127 results on '"Petit, M."'
Search Results
2. Residual risk of Pseudomonas aeruginosa waterborne contamination in an intensive care unit despite the presence of filters at all water points-of-use
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Royer, G., Virieux-Petit, M., Aujoulat, F., Hersent, C., Baranovsky, S., Hammer-Dedet, F., Masnou, A., Marchandin, H., Corne, P., Jumas-Bilak, E., and Romano-Bertrand, S.
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- 2024
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3. Magnetic interactions in epitaxial films of Mn[formula omitted](Ge[formula omitted]Si[formula omitted])[formula omitted]/Ge(111) : 55Mn NMR study
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Kalvig, R., Jędryka, E., Kang, S., Petit, M., Michez, L., and Wójcik, M.
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- 2024
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4. Conception, réalisation et évaluation d’une démarche éducative auprès des patients porteurs de PICC line et midline
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Petit, M., Dumont, R., Huon, J.-F., Sellal, O., and Feldman, D.
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- 2023
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5. Automatic Full Slip Detection System implemented on the Strain-based Intelligent Tire at severe maneuvers
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Mendoza-Petit, M<ce:sup loc='post">a</ce:sup> Fernanda, García-Pozuelo, Daniel, Díaz, Vicente, Gutiérrez-Moizant, Ramón, and Olatunbosun, Oluremi
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- 2023
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6. Characterization of the loss of grip condition in the Strain-Based Intelligent Tire at severe maneuvers
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Mendoza-Petit, M<ce:sup loc='post">a</ce:sup> Fernanda, Garcia-Pozuelo, Daniel, Diaz, Vicente, and Garrosa, María
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- 2022
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7. A holistic contribution to fast innovation in electric vehicles: An overview of the DEMOBASE research project
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Bordes, A., Danilov, D.L., Desprez, P., Lecocq, A., Marlair, G., Truchot, B., Dahmani, M., Siret, C., Laurent, S., Herreyre, S., Dominget, A., Hamelin, L., Rigobert, G., Benjamin, S., Legrand, N., Belerrajoul, M., Maurer, W., Chen, Z., Raijmakers, L.H.J., Li, D., Zhou, J., Notten, P.H.L., Perlo, P., Biasiotto, M., Introzzi, R., Petit, M., Martin, J., Bernard, J., Koffel, S., Lorentz, V., Durling, E., Kolari, S., Wang, Z., Massazza, M., and Lamontarana, S.
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- 2022
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8. L’anticipation de la fin de vie dans les pathologies neurodégénératives : les dispositifs légaux et les enjeux éthiques avec l’exemple de la SLA
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Petit, M. and Cassereau, J.
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- 2021
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9. Magnetic interactions in epitaxial films of Mn5(Ge1−xSix)3/Ge(111) : 55Mn NMR study
- Author
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Kalvig, R., primary, Jędryka, E., additional, Kang, S., additional, Petit, M., additional, Michez, L., additional, and Wójcik, M., additional
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- 2024
- Full Text
- View/download PDF
10. On-line temperature measurement during power cycle of PCB-embedded diode
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Bensebaa, S., Berkani, M., Petit, M., and Lefebvre, S.
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- 2021
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11. La métabolomique du globule rouge identifie l’ergothionéine comme marqueur de la polyarthrite rhumatoïde et de sa réponse au méthotrexate
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Sigaux, J., primary, Junot, C., additional, Boissier, M.C., additional, Petit, M., additional, Breckler, M., additional, Castelli, F., additional, Fenaille, F., additional, and Roméo, P.H., additional
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- 2023
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12. Timing of Prone Positioning during Venovenous Extracorporeal Membrane Oxygenation for Acute Respiratory Distress Syndrome
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Giani, M, Rezoagli, E, Guervilly, C, Rilinger, J, Duburcq, T, Petit, M, Textoris, L, Garcia, B, Wengenmayer, T, Bellani, G, Grasselli, G, Pesenti, A, Combes, A, Foti, G, Schmidt, M, Giani M., Rezoagli E., Guervilly C., Rilinger J., Duburcq T., Petit M., Textoris L., Garcia B., Wengenmayer T., Bellani G., Grasselli G., Pesenti A., Combes A., Foti G., Schmidt M., Giani, M, Rezoagli, E, Guervilly, C, Rilinger, J, Duburcq, T, Petit, M, Textoris, L, Garcia, B, Wengenmayer, T, Bellani, G, Grasselli, G, Pesenti, A, Combes, A, Foti, G, Schmidt, M, Giani M., Rezoagli E., Guervilly C., Rilinger J., Duburcq T., Petit M., Textoris L., Garcia B., Wengenmayer T., Bellani G., Grasselli G., Pesenti A., Combes A., Foti G., and Schmidt M.
- Abstract
OBJECTIVES: To assess the association of timing to prone positioning (PP) during venovenous extracorporeal membrane oxygenation (V-V ECMO) with the probability of being discharged alive from the ICU at 90 days (primary endpoint) and the improvement of the respiratory system compliance (Cpl,rs). DESIGN: Pooled individual data analysis from five original observational cohort studies. SETTING: European extracorporeal membrane oxygenation (ECMO) centers. PATIENTS: Acute respiratory distress syndrome (ARDS) patients who underwent PP during ECMO. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Time to PP during V-V ECMO was explored both as a continuous and a categorical variable with Cox proportional hazard models. Three hundred patients were included in the analysis. The longer the time to PP during V-V ECMO, the lower the adjusted probability of alive ICU discharge (adjusted hazard ratio [HR] 0.90 for each day increase; 95% CI, 0.87-0.93). Two hundred twenty-three and 77 patients were included in the early PP (≤ 5 d) and late PP (> 5 d) groups, respectively. The cumulative 90-day probability of being discharged alive from the ICU was 61% in the early PP group vs 36% in the late PP group (log-rank test, p <0.001). This benefit was maintained after adjustment for confounders (adjusted HR, 2.52; 95% CI, 1.66-3.81; p <0.001). In the early PP group, PP was associated with a significant improvement of Cpl,rs (4 ± 9 mL/cm H2O vs 0 ± 12 in the late PP group, p=0.038). CONCLUSIONS: In a large cohort of ARDS patients on ECMO, early PP during ECMO was associated with a higher probability of being discharged alive from the ICU at 90 days and a greater improvement of Cpl,rs.
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- 2023
13. Rare predicted loss-of-function variants of type I IFN immunity genes are associated with life-threatening COVID-19
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Matuozzo, D, Talouarn, E, Marchal, A, Zhang, P, Manry, J, Seeleuthner, Y, Zhang, Y, Bolze, A, Chaldebas, M, Milisavljevic, B, Gervais, A, Bastard, P, Asano, T, Bizien, L, Barzaghi, F, Abolhassani, H, Abou Tayoun, A, Aiuti, A, Alavi Darazam, I, Allende, L, Alonso-Arias, R, Arias, A, Aytekin, G, Bergman, P, Bondesan, S, Bryceson, Y, Bustos, I, Cabrera-Marante, O, Carcel, S, Carrera, P, Casari, G, Chaibi, K, Colobran, R, Condino-Neto, A, Covill, L, Delmonte, O, El Zein, L, Flores, C, Gregersen, P, Gut, M, Haerynck, F, Halwani, R, Hancerli, S, Hammarstrom, L, Hatipoglu, N, Karbuz, A, Keles, S, Kyheng, C, Leon-Lopez, R, Franco, J, Mansouri, D, Martinez-Picado, J, Metin Akcan, O, Migeotte, I, Morange, P, Morelle, G, Martin-Nalda, A, Novelli, G, Novelli, A, Palabiyik, F, Pan-Hammarstrom, Q, de Diego, R, Planas-Serra, L, Pleguezuelo, D, Prando, C, Pujol, A, Reyes, L, Riviere, J, Rodriguez-Gallego, C, Rojas, J, Rovere-Querini, P, Schluter, A, Shahrooei, M, Sobh, A, Soler-Palacin, P, Tandjaoui-Lambiotte, Y, Tipu, I, Tresoldi, C, Troya, J, van de Beek, D, Zatz, M, Zawadzki, P, Al-Muhsen, S, Alosaimi, M, Alsohime, F, Baris-Feldman, H, Butte, M, Constantinescu, S, Cooper, M, Dalgard, C, Fellay, J, Heath, J, Lau, Y, Lifton, R, Maniatis, T, Mogensen, T, von