Gilles Clermont

Aldewereld, Z., Horvat, C., Carcillo, J.A., & Clermont, G. (2024). EMERGENCE OF A TECHNOLOGY-DEPENDENT PHENOTYPE OF PEDIATRIC SEPSIS IN A LARGE CHILDREN'S HOSPITAL. Shock, 61(1), 76-82.Wolters Kluwer. doi: 10.1097/SHK.0000000000002264.

Heavner, S.F., Kumar, V.K., Anderson, W., Al-Hakim, T., Dasher, P., Armaignac, D.L., Clermont, G., Cobb, J.P., Manion, S., Remy, K.E., Reuter-Rice, K., & Haendel, M. (2024). Critical Data for Critical Care: A Primer on Leveraging Electronic Health Record Data for Research From Society of Critical Care Medicine's Panel on Data Sharing and Harmonization. Crit Care Explor, 6(11), e1179.Wolters Kluwer. doi: 10.1097/CCE.0000000000001179.

King, A.J., Higgins, L., Au, C., Malakouti, S., Music, E., Kalchthaler, K., Clermont, G., Garrard, W., Huang, D.T., McVerry, B.J., Seymour, C.W., Linstrum, K., McNamara, A., Green, C., Loar, I., Roberts, T., Marroquin, O., Angus, D.C., & Horvat, C.M. (2024). Automatic Population of the Case Report Forms for an International Multifactorial Adaptive Platform Trial Amid the COVID-19 Pandemic. AMIA Jt Summits Transl Sci Proc, 2024, 276-284. doi: 10.1101/2023.09.19.23295797.

Pinsky, M.R., Bedoya, A., Bihorac, A., Celi, L., Churpek, M., Economou-Zavlanos, N.J., Elbers, P., Saria, S., Liu, V., Lyons, P.G., Shickel, B., Toral, P., Tscholl, D., & Clermont, G. (2024). Use of artificial intelligence in critical care: opportunities and obstacles. Crit Care, 28(1), 113.Springer Nature. doi: 10.1186/s13054-024-04860-z.

Qiu, J., Zimmet, A.N., Bell, T.D., Gadrey, S., Brandberg, J., Maldonado, S., Zimmet, A.M., Ratcliffe, S., Chernyavskiy, P., Moorman, J.R., Clermont, G., Henry, T.R., Nguyen, N.R., & Moore, C.C. (2024). Pathophysiological Responses to Bloodstream Infection in Critically Ill Transplant Recipients Compared With Non-Transplant Recipients. Clin Infect Dis, 78(4), 1011-1021.Oxford University Press (OUP). doi: 10.1093/cid/ciad662.

Soliman, M.M., Marshall, C., Kimball, J.P., Choudhary, T., Clermont, G., Pinsky, M.R., Buchman, T.G., Coopersmith, C.M., Inan, O.T., & Kamaleswaran, R. (2024). Parsimonious Waveform-derived Features consisting of Pulse Arrival Time and Heart Rate Variability Predicts the Onset of Septic Shock. Biomed Signal Process Control, 92, 105974.Elsevier. doi: 10.1016/j.bspc.2024.105974.

Yoon, J.H., Kim, J., Lagattuta, T., Pinsky, M.R., Hravnak, M., & Clermont, G. (2024). Early Physiologic Numerical and Waveform Characteristics of Simulated Hemorrhagic Events With Healthy Volunteers Donating Blood. Crit Care Explor, 6(4), e1073.Wolters Kluwer. doi: 10.1097/CCE.0000000000001073.

Al-Zaiti, S., Martin-Gill, C., Zégre-Hemsey, J., Bouzid, Z., Faramand, Z., Alrawashdeh, M., Gregg, R., Helman, S., Riek, N., Kraevsky-Phillips, K., Clermont, G., Akcakaya, M., Sereika, S., Van Dam, P., Smith, S., Birnbaum, Y., Saba, S., Sejdic, E., & Callaway, C. (2023). Machine Learning for the ECG Diagnosis and Risk Stratification of Occlusion Myocardial Infarction at First Medical Contact. Res Sq, 4(02-10), rs.3.rs-2510930.Research Square Platform. doi: 10.21203/rs.3.rs-2510930/v1.

Al-Zaiti, S.S., Martin-Gill, C., Zègre-Hemsey, J.K., Bouzid, Z., Faramand, Z., Alrawashdeh, M.O., Gregg, R.E., Helman, S., Riek, N.T., Kraevsky-Phillips, K., Clermont, G., Akcakaya, M., Sereika, S.M., Van Dam, P., Smith, S.W., Birnbaum, Y., Saba, S., Sejdic, E., & Callaway, C.W. (2023). Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction. Nat Med, 29(7), 1804-1813.Springer Nature. doi: 10.1038/s41591-023-02396-3.

Clermont, G. (2023). The Learning Electronic Health Record. Crit Care Clin, 39(4), 689-700.Elsevier. doi: 10.1016/j.ccc.2023.03.004.

Helman, S., Terry, M.A., Pellathy, T., Hravnak, M., George, E., Al-Zaiti, S., & Clermont, G. (2023). Engaging Multidisciplinary Clinical Users in the Design of an Artificial Intelligence-Powered Graphical User Interface for Intensive Care Unit Instability Decision Support. Appl Clin Inform, 14(4), 789-802.Thieme. doi: 10.1055/s-0043-1775565.

King, A., Higgins, L., Au, C., Malakouti, S., Music, E., Kalchthaler, K., Clermont, G., Garrard, W., Huang, D., McVerry, B., Seymour, C., Linstrum, K., McNamara, A., Green, C., Loar, I., Roberts, T., Marroquin, O., Angus, D., & Horvat, C. (2023). Automatic Population of the Case Report Forms for an International Multifactorial Adaptive Platform Trial Amid the COVID-19 Pandemic. In medRxiv. doi: 10.1101/2023.09.19.23295797.

Lint, A., Parker, R.S., & Clermont, G. (2023). Modeling blood urea nitrogen (BUN) dynamics to estimate dialysis adequacy. Journal of Critical Care, 74, (p. 154207).Elsevier. doi: 10.1016/j.jcrc.2022.154207.

Monfredi, O.J., Moore, C.C., Sullivan, B.A., Keim-Malpass, J., Fairchild, K.D., Loftus, T.J., Bihorac, A., Krahn, K.N., Dubrawski, A., Lake, D.E., Moorman, J.R., & Clermont, G. (2023). Continuous ECG monitoring should be the heart of bedside AI-based predictive analytics monitoring for early detection of clinical deterioration. J Electrocardiol, 76, 35-38.Elsevier. doi: 10.1016/j.jelectrocard.2022.10.011.

Papadopoulos, S., Parker, R.S., & Clermont, G. (2023). Modeling sepsis-induced organ failure. Journal of Critical Care, 74, 154204.Elsevier. doi: 10.1016/j.jcrc.2022.154204.

Rooney, S.R., & Clermont, G. (2023). Forecasting algorithms in the ICU. J Electrocardiol, 81, 253-257.Elsevier. doi: 10.1016/j.jelectrocard.2023.09.015.

