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2. Development and validation of a pre-hospital “Red Flag” alert for activation of intra-hospital haemorrhage control response in blunt trauma

Author

Hamada, Sophie Rym, Rosa, Anne, Gauss, Tobias, Desclefs, Jean-Philippe, Raux, Mathieu, Harrois, Anatole, Follin, Arnaud, Cook, Fabrice, Boutonnet, Mathieu, the Traumabase® Group, Attias, Arie, Ausset, Sylvain, Dhonneur, Gilles, Langeron, Olivier, Paugam-Burtz, Catherine, Pirracchio, Romain, Riou, Bruno, de St Maurice, Guillaume, Vigué, Bernard, Rouquette, Alexandra, and Duranteau, Jacques

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Hematology, Clinical Research, Physical Injury - Accidents and Adverse Effects, Good Health and Well Being, Adult, Blood Transfusion, Chi-Square Distribution, Cohort Studies, Emergency Medical Services, Female, Hemorrhage, Humans, Injury Severity Score, Lactic Acid, Male, Middle Aged, Paris, Prospective Studies, ROC Curve, Registries, Retrospective Studies, Simplified Acute Physiology Score, Statistics, Nonparametric, Wounds, Nonpenetrating, Traumabase® Group, Anticipation, Organization, Protocol, Severe haemorrhage, Severe trauma, Medical and Health Sciences, Emergency & Critical Care Medicine, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundHaemorrhagic shock is the leading cause of early preventable death in severe trauma. Delayed treatment is a recognized prognostic factor that can be prevented by efficient organization of care. This study aimed to develop and validate Red Flag, a binary alert identifying blunt trauma patients with high risk of severe haemorrhage (SH), to be used by the pre-hospital trauma team in order to trigger an adequate intra-hospital standardized haemorrhage control response: massive transfusion protocol and/or immediate haemostatic procedures.MethodsA multicentre retrospective study of prospectively collected data from a trauma registry (Traumabase®) was performed. SH was defined as: packed red blood cell (RBC) transfusion in the trauma room, or transfusion ≥ 4 RBC in the first 6 h, or lactate ≥ 5 mmol/L, or immediate haemostatic surgery, or interventional radiology and/or death of haemorrhagic shock. Pre-hospital characteristics were selected using a multiple logistic regression model in a derivation cohort to develop a Red Flag binary alert whose performances were confirmed in a validation cohort.ResultsAmong the 3675 patients of the derivation cohort, 672 (18%) had SH. The final prediction model included five pre-hospital variables: Shock Index ≥ 1, mean arterial blood pressure ≤ 70 mmHg, point of care haemoglobin ≤ 13 g/dl, unstable pelvis and pre-hospital intubation. The Red Flag alert was triggered by the presence of any combination of at least two criteria. Its predictive performances were sensitivity 75% (72-79%), specificity 79% (77-80%) and area under the receiver operating characteristic curve 0.83 (0.81-0.84) in the derivation cohort, and were not significantly different in the independent validation cohort of 2999 patients.ConclusionThe Red Flag alert developed and validated in this study has high performance to accurately predict or exclude SH.

Published
2018

4. Clinical outcome of wild-type AmpC-producing Enterobacterales infection in critically ill patients treated with β-lactams: a prospective multicenter study

Author

Mounier, Roman, Le Guen, Ronan, Woerther, Paul-Louis, Nacher, Mathieu, Bonnefon, Clément, Mongardon, Nicolas, Langeron, Olivier, Levesque, Eric, Couffin, Séverine, Houcke, Stéphanie, Wolff, Michel, Roujansky, Ariane, Schimpf, Caroline, Mekontso Dessap, Armand, Cook, Fabrice, Razazi, Keyvan, and Kallel, Hatem

Published
2022
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5. The hip fracture surgery in elderly patients (HIPELD) study to evaluate xenon anaesthesia for the prevention of postoperative delirium: a multicentre, randomized clinical trial

Author

Coburn, M, Sanders, RD, Maze, M, Nguyên-Pascal, M-L, Rex, S, Garrigues, B, Carbonell, JA, Garcia-Perez, ML, Stevanovic, A, Kienbaum, P, Neukirchen, M, Schaefer, MS, Borghi, B, van Oven, H, Tognù, A, Tmimi, L Al, Eyrolle, L, Langeron, O, Capdevila, X, Arnold, GM, Schaller, M, Rossaint, R, Investigators, HIPELD Study, Coburn, Mark, Rossaint, Rolf, Stevanovic, Ana, Stoppe, Christian, Fahlenkamp, Astrid, Felzen, Marc, Knobe, Mathias, Sanders, Robert D, Maze, Mervyn, Nguyên-Pascal, My-Liên, Schaller, Manuella, Garrigues, Beatriz, Carbonell, José Antonio, Garcia-Perez, Marisa Luisa, Belda, Francisco J, Soro, Marina, Ferrando, C, León, Irene, Hernadez, J, Borghi, Battista, van Oven, Hanna, Tognù, Andrea, Guglielmetti, Aurora, Rossi, Barbara, Fini, Greta, Gallerani, Pina, Kienbaum, Peter, Neukirchen, Martin, Schaefer, Maximilian Sebastian, Bastin, Bea, Kuschka, Dina, Eisenach, Thorsten, Gaza, Nina, Rex, Steffen, tmimi, Layth Al, Devroe, Sarah, Van de Velde, Marc, Eyrolle, Luc, Jacquinot, Patrick, Rosencher, Nadia, Langeron, Olivier, Roche, Sabine, Paries, Marie, Capdevila, Xavier, Arnold, Glenn, Graham, Benjamin, Doyle, Patrick, Albaladejo, P, Minville, Vincent, Ferré, Fabrice, and Kunitz, Oliver

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Mental Health, Patient Safety, Physical Injury - Accidents and Adverse Effects, Osteoporosis, Clinical Research, Rehabilitation, Clinical Trials and Supportive Activities, Aging, 6.4 Surgery, 6.1 Pharmaceuticals, Evaluation of treatments and therapeutic interventions, Aged, Aged, 80 and over, Anesthesia, Inhalation, Anesthetics, Inhalation, Emergence Delirium, Female, Hip Fractures, Humans, Incidence, Male, Orthopedic Procedures, Prospective Studies, Sevoflurane, Treatment Outcome, Xenon, anaesthesia, general, aged, delirium, hip fractures, xenon, HIPELD Study Investigators, anaesthesia, general, Anesthesiology, Clinical sciences
Abstract

BACKGROUND:Postoperative delirium occurs frequently in elderly hip fracture surgery patients and is associated with poorer overall outcomes. Because xenon anaesthesia has neuroprotective properties, we evaluated its effect on the incidence of delirium and other outcomes after hip fracture surgery. METHODS:This was a phase II, multicentre, randomized, double-blind, parallel-group, controlled clinical trial conducted in hospitals in six European countries (September 2010 to October 2014). Elderly (≥75yr-old) and mentally functional hip fracture patients were randomly assigned 1:1 to receive either xenon- or sevoflurane-based general anaesthesia during surgery. The primary outcome was postoperative delirium diagnosed through postoperative day 4. Secondary outcomes were delirium diagnosed anytime after surgery, postoperative sequential organ failure assessment (SOFA) scores, and adverse events (AEs). RESULTS:Of 256 enrolled patients, 124 were treated with xenon and 132 with sevoflurane. The incidence of delirium with xenon (9.7% [95% CI: 4.5 -14.9]) or with sevoflurane (13.6% [95% CI: 7.8 -19.5]) were not significantly different (P=0.33). Overall SOFA scores were significantly lower with xenon (least-squares mean difference: -0.33 [95% CI: -0.60 to -0.06]; P=0.017). For xenon and sevoflurane, the incidence of serious AEs and fatal AEs was 8.0% vs 15.9% (P=0.05) and 0% vs 3.8% (P=0.06), respectively. CONCLUSIONS:Xenon anaesthesia did not significantly reduce the incidence of postoperative delirium after hip fracture surgery. Nevertheless, exploratory observations concerning postoperative SOFA-scores, serious AEs, and deaths warrant further study of the potential benefits of xenon anaesthesia in elderly hip fracture surgery patients. CLINICAL TRIAL REGISTRATION:EudraCT 2009-017153-35; ClinicalTrials.gov NCT01199276.

Published
2018

6. Lung Ultrasound Score on Postoperative Day 1 Is Predictive of the Occurrence of Pulmonary Complications after Major Abdominal Surgery: A Multicenter Prospective Observational Study

Author

Boussier, Jeremy, primary, Lemasle, Aymeric, additional, Hantala, Nicolas, additional, Scatton, Olivier, additional, Vaillant, Jean-Christophe, additional, Paye, François, additional, Langeron, Olivier, additional, Lescot, Thomas, additional, Quesnel, Christophe, additional, Verdonk, Franck, additional, Eyraud, Daniel, additional, Sitbon, Alexandre, additional, Delorme, Louis, additional, and Monsel, Antoine, additional

Published
2023
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8. Assessment of remifentanil for rapid sequence induction and intubation in patients at risk of pulmonary aspiration of gastric contents compared to rapid-onset paralytic agents: study protocol for a non-inferiority simple blind randomized controlled trial (the REMICRUSH study)

Author

Grillot, Nicolas, Garot, Matthias, Lasocki, Sigismond, Huet, Olivier, Bouzat, Pierre, Le Moal, Charlène, Oudot, Mathieu, Chatel-Josse, Nolwenn, El Amine, Younes, Danguy des Déserts, Marc, Bruneau, Nathalie, Cinotti, Raphael, David, Jean-Stéphane, Langeron, Olivier, Minville, Vincent, Tching-Sin, Martine, Faurel-Paul, Elodie, Lerebourg, Céline, Flattres-Duchaussoy, Delphine, Jobert, Alexandra, Asehnoune, Karim, Feuillet, Fanny, and Roquilly, Antoine

Published
2021
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9. Complete percutaneous angio-guided approach using preclosing for venoarterial extracorporeal membrane oxygenation implantation and explantation in patients with refractory cardiogenic shock or cardiac arrest

Author

Martin-Tuffreau, Anne-Sophie, Bagate, François, Boukantar, Madjid, Saiydoun, Gabriel, Mangiameli, Andrea, Rostain, Laura, Mouillet, Gauthier, Fiore, Antonio, Langeron, Olivier, Mekontso-Dessap, Armand, Mongardon, Nicolas, Folliguet, Thierry, Teiger, Emmanuel, and Gallet, Romain

Published
2021
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10. Effect of early use of noradrenaline on in-hospital mortality in haemorrhagic shock after major trauma: a propensity-score analysis

Author

Attias, Arie, Ausset, Sylvain, Boutonnet, Mathieu, Dhonneur, Gilles, Duranteau, Jacques, Langeron, Olivier, Mantz, Jean, Paugam-Burtz, Catherine, Pirracchio, Romain, Riou, Bruno, de St Maurice, Guillaume, Vigué, Bernard, Bertho, Kilian, Chollet-Xemard, Charlotte, Dolveck, François, Michelland, Laurianne, Reuter, Paul-Georges, Ricard-Hibon, Agnès, Richard, Olivier, Sapir, David, Vivien, Benoît, Gauss, T., Gayat, E., Harrois, A., Raux, M., Follin, A., Daban, J.-L., Cook, F., and Hamada, S.

