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.

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. CRITICAL 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. CLINICAL INFECTIOUS DISEASES, 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. BIOMEDICAL SIGNAL PROCESSING AND 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. CRITICAL CARE EXPLORATIONS, 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., Zegre-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. NATURE MEDICINE, 29(7), 1804-+.Springer Nature. doi: 10.1038/s41591-023-02396-3.

Clermont, G. (2023). The Learning Electronic Health Record. CRITICAL CARE CLINICS, 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. APPLIED CLINICAL INFORMATICS, 14(04), 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.

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. (2023). Automatic Population of the Case Report Forms for an International Multifactorial Adaptive Platform Trial Amid the COVID-19 Pandemic. AMIA Joint Summits on Translational Science Proceedings, 2024, 276-284. 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. JOURNAL OF ELECTROCARDIOLOGY, 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. JOURNAL OF ELECTROCARDIOLOGY, 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. JOURNAL OF ELECTROCARDIOLOGY, 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. NEUROCRITICAL 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., Gomez, H., & Clermont, G. (2022). Identification of Clinical Phenotypes in Septic Patients Presenting With Hypotension or Elevated Lactate. FRONTIERS IN MEDICINE, 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). EUROPEAN HEART JOURNAL - DIGITAL 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. JOURNAL OF CLINICAL MEDICINE, 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 Annual Symposium Proceedings, 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. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 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 PURIFICATION, 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 Digital 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. JOURNAL OF CLINICAL MONITORING AND COMPUTING, 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, 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. JOURNAL OF THEORETICAL BIOLOGY, 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. CRITICAL 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., Al Beidh, F., Annane, D., Al Swaidan, L., 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. (2021). Lopinavir-ritonavir and hydroxychloroquine for critically ill patients with COVID-19: REMAP-CAP randomized controlled trial. INTENSIVE CARE MEDICINE, 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. CRITICAL CARE MEDICINE, 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. PHYSIOLOGICAL MEASUREMENT, 42(6), 065002.IOP Publishing. doi: 10.1088/1361-6579/abfc9b.

Linstrum, K., Montgomery, S., Basile, K., Stavor, D., Burbee, D., McNamara, A., Wunderley, R., Bensen, N., Richardson, A., Adams, P., Vita, T., Buhay, M., Scholl, D., Gilliam, M., Winters, J., Doherty, K., Berryman, E., Ghaffari, M., Fitzpatrick, M., Bagavathy, K., Hussain, M., Donadee, C., Brant, E., Bryan-Morris, K., Arnold, J., Reynolds, B., Beard, G., McVerry, B., Huang, D.T., Dunsavage, J., Saiyed, S., Hernandez, E., Goldman, J., Brown, C., Comp, S., Raczek, J., Morris, J.L., Vargas, J.J., Weiss, D., Hensley, J.W., Kochert, E., Wnuk, C., Nemeth, C., Mowery, B., Hutchinson, C., Winters, L., McCreary, E., Martin, E., Bariola, R., Viehman, A., Daley, J., Lopus, A., Schmidhofer, M., Sackrowitz, R., Skrtich, A., Minnier, T., Wisniewski, M.K., Mayak, K., Ambrosino, R., Keen, S., Della Toffalo, S., Stambaugh, M., Trimmer, K., Perri, R., Casali, S., Medva, R., Massar, B., Beyerl, A., Burkey, J., Keeler, S., Lowery, M., Oncea, L., Daugherty, J., Sevilla, C., Woelke, A., Dice, J., Weber, L., Roth, J., Ferringer, C., Beer, D., Fesz, J., Carpio, L., Malakouti, S., Music, E., Ricketts, D., King, A., Clermont, G., Bart, R., Marroquin, O., Quinn, K., Garrard, W., Kalchthaler, K., Angus, D., Weissman, A., Yealy, D., Barton, D., Talia, N., Mayr, F., Schoenling, A., Andreae, M., Shetty, V., Malley, B., Horvat, C., Seymour, C., Girard, T., Haidar, G., Bain, W., Barbash, I., Franz, C., Kitsios, G., Moghbeli, K., Rosborough, B., Shah, F., Suber, T., Lewis, R., Detry, M., McGlothlin, A., Saunders, C., Fitzgerald, M., Sanil, A., Berry, S., Buxton, M., Alexander, B., Roberts, T., Webb, S., Green, C., & McArthur, C. (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.