Bernuth, H, Lermine, A, Vidaud, M, Boland, A, Deleuze, J, Nussbaum, R, Kahn-Kirby, A, Mentre, F, Tubiana, S, Gorochov, G, Tubach, F, Hausfater, P, Al-Mulla, F, Anderson, M, Andreakos, E, Feldman, H, Belot, A, Biggs, C, Bogunovic, D, Bondarenko, A, Bousfiha, A, Brodin, P, Bustamante, C, Chakravorty, S, Christodoulou, J, Desai, M, Drolet, B, Baghdadi, J, Espinosa-Padilla, S, Froidure, A, Hagin, D, Henrickson, S, Hsieh, E, Husebye, E, Imai, K, Itan, Y, Jarvis, E, Karamitros, T, Kisand, K, Ku, C, Ling, Y, Lucas, C, Marodi, L, Milner, J, Mironska, K, Morio, T, Ng, L, O'Farrelly, C, Okada, S, Planas, A, Quintana-Murci, L, Renia, L, Resnick, I, Sancho-Shimizu, V, Sediva, A, Seppanen, M, Shcherbina, A, Slaby, O, Snow, A, Spaan, A, Tancevski, I, Tangye, S, Ramaswamy, S, Turvey, S, Uddin, F, Uddin, M, Vinh, D, Casanova, J, Vacher, Y, Gysembergh-Houal, A, Demerville, L, Chachoua, A, Abad, S, Abassi, R, Abdellaoui, A, Abdelmalek, A, Abdoul, H, Abergel, H, Abeud, F, Abgrall, S, Abisror, N, Adechian, M, Aderdour, N, Admane, H, Adnet, F, Afritt, S, Agostini, H, Aguilar, C, Agut, S, Aiello, T, Kaci, M, Oufella, H, Ajeenthiravasan, G, Alauzy, V, Alby-Laurent, F, Allard, L, Alyanakian, M, Borrero, B, Amam, S, Amrouche, L, Andronikof, M, Anglicheau, D, Anguel, N, Annane, D, Aounzou, M, Aparicio, C, Aratus, G, Arlet, J, Arzoine, J, Aslangul, E, Assefi, M, Aubry, A, Audiffred, L, Audureau, E, Auger, C, Auregan, J, Awotar, C, Milla, S, Azan, D, Azemar, L, Azzouguen, B, Elrufaai, M, Badsi, A, Bakouboula, P, Balcerowiak, C, Balde, F, Baldivia, E, Bangamingo, E, Baptiste, A, Baran-Marszak, F, Barau, C, Barget, N, Baronnet, F, Barthelemy, R, Baudel, J, Baudry, C, Baudry, E, Beaugerie, L, Belamri, A, Belaube, N, Belilita, R, Bellassen, P, Belmokhtar, R, Beltran, I, Benainous, R, Benallaoua, M, Benamouzig, R, Benbara, A, Benhida, J, Benkhelouf, A, Benlagha, J, Benmostafa, C, Benothmane, S, Bentifraouine, M, Berard, L, Bernier, Q, Berti, E, Bertier, A, Berton, L, Bessis, S, Beurton, A, Bianco, C, Bianquis, C, Bidar, F, Blanche, P, Blayau, C, Bleibtreu, A, Blin, E, Bloch-Queyrat, C, Boissier, M, Bollens, D, Bolzoni, M, Bompard, R, Bonnet, N, Bonnouvrier, J, Botha, S, Boucenna, W, Bouchama, F, Bouchaud, O, Bouchghoul, H, Boudjebla, T, Boudjema, N, Bouffard, C, Bougle, A, Bouguerra, M, Bouras, L, Bourcier, A, Durand, A, Bourrier, A, Bouscarat, F, Bouvry, D, Bouziri, N, Bouzrara, O, Bribier, S, Brugier, D, Brunel, M, Bui, E, Buisson, A, Bukreyeva, I, Bureau, C, Cadranel, J, Cailhol, J, Calin, R, Vega, C, Canavaggio, P, Cancella, M, Cantin, D, Cao, A, Carbillon, L, Carlier, N, Cassard, C, Castor, G, Cauchy, M, Cha, O, Chaigne, B, Challal, S, Champion, K, Chariot, P, Chas, J, Chauveau, S, Chauvin, A, Chauvin, C, Chavarot, N, Chebbout, K, Cherai, M, Cherubini, I, Chevalier, A, Chiarabini, T, Chinet, T, Chocron, R, Choinier, P, Chommeloux, J, Choquet, C, Choupeaux, L, Chousterman, B, Ciocan, D, Clarke, A, Clavere, G, Clavier, F, Clement, K, Clerc, S, Cohen, Y, Cohen, F, Cohen, A, Coilly, A, Colboc, H, Colin, P, Collet, M, Comarmond, C, Combacon, E, Combes, A, Comparon, C, Constantin, J, Cordel, H, Cordier, A, Costantini, A, Chalumeau, N, Couffignal, C, Coupeau, D, Creange, A, Lamarre, Y, Da Silveira, C, Kayani, S, De Castro, N, De Rycke, Y, Del Pozo, L, Delannoy, Q, Delay, M, Deleris, R, Delforge, J, Delphine, L, Demare, N, Demeret, S, Demoule, A, Deniau, A, Depret, F, Derolez, S, Derradji, O, Derridj, N, Descamps, V, Deschamps, L, Desconclois, C, Desnos, C, Desongins, K, Dhote, R, Diallo, B, Didier, M, Diemer, M, Diez, S, Djadi-Prat, J, Monnory, F, Djebara, S, Djebra, N, Djietcheu, M, Djillali, H, Djouadi, N, Donneger, S, Dos Santos, C, Dournon, N, Dres, M, Droctove, L, Drogrey, M, Dropy, M, Drouet, E, Dubosq, V, Dubreucq, E, Dubus, E, Duchemann, B, Duchenoy, T, Dudoignon, E, Dufau, R, Dumas, F, Duran, C, Duron, E, Durrbach, A, Duvivier, C, Ebstein, N, Khalifa, J, Elabbadi, A, Elie, C, Ernotte, G, Esling, A, Etienne, M, Eyer, X, Fartoukh, M, Fayali, T, Fermaut, M, Fiorentino, A, Fliss, S, Fournier, M, Fournier, B, Francois, H, Freynet, O, Frigout, Y, Fromont, I, Fuentes, A, Furet, T, Galand, J, Garnier, M, Gaubert, A, Gaudry, S, Gaugain, S, Gauthier, D, Gautier, M, Georgin-Lavialle, S, Geromin, D, Ghalayini, M, Ghaleh, B, Ghezal, M, Gibelin, A, Gimeno, L, Girard, B, Leprieur, B, Gomes, D, Gomes-Pires, E, Gouge, A, Gouja, A, Goulet, H, Goupil, S, De Bouille, J, Gras, J, Greffe, S, Grimaldi, L, Guedeney, P, Guidet, B, Guillo, M, Gulczynski, M, Hadjam, T, Haguenauer, D, Hammal, S, Hammoudi, N, Hanon, O, Harrois, A, Hautem, C, Hekimian, G, Heming, N, Hermine, O, Ho, S, Houllier, M, Huot, B, Huscenot, T, Saied, W, Ikherbane, G, Imarazene, M, Ingiliz, P, Iratni, L, Jaureguiberry, S, Jean-Marc, J, Jeyarajasingham, D, Jouany, P, Jouis, V, Jourdaine, C, Kafif, O, Kallala, R, Katsahian, S, Kelesyan, L, Keo, V, Ketz, F, Khamis, W, Khelili, E, Khellaf, M, Youkou, C, Kounis, I, Kpalma, G, Krause, J, Labbe, V, Lacombe, K, Lacorte, J, Lafont, A, Lafont, E, Lagha, L, Lamhaut, L, Lancelot, A, Landman, C, Lanternier, F, Larcheveque, C, Combe, C, Lassel, L, Laverdant, B, Lavergne, C, Lavillegrand, J, Lazureanu, P, Le Guennec, L, Leberre, L, Leblanc, C, Leboyer, M, Lecomte, F, Lecorre, M, Leenhardt, R, Lefebvre, M, Lefebvre, B, Legendre, P, Leger, A, Legros, L, Legrosse, J, Lehuunghia, S, Lemarec, J, Leporrier-Ext, J, Lesein, M, Lesur, H, Levy, V, Levy, A, Lopes, E, Lopes, A, Lopez, V, Lopinto, J, Lortholary, O, Louadah, B, Loze, B, Lucas, M, Lucasamichi, A, Luong, L, Magazimama-Ext, A, Maingret, D, Mameri, L, Manivet, P, Mansouri, C, Marcault, E, Marey, J, Marin, N, Marois, C, Martin, O, Martineau, L, Martinez-Lopez, C, Martyniuck, P, De Farcy, P, Marzouk, N, Masmoudi, R, Mebazaa, A, Mechai, F, Mecozzi, F, Mediouni, C, Megarbane, B, Meghadecha, M, Mejean, E, Mekinian, A, Abdelhadi, N, Mekni, R, Meliti, T, Lima, B, Meng, P, Merbah, S, Messani, F, Messaoudi, Y, Mewasing, B, Meziane, L, Michelot-Burger, C, Mignot, F, Minka, F, Miyara, M, Moine, P, Molina, J, Montegnies-Boulet, A, Monti, A, Montlahuc, C, Montout, A, Moores, A, Morbieu, C, Mortelette, H, Mouly, S, Muzaffar, R, Nacerddine, C, Nadal, M, Nadif, H, Nassarmadji, K, Natella, P, Ndingamondze, S, Neraal, S, Nguyen, C, N'Guyen, B, Larmurier, I, Nlomenyengue, L, Noel, N, Nunes, H, Omar, E, Ouazene, Z, Ouedraogo, E, Ouelaa, W, Oukhedouma, A, Amara, Y, Oya, H, Oziel, J, Padilla, T, Paillaud, E, Paiva, S, Parfait, B, Parize, P, Parizot, C, Parrot, A, Pavot, A, Peaudecerf, L, Pene, F, Pepin, M, Pernet, J, Pernin, C, Petit, M, Peyrony, O, Pietri, M, Pietri, O, De Chambrun, M, Pinson, M, Pintado, C, Pires, C, Planquette, B, Poirier, S, Pomel, A, Pons, S, Ponscarme, D, Pourcelot, A, Pourcher, V, Pouvaret, A, Prever, F, Previlon, M, Prevost, M, Provoost, M, Quemeneur, C, Rafat, C, Rami, A, Ranque, B, Raphael, M, Raphalen, J, Rastoin, A, Raux, M, Rebai, A, Reby, M, Regent, A, Regrag, A, Resche-Rigon, M, Ressaire, Q, Richard, C, Richard, M, Robert, M, Rohaut, B, Rolland-Debord, C, Ropers, J, Roque-Afonso, A, Rosso, C, Rousseaux, M, Rousseaux, N, Roux, S, Roux, L, Rouzaud, C, Rozes, A, Rubenstein, E, Sabate, J, Sabet, S, Sacleux, S, Kermanach, N, Saliba, F, Salmon, D, Savale, L, Savary, G, Sberro, R, Scemla, A, Schlemmer, F, Schwartz, M, Sedfi, S, Sefir-Kribel, S, Seksik, P, Sellier, P, Selves, A, Sembach, N, Semerano, L, Senat, M, Sene, D, Serris, A, Sese, L, Sghiouar, N, Sigaux, J, Siguier, M, Silvain, J, Simon, N, Simon, T, Skandri, L, Slimani, M, Snauwaert, A, Sokol, H, Soliman, H, Soltani, N, Soyer, B, Steg, G, Suarez, L, Szwebel, T, Taffame, K, Tantet, C, Tateo, M, Theodose, I, Thiebaud, P, Thomas, C, Tiercelet, K, Tisserand, J, Tomczak, C, Torelino, K, Touam-Ext, F, Toumi, L, Toury, G, Toy-Miou, M, Lien, O, Trandinh, A, Treluyer, J, Trinque, B, Truchot, J, Tunesi, S, Turpin, M, Turpin, A, Urbina, T, Narvaez, R, Uzunhan, Y, Vaittinadaayar, P, Valent, A, Valentian, M, Valin, N, Vallet, H, Vaz, M, Vazquezibarra, M, Vedie, B, Velly, L, Verstuyft, C, Viallette, C, Vicaut, E, Vignes, D, Vimpere, D, Virlouvet, M, Voiriot, G, Voisot, L, Weiss, E, Weiss, N, Winchenne, A, Yordanov, Y, Zafrani, L, Zaidan, M, Zaidi, W, Zak, C, Zarhrate-Ghoul, A, Zatout, O, Zeino, S, Zeitouni, M, Zemirli, N, Zerah, L, Zia, O, Ziol, M, Zolario, O, Zuber, J, Andrejak, C, Angoulvant, F, Bachelet, D, Bartoli, M, Basmaci, R, Behilill, S, Beluze, M, Benkerrou, D, Bhavsar, K, Bouadma, L, Bouchez, S, Bouscambert, M, Cervantes-Gonzalez, M, Chair, A, Coelho, A, D'Ortenzio, E, Debray, M, Deconinck, L, Deplanque, D, Descamps, D, Desvallee, M, Diallo, A, Diouf, A, Dorival, C, Dubos, F, Duval, X, Elharrar, B, Eloy, P, Enouf, V, Esperou, H, Esposito-Farese, M, Devouge, E, Gault, N, Gaymard, A, Ghosn, J, Gigante, T, Gilg, M, Guedj, J, Hoctin, A, Hoffmann, I, Houas, I, Hulot, J, Jaafoura, S, Kaguelidou, F, Kali, S, Khalil, A, Khan, C, Laouenan, C, Laribi, S, Le, M, Le Hingrat, Q, Le Mestre, S, Le Nagard, H, Lescure, F, Levy, Y, Lingas, G, Lucet, J, Malvy, D, Mambert, M, Meziane, A, Mouquet, H, Mullaert, J, Neant, N, Nguyen, D, Noret, M, Nseir, S, Papadopoulos, A, Paul, C, Peiffer-Smadja, N, Perpoint, T, Petrov-Sanchez, V, Peytavin, G, Pham, H, Picone, O, Puechal, O, Rabaud, C, Rosa-Calatrava, M, Rossignol, B, Rossignol, P, Roy, C, Schneider, M, Su, R, Tardivon, C, Tellier, M, Teoule, F, Terrier, O, Timsit, J, Tual, C, Van Der Werf, S, Vanel, N, Veislinger, A, Visseaux, B, Wiedemann, A, Yazdanpanah, Y, Alavoine, L, Behillil, S, Burdet, C, Charpentier, C, Dechanet, A, Ecobichon, J, Frezouls, W, Houhou, N, Lehacaut, J, Letrou, S, Lina, B, Manchon, P, Nouroudine, M, Piquard, V, Quintin, C, Thy, M, Vignali, V, Chahine, A, Waucquier, N, Migaud, M, Djossou, F, Mergeay-Fabre, M, Lucarelli, A, Demar, M, Bruneau, L, Gerardin, P, Maillot, A, Payet, C, Laviolle, B, Laine, F, Paris, C, Desille-Dugast, M, Fouchard, J, Pistone, T, Perreau, P, Gissot, V, Goas, C, Montagne, S, Richard, L, Chirouze, C, Bouiller, K, Desmarets, M, Meunier, A, Bourgeon, M, Lefevre, B, Jeulin, H, Legrand, K, Lomazzi, S, Tardy, B, Gagneux-Brunon, A, Bertholon, F, Botelho-Nevers, E, Christelle, K, Nicolas, L, Roufai, L, Amat, K, Couffin-Cadiergues, S, Hendou, S, Foti, G, Bellani, G, Citerio, G, Contro, E, Pesci, A, Valsecchi, M, Cazzaniga, M, Abad, J, Accordino, G, Achille, C, Aguilera-Albesa, S, Aguilo-Cucurull, A, Ozkan, E, Albisures, J, Aldave, J, Ramos, M, Khan, T, Aliberti, A, Nadji, S, Alkan, G, Alkhater, S, Allardet-Servent, J, Alshahrani, M, Alsina, L, Amoura, Z, Antoli, A, Arrestier, R, Aubart, M, Auguet, T, Avramenko, I, Azot, A, Bahram, S, Bajolle, F, Baldanti, F, Baldolli, A, Ballester, M, Barrou, B, Basso, S, Bayhan, G, Bezrodnik, L, Bilbao, A, Blanchard-Rohner, G, Blanco, I, 