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J.P., Stone, C., Wigmore, T., Arunan, Y., Wheeler, A., Bauchmuller, K., Bryden, D., Wong, Y., Poi, C., Gu, C., Molmy, P., Van Grunderbeeck, N., Nigeon, O., Lemyze, M., Thevenin, D., Mallat, J., Ramos, J., Correa, M., Carvalho, R.T., Forte, D., Fernandez, A., McBride, C., Koonthalloor, E., Walsh, C., Webber, A., Ashe, M., Smith, K., Jeanrenaud, P., Marudi, A., Baroni, S., Ragusa, F., Bertellini, E., Volakli, E.A., Chochliourou, E., Dimitriadou, M., Violaki, A., Mantzafleri, P., Samkinidou, E., Vrani, O., Arbouti, A., Varsami, T., Sdougka, M., Bollen, J.A., Van Smaalen, T.C., De Jongh, W.C., Ten Hoopen, M.M., Ysebaert, D., Van Heurn, L.W., Van Mook, W.N., Sim, K., Fuller, A., Roze des Ordons, A., Couillard, P., Doig, C., Van Keer, R.V., Deschepper, R.D., Francke, A.F., Huyghens, L.H., Bilsen, J.B., Nyamaizi, B., Dalrymple, C., Molokhia, A., Dobru, A., Marrinan, E., Ankuli, A., Molokhia, A., McPeake, J., Struthers, R., Crawford, R., Devine, H., Mactavish, P., Quasim, T., Morelli, P., 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Jiménez, F.J.J., Cardiac Arrest Group HUVR, Cota-Delgado, F., de la Torre-Prados, M.V., Fernández-Porcel, A., Nuevo-Ortega, P., Cámara-Sola, E., Tsvetanova-Spasova, T., Rueda-Molina, C., Salido-Díaz, L., García-Alcántara, A., Kaneko, T., Tanaka, H., Kamikawa, M., Karashima, R., Iwashita, S., Irie, H., Kasaoka, S., Arola, O., Laitio, R., Saraste, A., Airaksinen, J., Pietilä, M., Hynninen, M., Wennervirta, J., Bäcklund, M., Ylikoski, E., Silvasti, P., Nukarinen, E., Grönlund, J., Harjola, V.P., Niiranen, J., Korpi, K., Varpula, M., Roine, R.O., Laitio, T., Xe-HYPOTHECA study group, Salah, S., Hassen, B.G., Fehmi, A.M., Kim, S., Hsu, Y.C., Barea-Mendoza, J., García-Fuentes, C., Castillo-Jaramillo, M., Dominguez-Aguado, H., Viejo-Moreno, R., Terceros-Almanza, L., Aznárez, S.B., Mudarra-Reche, C., Xu, W., Chico-Fernández, M., Montejo-González, J.C., Crewdson, K., Thomas, M., Merghani, M., Fenner, L., Morgan, P., Lockey, D., van Lieshout, E.J., Oomen, B., Binnekade, J.M., Dongelmans, D.A., 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S., Reuter, D.A., Fernandez, M.M., Fernandez, R., Magret, M., González-Castro, A., Bouza, M.T., Ibañez, M., García, C., Balerdi, B., Mas, A., Arauzo, V., Añón, J.M., Ruiz, F., Ferreres, J., Tomás, R., Alabert, M., Tizón, A.I., Altaba, S., Llamas, N., Goligher, E.C., Fan, E., Herridge, M., Vorona, S., Sklar, M., Dres, M., Rittayamai, N., Lanys, A., Urrea, C., Tomlinson, G., Reid, W.D., Rubenfeld, G.D., Kavanagh, B.P., Brochard, L.J., Ferguson, N.D., Neto, A.S., de Abreu, M.G., Pelosi, P., Schultz, M.J., PRoVENT investigators and the PROVE Network, Guérin, C., Papazian, L., Reignier, J., Ayzac, L., Loundou, A., Forel, J.M., Rolland-Debord, C., Bureau, C., Poitou, T., Clavel, M., Perbet, S., Terzi, N., Kouatchet, A., Similowski, T., Demoule, A., Hunfeld, N., Trogrlic, Z., Ladage, S., Osse, R.J., Koch, B., Rietdijk, W., Devlin, J., van der Jagt, M., Picetti, E., Ceccarelli, P., Mensi, F., Malchiodi, L., Risolo, S., Rossi, I., Antonini, M.V., Servadei, F., Caspani, M.L., Roquilly, A., Lasocki, S., Seguin, P., Geeraerts, T., Perrigault, P.F., Dahyot-Fizelier, C., Paugam-Burtz, C., Cook, F., Cinotti, R., Dit Latte, D.D., Mahe, P.J., Fortuit, C., Feuillet, F., Asehnoune, K., Marzorati, C., Spina, S., Scaravilli, V., Vargiolu, A., Riva, M., Giussani, C., Sganzerla, E., Citerio, G., Barbadillo, S., de Molina, F.J.G., Álvarez-Lerma, F., Rodríguez, A., SEMICYUC/GETGAG Working Group, Zakharkina, T., Martin-Loeches, I., Matamoros, S., Povoa, P., Torres, A., Kastelijn, J., Hofstra, J.J., de Jong, M., Schultz, M., Sterk, P., Artigas, A., Bos, L.J., Moreau, A.S., Martin-Loeches, I., Povoa, P., Salluh, J., Rodriguez, A., Nseir, S., TAVeM study group, de Jong, E., van Oers, J.A., Beishuizen, A., Girbes, A.R.J., Nijsten, M.W.N., de Lange, D.W., Bonvicini, D., Labate, D., Benacchio, L., Olivieri, A., Pizzirani, E., Lopez-Delgado, J.C., Gonzalez-Romero, M., Fuentes-Mila, V., Berbel-Franco, D., Romera-Peregrina, I., Martinez-Pascual, A., Perez-Sanchez, J., Abellan-Lencina, R., Ávila-Espinoza, R.E., Moreno-Gonzalez, G., Sbraga, F., Griffiths, S., Grocott, M.P.W., Creagh-Brown, B., POPC-CB investigators, Doyle, J., Wilkerson, P., Soon, Y., Huddart, S., Dickinson, M., Riga, A., Zuleika, A., Miyamoto, K., Kawazoe, Y., Morimoto, T., Yamamoto, T., Fuke, A., Hashimoto, A., Koami, H., Beppu, S., Katayama, Y., Ito, M., Ohta, Y., Yamamura, H., DESIRE (DExmedetomidine for Sepsis in ICU Randomized Evaluation) Trial Investigators, Rygård, S.L., Holst, L.B., Wetterslev, J., Johansson, P.I., Perner, A., Soliman, I.W., de Lange, D.W., van Dijk, D., van Delden, J.J.M., Cremer, O.L., Slooter, A.J.C., Peelen, L.M., McWilliams, D., Snelson, C., Neves, A.D., Loudet, C.I., Busico, M., Vazquez, D., Villalba, D., Veronesi, M., Lischinsky, A., López, F.J.L., Mori, L.B., Plotnikow, G., Díaz, A., Giannasi, S., Hernandez, R., Krzisnik, L., Cecotti, C., Viola, L., Lopez, R., Sottile, J.P., Benavent, G., Estenssoro, E., Chen, C.M., Lai, C.C., Cheng, K.C., Chou, W., Chan, K.S., Roeker, L.E., Horkan, C.M., Gibbons, F.K., Christopher, K.B., Weijs, P.J.M., Mogensen, K.M., Rawn, J.D., Robinson, M.K., Christopher, K.B., Tang, Z., Qiu, C., Ouyang, B., Cai, C., Guan, X., Regueira, T., Cea, L., Carlos, S.J., Elisa, B., Puebla, C., Vargas, A., Poulsen, M.K., Thomsen, L.P., Kjærgaard, S., Rees, S.E., Karbing, D.S., Wollersheim, T., Frank, S., Müller, M.C., Carbon, N.M., Skrypnikov, V., Pickerodt, P.A., Falk, R., Mahlau, A., Weber-Carstens, S., Lee, A., Inglis, R., Morgan, R., Barker, G., Kamata, K., Abe, T., Saitoh, D., Tokuda, Y., Green, R.S., Butler, M.B., Erdogan, M., Hwa, H.T., Gil, L.J., Vaquero, R.H., Rodriguez-Ruiz, E., Lago, A.L., Allut, J.L.G., Gestal, A.E., Gonzalez, M.A.G., Thomas-Rüddel, D.O., Schwarzkopf, D., Fleischmann, C., Reinhart, K., Suwanpasu, S., Sattayasomboon, Y., Filho, N.M.F., Oliveira, J.C.A., Ballalai, C.S., De Lucia, C.V., Araponga, G.P., Veiga, L.N., Silva, C.S., Garrido, M.E., Ramos, B.B., Ricaldi, E.F., Gomes, S.S., GEMINI, Gemmell, L., MacKay, A., Wright, C., Docking, R.I., Doherty, P., Black, E., Stenhouse, P., Plummer, M.P., Finnis, M.E., Phillips, L.K., Kar, P., Bihari, S., Biradar, V., Moodie, S., Horowitz, M., Shaw, J.E., Deane, A.M., Yatabe, T., Inoue, S., Sakaguchi, M., Egi, M., Abdelhamid, Y.A., Plummer, M.P., Finnis, M.E., Phillips, L.K., Kar, P., Bihari, S., Biradar, V., Moodie, S., Horowitz, M., Shaw, J.E., Deane, A.M., Hokka, M., Egi, M., Mizobuchi, S., Kar, P., Plummer, M., Abdelhamid, Y.A., Giersch, E., Summers, M., Hatzinikolas, S., Heller, S., Chapman, M., Jones, K., Horowitz, M., Deane, A., Schweizer, R., Jacquet-Lagreze, M., Portran, P., Junot, S., Allaouchiche, B., Fellahi, J.L., Guerci, P., Ergin, B., Kapucu, A., Ince, C., Cioccari, L., Luethi, N., Crisman, M., Bellomo, R., Mårtensson, J., Shinotsuka, C.R., Fagnoul, D., Brasseur, A., Orbegozo, D., Vincent, J.L., Preiser, J.C., Preiser, J.C., Lheureux, O., Thooft, A., Brimioulle, S., Vincent, J.L., Iwasaka, H., Tahara, S., Nagamine, M., Ichigatani, A., Cabrera, A.R., Zepeda, E.M., Granillo, J.F., Sánchez, J.S.A., Montoya, A.A.T., Montenegro, A.P., Blanco, G.A.G., Robles, C.M.C., Drolz, A., Horvatits, T., Roedl, K., Rutter, K., Kluge, S., Funk, G.C., Schneeweiss, B., Fuhrmann, V., Sabetian, G., Pooresmaeel, F., Zand, F., Ghaffaripour, S., Farbod, A., Tabei, H., Taheri, L., Anandanadesan, R., Metaxa, V., Teixeira, C., Pereira, S.M., Hernández-Marrero, P., Carvalho, A.S., Beckmann, M., Hartog, C.S., Schwarzkopf, D., Raadts, A., Robertsen, A., Førde, R., Skaga, N.O., Helseth, E., Honeybul, S., Ho, K., Lopez, P.M., Gonzalez, M.N., Ortega, P.N., Sola, E.C., Spasova, T., de la Torre-Prados, M.V., Kopecky, O., Rusinova, K., Waldauf, P., Cepeplikova, Z., Balik, M., Domínguez, J.P., Almudevar, P.M., Carmona, S.A., Muñoz, J.J.R., Castañeda, D.P., Abellán, A.N., Villamizar, P.R., Ramos, J.V., Pérez, L.P., Lucendo, A.P., Ejarque, M.C., Estella, A., Camps, V.L., Martín, M.C., Masnou, N., Bioethics work group of SEMICYUC, Barbosa, S., Varela, A., Palma, I., Cristina, L., Nunes, E., Pereira, I., Campello, G., Granja, C., Pande, R., Pandey, M., Varghese, S., Chanu, M., Van