Published
2018
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15. Proceedings of Réanimation 2017, the French Intensive Care Society International Congress

Author

Kamilia, Chtara, Regaieg, Kais, Baccouch, Najeh, Chelly, Hedi, Bahloul, Mabrouk, Bouaziz, Mounir, Jendoubi, Ali, Abbes, Ahmed, Belhaouane, Houda, Nasri, Oussama, Jenzri, Layla, Ghedira, Salma, Houissa, Mohamed, Belkadi, Kamal, Harti, Youness, Nsiri, Afak, Khaleq, Khalid, Hamoudi, Driss, Harrar, Rachid, Thieffry, Camille, Wallet, Frédéric, Parmentier-Decrucq, Erika, Favory, Raphaël, Mathieu, Daniel, Poissy, Julien, Lafon, Thomas, Vignon, Philippe, Begot, Emmanuelle, Appert, Alexandra, Hadj, Mathilde, Claverie, Paul, Matt, Morgan, Barraud, Olivier, François, Bruno, Jamoussi, Amira, Jazia, Amira Ben, Marhbène, Takoua, Lakhdhar, Dhouha, Khelil, Jalila Ben, Besbes, Mohamed, Goutay, Julien, Blazejewski, Caroline, Joly-Durand, Isabelle, Pirlet, Isabelle, Weillaert, Marie Pierre, Beague, Sebastien, Aziz, Soufi, Hafiane, Reda, Hattabi, Khalid, Bouhouri, Mohamed Aziz, Hammoudi, Driss, Fadil, Abdelaziz, Harrar, Rachid Al, Zerouali, Khalid, Medhioub, Fatma Kaaniche, Allela, Rania, Algia, Najla Ben, Cherif, Samar, Slaoui, Mohamed Taoufik, Boubia, Souhail, Hafiani, Y., Khaoudi, A., Cherkab, R., Elallam, W., Elkettani, C., Barrou, L., Ridaii, M., Mehdi, Rihi El, Schimpf, Caroline, Mizrahi, Assaf, Pilmis, Benoît, Le Monnier, Alban, Tiercelet, Kelly, Cherin, Mélanie, Bruel, Cédric, Philippart, Francois, Bailly, Sébastien, Lucet, Jc, Lepape, Alain, L’hériteau, François, Aupée, Martine, Bervas, Caroline, Boussat, Sandrine, Berger-Carbonne, Anne, Machut, Anaïs, Savey, Anne, Timsit, Jean-François, Razazi, Keyvan, Rosman, Jérémy, de Prost, Nicolas, Carteaux, Guillaume, Jansen, Chloe, Decousser, Jean Winoc, Brun-Buisson, Christian, Dessap, Armand Mekontso, M’rad, Aymen, Ouali, Zouhour, Barghouth, Manel, Kouatchet, Achille, Mahieu, Rafael, Weiss, Emmanuel, Schnell, David, Zahar, Jean-Ralph, Artiguenave, Margaux, Sophie, Paktoris-Papine, Espinasse, Florence, Sayed, Faten El, Dinh, Aurélien, Charron, Cyril, Geri, Guillaume, Vieillard-Baron, Antoine, Repessé, Xavier, Kallel, Hatem, Mayence, Claire, Houcke, Stéphanie, Guegueniat, Pascal, Hommel, Didier, Dhifaoui, Kaouther, Hajjej, Zied, Fatnassi, Amira, Sellami, Walid, Labbene, Iheb, Ferjani, Mustapha, Dachraoui, Fahmi, Nakkaa, Sabrine, M’ghirbi, Abdelwaheb, Adhieb, Ali, Braiek, Dhouha Ben, Hraiech, Kmar, Ousji, Ali, Ouanes, Islem, Zaineb, Hammouda, Abdallah, Saousen Ben, Ouanes-Besbes, Lamia, Abroug, Fekri, Klein, Simon, Miquet, Mattéo, Thouret, Jean-Marc, Peigne, Vincent, Daban, Jean-Louis, Boutonnet, Mathieu, Lenoir, Bernard, Merhbene, Takoua, Derreumaux, Celine, Seguin, Thierry, Conil, Jean-Marie, Kelway, Charlotte, Blasco, Valery, Nafati, Cyril, Harti, Karim, Reydellet, Laurent, Albanese, Jacques, Aicha, Narjess Ben, Meddeb, Khaoula, Khedher, Ahmed, Ayachi, Jihene, Fraj, Nesrine, Sma, Nesrine, Chouchene, Imed, Boussarsar, Mohamed, Yedder, Soumaya Ben, Samoud, Walid, Radhouene, Bousselmi, Mariem, Bousselmi, Ammar, Asma, Cheikh, Asma Ben, Lakhal, Hend Ben, Khelfa, Messaouda, Hamdaoui, Yamina, Bouafia, Nabiha, Trampont, Timothée, Daix, Thomas, Legarçon, Vincent, Karam, Henri Hani, Pichon, Nicolas, Essafi, Fatma, Foudhaili, Nasreddine, Thabet, Hafedh, Blel, Youssef, Brahmi, Nozha, Ezzouine, Hanane, Kerrous, Mahmoud, Haoui, Saad El, Ahdil, Soufiane, Benslama, Abdellatif, Abidi, Khalid, Dendane, Tarek, Oussama, Ssouni, Belayachi, Jihane, Madani, Naoufal, Abouqal, Redouane, Zeggwagh, Amine Ali, Ghadhoune, Hatem, Chaari, Anis, Jihene, Guissouma, Allouche, Hend, Trabelsi, Insaf, Brahmi, Habib, Samet, Mohamed, Ghord, Hatem El, Habiba, Ben Sik Ali, Hajer, Nouira, Tilouch, Najla, Yaakoubi, Sondes, Jaoued, Oussama, Gharbi, Rim, Hassen, Mohamed Fekih, Elatrous, Souheil, Arcizet, Julien, Leroy, Bertrand, Abdulmalack, Caroline, Renzullo, Catherine, Hamet, Maël, Doise, Jean-Marc, Coutet, Jérôme, Cheikh, Chaigar Mohammed, Quechar, Zakaria, Joris, Magalie, Beauport, Dimitri Titeca, Kontar, Loay, Lebon, Delphine, Gruson, Bérengère, Slama, Michel, Marolleau, Jean-Pierre, Maizel, Julien, Gorham, Julie, Ameye, Lieveke, Berghmans, Thierry, Paesmans, Marianne, Sculier, Jean-Paul, Meert, Anne-Pascale, Guillot, Max, Ledoux, Marie-Pierre, Braun, Thierry, Maestraggi, Quentin, Michard, Baptiste, Castelain, Vincent, Herbrecht, Raoul, Schneider, Francis, Couffin, Severine, Lobo, David, Mongardon, Nicolas, Dhonneur, Gilles, Mounier, Roman, Le Borgne, Pierrick, Couraud, Sophie, Herbrecht, Jean-Etienne, Boivin, Alexandra, Lefebvre, François, Bilbault, Pascal, Zelmat, Setti-Aouicha, Batouche, Djamila-Djahida, Mazour, Fatima, Chaffi, Belkacem, Benatta, Nadia, Sik, Ali Habiba, Talik, I., Perrier, Maxime, Gouteix, Eliane, Koubi, Claude, Escavy, Annabelle, Guilbaut, Victoria, Fosse, Jean-Philippe, Jazia, Rahma Ben, Abdelghani, Ahmed, Cungi, Pierre-Julien, Bordes, Julien, Nguyen, Cédric, Pierrou, Candice, Cruc, Maximilien, Benois, Alain, Duprez, Frédéric, Bonus, Thierry, Cuvelier, Grégory, Ollieuz, Sandra, Machayekhi, Sharam, Paciorkowski, Frédéric, Reychler, Gregory, Coudroy, Remi, Thille, Arnaud W., Drouot, Xavier, Diaz, Véronique, Meurice, Jean-Claude, Robert, René, Turki, Olfa, Ben, Hmida Chokri, Assefi, Mona, Deransy, Romain, Brisson, Hélène, Monsel, Antoine, Conti, Filomena, Scatton, Olivier, Langeron, Olivier, Ghezala, Hassen Ben, Snouda, Salah, Ben, Chiekh Imen, Kaddour, Moez, Armel, Anwar, Youness, Lafrikh, Abdelhak, Bensaid, Youssef, Miloudi, Najib, Al Harrar, Mustapha, Amouzoun, Noufel, Mtioui, Mohamed, Zamd, Salma, El Khayat, Ghizlane, Medkouri, Mohamed, Benghanam, Benyounes, Ramdani, Montini, Florent, Moschietto, Sébastien, Gregoire, Emilien, Claisse, Guillaume, Guiot, Julien, Morimont, Philippe, Krzesinski, Jean-Marie, Mariat, Christophe, Lambermont, Bernard, Cavalier, Etienne, Delanaye, Pierre, Benbernou, Soumia, Ilies, Sofiane, Azza, Abdelkader, Bouyacoub, Khalida, Louail, Meriem, Mokhtari-Djebli, Houria, Arrestier, Romain, Daviaud, Fabrice, Francois, Xavier Laborne, Brocas, Elsa, Choukroun, Gérald, Peñuelas, Oscar, Lorente, José-Angel, Cardinal-Fernandez, Pablo, Rodriguez, José-Maria, Aramburu, José-Antonio, Esteban, Andres, Frutos-Vivar, Fernando, Bitker, Laurent, Costes, Nicolas, Le Bars, Didier, Lavenne, Franck, Devouassoux, Mojgan, Richard, Jean-Christophe, Mechati, Malika, Gainnier, Marc, Papazian, Laurent, Guervilly, Christophe, Garnero, Aude, Arnal, Jean Michel, Roze, Hadrien, Richard, Jean Christophe, Repusseau, Benjamin, Dewitte, Antoine, Joannes-Boyau, Olivier, Ouattara, Alexandre, Harbouze, Nadia, Amine, A. M., Olandzobo, A. G., Herbland, Alexandre, Richard, Marie, Girard, Nicolas, Lambron, Lucile, Lesieur, Olivier, Wainschtein, Sarah, Hubert, Sidonie, Hugues, Albane, Tran, Marc, Bouillard, Philippe, Loteanu, Vlad, Leloup, Maxime, Laurent, Alexandra, Lheureux, Florent, Prestifilippo, Alessia, Cruz, Martin Delgado Maria, Romain, Rigal, Antonelli, Massimo, Blanch, Torra Lluis, Bonnetain, Franck, Grazzia-Bocci, Maria, Mancebo, Jordi, Samain, Emmanuel, Paul, Hebert, Capellier, Gilles, Zavgorodniaia, Taissa, Soichot, Marion, Malissin, Isabelle, Voicu, Sebastian, Garçon, Pierre, Goury, Antoine, Kerdjana, Lamia, Deye, Nicolas, Bourgogne, Emmanuel, Megarbane, Bruno, Mejri, Olfa, Hmida, Marwa Ben, Tannous, Salma, Chevillard, Lucie, Labat, Laurence, Risede, Patricia, Fredj, Hana, Léger, Maxime, Brunet, Marion, Le Roux, Gaël, Boels, David, Lerolle, Nicolas, Farah, Souaad, Amiel-Niemann, Hélène, Kubis, Nathalie, Declèves, Xavier, Peyraux, Nicoals, Baud, Frederic, Serafini, Micaela, Alvarez, Jean-Claude, Heinzelman, Annette, Jozwiak, Mathieu, Millasseau, Sandrine, Teboul, Jean-Louis, Alphonsine, Jean-Emmanuel, Depret, François, Richard, Nathalie, Attal, Pierre, Richard, Christian, Monnet, Xavier, Chemla, Denis, Jerbi, Salma, Khedhiri, Wafa, Necib, Hatem, Scarfo, Paolo, Chevalier, Charles, Piagnerelli, Michael, Lafont, Alexandre, Galy, Antoine, Mancia, Claire, Zerhouni, Amel, Tabeliouna, Kheira, Gaja, Ali, Hamrouni, Bassem, Malouch, Abir, Fourati, Sami, Messaoud, Rihab, Zarrouki, Youssef, Ziadi, Amra, Rhezali, Manal, Zouizra, Zahira, Boumzebra, Drissi, Samkaoui, Mohamed Abdennasser, Brunet, Jennifer, Canoville, Bertrand, Verrier, Pierre, Ivascau, Calin, Seguin, Amélie, Valette, Xavier, Du Cheyron, Damien, Daubin, Cedric, Bougouin, Wulfran, Aissaoui, Nadia, Lamhaut, Lionel, Jost, Daniel, Maupain, Carole, Beganton, Frankie, Bouglé, Adrien, Dumas, Florence, Marijon, Eloi, Jouven, Xavier, Cariou, Alain, Poirson, Florent, Chaput, Ulriikka, Beeken, Thomas, Maxime, Leclerc, Haikel, Oueslati, Vodovar, Dominique, Chelly, Jonathan, Marteau, Philippe, Chocron, Richard, Juvin, Philippe, Loeb, Thomas, Adnet, Frederic, Lecarpentier, Eric, Riviere, Antoine, De Cagny, Bertand, Soupison, Thierry, Privat, Elodie, Escutnaire, Joséphine, Dumont, Cyrielle, Baert, Valentine, Vilhelm, Christian, Hubert, Hervé, Leteurtre, Stéphane, Fresco, Marion, Bubenheim, Michael, Beduneau, Gaetan, Carpentier, Dorothée, Grange, Steven, Artaud-Macari, Elise, Misset, Benoit, Tamion, Fabienne, Girault, Christophe, Dumas, Guillaume, Chevret, Sylvie, Lemiale, Virginie, Mokart, Djamel, Mayaux, Julien, Pène, Frédéric, Nyunga, Martine, Perez, Pierre, Moreau, Anne-Sophie, Bruneel, Fabrice, Vincent, François, Klouche, Kada, Reignier, Jean, Rabbat, Antoine, Azoulay, Elie, Frat, Jean-Pierre, Ragot, Stéphanie, Constantin, Jean-Michel, Prat, Gwenael, Mercat, Alain, Boulain, Thierry, Demoule, Alexandre, Devaquet, Jérôme, Nseir, Saad, Charpentier, Julien, Argaud, Laurent, Beuret, Pascal, Ricard, Jean-Damien, Teiten, Christelle, Marjanovic, Nicolas, Palamin, Nicola, L’Her, Erwan, Bailly, Arthur, Boisramé-Helms, Julie, Champigneulle, Benoit, Kamel, Toufik, Mercier, Emmanuelle, Le