Rooney, S.R., Kaufman, R., Murugan, R., Kashani, K.B., Pinsky, M.R., Al-Zaiti, S., Dubrawski, A., Clermont, G., & Miller, J.K. (2023). Forecasting imminent atrial fibrillation in long-term electrocardiogram recordings. J Electrocardiol, 81, 111-116.Elsevier. doi: 10.1016/j.jelectrocard.2023.08.011.

Valeva, S., Pang, G., Schaefer, A.J., & Clermont, G. (2023). Acuity-Based Allocation of ICU-Downstream Beds with Flexible Staffing. INFORMS JOURNAL ON COMPUTING, 35(2), 403-422.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/ijoc.2022.1267.

Ack, S.E., Loiseau, S.Y., Sharma, G., Goldstein, J.N., Lissak, I.A., Duffy, S.M., Amorim, E., Vespa, P., Moorman, J.R., Hu, X., Clermont, G., Park, S., Kamaleswaran, R., Foreman, B.P., & Rosenthal, E.S. (2022). Neurocritical Care Performance Measures Derived from Electronic Health Record Data are Feasible and Reveal Site-Specific Variation: A CHoRUS Pilot Project. Neurocrit Care, 37(Suppl 2), 276-290.Springer Nature. doi: 10.1007/s12028-022-01497-0.

Aldewereld, Z.T., Zhang, L.A., Urbano, A., Parker, R.S., Swigon, D., Banerjee, I., Gómez, H., & Clermont, G. (2022). Identification of Clinical Phenotypes in Septic Patients Presenting With Hypotension or Elevated Lactate. Front Med (Lausanne), 9, 794423.Frontiers. doi: 10.3389/fmed.2022.794423.

Al-Zaiti, S.S., Alghwiri, A.A., Hu, X., Clermont, G., Peace, A., Macfarlane, P., & Bond, R. (2022). A clinician's guide to understanding and critically appraising machine learning studies: a checklist for Ruling Out Bias Using Standard Tools in Machine Learning (ROBUST-ML). Eur Heart J Digit Health, 3(2), 125-140.Oxford University Press (OUP). doi: 10.1093/ehjdh/ztac016.

Chang, H.H., Chiang, J.H., Wang, C.S., Chiu, P.F., Abdel-Kader, K., Chen, H., Siew, E.D., Yabes, J., Murugan, R., Clermont, G., Palevsky, P.M., & Jhamb, M. (2022). Predicting Mortality Using Machine Learning Algorithms in Patients Who Require Renal Replacement Therapy in the Critical Care Unit. J Clin Med, 11(18), 5289.MDPI. doi: 10.3390/jcm11185289.

Dey, A., Goswami, M., Yoon, J.H., Clermont, G., Pinsky, M., Hravnak, M., & Dubrawski, A. (2022). Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact. AMIA Annu Symp Proc, 2022, 405-414.

Helman, S., Terry, M.A., Pellathy, T., Williams, A., Dubrawski, A., Clermont, G., Pinsky, M.R., Al-Zaiti, S., & Hravnak, M. (2022). Engaging clinicians early during the development of a graphical user display of an intelligent alerting system at the bedside. Int J Med Inform, 159, 104643.Elsevier. doi: 10.1016/j.ijmedinf.2021.104643.

Murugan, R., Kerti, S.J., Chang, C.C.H., Gallagher, M., Neto, A.S., Clermont, G., Ronco, C., Palevsky, P.M., Kellum, J.A., & Bellomo, R. (2022). Association between Net Ultrafiltration Rate and Renal Recovery among Critically Ill Adults with Acute Kidney Injury Receiving Continuous Renal Replacement Therapy: An Observational Cohort Study. Blood Purif, 51(5), 397-409.Karger Publishers. doi: 10.1159/000517281.

Nanayakkara, T., Clermont, G., Langmead, C.J., & Swigon, D. (2022). Unifying cardiovascular modelling with deep reinforcement learning for uncertainty aware control of sepsis treatment. In Chua Chin Heng, M. (Ed.). PLOS Digit Health, 1(2), e0000012.Public Library of Science (PLoS). doi: 10.1371/journal.pdig.0000012.

Pellathy, T., Saul, M., Clermont, G., Dubrawski, A.W., Pinsky, M.R., & Hravnak, M. (2022). Accuracy of identifying hospital acquired venous thromboembolism by administrative coding: implications for big data and machine learning research. J Clin Monit Comput, 36(2), 397-405.Springer Nature. doi: 10.1007/s10877-021-00664-6.

Pinsky, M.R., Dubrawski, A., & Clermont, G. (2022). Intelligent Clinical Decision Support. Sensors (Basel), 22(4), 1408.MDPI. doi: 10.3390/s22041408.

Priyanka, P., Chang, C.C.H., Chawla, L.S., Kellum, J.A., Clermont, G., & Murugan, R. (2022). VASOPRESSOR-RESISTANT HYPOTENSION, COMBINATION VASOPRESSOR THERAPY, AND SHOCK PHENOTYPES IN CRITICALLY ILL ADULTS WITH VASODILATORY SHOCK. Shock, 58(4), 260-268.Wolters Kluwer. doi: 10.1097/SHK.0000000000001980.

Ramirez-Zuniga, I., Rubin, J.E., Swigon, D., Redl, H., & Clermont, G. (2022). A data-driven model of the role of energy in sepsis. J Theor Biol, 533, 110948.Elsevier. doi: 10.1016/j.jtbi.2021.110948.

Saul, M., Hravnak, M., Clermont, G., Pinsky, M., Lagattuta, T., Helman, S., & Al-Zaiti, S. (2022). MEDICAL EMERGENCY TEAM CALLS TO WARD PATIENTS AFTER DOWN-TRANSFER FROM AN ICU. In Critical Care Medicine. Critical Care Medicine, 50, (p. 617).Lippincott Williams & Wilkins.

Yoon, J.H., Pinsky, M.R., & Clermont, G. (2022). Artificial Intelligence in Critical Care Medicine. Crit Care, 26(1), 75.Springer Nature. doi: 10.1186/s13054-022-03915-3.

Arabi, Y.M., Gordon, A.C., Derde, L.P.G., Nichol, A.D., Murthy, S., Beidh, F.A., Annane, D., Swaidan, L.A., Beane, A., Beasley, R., Berry, L.R., Bhimani, Z., Bonten, M.J.M., Bradbury, C.A., Brunkhorst, F.M., Buxton, M., Buzgau, A., Cheng, A., De Jong, M., Detry, M.A., Duffy, E.J., Estcourt, L.J., Fitzgerald, M., Fowler, R., Girard, T.D., Goligher, E.C., Goossens, H., Haniffa, R., Higgins, A.M., Hills, T.E., Horvat, C.M., Huang, D.T., King, A.J., Lamontagne, F., Lawler, P.R., Lewis, R., Linstrum, K., Litton, E., Lorenzi, E., Malakouti, S., McAuley, D.F., McGlothlin, A., Mcguinness, S., McVerry, B.J., Montgomery, S.K., Morpeth, S.C., Mouncey, P.R., Orr, K., Parke, R., Parker, J.C., Patanwala, A.E., Rowan, K.M., Santos, M.S., Saunders, C.T., Seymour, C.W., Shankar-Hari, M., Tong, S.Y.C., Turgeon, A.F., Turner, A.M., Van de Veerdonk, F.L., Zarychanski, R., Green, C., Berry, S., Marshall, J.C., McArthur, C., Angus, D.C., Webb, S.A., & REMAP-CAP Investigators. (2021). Lopinavir-ritonavir and hydroxychloroquine for critically ill patients with COVID-19: REMAP-CAP randomized controlled trial. Intensive Care Med, 47(8), 867-886.Springer Nature. doi: 10.1007/s00134-021-06448-5.

