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15 results on '"Dujardin, Romein W. G."'

1. Hemostasis

Author

Dujardin, Romein W. G., Kleinveld, Derek J. B., Juffermans, Nicole P., Cecconi, Maurizio, Series Editor, De Backer, Daniel, Series Editor, Molnar, Zsolt, editor, Ostermann, Marlies, editor, and Shankar-Hari, Manu, editor

Published
2023
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4. Rare predicted loss-of-function variants of type I IFN immunity genes are associated with life-threatening COVID-19

Author

Zatz, Mayana, Beudel, Martijn, Bos, Lieuwe, Botta, Michela, de Brabander, Justin, de Bree, Godelieve, de Bruin, Sanne, Bulle, Esther, Dijkstra, Mirjam, Dongelmans, Dave A., Dujardin, Romein W. G., Goorhuis, Bram, Grobusch, Martin P., Hafkamp, Florianne, Hagens, Laura, Hamann, Jorg, Harris, Vanessa, Hemke, Robert, Hollmann, Markus, Horn, Janneke, Hovius, Joppe W., de Jong, Menno D., Lim, Endry H. T., van Mourik, Niels, Paulus, Frederique, Pina-Fuentes, Dan A. I., Prins, Jan M., Raasveld, Jorinde, Reijnders, Tom, de Rotte, Maurits C. F. J., Schultz, Marcus J., Schrauwen, Femke A. P., Schuurmans, Jaap, Sigaloff, Kim, Slim, Marleen A., Smit, Marry, Stijnis, Cornelis S., Stilma, Willemke, van der Valk, Marc, Veelo, Denise, Volleman, Carolien, van Vugt, Michèle, Zwinderman, A. H., Wiersinga, W. Joost, Vlaar, Alexander P. J., Neurology, AII - Infectious diseases, ANS - Neuroinfection & -inflammation, Center of Experimental and Molecular Medicine, Graduate School, ANS - Neurodegeneration, Pulmonology, ACS - Pulmonary hypertension & thrombosis, AII - Inflammatory diseases, Intensive Care Medicine, ACS - Heart failure & arrhythmias, Infectious diseases, APH - Aging & Later Life, APH - Global Health, ACS - Amsterdam Cardiovascular Sciences, Laboratory Specialized Diagnostics & Research, APH - Quality of Care, Anesthesiology, AII - Amsterdam institute for Infection and Immunity, Experimental Immunology, Global Health, APH - Health Behaviors & Chronic Diseases, Radiology and Nuclear Medicine, AMS - Musculoskeletal Health, AMS - Sports, ACS - Microcirculation, Medical Microbiology and Infection Prevention, ANS - Amsterdam Neuroscience, Nursing, Central Diagnostic Laboratory, ACS - Diabetes & metabolism, APH - Digital Health, APH - Personalized Medicine, Epidemiology and Data Science, APH - Methodology, and AII - Cancer immunology

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.

Published
2023

6. Micronutrient Status of Critically Ill Patients with COVID-19 Pneumonia.

Author

Rozemeijer, Sander, Hamer, Henrike M., Heijboer, Annemieke C., de Jonge, Robert, Jimenez, Connie R., Juffermans, Nicole P., Dujardin, Romein W. G., Girbes, Armand R. J., and de Man, Angélique M. E.

Abstract

Micronutrient deficiencies can develop in critically ill patients, arising from factors such as decreased intake, increased losses, drug interactions, and hypermetabolism. These deficiencies may compromise important immune functions, with potential implications for patient outcomes. Alternatively, micronutrient blood levels may become low due to inflammation-driven redistribution rather than consumption. This explorative pilot study investigates blood micronutrient concentrations during the first three weeks of ICU stay in critically ill COVID-19 patients and evaluates the impact of additional micronutrient administration. Moreover, associations between inflammation, disease severity, and micronutrient status were explored. We measured weekly concentrations of vitamins A, B6, D, and E; iron; zinc; copper; selenium; and CRP as a marker of inflammation state and the SOFA score indicating disease severity in 20 critically ill COVID-19 patients during three weeks of ICU stay. Half of the patients received additional (intravenous) micronutrient administration. Data were analyzed with linear mixed models and Pearson's correlation coefficient. High deficiency rates of vitamins A, B6, and D; zinc; and selenium (50–100%) were found at ICU admission, along with low iron status. After three weeks, vitamins B6 and D deficiencies persisted, and iron status remained low. Plasma levels of vitamins A and E, zinc, and selenium improved. No significant differences in micronutrient levels were found between patient groups. Negative correlations were identified between the CRP level and levels of vitamins A and E, iron, transferrin, zinc, and selenium. SOFA scores negatively correlated with vitamin D and selenium levels. Our findings reveal high micronutrient deficiency rates at ICU admission. Additional micronutrient administration did not enhance levels or expedite their increase. Spontaneous increases in vitamins A and E, zinc, and selenium levels were associated with inflammation resolution, suggesting that observed low levels may be attributed, at least in part, to redistribution rather than true deficiencies. [ABSTRACT FROM AUTHOR]

Published
2024
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7. Shock-Driven Endotheliopathy in Trauma Patients Is Associated with Leucocyte Derived Extracellular Vesicles

Author

Dujardin, Romein W. G., primary, Kisters, Jeske E. C., additional, Wirtz, Mathijs R., additional, Hajji, Najat, additional, Tuip-de Boer, Anita M., additional, Stensballe, Jakob, additional, Johansson, Pär I., additional, Brohi, Karim, additional, Davenport, Ross A., additional, Gaarder, Christine, additional, Stanworth, Simon, additional, Maegele, Marc, additional, Nieuwland, Rienk, additional, van der Pol, Edwin, additional, and Juffermans, Nicole P., additional

Published
2022
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8. Rare predicted loss-of-function variants of type I IFN immunity genes are associated with life-threatening COVID-19