Maslove, D.M., Elbers, P.W.G., & Clermont, G. (2021). Artificial intelligence in telemetry: what clinicians should know. INTENSIVE CARE MEDICINE, 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. FRONTIERS IN MEDICINE, 8, 770343.Frontiers. doi: 10.3389/fmed.2021.770343.

Shah, F.A., Meyer, N.J., Angus, D.C., Awdish, R., Azoulay, E., 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. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 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. (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*. CRITICAL CARE MEDICINE, 49(6), E563-E577.Wolters Kluwer. doi: 10.1097/CCM.0000000000004916.

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. NEUROCRITICAL 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. (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-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 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. APPLIED CLINICAL INFORMATICS, 11(04), 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, 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. PHYSIOLOGICAL MEASUREMENT, 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. JOURNAL OF MEDICAL INTERNET RESEARCH, 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. ANESTHESIA AND ANALGESIA, 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. JOURNAL OF TRAUMA AND ACUTE CARE SURGERY, 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. CRITICAL 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. CRITICAL CARE MEDICINE, 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. JOURNAL OF BIOMEDICAL INFORMATICS, 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 NETWORK 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. JOURNAL OF THEORETICAL BIOLOGY, 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-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 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. Critical Care Explorations, 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. JOURNAL OF CLINICAL MONITORING AND COMPUTING, 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 Computational Biology, 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. JOURNAL OF CLINICAL MONITORING AND COMPUTING, 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. JOURNAL OF ELECTROCARDIOLOGY, 51(6), 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 Annual Symposium Proceedings, 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 ⁎ ⁎ Financial support for this work is provided by the US Department of Education Graduate Assistance in Areas of National Need fellowship program (P200A120195), the National Institute of Health (1K12HL109068-02, 1K08GM117310-01A1), the Vascular Medicine Institute, the Hemophilia Center of Western Pennsylvania, the Institute for Transfusion Medicine, and by the National Science Foundation and PITT STRIVE under Grant No. 1434012. IFAC-PapersOnLine, 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. CRITICAL CARE, 22(1), 223.Springer Nature. doi: 10.1186/s13054-018-2163-1.

Palmer, O.M.P., 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 ⁎ ⁎ Financial support for this work is provided by the US Department of Education Graduate Assistance in Areas of National Need fellowship program (P200A150050) and the National Institutes of Health, National Heart, Lung, and Blood Institute (R21-HL-133891). IFAC-PapersOnLine, 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 plus plus /Python implementation of Markov Chain Monte Carlo for parameter identification. COMPUTERS & CHEMICAL ENGINEERING, 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. CRITICAL CARE MEDICINE, 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. RESPIRATORY 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. ANNALS OF THE AMERICAN THORACIC SOCIETY, 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. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 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. (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. ANNALS OF THE AMERICAN THORACIC SOCIETY, 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 Joint Summits on Translational Science Proceedings, 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. CRITICAL CARE MEDICINE, 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. CRITICAL CARE, 21(1), 257.Springer Nature. doi: 10.1186/s13054-017-1836-5.