Thuaut, Aurélie, Lascarrou, Jean-Baptiste, Rolle, Amélie, De Jong, Audrey, Chanques, Gérald, Jaber, Samir, Hariri, Geoffroy, Baudel, Jean-Luc, Dubée, Vincent, Preda, Gabriel, Bourcier, Simon, Joffre, Jeremie, Bigé, Naïke, Ait-Oufella, Hafid, Maury, Eric, Mater, Houda, Merdji, Hamid, Grimaldi, David, Rousseau, Christophe, Mira, Jean-Paul, Chiche, Jean-Daniel, Sedghiani, Ines, Benabderrahim, A., Hamdi, Dhekra, Jendoubi, Asma, Cherif, Mohamed Ali, Hechmi, Youssef Zied El, Zouheir, Jerbi, Bagate, François, Bousselmi, Radhwen, Schortgen, Frédérique, Asfar, Pierre, Guérot, Emmanuel, Fabien, Grelon, Anguel, Nadia, Sigismond, Lasocki, Matthieu, Henry-Lagarrigue, Gonzalez, Frédéric, François, Legay, Guitton, Christophe, Schenck, Maleka, Jean-Marc, Doise, Dreyfuss, Didier, Radermacher, Peter, Frère, Antoine, Martin-Lefèvre, Laurent, Colin, Gwenhaël, Fiancette, Maud, Henry-Laguarrigue, Matthieu, Lacherade, Jean-Claude, Lebert, Christine, Vinatier, Isabelle, Yehia, Aihem, Joret, Aurélie, Menunier-Beillard, Nicolas, Benzekri-Lefevre, Dalila, Desachy, Arnaud, Bellec, Fréderic, Plantefève, Gaëtan, Quenot, Jean-Pierre, Meziani, Ferhat, Tavernier, Elsa, Ehrmann, Stephan, Chudeau, Nicolas, Raveau, Tommy, Moal, Valérie, Houillier, Pascal, Rouve, Emmanuelle, Lakhal, Karim, Gandonnière, Charlotte Salmon, Jouan, Youenn, Bodet-Contentin, Laetitia, Balmier, Adrien, Messika, Jonathan, De Montmollin, Etienne, Pouyet, Victorine, Sztrymf, Benjamin, Thiagarajah, Abirami, Roux, Damien, De Chambrun, Marc Pineton, Luyt, Charles-Edouard, Beloncle, François, Zapella, Nathalie, Ledochowsky, Stanislas, Terzi, Nicolas, Mazou, Jean-Marc, Sonneville, Romain, Paulus, Sylvie, Fedun, Yannick, Landais, Mickael, Raphalen, Jean-Herlé, Combes, Alain, Amoura, Zahir, Jacquemin, Aemilia, Guerrero, Felipe, Marcheix, Bertrand, Hernandez, Nicolas, Fourcade, Olivier, Georges, Bernard, Delmas, Clément, Makoudi, Sarah, Genton, Audrey, Bernard, Rémy, Lebreton, Guillaume, Amour, Julien, Mazet, Charlotte, Bounes, Fanny, Murat, Gurbuz, Cronier, Laure, Robin, Guillaume, Biendel, Caroline, Silva, Stein, Boubeche, Samia, Abriou, Caroline, Wurtz, Véronique, Scherrer, Vincent, Rey, Nathalie, Gastaldi, Gioia, Veber, Benoit, Doguet, Fabien, Gay, Arnaud, Dureuil, Bertrand, Besnier, Emmanuel, Rouget, Antoine, Gantois, Guillaume, Magalhaes, Eric, Wanono, Ruben, Smonig, Roland, Lermuzeaux, Mathilde, Lebut, Jordane, Olivier, Andremont, Dupuis, Claire, Radjou, Aguila, Mourvillier, Bruno, Neuville, Mathilde, D’ortho, Marie Pia, Bouadma, Lila, Rouvel-Tallec, Anny, Rudler, Marika, Weiss, Nicolas, Perlbarg, Vincent, Galanaud, Damien, Thabut, Dominique, Rachdi, Emna, Mhamdi, Ghada, Trifi, Ahlem, Abdelmalek, Rim, Abdellatif, Sami, Daly, Foued, Nasri, Rochdi, Tiouiri, Hanene, Lakhal, Salah Ben, Rousseau, Geoffroy, Asmolov, Romain, Grammatico-Guillon, Leslie, Auvet, Adrien, Laribi, Said, Garot, Denis, Dequin, Pierre François, Guillon, Antoine, Fergé, Jean-Louis, Abgrall, Gwénolé, Hinault, Ronan, Vally, Shazima, Roze, Benoit, Chaplain, Agathe, Chabartier, Cyrille, Savidan, Anne-Charlotte, Marie, Sabia, Cabie, Andre, Resiere, Dabor, Valentino, Ruddy, Mehdaoui, Hossein, Benarous, Lucas, Soda-Diop, Marième, Bouzana, Fouad, Perrin, Gilles, Bourenne, Jeremy, Eon, Béatrice, Lambert, Dominique, Trebuchon, Agnes, Poncelet, Géraldine, Le Bourgeois, Fleur, Michael, Levy, Camille, Guillot, Naudin, Jérôme, Deho, Anna, Dauger, Stéphane, Sauthier, Michaël, Bergeron-Gallant, Krystale, Emeriaud, Guillaume, Jouvet, Philippe, Tiebergien, Nicolas, Jacquet-Lagrèze, Matthias, Fellahi, Jean-Luc, Baudin, Florent, Essouri, Sandrine, Javouhey, Etienne, Guérin, Claude, Lampin, Marie, Mamouri, Ouardia, Devos, Patrick, Karaca-Altintas, Yasemin, Vinchon, Matthieu, Brossier, David, Eltaani, Redha, Teyssedre, Sonia, Sabine, Meyet, Bouchut, Jean-Christophe, Peguet, Olivier, Petitdemange, Lucie, Guilbert, Anne Sophie, Aoul, Nabil Tabet, Addou, Zakaria, Aouffen, Nabil, Anas, Benqqa, Kalouch, Samira, Yaqini, Khalid, Chlilek, Aziz, Abdou, Rchi, Gravellier, Perrine, Chantreuil, Julie, Travers, Nadine, Listrat, Antoine, Le Reun, Claire, Favrais, Geraldine, Coppere, Zoe, Blanot, Stéphane, Montmayeur, Juliette, Bronchard, Régis, Rolando, Stephane, Orliaguet, Gilles, Leger, Pierre-Louis, Rambaud, Jérôme, Thueux, Emilie, De Larrard, Alexandra, Berthelot, Véronique, Denot, Julien, Reymond, Marie, Amblard, Alain, Morin-Zorman, Sarah, Lengliné, Etienne, Pichereau, Claire, Mariotte, Eric, Emmanuel, Canet, Poujade, Julien, Trumpff, Guillaume, Janssen-Langenstein, Ralf, Harlay, Marie-Line, Zaid, Noorah, Ait-Ammar, Nawel, Bonnal, Christine, Merle, Jean-Claude, Botterel, Francoise, Levesque, Eric, Riad, Zakaria, Mezidi, Mehdi, Yonis, Hodane, Aublanc, Mylène, Perinel-Ragey, Sophie, Lissonde, Floriane, Louf-Durier, Aurore, Tapponnier, Romain, Louis, Bruno, Forel, Jean-Marie, 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Rafaa, Kouraichi, Nadia, Jouet, Emilie, Badin, Julie, Fermier, Brice, Feller, Marc, Serie, Mathieu, Pillot, Jérôme, Marie, William, Gisbert-Mora, Chloé, Vinclair, Camille, Lesbordes, Pierre, Mathieu, Pascal, De Brabant, Fabienne, Muller, Emmanuel, Robaux, Marie-Aline, Giabicani, Mikhael, Marchalot, Antoine, Gelinotte, Stéphanie, Declercq, Pierre Louis, Eraldi, Jean-Pierre, Bougerol, François, Meunier-Beillard, Nicolas, Devilliers, Hervé, Rigaud, Jean-Philippe, Verrière, Camille, Ardisson, Fanny, Kentish-Barnes, Nancy, Jacq, Gwenaëlle, Chermak, Akli, Lautrette, Alexandre, Legrand, Matthieu, Soummer, Alexis, Thiery, Guillaume, Cottereau, Alice, Canet, Emmanuel, Caujolle, Marie, Allyn, Jérôme, Valance, Dorothée, Brulliard, Caroline, Martinet, Olivier, Jabot, Julien, Gallas, Thomas, Vandroux, David, Allou, Nicolas, Durand, Arthur, Nevière, Rémi, Delguste, Florian, Boulanger, Eric, Preau, Sebastien, Martin, Ruste, Cochet, Hélène, Ponthus, Jean Pierre, Amilien, Virginie, Tchir, Martial, Barsam, Elise, Ayoub, Mohsen, Georger, Jean Francois, Guillame, Izaute, Assaraf, Julie, Tripon, Simona, Mallet, Maxime, Barbara, Guilaume, Louis, Guillaume, Gaudry, Stéphane, Barbarot, Nicolas, Jamet, Angéline, Outin, Hervé, Gibot, Sébastien, Bollaert, Pierre-Edouard, Holleville, Mathilde, Legriel, Stéphane, Chateauneuf, Anne Laure, Cavelot, Sébastien, Moyer, Jean-Denis, Bedos, Jean Pierre, Merle, Philippe, Laine, Aurelie, Natalie, De Sa, Cornuault, Mathieu, Libot, Jérome, Asehnoune, Karim, Rozec, Bertrand, Dantal, Jacques, Videcoq, Michel, Degroote, Thècle, Jaillette, Emmanuelle, Zerimech, Farid, Malika, Balduyck, Llitjos, Jean-François, Amara, Marlène, Lacave, Guillaume, Pangon, Béatrice, Mavinga, José, Makunza, Joseph Nsiala, Mafuta, M. E., Yanga, Yves, Eric, Amisi, Ilunga, Jp, Kilembe, Ma, Alby-Laurent, Fanny, Toubiana, Julie, Mokline, Amel, Laajili, Achraf, Amri, Helmi, Rahmani, Imene, Mensi, Nidhal, Gharsallah, Lazheri, Tlaili, Sofiene, Gasri, Bahija, Hammouda, Rym, Messadi, Amen Allah, Allain, Pierre-Antoine, Gault, Nathallie, Paugam-Burtz, Catherine, Foucrier, Arnaud, Chatbri, Bassem, Bourbiaa, Yousra, Thabet, Lamia, Neuschwander, Arthur, Vincent, Looten, Beck, Jennifer, Vibol, Chhor, Amelie, Yavchitz, Resche-Rigon, Matthieu, Pirracchio, Jean MantzRomain, Bureau, Côme, Decavèle, Maxens, Campion, Sébastien, Ainsouya, Roukia, Niérat, Marie-Cécile, Prodanovic, Hélène, Raux, Mathieu, Similowski, Thomas, Dubé, Bruno-Pierre, Demiri, Suela, Dres, Martin, May, Faten, Quintard, Hervé, Kounis, Ilias, Saliba, Faouzi, André, Stephane, Boudon, Marc, Ichai, Philippe, Younes, Aline, Nakad, Lionel, Coilly, Audrey, Antonini, Teresa, Sobesky, Rodolphe, De Martin, Eleonora, Samuel, Didier, Hubert, Noemie, Nay, Mai-Anh, Auchabie, Johann, Giraudeau, Bruno, Jean, Reignier, Darmon, Michaël, Ruckly, Stephane, Garrouste-Orgeas, Maïté, Gratia, Elisabeth, Goldgran-Toledano, Dany, Jamali, Samir, Dumenil, Anne Sylvie, Schwebel, Carole, Brisard, Laurent, Bizouarn, Philippe, Lepoivre, Thierry, Nicolet, Johanna, Rigal, Jean Christophe, Roussel, Jean Christian, Cheurfa, Cherifa, Abily, Julien, Lescot, Thomas, Page, Isaline, Warnier, Stéphanie, Nys, Monique, Rousseau, Anne-Françoise, Damas, Pierre, Uhel, Fabrice, Lesouhaitier, Mathieu, Grégoire, Murielle, Gaudriot, Baptiste, Gacouin, Arnaud, Le Tulzo, Yves, Flecher, Erwan, Tarte, Karin, Tadié, Jean-Marc, Georges, Quentin, Soares, M., Jeon, Kyeongman, Oeyen, Sandra, Rhee, Chin Kook, Gruber, Pascale, Ostermann, Marlies, Hill, Quentin, Depuydt, Peter, Ferra, Christelle, Muller, Alice, Aurelie, Bourmaud, Niles, Christopher, Herbert, Fabien, Pied, Sylviane, Loridant, Séverine, François, Nadine, Bignon, Anne, Sendid, Boualem, Lemaitre, Caroline, Dupre, Celine, Zayene, Aymen, Portier, Lucie, De Freitas Caires, Nathalie, Lassalle, Philippe, Le Neindre, Aymeric, Selot, Pascal, Ferreiro, Daniel, Bonarek, Maria, Henriot, Stépahen, Rodriguez, Julie, Taddei, Mara, Di Bari, Mauro, Hickmann, Cheryl, Castanares-Zapatero, Diego, Deldicque, Louise, Van Den Bergh, Peter, Caty, Gilles, Roeseler, Jean, Francaux, Marc, Laterre, Pierre-François, Dupuis, Bastien, Machayeckhi, Sharam, Sarfati, Celine, Moore, Alex, Mendialdua, Paula, Rodet, Emilie, Pilorge, Catherine, Stephan, Francois, Rezaiguia-Delclaux, Saida, Dugernier, Jonathan, Hesse, Michel, Jumetz, Thibaud, Bialais, Emilie, Depoortere, Virginie, Michotte, Jean Bernard, Wittebole, Xavier, Jamar, François, REA‑RAISIN Studygroup, OUTCOMEREA study group, Sudden Death Expertise Center, for the HYPER2S Investigators and REVA research network, Clinical Research in Intensive Care and Sepsis (CRICS network), Cubrea network, and Brain Liver Pitié-Salpêtrière Study Group (BLIPS)