Author

Matuozzo, Daniela, Talouarn, Estelle, Marchal, Astrid, Zhang, Peng, Manry, Jeremy, Seeleuthner, Yoann, Zhang, Yu, Bolze, Alexandre, Chaldebas, Matthieu, Milisavljevic, Baptiste, Gervais, Adrian, Bastard, Paul, Asano, Takaki, Bizien, Lucy, Barzaghi, Federica, Abolhassani, Hassan, Abou Tayoun, Ahmad, Aiuti, Alessandro, Alavi Darazam, Ilad, Allende, Luis M., Alonso-Arias, Rebeca, Arias, Andrés Augusto, Aytekin, Gokhan, Bergman, Peter, Bondesan, Simone, Bryceson, Yenan T., Bustos, Ingrid G., Cabrera-Marante, Oscar, Carcel, Sheila, Carrera, Paola, Casari, Giorgio, Chaïbi, Khalil, Colobran, Roger, Condino-Neto, Antonio, Covill, Laura E., Delmonte, Ottavia M., El Zein, Loubna, Flores, Carlos, Gregersen, Peter K., Gut, Marta, Haerynck, Filomeen, Halwani, Rabih, Hancerli, Selda, Hammarström, Lennart, Hatipoğlu, Nevin, Karbuz, Adem, Keles, Sevgi, Kyheng, Christèle, Leon-Lopez, Rafael, Franco, Jose Luis, Mansouri, Davood, Martinez-Picado, Javier, Metin Akcan, Ozge, Migeotte, Isabelle, Morange, Pierre-Emmanuel, Morelle, Guillaume, Martin-Nalda, Andrea, Novelli, Giuseppe, Novelli, Antonio, Ozcelik, Tayfun, Palabiyik, Figen, Pan-Hammarström, Qiang, de Diego, Rebeca Pérez, Planas-Serra, Laura, Pleguezuelo, Daniel E., Prando, Carolina, Pujol, Aurora, Reyes, Luis Felipe, Rivière, Jacques G., Rodriguez-Gallego, Carlos, Rojas, Julian, Rovere-Querini, Patrizia, Schlüter, Agatha, Shahrooei, Mohammad, Sobh, Ali, Soler-Palacin, Pere, Tandjaoui-Lambiotte, Yacine, Tipu, Imran, Tresoldi, Cristina, Troya, Jesus, van de Beek, Diederik, Zatz, Mayana, Zawadzki, Pawel, Al-Muhsen, Saleh Zaid, Alosaimi, Mohammed Faraj, Alsohime, Fahad M., Baris-Feldman, Hagit, Butte, Manish J., Constantinescu, Stefan N., Cooper, Megan A., Dalgard, Clifton L., Fellay, Jacques, Heath, James R., Lau, Yu-Lung, Lifton, Richard P., Maniatis, Tom, Mogensen, Trine H., von Bernuth, Horst, Lermine, Alban, Vidaud, Michel, Boland, Anne, Deleuze, Jean-François, Nussbaum, Robert, Kahn-Kirby, Amanda, Mentre, France, Tubiana, Sarah, Gorochov, Guy, Tubach, Florence, Hausfater, Pierre, Abel, Laurent, Al-Muhsen, Saleh, Al-Mulla, Fahd, Anderson, Mark S., Andreakos, Evangelos, Arias, Andrés A., Feldman, Hagit Baris, Belot, Alexandre, Biggs, Catherine M., Bogunovic, Dusan, Bondarenko, Anastasiia, Bousfiha, Ahmed A., Brodin, Petter, Bryceson, Yenan, Bustamante, Carlos D., Chakravorty, Samya, Christodoulou, John, Desai, Murkesh, Drolet, Beth A., Baghdadi, Jamila El, Espinosa-Padilla, Sara, Franco, José Luis, Froidure, Antoine, Hagin, David, Henrickson, Sarah E., Hsieh, Elena W. Y., Husebye, Eystein, Imai, Kohsuke, Itan, Yuval, Jarvis, Erich D., Karamitros, Timokratis, Kisand, Kai, Ku, Cheng-Lung, Ling, Yun, Lucas, Carrie L., Maródi, László, Meyts, Isabelle, Milner, Joshua D., Mironska, Kristina, Morio, Tomohiro, Ng, Lisa F. P., Notarangelo, Luigi D., O’Farrelly, Cliona, Okada, Satoshi, Planas, Anna M., Quintana-Murci, Lluis, Renia, Laurent, Resnick, Igor, Rodríguez-Gallego, Carlos, Sancho-Shimizu, Vanessa, Sediva, Anna, Seppänen, Mikko R. J., Shcherbina, Anna, Slaby, Ondrej, Snow, Andrew L., Soler-Palacín, Pere, Spaan, András N., Tancevski, Ivan, Tangye, Stuart G., Ramaswamy, Sathishkumar, Turvey, Stuart E., Uddin, Furkan, Uddin, Mohammed J., Vinh, Donald C., Su, Helen C., Casanova, Jean-Laurent, Bureau, Serge, Vacher, Yannick, Gysembergh-Houal, Anne, Demerville, Lauren, Chachoua, Abla, Abad, Sebastien, Abassi, Radhiya, Abdellaoui, Abdelrafie, Abdelmalek, Abdelkrim, Abdoul, Hendy, Abergel, Helene, Abeud, Fariza, Abgrall, Sophie, Abisror, Noemie, Adechian, Marylise, Aderdour, Nordine, Admane, Hakeem Farid, Adnet, Frederic, Afritt, Sara, Agostini, Helene, Aguilar, Claire, Agut, Sophie, Aiello, Tommaso Francesco, Kaci, Marc Ait, Oufella, Hafid Ait, Ajeenthiravasan, Gokula, Alauzy, Virginie, Alby-Laurent, Fanny, Allard, Lucie, Alyanakian, Marie-Alexandra, Borrero, Blanca Amador, Amam, Sabrina, Amrouche, Lucile, Andronikof, Marc, Anglicheau, Dany, Anguel, Nadia, Annane, Djillali, Aounzou, Mohammed, Aparicio, Caroline, Aratus, Gladys, Arlet, Jean-Benoit, Arzoine, Jeremy, Aslangul, Elisabeth, Assefi, Mona, Aubry, Adeline, Audiffred, Laetitia, Audureau, Etienne, Auger, Christelle Nathalie, Auregan, Jean-Charles, Awotar, Celine, Milla, Sonia Ayllon, Azan, Delphine, Azemar, Laurene, Azzouguen, Billal, Elrufaai, Marwa Bachir, Badsi, Aïda, Bakouboula, Prissile, Balcerowiak, Coline, Balde, Fanta, Baldivia, Elodie, Bangamingo, Eliane-Flore, Baptiste, Amandine, Baran-Marszak, Fanny, Barau, Caroline, Barget, Nathalie, Baronnet, Flore, Barthelemy, Romain, Baudel, Jean-Luc, Baudry, Camille, Baudry, Elodie, Beaugerie, Laurent, Belamri, Adel, Belaube, Nicolas, Belilita, Rhida, Bellassen, Pierre, Belmokhtar, Rawan, Beltran, Isabel, Benainous, Ruben, Benallaoua, Mourad, Benamouzig, Robert, Benbara, Amélie, Benhida, Jaouad, Benkhelouf, Anis, Benlagha, Jihene, Benmostafa, Chahinez, Benothmane, Skander, Bentifraouine, Miassa, Berard, Laurence, Bernier, Quentin, Berti, Enora, Bertier, Astrid, Berton, Laure, Bessis, Simon, Beurton, Alexandra, Bianco, Celine, Bianquis, Clara, Bidar, Frank, Blanche, Philippe, Blayau, Clarisse, Bleibtreu, Alexandre, Blin, Emmanuelle, Bloch-Queyrat, Coralie, Boissier, Marie-Christophe, Bollens, Diane, Bolzoni, Marion, Bompard, Rudy pierre, Bonnet, Nicolas, Bonnouvrier, Justine, Botha, Shirmonecrystal, Boucenna, Wissam, Bouchama, Fatiha, Bouchaud, Olivier, Bouchghoul, Hanane, Boudjebla, Taoueslylia, Boudjema, Noel, Bouffard, Catherine, Bougle, Adrien, Bouguerra, Meriem, Bouras, Leila, Bourcier, Agnes, Durand, Anne