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A., Figueira, J., Yus, S., Garcia, A., Oglinda, A., Ciobanu, G., Oglinda, C., Schirca, L., Sertinean, T., Lupu, V., Kelly, P., O’Sullivan, A., Sweeney, L., MacLoughlin, R., O’Sullivan, A., Kelly, P., Sweeney, L., Mukeria, E., Wolny, M., MacLoughlin, R., Pagano, A., Numis, F., Visone, G., Saldamarco, L., Russo, T., Porta, G., Paladino, F., Bell, C., Liu, J., Debacker, J., Lee, C., Tamberg, E., Campbell, V., Mehta, S., Silva-Pinto, A., Sarmento, A., Santos, L., Kara, Ý., Yýldýrým, F., Zerman, A., Güllü, Z., Boyacý, N., Basarýk Aydogan, B., Gaygýsýz, Ü., Gönderen, K., Arýk, G., Turkoglu, M., Aydogdu, M., Aygencel, G., Ülger, Z., Gursel, G., Boyacý, N., Isýkdogan, Z., Özdedeoglu, Ö., Güllü, Z., Badoglu, M., Gaygýsýz, U., Aydogdu, M., Gursel, G., Kongpolprom, N., Sittipunt, C., Eden, A., Kokhanovsky, Y., Bursztein – De Myttenaere, S., Pizov, R., Neilans, L., MacIntyre, N., Radosevich, M., Wanta, B., Weber, V., Meyer, T., Smischney, N., Brown, D., Diedrich, D., Fuller, A., McLindon, P., Sim, K., Shoaeir, M., Noeam, K., Mahrous, A., Matsa, R., Ali, A., Dridi, C., Koubaji, S., Kamoun, S., Haddad, F., Ben Souissi, A., Laribi, B., Riahi, A., Mebazaa, M.S., Pérez-Calatayud, A., Carrillo-Esper, R., Zepeda-Mendoza, A., Diaz-Carrillo, M., Arch-Tirado, E., Carbognin, S., Pelacani, L., Zannoni, F., Agnoli, A., Gagliardi, G., Cho, R., Adams, A., Lunos, S., Ambur, S., Shapiro, R., Prekker, M., Thijssen, M., Janssen, L., Foudraine, N., Voscopoulos, C.J., Freeman, J., Voscopoulos, C.J., Freeman, J., George, E., Voscopoulos, C.J., Eversole, D., Freeman, J., George, E., Muttini, S., Bigi, R., Villani, G., Patroniti, N., Williams, G., Voscopoulos, C.J., Freeman, J., George, E., Waldmann, A., Böhm, S., Windisch, W., Strassmann, S., Karagiannidis, C., Waldmann, A., Böhm, S., Windisch, W., Strassmann, S., Karagiannidis, C., Karagiannidis, C.K., Waldmann, A.W., Böhm, S.B., Strassmann, S., Windisch, W.W., Persson, P., Lundin, S., Stenqvist, O., Porta, G., Numis, F., Serra, C.S., Pagano, A.P., 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Corte, F., Grasso, S., Casolari, P., Caramori, G., Volta, C., Andrianjafiarinoa, T., Randriamandrato, T., Rajaonera, T., El-Dash, S., Costa, E.L.V., Tucci, M.R., Leleu, F., Kontar, L., De Cagny, B., Brazier, F., Titeca, D., Bacari-Risal, G., Maizel, J., Amato, M., Slama, M., Mercado, P., Maizel, J., Kontar, L., Titeca, D., Brazier, F., Riviere, A., Joris, M., Soupison, T., De Cagny, B., El Dash, S., Slama, M., Remmington, Fischer, A., Squire, S., Boichat, M., Honzawa, H., Yasuda, H., Adati, T., Suzaki, S., Horibe, M., Sasaki, M., Sanui, M., Marinho, R., Daniel, J., Miranda, H., Marinho, A., Milinis, K., Cooper, M., Williams, G.R., McCarron, E., Simants, S., Patanwala, I., Welters, I., Su, Y., Fernández Villanueva, J., Fernández Garda, R., López Lago, A., Rodríguez Ruíz, E., Hernández Vaquero, R., Tomé Martínez de Rituerto, S., Varo Pérez, E., Lefel, N., Schaap, F., Bergmans, D., Olde Damink, S., Van de Poll, M., Tizard, K., Lister, C., Poole, L., Ringaitiene, D., Gineityte, D., Vicka, 