Published
2017
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16. Association of Early Norepinephrine Administration With 24-Hour Mortality Among Patients With Blunt Trauma and Hemorrhagic Shock

Author

Gauss, Tobias, Richards, Justin, Tortù, Costanza, Ageron, François-Xavier, Hamada, Sophie, Josse, Julie, Husson, François, Harrois, Anatole, Scalea, Thomas, Vivant, Valentin, Meaudre, Eric, Morrison, Jonathan, Galvagno, Samue, Bouzat, Pierre, Albasini, François, Briot, Olivier, Chaboud, Laurent, Chateigner Coelsch, Sophie, Chaumat, Alexandre, Comlar, Thomas, Debas, Olivier, Debaty, Guillaume, Dupré-Nalet, Emmanuelle, Gay, Samuel, Ginestie, Edouard, Girard, Edouard, Grèze, Jules, Haesevoets, Marc, Hallain, Marie, Haller, Etienne, Hoareau, Christophe, Lanaspre, Bernard, Lespinasse, Safia, Levrat, Albrice, Mermillod-Blondin, Romain, Nicoud, Philippe, Rancurel, Elisabeth, Thouret, Jean-Marc, Vallenet, Claire, Vallot, Cécile, Zerr, Bénédicte, Abback, Paér-Sélim, Audibert, Gérard, Boutonnet, Mathieu, Clavier, Thomas, Cook, Fabrice, Eljamri, Mohamed, Floch, Thierry, Gaertner, Elisabeth, Garrigue, Delphine, Geeraerts, Thomas, Gette, Sebastien, Godier, Anne, Gosset, Pierre, Hanouz, Jean-Luc, Moyer, Jean-Denis, Langeron, Olivier, Leone, Marc, Pottecher, Julien, Portaz, Jonathan, Raux, Mathieu, Scotto, Marion, Willig, Mathieu, Hardy, Alexia, French Trauma Research Initiative, Albasini, F., Briot, O., Chaboud, L., Chateigner Coelsch, S., Chaumat, A., Comlar, T., Debas, O., Debaty, G., Dupré-Nalet, E., Gay, S., Ginestie, E., Girard, E., Grèze, J., Haesevoets, M., Hallain, M., Haller, E., Hoareau, C., Lanaspre, B., Lespinasse, S., Levrat, A., Mermillod-Blondin, R., Nicoud, P., Rancurel, E., Thouret, J.M., Vallenet, C., Vallot, C., Zerr, B., Abback, P.S., Audibert, G., Boutonnet, M., Clavier, T., Cook, F., Eljamri, M., Floch, T., Gaertner, E., Garrigue, D., Geeraerts, T., Gette, S., Godier, A., Gosset, P., Hanouz, J.L., Moyer, J.D., Langeron, O., Leone, M., Pottecher, J., Portaz, J., Raux, M., Scotto, M., Willig, M., Hardy, A., Hôpital Beaujon [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Hôpital d'Annecy, Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Inria-SIC [Sophia Antipolis], Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Institut Desbrest de santé publique (IDESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Médecine de précision par intégration de données et inférence causale (PREMEDICAL), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut Desbrest de santé publique (IDESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Institut de Recherche Mathématique de Rennes (IRMAR), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École normale supérieure - Rennes (ENS Rennes)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut Agro Rennes Angers, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Hôpital Bicêtre, Université Paris-Saclay, Hôpital d'Instruction des Armées Sainte Anne, Service de Santé des Armées, École du Val de Grâce (EVDG), CHU Grenoble, [GIN] Grenoble Institut des Neurosciences (GIN), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA), Hopital Saint-Jean-de-Maurienne, Laboratoire Charles Coulomb (L2C), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), and ANR-11-LABX-0020,LEBESGUE,Centre de Mathématiques Henri Lebesgue : fondements, interactions, applications et Formation(2011)

Subjects
Male, Norepinephrine, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], Humans, Hemorrhage, General Medicine, Middle Aged, Shock, Hemorrhagic, Wounds, Nonpenetrating, Hemorrhage/drug therapy, Norepinephrine/therapeutic use, Retrospective Studies, Shock, Hemorrhagic/drug therapy, Wounds, Nonpenetrating/complications, Wounds, Nonpenetrating/drug therapy
Abstract

ImportanceHemorrhagic shock is a common cause of preventable death after injury. Vasopressor administration for patients with blunt trauma and hemorrhagic shock is often discouraged.ObjectiveTo evaluate the association of early norepinephrine administration with 24-hour mortality among patients with blunt trauma and hemorrhagic shock.Design, Setting, and ParticipantsThis retrospective, multicenter, observational cohort study used data from 3 registries in the US and France on all consecutive patients with blunt trauma from January 1, 2013, to December 31, 2018. Patients were alive on admission with hemorrhagic shock, defined by prehospital or admission systolic blood pressure less than 100 mm Hg and evidence of hemorrhage (ie, prehospital or resuscitation room transfusion of packed red blood cells, receipt of emergency treatment for hemorrhage control, transfusion of >10 units of packed red blood cells in the first 24 hours, or death from hemorrhage). Blunt trauma was defined as any exposure to nonpenetrating kinetic energy, collision, or deceleration. Statistical analysis was performed from January 15, 2021, to February 22, 2022.ExposureContinuous administration of norepinephrine in the prehospital environment or resuscitation room prior to hemorrhage control, according to European guidelines.Main Outcomes and MeasuresThe primary outcome was 24-hour mortality, and the secondary outcome was in-hospital mortality. The average treatment effect (ATE) of early norepinephrine administration on 24-hour mortality was estimated according to the Rubin causal model. Inverse propensity score weighting and the doubly robust approach with 5 distinct analytical strategies were used to determine the ATE.ResultsA total of 52 568 patients were screened for inclusion, and 2164 patients (1508 men [70%]; mean [SD] age, 46 [19] years; median Injury Severity Score, 29 [IQR, 17-36]) presented with acute hemorrhage and were included. A total of 1497 patients (69.1%) required emergency hemorrhage control, 128 (5.9%) received a prehospital transfusion of packed red blood cells, and 543 (25.0%) received a massive transfusion. Norepinephrine was administered to 1498 patients (69.2%). The 24-hour mortality rate was 17.8% (385 of 2164), and the in-hospital mortality rate was 35.6% (770 of 2164). None of the 5 analytical strategies suggested any statistically significant association between norepinephrine administration and 24-hour mortality, with ATEs ranging from –4.6 (95% CI, –11.9 to 2.7) to 2.1 (95% CI, –2.1 to 6.3), or between norepinephrine administration and in-hospital mortality, with ATEs ranging from –1.3 (95% CI, –9.5 to 6.9) to 5.3 (95% CI, –2.1 to 12.8).Conclusions and RelevanceThe findings of this study suggest that early norepinephrine infusion was not associated with 24-hour or in-hospital mortality among patients with blunt trauma and hemorrhagic shock. Randomized clinical trials that study the effect of early norepinephrine administration among patients with trauma and hypotension are warranted to further assess whether norepinephrine is safe for patients with hemorrhagic shock.

