence, Psychology, business, Classifier (UML), computer, 030217 neurology & neurosurgery
Abstract: Our objective was to assess the generalizability, across sites and cognitive contexts, of schizophrenia classification based on functional brain connectivity. We tested different training-test scenarios combining fMRI data from 191 schizophrenia patients and 191 matched healthy controls obtained at 6 scanning sites and under different task conditions. Diagnosis classification accuracy generalized well to a novel site and cognitive context provided data from multiple sites were used for classifier training. By contrast, lower classification accuracy was achieved when data from a single distinct site was used for training. These findings indicate that it is beneficial to use multisite data to train fMRI-based classifiers intended for large-scale use in the clinical realm.
Published: 2018
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43. Enteral versus parenteral early nutrition in ventilated adults with shock: a randomised, controlled, multicentre, open-label, parallel-group study (NUTRIREA-2)

Author: Jean Reignier, Julie Boisramé-Helms, Laurent Brisard, Jean-Baptiste Lascarrou, Ali Ait Hssain, Nadia Anguel, Laurent Argaud, Karim Asehnoune, Pierre Asfar, Frédéric Bellec, Vlad Botoc, Anne Bretagnol, Hoang-Nam Bui, Emmanuel Canet, Daniel Da Silva, Michael Darmon, Vincent Das, Jérôme Devaquet, Michel Djibre, Frédérique Ganster, Maité Garrouste-Orgeas, Stéphane Gaudry, Olivier Gontier, Claude Guérin, Bertrand Guidet, Christophe Guitton, Jean-Etienne Herbrecht, Jean-Claude Lacherade, Philippe Letocart, Frédéric Martino, Virginie Maxime, Emmanuelle Mercier, Jean-Paul Mira, Saad Nseir, Gael Piton, Jean-Pierre Quenot, Jack Richecoeur, Jean-Philippe Rigaud, René Robert, Nathalie Rolin, Carole Schwebel, Michel Sirodot, François Tinturier, Didier Thévenin, Bruno Giraudeau, Amélie Le Gouge, Hervé Dupont, Marc Pierrot, François Beloncle, Danièle Combaux, Romain Mercier, Hadrien Winiszewski, Gilles Capellier, Gilles Hilbert, Didier Gruson, Pierre Kalfon, Bertrand Souweine, Elizabeth Coupez, Jean-Damien Ricard, Jonathan Messika, François Bougerol, Pierre-Louis Declercq, Auguste Dargent, Audrey Large, Djillali Annane, Bernard Clair, Agnès Bonadona, Rebecca Hamidfar, Christian Richard, Mathieu Henry-Lagarrigue, Ahiem Yehia Yehia, Johanna Temime, Stephanie Barrailler, Raphaël Favory, Erika Parmentier-Decrucq, Mercé Jourdain, Loredana Baboi, Marie Simon, Thomas Baudry, Mehran Monchi, Jérôme Roustan, Patrick Bardou, Alice Cottereau, Philippe Guiot, Noelle Brule, Mickael Landais, Antoine Roquilly, Thierry Boulain, Dalila Benzekri, Benoit Champigneulle, Jalel Tahiri, Gabriel Preda, Benoit Misset, Virginie Lemiale, Lara Zafrani, Muriel Fartoukh, Guillaume Thiéry, Delphine Chatellier, Rémi Coudroy, Renaud Chouquer, Samuel Gay, Christine Brasse, Arnaud Delahaye, Luis Ferreira, Régine Vermesch, Stéphanie Chevalier, Charlotte Quentin, Quentin Maestraggi, Francis Schneider, Ferhat Meziani, Charles Cerf, Grégoire Trebbia, Charlotte Salmon-Gandonnière, Laetitia Bodet-Contentin, Service d'anesthésie et réanimation chirurgicale [Nantes], Hôtel-Dieu-Centre hospitalier universitaire de Nantes (CHU Nantes), Service de Réanimation Médicale [Strasbourg], Les Hôpitaux Universitaires de Strasbourg (HUS), Stress vasculaire et tissulaire en transplantation : microparticules et environnement, Université de Strasbourg (UNISTRA), Service de réanimation médicale [CHU Nantes], Centre hospitalier universitaire de Nantes (CHU Nantes), Service d'Anésthésie Réanimation [CHU Clermont-Ferrand], CHU Estaing [Clermont-Ferrand], CHU Clermont-Ferrand-CHU Clermont-Ferrand, Groupement Hospitalier - Hôpital Edouard Herriot, Service de Réanimation Médicale, Hospices Civils de Lyon (HCL), Service de médecine intensive - réanimation et médecine hyperbare [CHU Angers], Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM)-PRES Université Nantes Angers Le Mans (UNAM), Service de réanimation et de surveillance continue [CH Mautauban], Centre hospitalier de Montauban, Service de réanimation (CH Saint-Malo), Centre hospitalier de Saint-Malo, Service de Réanimation Polyvalente - CHR d’Orleans, Service de Réanimation Médicale [CHU Bordeaux], CHU Bordeaux [Bordeaux]-Hôpital Pellegrin, Service d’anesthésie-réanimation [AP-HP Hôpital Saint-Louis], Hopital Saint-Louis [AP-HP] (AP-HP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), réanimation et soins continus [CH Saint-Denis], Centre Hospitalier de Saint-Denis [Ile-de-France], Service des Urgences et de Réanimation Médicale (Urg - SAINT ETIENNE), Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne), Service de réanimation polyvalente [Hôpital Foch, Suresnes], Hôpital Foch [Suresnes], Service de Réanimation et