Dam, M.J., Ter Braak, E.W.M.T., Estella, A., Gracia, M., Viciana, R., Recuerda, M., Fontaiña, L.P., Tharmalingam, B., Kovari, F., Rose, L., Mcginlay, M., Amin, R., Burns, K., Connolly, B., Hart, N., Jouvet, P., Katz, S., Leasa, D., Mawdsley, C., Mcauley, D., Schultz, M., Blackwood, B., Denham, S., Worrall, R., Arshad, M., Isherwood, P., Khadjibaev, A., Sabirov, D., Rosstalnaya, A., Parpibaev, F., Sharipova, V., Blanco, G.A.G., Guzman, C.I.O., Sánchez, J.S.A., Granillo, J.F., Gupta, S., Govil, D., Srinivasan, S., Patel, S.J., N, J.K., Gupta, A., Shafi, M., Tomar, D.S., Harne, R., Arora, D.P., Talwar, N., Mazumdar, S., Cha, Y.S., Lee, S.J., Tyagi, N., Rajput, R.K., Taneja, S., Singh, V.K., Sharma, S.C., Mittal, S., Rao, B.K., Ayachi, J., Fraj, N., Romdhani, S., Khedher, A., Meddeb, K., Sma, N., Azouzi, A., Bouneb, R., Chouchene, I., El Ghardallou, M., Boussarsar, M., Jennings, R., Walter, E., Ribeiro, J.M., Moniz, I., Marçal, R., Santos, A.C., Candeias, C., E Silva, Z.C., Gomez, S.E.Z., Nieto, O.R.P., Gonzalez, J.A.C., Cuellar, A.I.V., Mildh, H., Pettilä, V., Korhonen, A.M., Karlsson, S., Ala-Kokko, T., Reinikainen, M., Vaara, S.T., FINNAKI Study Group, Zaleska-Kociecka, M., Grabowski, M., Dąbrowski, M., Wozniak, S., Piotrowska, K., Banaszewski, M., Imiela, J., Stepinska, J., Pérez, A.G., Ordoñez, P.F., Giribet, A., Cuervo, M.A.A., Cuervo, R.A., Esteban, M.A.R., Fraile, L.I., Mittelbrum, C.P., Albaiceta, G.M., Koeze, J., Keus, F., Dieperink, W., van der Horst, I.C.C., van Meurs, M., Zijlstra, J.G., Roberts, S., Caballero, C.H., Isgro, G., Hall, D., Beitland, S., Trøseid, A.M.S., Brusletto, B.S., Waldum-Grevbo, B.E., Berg, J.P., Sunde, K., Huertas, D.G., Manzano, F., Quintana, M.M.J., Osuna, A., Santiago-Ruiz, F., Rodríguez-Mejías, C., Wangensteen, R., Jamaati, H.R., Masjedi, M., Zand, F., Hashemian, S.M.R., Sabetian, G., Abbasi, G., Khaloo, V., Tabei, S.H.A., Kafilzadeh, A., Bakhodaei, H.H., Diaz, J.A., Silva, R., Garcia, D.J., Luis, E., Gomez, M.N., Soriano, R., Gonzalez, P.L., Ibrahim, I.A., Rafik, M.M., Al-Ansary, A.M., Algendi, M.A., Ali, A.A., Fuhrmann, V., Roedl, K., Horvatits, T., Drolz, A., Rutter, K., Benten, D., Kluwe, J., Siedler, S., Kluge, S., Adedugbe, I., Bird, G.T., Queen Square Neuroanaesthesia and Neurocritical Care Resreach Group, Kennedy, R.M., Sharma, S., Butler, M.B., Yugi, G., Haroon, B.A., Witter, T., Khaliq, W., Singer, M., Havaldar, A.A., Krishna, B., Sriram, S., Espinoza, E.D.V., Pozo, M.O., Edul, V.S.K., Furche, M., Motta, M.F., Vazquez, A.R., Birri, P.N.R., Ince, C., Dubin, A., Dogliotti, A., Ramos, A., Lovesio, C., Delile, E., Nevière, R., Thiébaut, P.A., Maupoint, J., Mulder, P., Coquerel, D., Renet, S., do Rego, J.C., Rieusset, J., Richard, V., Tamion, F., Khaliq, W., Andreis, D.T., Singer, M., Smit, B., Smulders, Y.M., de Waard, M.C., van Straaten, H.M.O., Girbes, A.R.J., Eringa, E.C., Man, A.M.E.S.D., Alegría, L., Soto, D., Luengo, C., Gomez, J., Jarufe, N., Bruhn, A., Castro, R., Kattan, E., Tapia, P., Rebolledo, R., Achurra, P., Ospina-Tascón, G., Bakker, J., Hernández, G., Bertini, P., Guarracino, F., Baldassarri, R., Pinsky, M.R., Alegría, L., Vera, M., Dreyse, J., Carpio, D., Henriquez, C., Gajardo, D., Bravo, S., Castro, R., Ospina-Tascón, G., Bakker, J., Hernández, G., Kim, S., Lee, M., Park, S.Y., So, S., Lee, H., Kačar, M.B., Kačar, S.M., Uddin, I., Belhaj, A.M., Aydın, M.A., Avsec, D., Kapuağası, A., Kaymak, Ç., Kovach, L., Şencan, I., Meço, B., Özçelik, M., Ünal, N., Lazaridis, C., Jenni-Moser, B., Jeitziner, M.M., Galassi, M.S., Sales, F.L., de Moraes, K.C.L., Batista, C.L., Júnior, J.A.D.S., Marcari, T.B., Lobato, R., Castro, C.S.A.A., de Souza, L.M., Rodrigues, F.F.P., Correa, N.G., Pelegrini, A.M., Eid, R.A.C., Timenetsky, K.T., Cazati, D., Lobato, M., Diniz, P.S., Rocha, L.L., Cavalheiro, A.M., Lucinio, N.M., Santos, E.R., Norrenberg, M., Gleize, A., Preiser, J.C., Simón, I.F., Carmona, S.A., Valhonrat, I.L., Domínguez, J.P., Abellán, A.N., Almudévar, P.M., Dávila, F., Rubio, J.J., Ramos, A.J., Reina, Á.J.R., López, N.P., Pérez, M.A., Apolo, D.X.C., Villén, L.M., López, F.M.P., García, I.P., Izurieta, J.R.N., Guerrero, J.J.E., Renal Transplantation HUVR, Calvert, S., Quint, M., Adeniji, K., Young, R., Shevill, D.D., Robertson, E., Garside, P., Walter, E., Isotti, P., De Vecchi, M.M., Perduca, A.E., Negro, A., Villa, G., Manara, D.F., Cabrini, L., Zangrillo, A., Frencken, J.F., van Baal, L., Peelen, L.M., Donker, D.W., Horn, J., van der Poll, T., van Klei, W.A., Bonten, M.J.M., Cremer, O.L., Menard, C.E., Kumar, A., Rimmer, E., Doucette, S., Turgeon, A.F., Houston, B.L., Houston, D.S., Zarychanski, R., Pinto, B.B., Carrara, M., Ferrario, M., Bendjelid, K., Nunes, J., Diaz, P., Silva, G., Escórcio, S., Chaves, S., Jardim, M., Fernandes, N., Câmara, M., Duarte, R., Pereira, C.A., Vieira, J., Nóbrega, J.J., Robles, C.M.C., de Oca-Sandoval, M.A.M., Sánchez-Rodríguez, A., Joya-Galeana, J.G., Correa-Morales, A., Camarena-Alejo, G., Aguirre-Sánchez, J., Franco-Granillo, J., Soliman, M., Al Azab, A., El Hossainy, R., Nagy, H., Nirmalan, M., Crippa, I.A., Cavicchi, F.Z., Vincent, J.L., Creteur, J., Taccone, F.S., Chaari, A., Hakim, K.A., Hassanein, H., Etman, M., El Bahr, M., Bousselmi, K., Khalil, E.S., Kauts, V., Casey, W.F., Imahase, H., Sakamoto, Y., Inoue, S., Yamada, K.C., Koami, H., Miike, T., Nagashima, F., Iwamura, T., Boscolo, A., Lucchetta, V., Piasentini, E., Bertini, D., Manesso, L., Spiezia, L., Simioni, P., Ori, C., Souza, R.B., Martins, A.M., Liberatore, A.M.A., Kang, Y.R., Nakamae, M.N., Vieira, J.C.F., Koh, I.H.J., Hanslin, K., Wilske, F., Skorup, P., Sjölin, J., Lipcsey, M., Long, W.J., Zhen, C.E., Vakalos, A., Avramidis, V., Wu, S.H., Shyu, L.J., Li, C.H., Yu, C.H., Chen, H.C., Wang, C.H., Lin, K.H., Aray, Z.E., Gómez, C.F., Tejero, A.P., Monge, D.D., Losada, V.M., Tarancón, C.M., Cortés, S.D., Gutiérrez, A.M., Álvarez, T.P., Rouze, A., Jaffal, K., Six, S., Stolz, K., Cattoen, V., Nseir, S., Arnal, J.M., Saoli, M., Novotni, D., Garnero, A., Becher, T., Buchholz, V., Schädler, D., Frerichs, I., Weiler, N., Eronia, N., Mauri, T., Gatti, S., Maffezzini, E., Bronco, A., Alban, L., Sasso, T., Marenghi, C., Grasselli, G., Pesenti, A., Bellani, G., Al-Fares, A., Del Sorbo, L., Anwar, S., Facchin, F., Azad, S., Zamel, R., Ferguson, N., Cypel, M., Keshavjee, S., Fan, E., Durlinger, E., Spoelstra-de Man, A., Smit, B., de Grooth, H.J., Girbes, A., Straaten, H.O.V., Smulders, Y., Alfaro, M.A., Parrilla, F., Meli, A., Pellegrini, M., Rodriguez, N., Goyeneche, J.M., Morán, I., Aguirre, H., Mancebo, J., Heines, S.J.H., Strauch, U., Bergmans, D.C.J.J., Blankman, P., Shono, A., Hasan, D., Gommers, D., Chung, W.Y., Lee, K.S., Jung, Y.J., Park, J.H., Sheen, S.S., Park, K.J., Worral, R., Denham, S., Isherwood, P., Rees, S.E., Larraza, S., Dey, N., Spadaro, S., Brohus, J.B., Winding, R.W., 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Mochan-Keef, E., Swigon, D., Ermentrout, G.B., & Clermont, G. (2015). A Three-Tiered Study of Differences in Murine Intrahost Immune Response to Multiple Pneumococcal Strains. In Hozbor, D.F. (Ed.). PLoS One, 10(8), e0134012.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0134012.
Price, I., Mochan-Keef, E.D., Swigon, D., Ermentrout, G.B., Lukens, S., Toapanta, F.R., Ross, T.M., & Clermont, G. (2015). The inflammatory response to influenza A virus (H1N1): An experimental and mathematical study. J Theor Biol, 374, 83-93.Elsevier. doi: 10.1016/j.jtbi.2015.03.017.
Sileanu, F.E., Murugan, R., Lucko, N., Clermont, G., Kane-Gill, S.L., Handler, S.M., & Kellum, J.A. (2015). AKI in low-risk versus high-risk patients in intensive care. Clin J Am Soc Nephrol, 10(2), 187-196.Wolters Kluwer. doi: 10.2215/CJN.03200314.
Lukens, S., DePasse, J., Rosenfeld, R., Ghedin, E., Mochan, E., Brown, S.T., Grefenstette, J., Burke, D.S., Swigon, D., & Clermont, G. (2014). A large-scale immuno-epidemiological simulation of influenza A epidemics. BMC Public Health, 14(1), 1019.Springer Nature. doi: 10.1186/1471-2458-14-1019.
Mochan, E., Swigon, D., Ermentrout, G.B., Lukens, S., & Clermont, G. (2014). A mathematical model of intrahost pneumococcal pneumonia infection dynamics in murine strains. J Theor Biol, 353, 44-54.Elsevier. doi: 10.1016/j.jtbi.2014.02.021.