Gomez, H., Priyanka, P., Bataineh, A., Keener, C.M., Clermont, G., & Kellum, J.A. (2021). Effects of 5% Albumin Plus Saline Versus Saline Alone on Outcomes From Large-Volume Resuscitation in Critically Ill Patients. Crit Care Med, 49(1), 79-90.Wolters Kluwer. doi: 10.1097/CCM.0000000000004706.

King, A.J., Calzoni, L., Tajgardoon, M., Cooper, G.F., Clermont, G., Hochheiser, H., & Visweswaran, S. (2021). A simple electronic medical record system designed for research. JAMIA Open, 4(3), ooab040.Oxford University Press (OUP). doi: 10.1093/jamiaopen/ooab040.

Laird, P., Wertz, A., Welter, G., Maslove, D., Hamilton, A., Heung Yoon, J., Lake, D.E., Zimmet, A.E., Bobko, R., Randall Moorman, J., Pinsky, M.R., Dubrawski, A., & Clermont, G. (2021). The critical care data exchange format: a proposed flexible data standard for combining clinical and high-frequency physiologic data in critical care. Physiol Meas, 42(6), 065002.IOP Publishing. doi: 10.1088/1361-6579/abfc9b.

Maslove, D.M., Elbers, P.W.G., & Clermont, G. (2021). Artificial intelligence in telemetry: what clinicians should know. Intensive Care Med, 47(2), 150-153.Springer Nature. doi: 10.1007/s00134-020-06295-w.

Pressly, M.A., Parker, R.S., Waters, J.H., Beck, S.L., Jeyabalan, A., & Clermont, G. (2021). Improvements and limitations in developing multivariate models of hemorrhage and transfusion risk for the obstetric population. Transfusion, 61(2), 423-434.Wiley. doi: 10.1111/trf.16216.

Ranard, B.L., Megjhani, M., Terilli, K., Doyle, K., Claassen, J., Pinsky, M.R., Clermont, G., Vodovotz, Y., Asgari, S., & Park, S. (2021). Identification of Endotypes of Hospitalized COVID-19 Patients. Front Med (Lausanne), 8, 770343.Frontiers. doi: 10.3389/fmed.2021.770343.

Shah, F.A., Meyer, N.J., Angus, D.C., Awdish, R., Azoulay, É., Calfee, C.S., Clermont, G., Gordon, A.C., Kwizera, A., Leligdowicz, A., Marshall, J.C., Mikacenic, C., Sinha, P., Venkatesh, B., Wong, H.R., Zampieri, F.G., & Yende, S. (2021). A Research Agenda for Precision Medicine in Sepsis and Acute Respiratory Distress Syndrome: An Official American Thoracic Society Research Statement. Am J Respir Crit Care Med, 204(8), 891-901.American Thoracic Society. doi: 10.1164/rccm.202108-1908ST.

Thoral, P.J., Peppink, J.M., Driessen, R.H., Sijbrands, E.J.G., Kompanje, E.J.O., Kaplan, L., Bailey, H., Kesecioglu, J., Cecconi, M., Churpek, M., Clermont, G., van der Schaar, M., Ercole, A., Girbes, A.R.J., Elbers, P.W.G., & Amsterdam University Medical Centers Database (AmsterdamUMCdb) Collaborators and the SCCM/ESICM Joint Data Science Task Force. (2021). Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example. Crit Care Med, 49(6), e563-e577.Wolters Kluwer. doi: 10.1097/CCM.0000000000004916.

UPMC REMAP-COVID Group, on behalf of the REMAP-CAP Investigators. (2021). Implementation of the Randomized Embedded Multifactorial Adaptive Platform for COVID-19 (REMAP-COVID) trial in a US health system-lessons learned and recommendations. Trials, 22(1), 100.Springer Nature. doi: 10.1186/s13063-020-04997-6.

Visweswaran, S., King, A.J., Tajgardoon, M., Calzoni, L., Clermont, G., Hochheiser, H., & Cooper, G.F. (2021). Evaluation of eye tracking for a decision support application. JAMIA Open, 4(3), ooab059.Oxford University Press (OUP). doi: 10.1093/jamiaopen/ooab059.

Wolf, M.S., Rakkar, J., Horvat, C.M., Simon, D.W., Kochanek, P.M., Clermont, G., & Clark, R.S.B. (2021). Assessment of Dynamic Intracranial Compliance in Children with Severe Traumatic Brain Injury: Proof-of-Concept. Neurocrit Care, 34(1), 209-217.Springer Nature. doi: 10.1007/s12028-020-01004-3.