Published
2022

17. Prehospital Lyophilized Plasma Transfusion for Trauma-Induced Coagulopathy in Patients at Risk for Hemorrhagic Shock

Author

Jost, Daniel, Lemoine, Sabine, Lemoine, Frédéric, Derkenne, Clément, Beaume, Sébastien, Lanoë, Vincent, Maurin, Olga, Louis-Delaurière, Emilie, Delacote, Maëlle, Dang-Minh, Pascal, Franchin-Frattini, Marilyn, Bihannic, René, Savary, Dominique, Levrat, Albrice, Baudouin, Clémence, Trichereau, Julie, Salomé, Marina, Frattini, Benoit, Ha, Vivien Hong Tuan, Jouffroy, Romain, Seguineau, Edouard, Titreville, Rudy, Roquet, Florian, Stibbe, Olivier, Vivien, Benoit, Verret, Catherine, Bignand, Michel, Travers, Stéphane, Martinaud, Christophe, Arock, Michel, Raux, Mathieu, Prunet, Bertrand, Ausset, Sylvain, Sailliol, Anne, Tourtier, Jean-Pierre, Albinni, Souha, Attias, Arié, Benchetritt, Deborah, Benichou, Laura, Boizat, Stéphane, Boutinaud, Philippe, Calinet, Alexandra, Camoin-Jau, Laurence, Cerro, Valérie, Cesareo, Eric, Chahir, Noureddine, Chassery, Carine, Chollet, Charlotte, Choubard, Anouk, Clavere, Gaëlle, Clavier, Benoit, Courtade, Henri, Creppy, Séverine, David, Jean-Stéphane, de Raucourt, Emmanuelle, Debord, Sophie, Delort, Josée, Deruaz-Cunsolo, Christine, Dettori, Isabelle, Dhers, Marion, Dias, Patricia, Diaz, Maxime, Dieuset, Sophie, Dubien, Pierre-Yves, Duchateau, François-Xavier, Duranteau, Jacques, Fiot, Charlotte, Flocard, Bernard, Foissaud, Vincent, Fournier, Marc, Francois, Anne, Gaget, Gilles, Garnier, Benjamin, Gaste, Jean-Louis, Grimault, Olivier, Gueugniaud, Pierre-Yves, Idir, Zakia, Burnichon, Jerome, Journois, Didier, Blanc-Jouvan, Florence, Kerbaul, Francois, Klein, Isabelle, Lafitte, Blandine, Langeron, Olivier, Lassale, Bernard, Lebouc, Marie, Lecarpentier, Eric, Lejeune, Stephanie, Lemaire, Mickaël, Leniger, Catherine, Leone, Marc, Leostic, Claudie, Lutomski, Chantal, Sailliol, Marianne, Martin, Claude-Denis, Matheron, Catherine, Mathieu, Jacques, Mendes, Anne-Christine, Mermillod-Blondin, Romain, Neuschwander, Arthur, Oueidat, Nathalie, Ould-Ahmed, Mehdi, Ozier, Yves, Paugam, Catherine, Peduzzi, Franck, Petermann, Alexandre, Peytel, Eric, Picou-Leblanc, Muriel, Pinero, David, Plaisance, Patrick, Raba, Michel, Ricard, Damien, Romanacce, Isabelle, Rossignol, Thomas, Rougelin-Clapasson, Christine, Saint-Paul, Amelie, Idri, Salim, Scotto, Christine, Senent, Laurence, Smadja, David, Tazarourte, Karim, Topin, Francois, Trichet, Catherine, Vocel, Alexia, Laboratoire de biologie et modélisation de la cellule (LBMC UMR 5239), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Brigade de sapeurs pompiers de Paris (BSPP), CEDRIC. Réseaux et Objets Connectés (CEDRIC - ROC), Centre d'études et de recherche en informatique et communications (CEDRIC), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM), École des Hautes Études en Santé Publique [EHESP] (EHESP), Institut de recherche en santé, environnement et travail (Irset), Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM), Centre Hospitalier Annecy-Genevois [Saint-Julien-en-Genevois], Hôpital Foch [Suresnes], CIC - Mère Enfant Necker Cochin Paris Centre (CIC 1419), Hôpital Cochin [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Service de biostatistique et information médicale de l’hôpital Saint Louis (Equipe ECSTRA) (SBIM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut national du cancer [Boulogne] (INCA)-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)-Université Paris Cité (UPCité), GHU AP-HP Centre Université de Paris, CHU Necker - Enfants Malades [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut de Recherche Biomédicale des Armée [Brétigny/Orge] (IRBA), Centre de Transfusion Sanguine des Armées (CTSA), Service de Santé des Armées, Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138)), École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité), Neurophysiologie Respiratoire Expérimentale et Clinique (UMRS 1158), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), AP-HP - Hôpital Antoine Béclère [Clamart], CHU Henri Mondor [Créteil], Université de Bretagne Occidentale - UFR Médecine et Sciences de la Santé (UBO UFR MSS), and Université de Brest (UBO)

Subjects
[SDV]Life Sciences [q-bio]
Abstract

International audience; IMPORTANCE Blood transfusion is a mainstay of therapy for trauma-induced coagulopathy, but the optimal modalities for plasma transfusion in the prehospital setting remain to be defined. OBJECTIVE To determine whether lyophilized plasma transfusion can reduce the incidence of trauma-induced coagulopathy compared with standard care consisting of normal saline infusion. DESIGN, SETTING, AND PARTICIPANTS This randomized clinical trial was performed at multiple centers in France involving prehospital medical teams. Participants included 150 adults with trauma who were at risk for hemorrhagic shock and associated coagulopathy between April 1, 2016, and

Published
2022

18. Omicron Variant in the Critical Care Units of the Paris Metropolitan Area: The Reality Research Group

Author

Vieillard-Baron, Antoine, primary, Flicoteaux, Rémi, additional, Salmona, Maud, additional, Chariot, Appoline, additional, De Maupeou D’Ableiges, Bertrand, additional, Darmon, Michael, additional, Batteux, Frédéric, additional, Annane, Djillali, additional, Ayed, Soufia, additional, Azoulay, Elie, additional, Bellaiche, Raphael, additional, Beloucif, Sadek, additional, Berti, Enora, additional, Bertier, Astrid, additional, Besset, Sébastien, additional, Bret, Marlène, additional, Cariou, Alain, additional, Carpentier, Christophe, additional, Chaouch, Oussama, additional, Charron, Cyril, additional, Charpentier, Julien, additional, Cheurfa, Cherifa, additional, Cholley, Bernard, additional, Chousterman, Benjamin, additional, Clerc, Sébastien, additional, Cohen, Yves, additional, Combes, Alain, additional, Constantin, Jean-Michel, additional, Damoisel, Charles, additional, Degos, Vincent, additional, Demeret, Sophie, additional, De Montmollin, Etienne, additional, Demoule, Alexandre, additional, Depret, Francois, additional, Diehl, Jean-Luc, additional, Djibré, Michel, additional, Do, Chung-Hi, additional, Dudoignon, Emmanuel, additional, Duranteau, Jacques, additional, Fartoukh, Muriel, additional, Fieux, Fabienne, additional, Gayat, Etienne, additional, Gennequin, Mael, additional, Guidet, Bertrand, additional, Gutton, Christophe, additional, Hamada, Sophie, additional, Heming, Nicholas, additional, Jouffroy, Romain, additional, Keita-Meyer, Hawa, additional, Langeron, Olivier, additional, Lortat-Jacob, Brice, additional, Marey, Jonathan, additional, Mebazaa, Alexandre, additional, Megarbane, Bruno, additional, Mekontso-Dessap, Armand, additional, Mira, Jean-Paul, additional, Molle, Julie, additional, Mongardon, Nicolas, additional, Montravers, Philippe, additional, Morelot-Panzini, Capucine, additional, Nemlaghi, Safaa, additional, Nguyen, Bao-long, additional, Parrot, Antoine, additional, Pasqualotto, Romain, additional, Peron, Nicolas, additional, Picard, Lucile, additional, de Chambrun, Marc Pineton, additional, Planquette, Benjamin, additional, Plaud, Benoit, additional, Pons, Stéphanie, additional, Quesnel, Christophe, additional, Raphalen, Jean-Herlé, additional, Razazi, Keyvan, additional, Ricard, Jean-Damien, additional, Roche, Anne, additional, Rohaut, Benjamin, additional, Roux, Damien, additional, Savale, Laurent, additional, Sobotka, Jennifer, additional, Teboul, Jean-Louis, additional, Timsit, Jean-François, additional, Voiriot, Guillaume, additional, Weiss, Emmanuel, additional, Wildenberg, Lucille, additional, Zogheib, Elie, additional, and Riou, Bruno, additional

Published
2022
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20. Low end-tidal CO2 as a real-time severity marker of intra-anaesthetic acute hypersensitivity reactions

Author

Gouel-Chéron, A, de Chaisemartin, L, Jönsson, F, Nicaise-Roland, P, Granger, V, Sabahov, A, Guinnepain, M-T, Chollet-Martin, S, Bruhns, P, Neukirch, C, Longrois, D, Montravers, Philippe, Gillis, Caitlin M, Mancardi, David A, Aubier, Michel, Sauvan, Caroline, Fischler, Marc, Bresson, Julie, Paugam-Burtz, Catherine, Necib, Skander, Mebazaa, Alexandre, Le Dorze, Matthieu, Jacob, Laurent, Chahine, Carole, Keita-Meyer, Hawa, Faitot, Valentina, Langeron, Olivier, Roche, Sabrine, Cholley, Bernard, and Mantz, Jean

Published
2017
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21. Additional file 1 of Clinical outcome of wild-type AmpC-producing Enterobacterales infection in critically ill patients treated with β-lactams: a prospective multicenter study

Author

Mounier, Roman, Le Guen, Ronan, Woerther, Paul-Louis, Nacher, Mathieu, Bonnefon, Clément, Mongardon, Nicolas, Langeron, Olivier, Levesque, Eric, Couffin, Séverine, Houcke, Stéphanie, Wolff, Michel, Roujansky, Ariane, Schimpf, Caroline, Mekontso Dessap, Armand, Cook, Fabrice, Razazi, Keyvan, and Kallel, Hatem

Abstract

Additional file 1. supplementary data on the methods and outcomes of the secondary objectives of the study.

Published
2022
Full Text
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23. Benefits and risks of noninvasive oxygenation strategy in COVID-19: a multicenter, prospective cohort study (COVID-ICU) in 137 hospitals

Author

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

Subjects
Critical Care and Intensive Care Medicine, Acute respiratory failure, [SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, Risk Assessment, Mechanical ventilation, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Humans, Prospective Studies, Mortality, Outcome, [SDV.MHEP.ME] Life Sciences [q-bio]/Human health and pathology/Emerging diseases, [SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases, Noninvasive Ventilation, Acute respiratory distress syndrome, RC86-88.9, Research, COVID-19, Medical emergencies. Critical care. Intensive care. First aid, Hospitals, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, [SDV.TOX] Life Sciences [q-bio]/Toxicology, Intensive Care Units, [SDV.TOX]Life Sciences [q-bio]/Toxicology, High-flow nasal cannula, [SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases, [SDV.MHEP.PSR] Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, Intubation
Abstract

Rational To evaluate the respective impact of standard oxygen, high-flow nasal cannula (HFNC) and noninvasive ventilation (NIV) on oxygenation failure rate and mortality in COVID-19 patients admitted to intensive care units (ICUs). Methods Multicenter, prospective cohort study (COVID-ICU) in 137 hospitals in France, Belgium, and Switzerland. Demographic, clinical, respiratory support, oxygenation failure, and survival data were collected. Oxygenation failure was defined as either intubation or death in the ICU without intubation. Variables independently associated with oxygenation failure and Day-90 mortality were assessed using multivariate logistic regression. Results From February 25 to May 4, 2020, 4754 patients were admitted in ICU. Of these, 1491 patients were not intubated on the day of ICU admission and received standard oxygen therapy (51%), HFNC (38%), or NIV (11%) (P P P = 0.013) but not NIV (OR 1.57, 95% CI 0.78–3.21) was associated with a reduction in oxygenation failure). Overall 90-day mortality was 21%. By multivariable analysis, HFNC was not associated with a change in mortality (OR 0.90, 95% CI 0.61–1.33), while NIV was associated with increased mortality (OR 2.75, 95% CI 1.79–4.21, P Conclusion In patients with COVID-19, HFNC was associated with a reduction in oxygenation failure without improvement in 90-day mortality, whereas NIV was associated with a higher mortality in these patients. Randomized controlled trials are needed.

Published
2021

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

Author

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

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

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

Published
2021

26. Additional file 4 of Assessment of remifentanil for rapid sequence induction and intubation in patients at risk of pulmonary aspiration of gastric contents compared to rapid-onset paralytic agents: study protocol for a non-inferiority simple blind randomized controlled trial (the REMICRUSH study)

Author

Grillot, Nicolas, Garot, Matthias, Lasocki, Sigismond, Huet, Olivier, Bouzat, Pierre, Moal, Charlène Le, Oudot, Mathieu, Chatel-Josse, Nolwenn, Amine, Younes El, Des Déserts, Marc Danguy, Bruneau, Nathalie, Cinotti, Raphael, Jean-Stéphane David, Langeron, Olivier, Minville, Vincent, Tching-Sin, Martine, Faurel-Paul, Elodie, Lerebourg, Céline, Flattres-Duchaussoy, Delphine, Jobert, Alexandra, Asehnoune, Karim, Feuillet, Fanny, and Roquilly, Antoine

Abstract

Additional file 4: Supplemental Table S1. WHO Trial Registration Dataset.

Published
2021
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27. Additional file 1 of Assessment of remifentanil for rapid sequence induction and intubation in patients at risk of pulmonary aspiration of gastric contents compared to rapid-onset paralytic agents: study protocol for a non-inferiority simple blind randomized controlled trial (the REMICRUSH study)

Author

Grillot, Nicolas, Garot, Matthias, Lasocki, Sigismond, Huet, Olivier, Bouzat, Pierre, Moal, Charlène Le, Oudot, Mathieu, Chatel-Josse, Nolwenn, Amine, Younes El, Des Déserts, Marc Danguy, Bruneau, Nathalie, Cinotti, Raphael, Jean-Stéphane David, Langeron, Olivier, Minville, Vincent, Tching-Sin, Martine, Faurel-Paul, Elodie, Lerebourg, Céline, Flattres-Duchaussoy, Delphine, Jobert, Alexandra, Asehnoune, Karim, Feuillet, Fanny, and Roquilly, Antoine

Abstract

Additional file 1: Supplemental Figure S1. Cormack-Lehane classification system.