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García-Alcántara, A., Tavladaki, T., Spanaki, A.M., Dimitriou, H., Kondili, E., Choulaki, C., Meleti, D.E., Kafetzopoulos, D., Georgopoulos, D., Briassoulis, G., Suberviola, B., Riera, J., Rellan, L., Sanchez, M., Robles, J.C., Lopez, E., Vicente, R., Miñambres, E., Santibañez, M., Le Guen, M., Moore, J., Mason, N., Windpassinger, M., Plattner, O., Mascha, E., Sessler, D.I., Research, O., Melia, U., Fontanet, J., van den Berg, J.P., Struys, M.M.R.F., Vereecke, H.E.M., Jensen, E.W., Rood, P.J.T., van de Schoor, F., van Tertholen, K., Pickkers, P., van den Boogaard, M., Beardow, Z.J., Redhead, H., Paramasivam, K., Numan, T., van den Boogaard, M., Kamper, A.M., Rood, P., Peelen, L.M., Zeman, P.M., Slooter, A.J., van Ewijk, C.E., Jacobs, G.E., Girbes, A.R.J., Myatra, S.N., Harish, M.M., Prabu, N.R., Siddiqui, S., Kulkarni, A.P., Divatia, J.V., Murbach, L.D., Leite, M.A., 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., Hernández-Sánchez, N., Sánchez-Hurtado, L.A., García-Guillen, F.J., Ñamendys-Silva, S.A., Maghsoudi, B., Emami, M., Khosravi, M.B., Zand, F., Tabatabaie, H.R., Masjedi, M., Sabetiyan, G., Mokri, A., Nurses of the Central and General ICUs of Shiraz Namazi Hospital, Troubleyn, J., Diltoer, M., Jacobs, R., Nguyen, D.N., De Waele, E., De Regt, J., Honoré, P.M., Van Gorp, V., Spapen, H.D., Contreras, R.S., Toapanta, N.D., Moreno, G., Sabater, J., Torrado, H., Gonzalez, M., Marin, M., Farigola, E., Gonzalez, A., Fernandez, J., Vera, A., Gisbert, X., Juliá, C., Uya, J., Corral, L., Sedation an Delirium Group Hospital Universitari de Bellvitge, Elias-Jones, I., Gemmell, L., MacKay, A., Randall, D., Adwaney, A., Blunden, M., Prowle, J.R., Kirwan, C.J., Thomas, N., Martin, A., Owen, H., Darwin, L., Conway, D., Atkinson, D., Sharman, M., Moore, J., Barbanti, C., Amour, J., Gaudard, P., Rozec, B., Mauriat, P., M’rini, M., Leger, P.L., Cambonie, G., Liet, J.M., Girard, C., Laroche, S., Damas, P., Assaf, Z., Loron, G., Lecourt, L., Pouard, P., Randall, D., Adwaney, A., Blunden, M., Prowle, J.R., Kirwan, C.J., Kim, S.H., Na, S., Kim, J., Oh, S.Y., Jung, C.W., Yoo, S.H., Min, S.H., Chung, E.J., Lee, H., Lee, N.J., Lee, K.W., Suh, K.S., Ryu, H.G., Marshall, D.C., Goodson, R.J., Salciccioli, J.D., Shalhoub, J., Potter, E.K., Kirk-Bayley, J., Karanjia, N.D., Forni, L.G., Creagh-Brown, B.C., Bossy, M., Nyman, M., Tailor, A., Creagh-Brown, B., SPACeR group (Surrey Peri-operative, Anaesthesia and Critical Care Collaborative Research Group), D’Antini, D., Spadaro, S., Valentino, F., Sollitto, F., Cinnella, G., Mirabella, L., Calvo, F.J.R., Bejarano, N., Padilla, D., Baladron, V., Villajero, P., Villazala, R., Redondo, J., Yuste, A.S., Liu, J., Shen, F., Teboul, J.L., Anguel, N., Beurton, A., Bezaz, N., Richard, C., Monnet, X., Fossali, T., Colombo, R., Ottolina, D., Rossetti, M., Mazzucco, C., Marchi, A., Porta, A., Catena, E., Tollisen, K.H., Andersen, G.