Angus, D.C., Derde, L., Al-Beidh, F., Annane, D., Arabi, Y., Beane, A., van Bentum-Puijk, W., Berry, L., Bhimani, Z., Bonten, M., Bradbury, C., Brunkhorst, F., Buxton, M., Buzgau, A., Cheng, A.C., de Jong, M., Detry, M., Estcourt, L., Fitzgerald, M., Goossens, H., Green, C., Haniffa, R., Higgins, A.M., Horvat, C., Hullegie, S.J., Kruger, P., Lamontagne, F., Lawler, P.R., Linstrum, K., Litton, E., Lorenzi, E., Marshall, J., McAuley, D., McGlothin, A., McGuinness, S., McVerry, B., Montgomery, S., Mouncey, P., Murthy, S., Nichol, A., Parke, R., Parker, J., Rowan, K., Sanil, A., Santos, M., Saunders, C., Seymour, C., Turner, A., van de Veerdonk, F., Venkatesh, B., Zarychanski, R., Berry, S., Lewis, R.J., McArthur, C., Webb, S.A., Gordon, A.C., Writing Committee for the REMAP-CAP Investigators, Al-Beidh, F., Angus, D., Annane, D., Arabi, Y., van Bentum-Puijk, W., Berry, S., Beane, A., Bhimani, Z., Bonten, M., Bradbury, C., Brunkhorst, F., Buxton, M., Cheng, A., De Jong, M., Derde, L., Estcourt, L., Goossens, H., Gordon, A., Green, C., Haniffa, R., Lamontagne, F., Lawler, P., Litton, E., Marshall, J., McArthur, C., McAuley, D., McGuinness, S., McVerry, B., Montgomery, S., Mouncey, P., Murthy, S., Nichol, A., Parke, R., Rowan, K., Seymour, C., Turner, A., van de Veerdonk, F., Webb, S., Zarychanski, R., Campbell, L., Forbes, A., Gattas, D., Heritier, S., Higgins, L., Kruger, P., Peake, S., Presneill, J., Seppelt, I., Trapani, T., Young, P., Bagshaw, S., Daneman, N., Ferguson, N., Misak, C., Santos, M., Hullegie, S., Pletz, M., Rohde, G., Rowan, K., Alexander, B., Basile, K., Girard, T., Horvat, C., Huang, D., Linstrum, K., Vates, J., Beasley, R., Fowler, R., McGloughlin, S., Morpeth, S., Paterson, D., Venkatesh, B., Uyeki, T., Baillie, K., Duffy, E., Fowler, R., Hills, T., Orr, K., Patanwala, A., Tong, S., Netea, M., Bihari, S., Carrier, M., Fergusson, D., Goligher, E., Haidar, G., Hunt, B., Kumar, A., Laffan, M., Lawless, P., Lother, S., McCallum, P., Middeldopr, S., McQuilten, Z., Neal, M., Pasi, J., Schutgens, R., Stanworth, S., Turgeon, A., Weissman, A., Adhikari, N., Anstey, M., Brant, E., de Man, A., Lamonagne, F., Masse, M.H., Udy, A., Arnold, D., Begin, P., Charlewood, R., Chasse, M., Coyne, M., Cooper, J., Daly, J., Gosbell, I., Harvala-Simmonds, H., Hills, T., MacLennan, S., Menon, D., McDyer, J., Pridee, N., Roberts, D., Shankar-Hari, M., Thomas, H., Tinmouth, A., Triulzi, D., Walsh, T., Wood, E., Calfee, C., O’Kane, C., Shyamsundar, M., Sinha, P., Thompson, T., Young, I., Bihari, S., Hodgson, C., Laffey, J., McAuley, D., Orford, N., Neto, A., Detry, M., Fitzgerald, M., Lewis, R., McGlothlin, A., Sanil, A., Saunders, C., Berry, L., Lorenzi, E., Miller, E., Singh, V., Zammit, C., van Bentum Puijk, W., Bouwman, W., Mangindaan, Y., Parker, L., Peters, S., Rietveld, I., Raymakers, K., Ganpat, R., Brillinger, N., Markgraf, R., Ainscough, K., Brickell, K., Anjum, A., Lane, J.B., Richards-Belle, A., Saull, M., Wiley, D., Bion, J., Connor, J., Gates, S., Manax, V., van der Poll, T., Reynolds, J., van Beurden, M., Effelaar, E., Schotsman, J., Boyd, C., Harland, C., Shearer, A., Wren, J., Clermont, G., Garrard, W., Kalchthaler, K., King, A., Ricketts, D., Malakoutis, S., Marroquin, O., Music, E., Quinn, K., Cate, H., Pearson, K., Collins, J., Hanson, J., Williams, P., Jackson, S., Asghar, A., Dyas, S., Sutu, M., Murphy, S., Williamson, D., Mguni, N., Potter, A., Porter, D., Goodwin, J., Rook, C., Harrison, S., Williams, H., Campbell, H., Lomme, K., Williamson, J., Sheffield, J., van’t Hoff, W., McCracken, P., Young, M., Board, J., Mart, E., Knott, C., Smith, J., Boschert, C., Affleck, J., Ramanan, M., D’Souza, R., Pateman, K., Shakih, A., Cheung, W., Kol, M., Wong, H., Shah, A., Wagh, A., Simpson, J., Duke, G., Chan, P., Cartner, B., Hunter, S., Laver, R., Shrestha, T., Regli, A., Pellicano, A., McCullough, J., Tallott, M., Kumar, N., Panwar, R., Brinkerhoff, G., Koppen, C., Cazzola, F., Brain, M., Mineall, S., Fischer, R., Biradar, V., Soar, N., White, H., Estensen, K., Morrison, L., Smith, J., Cooper, M., Health, M., Shehabi, Y., Al-Bassam, W., Hulley, A., Whitehead, C., Lowrey, J., Gresha, R., Walsham, J., Meyer, J., Harward, M., Venz, E., Williams, P., Kurenda, C., Smith, K., Smith, M., Garcia, R., Barge, D., Byrne, D., Byrne, K., Driscoll, A., Fortune, L., Janin, P., Yarad, E., Hammond, N., Bass, F., Ashelford, A., Waterson, S., Wedd, S., McNamara, R., Buhr, H., Coles, J., Schweikert, S., Wibrow, B., Rauniyar, R., Myers, E., Fysh, E., Dawda, A., Mevavala, B., Litton, E., Ferrier, J., Nair, P., Buscher, H., Reynolds, C., Santamaria, J., Barbazza, L., Homes, J., Smith, R., Murray, L., Brailsford, J., Forbes, L., Maguire, T., Mariappa, V., Smith, J., Simpson, S., Maiden, M., Bone, A., Horton, M., Salerno, T., Sterba, M., Geng, W., Depuydt, P., De Waele, J., De Bus, L., Fierens, J., Bracke, S., Reeve, B., Dechert, W., Chassé, M., Carrier, F.M., Boumahni, D., Benettaib, F., Ghamraoui, A., Bellemare, D., Cloutier, È., Francoeur, C., Lamontagne, F., D’Aragon, F., Carbonneau, E., Leblond, J., Vazquez-Grande, G., Marten, N., Wilson, M., Albert, M., Serri, K., Cavayas, A., Duplaix, M., Williams, V., Rochwerg, B., Karachi, T., Oczkowski, S., Centofanti, J., Millen, T., Duan, E., Tsang, J., Patterson, L., English, S., Watpool, I., Porteous, R., Miezitis, S., McIntyre, L., Brochard, L., Burns, K., Sandhu, G., Khalid, I., Binnie, A., Powell, E., McMillan, A., Luk, T., Aref, N., Andric, Z., Cviljevic, S., Đimoti, R., Zapalac, M., Mirković, G., Baršić, B., Kutleša, M., Kotarski, V., Vujaklija Brajković, A., Babel, J., Sever, H., Dragija, L., Kušan, I., Vaara, S., Pettilä, L., Heinonen, J., Kuitunen, A., Karlsson, S., Vahtera, A., Kiiski, H., Ristimäki, S., Azaiz, A., Charron, C., Godement, M., Geri, G., Vieillard-Baron, A., Pourcine, F., Monchi, M., Luis, D., Mercier, R., Sagnier, A., Verrier, N., Caplin, C., Siami, S., Aparicio, C., Vautier, S., Jeblaoui, A., Fartoukh, M., Courtin, L., Labbe, 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(2020). Effect of Hydrocortisone on Mortality and Organ Support in Patients With Severe COVID-19: The REMAP-CAP COVID-19 Corticosteroid Domain Randomized Clinical Trial. JAMA, 324(13), 1317-1329.American Medical Association (AMA). doi: 10.1001/jama.2020.17022.

Calzoni, L., Clermont, G., Cooper, G.F., Visweswaran, S., & Hochheiser, H. (2020). Graphical Presentations of Clinical Data in a Learning Electronic Medical Record. Appl Clin Inform, 11(4), 680-691.Thieme. doi: 10.1055/s-0040-1709707.