Mourani, P.M., Kinsella, J.P., Clermont, G., Kong, L., Perkins, A.M., Weissfeld, L., Cutter, G., Linde-Zwirble, W.T., Abman, S.H., Angus, D.C., Watson, R.S., & Prolonged Outcomes after Nitric Oxide (PrONOx) Investigators. (2014). Intensive care unit readmission during childhood after preterm birth with respiratory failure. J Pediatr, 164(4), 749-755.e3.Elsevier. doi: 10.1016/j.jpeds.2013.11.062.
Peng, Z.Y., Bishop, J.V., Wen, X.Y., Elder, M.M., Zhou, F., Chuasuwan, A., Carter, M.J., Devlin, J.E., Kaynar, A.M., Singbartl, K., Pike, F., Parker, R.S., Clermont, G., Federspiel, W.J., & Kellum, J.A. (2014). Modulation of chemokine gradients by apheresis redirects leukocyte trafficking to different compartments during sepsis, studies in a rat model. Crit Care, 18(4), R141.Springer Nature. doi: 10.1186/cc13969.
Wu, C., Rosenfeld, R., & Clermont, G. (2014). Using data-driven rules to predict mortality in severe community acquired pneumonia. In Salluh, J.I.F. (Ed.). PLoS One, 9(4), e89053.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0089053.
Barber, J., Tronzo, M., Harold Horvat, C., Clermont, G., Upperman, J., Vodovotz, Y., & Yotov, I. (2013). A three-dimensional mathematical and computational model of necrotizing enterocolitis. J Theor Biol, 322, 17-32.Elsevier. doi: 10.1016/j.jtbi.2012.11.018.
Clermont, G. (2013). Translational Equation-Based Modeling. In Complex Systems and Computational Biology Approaches to Acute Inflammation. 9781461480082, (pp. 11-28).Springer Nature. doi: 10.1007/978-1-4614-8008-2_2.
Guillame-Bert, M., Dubrawski, A., Chen, L., Hravnak, M., Pinsky, M., & Clermont, G. (2013). LEARNING TEMPORAL RULES TO FORECAST INSTABILITY IN INTENSIVE CARE PATIENTS. Intensive Care Med, 39(Suppl 2), S470.Springer Nature. doi: 10.1007/s00134-013-3095-5.
Hauskrecht, M., Batal, I., Valko, M., Visweswaran, S., Cooper, G.F., & Clermont, G. (2013). Outlier detection for patient monitoring and alerting. J Biomed Inform, 46(1), 47-55.Elsevier. doi: 10.1016/j.jbi.2012.08.004.
Ho, T., Clermont, G., & Parker, R.S. (2013). A model of neutrophil dynamics in response to inflammatory and cancer chemotherapy challenges. COMPUTERS & CHEMICAL ENGINEERING, 51, 187-196.Elsevier. doi: 10.1016/j.compchemeng.2012.07.003.
Hravnak, M., Chen, L., Bose, E., Fiterau, M., Guillame-Bert, M., Dubrawski, A., Clermont, G., & Pinsky, M. (2013). Artifact Patterns in Continuous Noninvasive Monitoring of Patients. Intensive Care Med, 39(Suppl 2), S405.
Zenker, S., Kim, H.K., Clermont, G., & Pinsky, M.R. (2013). Robust model-based quantification of global ventricular torsion from spatially sparse three-dimensional time series data by orthogonal distance regression: evaluation in a canine animal model under different pacing regimes. Pacing Clin Electrophysiol, 36(1), 13-23.Wiley. doi: 10.1111/j.1540-8159.2012.03496.x.
Castro, R.A., Angus, D.C., Hong, S.Y., Lee, C., Weissfeld, L.A., Clermont, G., & Rosengart, M.R. (2012). Light and the outcome of the critically ill: an observational cohort study. Crit Care, 16(4), R132.Springer Nature. doi: 10.1186/cc11437.
Clermont, G. (2012). Is comparing intensive care unit and hospital performance based on administrative data obsolete?. Crit Care Med, 40(2), 654-655.Wolters Kluwer. doi: 10.1097/CCM.0b013e318240fa3e.
Gómez, H., Mesquida, J., Hermus, L., Polanco, P., Kim, H.K., Zenker, S., Torres, A., Namas, R., Vodovotz, Y., Clermont, G., Puyana, J.C., & Pinsky, M.R. (2012). Physiologic responses to severe hemorrhagic shock and the genesis of cardiovascular collapse: can irreversibility be anticipated?. J Surg Res, 178(1), 358-369.Elsevier. doi: 10.1016/j.jss.2011.12.015.
Peng, Z.Y., Wang, H.Z., Carter, M.J., Dileo, M.V., Bishop, J.V., Zhou, F.H., Wen, X.Y., Rimmelé, T., Singbartl, K., Federspiel, W.J., Clermont, G., & Kellum, J.A. (2012). Acute removal of common sepsis mediators does not explain the effects of extracorporeal blood purification in experimental sepsis. Kidney Int, 81(4), 363-369.Elsevier. doi: 10.1038/ki.2011.320.
Song, S.O., Hogg, J., Peng, Z.Y., Parker, R., Kellum, J.A., & Clermont, G. (2012). Correction: ensemble models of neutrophil trafficking in severe sepsis. In Papin, J.A. (Ed.). PLoS Comput Biol, 8(8), 10.1371/annotation/4ca315e7-1219-46fd-af5c-c29b8e6ecf93.Public Library of Science (PLoS). doi: 10.1371/annotation/4ca315e7-1219-46fd-af5c-c29b8e6ecf93.
Song, S.O., Song, S.O.K., Hogg, J., Peng, Z.Y., Parker, R., Kellum, J.A., & Clermont, G. (2012). Ensemble models of neutrophil trafficking in severe sepsis. In Papin, J.A. (Ed.). PLoS Comput Biol, 8(3), e1002422.Public Library of Science (PLoS). doi: 10.1371/journal.pcbi.1002422.
Castro, R., Hong, S., Lee, C., Weissfeld, L., Clermont, G., Angus, D., & Rosengart, M. (2011). Sunlight exposure does not influence ICU survival. Critical Care, 15(Suppl 1), p534.Springer Nature. doi: 10.1186/cc9954.
Clermont, G., Kong, L., Weissfeld, L.A., Lave, J.R., Rubenfeld, G.D., Roberts, M.S., Connors, A.F., Bernard, G.R., Thompson, B.T., Wheeler, A.P., Angus, D.C., & NHLBI ARDS Clinical Trials Network. (2011). The effect of pulmonary artery catheter use on costs and long-term outcomes of acute lung injury. In Malaga, G. (Ed.). PLoS One, 6(7), e22512.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0022512.
Nabors, S., Bountourelis, T., Schaefer, A., Luangkesorn, L., Kharoufeh, J., Maillart, L., Yang, W., & Clermont, G. (2011). Cost impact of blocking: predictability of ICU patient throughput and cost variance using process modeling. Critical Care, 15, (p. p460).Springer Nature. doi: 10.1186/cc9880.
Nguyen, Y.L., Milbrandt, E.B., Weissfeld, L.A., Kahn, J.M., Chiche, J.D., Aegerter, P., Clermont, G., Kellum, J.A., Guidet, B., & Angus, D.C. (2011). Intensive care unit renal support therapy volume is not associated with patient outcome. Crit Care Med, 39(11), 2470-2477.Wolters Kluwer. doi: 10.1097/CCM.0b013e3182257631.
Day, J., Rubin, J., & Clermont, G. (2010). Using nonlinear model predictive control to find optimal therapeutic strategies to modulate inflammation. Math Biosci Eng, 7(4), 739-763.American Institute of Mathematical Sciences (AIMS). doi: 10.3934/mbe.2010.7.739.
Donzé, A., Clermont, G., & Langmead, C.J. (2010). Parameter synthesis in nonlinear dynamical systems: application to systems biology. J Comput Biol, 17(3), 325-336.Mary Ann Liebert. doi: 10.1089/cmb.2009.0172.
Huang, D.T., Clermont, G., Kong, L., Weissfeld, L.A., Sexton, J.B., Rowan, K.M., & Angus, D.C. (2010). Intensive care unit safety culture and outcomes: a US multicenter study. Int J Qual Health Care, 22(3), 151-161.Oxford University Press (OUP). doi: 10.1093/intqhc/mzq017.
Parker, R.S., & Clermont, G. (2010). Systems engineering medicine: engineering the inflammation response to infectious and traumatic challenges. J R Soc Interface, 7(48), 989-1013.The Royal Society. doi: 10.1098/rsif.2009.0517.
Peng, Z., Singbartl, K., Simon, P., Rimmelé, T., Bishop, J., Clermont, G., & Kellum, J.A. (2010). Blood purification in sepsis: a new paradigm. Contrib Nephrol, 165, 322-328.Karger Publishers. doi: 10.1159/000313773.
Reynolds, A., Bard Ermentrout, G., & Clermont, G. (2010). A mathematical model of pulmonary gas exchange under inflammatory stress. J Theor Biol, 264(2), 161-173.Elsevier. doi: 10.1016/j.jtbi.2010.01.011.
Srisawat, N., Murugan, R., Wen, X., Singbartl, K., Clermont, G., Eiam-Ong, S., & Kellum, J.A. (2010). Recovery from acute kidney injury: determinants and predictors. Contrib Nephrol, 165, 284-291.Karger Publishers. doi: 10.1159/000313768.
Whitcomb, D.C., Muddana, V., Langmead, C.J., Houghton, F.D., Guenther, A., Eagon, P.K., Mayerle, J., Aghdassi, A.A., Weiss, F.U., Evans, A., Lamb, J., Clermont, G., Lerch, M.M., & Papachristou, G.I. (2010). Angiopoietin-2, a regulator of vascular permeability in inflammation, is associated with persistent organ failure in patients with acute pancreatitis from the United States and Germany. Am J Gastroenterol, 105(10), 2287-2292.Wolters Kluwer. doi: 10.1038/ajg.2010.183.
Závada, J., Hoste, E., Cartin-Ceba, R., Calzavacca, P., Gajic, O., Clermont, G., Bellomo, R., Kellum, J.A., & AKI6 investigators. (2010). A comparison of three methods to estimate baseline creatinine for RIFLE classification. Nephrol Dial Transplant, 25(12), 3911-3918.Oxford University Press (OUP). doi: 10.1093/ndt/gfp766.
Clermont, G., Auffray, C., Moreau, Y., Rocke, D.M., Dalevi, D., Dubhashi, D., Marshall, D.R., Raasch, P., Dehne, F., Provero, P., Tegner, J., Aronow, B.J., Langston, M.A., & Benson, M. (2009). Bridging the gap between systems biology and medicine. Genome Med, 1(9), 88.Springer Nature. doi: 10.1186/gm88.
Constantine, G.M., Bartels, J., Chow, C.C., Clermont, G., & Vodovotz, Y. (2009). A linear code parameter search algorithm with applications to immunology. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 42(1), 155-171.Springer Nature. doi: 10.1007/s10589-007-9118-9.
Dreisigmeyer, D.W., Rosenfeld, R., DePasse, J.V., Ghedin, E., Price, I., & Clermont, G. (2009). A multi-reservoir model of influenza evolution. J Crit Care, 24(3), e33-e34.Elsevier. doi: 10.1016/j.jcrc.2009.06.040.
Namas, R., Ghuma, A., Torres, A., Polanco, P., Gomez, H., Barclay, D., Gordon, L., Zenker, S., Kim, H.K., Hermus, L., Zamora, R., Rosengart, M.R., Clermont, G., Peitzman, A., Billiar, T.R., Ochoa, J., Pinsky, M.R., Puyana, J.C., & Vodovotz, Y. (2009). An adequately robust early TNF-alpha response is a hallmark of survival following trauma/hemorrhage. In Ojcius, D.M. (Ed.). PLoS One, 4(12), e8406.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0008406.
Tegnér, J.N., Compte, A., Auffray, C., An, G., Cedersund, G., Clermont, G., Gutkin, B., Oltvai, Z.N., Stephan, K.E., Thomas, R., & Villoslada, P. (2009). Computational disease modeling - fact or fiction?. BMC Syst Biol, 3(1), 56.Springer Nature. doi: 10.1186/1752-0509-3-56.