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E., Elabbadi A., Elie C., Ernotte G., Esling A., Etienne M., Eyer X., Fartoukh M., Fayali T., Fermaut M., Fiorentino A., Fliss S., Fournier M. -C., Fournier B., Francois H., Freynet O., Frigout Y., Fromont I., Fuentes A., Furet T., Galand J., Garnier M., Gaubert A., Gaudry S., Gaugain S., Gauthier D., Gautier M., Georgin-Lavialle S., Geromin D., Ghalayini M., Ghaleh B., Ghezal M., Gibelin A., Gimeno L., Girard B., Leprieur B. G., Gomes D., Gomes-Pires E., Gouge A., Gouja A., Goulet H., Goupil S., De Bouille J. G., Gras J., Greffe S., Grimaldi L., Guedeney P., Guidet B., Guillo M., Gulczynski M., Hadjam T., Haguenauer D., Hammal S., Hammoudi N., Hanon O., Harrois A., Hautem C., Hekimian G., Heming N., Hermine O., Ho S., Houllier M., Huot B., Huscenot T., Saied W. I., Ikherbane G., Imarazene M., Ingiliz P., Iratni L., Jaureguiberry S., Jean-Marc J. -F., Jeyarajasingham D., Jouany P., Jouis V., Jourdaine C., Kafif O., Kallala R., Katsahian S., Kelesyan L., Keo V., Ketz F., Khamis W., Khelili E., Khellaf M., Youkou C. G. K., Kounis I., Kpalma G., Krause J., Labbe V., Lacombe K., Lacorte J. -M., Lafont A. G., Lafont E., Lagha L., Lamhaut L., Lancelot A., Landman C., Lanternier F., Larcheveque C., Combe C. L., Lassel L., Laverdant B., Lavergne C., Lavillegrand J. -R., Lazureanu P., Le Guennec L., Leberre L., Leblanc C., Leboyer M., Lecomte F., Lecorre M., Leenhardt R., Lefebvre M., Lefebvre B., Legendre P., Leger A., Legros L., Legrosse J., Lehuunghia S., Lemarec J., Leporrier-Ext J., Lesein M., Lesur H., Levy V., Levy A., Lopes E., Lopes A., Lopez V., Lopinto J., Lortholary O., Louadah B., Loze B., Lucas M. -L., Lucasamichi A., Luong L. B., Magazimama-Ext A., Maingret D., Mameri L., Manivet P., Mansouri C., Marcault E., Marey J., Marin N., Marois C., Martin O., Martineau L., Martinez-Lopez C., Martyniuck P., De Farcy P. M., Marzouk N., Masmoudi R., Mebazaa A., Mechai F., Mecozzi F., Mediouni C., Megarbane B., Meghadecha M., Mejean E., Mekinian A., Abdelhadi N. M., Mekni R., Meliti T. S., Lima B. M., Meng P., Merbah S., Messani F., Messaoudi Y., Mewasing B. -I., Meziane L., Michelot-Burger C., Mignot F., Minka F. H., Miyara M., Moine P., Molina J. -M., Montegnies-Boulet A., Monti A., Montlahuc C., Montout A. -L., Moores A., Morbieu C., Mortelette H., Mouly S., Muzaffar R., Nacerddine C. I., Nadal M., Nadif H., Nassarmadji K., Natella P., Ndingamondze S., Neraal S., Nguyen C., N'Guyen B., Larmurier I. N., Nlomenyengue L., Noel N., Nunes H., Omar E., Ouazene Z., Ouedraogo E., Ouelaa W., Oukhedouma A., Amara Y. O., Oya H., Oziel J., Padilla T., Paillaud E., Paiva S., Parfait B., Parize P., Parizot C., Parrot A., Pavot A., Peaudecerf L., Pene F., Pepin M., Pernet J., Pernin C., Petit M., Peyrony O., Pietri M. -P., Pietri O., De Chambrun M. P., Pinson M., Pintado C., Pires C., Planquette B., Poirier S., Pomel A. -L., Pons S., Ponscarme D., Pourcelot A., Pourcher V., Pouvaret A., Prever F., Previlon M., Prevost M., Provoost M. -J., Quemeneur C., Rafat C., Rami A., Ranque B., Raphael M., Raphalen J. H., Rastoin A., Raux M., Rebai A., Reby M., Regent A., Regrag A., Resche-Rigon M., Ressaire Q., Richard C., Richard M., Robert M., Rohaut B., Rolland-Debord C., Ropers J., Roque-Afonso A. -M., Rosso C., Rousseaux M., Rousseaux N., Roux S., Roux L., Rouzaud C., Rozes A., Rubenstein E., Sabate J. -M., Sabet S., Sacleux S. -C., Kermanach N. S., Saliba F., Salmon D., Savale L., Savary G., Sberro R., Scemla A., Schlemmer F., Schwartz M., Sedfi S., Sefir-Kribel S., Seksik P., Sellier P., Selves A., Sembach N., Semerano L., Senat M. -V., Sene D., Serris A., Sese L., Sghiouar N., Sigaux J., Siguier M., Silvain J., Simon N., Simon T., Skandri L. I., Slimani M., Snauwaert A., Sokol H., Soliman H., Soltani N., Soyer B., Steg G., Suarez L., Szwebel T. -A., Taffame K., Tantet C., Tateo M., Theodose I., Thiebaud P., Thomas C., Tiercelet K., Tisserand J., Tomczak C., Torelino K., Touam-Ext F., Toumi L., Toury G., Toy-Miou M., Lien O. T. D. T., Trandinh A., Treluyer J. -M., Trinque B., Truchot J., Tunesi S., Turpin M., Turpin A., Urbina T., Narvaez R. U., Uzunhan Y., Vaittinadaayar P., Valent A., Valentian M., Valin N., Vallet H., Vaz M., Vazquezibarra M. -A., Vedie B., Velly L., Verstuyft C., Viallette C., Vicaut E., Vignes D., Vimpere D., Virlouvet M., Voiriot G., Voisot L., Weiss E., Weiss N., Winchenne A., Yordanov Y., Zafrani L., Zaidan M., Zaidi W., Zak C., Zarhrate-Ghoul A., Zatout O., Zeino S., Zeitouni M., Zemirli N., Zerah L., Zia O., Ziol M., Zolario O., Zuber J., Andrejak C., Angoulvant F., Bachelet D., Bartoli M., Basmaci R., Behilill S., Beluze M., Benkerrou D., Bhavsar K., Bouadma L., Bouchez S., Bouscambert M., Cervantes-Gonzalez M., Chair A., Coelho A., d'Ortenzio E., Debray M. -P., Deconinck L., Deplanque D., Descamps D., Desvallee M., Diallo A., Diouf A., Dorival C., Dubos F., Duval X., Elharrar B., Eloy P., Enouf V., Esperou H., Esposito-Farese M., Devouge E. F., Gault N., Gaymard A., Ghosn J., Gigante T., Gilg M., Guedj J., Hoctin A., Hoffmann I., Houas I., Hulot J. -S., Jaafoura S., Kaguelidou F., Kali S., Khalil A., Khan C., Laouenan C., Laribi S., Le M., Le Hingrat Q., Le Mestre S., Le Nagard H., Lescure F. -X., Levy Y., Lingas G., Lucet J. C., Malvy D., Mambert M., Meziane A., Mouquet H., Mullaert J., Neant N., Nguyen D., Noret M., Nseir S., Papadopoulos A., Paul C., Peiffer-Smadja N., Perpoint T., Petrov-Sanchez V., Peytavin G., Pham H., Picone O., Puechal O., Rabaud C., Rosa-Calatrava M., Rossignol B., Rossignol P., Roy C., Schneider M., Su R., Tardivon C., Tellier M. -C., Teoule F., Terrier O., Timsit J. -F., Tual C., Van Der Werf S., Vanel N., Veislinger A., Visseaux B., Wiedemann A., Yazdanpanah Y., Alavoine L., Behillil S., Burdet C., Charpentier C., Dechanet A., Ecobichon J. -L., Frezouls W., Houhou N., Lehacaut J., Letrou S., Lina B., Manchon P., Nouroudine M., Piquard V., Quintin C., Thy M., Vignali V., Chahine A., Waucquier N., Migaud M. -C., Djossou F., Mergeay-Fabre M., Lucarelli A., Demar M., Bruneau L., Gerardin P., Maillot A., Payet C., Laviolle B., Laine F., Paris C., Desille-Dugast M., Fouchard J., Pistone T., Perreau P., Gissot V., Goas C. L. E., Montagne S., Richard L., Chirouze C., Bouiller K., Desmarets M., Meunier A., Bourgeon M., Lefevre B., Jeulin H., Legrand K., Lomazzi S., Tardy B., Gagneux-Brunon A., Bertholon F., Botelho-Nevers E., Christelle K., Nicolas L., Roufai L., Amat K., Couffin-Cadiergues S., Hendou S., Foti G., Bellani G., Citerio G., Contro E., Pesci A., Valsecchi M. G., Cazzaniga M., Abad J., Accordino G., Achille C., Aguilera-Albesa S., Aguilo-Cucurull A., Ozkan E. A., Albisures J. A. R., Aldave J. C., Ramos M. A., Khan T. A., Aliberti A., Nadji S. A., Alkan G., AlKhater S. A., Allardet-Servent J., Alshahrani M. S., Alsina L., Amoura Z., Antoli A., Arrestier R., Aubart M., Auguet T., Avramenko I., Azot A., Bahram S., Bajolle F., Baldanti F., Baldolli A., Ballester M., Barrou B., Basso S., Bayhan G. I., Bezrodnik L., Bilbao A., Blanchard-Rohner G., Blanco I., Blandinieres A., Blazquez-Gamero D., Bloomfield M., Bolivar-Prados M., Borghesi A., Borie R., Botdhlo-Nevers E., Bousquet A., Boutolleau D., Bouvattier C., Boyarchuk O., Bravais J., Briones M. L., Brunner M. -E., Bruno R., Bueno M. R. P., Bukhari H., Bustamante J., Agra J. J. C., Capra R., Carapito R., Carrabba M., Casasnovas C., Caseris M., Cassaniti I., Castelle M., Castelli F., de Vera M. C., Castro M. V., Catherinot E., Celik J. B., Ceschi A., Chalumeau M., Charbit B., Cheng M. P., Clave P., Clotet B., Codina A., Comoli P., Corsico A. G., Sozeri B., Coskuner T., Cvetkovski A., Cyrus C., Dalmau D., Danion F., Darley D. R., Das V., Dauby N., Dauger S., De Munter P., de Pontual L., Dehban A., Delplancq G., Desguerre I., Di Sabatino A., Diehl J. -L., Dobbelaere S., Dominguez-Garrido E., Dubost C., Ekwall O., Bozdemir S. E., Elnagdy M. H., Emiroglu M., Endo A., Erdeniz E. H., Aytekin S. E., Lasa M. P. E., Euvrard R., Fabio G., Faivre L., Falck A., Faure M., Arquero M. F., Ferrer R., Ferreres J., Francois B., Fumado V., Fung K. S. C., Fusco F., Gagro A., Solis B. G., Garcon P., Gaussem P., Gayretli Z., Gil-Herrera J., Gilardin L., Gatineau A. G., Girona-Alarcon M., Godinez K. A. C., Goffard J. -C., Gonzales N., Gonzalez-Granado L. I., Gonzalez-Montelongo R., Guerder A., Gulhan B., Gumucio V. D., Hanitsch L. G., Gunst J., Hadjadj J., Hariyan T., Heppekcan D., Hernandez-Brito E., Ho P. -K., Holanda-Pena M. S., Horcajada J. P., Hraiech S., Humbert L., Hung I. F. N., Iglesias A. D., Inigo-Campos A., Jamme M., Arranz M. J., Jimeno M. -T., Jordan I., Yuksek S. K., Kara Y. B., Karahan A., Yasar K. K., Kasapcopur O., Kashimada K., Demirkol Y. K., Kido