Chen, Y., Hong, C., Pinsky, M.R., Ma, T., & Clermont, G. (2020). Estimating Surgical Blood Loss Volume Using Continuously Monitored Vital Signs. Sensors (Basel), 20(22), 6558.MDPI. doi: 10.3390/s20226558.

Chen, Y., Yoon, J.H., Pinsky, M.R., Ma, T., & Clermont, G. (2020). Development of hemorrhage identification model using non-invasive vital signs. Physiol Meas, 41(5), 055010.IOP Publishing. doi: 10.1088/1361-6579/ab8cb2.

King, A.J., Calzoni, L., Tajgardoon, M., Cooper, G.F., Clermont, G., Hochheiser, H., & Visweswaran, S. (2020). A Simple Electronic Medical Record System Designed for Research. 2020.10.25.20219287.Cold Spring Harbor Laboratory. doi: 10.1101/2020.10.25.20219287.

King, A.J., Cooper, G.F., Clermont, G., Hochheiser, H., Hauskrecht, M., Sittig, D.F., & Visweswaran, S. (2020). Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning Study. J Med Internet Res, 22(4), e15876.JMIR Publications. doi: 10.2196/15876.

Pinsky, M.R., Wertz, A., Clermont, G., & Dubrawski, A. (2020). Parsimony of Hemodynamic Monitoring Data Sufficient for the Detection of Hemorrhage. Anesth Analg, 130(5), 1176-1187.Wolters Kluwer. doi: 10.1213/ANE.0000000000004564.

Pressly, M.A., Parker, R.S., Neal, M.D., Sperry, J.L., & Clermont, G. (2020). Accelerating availability of clinically-relevant parameter estimates from thromboelastogram point-of-care device. J Trauma Acute Care Surg, 88(5), 654-660.Wolters Kluwer. doi: 10.1097/TA.0000000000002608.

Tajgardoon, M., Cooper, G.F., King, A.J., Clermont, G., Hochheiser, H., Hauskrecht, M., Sittig, D.F., & Visweswaran, S. (2020). Modeling physician variability to prioritize relevant medical record information. JAMIA Open, 3(4), 602-610.Oxford University Press (OUP). doi: 10.1093/jamiaopen/ooaa058.

Visweswaran, S., King, A.J., Tajgardoon, M., Calzoni, L., Clermont, G., Hochheiser, H., & Cooper, G.F. (2020). Evaluation of Eye-tracking for a Decision Support Application. 2020.10.19.20215087.Cold Spring Harbor Laboratory. doi: 10.1101/2020.10.19.20215087.

Yoon, J.H., Jeanselme, V., Dubrawski, A., Hravnak, M., Pinsky, M.R., & Clermont, G. (2020). Prediction of hypotension events with physiologic vital sign signatures in the intensive care unit. Crit Care, 24(1), 661.Springer Nature. doi: 10.1186/s13054-020-03379-3.

De-Arteaga, M., Chen, J., Huggins, P., Elmer, J., Clermont, G., & Dubrawski, A. (2019). Predicting neurological recovery with Canonical Autocorrelation Embeddings. In Hu, X. (Ed.). PLoS One, 14(1), e0210966.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0210966.

Jolley, S.E., Angus, D.C., Clermont, G., & Hough, C.L. (2019). Discharge Destination As a Marker of Mobility Impairment in Survivors of Acute Respiratory Distress Syndrome. Crit Care Med, 47(10), e814-e819.Wolters Kluwer. doi: 10.1097/CCM.0000000000003906.

King, A.J., Cooper, G.F., Clermont, G., Hochheiser, H., Hauskrecht, M., Sittig, D.F., & Visweswaran, S. (2019). Using machine learning to selectively highlight patient information. J Biomed Inform, 100, 103327.Elsevier. doi: 10.1016/j.jbi.2019.103327.

Murugan, R., Kerti, S.J., Chang, C.C.H., Gallagher, M., Clermont, G., Palevsky, P.M., Kellum, J.A., & Bellomo, R. (2019). Association of Net Ultrafiltration Rate With Mortality Among Critically Ill Adults With Acute Kidney Injury Receiving Continuous Venovenous Hemodiafiltration: A Secondary Analysis of the Randomized Evaluation of Normal vs Augmented Level (RENAL) of Renal Replacement Therapy Trial. JAMA Netw Open, 2(6), e195418.American Medical Association (AMA). doi: 10.1001/jamanetworkopen.2019.5418.

Ramirez-Zuniga, I., Rubin, J.E., Swigon, D., & Clermont, G. (2019). Mathematical modeling of energy consumption in the acute inflammatory response. J Theor Biol, 460, 101-114.Elsevier. doi: 10.1016/j.jtbi.2018.08.033.

Seymour, C.W., Kennedy, J.N., Wang, S., Chang, C.C.H., Elliott, C.F., Xu, Z., Berry, S., Clermont, G., Cooper, G., Gomez, H., Huang, D.T., Kellum, J.A., Mi, Q., Opal, S.M., Talisa, V., van der Poll, T., Visweswaran, S., Vodovotz, Y., Weiss, J.C., Yealy, D.M., Yende, S., & Angus, D.C. (2019). Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis. JAMA, 321(20), 2003-2017.American Medical Association (AMA). doi: 10.1001/jama.2019.5791.

Wertz, A., Holder, A.L., Guillame-Bert, M., Clermont, G., Dubrawski, A., & Pinsky, M.R. (2019). Increasing Cardiovascular Data Sampling Frequency and Referencing It to Baseline Improve Hemorrhage Detection. Crit Care Explor, 1(10), e0058.Wolters Kluwer. doi: 10.1097/CCE.0000000000000058.

Yoon, J.H., Mu, L., Chen, L., Dubrawski, A., Hravnak, M., Pinsky, M.R., & Clermont, G. (2019). Predicting tachycardia as a surrogate for instability in the intensive care unit. J Clin Monit Comput, 33(6), 973-985.Springer Nature. doi: 10.1007/s10877-019-00277-0.

Zenker, S., Rubin, J., & Clermont, G. (2019). Correction: From Inverse Problems in Mathematical Physiology to Quantitative Differential Diagnoses. PLoS Comput Biol, 15(6), e1007155.Public Library of Science (PLoS). doi: 10.1371/journal.pcbi.1007155.

Bose, E.L., Clermont, G., Chen, L., Dubrawski, A.W., Ren, D., Hoffman, L.A., Pinsky, M.R., & Hravnak, M. (2018). Cardiorespiratory instability in monitored step-down unit patients: using cluster analysis to identify patterns of change. J Clin Monit Comput, 32(1), 117-126.Springer Nature. doi: 10.1007/s10877-017-0001-7.

Hravnak, M., Pellathy, T., Chen, L., Dubrawski, A., Wertz, A., Clermont, G., & Pinsky, M.R. (2018). A call to alarms: Current state and future directions in the battle against alarm fatigue. J Electrocardiol, 51(6S), S44-S48.Elsevier. doi: 10.1016/j.jelectrocard.2018.07.024.