Watson, R.S., Clermont, G., Kinsella, J.P., Kong, L., Arendt, R.E., Cutter, G., Linde-Zwirble, W.T., Abman, S.H., Angus, D.C., & Prolonged Outcomes After Nitric Oxide Investigators. (2009). Clinical and economic effects of iNO in premature newborns with respiratory failure at 1 year. Pediatrics, 124(5), 1333-1343.American Academy of Pediatrics (AAP). doi: 10.1542/peds.2009-0114.
Zenker, S., Polanco, P.M., Torres, A., Clermont, G., Kim, H.K., Vodovotz, Y., Pinsky, M.R., Namas, R.A., & Puyana, J.C. (2009). Very low frequency variability in the peripheral circulation: the possibility of plethysmographic quantification. Eur J Anaesthesiol, 26(6), 522-524.Wolters Kluwer. doi: 10.1097/EJA.0b013e3283297539.
Daun, S., Rubin, J., Vodovotz, Y., & Clermont, G. (2008). Equation-based models of dynamic biological systems. J Crit Care, 23(4), 585-594.Elsevier. doi: 10.1016/j.jcrc.2008.02.003.
Daun, S., Rubin, J., Vodovotz, Y., Roy, A., Parker, R., & Clermont, G. (2008). An ensemble of models of the acute inflammatory response to bacterial lipopolysaccharide in rats: results from parameter space reduction. J Theor Biol, 253(4), 843-853.Elsevier. doi: 10.1016/j.jtbi.2008.04.033.
Hartman, M., Watson, R.S., Linde-Zwirble, W., Clermont, G., Lave, J., Weissfeld, L., Kochanek, P., & Angus, D. (2008). Pediatric traumatic brain injury is inconsistently regionalized in the United States. Pediatrics, 122(1), e172-e180.American Academy of Pediatrics (AAP). doi: 10.1542/peds.2007-3399.
Kumar, R., Chow, C.C., Bartels, J.D., Clermont, G., & Vodovotz, Y. (2008). A mathematical simulation of the inflammatory response to anthrax infection. Shock, 29(1), 104-111.Wolters Kluwer. doi: 10.1097/SHK.0b013e318067da56.
Li, N.Y.K., Verdolini, K., Clermont, G., Mi, Q., Rubinstein, E.N., Hebda, P.A., & Vodovotz, Y. (2008). A patient-specific in silico model of inflammation and healing tested in acute vocal fold injury. In Csete, M. (Ed.). PLoS One, 3(7), e2789.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0002789.
Milbrandt, E.B., Kersten, A., Rahim, M.T., Dremsizov, T.T., Clermont, G., Cooper, L.M., Angus, D.C., & Linde-Zwirble, W.T. (2008). Growth of intensive care unit resource use and its estimated cost in Medicare. Crit Care Med, 36(9), 2504-2510.Wolters Kluwer. doi: 10.1097/CCM.0b013e318183ef84.
An, G., Hunt, C.A., Clermont, G., Neugebauer, E., & Vodovotz, Y. (2007). Challenges and rewards on the road to translational systems biology in acute illness: four case reports from interdisciplinary teams. J Crit Care, 22(2), 169-175.Elsevier. doi: 10.1016/j.jcrc.2006.12.011.
Clermont, G. (2007). Modeling longitudinal data in acute illness. Crit Care, 11(4), 152.Springer Nature. doi: 10.1186/cc5968.
Clermont, G., Vodovotz, Y., & Rubin, J. (2007). Equation-Based Models of Dynamic Biological Systems. In Endothelial Biomedicine. (pp. 1780-1785).Cambridge University Press (CUP). doi: 10.1017/cbo9780511546198.192.
Daun, S., & Clermont, G. (2007). In Silico Modeling in Infectious Disease. Drug Discov Today Dis Models, 4(3), 117-122.Elsevier. doi: 10.1016/j.ddmod.2007.09.001.
Hancioglu, B., Swigon, D., & Clermont, G. (2007). A dynamical model of human immune response to influenza A virus infection. J Theor Biol, 246(1), 70-86.Elsevier. doi: 10.1016/j.jtbi.2006.12.015.
Hotchkiss, J.R., Sanders, M.H., Clermont, G., & Crooke, P.S. (2007). Preventing "bored-lung disease" when treating patients with ventilatory failure. Crit Care Med, 35(7), 1797-1799.Wolters Kluwer. doi: 10.1097/01.CCM.0000269360.74281.1D.
Huang, D.T., Clermont, G., Dremsizov, T.T., Angus, D.C., & ProCESS Investigators. (2007). Implementation of early goal-directed therapy for severe sepsis and septic shock: A decision analysis. Crit Care Med, 35(9), 2090-2100.Wolters Kluwer. doi: 10.1097/01.ccm.0000281636.82971.92.
Huang, D.T., Clermont, G., Sexton, J.B., Karlo, C.A., Miller, R.G., Weissfeld, L.A., Rowan, K.M., & Angus, D.C. (2007). Perceptions of safety culture vary across the intensive care units of a single institution. Crit Care Med, 35(1), 165-176.Wolters Kluwer. doi: 10.1097/01.CCM.0000251505.76026.CF.
Mi, Q., Rivière, B., Clermont, G., Steed, D.L., & Vodovotz, Y. (2007). Agent-based model of inflammation and wound healing: insights into diabetic foot ulcer pathology and the role of transforming growth factor-beta1. Wound Repair Regen, 15(5), 671-682.Wiley. doi: 10.1111/j.1524-475X.2007.00271.x.
Papachristou, G.I., Clermont, G., Sharma, A., Yadav, D., & Whitcomb, D.C. (2007). Risk and markers of severe acute pancreatitis. Gastroenterol Clin North Am, 36(2), 277-viii.Elsevier. doi: 10.1016/j.gtc.2007.03.003.
Upperman, J.S., Camerini, V., Lugo, B., Yotov, I., Sullivan, J., Rubin, J., Clermont, G., Zamora, R., Ermentrout, G.B., Ford, H.R., & Vodovotz, Y. (2007). Mathematical modeling in necrotizing enterocolitis--a new look at an ongoing problem. J Pediatr Surg, 42(3), 445-453.Elsevier. doi: 10.1016/j.jpedsurg.2006.10.053.
Vodovotz, Y., Clermont, G., Hunt, C.A., Lefering, R., Bartels, J., Seydel, R., Hotchkiss, J., Ta'asan, S., Neugebauer, E., & An, G. (2007). Evidence-based modeling of critical illness: an initial consensus from the Society for Complexity in Acute Illness. J Crit Care, 22(1), 77-84.Elsevier. doi: 10.1016/j.jcrc.2006.12.001.
Zenker, S., Clermont, G., & Pinsky, M.R. (2007). Using Mathematical Models to Improve the Utility of Quantitative ICU Data. In Intensive Care Medicine, Vincent, J.L. (Ed.). (pp. 479-492).Springer Nature. doi: 10.1007/978-0-387-49518-7_43.
Zenker, S., Polanco, P.M., Kim, H.K., Torres, A., Vodovotz, Y., Clermont, G., Pinsky, M.R., Severyn, D.A., & Puyana, J.C. (2007). Thresholded area over the curve of spectrometric tissue oxygen saturation as an indicator of volume resuscitability in porcine hemorrhagic shock. J Trauma, 63(3), 573-578.Wolters Kluwer. doi: 10.1097/TA.0b013e31812f6095.
Zenker, S., Rubin, J., & Clermont, G. (2007). From inverse problems in mathematical physiology to quantitative differential diagnoses. In Tucker-Kellogg, G. (Ed.). PLoS Comput Biol, 3(11), e204.Public Library of Science (PLoS). doi: 10.1371/journal.pcbi.0030204.
Angus, D.C., Clermont, G., Linde-Zwirble, W.T., Musthafa, A.A., Dremsizov, T.T., Lidicker, J., Lave, J.R., & NO-06 Investigators. (2006). Healthcare costs and long-term outcomes after acute respiratory distress syndrome: A phase III trial of inhaled nitric oxide. Crit Care Med, 34(12), 2883-2890.Wolters Kluwer. doi: 10.1097/01.CCM.0000248727.29055.25.
Clermont, G. (2006). Toward a framework for evidence-based modeling. JOURNAL OF CRITICAL CARE, 21(1), 110-111.Elsevier. doi: 10.1016/j.jcrc.2005.12.010.
Day, J., Rubin, J., Vodovotz, Y., Chow, C.C., Reynolds, A., & Clermont, G. (2006). A reduced mathematical model of the acute inflammatory response II. Capturing scenarios of repeated endotoxin administration. J Theor Biol, 242(1), 237-256.Elsevier. doi: 10.1016/j.jtbi.2006.02.015.
Dremsizov, T., Clermont, G., Kellum, J.A., Kalassian, K.G., Fine, M.J., & Angus, D.C. (2006). Severe sepsis in community-acquired pneumonia: when does it happen, and do systemic inflammatory response syndrome criteria help predict course?. Chest, 129(4), 968-978.Elsevier. doi: 10.1378/chest.129.4.968.
Galhotra, S., Scholle, C.C., Dew, M.A., Mininni, N.C., Clermont, G., & DeVita, M.A. (2006). Medical emergency teams: a strategy for improving patient care and nursing work environments. J Adv Nurs, 55(2), 180-187.Wiley. doi: 10.1111/j.1365-2648.2006.03901.x.
Hoste, E.A.J., Clermont, G., Kersten, A., Venkataraman, R., Angus, D.C., De Bacquer, D., & Kellum, J.A. (2006). RIFLE criteria for acute kidney injury are associated with hospital mortality in critically ill patients: a cohort analysis. Crit Care, 10(3), R73.Springer Nature. doi: 10.1186/cc4915.
Lagoa, C.E., Bartels, J., Baratt, A., Tseng, G., Clermont, G., Fink, M.P., Billiar, T.R., & Vodovotz, Y. (2006). The role of initial trauma in the host's response to injury and hemorrhage: insights from a correlation of mathematical simulations and hepatic transcriptomic analysis. Shock, 26(6), 592-600.Wolters Kluwer. doi: 10.1097/01.shk.0000232272.03602.0a.
Milbrandt, E.B., Clermont, G., Martinez, J., Kersten, A., Rahim, M.T., & Angus, D.C. (2006). Predicting late anemia in critical illness. Crit Care, 10(1), R39.Springer Nature. doi: 10.1186/cc4847.
Prince, J.M., Levy, R.M., Bartels, J., Baratt, A., Kane, J.M., Lagoa, C., Rubin, J., Day, J., Wei, J., Fink, M.P., Goyert, S.M., Clermont, G., Billiar, T.R., & Vodovotz, Y. (2006). In silico and in vivo approach to elucidate the inflammatory complexity of CD14-deficient mice. Mol Med, 12(4-6), 88-96.Springer Nature. doi: 10.2119/2006-00012.Prince.
Reynolds, A., Rubin, J., Clermont, G., Day, J., Vodovotz, Y., & Bard Ermentrout, G. (2006). A reduced mathematical model of the acute inflammatory response: I. Derivation of model and analysis of anti-inflammation. J Theor Biol, 242(1), 220-236.Elsevier. doi: 10.1016/j.jtbi.2006.02.016.
Vodovotz, Y., Chow, C.C., Bartels, J., Lagoa, C., Prince, J.M., Levy, R.M., Kumar, R., Day, J., Rubin, J., Constantine, G., Billiar, T.R., Fink, M.P., & Clermont, G. (2006). In silico models of acute inflammation in animals. Shock, 26(3), 235-244.Wolters Kluwer. doi: 10.1097/01.shk.0000225413.13866.fo.
Al-Nakeeb, S., & Clermont, G. (2005). Procalcitonin testing has the potential to reduce unnecessary antibiotic use in patients with suspected lower respiratory tract infections. CRITICAL CARE, 9(3), e5.Springer Nature. doi: 10.1186/cc3496.
Chow, C.C., Clermont, G., Kumar, R., Lagoa, C., Tawadrous, Z., Gallo, D., Betten, B., Bartels, J., Constantine, G., Fink, M.P., Billiar, T.R., & Vodovotz, Y. (2005). The acute inflammatory response in diverse shock states. Shock, 24(1), 74-84.Wolters Kluwer. doi: 10.1097/01.shk.0000168526.97716.f3.