USC Médico-Chirurgicale = Médecine intensive réanimation [CHU Tenon], CHU Tenon [AP-HP], Service de réanimation chirurgicale [Centre Hospitalier Emile Muller, Mulhouse], Centre Hospitalier Emile Muller [Mulhouse] (CH E.Muller Mulhouse), Groupe Hospitalier de Territoire Haute Alsace (GHTHA)-Groupe Hospitalier de Territoire Haute Alsace (GHTHA), Infection, Anti-microbiens, Modélisation, Evolution (IAME (UMR_S_1137 / U1137)), Université Paris 13 (UP13)-Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Unité de Soins Intensifs [Saint-Louis], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Groupe Hospitalier Saint Louis - Lariboisière - Fernand Widal [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre Hospitalier Le Mans (CH Le Mans), Biomatériaux et Bioingénierie (BB), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Matériaux et nanosciences d'Alsace (FMNGE), 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), Service de réanimation (CH La Roche-sur-Yon), Centre Hospitalier Départemental - Hôpital de La Roche-sur-Yon (CHD Vendée), Service de Réanimation Médicale (CHU de Dijon), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Lipides - Nutrition - Cancer [Dijon - U1231] (LNC), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Laboratoire d'Excellence : Lipoprotéines et Santé : prévention et Traitement des maladies Inflammatoires et du Cancer (LabEx LipSTIC), Institut National de la Recherche Agronomique (INRA)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université Paris-Sud - Paris 11 (UP11)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut Gustave Roussy (IGR)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon)-Université de Bourgogne (UB)-Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon)-Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), UNICANCER-UNICANCER-Institut National de la Santé et de la Recherche Médicale (INSERM)-Fédération Francophone de la Cancérologie Digestive, FFCD-Université de Montpellier (UM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Etablissement français du sang [Bourgogne-Franche-Comté] (EFS [Bourgogne-Franche-Comté])-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Service de Réanimation, Hôpital Jean Bernard, CHU de Poitiers, Poitiers, France, Radiopharmaceutiques biocliniques (LRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Centre d’Investigation Clinique [Tours] CIC 1415 (CIC ), Centre Hospitalier Régional Universitaire de Tours (CHRU Tours)-Hôpital Bretonneau-Université de Tours (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), CIC - Tours, Centre Hospitalier Régional Universitaire de Tours (CHRU Tours)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Réanimation Médicale, CHU Gabriel Montpied, CHU de Clermont-Ferrand, France, AP-HP Hôpital Saint-Louis, Service de réanimation et USC médico-chirurgicale [CHU Tenon], Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Tenon [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Groupe Hospitalier Saint Louis - Lariboisière - Fernand Widal [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (APHP), Université de Strasbourg (UNISTRA)-Matériaux et nanosciences d'Alsace, 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)-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)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Départemental - Hôpital de La Roche-sur-Yon, Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Recherche Agronomique (INRA)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université Paris-Sud - Paris 11 (UP11)-École pratique des hautes études (EPHE)-Institut Gustave Roussy (IGR)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Université de Bourgogne (UB)-Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon)-Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc (CRLCC - CGFL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Fédération Francophone de la Cancérologie Digestive, FFCD-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Etablissement français du sang [Bourgogne-France-Comté] (EFS [Bourgogne-France-Comté])-Centre National de la Recherche Scientifique (CNRS)-Centre Hospitalier Régional Universitaire [Besançon] (CHRU Besançon)-Université de Franche-Comté (UFC)-Université de Montpellier (UM), Radiopharmaceutiques biocliniques, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA), CIC Tours, Hôpital Bretonneau-Université de Tours-Centre Hospitalier Régional Universitaire de Tours (CHRU Tours)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Réanimation et USC Médico-Chirurgicale [CHU Tenon], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut de Chimie du CNRS (INC)-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)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-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)-Centre