Published
2021
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28. Additional file 3 of Assessment of remifentanil for rapid sequence induction and intubation in patients at risk of pulmonary aspiration of gastric contents compared to rapid-onset paralytic agents: study protocol for a non-inferiority simple blind randomized controlled trial (the REMICRUSH study)

Author

Grillot, Nicolas, Garot, Matthias, Lasocki, Sigismond, Huet, Olivier, Bouzat, Pierre, Moal, Charlène Le, Oudot, Mathieu, Chatel-Josse, Nolwenn, Amine, Younes El, Des Déserts, Marc Danguy, Bruneau, Nathalie, Cinotti, Raphael, Jean-Stéphane David, Langeron, Olivier, Minville, Vincent, Tching-Sin, Martine, Faurel-Paul, Elodie, Lerebourg, Céline, Flattres-Duchaussoy, Delphine, Jobert, Alexandra, Asehnoune, Karim, Feuillet, Fanny, and Roquilly, Antoine

Abstract

Additional file 3: Supplemental Figure S3. SPIRIT Checklist of the REMICRUSH study Manuscript.

Published
2021
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29. Additional file 2 of Assessment of remifentanil for rapid sequence induction and intubation in patients at risk of pulmonary aspiration of gastric contents compared to rapid-onset paralytic agents: study protocol for a non-inferiority simple blind randomized controlled trial (the REMICRUSH study)

Author

Grillot, Nicolas, Garot, Matthias, Lasocki, Sigismond, Huet, Olivier, Bouzat, Pierre, Moal, Charlène Le, Oudot, Mathieu, Chatel-Josse, Nolwenn, Amine, Younes El, Des Déserts, Marc Danguy, Bruneau, Nathalie, Cinotti, Raphael, Jean-Stéphane David, Langeron, Olivier, Minville, Vincent, Tching-Sin, Martine, Faurel-Paul, Elodie, Lerebourg, Céline, Flattres-Duchaussoy, Delphine, Jobert, Alexandra, Asehnoune, Karim, Feuillet, Fanny, and Roquilly, Antoine

Abstract

Additional file 2: Supplemental Figure S2. SPIRIT Figure of the REMICRUSH study.

Published
2021
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30. Additional file 5 of Assessment of remifentanil for rapid sequence induction and intubation in patients at risk of pulmonary aspiration of gastric contents compared to rapid-onset paralytic agents: study protocol for a non-inferiority simple blind randomized controlled trial (the REMICRUSH study)

Author

Grillot, Nicolas, Garot, Matthias, Lasocki, Sigismond, Huet, Olivier, Bouzat, Pierre, Moal, Charlène Le, Oudot, Mathieu, Chatel-Josse, Nolwenn, Amine, Younes El, Des Déserts, Marc Danguy, Bruneau, Nathalie, Cinotti, Raphael, Jean-Stéphane David, Langeron, Olivier, Minville, Vincent, Tching-Sin, Martine, Faurel-Paul, Elodie, Lerebourg, Céline, Flattres-Duchaussoy, Delphine, Jobert, Alexandra, Asehnoune, Karim, Feuillet, Fanny, and Roquilly, Antoine

Abstract

Additional file 5: Supplemental Table S2. Weight adaptation dose for remifentanil and rapid-onset paralytic agents in the REMICRUSH study.

Published
2021
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31. Additional file 6 of Assessment of remifentanil for rapid sequence induction and intubation in patients at risk of pulmonary aspiration of gastric contents compared to rapid-onset paralytic agents: study protocol for a non-inferiority simple blind randomized controlled trial (the REMICRUSH study)

Author

Grillot, Nicolas, Garot, Matthias, Lasocki, Sigismond, Huet, Olivier, Bouzat, Pierre, Moal, Charlène Le, Oudot, Mathieu, Chatel-Josse, Nolwenn, Amine, Younes El, Des Déserts, Marc Danguy, Bruneau, Nathalie, Cinotti, Raphael, Jean-Stéphane David, Langeron, Olivier, Minville, Vincent, Tching-Sin, Martine, Faurel-Paul, Elodie, Lerebourg, Céline, Flattres-Duchaussoy, Delphine, Jobert, Alexandra, Asehnoune, Karim, Feuillet, Fanny, and Roquilly, Antoine

Abstract

Additional file 6. Model consent form and other related documentation given to participants and authorized surrogates (in French).

Published
2021
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32. Machine learning-based prediction of emergency neurosurgery within 24 h after moderate to severe traumatic brain injury.

Author

Moyer, Jean-Denis, Lee, Patrick, Bernard, Charles, Henry, Lois, Lang, Elodie, Cook, Fabrice, Planquart, Fanny, Boutonnet, Mathieu, Harrois, Anatole, Gauss, Tobias, The Traumabase Group®, Abback, Paer-Selim, Audibert, Gérard, Geeraerts, Thomas, Langeron, Olivier, Leone, Marc, Pottecher, Julien, Stecken, Laurent, and Hanouz, Jean-Luc

Subjects
NEUROSURGERY, MACHINE learning, RETROSPECTIVE studies, PATIENTS, RISK assessment, MEDICAL emergencies, SEVERITY of illness index, HOSPITAL admission & discharge, DESCRIPTIVE statistics, GLASGOW Coma Scale, BRAIN injuries, PREDICTION models, LOGISTIC regression analysis, DECISION making in clinical medicine, EMERGENCY medicine
Abstract

Background: Rapid referral of traumatic brain injury (TBI) patients requiring emergency neurosurgery to a specialized trauma center can significantly reduce morbidity and mortality. Currently, no model has been reported to predict the need for acute neurosurgery in severe to moderate TBI patients. This study aims to evaluate the performance of Machine Learning-based models to establish to predict the need for neurosurgery procedure within 24 h after moderate to severe TBI. Methods: Retrospective multicenter cohort study using data from a national trauma registry (Traumabase®) from November 2011 to December 2020. Inclusion criteria correspond to patients over 18 years old with moderate or severe TBI (Glasgow coma score ≤ 12) during prehospital assessment. Patients who died within the first 24 h after hospital admission and secondary transfers were excluded. The population was divided into a train set (80% of patients) and a test set (20% of patients). Several approaches were used to define the best prognostic model (linear nearest neighbor or ensemble model). The Shapley Value was used to identify the most relevant pre-hospital variables for prediction. Results: 2159 patients were included in the study. 914 patients (42%) required neurosurgical intervention within 24 h. The population was predominantly male (77%), young (median age 35 years [IQR 24–52]) with severe head injury (median GCS 6 [3–9]). Based on the evaluation of the predictive model on the test set, the logistic regression model had an AUC of 0.76. The best predictive model was obtained with the CatBoost technique (AUC 0.81). According to the Shapley values method, the most predictive variables in the CatBoost were a low initial Glasgow coma score, the regression of pupillary abnormality after osmotherapy, a high blood pressure and a low heart rate. Conclusion: Machine learning-based models could predict the need for emergency neurosurgery within 24 h after moderate and severe head injury. Potential clinical benefits of such models as a decision-making tool deserve further assessment. The performance in real-life setting and the impact on clinical decision-making of the model requires workflow integration and prospective assessment. [ABSTRACT FROM AUTHOR]

Published
2022
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34. Viral genomic, metagenomic and human transcriptomic characterization and prediction of the clinical forms of COVID-19

Author

Rodriguez, Christophe, primary, de Prost, Nicolas, additional, Fourati, Slim, additional, Lamoureux, Claudie, additional, Gricourt, Guillaume, additional, N’debi, Melissa, additional, Canoui-Poitrine, Florence, additional, Désveaux, Isaac, additional, Picard, Oriane, additional, Demontant, Vanessa, additional, Trawinski, Elisabeth, additional, Lepeule, Raphaël, additional, Surgers, Laure, additional, Vindrios, William, additional, Lelièvre, Jean-Daniel, additional, Mongardon, Nicolas, additional, Langeron, Olivier, additional, Cohen, José L., additional, Mekontso-Dessap, Armand, additional, Woerther, Paul-Louis, additional, and Pawlotsky, Jean-Michel, additional

Published
2021
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35. Case Report: Multimodal Functional and Structural Evaluation Combining Pre-operative nTMS Mapping and Neuroimaging With Intraoperative CT-Scan and Brain Shift Correction for Brain Tumor Surgical Resection

Author

Senova, Suhan, primary, Lefaucheur, Jean-Pascal, additional, Brugières, Pierre, additional, Ayache, Samar S., additional, Tazi, Sanaa, additional, Bapst, Blanche, additional, Abhay, Kou, additional, Langeron, Olivier, additional, Edakawa, Kohtaroh, additional, Palfi, Stéphane, additional, and Bardel, Benjamin, additional

Published
2021
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36. Impact of platelet transfusion on outcomes in trauma patients.

Author

Hamada, S. R., Garrigue, D., Nougue, H., Meyer, A., Boutonnet, M., Meaudre, E., Culver, A., Gaertner, E., Audibert, G., Vigué, B., Duranteau, J., Godier, A., and the TraumaBase Group, Abback, Paer-Selim, Audibert, Gérard, Gauss, Tobias, Geeraerts, Thomas, Harrois, Anatole, Langeron, Olivier, and Leone, Marc

Abstract

Background: Trauma-induced coagulopathy includes thrombocytopenia and platelet dysfunction that impact patient outcome. Nevertheless, the role of platelet transfusion remains poorly defined. The aim of the study was 1/ to evaluate the impact of early platelet transfusion on 24-h all-cause mortality and 2/ to describe platelet count at admission (PCA) and its relationship with trauma severity and outcome.Methods: Observational study carried out on a multicentre prospective trauma registry. All adult trauma patients directly admitted in participating trauma centres between May 2011 and June 2019 were included. Severe haemorrhage was defined as ≥ 4 red blood cell units within 6 h and/or death from exsanguination. The impact of PCA and early platelet transfusion (i.e. within the first 6 h) on 24-h all-cause mortality was assessed using uni- and multivariate logistic regression.Results: Among the 19,596 included patients, PCA (229 G/L [189,271]) was associated with coagulopathy, traumatic burden, shock and bleeding severity. In a logistic regression model, 24-h all-cause mortality increased by 37% for every 50 G/L decrease in platelet count (OR 0.63 95% CI 0.57-0.70; p < 0.001). Regarding patients with severe hemorrhage, platelets were transfused early for 36% of patients. Early platelet transfusion was associated with a decrease in 24-h all-cause mortality (versus no or late platelets): OR 0.52 (95% CI 0.34-0.79; p < 0.05).Conclusions: PCA, although mainly in normal range, was associated with trauma severity and coagulopathy and was predictive of bleeding intensity and outcome. Early platelet transfusion within 6 h was associated with a decrease in mortality in patients with severe hemorrhage. Future studies are needed to determine which doses of platelet transfusion will improve outcomes after major trauma. [ABSTRACT FROM AUTHOR]

Published
2022
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39. Development of a prediction model for postoperative pneumonia: A multicentre prospective observational study