Y., Kizil C., Kilic A. O., Klocperk A., Koutsoukou A., Krol Z. J., Ksouri H., Kuentz P., Kwan A. M. C., Kwan Y. W. M., Kwok J. S. Y., Lagier J. -C., Lam D. S. Y., Lampropoulou V., Le Bourgeois F., Leo Y. -S., Leung D., Levin M., Levy M., Levy R., Li Z., Lilleri D., Lima E. J. A. B., Linglart A., Lopez-Collazo E., Lorenzo-Salazar J. M., Louapre C., Lubetzki C., Lung K. -C., Luyt C. -E., Lye D. C., Magnone C., Marchioni E., Marioli C., Marjani M., Marques L., Pereira J. M., Pueyo D. M., Marzana I., Mata-Martinez C., Mathian A., Matos L. R. B., Matthews G. V., Mayaux J., McLaughlin-Garcia R., Meersseman P., Mege J. -L., Mekontso-Dessap A., Melki I., Meloni F., Meritet J. -F., Merlani P., Akcan O. M., Mezidi M., Millereux M., Million M., Mirault T., Mircher C., Mirsaeidi M., Mizoguchi Y., Modi B. P., Mojoli F., Moncomble E., Melian A. M., Martinez A. M., Morandeira F., Mordacq C., Mouly S. J., Munoz-Barrera A., Nafati C., Nagashima S., Nakagama Y., Neven B., Neves J. F., Ng Y. -Y., Nielly H., Medina Y. N., Cuadros E. N., Ocejo-Vinyals J. G., Okamoto K., Oualha M., Ouedrani A., Ozcelik T., Ozkaya-Parlakay A., Pagani M., Papadaki M., Parola P., Pascreau T., Paul S., Paz-Artal E., Pedraza S., Pellecer N. C. G., Pellegrini S., Perez-Fernandez X. L., Philippe A., Philippot Q., Picod A., Piralla A., Ploin D., Poissy J., Poncelet G., Poulakou G., Pouletty M. S., Pourshahnazari P., Qiu-Chen J. L., Quentric P., Rambaud T., Raoult D., Raoult V., Rebillat A. -S., Redin C., Resmini L., Ricart P., Richard J. -C., Rigo-Bonnin R., rivet N., Rocamora-Blanch G., Rodero M. P., Rodrigo C., Rodriguez L. A., Rodriguez-Palmero A., Romero C. S., Rothenbuhler A., Roux D., Rovina N., Rozenberg F., Ruch Y., Ruiz M., del Prado M. Y. R., Ruiz-Rodriguez J. C., Sabater-Riera J., Saks K., Salagianni M., Sanchez O., Sanchez-Montalva A., Sanchez-Ramon S., Schidlowski L., Schmidt J., Schmidt M., Schuetz C., Schweitzer C. E., Scolari F., Seijo L., Seminario A. G., Seng P., Senoglu S., Seppanen M., Llovich A. S., Siguret V., Siouti E., Smadja D. M., Smith N., Solanich X., Sole-Violan J., Soler C., Stella G. M., Stepanovskiy Y., Stoclin A., Taccone F., Taupin J. -L., Tavernier S. J., Tello L. V., Terrier B., Thiery G., Thorball C., Thorn K., Thumerelle C., Tolstrup M., Tomasoni G., Toubiana J., Alvarez J. T., Triantafyllia V., Trouillet-Assant S., Tsang O. T. Y., Tserel L., Tso E. Y. K., Tucci A., Oz S. K. T., Ursini M. V., Utsumi T., Vabres P., Valencia-Ramos J., Van Den Rym A. M., Vandernoot I., Velez-Santamaria V., Veliz S. P. Z., Vidigal M. C., Viel S., Villain C., Vilaire-Meunier M. E., Villar-Garcia J., Vincent A., Volokha A., Vuotto F., Wauters E., Wauters J., Wu A. K. L., Wu T. -C., Yahsi A., Yesilbas O., Yildiz M., Young B. E., Yukselmis U., Zecca M., Zuccaro V., Van Praet J., Lambrecht B. N., Van Braeckel E., Bosteels C., Hoste L., Hoste E., Bauters F., De Clercq J., Heijmans C., Slabbynck H., Naesens L., Florkin B., Boulanger C., Vanderlinden D., Berkell M., Carelli V., Malhotra S., Mattiaccio A., Pippucci T., Seri M., Tacconelli E., van Agtmael M., Algera A. G., Appelman B., van Baarle F., Bax D., Beudel M., Bogaard H. J., Bomers M., Bonta P., Bos L., Botta M., de Brabander J., de Bree G., de Bruin S., Buis D. T. P., Bugiani M., Bulle E., Cloherty O. C. A., Dijkstra M., Dongelmans D. A., Dujardin R. W. G., Elbers P., Fleuren L., Geijtenbeek S. G. T., Girbes A., Goorhuis B., Grobusch M. P., Hafkamp F., Hagens L., Hamann J., Harris V., Hemke R., Heunks S. M. H. L., Hollmann M., Horn J., Hovius J. W., de Jong M. D., Koning R., Lim E. H. T., van Mourik N., Nellen J., Nossent E. J., Paulus F., Peters E., Pina-Fuentes D. A. I., van der Poll T., Preckel B., Prins J. M., Raasveld J., Reijnders T., de Rotte M. C. F. J., Schinkel M., Schultz M. J., Schrauwen F. A. P., Schuurmans A., Schuurmans J., Sigaloff K., Slim M. A., Smeele P., Smit M., Stijnis C. S., Stilma W., Teunissen C., Thoral P., Tsonas A. M., Tuinman P. R., van der Valk M., Veelo D., Volleman C., de Vries H., Vught L. A., van Vugt M., Wouters D., Zwinderman A. H., Brouwer M. C., Wiersinga W. J., Vlaar A. P. J., Tompkins M. F., Alba C., Hupalo D. N., Rosenberger J., Sukumar G., Wilkerson M. D., Zhang X., Lack J., Oler A. J., Dobbs K., Danielson J. J., Biondi A., Bettini L. R., D'Angio' M., Beretta I., Imberti L., Sottini A., Quaresima V., Quiros-Roldan E., Rossi C., Meyts I., Zhang S. -Y., Puel A., Notarangelo L. D., Boisson-Dupuis S., Su H. C., Boisson B., Jouanguy E., Zhang Q., Abel L., and Cobat A.
- Abstract
Background: We previously reported that impaired type I IFN activity, due to inborn errors of TLR3- and TLR7-dependent type I interferon (IFN) immunity or to autoantibodies against type I IFN, account for 15–20% of cases of life-threatening COVID-19 in unvaccinated patients. Therefore, the determinants of life-threatening COVID-19 remain to be identified in ~ 80% of cases. Methods: We report here a genome-wide rare variant burden association analysis in 3269 unvaccinated patients with life-threatening COVID-19, and 1373 unvaccinated SARS-CoV-2-infected individuals without pneumonia. Among the 928 patients tested for autoantibodies against type I IFN, a quarter (234) were positive and were excluded. Results: No gene reached genome-wide significance. Under a recessive model, the most significant gene with at-risk variants was TLR7, with an OR of 27.68 (95%CI 1.5–528.7, P = 1.1 × 10−4) for biochemically loss-of-function (bLOF) variants. We replicated the enrichment in rare predicted LOF (pLOF) variants at 13 influenza susceptibility loci involved in TLR3-dependent type I IFN immunity (OR = 3.70[95%CI 1.3–8.2], P = 2.1 × 10−4). This enrichment was further strengthened by (1) adding the recently reported TYK2 and TLR7 COVID-19 loci, particularly under a recessive model (OR = 19.65[95%CI 2.1–2635.4], P = 3.4 × 10−3), and (2) considering as pLOF branchpoint variants with potentially strong impacts on splicing among the 15 loci (OR = 4.40[9%CI 2.3–8.4], P = 7.7 × 10−8). Finally, the patients with pLOF/bLOF variants at these 15 loci were significantly younger (mean age [SD] = 43.3 [20.3] years) than the other patients (56.0 [17.3] years; P = 1.68 × 10−5). Conclusions: Rare variants of TLR3- and TLR7-dependent type I IFN immunity genes can underlie life-threatening COVID-19, particularly with recessive inheritance, in patients under 60 years old.
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- 2023
14. gG and aR fuse DC arcing model for converter sizing
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Reymond-Laruina, F., primary, Barnel, N., additional, Hadbi, D., additional, Egrot, P., additional, Queval, L., additional, and Petit, M., additional
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- 2023
- Full Text
- View/download PDF
15. Prone positioning during venovenous extracorporeal membrane oxygenation for acute respiratory distress syndrome: a pooled individual patient data analysis
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Giani, M, Rezoagli, E, Guervilly, C, Rilinger, J, Duburcq, T, Petit, M, Textoris, L, Garcia, B, Wengenmayer, T, Grasselli, G, Pesenti, A, Combes, A, Foti, G, Schmidt, M, Bellani, G, Martucci, G, Arcadipane, A, Lucchini, A, Garofalo, E, Belliato, M, Fanelli, V, Papazian, L, Forel, J, Hraiech, S, Roch, A, Prud'Homme, E, Luyt, C, Hekimian, G, Chommeloux, J, Pineton de Chambrun, M, Brechot, N, Staudacher, D, Supady, A, Biever, P, Zotzmann, V, Bemtgen, X, Sekandarzad, A, Kruger, K, Flugler, A, Parmentier-Decrucq, E, Poissy, J, Gaudet, A, Moussa, M, Vincentelli, A, Giani M., Rezoagli E., Guervilly C., Rilinger J., Duburcq T., Petit M., Textoris L., Garcia B., Wengenmayer T., Grasselli G., Pesenti A., Combes A., Foti G., Schmidt M., Bellani G., Martucci G., Arcadipane A., Lucchini A., Garofalo E., Belliato M., Fanelli V., Papazian L., Forel J. -M., Hraiech S., Roch A., Prud'homme E., Luyt C. E., Hekimian G., Chommeloux J., Pineton de Chambrun M., Brechot N., Staudacher D. L., Supady A., Biever P., Zotzmann V., Bemtgen X., Sekandarzad A., Kruger K., Flugler A., Parmentier-Decrucq E., Poissy J., Gaudet A., Moussa M. D., Vincentelli A., Giani, M, Rezoagli, E, Guervilly, C, Rilinger, J, Duburcq, T, Petit, M, Textoris, L, Garcia, B, Wengenmayer, T, Grasselli, G, Pesenti, A, Combes, A, Foti, G, Schmidt, M, Bellani, G, Martucci, G, Arcadipane, A, Lucchini, A, Garofalo, E, Belliato, M, Fanelli, V, Papazian, L, Forel, J, Hraiech, S, Roch, A, Prud'Homme, E, Luyt, C, Hekimian, G, Chommeloux, J, Pineton de Chambrun, M, Brechot, N, Staudacher, D, Supady, A, Biever, P, Zotzmann, V, Bemtgen, X, Sekandarzad, A, Kruger, K, Flugler, A, Parmentier-Decrucq, E, Poissy, J, Gaudet, A, Moussa, M, Vincentelli, A, Giani M., Rezoagli E., Guervilly C., Rilinger J., Duburcq T., Petit M., Textoris L., Garcia B., Wengenmayer T., Grasselli G., Pesenti A., Combes A., Foti G., Schmidt M., Bellani G., Martucci G., Arcadipane A., Lucchini A., Garofalo E., Belliato M., Fanelli V., Papazian L., Forel J. -M., Hraiech S., Roch A., Prud'homme E., Luyt C. E., Hekimian G., Chommeloux J., Pineton de Chambrun M., Brechot N., Staudacher D. L., Supady A., Biever P., Zotzmann V., Bemtgen X., Sekandarzad A., Kruger K., Flugler A., Parmentier-Decrucq E., Poissy J., Gaudet A., Moussa M. D., and Vincentelli A.