National de la Recherche Scientifique (CNRS), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut Gustave Roussy (IGR)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Université de Bourgogne (UB)-Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon)-Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), UNICANCER-UNICANCER-Institut National de la Santé et de la Recherche Médicale (INSERM)-Fédération Francophone de la Cancérologie Digestive, FFCD-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Etablissement français du sang [Bourgogne-Franche-Comté] (EFS [Bourgogne-Franche-Comté])-Centre National de la Recherche Scientifique (CNRS)-Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université de Montpellier (UM), Centre Hospitalier Régional Universitaire de Tours (CHRU Tours)-Hôpital Bretonneau-Université de Tours-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris 13 (UP13)-Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC), Université de Strasbourg (UNISTRA)-Matériaux et nanosciences d'Alsace (FMNGE), Institut de Chimie du CNRS (INC)-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)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-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)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôtel-Dieu-Centre hospitalier universitaire de Nantes ( CHU Nantes ), Université de Strasbourg ( UNISTRA ), Centre hospitalier universitaire de Nantes ( CHU Nantes ), Hospices Civils de Lyon ( HCL ), CHU Angers, CH Saint-Denis, Service des Urgences et de Réanimation Médicale ( Urg - SAINT ETIENNE ), Centre Hospitalier Universitaire de Saint-Etienne ( CHU de Saint-Etienne ), Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Tenon [APHP], Centre Hospitalier Emile Muller [Mulhouse] ( CH E.Muller Mulhouse ), Groupe Hospitalier de Territoire Haute Alsace ( GHTHA ) -Groupe Hospitalier de Territoire Haute Alsace ( GHTHA ), Infection, Antimicrobiens, Modélisation, Evolution ( IAME ), Université Paris 13 ( UP13 ) -Université Paris Diderot - Paris 7 ( UPD7 ) -Université Sorbonne Paris Cité ( USPC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Assistance publique - Hôpitaux de Paris (AP-HP)-Groupe Hospitalier Saint Louis - Lariboisière - Fernand Widal [Paris], Centre Hospitalier Le Mans, Biomatériaux et Bioingénierie, Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Matériaux et nanosciences d'Alsace, 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 ) -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 ) -Centre National de la Recherche Scientifique ( CNRS ), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand ( CHU Dijon ), Lipides - Nutrition - Cancer [Dijon - U1231] ( LNC ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Laboratoire d'Excellence : Lipoprotéines et Santé : prévention et Traitement des maladies Inflammatoires et du Cancer ( LabEx LipSTIC ), Institut National de la Recherche Agronomique ( INRA ) -Université Montpellier 2 - Sciences et Techniques ( UM2 ) -Université Paris-Sud - Paris 11 ( UP11 ) -École pratique des hautes études ( EPHE ) -Institut Gustave Roussy ( IGR ) -Centre Hospitalier Régional Universitaire de Nancy ( CHRU Nancy ) -Université de Bourgogne ( UB ) -Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand ( CHU Dijon ) -Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc ( CRLCC - CGFL ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Fédération Francophone de la Cancérologie Digestive, FFCD-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Etablissement français du sang [Bourgogne-France-Comté] ( EFS [Bourgogne-France-Comté] ) -Centre National de la Recherche Scientifique ( CNRS ) -Centre Hospitalier Régional Universitaire [Besançon] ( CHRU Besançon ) -Université de Franche-Comté ( UFC ), Institut National de la Santé et de la Recherche Médicale ( INSERM ), Hôpital Bretonneau-Université de Tours-CHRU Tours-Institut National de la Santé et de la Recherche Médicale ( INSERM ), and CHRU Tours-Institut National de la Santé et de la Recherche Médicale ( INSERM )