Bourgarit, Bourrier, Anne, Bouscarat, Fabrice, Bouvry, Diane, Bouziri, Nesrine, Bouzrara, Ons, Bribier, Sarah, Brugier, Delphine, Brunel, Melanie, Bui, Eida, Buisson, Anne, Bukreyeva, Iryna, Bureau, Côme, Cadranel, Jacques, Cailhol, Johann, Calin, Ruxandra, Vega, Clara Campos, Canavaggio, Pauline, Cancella, Marta, Cantin, Delphine, Cao, Albert, Carbillon, Lionel, Carlier, Nicolas, Cassard, Clementine, Castor, Guylaine, Cauchy, Marion, Cha, Olivier, Chaigne, Benjamin, Challal, Salima, Champion, Karine, Chariot, Patrick, Chas, Julie, Chauveau, Simon, Chauvin, Anthony, Chauvin, Clement, Chavarot, Nathalie, Chebbout, Kamélia, Cherai, Mustapha, Cherubini, Ilaria, Chevalier, Amelie, Chiarabini, Thibault, Chinet, Thierry, Chocron, Richard, Choinier, Pascaline, Chommeloux, Juliette, Choquet, Christophe, Choupeaux, Laure, Chousterman, Benjamin, Ciocan, Dragosmarius, Clarke, Ada, Clavere, Gaëlle, Clavier, Florian, Clement, Karine, Clerc, Sebastien, Cohen, Yves, Cohen, Fleur, Cohen, Adrien, Coilly, Audrey, Colboc, Hester, Colin, Pauline, Collet, Magalie, Comarmond, Chloé, Combacon, Emeline, Combes, Alain, Comparon, Celine, Constantin, Jean-Michel, Cordel, Hugues, Cordier, Anne-Gael, Costantini, Adrien, Chalumeau, Nathalie Costedoat, Couffignal, Camille, Coupeau, Doriane, Creange, Alain, Lamarre, Yannie Cuvillier, Da Silveira, Charlène, Kayani, Sandrine Dautheville Guibal El, De Castro, Nathalie, De Rycke, Yann, Del Pozo, Lucie, Delannoy, Quentin, Delay, Mathieu, Deleris, Robin, Delforge, Juliette, Delphine, Laëtitia, Demare, Noemie, Demeret, Sophie, Demoule, Alexandre, Deniau, Aurore, Depret, François, Derolez, Sophie, Derradji, Ouda, Derridj, Nawal, Descamps, Vincent, Deschamps, Lydia, Desconclois, Celine, Desnos, Cyrielle, Desongins, Karine, Dhote, Robin, Diallo, Benjamin, Didier, Morgane, Diemer, Myriam, Diez, Stephane, Djadi-Prat, Juliette, Monnory, Fatima-Zohra Djamouri, Djebara, Siham, Djebra, Naoual, Djietcheu, Minette, Djillali, Hadjer, Djouadi, Nouara, Donneger, Severine, Dos Santos, Catarina, Dournon, Nathalie, Dres, Martin, Droctove, Laura, Drogrey, Marie, Dropy, Margot, Drouet, Elodie, Dubosq, Valérie, Dubreucq, Evelyne, Dubus, Estelle, Duchemann, Boris, Duchenoy, Thibault, Dudoignon, Emmanuel, Dufau, Romain, Dumas, Florence, Duran, Clara, Duron, Emmanuelle, Durrbach, Antoine, Duvivier, Claudine, Ebstein, Nathan, Khalifa, Jihane El, Elabbadi, Alexandre, Elie, Caroline, Ernotte, Gabriel, Esling, Anne, Etienne, Martin, Eyer, Xavier, Fartoukh, Muriel sarah, Fayali, Takoua, Fermaut, Marion, Fiorentino, Arianna, Fliss, Souha, Fournier, Marie-Céline, Fournier, Benjamin, Francois, Hélène, Freynet, Olivia, Frigout, Yvann, Fromont, Isaure, Fuentes, Axelle, Furet, Thomas, Galand, Joris, Garnier, Marc, Gaubert, Agnes, Gaudry, Stéphane, Gaugain, Samuel, Gauthier, Damien, Gautier, Maxime, Georgin-Lavialle, Sophie, Geromin, Daniela, Ghalayini, Mohamed, Ghaleh, Bijan, Ghezal, Myriam, Gibelin, Aude, Gimeno, Linda, Girard, Benoit, Leprieur, Bénédicte Giroux, Gomes, Doryan, Gomes-Pires, Elisabete, Gouge, Anne, Gouja, Amel, Goulet, Helene, Goupil, Sylvain, De Bouille, Jeanne Goupil, Gras, Julien, Greffe, Segolene, Grimaldi, Lamiae, Guedeney, Paul, Guidet, Bertrand, Guillo, Matthias, Gulczynski, Mariechristelle, Hadjam, Tassadit, Haguenauer, Didier, Hammal, Soumeya, Hammoudi, Nadjib, Hanon, Olivier, Harrois, Anarole, Hautem, Coraline, Hekimian, Guillaume, Heming, Nicholas, Hermine, Olivier, Ho, Sylvie, Houllier, Marie, Huot, Benjamin, Huscenot, Tessa, Saied, Wafa Ibn, Ikherbane, Ghilas, Imarazene, Meriem, Ingiliz, Patrick, Iratni, Lina, Jaureguiberry, Stephane, Jean-Marc, Jean-Francois, Jeyarajasingham, Deleena, Jouany, Pauline, Jouis, Veronique, Jourdaine, Clement, Kafif, Ouifiya, Kallala, Rim, Katsahian, Sandrine, Kelesyan, Lilit, Keo, Vixra, Ketz, Flora, Khamis, Warda, Khelili, Enfel, Khellaf, Mehdi, Youkou, Christy Gaëlla Kotokpo, Kounis, Ilias, Kpalma, Gaelle, Krause, Jessica, Labbe, Vincent, Lacombe, Karine, Lacorte, Jean-Marc, Lafont, Anne Gaelle, Lafont, Emmanuel, Lagha, Lynda, Lamhaut, Lionel, Lancelot, Aymeric, Landman, Cecilia, Lanternier, Fanny, Larcheveque, Cecile, Combe, Caroline Lascoux, Lassel, Ludovic, Laverdant, Benjamin, Lavergne, Christophe, Lavillegrand, Jean-Rémi, Lazureanu, Pompilia, Le Guennec, Loïc, Leberre, Lamia, Leblanc, Claire, Leboyer, Marion, Lecomte, Francois, Lecorre, Marine, Leenhardt, Romain, Lefebvre, Marylou, Lefebvre, Bénédicte, Legendre, Paul, Leger, Anne, Legros, Laurence, Legrosse, Justyna, Lehuunghia, Sébastien, Lemarec, Julien, Leporrier-Ext, Jeremie, Lesein, Manon, Lesur, Hubert, Levy, Vincent, Levy, Albert, Lopes, Edwige, Lopes, Amanda, Lopez, Vanessa, Lopinto, Julien, Lortholary, Olivier, Louadah, Badr, Loze, Bénédicte, Lucas, Marie-Laure, Lucasamichi, Axelle, Luong, Liem Binh, Magazimama-Ext, Arouna, Maingret, David, Mameri, Lakhdar, Manivet, Philippe, Mansouri, Cylia, Marcault, Estelle, Marey, Jonathan, Marin, Nathalie, Marois, Clémence, Martin, Olivier, Martineau, Lou, Martinez-Lopez, Cannelle, Martyniuck, Pierre, De Farcy, Pauline Mary, Marzouk, Nessrine, Masmoudi, Rafik, Mebazaa, Alexandre, Mechai, Frédéric, Mecozzi, Fabio, Mediouni, Chamseddine, Megarbane, Bruno, Meghadecha, Mohamed, Mejean, Élodie, Mekinian, Arsene, Abdelhadi, Nour Mekki, Mekni, Rania, Meliti, Thinhinan Sabrina, Lima, Breno Melo, Meng, Paris, Merbah, Soraya, Messani, Fadhila, Messaoudi, Yasmine, Mewasing, Baboo-Irwinsingh, Meziane, Lydia, Michelot-Burger, Carole, Mignot, Françoise, Minka, Fadi