Ø., Heyerdahl, F., Jacobsen, D., de Waard, M.C., Girbes, A.R.J., van IJzendoorn, M.C.O., Buter, H., Kingma, W.P., Navis, G.J., Boerma, E.C., Rulisek, J., Balik, M., Zacharov, S., Kim, H.S., Jeon, S.J., Namgung, H., Lee, E., Lee, E., Cho, Y.J., Lee, Y.J., Huang, A., Cioccari, L., Luethi, N., Mårtensson, J., Bellomo, R., Forsberg, M., Edman, G., Höjer, J., Forsberg, S., Freile, M.T.C., Hidalgo, F.N., Molina, J.A.M., Lecumberri, R., Rosselló, A.F., Travieso, P.M., Leon, G.T., Sanchez, J.G., Frias, L.S., Rosello, D.B., Verdejo, J.A.G., Serrano, J.A.N., Winterwerp, D., van Galen, T., Vazin, A., Karimzade, I., Zand, A., Ozen, E., Ekemen, S., Akcan, A., Sen, E., Yelken, B.B., Kureshi, N., Fenerty, L., Thibault-Halman, G., Erdogan, M., Walling, S., Green, R.S., Clarke, D.B., Briassoulis, P., Kalimeris, K., Ntzouvani, A., Nomikos, T., Papaparaskeva, K., Politi, E., Kostopanagiotou, G., Crewdson, K., Rehn, M., Weaver, A., Brohi, K., Lockey, D., Wright, S., Thomas, K., Baker, C., Mansfield, L., Stafford, V., Wade, C., Watson, G., Bryant, A., Chadwick, T., Shen, J., Wilkinson, J., Furneval, J., Henderson, A., Hugill, K., Howard, P., Roy, A., Bonner, S., Baudouin, S., Ramírez, C.S., Escalada, S.H., Viera, M.A.H., Santana, M.C., Balcázar, L.C., Monroy, N.S., Campelo, F.A., Vázquez, C.F.L., Santana, P.S., Santana, S.R., Carteron, L., Patet, C., Quintard, H., Solari, D., Bouzat, P., Oddo, M., Wollersheim, T., Malleike, J., Haas, K., Carbon, N., Schneider, J., Birchmeier, C., Fielitz, J., Spuler, S., Weber-Carstens, S., Enseñat, L., Pérez-Madrigal, A., Saludes, P., Proença, L., Gruartmoner, G., Espinal, C., Mesquida, J., Huber, W., Eckmann, M., Elkmann, F., Gruber, A., Lahmer, T., Mayr, U., Herner, A., Schellnegger, R., Schneider, J., Schmid, R.M., Ayoub, W., Samy, W., Esmat, A., Battah, A., Mukhtar, S., Mongkolpun, W., Cortés, D.O., Cordeiro, C.P.R., Vincent, J.L., Creteur, J., Funcke, S., Groesdonk, H., Saugel, B., Wagenpfeil, G., Wagenpfeil, 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., for the 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., The 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, İ., 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., 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Renuka, M.K., Arunkumar, A.S., Lozano, A., Lheureux, O., Badenes, R., Vincent, J.L., Creteur, J., Taccone, F.S., Gallaher, C., Cattlin, S., Gordon, S., Picard, J., Fontana, V., Bond, O., Nobile, L., Vincent, J.L., Creteur, J., Taccone, F.S., Mrozek, S., Delamarre, L., Capilla, F., Al-Saati, T., Fourcade, O., Geeraerts, T., Dominguez-Berrot, A.M., Gonzalez-Vaquero, M., Vallejo-Pascual, M.E., Gupta, D., Ivory, B.D., Chopra, M., McCarthy, J., Felderhof, C.L., MacNeil, C., Rubulotta, F., Waldauf, P., Maggiorini, M., Duska, F., on behalf of Department of Professional Development, ESICM, Fumis, R.R.L., Junior, J.M.V., Amarante, G., Skorko, A., Sanders, S., Aron, J., Kroll, R.J., Redfearn, C., Krishnan, P., Khalil, J.E., Kovari, F., Kongpolprom, N., Gulia, V., Lourenço, E., Melão, L., Duro, C., Baptista, G., Alves, A., Arminda, B., Rodrigues, M., Marreiros, A., Granja, C., Hayward, J., Baldwin, F., Gray, R., Katinakis, P.A., Stijf, M., Ten Kleij, M., Jansen-Frederiks, M., Broek, R., de