Subjects: Adult, Male, Parenteral Nutrition, Pediatrics, medicine.medical_specialty, Time Factors, Critical Care, Secondary infection, Enteral feeding, Clinical nutrition, Enteral administration, law.invention, 03 medical and health sciences, Enteral Nutrition, 0302 clinical medicine, Randomized controlled trial, law, [ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathology, Humans, Vasoconstrictor Agents, Medicine, Cumulative incidence, Hospital Mortality, 030212 general & internal medicine, Nutritional support, Aged, Acute critical illness, business.industry, Malnutrition, Hazard ratio, Shock, 030208 emergency & critical care medicine, General Medicine, Length of Stay, Middle Aged, Interim analysis, Respiration, Artificial, The enteral route, 3. Good health, Treatment Outcome, Parenteral nutrition, Female, business, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract: International audience; BackgroundWhether the route of early feeding affects outcomes of patients with severe critical illnesses is controversial. We hypothesised that outcomes were better with early first-line enteral nutrition than with early first-line parenteral nutrition.MethodsIn this randomised, controlled, multicentre, open-label, parallel-group study (NUTRIREA-2 trial) done at 44 French intensive-care units (ICUs), adults (18 years or older) receiving invasive mechanical ventilation and vasopressor support for shock were randomly assigned (1:1) to either parenteral nutrition or enteral nutrition, both targeting normocaloric goals (20–25 kcal/kg per day), within 24 h after intubation. Randomisation was stratified by centre using permutation blocks of variable sizes. Given that route of nutrition cannot be masked, blinding of the physicians and nurses was not feasible. Patients receiving parenteral nutrition could be switched to enteral nutrition after at least 72 h in the event of shock resolution (no vasopressor support for 24 consecutive hours and arterial lactate
Published: 2018
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44. 424 High short-term variability of fetal heart-rate reflects maternal-fetal metabolic syndrome

Author: Patrick Zemb, Philippe Condominas, Romain Corroenne, Fabrice Joulia, Chloé Rousseau, Pauline Lelièvre, Helena Rad, Jean-Yves Bellec, and Diana Le Penher
Subjects: Fetal heart rate, business.industry, Short Term Variability, Obstetrics and Gynecology, Maternal fetal, Physiology, Medicine, Metabolic syndrome, business, medicine.disease
Published: 2021
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45. 369 Placental central intralobular lakes: an inversion of pressure differential in relation to fetal capillaries?

Author: Romain Corroenne, Jean-Yves Bellec, Patrick Zemb, Helena Rad, Chloé Rousseau, Fabrice Joulia, Pascale Marcorelles, Pauline Lelièvre, and Philippe Condominas
Subjects: business.industry, Inversion (geology), Obstetrics and Gynecology, Medicine, Pressure differential, Geophysics, business
Published: 2021
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46. Software architectures to integrate workflow engines in science gateways

Author: Pierre-Olivier Quirion, Vladimir Korkhov, Reza Adalat, Silvia D. Olabarriaga, Pierre Bellec, Tristan Glatard, Rafael Ferreira da Silva, Najmeh Khalili-Mahani, Samir Das, Natacha Beck, Sorina Camarasu-Pop, Pierre Rioux, M. Rousseau, Alan C. Evans, APH - Methodology, Epidemiology and Data Science, Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-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)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), McConnell Brain Imaging Centre (MNI), Montreal Neurological Institute and Hospital, McGill University = Université McGill [Montréal, Canada]-McGill University = Université McGill [Montréal, Canada], Service Informatique et développements, Information Sciences Institute [California], University of Southern California (USC), Saint-Petersburg State University, Centre de recherche de l'Institut universitaire de gériatrie de Montreal (CRIUGM), Université de Montréal (UdeM), Academic Medical Center - Academisch Medisch Centrum [Amsterdam] (AMC), and University of Amsterdam [Amsterdam] (UvA)
Subjects: 0301 basic medicine, Computer Networks and Communications, Windows Workflow Foundation, business.industry, Computer science, Distributed computing, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE], 02 engineering and technology, Workflow engine, Workflow technology, Software architectures, 03 medical and health sciences, Workflow engines, 030104 developmental biology, Workflow, Software, Science gateways, Hardware and Architecture, Scalability, Component-based software engineering, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, business, Workflow management system
Abstract: Science gateways often rely on workflow engines to execute applications on distributed infrastructures. We investigate six software architectures commonly used to integrate workflow engines into science gateways. In tight integration, the workflow engine shares software components with the science gateway. In service invocation, the engine is isolated and invoked through a specific software interface. In task encapsulation, the engine is wrapped as a computing task executed on the infrastructure. In the pool model, the engine is bundled in an agent that connects to a central pool to fetch and execute workflows. In nested workflows, the engine is integrated as a child process of another engine. In workflow conversion, the engine is integrated through workflow language conversion. We describe and evaluate these architectures with metrics for assessment of integration complexity, robustness, extensibility, scalability and functionality. Tight integration and task encapsulation are the easiest to integrate and the most robust. Extensibility is equivalent in most architectures. The pool model is the most scalable one and meta-workflows are only available in nested workflows and workflow conversion. These results provide insights for science gateway architects and developers. (C) 2017 The Author(s). Published by Elsevier B.V