Clermont, G. (2005). Artificial neural networks as prediction tools in the critically ill. Crit Care, 9(2), 153-154.Springer Nature. doi: 10.1186/cc3507.
Clermont, G., & Neugebauer, E.A.M. (2005). Systems biology and translational research. J Crit Care, 20(4), 381-382.Elsevier. doi: 10.1016/j.jcrc.2005.09.015.
Milbrandt, E.B., Kersten, A., Kong, L., Weissfeld, L.A., Clermont, G., Fink, M.P., & Angus, D.C. (2005). Haloperidol use is associated with lower hospital mortality in mechanically ventilated patients. Crit Care Med, 33(1), 226-229.Wolters Kluwer. doi: 10.1097/01.ccm.0000150743.16005.9a.
Whitcomb, D.C., Aoun, E., Vodovotz, Y., Clermont, G., & Barmada, M.M. (2005). Evaluating disorders with a complex genetics basis. the future roles of meta-analysis and systems biology. Dig Dis Sci, 50(12), 2195-2202.Springer Nature. doi: 10.1007/s10620-005-3033-7.
Angus, D.C., Clermont, G., Watson, R.S., & Linde-Zwirble, W.T. (2004). Inhaled nitric oxide and the societal perspective - Reply. PEDIATRICS, 113(6), 1851.
Baue, A.E. (2004). Let's be splitters, rather than "lumpers". Crit Care Med, 32(6), 1440.Wolters Kluwer. doi: 10.1097/01.ccm.0000124853.82106.31.
Clermont, G., Bartels, J., Kumar, R., Constantine, G., Vodovotz, Y., & Chow, C. (2004). In silico design of clinical trials: a method coming of age. Crit Care Med, 32(10), 2061-2070.Wolters Kluwer. doi: 10.1097/01.ccm.0000142394.28791.c3.
Clermont, G., Kaplan, V., Moreno, R., Vincent, J.L., Linde-Zwirble, W.T., Hout, B.V., & Angus, D.C. (2004). Dynamic microsimulation to model multiple outcomes in cohorts of critically ill patients. Intensive Care Med, 30(12), 2237-2244.Springer Nature. doi: 10.1007/s00134-004-2456-5.
Hansen, T.W.R. (2004). Inhaled nitric oxide and the societal perspective. Pediatrics, 113(6), 1849-1851.American Academy of Pediatrics (AAP). doi: 10.1542/peds.113.6.1849.
Kasal, J., Jovanovic, Z., Clermont, G., Weissfeld, L.A., Kaplan, V., Watson, R.S., & Angus, D.C. (2004). Comparison of Cox and Gray's survival models in severe sepsis. Crit Care Med, 32(3), 700-707.Wolters Kluwer. doi: 10.1097/01.ccm.0000114819.37569.4b.
Kumar, R., Clermont, G., Vodovotz, Y., & Chow, C.C. (2004). The dynamics of acute inflammation. J Theor Biol, 230(2), 145-155.Elsevier. doi: 10.1016/j.jtbi.2004.04.044.
Laterre, P.F., Levy, H., Clermont, G., Ball, D.E., Garg, R., Nelson, D.R., Dhainaut, J.F., & Angus, D.C. (2004). Hospital mortality and resource use in subgroups of the Recombinant Human Activated Protein C Worldwide Evaluation in Severe Sepsis (PROWESS) trial. Crit Care Med, 32(11), 2207-2218.Wolters Kluwer. doi: 10.1097/01.ccm.0000145231.71605.d8.
Vodovotz, Y., Clermont, G., Chow, C., & An, G. (2004). Mathematical models of the acute inflammatory response. Curr Opin Crit Care, 10(5), 383-390.Wolters Kluwer. doi: 10.1097/01.ccx.0000139360.30327.69.
Angus, D.C., Clermont, G., Watson, R.S., Linde-Zwirble, W.T., Clark, R.H., & Roberts, M.S. (2003). Cost-effectiveness of inhaled nitric oxide in the treatment of neonatal respiratory failure in the United States. Pediatrics, 112(6 Pt 1), 1351-1360.American Academy of Pediatrics (AAP). doi: 10.1542/peds.112.6.1351.
Angus, D.C., Clermont, G., Watson, R.S., Linde-Zwirble, W.T., Clark, R.H., & Roberts, M.S. (2003). Cost-effectiveness of inhaled nitric oxide in the treatment of neonatal respiratory failure in the United States. PEDIATRICS, 112(6), 1351-1360.American Academy of Pediatrics (AAP). doi: 10.1542/peds.112.6.1351.
Angus, D.C., Linde-Zwirble, W.T., Clermont, G., Ball, D.E., Basson, B.R., Ely, E.W., Laterre, P.F., Vincent, J.L., Bernard, G., van Hout, B., & PROWESS Investigators. (2003). Cost-effectiveness of drotrecogin alfa (activated) in the treatment of severe sepsis. Crit Care Med, 31(1), 1-11.Wolters Kluwer. doi: 10.1097/00003246-200301000-00001.
Clermont, G., Angus, D.C., Kalassian, K.G., Linde-Zwirble, W.T., Ramakrishnan, N., Linden, P.K., & Pinsky, M.R. (2003). Reassessing the value of short-term mortality in sepsis: comparing conventional approaches to modeling. Crit Care Med, 31(11), 2627-2633.Wolters Kluwer. doi: 10.1097/01.CCM.0000094233.35059.81.
Kaplan, V., Clermont, G., Griffin, M.F., Kasal, J., Watson, R.S., Linde-Zwirble, W.T., & Angus, D.C. (2003). Pneumonia: still the old man's friend?. Arch Intern Med, 163(3), 317-323.American Medical Association (AMA). doi: 10.1001/archinte.163.3.317.
Watson, R.S., Carcillo, J.A., Linde-Zwirble, W.T., Clermont, G., Lidicker, J., & Angus, D.C. (2003). The epidemiology of severe sepsis in children in the United States. Am J Respir Crit Care Med, 167(5), 695-701.American Thoracic Society. doi: 10.1164/rccm.200207-682OC.
Angus, D.C., Marrie, T.J., Obrosky, D.S., Clermont, G., Dremsizov, T.T., Coley, C., Fine, M.J., Singer, D.E., & Kapoor, W.N. (2002). Severe community-acquired pneumonia: use of intensive care services and evaluation of American and British Thoracic Society Diagnostic criteria. Am J Respir Crit Care Med, 166(5), 717-723.American Thoracic Society. doi: 10.1164/rccm.2102084.
Clermont, G., Acker, C.G., Angus, D.C., Sirio, C.A., Pinsky, M.R., & Johnson, J.P. (2002). Renal failure in the ICU: comparison of the impact of acute renal failure and end-stage renal disease on ICU outcomes. Kidney Int, 62(3), 986-996.Elsevier. doi: 10.1046/j.1523-1755.2002.00509.x.
Clermont, G., Angus, D.C., Linde-Zwirble, W.T., Griffin, M.F., Fine, M.J., & Pinsky, M.R. (2002). Does acute organ dysfunction predict patient-centered outcomes?. Chest, 121(6), 1963-1971.Elsevier. doi: 10.1378/chest.121.6.1963.
Kaplan, V., Angus, D.C., Griffin, M.F., Clermont, G., Scott Watson, R., & Linde-Zwirble, W.T. (2002). Hospitalized community-acquired pneumonia in the elderly: age- and sex-related patterns of care and outcome in the United States. Am J Respir Crit Care Med, 165(6), 766-772.American Thoracic Society. doi: 10.1164/ajrccm.165.6.2103038.
Kaplan, V., Angus, D.C., Griffin, M.F., Clermont, G., Watson, R.S., & Linde-Zwirble, W.T. (2002). Hospitalized community-acquired pneumonia in the elderly - Age- and sex-related patterns of care and outcome in the united states. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 165(6), 766-772. doi: 10.1164/ajrccm.165.6.2103038.
Angus, D.C., Linde-Zwirble, W.T., Clermont, G., Griffin, M.F., & Clark, R.H. (2001). Epidemiology of neonatal respiratory failure in the United States: projections from California and New York. Am J Respir Crit Care Med, 164(7), 1154-1160.American Thoracic Society. doi: 10.1164/ajrccm.164.7.2012126.
Angus, D.C., Linde-Zwirble, W.T., Lidicker, J., Clermont, G., Carcillo, J., & Pinsky, M.R. (2001). Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care. Crit Care Med, 29(7), 1303-1310.Wolters Kluwer. doi: 10.1097/00003246-200107000-00002.
Angus, D.C., Musthafa, A.A., Clermont, G., Griffin, M.F., Linde-Zwirble, W.T., Dremsizov, T.T., & Pinsky, M.R. (2001). Quality-adjusted survival in the first year after the acute respiratory distress syndrome. Am J Respir Crit Care Med, 163(6), 1389-1394.American Thoracic Society. doi: 10.1164/ajrccm.163.6.2005123.
Clermont, G., Angus, D.C., DiRusso, S.M., Griffin, M., & Linde-Zwirble, W.T. (2001). Predicting hospital mortality for patients in the intensive care unit: a comparison of artificial neural networks with logistic regression models. Crit Care Med, 29(2), 291-296.Wolters Kluwer. doi: 10.1097/00003246-200102000-00012.
Angus, D.C., Clermont, G., Kramer, D.J., Linde-Zwirble, W.T., & Pinsky, M.R. (2000). Short-term and long-term outcome prediction with the Acute Physiology and Chronic Health Evaluation II system after orthotopic liver transplantation. Crit Care Med, 28(1), 150-156.Wolters Kluwer. doi: 10.1097/00003246-200001000-00025.
Kayaalp, M., Cooper, G.F., & Clermont, G. (2000). Predicting ICU mortality: a comparison of stationary and nonstationary temporal models. Proc AMIA Symp, 418-422.
Linde-Zwirble, W.T., Angus, D.C., Carcillo, J., Lidicker, J., Clermont, G., & Pinsky, M.R. (1999). AGE-SPECIFIC INCIDENCE AND OUTCOME OF SEPSIS IN THE US. Critical Care Medicine, 27(Supplement), 33a.Wolters Kluwer. doi: 10.1097/00003246-199901001-00023.
Musthafa, A.A., Angus, D.C., Linde-Zwirble, W.T., Clermont, G., Griffin, M., & Pimsky, M.R. (1999). The first year after ARDS: Results of a multi-center study. Critical Care Medicine, 27(1 SUPPL.).
Clermont, G., & Angus, D.C. (1998). Severity scoring systems in the modern intensive care unit. Ann Acad Med Singap, 27(3), 397-403.
Clermont, G., Angus, D.C., Linde-Zwirble, W.T., Griffin, M., Ramakrishnan, N., & Fine, M.J. (1998). Acute organ dysfunction is not a proxy for long-term morbidity. Chest, 114(4 SUPPL.).
Clermont, G., Angus, D.C., Linde-Zwirble, W.T., Lave, J.R., & Pinsky, M.R. (1998). Measuring resource use in the ICU with computerized therapeutic intervention scoring system-based data. Chest, 113(2), 434-442.Elsevier. doi: 10.1378/chest.113.2.434.
Angus, D.C., Sirio, C.A., Clermont, G., & Bion, J. (1997). International comparisons of critical care outcome and resource consumption. Crit Care Clin, 13(2), 389-407.Elsevier. doi: 10.1016/s0749-0704(05)70317-1.
Angus, D.C., Linde-Zwirble, W.T., Clermont, G., & Newbold, R.C. (1996). ARDS: Where do all the dollars go?. Chest, 110(4 SUPPL.).
Clermont, G., Linde-Zwirble, W.T., Angus, D.C., & Newbold, R.C. (1996). The "ICU-day"-a legitimate marker of resource use in ards?. Chest, 110(4 SUPPL.).
Linde-Zwirble, W.T., Angus, D.C., Chen, J., Clermont, G., Newbold, R., & Pinsky, M.R. (1996). How should we measure the performance of mortality models?. Chest, 110(4 SUPPL.).