King, A.J., Cooper, G.F., Hochheiser, H., Clermont, G., Hauskrecht, M., & Visweswaran, S. (2018). Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System. AMIA Annu Symp Proc, 2018, 673-682.

McCarroll, M.J., Clermont, G., Gomez, H., Swigon, D., & Parker, R.S. (2018). Characterization of Blood Volume Space and Mitochondrial Activity in Functional Renal Cells. IFAC Pap OnLine, 51(19), 118-119.Elsevier. doi: 10.1016/j.ifacol.2018.09.013.

Murugan, R., Balakumar, V., Kerti, S.J., Priyanka, P., Chang, C.C.H., Clermont, G., Bellomo, R., Palevsky, P.M., & Kellum, J.A. (2018). Net ultrafiltration intensity and mortality in critically ill patients with fluid overload. Crit Care, 22(1), 223.Springer Nature. doi: 10.1186/s13054-018-2163-1.

Peck Palmer, O.M., Rogers, G., Yende, S., Angus, D.C., Clermont, G., & Langston, M.A. (2018). Graph Theoretical Analysis of Genome-Scale Data: Examination of Gene Activation Occurring in the Setting of Community-Acquired Pneumonia. Shock, 50(1), 53-59.Wolters Kluwer. doi: 10.1097/SHK.0000000000001029.

Pressly, M.A., Neal, M.D., Waters, J.H., Clermont, G., & Parker, R.S. (2018). Coupled Model of Blood Volume and Activated Clotting Factor Concentration during Childbirth. IFAC Pap OnLine, 51(19), 52-55.Elsevier. doi: 10.1016/j.ifacol.2018.09.038.

Zhang, L.A., Urbano, A., Clermont, G., Swigon, D., Banerjee, I., & Parker, R.S. (2018). APT-MCMC, a C++/Python implementation of Markov Chain Monte Carlo for parameter identification. Comput Chem Eng, 110, 1-12.Elsevier. doi: 10.1016/j.compchemeng.2017.11.011.

Balakumar, V., Murugan, R., Sileanu, F.E., Palevsky, P., Clermont, G., & Kellum, J.A. (2017). Both Positive and Negative Fluid Balance May Be Associated With Reduced Long-Term Survival in the Critically Ill. Crit Care Med, 45(8), e749-e757.Wolters Kluwer. doi: 10.1097/CCM.0000000000002372.

Bose, E., Chen, L., Clermont, G., Dubrawski, A., Pinsky, M.R., Ren, D., Hoffman, L.A., & Hravnak, M. (2017). Risk for Cardiorespiratory Instability Following Transfer to a Monitored Step-Down Unit. Respir Care, 62(4), 415-422.Daedalus Enterprises. doi: 10.4187/respcare.05001.

Chen, L., Ogundele, O., Clermont, G., Hravnak, M., Pinsky, M.R., & Dubrawski, A.W. (2017). Dynamic and Personalized Risk Forecast in Step-Down Units. Implications for Monitoring Paradigms. Ann Am Thorac Soc, 14(3), 384-391.American Thoracic Society. doi: 10.1513/AnnalsATS.201611-905OC.

Guillame-Bert, M., Dubrawski, A., Wang, D., Hravnak, M., Clermont, G., & Pinsky, M.R. (2017). Learning temporal rules to forecast instability in continuously monitored patients. J Am Med Inform Assoc, 24(1), 47-53.Oxford University Press (OUP). doi: 10.1093/jamia/ocw048.

Jin, K., Murugan, R., Sileanu, F.E., Foldes, E., Priyanka, P., Clermont, G., & Kellum, J.A. (2017). Intensive Monitoring of Urine Output Is Associated With Increased Detection of Acute Kidney Injury and Improved Outcomes. Chest, 152(5), 972-979.Elsevier. doi: 10.1016/j.chest.2017.05.011.

Jolley, S.E., Hough, C.L., Clermont, G., Hayden, D., Hou, S., Schoenfeld, D., Smith, N.L., Thompson, B.T., Bernard, G.R., Angus, D.C., & ARDS Network Investigators. (2017). Relationship between Race and the Effect of Fluids on Long-term Mortality after Acute Respiratory Distress Syndrome. Secondary Analysis of the National Heart, Lung, and Blood Institute Fluid and Catheter Treatment Trial. Ann Am Thorac Soc, 14(9), 1443-1449.American Thoracic Society. doi: 10.1513/AnnalsATS.201611-906OC.

King, A.J., Hochheiser, H., Visweswaran, S., Clermont, G., & Cooper, G.F. (2017). Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR. AMIA Jt Summits Transl Sci Proc, 2017, 512-521.

Pritchard-Bell, A., Clermont, G., Knab, T.D., Maalouf, J., Vilkhovoy, M., & Parker, R.S. (2017). Modeling glucose and subcutaneous insulin dynamics in critical care. CONTROL ENGINEERING PRACTICE, 58, 268-275.Elsevier. doi: 10.1016/j.conengprac.2016.07.005.

Richards, E., Clermont, G., & Parker, R.S. (2017). Modeling Fluid Volume and Creatinine Dynamics during Acute Kidney Injury and Edema. IFAC-PapersOnLine, 50(1), 6678-6683.Elsevier. doi: 10.1016/j.ifacol.2017.08.1160.

Sen, A., Keener, C.M., Sileanu, F.E., Foldes, E., Clermont, G., Murugan, R., & Kellum, J.A. (2017). Chloride Content of Fluids Used for Large-Volume Resuscitation Is Associated With Reduced Survival. Crit Care Med, 45(2), e146-e153.Wolters Kluwer. doi: 10.1097/CCM.0000000000002063.

Seymour, C.W., Gomez, H., Chang, C.C.H., Clermont, G., Kellum, J.A., Kennedy, J., Yende, S., & Angus, D.C. (2017). Precision medicine for all? Challenges and opportunities for a precision medicine approach to critical illness. Crit Care, 21(1), 257.Springer Nature. doi: 10.1186/s13054-017-1836-5.

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(2016). 36th International Symposium on Intensive Care and Emergency Medicine : Brussels, Belgium. 15-18 March 2016. Crit Care, 20(Suppl 2), 94.Springer Nature. doi: 10.1186/s13054-016-1208-6.