- Abstract
Background: Prone positioning (PP) reduces mortality of patients with acute respiratory distress syndrome (ARDS). The potential benefit of prone positioning maneuvers during venovenous extracorporeal membrane oxygenation (ECMO) is unknown. The aim of this study was to evaluate the association between the use of prone positioning during extracorporeal support and ICU mortality in a pooled population of patients from previous European cohort studies. Methods: We performed a pooled individual patient data analysis of European cohort studies which compared patients treated with prone positioning during ECMO (Prone group) to “conventional” ECMO management (Supine group) in patients with severe ARDS. Results: 889 patients from five studies were included. Unadjusted ICU mortality was 52.8% in the Supine Group and 40.8% in the Prone group. At a Cox multiple regression analysis PP during ECMO was not significantly associated with a reduction of ICU mortality (HR 0.67 95% CI: 0.42–1.06). Propensity score matching identified 227 patients in each group. ICU mortality of the matched samples was 48.0% and 39.6% for patients in the Supine and Prone group, respectively (p = 0.072). Conclusions: In a large population of ARDS patients receiving venovenous extracorporeal support, the use of prone positioning during ECMO was not significantly associated with reduced ICU mortality. The impact of this procedure will have to be definitively assessed by prospective randomized controlled trials.
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- 2022
16. Unveiling the atomic position of C in Mn5Ge3Cx thin films
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Michez L. -A., Petit M., Heresanu V., Le Thanh V., Prestat E., D'Acapito F., Ramasse Q., Boscherini F., Pochet P., Jamet M., Centre Interdisciplinaire de Nanoscience de Marseille (CINaM), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), School of Materials, University of Manchester, European Synchroton Radiation Facility [Grenoble] (ESRF), CNR Istituto Officina dei Materiali (IOM), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), National Facility for Aberration Corrected STEM (SuperSTEM), SciTechDaresbury Campus, Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), SPINtronique et TEchnologie des Composants (SPINTEC), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche Interdisciplinaire de Grenoble (IRIG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Grenoble Alpes (UGA), Michez L.-A., Petit M., Heresanu V., Le Thanh V., Prestat E., D'Acapito F., Ramasse Q., Boscherini F., Pochet P., and Jamet M.
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X-ray absorption fine structure ,Doping ,[PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci] ,semiconductor - Abstract
International audience; Heavily carbon-doped Mn$_5$Ge$_3$ is a unique compound for spintronics applications as it meets all the requirements for spin injection and detection in group-IV semiconductors. Despite the great improvement of the magnetic properties induced by C incorporation into Mn$_5$Ge$_3$ compounds, very little information is available on its structural properties and the genuine role played by C atoms. In this paper, we have used a combination of advanced techniques to extensively characterize the structural and magnetic properties of Mn$_5$Ge$_3$C$_x$ films grown on Ge(111) by solid phase epitaxy as a function of C concentration. The increase of the Curie temperature induced by C doping up to 435 K is accompanied by a decrease of the out-of-plane c-lattice parameter. The Mn and C chemical environments and positions in the Mn$_5$Ge$_3$ lattice have been thoroughly investigated using x-ray absorption spectroscopy techniques (x-ray absorption near-edge structures and extended x-ray absorption fine structures) and scanning transmission electronic microscopy (STEM) combined to electron energy loss spectroscopy for the chemical analysis. The results have been systematically compared to a variety of structures that were identified as favorable in terms of formation energy by ab initio calculations. For $x \le$ 0.5, the C atoms are mainly located in the octahedral voids formed by Mn atoms, which is confirmed by simulations and seen for the first time in real space by STEM. However, the latter reveals an inhomogeneous C incorporation, which is qualitatively correlated to the broad magnetic transition temperature. A higher C concentration leads to theformation of manganese carbide clusters that we identified as Mn$_{23}$C$_6$. Interestingly, other types of defects, such as interstitial Ge atoms, vacancies of Mn, and their association into line defects have been detected. They take part in the strain relaxation process and are likely to be intimately related to the growth process. This paper provides a complete picture of the structure of Mn$_5$Ge$_3$C$_x$ in thin films grown by solid phase epitaxy, which is essential for optimizing their magnetic properties.
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- 2022
17. MINAS TIRITH: a new tool for simulating radiation-induced DNA damage at the cell population level
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Thibaut, Y, primary, Gonon, G, additional, Martinez, J S, additional, Petit, M, additional, Vaurijoux, A, additional, Gruel, G, additional, Villagrasa, C, additional, Incerti, S, additional, and Perrot, Y, additional
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- 2023
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18. Estimation of the parameters of a LVAC cable for a LVDC grid application
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Binot, F., primary, Reymond-Laruina, F., additional, Queval, L., additional, and Petit, M., additional
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- 2023
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19. Unveiling the reactivity of epoxides in carbonated epoxidized soybean oil and application in the stepwise synthesis of hybrid poly(hydroxyurethane) thermosets
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Helbling, P., primary, Hermant, F., additional, Petit, M., additional, Tassaing, T., additional, Vidil, T., additional, and Cramail, H., additional
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- 2023
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20. Probabilistic analysis for a robust zero-sequence fault location method for MV distribution feeders
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Bach, A., primary, Le, T. D., additional, and Petit, M., additional
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- 2023
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21. Improved method for earth fault location in MV distribution networks with compensated neutral grounding
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Salhab, E., primary, Lebourg, Q., additional, Croteau, D., additional, Le, T.D., additional, and Petit, M., additional
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- 2023
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22. Impacts of low voltage distribution grid resilience constraints on AC/DC converter sizing
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Reymond-Laruina, F., primary, Queval, L., additional, Hadbi, D., additional, Egrot, P., additional, Petit, M., additional, and Cordonnier, M., additional
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- 2023
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23. Constitution d’une équipe de pharmacie clinique inter-établissement : l’union fait la force… des petites pharmacies à usage intérieur
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Cesbron, S., primary, Petit, M., additional, Papin, N., additional, Metayer, K., additional, Langlais, A., additional, Tessier, P., additional, Choblet, S., additional, and Fournier, V., additional
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- 2022
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24. Les lymphocytes T effecteurs mémoires CD4+ SLAMF4+ CCR5+ représentent une nouvelle sous-population cellulaire hautement cytotoxique et fortement impliquée dans la polyarthrite rhumatoïde
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Lacaud, M., primary, Petit, M., additional, Semerano, L., additional, Sigaux, J., additional, Boissier, M.C., additional, Bessis, N., additional, and Biton, J., additional
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- 2022
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25. Picc-line et mid-line : conception d’un référentiel de compétences du patient
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Petit, M., primary, Dumont, R., additional, Craneguy, C., additional, Desfriches-Doria, N., additional, Sellal, O., additional, Huon, J., additional, and Feldman, D., additional
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- 2022
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26. Mise en place d’entretiens pharmaceutiques pour les patients porteurs d’un cathéter à chambre implantable : évaluation des connaissances acquises par le patient
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Nizet, P., primary, Grivel, C., additional, Petit, M., additional, Duchalais, E., additional, and Huon, J.-F., additional
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- 2022
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27. Évaluation des déprescriptions d’inhibiteurs de pompe à protons dans le parcours de soins des patients inclus dans un dispositif territorial de pharmacie clinique
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Petit, M., Corvaisier, M., Laffilhe, J.L., and Spiesser-Robelet, L.
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- 2024
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28. Mise en place de consultations pharmaceutiques d’initiation en oncologie digestive dans un centre hospitalo-universitaire français : bilan à 1 an
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Chapron, P., Petit, M., Huon, J.F., and Nizet, P.
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- 2024
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29. Benchmarking of deep learning algorithms for 3D instance segmentation of confocal image datasets
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Guillaume Cerutti, Christophe Godin, Jan Traas, Yassin Refahi, Anuradha Kar, Petit M, Reproduction et développement des plantes (RDP), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut du Cerveau = Paris Brain Institute (ICM), 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 Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Simulation et Analyse de la morphogenèse in siliCo (MOSAIC), Inria Lyon, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Fractionnement des AgroRessources et Environnement (FARE), Université de Reims Champagne-Ardenne (URCA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), and ROSSI, Sabine
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Computer science ,Confocal ,media_common.quotation_subject ,[INFO.INFO-IM] Computer Science [cs]/Medical Imaging ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Adaptability ,Image (mathematics) ,Cellular and Molecular Neuroscience ,Deep Learning ,Imaging, Three-Dimensional ,Market segmentation ,[INFO.INFO-IM]Computer Science [cs]/Medical Imaging ,Genetics ,Image Processing, Computer-Assisted ,Segmentation ,Molecular Biology ,Ecology, Evolution, Behavior and Systematics ,media_common ,Ecology ,business.industry ,Deep learning ,Pattern recognition ,Image segmentation ,Visualization ,Benchmarking ,Computational Theory and Mathematics ,Modeling and Simulation ,Artificial intelligence ,business ,Algorithms - Abstract
Segmenting three dimensional microscopy images is essential for understanding phenomena like morphogenesis, cell division, cellular growth and genetic expression patterns. Recently, deep learning (DL) pipelines have been developed which claim to provide high accuracy segmentation of cellular images and are increasingly considered as the state-of-the-art for image segmentation problems. However, it remains difficult to define their relative performances as the concurrent diversity and lack of uniform evaluation strategies makes it difficult to know how their results compare. In this paper, we first made an inventory of the available DL methods for 3 dimensional (3D) cell segmentation. We next implemented and quantitatively compared a number of representative DL pipelines, alongside a highly efficient non-DL method named MARS. The DL methods were trained on a common dataset of 3D cellular confocal microscopy images. Their segmentation accuracies were also tested in the presence of different image artifacts. A specific method for segmentation quality evaluation was adopted which isolates segmentation errors due to under/over segmentation. This is complemented with a 3D visualization strategy for interactive exploration of segmentation quality. Our analysis shows that the DL pipelines have different levels of accuracy. Two of them, which are end to end 3D and were originally designed for cell boundary detection, show high performance, and offer clear advantages in terms of adaptability to new data.Author summaryIn recent years a number of deep learning (DL) algorithms based on computational neural networks have been developed which claim to achieve high accuracy and automatic segmentation of 3D microscopy images. Although these algorithms have received considerable attention in the literature, it is difficult to evaluate their relative performances, while it remains unclear whether they really perform better than other, more classical segmentation methods.To clarify these issues, we performed a detailed, quantitative analysis of a number of representative DL pipelines for cell instance segmentation from 3D confocal microscopy image datasets. We developed a protocol for benchmarking the performances of such DL based segmentation pipelines using common training and test datasets, evaluation metrics and visualizations. Using this protocol, we evaluated and compared four different DL pipelines to identify their strengths and limitations. A high performance non-DL method was also included in the evaluation. We show that DL pipelines may show significant differences in their performances depending on their model architecture and pipeline components but overall show excellent adaptability to unseen data. We also show that our benchmarking protocol could be extended to a variety of segmentation pipelines and datasets.