Author

Russotto, Vincenzo, Sabate, Sergi, Canet, Jaume, Langeron, Olivier, de Abreu, Marcelo Gama, Gallart, Lluis, Javier Belda, F., Pelosi, Paolo, Hoeft, Andreas, Mazo, Valentin, Leva, Brigitte, Burimi, Jonela, Halefi, Toma, Hoxha, Aleksander, Pilika, Kliti, Selmani, Imelda, Daout, Ve'ronique, Gauthier, Caroline, Kahn, David, Momeni, Mona, Watremez, Christine, Straus, Slavenka, Djonovic-manovic, Dejana, Juros-Zovko, Marina, Komen-Usljebrka, Helga, Orlic, Vlasta, Stuck, Ivana, Balakova, Lenka, Kosinova, Martina, Krikava, Ivo, Stoudek, Roman, Stourac, Petr, Zadrazilova, Katarina, Janvekar, Sanober, Karjagin, Juri, Roivassepp, Kadri, Sormus, Alar, Cuvillon, Philippe, Ibanez-Esteve, Cristina, Raux, Mathieu, Nicolas-Robin, Armelle, Winter, Andre, Brunier, Malte, Engelhard, Kristin, Feldmann, Rita Laufenberg, Lindemann, Raphaele, Mauff, Susanne, Sebastiani, Anne, Zamperoni, Camila, Kessler, Florian, Wittmann, Maria, Bluth, Thomas, Guldner, Andreas, Kiss, Thomas, Braz, Kristina, Ruszkai, Csilla, Micaglio, Massimo, Ori, Carlo, Parotto, Matteo, Persona, Paolo, Giuseppe, Coletta, Carnesecchi, Paolo, Lazzeroni, Denise, Lorenzi, Irene, Castellani, Gianluca, Sances, Daniele, Spano, Gianluca, Tredici, Stefano, Vezzoli, Dario, Brunetti, Iole, Di Noto, Anna, Gratarola, Angelo, Molin, Alexandre, Montagnani, Luca, Pellerano, Giulia, Fusari, Maurizio, Camici, Laura, Guzzetti, Luca, Marangoni, Fabio, Severgnini, Paolo, Di Mauro, Piero, Rapido, Francesca, Tommasino, Concezione, Nemme, Ieva, Nemme, Janis, Blieka, Justinas, Borodiciene, Jurgita, Budryte, Brigita, Karbonskiene, Aurika, Kiudulaite, Inga, Milieskaite, Egle, Rasimaviciute, Renata, Sireviciene, Ugne, Stasaityte, Ramune, Usas, Edgaras, Zarskiene, Giedre, Kontrimaviciute, Egle, Sipylaite, Jurate, Tomkute, Gabija, Bardea, Petra, Klop, Marco, Koch, Marc, Bozilow, Dominika, Goch, Robert, Bonifacio, Joao, Marques, Sofia, dos Santos Ralha, Tania Teresa, Alves, Daniel, Carvalho, Ines, Da Cruz Parente, Josefina Suzana, Tome, Sara, Carmona, Cristina, Costa, Miranda, Lina, Maria, Sierra, Sofia, Balcan, Alina, Cindea, Iulia, Gherghina, Viorel Ionel, Grasa, Catalin, Copotoiu, Ruxandra, Copotoiu, Sanda-Maria, Kovacs, Judit, Szederjesi, Janos, Theil, Arthur, Filipescu, Daniela, Grytsan, Alexey, Kapkan, Tatiana, Rostovtsev, Sergey, Yushkova, Anastasia, Calderon, Ricardo, Cacho, Elena, Marginet, Carolina, Monedero, Pablo, Jose Yepes, Maria, Esparza Minana, Jose Miguel, Granell Gil, Manuel, Rico Portoles, Gabriel, Lisi, Alberto, Perez, Gisela, Poch, Nuria, Arganaraz Quinteros, Mauricio Roberto, Font Bosch, Carme, Torrellardona Llobera, Jordi, Sierra, Pilar, Matute, Mercedes, Alcon Dominguez, Amalia, Jose Arguis, Maria, Belda, Isabel, Carrero, Enrique, Moreno, Jacobo, Rovira, Irene, Ubre, Marta, Castillo, Roberto, Herrero, Silvia, Ballester Lujan, Maria Teresa, Carbonell, Jose, Gencheva, Geri, Gutierrez, Andrea, Llorens, Julio, Machado, Sofia, Llobell, Francisca, Paz Martin, Daniel, Javier Garcia-Miguel, Francisco, Perez Garcia, Anibal, Company, Roque, Ahamdanech Idrissi, Aixa, del Fresno Canaveras, Josefina, Navarro Martinez, Jose Alejandro, Paya Martinez, Estefania, Sanchez Garcia, Ester, Vera Bella, Jorge, India Aldana, Inmaculada, Manuel Campos, J., Pelaez Vaamonde, Xavier, Torra, Montserrat, Arroyo, Raquel, Carlos Cabrera, Juan, Carazo Cordobes, Jesus, Rojo, Amelia, Javier Santiveri, Francisco, Gonzalez, Miriam, Jimenez, Anabel, Jimenez, Yolanda, Marti, Agnes, Moret, Enrique, Rodriguez Nunez, Monica, Velasco, Joaquin, Calderon, Adriana, Gonzalez, Matide, Gonzalez, Olga, Hermira Anchuelo, Ana, Lopez, Eloisa, Sanchez, Esther, Aznarez Zango, Blanca, Garcia Corral, Francisco Jose, Mata Mena, Esperanza, Planas Roca, Antonio, Ayala Soto, Raquel Fernandez Rocio, Quintana, Borja, Rabanal Llevot, Jose Manuel, Williams Camus, Monica Mercedes, Palacios Blanco, Alba, Largo Ruiz, Angela, Rico Feijoo, Jesus, Castellano Garijo, Elvira, Belmonte Cuenca, Julio, Bonet Binimelis, Marcos Jose, Grigorov, Ivaylo, Lluis Aguilar, Josep, De Nadal Clanchet, Miriam, Guerrero Vinas, Encarnacion, Manrique Muniz, Susana, Martin Mora, Victor, Munar Bauza, Francisca, Nunez Aguado, Sonia, Olive Vidal, Montserrat, Panos Gozalo, Maria Luisa, Sanchez Marin, Marcos, Suescun Lopez, Maria Carmen, Maino, Paolo, Yevstratov, Yevhen Eugene, Kucukgoncu, Semra, Senturk, Nuzhet Mert, Ulke, Zerrin Sungur, Russotto, V, Sabate, S, and Canet, J

Subjects
Male, medicine.medical_specialty, Prognosi, MEDLINE, Hospital mortality, Models, Biological, Risk Assessment, 03 medical and health sciences, Postoperative complications, 0302 clinical medicine, Postoperative Complications, 030202 anesthesiology, Odds Ratio, Medicine, Humans, Anesthesia, PULMONARY COMPLICATIONS, HYDROXYETHYL STARCH, HEMORRHAGIC-SHOCK, RISK, RESUSCITATION, VALIDATION, INFECTION, SCORE, Hospital Mortality, Prospective Studies, Prospective cohort study, Aged, business.industry, 030208 emergency & critical care medicine, Odds ratio, Pneumonia, Postoperative pneumonia, Surgical procedures, Middle Aged, Prognosis, respiratory tract diseases, Europe, Prospective Studie, Anesthesiology and Pain Medicine, Multicenter study, Surgical Procedures, Operative, Emergency medicine, Observational study, Female, Postoperative Complication, business, Respiratory insufficiency, Human
Abstract

BACKGROUNDPostoperative pneumonia is associated with increased morbidity, mortality and costs. Prediction models of pneumonia that are currently available are based on retrospectively collected data and administrative coding systems.OBJECTIVETo identify independent variables associated with the occurrence of postoperative pneumonia.DESIGNA prospective observational study of a multicentre cohort (Prospective Evaluation of a RIsk Score for postoperative pulmonary COmPlications in Europe database).SETTINGSixty-three hospitals in Europe.PATIENTSPatients undergoing surgery under general and/or regional anaesthesia during a 7-day recruitment period.MAIN OUTCOME MEASUREThe primary outcome was postoperative pneumonia. Definition: the need for treatment with antibiotics for a respiratory infection and at least one of the following criteria: new or changed sputum; new or changed lung opacities on a clinically indicated chest radiograph; temperature more than 38.3 °C; leucocyte count more than 12 000 μl-1.RESULTSPostoperative pneumonia occurred in 120 out of 5094 patients (2.4%). Eighty-two of the 120 (68.3%) patients with pneumonia required ICU admission, compared with 399 of the 4974 (8.0%) without pneumonia (P < 0.001). We identified five variables independently associated with postoperative pneumonia: functional status [odds ratio (OR) 2.28, 95% confidence interval (CI) 1.58 to 3.12], pre-operative SpO2 values while breathing room air (OR 0.83, 95% CI 0.78 to 0.84), intra-operative colloid administration (OR 2.97, 95% CI 1.94 to 3.99), intra-operative blood transfusion (OR 2.19, 95% CI 1.41 to 4.71) and surgical site (open upper abdominal surgery OR 3.98, 95% CI 2.19 to 7.59). The model had good discrimination (c-statistic 0.89) and calibration (Hosmer-Lemeshow P = 0.572).CONCLUSIONWe identified five variables independently associated with postoperative pneumonia. The model performed well and after external validation may be used for risk stratification and management of patients at risk of postoperative pneumonia.TRIAL REGISTRATIONNCT 01346709 (ClinicalTrials.gov).

Published
2018

41. Use of brain diffusion tensor imaging for the prediction of long-term neurological outcomes in patients after cardiac arrest: a multicentre, international, prospective, observational, cohort study

Author

Velly, Lionel, Perlbarg, Vincent, Boulier, Thomas, Adam, Nicolas, Delphine, Sebastien, Luyt, Charles-Edouard, Battisti, Valentine, Torkomian, Gregory, Arbelot, Charlotte, Chabanne, Russell, Jean, Betty, Di Perri, Carol, Laureys, Steven, Citerio, Giuseppe, Vargiolu, Alessia, Rohaut, Benjamin, Bruder, Nicolas, Girard, Nadine, Silva, Stein, Cottenceau, Vincent, Tourdias, Thomas, Coulon, Olivier, Riou, Bruno, Naccache, Lionel, Gupta, Rajiv, Benali, Habib, Galanaud, Damien, Puybasset, Louis, Constantin, Jean, Chastre, Jean, Amour, Julien, Vezinet, Corine, Rouby, Jean-Jacques, Raux, Mathieu, Langeron, Olivier, Degos, Vincent, Bolgert, Francis, Weiss, Nicolas, Similowski, Thomas, Demoule, Alexandre, Duguet, Alexandre, Tollard, Eléonore, Veber, Benoit, Lotterie, Jean-Albert, Sanchez-Pena, Paola, Genestal, Michèle, Patassini, Mirko, Meng, Delphine, Md, Galanaud, Meng, Torkomian, Adam, N, Institut de Neurosciences de la Timone (INT), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Laboratoire d'Imagerie Biomédicale (LIB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP]-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Pitié-Salpêtrière [APHP], CHU Clermont-Ferrand, Coma Science Group [Liege], Université de Liège, Neurointensive Care Unit, Ospedale S. Gerardo, Bicocca (University of Milan), Università degli Studi di Milano-Bicocca [Milano] (UNIMIB), Hôpital de la Timone [CHU - APHM] (TIMONE), Département d'Anesthésie-Réanimation [Toulouse], Hôpital Purpan [Toulouse], CHU Toulouse [Toulouse]-CHU Toulouse [Toulouse], Service de Réanimation Médicale [CHU Bordeaux], CHU Bordeaux [Bordeaux]-Hôpital Pellegrin, Neuroinflammation: imagerie et thérapie de la sclérose en plaques, Université Bordeaux Segalen - Bordeaux 2-Institut National de la Santé et de la Recherche Médicale (INSERM), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Institute of cardiometabolism and nutrition (ICAN), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP], Massachusetts General Hospital [Boston], Imagerie médicale et quantitative, Institut National de la Santé et de la Recherche Médicale (INSERM), Velly, L, Perlbarg, V, Boulier, T, Adam, N, Delphine, S, Luyt, C, Battisti, V, Torkomian, G, Arbelot, C, Chabanne, R, Jean, B, Di Perri, C, Laureys, S, Citerio, G, Vargiolu, A, Rohaut, B, Bruder, N, Girard, N, Silva, S, Cottenceau, V, Tourdias, T, Coulon, O, Riou, B, Naccache, L, Gupta, R, Benali, H, Galanaud, D, Puybasset, L, Constantin, J, Chastre, J, Amour, J, Vezinet, C, Rouby, J, Raux, M, Langeron, O, Degos, V, Bolgert, F, Weiss, N, Similowski, T, Demoule, A, Duguet, A, Tollard, E, Veber, B, Lotterie, J, Sanchez Pena, P, Génestal, M, Patassini, M, Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance Publique - Hôpitaux de Marseille (APHM), Laboratoire d'Imagerie Fonctionnelle (LIF), Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-IFR49-Institut National de la Santé et de la Recherche Médicale (INSERM), Département de Mathématiques et Applications - ENS Paris (DMA), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA), Troubles du comportement alimentaire de l'adolescent (UMR_S 669), Université Paris-Sud - Paris 11 (UP11)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Dept. of Neurological and Behavioural Sciences, Siena, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS), Réanimation Polyvalente, Service d’Anesthésie Réanimation, Service d'Anesthésie et de Réanimation 1, CHU Bordeaux [Bordeaux]-Groupe hospitalier Pellegrin, Laboratoire d'Anesthésiologie, Université Pierre et Marie Curie - Paris 6 (UPMC), Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière (CRICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Inter-University Centre for Astronomy and Astrophysics [Pune] (IUCAA), Service de Neuroradiologie [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Neuropsycho-pharmacologie expérimentale, Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), Institut de cardiologie [CHU Pitié-Salpêtrière], Service de Cardiologie [CHU Pitié-Salpêtrière], Neurophysiologie Respiratoire Expérimentale et Clinique, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Neuroprotection du Cerveau en Développement / Promoting Research Oriented Towards Early Cns Therapies (PROTECT), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Robert Debré-Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Neurologie [CHU Pitié-Salpêtrière], IFR70-CHU Pitié-Salpêtrière [AP-HP], Université Nice Sophia Antipolis - Faculté de Médecine (UNS UFR Médecine), 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), Service de Pneumologie et Réanimation Médicale [CHU Pitié-Salpêtrière] (Département ' R3S '), Service d'imagerie médicale [CHU Rouen], Hôpital Charles Nicolle [Rouen]-CHU Rouen, Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU), Service de réanimation médicale [CHU Rouen], Toulouse Neuro Imaging Center (ToNIC), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Réanimation, CHU Toulouse [Toulouse]-CHU Purpan, Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases (ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Assistance publique - Hôpitaux de Paris (AP-HP) (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)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Pôle Anesthésie Réanimation [CHU de Toulouse], Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Laboratoire d'Imagerie Biomédicale [Paris] (LIB), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Hôpital Charles Nicolle [Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU)-CHU Rouen, Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT), École normale supérieure - Paris (ENS Paris), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-CHU Pitié-Salpêtrière [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), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), Centre National de la Recherche Scientifique (CNRS)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), Université Nice Sophia Antipolis (... - 2019) (UNS), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hôpital Purpan [Toulouse], Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), and Service de neurologie 1 [CHU Pitié-Salpétrière]