Hillary, Miyara, Makoto, Moine, Pierre, Molina, Jean-Michel, Montegnies-Boulet, Anaïs, Monti, Alexandra, Montlahuc, Claire, Montout, Anne-Lise, Moores, Alexandre, Morbieu, Caroline, Mortelette, Helene, Mouly, Stéphane, Muzaffar, Rosita, Nacerddine, Cherifa Iness, Nadal, Marine, Nadif, Hajer, Nassarmadji, Kladoum, Natella, Pierre, Ndingamondze, Sandrine, Neraal, Stefan, Nguyen, Caroline, N’Guyen, Bao, Larmurier, Isabelle Nion, Nlomenyengue, Luc, Noel, Nicolas, Nunes, Hilario, Omar, Edris, Ouazene, Zineb, Ouedraogo, Elise, Ouelaa, Wassila, Oukhedouma, Anissa, Amara, Yasmina Ould, Oya, Herve, Oziel, Johanna, Padilla, Thomas, Paillaud, Elena, Paiva, Solenne, Parfait, Beatrice, Parize, Perrine, Parizot, Christophe, Parrot, Antoine, Pavot, Arthur, Peaudecerf, Laetitia, Pene, Frédéric, Pepin, Marion, Pernet, Julie, Pernin, Claire, Petit, Mylène, Peyrony, Olivier, Pietri, Marie-Pierre, Pietri, Olivia, De Chambrun, Marc Pineton, Pinson, Michelle, Pintado, Claire, Piquard, Valentine, Pires, Christine, Planquette, Benjamin, Poirier, Sandrine, Pomel, Anne-Laure, Pons, Stéphanie, Ponscarme, Diane, Pourcelot, Annegaelle, Pourcher, Valérie, Pouvaret, Anne, Prever, Florian, Previlon, Miresta, Prevost, Margot, Provoost, Marie-Julie, Quemeneur, Cyril, Rafat, Cédric, Rami, Agathe, Ranque, Brigitte, Raphael, Maurice, Raphalen, Jean Herle, Rastoin, Anna, Raux, Mathieu, Rebai, Amani, Reby, Michael, Regent, Alexis, Regrag, Asma, Resche-Rigon, Matthieu, Ressaire, Quentin, Richard, Christian, Richard, Mariecaroline, Robert, Maxence, Rohaut, Benjamin, Rolland-Debord, Camille, Ropers, Jacques, Roque-Afonso, Anne-Marie, Rosso, Charlotte, Rousseaux, Mélanie, Rousseaux, Nabila, Roux, Swasti, Roux, Lorène, Rouzaud, Claire, Rozes, Antoine, Rubenstein, Emma, Sabate, Jean-Marc, Sabet, Sheila, Sacleux, Sophie-Caroline, Kermanach, Nathalie Saidenberg, Saliba, Faouzi, Salmon, Dominique, Savale, Laurent, Savary, Guillaume, Sberro, Rebecca, Scemla, Anne, Schlemmer, Frederic, Schwartz, Mathieu, Sedfi, Saïd, Sefir-Kribel, Samia, Seksik, Philippe, Sellier, Pierre, Selves, Agathe, Sembach, Nicole, Semerano, Luca, Senat, Marie-Victoire, Sene, Damien, Serris, Alexandra, Sese, Lucile, Sghiouar, Naima, Sigaux, Johanna, Siguier, Martin, Silvain, Johanne, Simon, Noémie, Simon, Tabassome, Skandri, Lina Innes, Slimani, Miassa, Snauwaert, Aurélie, Sokol, Harry, Soliman, Heithem, Soltani, Nisrine, Soyer, Benjamin, Steg, Gabriel, Suarez, Lydia, Szwebel, Tali-Anne, Taffame, Kossi, Tantet, Claire, Tateo, Mariagrazia, Theodose, Igor, Thiebaud, Pierre clement, Thomas, Caroline, Tiercelet, Kelly, Tisserand, Julie, Tomczak, Carole, Torelino, Krystel, Touam-Ext, Fatima, Toumi, Lilia, Toury, Gustave, Toy-Miou, Mireille, Lien, Olivia Tran Dinh Thanh, Trandinh, Alexy, Treluyer, Jean-Marc, Trinque, Baptiste, Truchot, Jennifer, Tunesi, Simone, Turpin, Matthieu, Turpin, Agathe, Urbina, Tomas, Narvaez, Rafael Usubillaga, Uzunhan, Yurdagul, Vaittinadaayar, Prabakar, Valent, Arnaud, Valentian, Maelle, Valin, Nadia, Vallet, Hélène, Vaz, Marina, Vazquezibarra, Miguel-Alejandro, Vedie, Benoit, Velly, Laetitia, Verstuyft, Celine, Viallette, Cedric, Vicaut, Eric, Vignes, Dorothee, Vimpere, Damien, Virlouvet, Myriam, Voiriot, Guillaume, Voisot, Lena, Weiss, Emmanuel, Weiss, Nicolas, Winchenne, Anaïs, Yordanov, Youri, Zafrani, Lara, Zaidan, Mohamad, Zaidi, Wissem, Zak, Cathia, Zarhrate-Ghoul, Aida, Zatout, Ouassila, Zeino, Suzanne, Zeitouni, Michel, Zemirli, Naïma, Zerah, Lorene, Zia, Ounsa, Ziol, Marianne, Zolario, Oceane, Zuber, Julien, Andrejak, Claire, Angoulvant, François, Bachelet, Delphine, Bartoli, Marie, Basmaci, Romain, Behilill, Sylvie, Beluze, Marine, Benkerrou, Dehbia, Bhavsar, Krishna, Bouadma, Lila, Bouchez, Sabelline, Bouscambert, Maude, Cervantes-Gonzalez, Minerva, Chair, Anissa, Chirouze, Catherine, Coelho, Alexandra, Couffin-Cadiergues, Sandrine, d’Ortenzio, Eric, Debray, Marie-Pierre, Deconinck, Lauren, Deplanque, Dominique, Descamps, Diane, Desvallée, Mathilde, Diallo, Alpha, Diouf, Alphonsine, Dorival, Céline, Dubos, François, Duval, Xavier, Elharrar, Brigitte, Eloy, Philippine, Enouf, Vincent, Esperou, Hélène, Esposito-Farese, Marina, Etienne, Manuel, Devouge, Eglantine Ferrand, Gault, Nathalie, Gaymard, Alexandre, Ghosn, Jade, Gigante, Tristan, Gilg, Morgane, Guedj, Jérémie, Hoctin, Alexandre, Hoffmann, Isabelle, Houas, Ikram, Hulot, Jean-Sébastien, Jaafoura, Salma, Kaguelidou, Florentia, Kali, Sabrina, Khalil, Antoine, Khan, Coralie, Laouénan, Cédric, Laribi, Samira, Le, Minh, Le Hingrat, Quentin, Le Mestre, Soizic, Le Nagard, Hervé, Lescure, François-Xavier, Letrou, Sophie, Levy, Yves, Lina, Bruno, Lingas, Guillaume, Lucet, Jean Christophe, Malvy, Denis, Mambert, Marina, Mentré, France, Meziane, Amina, Mouquet, Hugo, Mullaert, Jimmy, Neant, Nadège, Nguyen, Duc, Noret, Marion, Nseir, Saad, Papadopoulos, Aurélie, Paul, Christelle, Peiffer-Smadja, Nathan, Perpoint, Thomas, Petrov-Sanchez, Ventzislava, Peytavin, Gilles, Pham, Huong, Picone, Olivier, Puéchal, Oriane, Rabaud, Christian, Rosa-Calatrava, Manuel, Rossignol, Bénédicte, Rossignol, Patrick, Roy, Carine, Schneider, Marion, Su, Richa, Tardivon, Coralie, Tellier, Marie-Capucine, Téoulé, François, Terrier, Olivier, Timsit, Jean-François, Tual, Christelle, Van Der