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- 2022
30. Highly ordered carbon penetration into the Mn5Ge3Cx lattice: A superstructure in Mn5Ge3C0.5 inferred from a Mn55 NMR study
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Kalvig, R., Jedryka, E., Wojcik, M., Petit, M., Michez, L., Institute of Physics [Warsaw] (IFPAN), and Polish Academy of Sciences (PAN)
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[PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci] - Abstract
International audience
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- 2022
31. A holistic contribution to fast innovation in electric vehicles: An overview of the DEMOBASE research project
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Bordes, A, Danilov, DL, Desprez, P, Lecocq, A, Marlair, G, Truchot, B, Dahmani, M, Siret, C, Laurent, S, Herreyre, S, Dominget, A, Hamelin, L, Rigobert, G, Benjamin, S, Legrand, N, Belerrajoul, M, Maurer, W, Chen, Z, Raijmakers, LHJ, Li, D, Zhou, J, Notten, PHL, Perlo, P, Biasiotto, M, Introzzi, R, Petit, M, Martin, J, Bernard, J, Koffel, S, Lorentz, V, Durling, E, Kolari, S, Wang, Z, Massazza, M, Lamontarana, S, Bordes, A, Danilov, DL, Desprez, P, Lecocq, A, Marlair, G, Truchot, B, Dahmani, M, Siret, C, Laurent, S, Herreyre, S, Dominget, A, Hamelin, L, Rigobert, G, Benjamin, S, Legrand, N, Belerrajoul, M, Maurer, W, Chen, Z, Raijmakers, LHJ, Li, D, Zhou, J, Notten, PHL, Perlo, P, Biasiotto, M, Introzzi, R, Petit, M, Martin, J, Bernard, J, Koffel, S, Lorentz, V, Durling, E, Kolari, S, Wang, Z, Massazza, M, and Lamontarana, S
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This paper is a contribution to fasten integration of battery pack innovation in commercial Electric Vehicles (EV) through massive digitalization: a seamless process detailed for battery design, battery safety, and battery management. Selected results of studies carried out on the EV value chain from design to recycling steps are presented, highlighting the importance of seamless integration and holistic state of mind when designing EV. Association between experimental and numerical approaches for efficient innovative EV production is crucial to achieve easy commercialisation. Successful forecasting of aging and thermal runaway evolution from single cell failure at module level using such methods illustrates their great potential. Hardware key counterparts under development are also introduced and give an idea of future architecture of EV battery packs and overall improvement of EV energy efficiency. Finally, a flexible and easily modifiable solution for battery electric vehicle (BEV) that allows rapid and cost-effective integration of future innovation is presented. This paper globally illustrates key breakthroughs gained in the context of the collaborative research project named ‘DEMOBASE’, for DEsign and MOdelling for improved BAttery Safety and Efficiency successfully submitted for funding by the European Commission in response to a 2017 call dedicated to ‘Green Vehicles’ under the EU Horizon 2020 work programme “Smart, green and integrated transport”.
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- 2022
32. L’adaptation des systèmes de production agricole, animale et végétale, aux changements de contexte environnemental, agricole et social. Innovations Agronomiques 86, 419-437
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Ubertosi, M., Brunschwig, G., Castel, T., Chapuis, D., Goron, J.-P., Guinet, M., Jarousse, A., Larmure, A., Lecomte, C., Manteaux, J.-P., Mondière, A., Mosnier, C., Nicolardot, B., Petit, M.-S., Queyrel, W., Tanguy, C., Thiery, E., Vergote, M.-H., Veysset, P., Voisin, A.-S., and Laroche, C.
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- 2022
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33. Identification of candidate molecular determinants of the vector competence of Ixodes ricinus for members of the tick-borne encephalitis virus complex
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Lemasson, M, Petit, M, Sourisseau, M, Caignard, G, Unterfinger, Y, Attoui, H, Bell-Sakyi, L, Moutailler, S, Simo, L, Johnson, N, Vitour, D, Saleh, Mc, Richardson, J, Lacour, Sa, and Moutailler, Sara
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[SDV] Life Sciences [q-bio] ,ticks - Published
- 2022
34. Design of an Estimator Using the Artificial Neural Network Technique to Characterise the Braking of a Motor Vehicle
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Garrosa, María, primary, Olmeda, Ester, additional, Díaz, Vicente, additional, and Mendoza-Petit, Mᵃ Fernanda, additional
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- 2022
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35. Impact of electric vehicle and solar PV in distribution grid. A data-driven survey
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Gonzalez Venegas, F., primary and Petit, M., additional
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- 2022
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36. A zero-sequence impedance-based fault location method for MV distribution feeders with sparse measurements
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Bach, A., primary, Le, T. -D., additional, and Petit, M., additional
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- 2022
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37. Conception, réalisation et évaluation d’une démarche éducative auprès des patients porteurs de PICC lineet midline
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Petit, M., Dumont, R., Huon, J.-F., Sellal, O., and Feldman, D.
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•Le référentiel de compétences du patient porteur de PICC line/midlinea été rédigé.•Un guide d’entretien a été élaboré pour aider les professionnels de santé.•La majorité des patients est très satisfaite de la démarche éducative.
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- 2023
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38. Timing of Prone Positioning During Venovenous Extracorporeal Membrane Oxygenation for Acute Respiratory Distress Syndrome
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Marco, Giani, Emanuele, Rezoagli, Christophe, Guervilly, Jonathan, Rilinger, Thibault, Duburcq, Matthieu, Petit, Laura, Textoris, Bruno, Garcia, Tobias, Wengenmayer, Giacomo, Bellani, Giacomo, Grasselli, Antonio, Pesenti, Alain, Combes, Giuseppe, Foti, Matthieu, Schmidt, André, Vincentelli, Giani, M, Rezoagli, E, Guervilly, C, Rilinger, J, Duburcq, T, Petit, M, Textoris, L, Garcia, B, Wengenmayer, T, Bellani, G, Grasselli, G, Pesenti, A, Combes, A, Foti, G, and Schmidt, M
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respiratory mechanic ,intensive care unit discharge ,acute respiratory distress syndrome ,extracorporeal membrane oxygenation ,Critical Care and Intensive Care Medicine ,prone positioning - Abstract
OBJECTIVES: To assess the association of timing to prone positioning (PP) during venovenous extracorporeal membrane oxygenation (V-V ECMO) with the probability of being discharged alive from the ICU at 90 days (primary endpoint) and the improvement of the respiratory system compliance (Cpl,rs). DESIGN: Pooled individual data analysis from five original observational cohort studies. SETTING: European extracorporeal membrane oxygenation (ECMO) centers. PATIENTS: Acute respiratory distress syndrome (ARDS) patients who underwent PP during ECMO. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Time to PP during V-V ECMO was explored both as a continuous and a categorical variable with Cox proportional hazard models. Three hundred patients were included in the analysis. The longer the time to PP during V-V ECMO, the lower the adjusted probability of alive ICU discharge (adjusted hazard ratio [HR] 0.90 for each day increase; 95% CI, 0.87-0.93). Two hundred twenty-three and 77 patients were included in the early PP (≤ 5 d) and late PP (> 5 d) groups, respectively. The cumulative 90-day probability of being discharged alive from the ICU was 61% in the early PP group vs 36% in the late PP group (log-rank test, p
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- 2022
39. Phage-host coevolution in natural populations
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Damien Piel, Maxime Bruto, Yannick Labreuche, François Blanquart, David Goudenège, Rubén Barcia-Cruz, Sabine Chenivesse, Sophie Le Panse, Adèle James, Javier Dubert, Bruno Petton, Erica Lieberman, K. Mathias Wegner, Fatima A. Hussain, Kathryn M. Kauffman, Martin F. Polz, David Bikard, Sylvain Gandon, Eduardo P. C. Rocha, Frédérique Le Roux, Unité de Physiologie Fonctionnelle des Organismes Marins, Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), Laboratoire de Biologie Intégrative des Modèles Marins (LBI2M), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Centre interdisciplinaire de recherche en biologie (CIRB), Labex MemoLife, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Collège de France (CdF (institution))-Ecole Superieure de Physique et de Chimie Industrielles de la Ville de Paris (ESPCI Paris), Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Infection, Anti-microbiens, Modélisation, Evolution (IAME (UMR_S_1137 / U1137)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Université Sorbonne Paris Nord, Universidade de Santiago de Compostela [Spain] (USC ), Fédération de recherche de Roscoff (FR2424), Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Department of Civil and Environmental Engineering [Cambridge] (CEE), Massachusetts Institute of Technology (MIT), Eligo Bioscience, Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Universität Wien, Biologie de Synthèse - Synthetic biology, Université Paris Cité (UPCité)-Microbiologie Intégrative et Moléculaire (UMR6047), Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, 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)-Université de Montpellier (UM), Génomique évolutive des Microbes / Microbial Evolutionary Genomics, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), We thank M. A. Petit, M. Blokesch, M. Sullivan and A. Bernheim for valuable suggestions, M. Touchon and A. Bernheim for assistance with vibrio genome annotation, Z. Chaplain for the illustrations and help during the time series sampling, the staff of the station Ifremer Argenton and Bouin, the ABIMS (Roscoff) and LABGeM (Evry) platforms for technical assistance, Z. Allouche, Biomics Platform, C2RT, Institut Pasteur, Paris, France, supported by France Génomique (ANR-10-INBS-09-09) and IBISA, and G. Riddihough from Life Science Editors for help with the manuscript. This work was supported by funding from the Agence Nationale de la Recherche (ANR-16-CE32-0008-01, REVENGE, ANR-20-CE35-0014, RESISTE), the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 884988, Advanced ERC Dynamic) to F.L.R. and Ifremer to D.P. The work was further supported by a grant from the Simons Foundation (LIFE ID 572792) to M.F.P. Part of the Vibrio crassostreae genome sequencing was conducted by the US Department of Energy Joint Genome Institute, a DOE Office of Science User Facility, and is supported by the Office of Science of the US Department of Energy under Contract No. DE-AC02-05CH11231. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript., ANR-10-INBS-0009,France-Génomique,Organisation et montée en puissance d'une Infrastructure Nationale de Génomique(2010), ANR-16-CE32-0008,REVENGE,L'huître comme niche de l'évolution et l'émergence de vibrios pathogènes(2016), ANR-20-CE35-0014,RESISTE,Comprendre l'évolution de la résistance aux antimicrobiens chez les vibrios environnementaux(2020), European Project: 884988,ERC-2019-ADG,DYNAMIC(2021), Le Roux, Frédérique, Organisation et montée en puissance d'une Infrastructure Nationale de Génomique - - France-Génomique2010 - ANR-10-INBS-0009 - INBS - VALID, L'huître comme niche de l'évolution et l'émergence de vibrios pathogènes - - REVENGE2016 - ANR-16-CE32-0008 - AAPG2016 - VALID, Comprendre l'évolution de la résistance aux antimicrobiens chez les vibrios environnementaux - - RESISTE2020 - ANR-20-CE35-0014 - AAPG2020 - VALID, A mechanistic approach to understand microbiome-viriome dynamics in nature - DYNAMIC - - ERC-2019-ADG2021-01-01 - 2025-12-31 - 884988 - VALID, Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Physiologie Fonctionnelle des Organismes Marins (PFOM), Laboratoire de Biologie Intégrative (LBI), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Alfred Wegener Institute for Polar and Marine Research (AWI), University of Vienna [Vienna], Institut Pasteur [Paris] (IP), and Génétique des génomes - Genetics of Genomes (UMR 3525)
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Water microbiology ,Microbiology (medical) ,MESH: Host Specificity ,[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE] ,Immunology ,Cell Biology ,[SDV.EE.IEO] Life Sciences [q-bio]/Ecology, environment/Symbiosis ,Applied Microbiology and Biotechnology ,Microbiology ,Host Specificity ,[SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology ,[SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/Virology ,Genetics ,[SDV.BID.EVO] Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE] ,Bacteriophages ,MESH: Bacteriophages ,[SDV.MP] Life Sciences [q-bio]/Microbiology and Parasitology ,Viral genetics ,Coevolution ,[SDV.EE.IEO]Life Sciences [q-bio]/Ecology, environment/Symbiosis - Abstract
International audience; Coevolution between bacteriophages (phages) and their bacterial hosts occurs through changes in resistance and counter-resistance mechanisms. To assess phage-host evolution in wild populations, we isolated 195 Vibrio crassostreae strains and 243 vibriophages during a 5-month time series from an oyster farm and combined these isolates with existing V. crassostreae and phage isolates. Cross-infection studies of 81,926 host-phage pairs delineated a modular network where phages are best at infecting cooccurring hosts, indicating local adaptation. Successful propagation of phage is restricted by the ability to adsorb to closely related bacteria and further constrained by strain-specific defence systems. These defences are highly diverse and predominantly located on mobile genetic elements, and multiple defences are active within a single genome. We further show that epigenetic and genomic modifications enable phage to adapt to bacterial defences and alter host range. Our findings reveal that the evolution of Please note that this is an author-produced PDF of an article accepted for publication following peer review. The definitive publisher-authenticated version is available on the publisher Web site. bacterial defences and phage counter-defences is underpinned by frequent genetic exchanges with, and between, mobile genetic elements.
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- 2022
40. Visualizing the spatial organization of monocytes, interstitial macrophages, and tissue-specific macrophages in situ.