Bos, L., Schouten, L., van Vught, L., Wiewel, M., Ong, D., Cremer, O., Artigas, A., Martin-Loeches, I., Hoogendijk, A., van der Poll, T., Horn, J., Juffermans, N., Schultz, M., de Prost, N., Pham, T., Carteaux, G., Mekontso Dessap, A., Brun-Buisson, C., Fan, E., Bellani, G., Laffey, J., Mercat, A., Brochard, L., Maitre, B., LUNG SAFE investigators and the ESICM study group, Howells, P.A., Thickett, D.R., Knox, C., Park, D.P., Gao, F., Tucker, O., Whitehouse, T., McAuley, D.F., Perkins, G.D., Pham, T., Laffey, J., Bellani, G., Fan, E., LUNG SAFE Investigators and the ESICM Trials Group, Pisani, L., Roozeman, J.P., Simonis, F.D., Giangregorio, A., Schouten, L.R., Van der Hoeven, S.M., Horn, J., Neto, A.S., Festic, E., Dondorp, A.M., Grasso, S., Bos, L.D., Schultz, M.J., Koster-Brouwer, M., Verboom, D., Scicluna, B., van de Groep, K., Frencken, J., Schultz, M., van der Poll, T., Bonten, M., Cremer, O., Ko, J.I., Kim, K.S., Suh, G.J., Kwon, W.Y., Kim, K., Shin, J.H., Ranzani, O.T., Prina, 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S., Kirkman, E., Jian, Z., Buddi, S., Lee, C., Settels, J., Hatib, F., Pinsky, M.R., Bertini, P., Guarracino, F., Trepte, C., Richter, P., Haas, S.A., Eichhorn, V., Kubitz, J.C., Reuter, D.A., Soliman, M.S., Hamimy, W.I., Fouad, A.Z., Mukhtar, A.M., Charlton, M., Tonks, L., Mclelland, L., Coats, T.J., Thompson, J.P., Sims, M.R., Williams, D., Roushdy, D.Z., Soliman, R.A., Nahas, R.A., Arafa, M.Y., Hung, W.T., Chiang, C.C., Huang, W.C., Lin, K.C., Lin, S.C., Cheng, C.C., Kang, P.L., Wann, S.R., Mar, G.Y., Liu, C.P., Carranza, M.L., Fernandez, H.S., Roman, J.A.S., Lucena, F., Garcia, A.C., Vazquez, A.L., Serrano, A.L., ARIAM-SEMICYUC Registry Investigators, Moreira, L.S., Vidal-Perez, R., Herranz, U.A., Acuna, J.M.G., Gil, C.P., Allut, J.L.G., Sedes, P.R., Lopez, C.M., Paz, E.S., Rodriguez, C.G., Gonzalez-Juanatey, J.R., Vallejo-Baez, A., de la Torre-Prados, M.V., Nuevo-Ortega, P., Fernández-Porcel, A., Cámara-Sola, E., Tsvetanova-Spasova, T., Rueda-Molina, C., Salido-Díaz, L., 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Wang, H.H., Kang, P.L., Chen, H.L., Ho, C.K., Mar, G.Y., Liu, C.P., Grewal, S., Gopal, S., Corbett, C., Wilson, A., Capps, J., Ayoub, W., Lomas, A., Ghani, S., Moore, J., Atkinson, D., Sharman, M., Swinnen, W., Pauwels, J., Mignolet, K., Pannier, E., Koch, A., Sarens, T., Temmerman, W., Elmenshawy, A.M., Fayed, A.M., Elboriuny, M., Hamdy, E., Zakaria, E., Falk, A.C., Petosic, A., Olafsen, K., Wøien, H., Flaatten, H., Sunde, K., Agra, J.J.C., Cabrera, J.L.S., Santana, J.D.M., Alzola, L.M., Pérez, H.R., Pires, T.C., Calderón, H., Pereira, A., Castro, S., Granja, C., Norkiene, I., Urbanaviciute, I., Kezyte, G., Ringaitiene, D., Jovaisa, T., Vogel, G., Johansson, U.B., Sandgren, A., Svensen, C., Joelsson-Alm, E., Leite, M.A., Murbach, L.D., Osaku, E.F., Costa, C.R.L.M., Pelenz, M., Neitzke, N.M., Moraes, M.M., Jaskowiak, J.L., Silva, M.M.M., Zaponi, R.S., Abentroth, L.R.L., Ogasawara, S.M., Jorge, A.C., Duarte, P.A.D., Murbach, L.D., Leite, M.A., Osaku, E.F., Barreto, J., Duarte, S.T., Taba, S., Miglioranza, D., Gund, D.P., Lordani, C.F., Costa, C.R.L.M., Ogasawara, S.M., Jorge, A.C., Duarte, P.A.D., Vollmer, H., Gager, M., Waldmann, C., Mazzeo, A.T., Tesio, R., Filippini, C., Vallero, M.E., Giolitti, C., Caccia, S., Medugno, M., Tenaglia, T., Rosato, R., Mastromauro, I., Brazzi, L., Terragni, P.P., Urbino, R., Fanelli, V., Ranieri, V.M., Mascia, L., Ballantyne, J., Paton, L., Mackay, A., Perez-Teran, P., Roca, O., Ruiz-Rodriguez, J.C., Zapatero, A., Serra, J., Masclans, J.R., Bianzina, S., Cornara, P., Rodi, G., Tavazzi, G., Pozzi, M., Iotti, G.A., Mojoli, F., Braschi, A., Vishnu, A., Buche, D., Pande, R., Moolenaar, D.L.J., Bakhshi-Raiez, F., Dongelmans, D.A., de Keizer, N.F., de Lange, D.W., Fernández, I.F., Baño, D.M., Moreno, J.L.B., Rubio, R.J., Scott, J., Phelan, D., Morely, D., O'Flynn, J., Stapleton, P., Lynch, M., Marsh, B., Carton, E., O'Loughlin, C., Cheng, K.C., Sung, M.I., Elghonemi, M.O., Saleh, M.H., Meyhoff, T.S., Krag, M., Hjortrup, P.B., Perner, A., Møller, M.H., Öhman, T., Sigmundsson, T., Redondo, E., Hallbäck, M., Suarez-Sipmann, F., Björne, H., Sander, C.H., KARISMA, Cressoni, M., Chiumello, D., Chiurazzi, C., Brioni, M., Algieri, I., Guanziroli, M., Vergani, G., Tonetti, T., Tomic, I., Colombo, A., Crimella, F., Carlesso, E., Colombo, A., Gasparovic, V., Gattinoni, L., El-Sherif, R., Al-Basser, M.A., Raafat, A., El-Sherif, A., Simonis, F.D., Schouten, L.R.A., Cremer, O.L., Ong, D.S.Y., Amoruso, G., Cinnella, G., Schultz, M.J., Bos, L.D.J., Huber, W., Schmidle, P., Findeisen, M., Hoppmann, P., Jaitner, J., Brettner, F., Schmid, R.M., Lahmer, T., EXODUS-investigators, Festic, E., Rajagopalan, G., Bansal, V., Frank, R., Hinds, R., Levitt, J., United States Critical Illness and Injury Trials Group/LIPS-B investigators, Siddiqui, S., SICM NICER Group, Gilbert, J.P., Sim, K., Wang, C.H., Hu, H.C., Li, I.J., Tang, W.R., Kao, K.C., Persona, P., De