Werf, Sylvie, Vanel, Noémie, Veislinger, Aurélie, Visseaux, Benoit, Wiedemann, Aurélie, Yazdanpanah, Yazdan, Alavoine, Loubna, Behillil, Sylvie, Burdet, Charles, Charpentier, Charlotte, Dechanet, Aline, Ecobichon, Jean-Luc, Frezouls, Wahiba, Houhou, Nadhira, Lehacaut, Jonathan, Lucet, Jean-Christophe, Manchon, Pauline, Nouroudine, Mariama, Quintin, Caroline, Thy, Michael, van der Werf, Sylvie, Vignali, Valérie, Chahine, Abir, Waucquier, Nawal, Migaud, Maria-Claire, Djossou, Félix, Mergeay-Fabre, Mayka, Lucarelli, Aude, Demar, Magalie, Bruneau, Léa, Gérardin, Patrick, Maillot, Adrien, Payet, Christine, Laviolle, Bruno, Laine, Fabrice, Paris, Christophe, Desille-Dugast, Mireille, Fouchard, Julie, Pistone, Thierry, Perreau, Pauline, Gissot, Valérie, Goas, Carole L. E., Montagne, Samatha, Richard, Lucie, Bouiller, Kévin, Desmarets, Maxime, Meunier, Alexandre, Bourgeon, Marilou, Lefévre, Benjamin, Jeulin, Hélène, Legrand, Karine, Lomazzi, Sandra, Tardy, Bernard, Gagneux-Brunon, Amandine, Bertholon, Frédérique, Botelho-Nevers, Elisabeth, Christelle, Kouakam, Nicolas, Leturque, Roufai, Layidé, Amat, Karine, Espérou, Hélène, Hendou, Samia, Foti, Giuseppe, Bellani, Giacomo, Citerio, Giuseppe, Contro, Ernesto, Pesci, Alberto, Valsecchi, Maria Grazia, Cazzaniga, Marina, Abad, Jorge, Accordino, Giulia, Achille, Cristian, Aguilera-Albesa, Sergio, Aguiló-Cucurull, Aina, Özkan, Esra Akyüz, Albisures, Jonathan Antonio Roblero, Aldave, Juan C., Ramos, Miquel Alfonso, Khan, Taj Ali, Aliberti, Anna, Nadji, Seyed Alireza, Alkan, Gulsum, AlKhater, Suzan A., Allardet-Servent, Jerome, Alshahrani, Mohammed S., Alsina, Laia, Amoura, Zahir, Antolí, Arnau, Arrestier, Romain, Aubart, Mélodie, Auguet, Teresa, Avramenko, Iryna, Aytekin, Gökhan, Azot, Axelle, Bahram, Seiamak, Bajolle, Fanny, Baldanti, Fausto, Baldolli, Aurélie, Ballester, Maite, Barrou, Benoit, Basso, Sabrina, Bayhan, Gulsum Iclal, Bezrodnik, Liliana, Bilbao, Agurtzane, Blanchard-Rohner, Geraldine, Blanco, Ignacio, Blandinières, Adeline, Blázquez-Gamero, Daniel, Bloomfield, Marketa, Bolivar-Prados, Mireia, Borghesi, Alessandro, Borie, Raphael, Botdhlo-Nevers, Elisabeth, Bousquet, Aurore, Boutolleau, David, Bouvattier, Claire, Boyarchuk, Oksana, Bravais, Juliette, Briones, M. Luisa, Brunner, Marie-Eve, Bruno, Raffaele, Bueno, Maria Rita P., Bukhari, Huda, Bustamante, Jacinta, Agra, Juan José Cáceres, Capra, Ruggero, Carapito, Raphael, Carrabba, Maria, Casasnovas, Carlos, Caseris, Marion, Cassaniti, Irene, Castelle, Martin, Castelli, Francesco, de Vera, Martín Castillo, Castro, Mateus V., Catherinot, Emilie, Celik, Jale Bengi, Ceschi, Alessandro, Chalumeau, Martin, Charbit, Bruno, Cheng, Matthew P., Clavé, Père, Clotet, Bonaventura, Codina, Anna, Comarmond, Cloé, Comoli, Patrizia, Corsico, Angelo G., Sozeri, Betul, Coşkuner, Taner, Cvetkovski, Aleksandar, Cyrus, Cyril, Dalmau, David, Danion, François, Darley, David Ross, Das, Vincent, Dauby, Nicolas, Dauger, Stéphane, De Munter, Paul, de Pontual, Loic, Dehban, Amin, Delplancq, Geoffroy, Desguerre, Isabelle, Di Sabatino, Antonio, Diehl, Jean-Luc, Dobbelaere, Stephanie, Domínguez-Garrido, Elena, Dubost, Clément, Ekwall, Olov, Bozdemir, Şefika Elmas, Elnagdy, Marwa H., Emiroglu, Melike, Endo, Akifumi, Erdeniz, Emine Hafize, Aytekin, Selma Erol, Lasa, Maria Pilar Etxart, Euvrard, Romain, Fabio, Giovanna, Faivre, Laurence, Falck, Antonin, Fartoukh, Muriel, Faure, Morgane, Arquero, Miguel Fernandez, Ferrer, Ricard, Ferreres, Jose, Francois, Bruno, Fumadó, Victoria, Fung, Kitty S. C., Fusco, Francesca, Gagro, Alenka, Solis, Blanca Garcia, Garçon, Pierre, Gaussem, Pascale, Gayretli, Zeynep, Gil-Herrera, Juana, Gilardin, Laurent, Gatineau, Audrey Giraud, Girona-Alarcón, Mònica, Godínez, Karen Alejandra Cifuentes, Goffard, Jean-Christophe, Gonzales, Nacho, Gonzalez-Granado, Luis I., González-Montelongo, Rafaela, Guerder, Antoine, Gülhan, Belgin, Gumucio, Victor Daniel, Hanitsch, Leif Gunnar, Gunst, Jan, Hadjadj, Jérôme, Hariyan, Tetyana, Hatipoglu, Nevin, Heppekcan, Deniz, Hernandez-Brito, Elisa, Ho, Po-ki, Holanda-Peña, María Soledad, Horcajada, Juan P., Hraiech, Sami, Humbert, Linda, Hung, Ivan F. N., Iglesias, Alejandro D., Íñigo-Campos, Antonio, Jamme, Matthieu, Arranz, María Jesús, Jimeno, Marie-Thérèse, Jordan, Iolanda, Yüksek, Saliha Kanık, Kara, Yalcin Burak, Karahan, Aydın, Yasar, Kadriye Kart, Kasapcopur, Ozgur, Kashimada, Kenichi, Demirkol, Yasemin Kendir, Kido, Yasutoshi, Kizil, Can, Kılıç, Ahmet Osman, Klocperk, Adam, Koutsoukou, Antonia, Król, Zbigniew J., Ksouri, Hatem, Kuentz, Paul, Kwan, Arthur M. C., Kwan, Yat Wah M., Kwok, Janette S. Y., Lagier, Jean-Christophe, Lam, David S. Y., Lampropoulou, Vicky, Le Bourgeois, Fleur, Leo, Yee-Sin, Lopez, Rafael Leon, Leung, Daniel, Levin, Michael, Levy, Michael, Lévy, Romain, Li, Zhi, Lilleri, Daniele, Lima, Edson Jose Adrian Bolanos, Linglart, Agnes, López-Collazo, Eduardo, Lorenzo-Salazar, José M., Louapre, Céline, Lubetzki, Catherine, Lung, Kwok-Cheung, Luyt, Charles-Edouard, Lye, David C., Magnone, Cinthia, Marchioni, Enrico, Marioli, Carola, Marjani, Majid, Marques, Laura, Pereira, Jesus Marquez, Martín-Nalda, Andrea, Pueyo, David Martínez, Marzana, Iciar, Mata-Martínez, Carmen, Mathian, Alexis, Matos, Larissa R. B., Matthews, Gail V., Mayaux, Julien, McLaughlin-Garcia, Raquel, Meersseman, Philippe, Mège, Jean-Louis, Mekontso-Dessap, Armand, Melki, Isabelle, Meloni, Federica, Meritet, Jean-François, Merlani, Paolo, Akcan, Özge Metin, Mezidi, Mehdi, Millereux, Maude, Million, Matthieu, Mirault, Tristan, Mircher, Clotilde, Mirsaeidi, Mehdi, Mizoguchi, Yoko, Modi, Bhavi P., Mojoli, Francesco, Moncomble, Elsa, Melián, Abián Montesdeoca, Martinez, Antonio