Published: 2017
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47. ITV versus mid-ventilation for treatment planning in lung SBRT: a comparison of target coverage and PTV adequacy by using in-treatment 4D cone beam CT

Author: Joël Castelli, Caroline Lafond, Enrique Chajon, J. Bellec, F. Arab-Ceschia, Centre Eugène Marquis (CRLCC), Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Jonchère, Laurent
Subjects: lcsh:Medical physics. Medical radiology. Nuclear medicine, Lung Neoplasms, medicine.medical_treatment, lcsh:R895-920, ITV, Planning target volume, [SDV.CAN]Life Sciences [q-bio]/Cancer, [SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicine, Radiosurgery, lcsh:RC254-282, [SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, 030218 nuclear medicine & medical imaging, [SDV.IB.MN] Life Sciences [q-bio]/Bioengineering/Nuclear medicine, Stereotactic body radiation therapy (SBRT), 03 medical and health sciences, 0302 clinical medicine, [SDV.CAN] Life Sciences [q-bio]/Cancer, medicine, Humans, Radiology, Nuclear Medicine and imaging, Four-Dimensional Computed Tomography, Planning strategy, Radiation treatment planning, Image guidance, Cone beam ct, Lung, business.industry, Radiotherapy Planning, Computer-Assisted, Research, Mid-ventilation, Cone-Beam Computed Tomography, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, 3. Good health, Radiation therapy, Geometric uncertainties, medicine.anatomical_structure, Oncology, 030220 oncology & carcinogenesis, Breathing, Respiratory motions, [SDV.MHEP.PSR] Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, Radiotherapy, Intensity-Modulated, Lung cancer, Nuclear medicine, business, Stereotactic body radiotherapy, 4D-CBCT
Abstract: Background The internal target volume (ITV) approach and the mid-ventilation (MidV) concept are the two main respiratory motion-management strategies under free breathing. The purpose of this work was to compare the actual in-treatment target coverage during volumetric modulated arctherapy (VMAT) delivered through both ITV-based and MidV-based planning target volume (PTV) and to provide knowledge in choosing the optimal PTV for stereotactic body radiotherapy (SBRT) for lung lesions. Methods and materials Thirty-two lung cancer patients treated by a VMAT technique were included in the study. For each fraction, the mean time-weighted position of the target was localized by using a 4-dimensional cone-beam CT (4D-CBCT)-based image guidance procedure. The respiratory-correlated location of the gross tumor volume (GTV) during treatment delivery was determined for each fraction by using in-treatment 4D-CBCT images acquired concurrently with VMAT delivery (4D-CBCTin-treat). The GTV was delineated from each of the ten respiratory phase-sorted 4D-CBCTin-treat datasets for each fraction. We defined target coverage as the average percentage of the GTV included within the PTV during the patient’s breathing cycle averaged over the treatment course. Target coverage and PTVs were reported for a MidV-based PTV (PTVMidV) using dose-probabilistic margins and three ITV-based PTVs using isotropic margins of 5 mm (PTVITV + 5mm), 4 mm (PTVITV + 4mm) and 3 mm (PTVITV + 3mm). The in-treatment baseline displacements and target motion amplitudes were reported to evaluate the impact of both parameters on target coverage. Results Overall, 100 4D-CBCTin-treat images were analyzed. The mean target coverage was 98.6, 99.6, 98.9 and 97.2% for PTVMidV, PTVITV + 5mm, PTVITV + 4mm and PTVITV + 3mm, respectively. All the PTV margins led to a target coverage per treatment higher than 95% in at least 90% of the evaluated cases. Compared to PTVITV + 5mm, PTVMidV, PTVITV + 4mm and PTVITV + 3mm had mean PTV reductions of 16, 19 and 33%, respectively. Conclusion When implementing VMAT with 4D-CBCT-based image guidance, an ITV-based approach with a tighter margin than the commonly used 5 mm margin remains an alternative to the MidV-based approach for reducing healthy tissue exposure in lung SBRT. Compared to PTVMidV, PTVITV + 3mm significantly reduced the PTV while still maintaining an adequate in-treatment target coverage.