Cassai, A., Franco, M., Facchin, F., Ori, C., Rossi, S., Goffi, A., Li, S.H., Hu, H.C., Chiu, L.C., Hung, C.Y., Chang, C.H., Kao, K.C., Ruiz, B.L., Varas, J.L., Montero, R.M., Delgado, C.P., Navarrete, O., Mezquita, M.V., Peces, E.A., Nakamura, M.A.M., Hajjar, L.A., Galas, F.R.B.G., Ortiz, T.A., Amato, M.B.P., Bitker, L., Costes, N., Le Bars, D., Lavenne, F., Mojgan, D., Richard, J.C., Chiurazzi, C., Cressoni, M., Massari, D., Guanziroli, M., Vergani, G., Gotti, M., Brioni, M., Algieri, I., Cadringher, P., Tonetti, T., Chiumello, D., Gattinoni, L., Zerman, A., Türkoğlu, M., Arık, G., Yıldırım, F., Güllü, Z., Kara, I., Boyacı, N., Aydoğan, B.B., Gaygısız, Ü., Gönderen, K., Aygencel, G., Aydoğdu, M., Ülger, Z., Gürsel, G., Riera, J., Toral, C.M., Mazo, C., Martínez, M., Baldirà, J., Lagunes, L., Roman, A., Deu, M., Rello, J., Levine, D.J., Mohus, R.M., Askim, Å., Paulsen, J., Mehl, A., Dewan, A.T., Damås, J.K., Solligård, E., Åsvold, B.O., Mid-Norway Sepsis Research Center, Paulsen, J., Askim, Å., Mohus, R.M., Mehl, A., DeWan, A., Solligård, E., Damås, J.K., Åsvold, 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S., Anthon, C.T., Müller, R.B., Haase, N., Møller, K., Hjortrup, P.B., Wetterslev, J., Perner, A., Nakanishi, M., Kuriyama, A., Fukuoka, T., Abd El Halim, M.A., Elsaid Hafez, M.H., Moktar, A.M., Eladawy, A., Elazizy, H.M., Hakim, K.A., Chaari, A., Elbahr, M., Ismail, M., Mahmoud, T., Kauts, V., Bousselmi, K., Khalil, E., Casey, W., Zaky, S.H., Rizk, A., Elghonemi, M.O., Ahmed, R., Vieira, J.C.F., Souza, R.B., Liberatore, A.M.A., Koh, I.H.J., Ospina-Tascón, G.A., Marin, A.F.G., Echeverry, G.J., Bermudez, W.F., Madriñan-Navia, H.J., Valencia, J.D., Quiñonez, E., Marulanda, A., Arango-Dávila, C.A., Bruhn, A., Hernandez, G., De Backer, D., Cortes, D.O., Su, F., Vincent, J.L., Creteur, J., Tullo, L., Mirabella, L., Di Molfetta, P., Cinnella, G., Dambrosio, M., Lujan, C.V., Irigoyen, J.L., Cartanya Ferré, M., García, R.C., Mukhtar, A., Ahmed, M., El Ayashi, M., Hasanin, A., Ayman, E., Salem, M., Eladawy, A., Fathy, S., Nassar, H., Zaghlol, A., Arzapalo, M.F.A., Valsø, Å., Sunde, K., Rustøen, 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Coloma-Gomez, B., Fernandez-Blanco, A., Braga-Dias, F., Treso-Geira, M., Valeiras-Valero, A., Martinez-Reyes, L., Sandiumenge, A., Jimenez-Herrera, M.F., CAPCRI Study, Prada, R., Juárez, P., Argandoña, R., Díaz, J.J., Ramirez, C.S., Saavedra, P., Santana, S.R., Obukhova, O., Kashiya, S., Kurmukov, I.A., Pronina, A.M., Simeone, P., Puybasset, L., Auzias, G., Coulon, O., Lesimple, B., Torkomian, G., Velly, L., Bienert, A., Bartkowska-Sniatkowska, A., Wiczling, P., Szerkus, O., Siluk, D., Bartkowiak-Wieczorek, J., Rosada-Kurasinska, J., Warzybok, J., Borsuk, A., Kaliszan, R., Grzeskowiak, E., Caballero, C.H., Roberts, S., Isgro, G., Hall, D., Guillaume, G., Passouant, O., Dumas, F., Bougouin, W., Champigneulle, B., Arnaout, M., Chelly, J., Chiche, J.D., Varenne, O., Mira, J.P., Marijon, E., Cariou, A., Beerepoot, M., Touw, H.R., Parlevliet, K., Boer, C., Elbers, P.W., Tuinman, P.R., Reina, Á.J.R., Palomo, Y.C., Bermúdez, R.M., Villén, L.M., García, I.P., Izurieta, J.R.N., Bernal, J.B.P., 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., de Haan, R.J., Juffermans, N.P., Vroom, M.B., Algarte, R., Martínez, L., Sánchez, B., Romero, I., Martínez, F., Quintana, S., Trenado, J., Sheikh, O., Pogson, D., Clinton, R., Riccio, F., Gemmell, L., MacKay, A., Arthur, A., Young, L., Sinclair, A., Markopoulou, D., Venetsanou, K., Filippou, L., Salla, E., Stratouli, S., Alamanos, I., Guirgis, A.H., Rodriguez, R.G., Lorente, M.J.F., Guarasa, I.M., Ukere, A., Meisner, S., Greiwe, G., Opitz, B., Benten, D., Nashan, B., Fischer, L., Trepte, C.J.C., Reuter, D.A., Haas, S.A., Behem, C.R., Tavazzi, G., Ana, B., Vazir, A., Gibson, D., Price, S., Masjedi, M., Hadavi, M.R., Alam, M.R., Sasani, M.R., Parenti, N., Agrusta, F., Palazzi, C., Pifferi, B., Sganzerla, R., Tagliazucchi, F., Luciani, A., Möller, M., Müller-Engelmann, J., Montag, G., Adams, P., Lange, C., Neuzner, J., Gradaus, R., Wodack, K.H., Thürk, F., Waldmann, A.D., Grässler, M.F., Nishimoto, S., Böhm, S.H., Kaniusas, E., Reuter, D.A., Trepte, C.J., Sigmundsson, T., Öhman, T., Redondo, E., Hallbäck, M., Wallin, M., Sipman, F.S., Oldner, A., Sander, C.H., Björne, H., Colinas, L., Hernandez, G., Vicho, R., Serna, M., Cuena, R., Canabal, A., ECOCRITIC group, Chaari, A., Hakim, K.A., Etman, M., El Bahr, M., El Sakka, A., Bousselmi, K., Arali, A., Kauts, V., Casey, W.F., Bond, O., De Santis, P., Iesu, E., Franchi, F., Vincent, J.L., Creteur, J., Scolletta, S., Taccone, F.S., Marutyan, Z., Hamidova, L., Shakotko, A., Movsisyan, V., Uysupova, I., Evdokimov, A., Petrikov, S., Gonen, C., Haftacı, E., Balci, C., Calvo, F.J.R., Bejarano, N., Baladron, V., Villazala, R., Redondo, J., Padilla, D., Villarejo, P., Akcan-Arikan, A., Kennedy, C.E., Arzapalo, M.F.A., Gomez-Gonzalez, C., Mas-Font, S., Puppo-Moreno, A., Herrera-Gutierrez, M., Garcia-Garcia, M., Aldunate-Calvo, S., NEFROCON Investigators, Plata-Menchaca, E.P., Pérez-Fernández, X.L., Estruch, M., Betbese-Roig, A., Campos, P.C., Lora, M.R., Gaibor, N.D.T., Medina, R.S.C., Sanguino, V.D.G., Casanova, E.J., Riera, 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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.).