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Petit M, Weber-Delacroix E, Lanthiez F, Barthélémy S, Guillou N, Firpion M, Bonduelle O, Hume DA, Combadière C, and Boissonnas A
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- Animals, Mice, CX3C Chemokine Receptor 1 metabolism, CX3C Chemokine Receptor 1 genetics, Mice, Transgenic, Receptors, CCR2 metabolism, Receptors, CCR2 genetics, Mice, Inbred C57BL, Organ Specificity, Receptors, Granulocyte-Macrophage Colony-Stimulating Factor metabolism, Receptors, Granulocyte-Macrophage Colony-Stimulating Factor genetics, Monocytes metabolism, Macrophages metabolism
- Abstract
Tissue-resident mononuclear phagocytes (MPs) are an abundant cell population whose localization in situ reflects their identity. To enable assessment of their heterogeneity, we developed the red/green/blue (RGB)-Mac mouse based upon combinations of Cx3cr1 and Csf1r reporter transgenes, providing a complete visualization of their spatial organization in situ. 3D-multi-photon imaging for spatial mapping and spectral cytometry employing the three markers in combination distinguished tissue-associated monocytes, tissue-specific macrophages, and three subsets of connective-tissue-associated MPs, including CCR2
+ monocyte-derived cell, CX3CR1+ , and FOLR2+ interstitial subsets, associated with distinct sub-anatomic territories. These populations were selectively reduced by blockade of CSF1, CSF2, CCR2, and CX3CR1 and efficiently reconstitute their spatial distribution after transient myelo-ablation, suggesting an autonomous regulatory environment. Our findings emphasize the organization of the MP compartment at the sub-anatomic level under steady-state conditions, thereby providing a holistic understanding of their relative heterogeneity across different tissues., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)- Published
- 2024
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41. Extracorporeal membrane oxygenation for tuberculosis-related acute respiratory distress syndrome: An international multicentre retrospective cohort study.
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Ait Hssain A, Petit M, Wiest C, Simon L, Al-Fares AA, Hany A, Garcia-Gomez DI, Besa S, Nseir S, Guervilly C, Alqassem W, Lesouhaitier M, Chelaru A, Sin SW, Roncon-Albuquerque R Jr, Giani M, Lepper PM, Lavillegrand JR, Park S, Schellongowski P, Fawzy Hassan I, Combes A, Sonneville R, and Schmidt M
- Subjects
- Humans, Retrospective Studies, Male, Female, Middle Aged, Adult, Cohort Studies, Tuberculosis complications, Extracorporeal Membrane Oxygenation methods, Extracorporeal Membrane Oxygenation statistics & numerical data, Extracorporeal Membrane Oxygenation adverse effects, Respiratory Distress Syndrome therapy, Respiratory Distress Syndrome mortality
- Abstract
Objective: To report the outcomes of patients with severe tuberculosis (TB)-related acute respiratory distress syndrome (ARDS) on extracorporeal membrane oxygenation (ECMO), including predictors of 90-day mortality and associated complications., Methods: An international multicenter retrospective study was conducted in 20 ECMO centers across 13 countries between 2002 and 2022., Results: We collected demographic data, clinical details, ECMO-related complications, and 90-day survival status for 79 patients (median APACHE II score of 20 [25th to 75th percentile, 16 to 28], median age 39 [28 to 48] years, PaO
2 /FiO2 ratio of 69 [55 to 82] mmHg before ECMO) who met the inclusion criteria. Thoracic computed tomography showed that 61 patients (77%) had cavitary TB, while 18 patients (23%) had miliary TB. ECMO-related complications included major bleeding (23%), ventilator-associated pneumonia (41%), and bloodstream infections (32%). The overall 90-day survival rate was 51%, with a median ECMO duration of 20 days [10 to 34] and a median ICU stay of 42 days [24 to 65]. Among patients on VV ECMO, those with miliary TB had a higher 90-day survival rate than those with cavitary TB (90-day survival rates of 81% vs. 46%, respectively; log-rank P = 0.02). Multivariable analyses identified older age, drug-resistant TB, and pre-ECMO SOFA scores as independent predictors of 90-day mortality., Conclusion: The use of ECMO for TB-related ARDS appears to be justifiable. Patients with miliary TB have a much better prognosis compared to those with cavitary TB on VV ECMO., (© 2024. The Author(s).)- Published
- 2024
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42. Peripheral-to-central extracorporeal corporeal membrane oxygenation switch in refractory cardiogenic shock patients: outcomes and bridging strategies.
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Besnard A, Moyon Q, Lebreton G, Demondion P, Hékimian G, Chommeloux J, Petit M, Gautier M, Lefevre L, Saura O, Levy D, Schmidt M, Leprince P, Luyt CE, Combes A, and Pineton de Chambrun M
- Abstract
Background: Peripheral veno-arterial extracorporeal membrane oxygenation (pECMO) has become the first-line device in refractory cardiogenic shock (rCS). Some pECMO complications can preclude any bridging strategies and a peripheral-to-central ECMO (cECMO) switch can be considered as a bridge-to-decision. We conducted this study to appraise the in-hospital survival and the bridging strategies in patients undergoing peripheral-to-central ECMO switch., Methods: This retrospective monocenter study included patients admitted to a ECMO-dedicated intensive care unit from February 2006 to January 2023. Patients with rCS requiring pECMO switched to cECMO were included. Patients were not included when the cECMO was the first mechanical circulatory support., Results: Eighty patients, with a median [IQR25-75] age of 44 [29-53] years at admission and a female-to-male sex ratio of 0.6 were included in the study. Refractory pulmonary edema was the main switching reason. Thirty patients (38%) were successfully bridged to: heart transplantation (n = 16/80, 20%), recovery (n = 10/80, 12%) and ventricle assist device (VAD, n = 4/30, 5%) while the others died on cECMO (n = 50/80, 62%). The most frequent complications were the need for renal replacement therapy (76%), hemothorax or tamponade (48%), need for surgical revision (34%), mediastinitis (28%), and stroke (28%). The in-hospital and one-year survival rates were 31% and 27% respectively. Myocardial infarction as the cause of the rCS was the only variable independently associated with in-hospital mortality (HR 2.5 [1.3-4.9], p = 0.009)., Conclusions: The switch from a failing pECMO support to a cECMO as a bridge-to-decision is a possible strategy for a very selected population of young patients with a realistic chance of heart function recovery or heart transplantation. In this setting, cECMO allows patients triage preventing from wasting expensive and limited resources., (© 2024. The Author(s).)
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- 2024
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43. Impact of the transpulmonary pressure on right ventricle impairment incidence during acute respiratory distress syndrome: a pilot study in adults and children.
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Vedrenne-Cloquet M, Petit M, Khirani S, Charron C, Khraiche D, Panaioli E, Habib M, Renolleau S, Fauroux B, and Vieillard-Baron A
- Abstract
Background: Right ventricle impairment (RVI) is common during acute respiratory distress syndrome (ARDS) in adults and children, possibly mediated by the level of transpulmonary pressure (P
L ). We sought to investigate the impact of the level of PL on ARDS-associated right ventricle impairment (RVI)., Methods: Adults and children (> 72 h of life) were included in this two centers prospective study if they were ventilated for a new-onset ARDS or pediatric ARDS, without spontaneous breathing and contra-indication to esophageal catheter. Serial measures of static lung, chest wall, and respiratory mechanics were coupled to critical care echocardiography (CCE) for 3 days. Mixed-effect logistic regression models tested the impact of lung stress (ΔPL ) along with age, lung injury severity, and carbon dioxide partial pressure, on RVI using two definitions: acute cor pulmonale (ACP), and RV dysfunction (RVD). ACP was defined as a dilated RV with septal dyskinesia; RVD was defined as a composite criterion using tricuspid annular plane systolic excursion, S wave velocity, and fractional area change., Results: 46 patients were included (16 children, 30 adults) with 106 CCE (median of 2 CCE/patient). At day one, 19% of adults and 4/7 children > 1 year exhibited ACP, while 59% of adults and 44% of children exhibited RVD. In the entire population, ACP was present on 17/75 (23%) CCE. ACP was associated with an increased lung stress (mean ΔPL of 16.2 ± 6.6 cmH2 O in ACP vs 11.3 ± 3.6 cmH2 O, adjusted OR of 1.33, CI95% [1.11-1.59], p = 0.002) and being a child. RVD was present in 59/102 (58%) CCE and associated with lung stress. In children > 1 year, PEEP was significantly lower in case of ACP (9.3 [8.6; 10.0] cmH2 O in ACP vs 15.0 [11.9; 16.3] cmH2 O, p = 0.03)., Conclusion: Lung stress was associated with RVI in adults and children with ARDS, children being particularly susceptible to RVI. Trial registration Clinical trials identifier: NCT0418467., (© 2024. The Author(s).)- Published
- 2024
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44. Fluid responsiveness in acute respiratory distress syndrome patients: a post hoc analysis of the HEMOPRED study.
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Joseph A, Evrard B, Petit M, Goudelin M, Prat G, Slama M, Charron C, Vignon P, and Vieillard-Baron A
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Purpose: Optimal fluid management in patients with acute respiratory distress syndrome (ARDS) is challenging due to risks associated with both circulatory failure and fluid overload. The performance of dynamic indices to predict fluid responsiveness (FR) in ARDS patients is uncertain., Methods: This post hoc analysis of the HEMOPRED study compared the performance of dynamic indices in mechanically ventilated patients with shock, with and without ARDS, to predict FR, defined as an increase in aortic velocity time integral (VTI) > 10% after passive leg raising (PLR)., Results: Among 540 patients, 117 (22%) had ARDS and were ventilated with a median tidal volume of 7.6 mL/kg [6.9-8.4] and a median positive end-expiratory pressure of 7 cmH
2 O [5-9]. FR was observed in 45 ARDS patients (39% vs 44% in non-ARDS patients, p = 0.384). Reliability of dynamic indices to predict FR remained consistent in ARDS patients, though with different thresholds. Collapsibility index of the superior vena cava (ΔSVC) showed the best predictive performance in both ARDS (area under the curve [AUC] = 0.763 [0.659-0.868]) and non-ARDS (AUC = 0.750 [0.698-0.802]) patients. A right to left ventricle end-diastolic area ratio > 0.8 or paradoxical septal motion were strongly linked to the absence of FR (> 80% specificity). FR was not associated with intensive care unit (ICU) mortality (47% vs. 46%, p = 1). However, hypovolemia, defined as an aortic VTI increase > 32% during PLR (median increase in patients with a partial SVC collapse) was independently associated with ICU mortality (odds ratio [OR] = 1.355 [1.077-1.705], p = 0.011), as well as pulse pressure variation (OR = 1.014 [1.001-1.026], p = 0.034)., Conclusion: Performance of dynamic indices to predict FR appears preserved in ARDS patients, albeit with distinct thresholds. Hypovolemia, indicated by a > 32% increase in aortic VTI during PLR, rather than FR, was associated with ICU mortality in this population., (© 2024. Springer-Verlag GmbH Germany, part of Springer Nature.)- Published
- 2024
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45. Red blood cell metabolomics identify ergothioneine as a key metabolite in DMARD-naïve rheumatoid arthritis and response to methotrexate.