Malakouti, S., Clermont, G., & Hauskrecht, M. (2023). Widespread adoption of AI risk models for maternal hemorrhage requires mitigation of bias. In AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 228(1), (pp. S388-S389).
Rooney, S., Hravnak, M., Al-Zaiti, S., & Clermont, G. (2023). RACIAL DIFFERENCES IN COMMERCIAL MONITORING SOFTWARE DETECTION OF ATRIAL FIBRILLATION. In CRITICAL CARE MEDICINE, 51(1), (p. 85).
Wilson, T., Clermont, G., & Hochheiser, H. (2023). REINFORCEMENT LEARNING-BASED BLOOD PRODUCT RESUSCITATION IN GASTROINTESTINAL BLEEDING. In CRITICAL CARE MEDICINE, 51(1), (p. 579).
Helman, S., Terry, M.A., Hravnak, M., Tiffany, P., George, B., Pinsky, M., Al-Zaiti, S., & Clermont, G. (2022). USER-ENGAGED DESIGN OF A GRAPHICAL USER INTERFACE FOR INSTABILITY DECISION SUPPORT IN THE ICU. In CRITICAL CARE MEDICINE, 50(1), (p. 269).
Hravnak, M., Clermont, G., Helman, S., Pellathy, T., Lagattuta, T., Saul, M., George, B., Pinsky, M., & Al-Zaiti, S. (2022). MEDICAL EMERGENCY TEAM CALLS TO WARD PATIENTS AFTER DOWN-TRANSFER FROM AN ICU. In CRITICAL CARE MEDICINE, 50(1), (p. 617).
Rakkar, J., Pelletier, J., Simon, D., Au, A., Kochanek, P., Clermont, G., Clark, R., & Horvat, C. (2022). IDENTIFYING CAUSAL RELATIONSHIPS BETWEEN ICP AND INTENSITY OF MEDICAL THERAPIES IN PEDIATRIC TBI. In CRITICAL CARE MEDICINE, 50(1), (p. 412).
Yoon, J., Gao, C., Kim, J., Kim, J., Lagattuta, T., Helman, S., Hravnak, M., Pinsky, M.R., & Clermont, G. (2022). Prediction of Hypovolemic Instability in Normal Volunteer Blood Donors Using Machine Learning. In AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 205.
Gao, C., Dubrawski, A., Pinsky, M.R., Clermont, G., & Yoon, J. (2021). Identification and Explanation of Severity of Bleeding-Induced Hypovolemia Using Unsupervised Deep Learning. In AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 203(9).
Rakkar, J., Pelletier, J., Simon, D., Kochanek, P., Horvat, C., Clermont, G., & Clark, R. (2021). ADJUNCTIVE DECOMPRESSIVE CRANIECTOMY DECREASES MORTALITY IN PEDIATRIC TRAUMATIC BRAIN INJURY. In CRITICAL CARE MEDICINE, 49(1), (p. 354).
Aldewereld, Z., Carcillo, J., Parker, R., Canna, S., & Clermont, G. (2020). COMPUTATIONAL MODELING OF SEPSIS-ASSOCIATED MACROPHAGE ACTIVATION SYNDROME. In CRITICAL CARE MEDICINE, 48.
Caldas, S., Jeanselme, V., Clermont, G., Pinsky, M.R., & Dubrawski, A. (2020). A Case for Federated Learning: Enabling and Leveraging Inter-Hospital Collaboration. In AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 201.
Fitzmaurice, K.P., Pressly, M.A., Clermont, G., Waters, J.H., & Parker, R.S. (2020). Dynamic Modelling of Obstetric Patient Coagulation from Kaolin-Activated Thromboelastogram Data ⁎ ⁎ Financial support for this work is provided by the National Science Foundation’s TECBio REU program (DBI-1659611), the U.S. Department of Education GAANN fellowship program (P200A150050), and the National Institutes of Health, National Heart, Lung and Blood Institute (R21-HL-133891). In IFAC-PapersOnLine, 53(2), (pp. 16329-16334).Elsevier. doi: 10.1016/j.ifacol.2020.12.656.
Jeanselme, V., Wertz, A., Clermont, G., Pinsky, M.R., & Dubrawski, A. (2020). Robustness of Machine Learning Models for Hemorrhage Detection. In AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 201.
Rakkar, J., Wolf, M., Simon, D., Kochanek, P., Clermont, G., Clark, R., & Horvat, C. (2020). ELECTRONIC PEDIATRIC INTENSITY LEVEL OF THERAPY SCORE TO PREDICT MORTALITY IN ICP-MONITORED PATIENTS. In CRITICAL CARE MEDICINE, 48.
Wolf, M., Rakkar, J., Horvat, C., Simon, D., Kochanek, P., Clermont, G., & Clark, R. (2020). DYNAMIC ASSESSMENT OF INTRACRANIAL COMPLIANCE IN PEDIATRIC TRAUMATIC BRAIN INJURY: PROOF OF CONCEPT. In CRITICAL CARE MEDICINE, 48.
Brant, E., Kennedy, J.N., Chang, C.H., Clermont, G., Martin-Gill, C., Callaway, C.W., Yealy, D., Gomez, H., Huang, D.T., Kellum, J.A., Seymour, C.W., & Angus, D.C. (2019). Prehospital Characteristics of Clinical Sepsis Phenotypes Identified at Emergency Department Presentation. In AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 199, (p. a7171).American Thoracic Society. doi: 10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a7171.
Chen, L., Dubrawski, A., Clermont, G., Pellathy, T., Wertz, A., Yoon, J.H., Pinsky, M., & Hravnak, M. (2019). BINARIZED SEVERITY LEVEL OF FUTURE INSTABILITY RISK IN CONTINUOUSLY MONITORED PATIENTS. In CRITICAL CARE MEDICINE, 47.
Pellathy, T., Chen, L., Clermont, G., Dubrawski, A., Pinsky, M., & Hravnak, M. (2019). IDENTIFYING TIME INTERVAL FEATURES PREDICTIVE OF HOSPITAL-ACQUIRED VENOUS THROMBOEMBOLISM. In CRITICAL CARE MEDICINE, 47.
Xie, Y., Yabes, J., & Clermont, G. (2019). STATISTICAL MODEL SELECTION FOR PREDICTING SEPSIS MORTALITY. In CRITICAL CARE MEDICINE, 47.
Cala, M.P., Clermont, G., Maclin, J.T., & Parker, R.S. (2018). Modeling Fluid Volume and Serum Creatinine Dynamics During Acute Kidney Injury and Edema. In JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS, 45, (p. S79).
Parker, R.S., Knab, T.D., & Clermont, G. (2018). The Impact of a Responsive Endogenous Pancreas in Critical Care Glucose Control*This work was supported by the Department of Education through the GAANN program (P200A120195) and by the National Institutes of Health through award DK-92813. In 2018 Annual American Control Conference (ACC), 00, (pp. 3595-3601).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.23919/acc.2018.8431668.
Pellathy, T., Chen, L., Dubrawski, A., Clermont, G., Pinsky, M., & Hravnak, M. (2018). Prevalence of Venous Thromboembolism (VTE) in an Adult Step-Down Unit Population: A Proof-of-Concept Feasibility Study for Machine Learning Predictive Model Development. In NURSING RESEARCH, 67(2), (p. E130).
Pellathy, T., Saul, M., Clermont, G., Nagpal, C., Dubrawski, A., Pinsky, M., & Hravnak, M. (2018). ACCURACY OF IDENTIFYING VENOUS THROMBOEMBOLISM BY ADMINISTRATIVE CODING COMPARED TO MANUAL REVIEW. In CRITICAL CARE MEDICINE, 46(1), (p. 85).Wolters Kluwer. doi: 10.1097/01.ccm.0000528224.97123.e0.
Pressly, M.A., Neal, M.D., Parker, R.S., & Clermont, G. (2018). PROJECTING PATIENT CLOTTING ISSUES VIA THROMBOELASTOGRAM WITHIN FIVE MINUTES. In SHOCK, 49(6), (pp. 114-115).
Seymour, C.W., Kennedy, J., Wang, S., Xu, Z., Chang, C.H., Mi, Q., Vodovotz, Y., Clermont, G., Visweswaran, S., Weiss, J.C., Cooper, G., Gomez, H., Kellum, J.A., & Angus, D.C. (2018). Feasibility of Sepsis Phenotyping Using Electronic Health Record Data During Initial Emergency Department Care. In AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 197.
Wertz, A., Hravnak, M., Dubrawski, A., Chen, L., Pellathy, T., Clermont, G., & Pinsky, M. (2018). SUFFICIENT SAMPLING FREQUENCY FOR MACHINE LEARNING TO SEPARATE MONITORING ARTIFACT FROM INSTABILITY. In CRITICAL CARE MEDICINE, 46(1), (p. 19).Wolters Kluwer. doi: 10.1097/01.ccm.0000528093.59059.9e.
Xie, Y., Yabes, J., Parker, R., & Clermont, G. (2018). USING CLINICAL FEATURES AND BIOMARKERS TO PREDICT 60-DAY MORTALITY OF SEPSIS PATIENTS. In CRITICAL CARE MEDICINE, 46(1), (p. 726).Wolters Kluwer. doi: 10.1097/01.ccm.0000529487.11010.78.
Yoon, J., Jeanselme, V., Chen, Y., Dubrawski, A., Hravnak, M., Pinsky, M., & Clermont, G. (2018). Prediction for Hypotension Episode with Multigranular Data in the Intensive Care Unit. In AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 197.
Keef, E., Zhang, L.A., Swigon, D., Urbano, A., Ermentrout, G.B., Matuszewski, M., Toapanta, F.R., Ross, T.M., Parker, R.S., & Clermont, G. (2017). Discrete Dynamical Modeling of Influenza Virus Infection Suggests Age-Dependent Differences in Immunity. In García-Sastre, A. (Ed.). In J Virol, 91(23), (pp. 10.1128/jvi.00395-10.1128/jvi.00317).American Society for Microbiology.United States. doi: 10.1128/JVI.00395-17.
Nagpal, C., Miller, K., Pellathy, T., Hravnak, M., Clermont, G., Pinsky, M., & Dubrawski, A. (2017). Semi-Supervised Prediction of Comorbid Rare Conditions Using Medical Claims Data. In 2017 IEEE International Conference on Data Mining Workshops (ICDMW), 2017-November, (pp. 478-485).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/icdmw.2017.68.
Yoon, J., Mu, L., Chen, L., Dubrawski, A.W., Hravnak, M., Pinsky, M.R., & Clermont, G. (2017). Data-Driven Prediction And Risk Score Model For Tachycardia Event In The Intensive Care Unit. In AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 195.
King, A.J., Cooper, G.F., Hochheiser, H., Clermont, G., & Visweswaran, S. (2015). Development and Preliminary Evaluation of a Prototype of a Learning Electronic Medical Record System. In AMIA Annu Symp Proc, 2015, (pp. 1967-1975).United States.
Knab, T., Clermont, G., & Parker, R.S. (2015). Glucose control in the intensive care unit: Controller design and alarm layer performance evaluation in silico. In Computing and Systems Technology Division 2015 - Core Programming Area at the 2015 AIChE Annual Meeting, 2, (pp. 510-513).
Knab, T.D., Clermont, G., & Parker, R.S. (2015). Zone Model Predictive Control and Moving Horizon Estimation for the Regulation of Blood Glucose in Critical Care Patients. In IFAC-PapersOnLine, 48(8), (pp. 1002-1007).Elsevier. doi: 10.1016/j.ifacol.2015.09.099.
Zhang, L.A., Banerjee, I., Swigon, D., Parker, R., Bahrami, S., Redl, H., & Clermont, G. (2015). USING VITALS AND A SINGLE BLOOD BIOMARKER TO PREDICT DISEASE TIME ZERO IN ANIMAL MODELS OF SEPSIS. In CRITICAL CARE MEDICINE, 43(12).