Morales, Morandeira, Francisco, Mordacq, Cléemence, Mouly, Stéphane J., Muñoz-Barrera, Adrián, Nafati, Cyril, Nagashima, Shintaro, Nakagama, Yu, Neven, Bénédicte, Neves, João Farela, Ng, Yuk-Yung, Nielly, hubert, Medina, Yeray Novoa, Cuadros, Esmeralda Nuñez, Ocejo-Vinyals, J. Gonzalo, Okamoto, Keisuke, Oualha, Mehdi, Ouedrani, Amani, Özçelik, Tayfun, Ozkaya-Parlakay, Aslinur, Pagani, Michele, Papadaki, Maria, Parola, Philippe, Pascreau, Tiffany, Paul, Stéphane, Paz-Artal, Estela, Pedraza, Sigifredo, Pellecer, Nancy Carolina González, Pellegrini, Silvia, Pérez-Fernández, Xosé Luis, Philippe, Aurélien, Philippot, Quentin, Picod, Adrien, de Chambrun, Marc Pineton, Piralla, Antonio, Ploin, Dominique, Poissy, Julien, Poncelet, Géraldine, Poulakou, Garyphallia, Pouletty, Marie S., Pourshahnazari, Persia, Qiu-Chen, Jia Li, Quentric, Paul, Rambaud, Thomas, Raoult, Didier, Raoult, Violette, Rebillat, Anne-Sophie, Redin, Claire, Resmini, Léa, Ricart, Pilar, Richard, Jean-Christophe, Rigo-Bonnin, Raúl, rivet, Nadia, Rocamora-Blanch, Gemma, Rodero, Mathieu P., Rodrigo, Carlos, Rodriguez, Luis Antonio, Rodriguez-Palmero, Agustí, Romero, Carolina Soledad, Rothenbuhler, Anya, Roux, Damien, Rovina, Nikoletta, Rozenberg, Flore, Ruch, Yvon, Ruiz, Montse, del Prado, Maria Yolanda Ruiz, Ruiz-Rodriguez, Juan Carlos, Sabater-Riera, Joan, Saks, Kai, Salagianni, Maria, Sanchez, Oliver, Sánchez-Montalvá, Adrián, Sánchez-Ramón, Silvia, Schidlowski, Laire, Schluter, Agatha, Schmidt, Julien, Schmidt, Matthieu, Schuetz, Catharina, Schweitzer, Cyril E., Scolari, Francesco, Seijo, Luis, Seminario, Analia Gisela, Seng, Piseth, Senoglu, Sevtap, Seppänen, Mikko, Llovich, Alex Serra, Siguret, Virginie, Siouti, Eleni, Smadja, David M., Smith, Nikaia, Solanich, Xavier, Solé-Violán, Jordi, Soler, Catherine, Sözeri, Betül, Stella, Giulia Maria, Stepanovskiy, Yuriy, Stoclin, Annabelle, Taccone, Fabio, Taupin, Jean-Luc, Tavernier, Simon, Tello, Loreto Vidaur, Terrier, Benjamin, Thiery, Guillaume, Thorball, Christian, Thorn, Karolina, Thumerelle, Caroline, Tolstrup, Martin, Tomasoni, Gabriele, Toubiana, Julie, Alvarez, Josep Trenado, Triantafyllia, Vasiliki, Trouillet-Assant, Sophie, Troya, Jesús, Tsang, Owen T. Y., Tserel, Liina, Tso, Eugene Y. K., Tucci, Alessandra, Öz, Şadiye Kübra Tüter, Ursini, Matilde Valeria, Utsumi, Takanori, Vabres, Pierre, Valencia-Ramos, Juan, Van Den Rym, Ana Maria, Vandernoot, Isabelle, Velez-Santamaria, Valentina, Veliz, Silvia Patricia Zuniga, Vidigal, Mateus C., Viel, Sébastien, Villain, Cédric, Vilaire-Meunier, Marie E., Villar-García, Judit, Vincent, Audrey, Volokha, Alla, Vuotto, Fanny, Wauters, Els, Wauters, Joost, Wu, Alan K. L., Wu, Tak-Chiu, Yahşi, Aysun, Yesilbas, Osman, Yildiz, Mehmet, Young, Barnaby E., Yükselmiş, Ufuk, Zecca, Marco, Zuccaro, Valentina, Van Praet, Jens, Lambrecht, Bart, Van Braeckel, Eva, Bosteels, Cedric, Hoste, Levi, Hoste, Eric, Bauters, Fre, Heijmans, Catherine, Slabbynck, Hans, Naesens, Leslie, Florkin, Benoit, Boulanger, Cécile, Vanderlinden, Dimitri, Berkell, Matilda, Carelli, Valerio, Fiorentino, Alessio, Malhotra, Surbi, Mattiaccio, Alessandro, Pippucci, Tommaso, Seri, Marco, Tacconelli, Evelina, van Agtmael, Michiel, Algera, Anne Geke, Appelman, Brent, van Baarle, Frank, Bax, Diane, Beudel, Martijn, Bogaard, Harm Jan, Bomers, Marije, Bonta, Peter, Bos, Lieuwe, Botta, Michela, de Brabander, Justin, de Bree, Godelieve, de Bruin, Sanne, Buis, David T. P., Bugiani, Marianna, Bulle, Esther, Cloherty, Osoul Chouchane Alex, Dijkstra, Mirjam, Dongelmans, Dave A., Dujardin, Romein W. G., Elbers, Paul, Fleuren, Lucas, Geijtenbeek, Suzanne Geerlings Theo, Girbes, Armand, Goorhuis, Bram, Grobusch, Martin P., Hafkamp, Florianne, Hagens, Laura, Hamann, Jorg, Harris, Vanessa, Hemke, Robert, Heunks, Sabine M. Hermans Leo, Hollmann, Markus, Horn, Janneke, Hovius, Joppe W., de Jong, Menno D., Koning, Rutger, Lim, Endry H. T., van Mourik, Niels, Nellen, Jeaninne, Nossent, Esther J., Paulus, Frederique, Peters, Edgar, Pina-Fuentes, Dan A. I., van der Poll, Tom, Preckel, Bennedikt, Prins, Jan M., Raasveld, Jorinde, Reijnders, Tom, de Rotte, Maurits C. F. J., Schinkel, Michiel, Schultz, Marcus J., Schrauwen, Femke A. P., Schuurmans, Alex, Schuurmans, Jaap, Sigaloff, Kim, Slim, Marleen A., Smeele, Patrick, Smit, Marry, Stijnis, Cornelis S., Stilma, Willemke, Teunissen, Charlotte, Thoral, Patrick, Tsonas, Anissa M., Tuinman, Pieter R., van der Valk, Marc, Veelo, Denise, Volleman, Carolien, de Vries, Heder, Vught, Lonneke A., van Vugt, Michèle, Wouters, Dorien, Zwinderman, A. H., Brouwer, Matthijs C., Wiersinga, W. Joost, Vlaar, Alexander P. J., Tompkins, Miranda F., Alba, Camille, Hupalo, Daniel N., Rosenberger, John, Sukumar, Gauthaman, Wilkerson, Matthew D., Zhang, Xijun, Lack, Justin, Oler, Andrew J., Dobbs, Kerry, Danielson, Jeffrey J., Biondi, Andrea, Bettini, Laura Rachele, D’Angio’, Mariella, Beretta, Ilaria, Imberti, Luisa, Sottini, Alessandra, Quaresima, Virginia, Quiros-Roldan, Eugenia, Rossi, Camillo, Zhang, Shen-Ying, Declercq, Jozefien, Puel, Anne, Boisson-Dupuis, Stephanie, Boisson, Bertrand, Jouanguy, Emmanuelle, Zhang, Qian, Cobat, Aurélie, COVID Human Genetic Effort, [missing], COVIDeF Study Group, [missing], French COVID Cohort Study Group, [missing], CoV-Contact Cohort, [missing], COVID-STORM Clinicians, [missing], COVID Clinicians, [missing], Orchestra Working Group, [missing], Amsterdam UMC Covid-19 Biobank, [missing], and NIAID-USUHS COVID Study Group, [missing]