Subjects
Adult, Pediatrics, medicine.medical_specialty, [SDV]Life Sciences [q-bio], Sensitivity and Specificity, 03 medical and health sciences, 0302 clinical medicine, Belgium, Predictive Value of Tests, Fractional anisotropy, medicine, Humans, Prospective Studies, Prospective cohort study, ComputingMilieux_MISCELLANEOUS, Aged, Receiver operating characteristic, medicine.diagnostic_test, [SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior, business.industry, [SCCO.NEUR]Cognitive science/Neuroscience, Brain, [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences, Electroencephalography, 030208 emergency & critical care medicine, Magnetic resonance imaging, Middle Aged, Prognosis, Magnetic Resonance Imaging, Heart Arrest, Cardiac arrest, MRI, Diffusion Tensor Imaging, Treatment Outcome, Italy, Predictive value of tests, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Female, Observational study, France, Neurology (clinical), Nervous System Diseases, business, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology, 030217 neurology & neurosurgery, Diffusion MRI, Cohort study
Abstract

Summary Background Prediction of neurological outcome after cardiac arrest is a major challenge. The aim of this study was to assess whether quantitative whole-brain white matter fractional anisotropy (WWM-FA) measured by diffusion tensor imaging between day 7 and day 28 after cardiac arrest can predict long-term neurological outcome. Methods This prospective, observational, cohort study (part of the MRI-COMA study) was done in 14 centres in France, Italy, and Belgium. We enrolled patients aged 18 years or older who had been unconscious for at least 7 days after cardiac arrest into the derivation cohort. The following year, we recruited the validation cohort on the same basis. We also recruited a minimum of five healthy volunteers at each centre for the normalisation procedure. WWM-FA values were compared with standard criteria for unfavourable outcome, conventional MRI sequences (fluid-attenuated inversion recovery and diffusion-weighted imaging), and proton magnetic resonance spectroscopy. The primary outcome was the best achieved Glasgow-Pittsburgh Cerebral Performance Categories (CPC) at 6 months, dichotomised as favourable (CPC 1–2) and unfavourable outcome (CPC 3–5). Prognostication performance was assessed by the area under the receiver operating characteristic (ROC) curves and compared between groups. This study was registered with ClinicalTrials.gov, number NCT00577954. Findings Between Oct 1, 2006, and June 30, 2014, 185 patients were enrolled in the derivation cohort, of whom 150 had an interpretable multimodal MRI and were included in the analysis. 33 (22%) patients had a favourable neurological outcome at 6 months. Prognostic accuracy, as quantified by the area under the ROC curve, was significantly higher with the normalised WWM-FA value (area under the ROC curve 0·95, 95% CI 0·91–0·98) than with the standard criteria for unfavourable outcome or other MRI sequences. In a subsequent validation cohort of 50 patients (enrolled between April 1, 2015, and March 31, 2016), a normalised WWM-FA value lower than 0·91, set from the derivation cohort, had a negative predictive value of 71·4% (95% CI 41·9–91·6) and a positive predictive value of 100% (90·0–100), with 89·7% sensitivity (75·8–97·1) and 100% specificity (69·1–100) for the prediction of unfavourable outcome. Interpretation In patients who are unconscious 7 days after cardiac arrest, the normalised WWM-FA value, measured by diffusion tensor imaging, could be used to accurately predict neurological outcome at 6 months. This evidence requires confirmation from future large-scale trials with a strict protocol of withdrawal or limitation-of-care decisions and time window for MRI. Funding French Ministry of Health, French National Agency for Research, Italian Ministry of Health, and Regione Lombardia.

Published
2018

42. Additional file 2: of Development and validation of a pre-hospital 'Red Flag' alert for activation of intra-hospital haemorrhage control response in blunt trauma

Author

Hamada, Sophie, Rosa, Anne, Gauss, Tobias, Jean-Philippe Desclefs, Raux, Mathieu, Harrois, Anatole, Follin, Arnaud, Cook, Fabrice, Boutonnet, Mathieu, Attias, Arie, Ausset, Sylvain, Dhonneur, Gilles, Langeron, Olivier, Paugam-Burtz, Catherine, Pirracchio, Romain, Riou, Bruno, Maurice, Guillaume De St, Vigué, Bernard, Rouquette, Alexandra, and Duranteau, Jacques

Abstract

Binarization of continuous variables according to Youden’s Index. SpO2 binarized according to literature (cut-off value 90%). AUC area under the ROC curve. (DOCX 16 kb)

Published
2018
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43. Additional file 3: of Development and validation of a pre-hospital 'Red Flag' alert for activation of intra-hospital haemorrhage control response in blunt trauma

Author

Hamada, Sophie, Rosa, Anne, Gauss, Tobias, Jean-Philippe Desclefs, Raux, Mathieu, Harrois, Anatole, Follin, Arnaud, Cook, Fabrice, Boutonnet, Mathieu, Attias, Arie, Ausset, Sylvain, Dhonneur, Gilles, Langeron, Olivier, Paugam-Burtz, Catherine, Pirracchio, Romain, Riou, Bruno, Maurice, Guillaume De St, Vigué, Bernard, Rouquette, Alexandra, and Duranteau, Jacques

Abstract

Univariate analysis of pre-hospital variables in derivation cohort. Results expressed as mean ± standard deviation or *median [1st quartile–3rd quartile]. SBP systolic blood pressure, DBP diastolic blood pressure, MBP mean blood pressure, HR heart rate, SpO2 peripheral oxygen saturation, Min minimal, Max maximal. #Cut-off value not binarized with ROC curves. (DOCX 19 kb)

Published
2018
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44. Training for Lung Ultrasound Score Measurement in Critically Ill Patients

Author

Rouby, Jean-Jacques, primary, Arbelot, Charlotte, additional, Gao, Yuzhi, additional, Zhang, Mao, additional, Lv, Jie, additional, An, Youzhong, additional, Chunyao, Wang, additional, Bin, Du, additional, Valente Barbas, Carmen Silvia, additional, Dexheimer Neto, Felippe Leopoldo, additional, Prior Caltabeloti, Fabiola, additional, Lima, Emidio, additional, Cebey, Andres, additional, Perbet, Sébastien, additional, Constantin, Jean-Michel, additional, Rouby, Jean-Jacques, additional, Brisson, Hélène, additional, Deransy, Romain, additional, Vezinet, Corinne, additional, Garçon, Pierre, additional, El Hadj Kacem, Nabil, additional, Lemesle, Denis, additional, Monsel, Antoine, additional, Lu, Qin, additional, Langeron, Olivier, additional, Gay, Frédérick, additional, Lucena, Bruno, additional, Malbouisson, Luiz, additional, Carvalho Carmona, Maria José, additional, Neves, Julio, additional, de Tarso Roth Dalcin, Paulo, additional, de Paula Pinto Schettino, Guilherme, additional, Biestro, Alberto, additional, Cristovao, Davi, additional, and Salluh, Jorge, additional

Published
2018
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45. Unexpected good outcome in severe cerebral fat embolism syndrome

Author

Hermann, Bertrand, primary, Brisson, Hélène, additional, Langeron, Olivier, additional, Pyatigorskaya, Nadya, additional, Paquereau, Julie, additional, Robert, Hélène, additional, Stender, Johan, additional, Habert, Marie‐Odile, additional, Naccache, Lionel, additional, and Monsel, Antoine, additional

Published
2018
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46. Effect of early use of noradrenaline on in-hospital mortality in haemorrhagic shock after major trauma: a propensity-score analysis

Author

Gauss, T., primary, Gayat, E., additional, Harrois, A., additional, Raux, M., additional, Follin, A., additional, Daban, J.-L., additional, Cook, F., additional, Hamada, S., additional, Attias, Arie, additional, Ausset, Sylvain, additional, Boutonnet, Mathieu, additional, Dhonneur, Gilles, additional, Duranteau, Jacques, additional, Langeron, Olivier, additional, Mantz, Jean, additional, Paugam-Burtz, Catherine, additional, Pirracchio, Romain, additional, Riou, Bruno, additional, de St Maurice, Guillaume, additional, Vigué, Bernard, additional, Bertho, Kilian, additional, Chollet-Xemard, Charlotte, additional, Dolveck, François, additional, Michelland, Laurianne, additional, Reuter, Paul-Georges, additional, Ricard-Hibon, Agnès, additional, Richard, Olivier, additional, Sapir, David, additional, and Vivien, Benoît, additional

Published
2018
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47. Aspergillus-induced pneumonia in adult without obvious immunodeficiency: test the burst!

Author

Flament, Héloïse, primary, Granger, Vanessa, additional, Vezinet, Corinne, additional, Marzaioli, Viviana, additional, Kannengiesser, Caroline, additional, de Chaisemartin, Luc, additional, Hurtado-Nedelec, Margarita, additional, Litvinova, Elena, additional, Messika, Jonathan, additional, Adam, Nicolas, additional, Gougerot-Pocidalo, Marie-Anne, additional, Dang, Pham My-Chan, additional, Monteiro, Renato, additional, el Benna, Jamel, additional, Langeron, Olivier, additional, Chollet-Martin, Sylvie, additional, and Monsel, Antoine, additional

Published
2018
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48. In Reply

Author

Monsel, Antoine, primary, Le Corre, Marine, additional, Brisson, Hélène, additional, Arbelot, Charlotte, additional, Vezinet, Corinne, additional, Fléron, Marie-Hélène, additional, Lu, Qin, additional, Langeron, Olivier, additional, and Rouby, Jean-Jacques, additional

Published
2016
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49. Tapered-cuff Endotracheal Tube Does Not Prevent Early Postoperative Pneumonia Compared with Spherical-cuff Endotracheal Tube after Major Vascular Surgery

Author

Monsel, Antoine, primary, Lu, Qin, additional, Le Corre, Marine, additional, Brisson, Hélène, additional, Arbelot, Charlotte, additional, Vezinet, Corinne, additional, Fléron, Marie-Hélène, additional, Ibanez-Estève, Christina, additional, Zerimech, Farid, additional, Balduyck, Malika, additional, Dexheimer, Felippe, additional, Wang, Chunyao, additional, Langeron, Olivier, additional, and Rouby, Jean-Jacques, additional

Published
2016
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