Published: 2020
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48. A Multiomics Approach to Heterogeneity in Alzheimer’s Disease: Focused Review and Roadmap

Author: AmanPreet Badhwar, Pierre Bellec, Liang Li, Roger A. Dixon, Howard Chertkow, Simon Duchesne, Mario Masellis, Shraddha Sapkota, Sandra E. Black, and G. Peggy McFall
Subjects: Neuroimaging, Genomics, Computational biology, Disease, 03 medical and health sciences, 0302 clinical medicine, Metabolomics, Alzheimer Disease, Humans, Dementia, Medicine, Precision Medicine, Review Articles, 030304 developmental biology, 0303 health sciences, business.industry, Neurodegeneration, Omics, medicine.disease, 3. Good health, Polygenic risk score, Neurology (clinical), Personalized medicine, business, 030217 neurology & neurosurgery
Abstract: Aetiological and clinical heterogeneity is increasingly recognized as a common characteristic of Alzheimer’s disease and related dementias. This heterogeneity complicates diagnosis, treatment, and the design and testing of new drugs. An important line of research is discovery of multimodal biomarkers that will facilitate the targeting of subpopulations with homogeneous pathophysiological signatures. High-throughput ‘omics’ are unbiased data-driven techniques that probe the complex aetiology of Alzheimer’s disease from multiple levels (e.g. network, cellular, and molecular) and thereby account for pathophysiological heterogeneity in clinical populations. This review focuses on data reduction analyses that identify complementary disease-relevant perturbations for three omics techniques: neuroimaging-based subtypes, metabolomics-derived metabolite panels, and genomics-related polygenic risk scores. Neuroimaging can track accrued neurodegeneration and other sources of network impairments, metabolomics provides a global small-molecule snapshot that is sensitive to ongoing pathological processes, and genomics characterizes relatively invariant genetic risk factors representing key pathways associated with Alzheimer’s disease. Following this focused review, we present a roadmap for assembling these multiomics measurements into a diagnostic tool highly predictive of individual clinical trajectories, to further the goal of personalized medicine in Alzheimer’s disease.
Published: 2019
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49. Le traitement des petites tumeurs du rein : efficacité et comparaison des coûts

Author: B. Malavaud, J. Piechaud-Kressmann, X. Gamé, M. Soulié, Mathieu Roumiguié, M.-C. Delchier-Bellec, Jean-Baptiste Beauval, Pascal Rischmann, and Laurent Bellec
Subjects: Gynecology, 03 medical and health sciences, medicine.medical_specialty, 0302 clinical medicine, Cost comparison, business.industry, 030220 oncology & carcinogenesis, Urology, 030232 urology & nephrology, medicine, Nephron sparing surgery, Renal tumor, business
Abstract: Resume Objectif Le stade de decouverte et le traitement du cancer du rein ont change. La nephrectomie partielle est le traitement de reference pour les petites tumeurs du rein (PTR). Sont recommandees egalement les techniques thermo-ablatives. Le cout de ces traitements pour l’etablissement et pour la societe est souvent mal connu. Le but de cette etude etait de calculer le cout du traitement des PTR afin d’en apprecier la rentabilite pour un etablissement de sante qui investit dans l’innovation. Materiel et methodes Une etude retrospective monocentrique a ete menee avec 124 patients traites pour une PTR de stade T1a par nephrectomie partielle ouverte (NPO), cœlioscopique (NPC) et robot-assistee (NPCR), par radiofrequence (RF) et cryotherapie (CT) entre 2009 et 2011. Nous avons calcule le prix du sejour de chaque patient, recherche la somme facturee a l’Assurance maladie et calcule la rentabilite du traitement pour l’etablissement. Resultats La NPO coutait en moyenne 7884 ± 1201 € et rapportait 451 ± 1861 €, la NPC coutait en moyenne 6973 ± 3503 € et rapportait 2271 ± 3370 €, la NPCR coutait en moyenne 9600 ± 4595 € et entrainait un deficit de 838 ± 3007 €. La radiofrequence coutait en moyenne 2724 ± 813 € et entrainait un deficit de 954 ± 684 €, la cryotherapie coutait en moyenne 6702 ± 857 € et entrainait un deficit de 4723 ± 941 €. Conclusion Au moment de l’etude, la NPC etait le traitement des PTR qui offrait la meilleure rentabilite. Niveau de preuve 4.