Subjects
Medicine and Health Sciences, Genetics, Molecular Medicine, Molecular Biology, Genetics (clinical)
Published
2023

9. Neurofilament light increases over time in severe COVID-19 and is associated with delirium

Author

Smeele, Patrick J., Vermunt, Lisa, Blok, Siebe, Duitman, Jan Willem, Nossent, Esther J., van Agtmael, Michiel A., Heunks, Leo M. A., Horn, Janneke, Bogaard, Harm Jan, Teunissen, Charlotte E., van Agtmael, Michiel, Algera, Anne Geke, Appelman, Brent, van Baarle, Frank, Bax, Diane, Beudel, Martijn, Bomers, Marije, Bonta, Peter, Bos, Lieuwe, Botta, Michela, de Brabander, Justin, de Bree, Godelieve, de Bruin, Sanne, Buis, David T. P., Bugiani, Marianna, Bulle, Esther, Chekrouni, Nora, Chouchane, Osoul, Cloherty, Alex, Dijkstra, Mirjam, Dongelmans, Dave A., Duijvelaar, Erik, Dujardin, Romein W. G., Elbers, Paul, Fleuren, Lucas, Geerlings, Suzanne, Geijtenbeek, Theo, Girbes, Armand, Goorhuis, Bram, Grobusch, Martin P., Hafkamp, Florianne, Hagens, Laura, Hamann, Jorg, Harris, Vanessa, Hemke, Robert, Hermans, Sabine M., Heunks, Leo, Hollmann, Markus, Hovius, Joppe W., de Jong, Menno D., Koning, Rutger, Lim, Endry H. T., van Mourik, Niels, Nellen, Jeaninne, Olie, Sabine, Paulus, Frederique, Peters, Edgar, Pina-Fuentes, Dan A. I., van der Poll, Tom, Preckel, Bennedikt, Raasveld, Jorinde, Reijnders, Tom, de Rotte, Maurits C. F. J., Schippers, Job R., Schinkel, Michiel, Schultz, Marcus J., Schrauwen, Femke A. P., Schuurman, Alex, Schuurmans, Jaap, Sigaloff, Kim, Slim, Marleen A., Smeele, Patrick, Smit, Marry, Stijnis, Cornelis S., Stilma, Willemke, Thoral, Patrick, Tsonas, Anissa M., Tuinman, Pieter R., van der Valk, Marc, Veelo, Denise, Volleman, Carolien, de Vries, Heder, Vught, Lonneke A., van Vugt, Michéle, Wouters, Dorien, Zwinderman, A. H., Brouwer, Matthijs C., Wiersinga, W. Joost, Vlaar, Alexander P. J., van de Beek, Diederik, Clinical chemistry, Amsterdam Neuroscience - Neurodegeneration, Pulmonary medicine, CCA - Cancer Treatment and quality of life, ACS - Pulmonary hypertension & thrombosis, Amsterdam Neuroscience - Neuroinfection & -inflammation, Internal medicine, AII - Infectious diseases, AII - Inflammatory diseases, Intensive care medicine, ACS - Diabetes & metabolism, Medical Microbiology and Infection Control, Graduate School, Intensive Care Medicine, Pulmonology, 01 Internal and external specialisms, Experimental Immunology, ANS - Neuroinfection & -inflammation, Center of Experimental and Molecular Medicine, Neurology, ANS - Neurodegeneration, ACS - Heart failure & arrhythmias, Infectious diseases, APH - Aging & Later Life, APH - Global Health, ACS - Amsterdam Cardiovascular Sciences, Genetic Metabolic Diseases, APH - Quality of Care, AII - Amsterdam institute for Infection and Immunity, Global Health, APH - Health Behaviors & Chronic Diseases, Radiology and Nuclear Medicine, AMS - Musculoskeletal Health, AMS - Sports, APH - Methodology, Anesthesiology, ACS - Microcirculation, Medical Microbiology and Infection Prevention, ANS - Amsterdam Neuroscience, Nursing, Laboratory for General Clinical Chemistry, APH - Digital Health, APH - Personalized Medicine, Epidemiology and Data Science, and Laboratory Medicine

Subjects
delirium, TNF-α, neurofilament light, General Engineering, COVID-19, SOFA
Abstract

Neurological monitoring in sedated Intensive Care Unit patients is constrained by the lack of reliable blood-based biomarkers. Neurofilament light is a cross-disease biomarker for neuronal damage with potential clinical applicability for monitoring Intensive Care Unit patients. We studied the trajectory of neurofilament light over a month in Intensive Care Unit patients diagnosed with severe COVID-19 and explored its relation to clinical outcomes and pathophysiological predictors. Data were collected over a month in 31 Intensive Care Unit patients (166 plasma samples) diagnosed with severe COVID-19 at Amsterdam University Medical Centre, and in the first week after emergency department admission in 297 patients with COVID-19 (635 plasma samples) admitted to Massachusetts General hospital. We observed that Neurofilament light increased in a non-linear fashion in the first month of Intensive Care Unit admission and increases faster in the first week of Intensive Care Unit admission when compared with mild-moderate COVID-19 cases. We observed that baseline Neurofilament light did not predict mortality when corrected for age and renal function. Peak neurofilament light levels were associated with a longer duration of delirium after extubation in Intensive Care Unit patients. Disease severity, as measured by the sequential organ failure score, was associated to higher neurofilament light values, and tumour necrosis factor alpha levels at baseline were associated with higher levels of neurofilament light at baseline and a faster increase during admission. These data illustrate the dynamics of Neurofilament light in a critical care setting and show associations to delirium, disease severity and markers for inflammation. Our study contributes to determine the clinical utility and interpretation of neurofilament light levels in Intensive Care Unit patients.

Published
2021

11. Age-related changes in plasma biomarkers and their association with mortality in COVID-19.

Author

Michels EHA, Appelman B, de Brabander J, van Amstel RBE, Chouchane O, van Linge CCA, Schuurman AR, Reijnders TDY, Sulzer TAL, Klarenbeek AM, Douma RA, Bos LDJ, Wiersinga WJ, Peters-Sengers H, van der Poll T, van Agtmael M, Algera AG, Appelman B, van Baarle F, Beudel M, Bogaard HJ, Bomers M, Bonta P, Bos L, Botta M, de Brabander J, de Bree G, de Bruin S, Bugiani M, Bulle E, Buis DTP, Chouchane O, Cloherty A, Dijkstra M, Dongelmans DA, Dujardin RWG, Elbers P, Fleuren L, Geerlings S, Geijtenbeek T, Girbes A, Goorhuis B, Grobusch MP, Hagens L, Hamann J, Harris V, Hemke R, Hermans SM, Heunks L, Hollmann M, Horn J, Hovius JW, de Jong HK, de Jong MD, Koning R, Lemkes B, Lim EHT, van Mourik N, Nellen J, Nossent EJ, Olie S, Paulus F, Peters E, Pina-Fuentes DAI, van der Poll T, Preckel B, Prins JM, Raasveld J, Reijnders T, de Rotte MCFJ, Schinkel M, Schultz MJ, Schrauwen FAP, Schuurman A, Schuurmans J, Sigaloff K, Slim MA, Smeele P, Smit M, Stijnis CS, Stilma W, Teunissen C, Thoral P, Tsonas AM, Tuinman PR, van der Valk M, Veelo DP, Volleman C, de Vries H, Vught LA, van Vugt M, Wouters D, Zwinderman AHK, Brouwer MC, Wiersinga WJ, Vlaar APJ, and van de Beek D