Zhu, L., Clermont, G., Zhang, L.A., Mochan-Keef, E., Parker, R., Swigon, D., & Pike, F. (2015). USING BIOMARKERS TO ENHANCE 60-DAY IN HOSPITAL MORTALITY PREDICTION FOR EARLY SEPSIS PATIENT. In CRITICAL CARE MEDICINE, 43(12).
Bose, E., Hravnak, M., & Clermont, G. (2014). VECTOR AUTO-REGRESSIVE (VAR) MODEL FOR EXPLORING CAUSAL DYNAMICS OF CARDIORESPIRATORY INSTABILITY. In CRITICAL CARE MEDICINE, 42(12).
Chen, L., Dubrawski, A., Hravnak, M., Clermont, G., & Pinsky, M. (2014). FORECASTING CARDIO-RESPIRATORY INSTABILITY IN MONITORED PATIENTS: A MACHINE LEARNING APPROACH. In CRITICAL CARE MEDICINE, 42(12).
Dubrawski, A., Chen, L., Liu, F., Clermont, G., & Pinsky, M.R. (2014). PRE-OPERATIVE PROGNOSIS OF PREDISPOSITION FOR BLEEDING-INDUCED CRASH. In INTENSIVE CARE MEDICINE, 40, (p. S288).
Fiterau, M., Dubrawski, A., Chen, L., Hravnak, M., Pinsky, M.R., & Clermont, G. (2014). ARTIFACT ADJUDICATION FOR VITAL SIGN STEP-DOWN UNIT DATA CAN BE IMPROVED USING ACTIVE LEARNING WITH LOW-DIMENSIONAL MODELS. In INTENSIVE CARE MEDICINE, 40, (pp. S289-S290).
Fiterau, M., Dubrawski, A., Hravnak, M., Chen, L., Pinsky, M., Clermont, G., & Bose, E. (2014). ARCHETYPING ARTIFACTS IN MONITORED NONINVASIVE VITAL SIGNS DATA. In CRITICAL CARE MEDICINE, 42(12).
Guillame-Bert, M., Dubrawski, A., Chen, L., Holder, A., Pinsky, M.R., & Clermont, G. (2014). UTILITY OF EMPIRICAL MODELS OF HEMORRHAGE IN DETECTING AND QUANTIFYING BLEEDING. In INTENSIVE CARE MEDICINE, 40, (p. S287).
Hravnak, M., Chen, L., Dubrawski, A., Clermont, G., Bose, E., Fiterau, M., Wang, D., Guillame-Bert, M., & Pinsky, M.R. (2014). SUPERVISED MACHINE LEARNING CAN CLASSIFY ARTIFACT IN MULTI-SIGNAL VITAL SIGN MONITORING DATA EROM STEP-DOWN UNIT (SDU) PATIENTS. In INTENSIVE CARE MEDICINE, 40, (p. S28).
Hravnak, M., Chen, L., Dubrawski, A., Wang, D., Bose, E., Clermont, G., & Pinsky, M. (2014). RANDOM FOREST MODELS SEPARATE VITAL SIGN EVENTS AS REAL OR ARTIFACT IN CONTINUOUS MONITORING DATA. In CRITICAL CARE MEDICINE, 42(12).
Hravnak, M., Chen, L., Fiterau, M., Dubrawski, A., Clermont, G., Guillame-Bert, M., Bose, E., & Pinsky, M.R. (2014). Active Machine Learning To Increase Annotation Efficiency In Classifying Vital Sign Events As Artifact Or Real Alerts In Continuous Noninvasive Monitoring. In AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 189.
Jolley, S., Clermont, G., Angus, D.C., & Hough, C.L. (2014). Race Is Associated With Mobility Impairment At Six And Twelve Months In Survivors Of Acute Respiratory Distress Syndrome. In AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 189.
Malkin, A.D., Sheehan, R., Redl, H., & Clermont, G. (2014). A neutrophil phenotype model for extracorporeal treatment of sepsis. In F1000 Research.F1000 Research Ltd..Brussels, Belgium.
Palmer, O.M.P., Rogers, G.L., Clermont, G., & Langston, M. (2014). COMBINATORIAL NETWORK ANALYSIS REVEALS NOVEL RACE SPECIFIC MOLECULAR ACTIVATION IN THE SETTING OF COMMUNITY-ACQUIRED PNEUMONIA. In SHOCK, 41, (p. 97).
Vilkhovoy, M., Pritchard-Bell, A., Clermont, G., & Parker, R.S. (2014). A Control-Relevant Model of Subcutaneous Insulin Absorption. In IFAC-PapersOnLine, 47(3), (pp. 10988-10993).Elsevier. doi: 10.3182/20140824-6-za-1003.02360.
Wang, D., Chen, L., Fiterau, M., Dubrawski, A., Hravnak, M., Bose, E., Wallace, D., Kaynar, M., Clermont, G., & Pinsky, M. (2014). MULTI-TIER GROUND TRUTH ELICITATION FRAMEWORK WITH APPLICATION TO ARTIFACT CLASSIFICATION FOR PREDICTING PATIENT INSTABILITY. In INTENSIVE CARE MEDICINE, 40, (p. S289).
Wang, D., Fiterau, M., Dubrawski, A., Hravnak, M., Clermont, G., & Pinsky, M. (2014). INTERPRETABLE ACTIVE LEARNING IN SUPPORT OF CLINICAL DATA ANNOTATION. In CRITICAL CARE MEDICINE, 42(12).
Fiterau, M., Dubrawski, A., Chen, L., Hravnak, M., Clermont, G., & Pinsky, M. (2013). Automatic Identification of Artifacts in Monitoring Critically Ill Patients. In Intensive Care Med, 39(2), (p. S470).United States.
Hauskrecht, M., Visweswaran, S., Cooper, G.F., & Clermont, G. (2013). Conditional outlier approach for detection of unusual patient care actions. In AAAI Workshop - Technical Report, WS-13-17, (pp. 44-46).
Jolley, S.E., Parsons, E.C., O'Mahony, D.S., Caldwell, E.S., Clermont, G., Angus, D.C., & Hough, C.L. (2013). Discharge Destination As A Surrogate Marker For Mortality And Functional Status In Patients With Acute Lung Injury At Six Months Post-Icu Stay. In AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 187.
Ogundele, O., Clermont, G., Sileanu, F., & Pinsky, M.R. (2013). Use Of Derived Physiologic Variables To Predict Individual Patients' Probability Of Hemodynamic Instability. In AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 187.
Yegneswaran, B., Parker, R.S., & Clermont, G. (2013). IS AVERAGE GLUCOSE LEVELS ASSOCIATED WITH HOSPITAL MORTALITY IN LOW-RISK ICU PATIENTS?. In INTENSIVE CARE MEDICINE, 39, (pp. S362-S363).
Bountourelis, T., Eckman, D., Luangkesorn, L., Schaefer, A., Nabors, S.G., & Clermont, G. (2012). SENSITIVITY ANALYSIS OF AN ICU SIMULATION MODEL. In Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC), (pp. 1-12).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/wsc.2012.6465121.
Luangkesorn, K.L., Bountourelis, T., Schaefer, A., Nabors, S., & Clermont, G. (2012). The Case Against Utilization: Deceptive Performance Measures in In-Patient Care Capacity Models. In Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC), (pp. 1-12).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/wsc.2012.6465104.
Sen, A., Sileanu, F., Lucko, N., Murugan, R., Clermont, G., & Kellum, J. (2012). INCREASED CHLORIDE LOAD IN FLUIDS FOR LARGE VOLUME RESUSCITATION IS ASSOCIATED WITH INCREASED RISK OF ACUTE KIDNEY INJURY IN CRITICALLY ILL PATIENTS. In CRITICAL CARE MEDICINE, 40(12), (pp. U187-U188).
Sverchkov, Y., Visweswaran, S., Clermont, G., Hauskrecht, M., & Cooper, G.F. (2012). A multivariate probabilistic method for comparing two clinical datasets. In Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium, (pp. 795-800).Association for Computing Machinery (ACM). doi: 10.1145/2110363.2110460.
Bountourelis, T., Luangkesorn, L., Schaefer, A., Maillart, L., Nabors, S.G., & Clermont, G. (2011). Development and Validation of a Large Scale ICU Simulation Model with Blocking. In Proceedings of the 2011 Winter Simulation Conference (WSC), (pp. 1143-1153).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/wsc.2011.6147837.
Nabors, S.G., Bountourelis, T., Schaefer, A., Clermont, G., Luangkesorn, L., Kharoufeh, J., Maillart, L., & Yang, W. (2011). Systematic Engineering Of Acute Care Delivery: Predictability Of Intensive Care Unit Patient Throughput Using Process Modeling. In AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 183, (p. a2371).American Thoracic Society. doi: 10.1164/ajrccm-conference.2011.183.1_meetingabstracts.a2371.
Song, S.O., Hogg, J.S., Parker, R.S., & Clermont, G. (2011). A compartmentalized sepsis model based on neutrophil kinetics as a decision supporting tool of therapeutic intervention. AIChE Annual Meeting.Minneapolis, MN.
Gomez, H., Mesquida, J., Hermus, L., Polanco, P., Zenker, S., Namas, R., Clermont, G., Vodovotz, Y., Puyana, J., & Pinsky, M. (2010). VASODILATION AND MEASURES OF CELLULAR ENERGY FAILURE PRECEDE CARDIOVASCULAR COLLAPSE AFTER HEMORRHAGIC SHOCK. In CRITICAL CARE MEDICINE, 38(12), (p. U33).
Hauskrecht, M., Valko, M., Batal, I., Clermont, G., Visweswaran, S., & Cooper, G.F. (2010). Conditional outlier detection for clinical alerting. In AMIA Annu Symp Proc, 2010, (pp. 286-290).United States.
Hogg, J.S., Clermont, G., & Parker, R.S. (2010). Acute Inflammation Treatment via Particle Filter State Estimation and MPC. In IFAC-PapersOnLine, 43(5), (pp. 272-277).Elsevier. doi: 10.3182/20100705-3-be-2011.00045.
Peng, Z., Bishop, J., Wen, X., Clermont, G., & Kellum, J. (2010). MODULATION OF CHEMOKINE GRADIENTS IMPROVES LEUKOCYTE TRAFFICKING IN DIFFERENT COMPARTMENTS DURING SEPSIS. In CRITICAL CARE MEDICINE, 38(12), (p. U51).
Visweswaran, S., Mezger, J., Clermont, G., Hauskrecht, M., & Cooper, G.F. (2010). Identifying Deviations from Usual Medical Care using a Statistical Approach. In AMIA Annu Symp Proc, 2010, (pp. 827-831).United States.
Donzé, A., Clermont, G., Legay, A., & Langmead, C.J. (2009). Parameter Synthesis in Nonlinear Dynamical Systems: Application to Systems Biology. In Lecture Notes in Computer Science, 5541, (pp. 155-169).Springer Nature. doi: 10.1007/978-3-642-02008-7_11.
Papachristou, G.I., Muddana, V., Langmead, C.J., Clermont, G., & Whitcomb, D.C. (2009). Multiplex Serum Marker Panel Accurately Predicts Systemic Complications of Acute Pancreatitis. In GASTROENTEROLOGY, 136(5), (p. A544).
Gomez, H., Severyn, D., Zenker, S., Torres, A., Kim, H.K., Gordon, L., Clermont, G., Pinsky, M.R., Polanco, P., Hermus, L., Namas, R., Vodovotz, Y., & Puyana, J.C. (2008). LEFT VENTRICULAR STROKE VOLUME-ARTERIAL PRESSURE RELATIONSHIP DURING HEMORRHAGE IN A PORCINE MODEL. In CRITICAL CARE MEDICINE, 36(12), (p. A150).
Hartman, M.E., Clermont, G., Angus, D.C., Watson, R.S., & Linde-Zwirble, W.T. (2008). PEDIATRIC SEVERE SEPSIS IN THE US: 1995 VS. 2005. In CRITICAL CARE MEDICINE, 36(12), (p. A76).
Namas, R., Torres, A., Gomez, H., Barclay, D., Zenker, S., Clermont, G., Puyana, J.C., Pinsky, M.R., & Vodovotz, Y. (2008). Robustness of early inflammation may predispose to survival: Studies in a porcine model of hemorrhagic shock. In SHOCK, 29, (p. 74).