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Sigaux J, Junot C, Boissier MC, Petit M, Breckler M, Castelli F, Fenaille F, Roméo PH, and Semerano L
- Subjects
- Humans, Male, Female, Middle Aged, Adult, Aged, Metabolome drug effects, Arthritis, Rheumatoid drug therapy, Arthritis, Rheumatoid blood, Arthritis, Rheumatoid metabolism, Methotrexate therapeutic use, Ergothioneine blood, Erythrocytes metabolism, Metabolomics methods, Antirheumatic Agents therapeutic use
- Abstract
Using a new red blood cell (RBC) metabolite extraction protocol, we performed a metabolomic analysis on RBCs in rheumatoid arthritis (RA) patients treated or not with methotrexate (MTX), with the two following objectives: to compare the RBC metabolic profiles of MTX-naïve RA patients and healthy controls (HC), and to investigate whether RBC profiles before and after MTX treatment in RA differed between responders and non-responders. Plasma analysis was performed in parallel. Metabolites were extracted and identified in RBCs and plasma by liquid chromatography-mass spectrometry. We compared the metabolomic fingerprints of 31 DMARD-naïve RA patients and 39 HCs. We also compared the RBC and plasma metabolomes of 25 RA patients who responded or not to MTX therapy before (M0) and after a 3-month treatment period (M3). Significance was determined by Storey's false discovery rate (FDR) q-values to correct for multiple testing. RA patients and HCs differed in the metabolomic signature of RBCs. The signature mainly contained amino acids (AA). Eleven metabolites, including 4 metabolites belonging to the carbohydrate subclass and 2 amino acids (creatine and valine) showed accumulation in RBCs from RA patients. Conversely, citrulline (fold change = 0.83; q = 0.025), histidine (fold change = 0.86; q = 0.014) and ergothioneine (EGT) (fold change = 0.66; q = 0.024), were lower in RBC of RA patients. Five plasma metabolites, including succinic acid and hydroxyproline, were higher in RA patients, and 7 metabolites, including DHEA sulfate, alanine, threonine and ornithine, were lower. Among RA patients undergoing MTX treatment pre-treatment (M0), EGT values were significantly lower in non-responders. In conclusion, low RBC levels of EGT, a food-derived AA barely detectable in plasma, characterize DMARD naïve RA patients and lack of response to MTX treatment., (© 2024. The Author(s).)
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- 2024
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46. Mechanical ventilation settings during weaning from venovenous extracorporeal membrane oxygenation.
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Passarelli MT, Petit M, Garberi R, Lebreton G, Luyt CE, Pineton De Chambrun M, Chommeloux J, Hékimian G, Rezoagli E, Foti G, Combes A, Giani M, and Schmidt M
- Abstract
Background: The optimal timing of weaning from venovenous extracorporeal membrane oxygenation (VV ECMO) and its modalities have been rarely studied., Methods: Retrospective, multicenter cohort study over 7 years in two tertiary ICUs, high-volume ECMO centers in France and Italy. Patients with ARDS on ECMO and successfully weaned from VV ECMO were classified based on their mechanical ventilation modality during the sweep gas-off trial (SGOT) with either controlled mechanical ventilation or spontaneous breathing (i.e. pressure support ventilation). The primary endpoint was the time to successful weaning from mechanical ventilation within 90 days post-ECMO weaning., Results: 292 adult patients with severe ARDS were weaned from controlled ventilation, and 101 were on spontaneous breathing during SGOT. The 90-day probability of successful weaning from mechanical ventilation was not significantly different between the two groups (sHR [95% CI], 1.23 [0.84-1.82]). ECMO-related complications were not statistically different between patients receiving these two mechanical ventilation strategies. After adjusting for covariates, older age, higher pre-ECMO sequential organ failure assessment score, pneumothorax, ventilator-associated pneumonia, and renal replacement therapy, but not mechanical ventilation modalities during SGOT, were independently associated with a lower probability of successful weaning from mechanical ventilation after ECMO weaning., Conclusions: Time to successful weaning from mechanical ventilation within 90 days post-ECMO was not associated with the mechanical ventilation strategy used during SGOT. Further research is needed to assess the optimal ventilation strategy during weaning off VV ECMO and its impact on short- and long-term outcomes., (© 2024. The Author(s).)
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- 2024
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47. Prospective same day discharge instrumented lumbar spine surgery - a forty patient consecutive series.
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Boissiere L, Haleem S, Liquois F, Aunoble S, Cursolle JC, Régnault de la Mothe G, Petit M, Pellet N, Bourghli A, Larrieu D, and Obeid I
- Subjects
- Humans, Male, Female, Adult, Middle Aged, Prospective Studies, Aged, Young Adult, Postoperative Complications epidemiology, Adolescent, Lumbar Vertebrae surgery, Spinal Fusion methods, Ambulatory Surgical Procedures methods, Patient Discharge statistics & numerical data
- Abstract
Purpose: Outpatient lumbar decompression surgeries have been successfully performed in France for over twenty years, earning acceptance. However, outpatient instrumented lumbar spine procedures and arthroplasties are less documented. This study aimed to evaluate the feasibility, efficiency, and safety of outpatient lumbar instrumented surgery., Methods: A prospective single-center study involving three experienced surgeons was conducted from September 2020 to September 2021, with a minimum six-month postoperative follow-up. Inclusion criteria comprised patients aged 18 to 75 eligible for same-day discharge, undergoing single-level lumbar spinal fusion or arthroplasty via anterior or posterior Wiltse approach. The primary endpoint was assessing the percentage of successful outpatient discharges (within twelve hours), with secondary endpoints including perioperative/postoperative complications and discharge pain prescriptions in terms of frequency and severity., Results: Forty patients (mean age: 44 years; 16/24 male/female ratio) underwent surgery, including 18 lumbar arthroplasties, twelve ALIF, and ten TLIF procedures. The majority of surgeries were performed at L4-L5 (18 procedures) and L5-S1 levels (22 procedures). 95% (38/40) of patients were successfully discharged within twelve hours, with only two patients discharged the following day. No postoperative hematomas, serious adverse events, or revision surgeries were noted., Conclusion: 95% of patients were discharged successfully within twelve hours following outpatient lumbar fusion surgery, with a 100% patient satisfaction rate. Specific technical solutions were not necessary, and oral pain relief sufficed. Patient selection and education, including early pain management, played crucial roles in complication avoidance. This study underscores the safety of outpatient instrumented lumbar spine procedures, leading to cost reduction and expedited recovery., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
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- 2024
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48. A Vision Transformer-Based Framework for Knowledge Transfer From Multi-Modal to Mono-Modal Lymphoma Subtyping Models.
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Guetarni B, Windal F, Benhabiles H, Petit M, Dubois R, Leteurtre E, and Collard D
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- Humans, Lymphoma, Algorithms, Deep Learning, Image Interpretation, Computer-Assisted methods, Lymphoma, Large B-Cell, Diffuse
- Abstract
Determining lymphoma subtypes is a crucial step for better patient treatment targeting to potentially increase their survival chances. In this context, the existing gold standard diagnosis method, which relies on gene expression technology, is highly expensive and time-consuming, making it less accessibility. Although alternative diagnosis methods based on IHC (immunohistochemistry) technologies exist (recommended by the WHO), they still suffer from similar limitations and are less accurate. Whole Slide Image (WSI) analysis using deep learning models has shown promising potential for cancer diagnosis, that could offer cost-effective and faster alternatives to existing methods. In this work, we propose a vision transformer-based framework for distinguishing DLBCL (Diffuse Large B-Cell Lymphoma) cancer subtypes from high-resolution WSIs. To this end, we introduce a multi-modal architecture to train a classifier model from various WSI modalities. We then leverage this model through a knowledge distillation process to efficiently guide the learning of a mono-modal classifier. Our experimental study conducted on a lymphoma dataset of 157 patients shows the promising performance of our mono-modal classification model, outperforming six recent state-of-the-art methods. In addition, the power-law curve, estimated on our experimental data, suggests that with more training data from a reasonable number of additional patients, our model could achieve competitive diagnosis accuracy with IHC technologies. Furthermore, the efficiency of our framework is confirmed through an additional experimental study on an external breast cancer dataset (BCI dataset).
- Published
- 2024
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49. Thrombolysis before venoarterial ECMO for high-risk pulmonary embolism: a retrospective cohort study.
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Levy D, Saura O, Passarelli MT, Lucenteforte M, Lebreton G, Bougle A, Monsel A, Ortuno S, Benitha Y, Hammoudi N, Assouline B, Petit M, Gautier M, Le Fevre L, Pineton de Chambrun M, Juvin C, Chommeloux J, Luyt CE, Hékimian G, Leprince P, Combes A, and Schmidt M
- Subjects
- Humans, Middle Aged, Retrospective Studies, Male, Female, Adult, Quality of Life, Treatment Outcome, Extracorporeal Membrane Oxygenation methods, Extracorporeal Membrane Oxygenation adverse effects, Pulmonary Embolism therapy, Pulmonary Embolism mortality, Pulmonary Embolism complications, Thrombolytic Therapy methods, Thrombolytic Therapy adverse effects
- Abstract
Purpose: Despite systemic thrombolysis, a few patients with high-risk pulmonary embolism (PE) remain hemodynamically unstable. Venoarterial extracorporeal membrane oxygenation (VA-ECMO) is a considerable lifesaving therapy but systemic thrombolysis before cannulation could carry a high risk of hemorrhage and alter the prognosis., Methods: Between June 2012 and June 2023, we retrospectively analyzed from three intensive care units in Sorbonne University, ECMO-related complications and 90-day mortality for high-risk PE patients who received ECMO without previous systemic thrombolysis compared to those cannulated after systemic thrombolysis failure. Hospital discharge survivors were assessed for long-term health-related quality of life and echocardiographic evaluations., Results: 72 high-risk PE patients [median age 48 (37-61) years, Simplified Acute Physiology Score II (SAPS II) 74 (60-85)] were placed on VA-ECMO for 5 (5-7) days. 31 (43%) patients underwent pre-ECMO thrombolysis (thrombolysis ECMO group, T +) compared to 41 patients (57%, no thrombolysis ECMO group, T-). There was more pre-ECMO cardiac arrest in the thrombolysis ECMO group (94% vs. 67%, p = 0.02). Ninety-day survival was not different between groups (39% vs 46%, log-rank test, p = 0.31). There was no difference in severe hemorrhages (61% vs 59%, p = 1). Twenty-five over 28 patients attended follow-up at a median time of 69 (52-95) months. Long-term quality of life was acceptable and none of them experienced chronic thromboembolic pulmonary hypertension., Conclusions: Ninety-day survival and bleeding events rates did not differ in patients treated with VA-ECMO after systemic thrombolysis compared to those who were not. Recent systemic thrombolysis, as a single parameter, should not be considered as a contraindication for VA-ECMO in high-risk PE., (© 2024. Springer-Verlag GmbH Germany, part of Springer Nature.)
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- 2024
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50. Dynamics of the viral community on the surface of a French smear-ripened cheese during maturation and persistence across production years.
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Paillet T, Lamy-Besnier Q, Figueroa C, Petit M-A, and Dugat-Bony E
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- Bacteria virology, Bacteria genetics, Bacteria isolation & purification, Microbiota, Food Microbiology, France, Metagenomics, Virome, Cheese microbiology, Cheese virology, Bacteriophages genetics, Bacteriophages isolation & purification
- Abstract
The surface of smear-ripened cheeses constitutes a dynamic microbial ecosystem resulting from the successive development of different microbial groups such as lactic acid bacteria, fungi, and ripening bacteria. Recent studies indicate that a viral community, mainly composed of bacteriophages, also represents a common and substantial part of the cheese microbiome. However, the composition of this community, its temporal variations, and associations between bacteriophages and their hosts remain poorly characterized. Here, we studied a French smear-ripened cheese by both viral metagenomics and 16S metabarcoding approaches to assess both the succession of phages and bacterial communities on the cheese surface during cheese ripening and their temporal variations in ready-to-eat cheeses over the years of production. We observed a clear transition of the phage community structure during ripening with a decreased relative abundance of viral species (vOTUs) associated with Lactococcus phages, which were replaced by vOTUs associated with phages infecting ripening bacteria such as Brevibacterium, Glutamicibacter, Pseudoalteromonas, and Vibrio . The dynamics of the phage community was strongly associated with bacterial successions observed on the cheese surface. Finally, while some variations in the distribution of phages were observed in ready-to-eat cheeses produced at different dates spanning more than 4 years of production, the most abundant phages were detected throughout. This result revealed the long-term persistence of the dominant phages in the cheese production environment. Together, these findings offer novel perspectives on the ecology of bacteriophages in smear-ripened cheese and emphasize the significance of incorporating bacteriophages in the microbial ecology studies of fermented foods.IMPORTANCEThe succession of diverse microbial populations is critical for ensuring the production of high-quality cheese. We observed a temporal succession of phages on the surface of a smear-ripened cheese, with new phage communities showing up when ripening bacteria start covering this surface. Interestingly, the final phage community of this cheese is also consistent over large periods of time, as the same bacteriophages were found in cheese products from the same manufacturer made over 4 years. This research highlights the importance of considering these bacteriophages when studying the microbial life of fermented foods like cheese., Competing Interests: The authors declare no conflict of interest.
- Published
- 2024
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