Published: 2016
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50. Cutaneous ulcers revealing diphtheria: A re-emerging disease imported from Indian Ocean countries?

Author: S. Osdoit, Edgar Badell, Jacques Schrenzel, Julie Toubiana, O. Belmonte, Chloé Alberto, K. Bagny, Sylvain Brisse, A.-P. Villani, L. Bellec, Geneva University Hospital (HUG), Felix Guyon university hospital [Saint-Denis, Reunion], Hôpital Edouard Herriot [CHU - HCL], Hospices Civils de Lyon (HCL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Biodiversité et Epidémiologie des Bactéries pathogènes - Biodiversity and Epidemiology of Bacterial Pathogens, Institut Pasteur [Paris], Centre national de Référence des Corynebactéries du Complexe Diphtheriae - National Reference Center Corynebacteria of the diphtheriae complex (CNR), and Institut Pasteur [Paris] (IP)
Subjects: Adult, Cutaneous diphtheria, medicine.medical_specialty, [SDV]Life Sciences [q-bio], Dermatology, complex mixtures, 030207 dermatology & venereal diseases, 03 medical and health sciences, 0302 clinical medicine, Skin Ulcer, medicine, Humans, Pathogen, Indian Ocean, Ulcer, Skin, Corynebacterium diphtheriae, Diphtheria toxin, ddc:616, biology, business.industry, Transmission (medicine), Diphtheria, medicine.disease, biology.organism_classification, medicine.icd_9_cm_classification, Pharyngitis, 3. Good health, Vaccination, Cutaneous ulcers, medicine.symptom, business
Abstract: International audience; Introduction: Diphtheria due to Corynebacteriumdiphtheriae (C. diphtheriae) has become rare in developed countries. In France only 10 cases of toxigenic diphtheria have been reported since 1989, in all cases causing pharyngitis and all emanating from endemic countries with exception of one contact case. We report herein 13 cases with cutaneous diphtheria, in 5 of which diphtheria toxin was produced, and all imported into France between 2015 and 2018.Observations: Thirteen patients aged 4 to 77 years presented painful and rapidly progressive round ulcerations of the legs, that were superficial and in some cases purulent, with an erythematous-purple border covered with greyish membrane. Bacteriological sampling of ulcers revealed the presence of C. diphtheriae. Only 6 patients had been properly immunized over the preceding 5 years.Discussion: These cases underline the resurgence of cutaneous diphtheria and the circulation of toxigenic strains in France following importation from Indian Ocean countries. This may constitute an important reservoir for ongoing transmission of the disease. Re-emergence of this pathogen stems from the current migratory flow and decreased adult booster coverage.Conclusion: Cutaneous diphtheria should be considered in cases of rapidly developing painful skin ulcers with greyish membrane, especially among patients returning from endemic areas, regardless of their vaccination status. The clinician should order specific screening for C. diphtheriae from the bacteriologist, since with routine swabbing Corynebacteriaceae may be reported simply as normal skin flora. Vaccination protects against toxigenic manifestations but not against actual bacterial infection. Early recognition and treatment of cutaneous diphtheria and up-to-date vaccination are mandatory to avoid further transmission and spread of both cutaneous and pharyngeal diphtheria.
Published: 2019
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