Reynolds, A., Clermont, G., Rubin, J., & Ermentrout, B. (2008). A mathematical model of acute inflammation which accounts for blood and tissue interactions. In SHOCK, 29, (pp. 84-85).
Zenker, S., Gomez, H., Polanco, P., Namas, R., Torres, A., Clermont, G., Vodovotz, Y., Pinsky, M., & Puyana, J. (2008). Role of pulmonary resistance in response to resuscitation of porcine shocked trauma and circulatory collapse. In SHOCK, 29, (p. 17).
Mezger, J., Visweswaran, S., Hauskrecht, M., Clermont, G., & Cooper, G.F. (2007). A statistical approach for detecting deviations from usual medical care. In AMIA Annu Symp Proc, (p. 1051).United States.
Polanco, P., Rollins, J.B., Busche, F.D., Clermont, G., Pinsky, M.R., & Puyana, J.C. (2007). Heart rate to pulse pressure ratio as an index of cardiovascular sufficiency in a porcine model of severe hemorrhagic shock. In INFLAMMATION RESEARCH, 56, (pp. S211-S212).
Salmon, A.A., Kellum, J.A., & Clermont, G. (2007). Hypotension within 24 hours of ICU admission is associated with increased mortality and developing of acute kidney injury. In CRITICAL CARE MEDICINE, 35(12), (p. A153).
Zenker, S., Polanco, P.M., Torres, A., Clermont, G., Pinsky, M.R., Kim, H.K., Vodovotz, Y., & Puyana, J.C. (2007). Quantifying microcirculatory variability using the reflectance intensity (RI) signal of a reflectance pulse oxymeter (RO). In CRITICAL CARE MEDICINE, 35(12), (p. A28).
Chang, S., Baratt, A., Clermont, G., Planquois, J.M., Yan, S.B., Williams, M., & Macias, W. (2006). Mathematical model predicting outcomes of sepsis patients treated with XIGRIS®:: Enhance trial. In SHOCK, 25(6), (pp. 70-71).Wolters Kluwer. doi: 10.1097/00024382-200606001-00213.
Vodovotz, Y., Hoffman, R., Barratt, A., Wei, J., Lagoa, C., Billiar, T.R., Clermont, G., & Bartels, J. (2006). In silico and in vivo studies modeling the aged acute inflammatory response. In SHOCK, 25(6), (pp. 39-40).Wolters Kluwer. doi: 10.1097/00024382-200606001-00118.
Zenker, S., Polanco, P., Torres, A., Vodovotz, Y., Puyana, J.C., Pinsky, M.R., & Clermont, G. (2006). Continuous sublingual PCO2 as a rapid indicator of changes in tissue perfusion in hemorrhagic shock:: An experimental study. In SHOCK, 25(6), (p. 57).Wolters Kluwer. doi: 10.1097/00024382-200606001-00173.
Chang, S., Busche, F., Vodovotz, Y., Clermont, G., & Fink, M. (2005). Integrating environmental factors into a mathematical model to predict mortality of septic patients. In SHOCK, 23, (p. 3).
Hoste, E., Angus, D.C., Clermont, G., Venkataraman, R., Kersten, A., & Kellum, J.A. (2005). Patients with acute kidney dysfunction at ICU admission have worse survival compared to patients with subsequent acute kidney dysfunction. In CRITICAL CARE MEDICINE, 33(12), (p. A73).Wolters Kluwer. doi: 10.1097/00003246-200512002-00260.
Huang, D.T., Clermont, G., Angus, D.C., Sexton, J.B., Kong, L., Weissfeld, L., & Rowan, K. (2005). The effect of ICU culture on patient outcomes - A US multicenter study. In CRITICAL CARE MEDICINE, 33(12), (p. A2).Wolters Kluwer. doi: 10.1097/00003246-200512002-00006.
Levy, R., Prince, J., Clermont, G., Kane, J., Hierholzer, C., Lagoa, C., Fink, M., Billiar, T., & Vodovotz, Y. (2005). In silico models predict and in vivo studies verify that gut-derived LPS plays a minimal role in activating the innate immune response after hemorrhage. In SHOCK, 23, (pp. 6-7).
Nieman, G., Bartels, J., Wei, J., Baratt, A., Chang, S., Puyana, J., Carney, D., Clermont, G., DiRocco, J., & Vodovotz, Y. (2005). Mathematical simulation of inflammtion in porcine septic shock and ARDS. In SHOCK, 23, (p. 3).
Vodovotz, Y., Chow, C., Bartels, J., Lagoa, C., Kumar, R., Day, J., Rubin, J., Constantine, G., Billiar, T., Fink, M., & Clermont, G. (2005). Mathematical simulations of sepsis and trauma. In SHOCK, 23, (pp. 26-27).
Clermont, G., Kumar, R., Bartels, J., Chang, S., Chow, C., & Vodovotz, Y. (2004). In silico clinical trials: A method coming of age. In SHOCK, 21(Supplement), (p. 99).Wolters Kluwer. doi: 10.1097/00024382-200403001-00393.
Vodovotz, Y., Clermont, G., Bartels, J., Constantine, G., & Chow, C. (2004). Validation and calibration in animals of a mathematical model of acute inflammation. In SHOCK, 21(Supplement), (p. 98).Wolters Kluwer. doi: 10.1097/00024382-200403001-00392.
Vodovotz, Y., Kumar, R., Bartels, J., Clermont, G., & Chow, C.C. (2004). A mathematical simulation of the inflammatory response to Anthrax infection. In JOURNAL OF LEUKOCYTE BIOLOGY, (p. 50).
Vodovotz, Y., Lagoa, C., Day, J., Kumar, R., Chow, C., Fink, M.P., Billiar, T.F., & Clermont, G. (2004). Predicting the acute inflammatory response in combined trauma-hemorrhage and endotoxemia using mathematical simulations. In SHOCK, 21, (p. 50).Wolters Kluwer. doi: 10.1097/00024382-200406002-00146.
Garber, N., Watson, R.S., Kersten, A., Milbrandt, E.B., Clermont, G., Hartman, M.E., Angus, D.C., & Linde-Zwirble, W.T. (2003). The size and scope of intensive care for children in the US. In CRITICAL CARE MEDICINE, 31(12), (p. A78).
Huang, D.T., Clermont, G., Karlo, C.A., Angus, D.C., Sexton, J.B., & Rowan, K.M. (2003). Safety attitudes vary across ICUs of a single hospital. In CRITICAL CARE MEDICINE, 31(12), (p. A25).
Kersten, A., Milbrandt, E.B., Rahim, M.G.T., Watson, R.S., Clermont, G., Angus, D.C., & Linde-Zwirble, V. (2003). How big is critical care in the US?. In CRITICAL CARE MEDICINE, 31(12), (p. A8).
Lagoa, C.E., Clermont, G., Kumar, R., Bartels, J., Chow, C.C., & Vodovotz, Y. (2003). Prediction of the acute inflammatory response from a mathematical model. In CHEST, 124(4), (p. 121S).Elsevier. doi: 10.1378/chest.124.4_MeetingAbstracts.121S-a.
Rahim, M.T., Milbrandt, E.B., Dremsizov, T.T., Kersten, A., Watson, R.S., Clermont, G., Angus, D.C., & Linde-Zwirble, V.T. (2003). Pricing critical care: An updated Russell equation. In CRITICAL CARE MEDICINE, 31(12), (p. A8).
Angus, D.C., Linde-Zwirble, W.T., Clermont, G., Ball, D.E., Basson, B.R., Ely, E.W., Laterre, P.F., Vincent, J.L., Bernard, G.R., & van Hout, B. (2002). Cost-effectiveness of drotrecogin alfa (activated) (Xigris™) in severe sepsis. In CRITICAL CARE MEDICINE, 30(2), (p. 493).
Watson, R.S., Hartman, M.E., Clermont, G.C., & Angus, D.C. (2002). Epidemiology of mechanical ventilation non-infant US children. In CRITICAL CARE MEDICINE, 30(12), (p. A131).Wolters Kluwer. doi: 10.1097/00003246-200212001-00446.
Watson, R.S., Hartman, M.E., Clermont, G.C., & Angus, D.C. (2002). Epidemiology of mechanical ventilation non-infant US children. In CRITICAL CARE MEDICINE, 30(12), (p. A165).
Clermont, G., Chow, C.C., Kumar, R., & Vodovotz, Y. (2001). Mathematical simulation of the innate immune response. In CRITICAL CARE MEDICINE, 29(12), (p. A111).
Kumar, R., Chow, C.C., Clermont, G., & Vodovotz, Y. (2001). A theoretical model for the simulation of sepsis. In JOURNAL OF LEUKOCYTE BIOLOGY, (p. 90).
Linde-Zwirble, W.T., Clermont, G., Van Hout, B., Ball, D.E., Basson, B.R., & Angus, D.C. (2001). Increased survivorship with drotrecogin alfa (activated) in the treatment of severe sepsis: The effect on hospital costs. In CRITICAL CARE MEDICINE, 29(12), (p. A1).
Watson, R.S., Linde-Zwirble, W.T., Lidicker, J., Rickert, T., Carcillo, J., Clermont, G., & Angus, D.C. (2001). The increasing burden of severe sepsis in US children. In CRITICAL CARE MEDICINE, 29(12), (p. A8).
Angus, D.C., Vincent, J.L., Artigas, A., Clermont, G., Linde-Zwirble, W.T., Shanies, H.M., Kujath, P., Henderson, S., Kalil, A.C., Basson, B.R., & Bernard, G.R. (2000). The effect of recombinant human activated protein C (rhAPC) on organ dysfunction and functional recovery in severe sepsis. In CRITICAL CARE MEDICINE, 28(12), (p. A48).
Linde-Zwirble, W.T., Angus, D.C., Griffin, M., Watson, R.S., & Clermont, G. (2000). ICU care at the end-of-life in America: An epidemiologic study. In CRITICAL CARE MEDICINE, 28(12), (p. A34).
Watson, R.S., Linde-Zwirble, W.T., Lidicker, J., Carcillo, J., Clermont, G., & Angus, D.C. (2000). Severe sepsis in children: A US epidemiologic study. In CRITICAL CARE MEDICINE, 28(12), (p. A46).
Linde-Zwirble, W.T., Angus, D.C., Carcillo, J., Lidicker, J., Clermont, G., & Pinsky, M.R. (1999). Age-specific incidence and outcome of sepsis in the US. In CRITICAL CARE MEDICINE, 27(1), (p. A33).Ovid Technologies (Wolters Kluwer Health). doi: 10.1097/00003246-199901001-00023.
Musthafa, A.A., Angus, D.C., Griffin, M., Clermont, G., Linde-Zwirble, W.T., & Pinsky, M.R. (1999). Correlating functional status with quality of life after ARDS. In AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 159(3), (p. A718).
Musthafa, A.A., Angus, D.C., Linde-Zwirble, W.T., Clermont, G., Griffin, M., & Pinsky, M.R. (1999). The first year after ARDS: Results of a multicenter study. In CRITICAL CARE MEDICINE, 27(1), (p. A37).Wolters Kluwer. doi: 10.1097/00003246-199901001-00036.
Stahl, J., Bryce, C., Clermont, G., Roberts, M., Angus, D., & Sefcik, T. (1999). Disease specific changes in total bilirubin in patients on the waiting list for liver transplant. Annual meeting of the American Society of Transplantation.Chicago, IL. doi: 10.1097/00007890-199904150-00793.
Stahl, J.E., Clermont, G., Angus, D.C., Bryce, C.L., Sefcik, T., & Roberts, M.S. (1999). Stability of hospital utilization rates while awaiting liver transplantation. Annual meeting of the American Society of Transplant Surgeons.Chicago, IL. doi: 10.1097/00007890-199905150-00070.
Acker, C.G., Clermont, G., Angus, D.C., Sirio, C.A., Pinsky, M.R., & Johnson, J.P. (1996). Acute and chronic renal failure in the ICU. In JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 7(9), (p. A0611).