Subjects
Humans, Aged, Biomarkers, Inflammation, Cytokines, Aging, COVID-19
Abstract

Background: Coronavirus disease 2019 (COVID-19)-induced mortality occurs predominantly in older patients. Several immunomodulating therapies seem less beneficial in these patients. The biological substrate behind these observations is unknown. The aim of this study was to obtain insight into the association between ageing, the host response and mortality in patients with COVID-19., Methods: We determined 43 biomarkers reflective of alterations in four pathophysiological domains: endothelial cell and coagulation activation, inflammation and organ damage, and cytokine and chemokine release. We used mediation analysis to associate ageing-driven alterations in the host response with 30-day mortality. Biomarkers associated with both ageing and mortality were validated in an intensive care unit and external cohort., Results: 464 general ward patients with COVID-19 were stratified according to age decades. Increasing age was an independent risk factor for 30-day mortality. Ageing was associated with alterations in each of the host response domains, characterised by greater activation of the endothelium and coagulation system and stronger elevation of inflammation and organ damage markers, which was independent of an increase in age-related comorbidities. Soluble tumour necrosis factor receptor 1, soluble triggering receptor expressed on myeloid cells 1 and soluble thrombomodulin showed the strongest correlation with ageing and explained part of the ageing-driven increase in 30-day mortality (proportion mediated: 13.0%, 12.9% and 12.6%, respectively)., Conclusions: Ageing is associated with a strong and broad modification of the host response to COVID-19, and specific immune changes likely contribute to increased mortality in older patients. These results may provide insight into potential age-specific immunomodulatory targets in COVID-19., Competing Interests: Conflicts of interest: The authors declare no potential conflicts of interest., (Copyright ©The authors 2023.)

Published
2023
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12. Rotational thromboelastometry in critically ill COVID-19 patients does not predict thrombosis.

Author

Dujardin RWG, Garcia Rosenbaum G, Klercq TCJ, Thachil J, Nielsen ND, and Juffermans NP

Abstract

Background: Critically ill COVID-19 patients are in a hypercoagulable state with increased risk of thrombotic complications. Rotational thromboelastometry (ROTEM) is a viscoelastic test with the potential to reflect COVID-19-associated hypercoagulability and may therefore be useful to predict thrombotic complications., Objective: To investigate the potential of ROTEM profiles to predict thrombotic complications in critically ill COVID-19 patients., Patients/methods: Retrospective multicenter cohort study in 113 adult patients with confirmed COVID-19 infection admitted to the intensive care unit (ICU) of two large teaching hospitals in the United States and in the Netherlands. ROTEM profiles of the EXTEM, INTEM, and FIBTEM tracings were measured within 72 h of ICU admission. Thrombotic complications encompass both arterial and venous thromboembolic complications, diagnosed with electrocardiogram, ultrasound, or computed tomography. ROTEM profiles were compared between patients with and without thrombosis. Univariable logistic regression followed by receiver operating characteristic (ROC) curves analysis was performed to identify ROTEM parameters associated with thrombosis., Results and Conclusions: Of 113 patients, 27 (23.9%) developed a thrombotic event. In the univariable analysis, EXTEM clot amplitude at 10 min (CA10) and EXTEM maximum clot formation (MCF) were associated with thrombosis with a p  < 0.2 ( p  = 0.07 and p  = 0.05, respectively). In ROC curve analysis, EXTEM CA10 had an area under the curve (AUC) of 0.58 (95% CI 0.47-0.70) and EXTEM MCF had an AUC of 0.60 (95% CI 0.49-0.71). Thereby, ROTEM profiles at ICU admission did not have the potential to differentiate between patients with a high and low risk for thrombotic complications., (© 2022 The Authors. Research and Practice in Thrombosis and Haemostasis published by Wiley Periodicals LLC on behalf of International Society on Thrombosis and Haemostasis (ISTH).)

Published
2022
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13. The relation between fibrinogen level, neutrophil activity and nucleosomes in the onset of disseminated intravascular coagulation in the critically ill.

Author

Müller MCA, Dujardin RWG, Thachil J, van Mierlo G, Zeerleder SS, and Juffermans NP

Subjects
Critical Illness, Humans, Disseminated Intravascular Coagulation diagnosis, Fibrinogen analysis, Neutrophils cytology, Nucleosomes, Thrombocytopenia
Abstract

Background: Nucleosomes and neutrophil extracellular traps (NETs) are important in the pathophysiology of disseminated intravascular coagulation (DIC). Fibrinogen, as an acute phase reactant, may be protective by engaging neutrophils. We hypothesize that DIC can occur when NET formation becomes uncontrolled in relation to low fibrinogen levels., Patients/method: The ratio of both circulating nucleosomes and human neutrophil elastase alpha-1-antitrypsine complexes (HNE-a1ATc) to fibrinogen was correlated to thrombocytopenia, DIC and organ failure in 64 critically ill coagulopathic patients., Results: A high nucleosome to fibrinogen ratio correlated with thrombocytopenia and organ failure (ρ -0.391, p 0.01 and ρ 0.556, p 0.01, respectively). A high HNE-a1ATc to fibrinogen ratio correlated with thrombocytopenia, DIC and organ failure (ρ -0.418, p 0.01, ρ 0.391, p 0.01 and ρ 0.477, p 0.01 respectively)., Conclusion: These findings support the hypothesis that fibrinogen is protective against DIC by counterbalancing excessive neutrophil activation., (© 2021 The Association for the Publication of the Journal of Internal Medicine.)

Published
2021
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15. Biomarkers for the prediction of venous thromboembolism in critically ill COVID-19 patients.

Author

Dujardin RWG, Hilderink BN, Haksteen WE, Middeldorp S, Vlaar APJ, Thachil J, Müller MCA, and Juffermans NP

Subjects
Aged, Biomarkers blood, COVID-19 blood, Female, Humans, Male, Middle Aged, Retrospective Studies, Risk Factors, Venous Thromboembolism diagnosis, C-Reactive Protein analysis, COVID-19 complications, Critical Illness, Fibrin Fibrinogen Degradation Products analysis, SARS-CoV-2, Venous Thromboembolism etiology
Abstract

Background: Venous thromboembolism (VTE) is a frequent complication in critically ill patients with coronavirus disease 2019 (COVID-19) and is associated with mortality. Early diagnosis and treatment of VTE is warranted., Objective: To develop a prediction model for VTE in critically ill COVID-19 patients., Patients and Methods: In this retrospective cohort study, 127 adult patients with confirmed COVID-19 infection admitted to the intensive care unit of two teaching hospitals were included. VTE was diagnosed with either ultrasound or computed tomography scan. Univariate receiver operating characteristic (ROC) curves were constructed for Positive End Expiratory Pressure, PaO 2 /FiO 2 ratio, platelet count, international normalized ratio, activated partial thromboplastin time as well as levels of fibrinogen, antithrombin, D-dimer and C-reactive protein (CRP). Multivariate analysis was done using binary linear regression., Results: Variables associated with VTE in both univariate and multivariate analysis were D-dimer and CRP with an area under the curve (AUC) of 0.64, P = 0.023 and 0.75, P = 0.045, respectively. Variables indicating hypoxemia were not predictive. The ROC curve of D-dimer and CRP combined had an AUC of 0.83, P < 0.05. Categorized values of D-dimer and CRP were used to compute a mean absolute risk for the combination of these variables with a high positive predictive value. The predicted probability of VTE with a D-dimer > 15 in combination with a CRP > 280 was 98%. The negative predictive value of D-dimer was low., Conclusion: Elevated CRP and D-dimer have a high positive predictive value for VTE in critically ill COVID-19 patients. We developed a prediction table with these biomarkers that can aid clinicians in the timing of imaging in patients with suspected VTE., (Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Published
2020
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