Bruijne, M., Spronk, P.E., Sinha, K., Luney, M., Palmer, K., Keating, L., Abu-Habsa, M., Bahl, R., Baskaralingam, N., Ahmad, A., Kanapeckaite, L., Bhatti, P., Glace, S., Jeyabraba, S., Lewis, H.F., Kostopoulos, A., Raja, M., West, A., Ely, A., Turkoglu, L.M., Zolfaghari, P., Baptista, J.P., Marques, M.P., Martins, P., Pimentel, J., Gupta, D., Su, Y.C., Villacres, S., Stone, M.E., Parsikia, A., Medar, S., O’Dea, K.P., Porter, J., Tirlapur, N., Jonathan, J.M., Singh, S., Takata, M., Critical Care Research Group, Abu-Habsa, M., Ahmad, A., McWhirter, E., Lyon, R., Hariz, M.L., Azmi, E., Alkhan, J., Honeybul, S., Movsisyan, V., Petrikov, S., Marutyan, Z., Aliev, I., Evdokimov, A., Antonucci, E., Merz, T., Hartmann, C., Pelosi, P., Calzia, E., Radermacher, P., Nußbaum, B., Hartmann, C., Huber-Lang, M., Gröger, M., Radermacher, P., Nußbaum, B., Nußbaum, B., Antonucci, E., Calzia, E., Pelosi, P., Radermacher, P., Hartmann, C., Svoren-Jabalera, E., Davenport, E.E., Humburg, P., Knight, J., Hinds, C.J., Jun, I.J., Kim, W.J., Lee, E.H., Besch, G., Perrotti, A., Puyraveau, M., Carteron, L., Baltres, M., Samain, E., Chocron, S., Pili-Floury, S., Plata-Menchaca, E.P., Sabater-Riera, J., Estruch, M., Boza, E., Sbraga, F., Toscana-Fernández, J., Bruguera-Pellicer, E., Ordoñez-Llanos, J., Pérez-Fernández, X.L., SIRAKI group, Cavaleiro, P., Tralhão, A., Arrigo, M., Lopes, J.P., Lebrun, M., Cholley, B., PerezVela, J.L., MarinMateos, H., Rivera, J.J.J., Llorente, M.A.A., De Marcos, B.G., Fernandez, F.J.G., Laborda, C.G., Zamora, D.F., Grupo ESBAGA, Delgado, J.C.L., Imperiali, C., Berbel-Franco, D., Dastis, M., Moreno-Gonzalez, G., Perez-Sanchez, J., Romera-Peregrina, I., Abellan-Lencina, R., Martinez-Pascual, A., Fuentes-Mila, V., Gonzalez-Romero, M., Górka, J., Górka, K., Iwaniec, T., Frołow, M., Polok, K., Fronczek, J., Kózka, M., Musiał, J., Szczeklik, W., 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., Ampatzidou, F., Sileli, M., Kehagioglou, G., Madesis, A., Karaiskos, T., Moursia, C., Maleoglou, H., Leleki, K., Drossos, G., Uz, Z., Ince, Y., Papatella, R., Bulent, E., Guerci, P., Ince, C., De Mol, B., Vicka, V., Gineityte, D., Ringaitiene, D., Norkiene, I., Sipylaite, J., Möller, C., Fleischmann, C., Thomas-Rueddel, D.O., Vlasakov, V., Rochwerg, B., Theurer, P., Gattinoni, L., Reinhart, K., Hartog, C.S., Pérez, A.G., Al Sibai, J.Z., Camblor, P.M., Fernandez, P.A., Gala, J.M.G., Guisasola, J.S., Albaiceta, G.M., Tamura, T., Yatabe, T., Miyajima, I., Yamashita, K., Yokoyama, M., Ampatzidou, F., Kehagioglou, G., Dalampini, E., Nastou, M., Baddour, A., Ignatiadis, A., Asteri, T., Drossos, G., Hathorn, K.E., Purtle, S.W., Horkan, C.M., Gibbons, F.K., Christopher, K.B., Viana, M.V., Tonietto, T.A., Gross, L.A., Costa, V.L., Tavares, A.L.J., Lisboa, B.O., Moraes, R.B., Vieira, S.R., Viana, L.V., Azevedo, M.J., Ceniccola, G.D., Pequeno, R.S.F., Holanda, T.P., Mendonça, V.S., Araújo, W.M.C., Carvalho, L.S.F., Segaran, E., Vickers, L., Brinchmann, K., Wignall, I., Rubulotta, F., De Brito-Ashurst, I., del Olmo, R., Esteban, M.J., Vaquerizo, C., Carreño, R., Gálvez, V., Kaminsky, G., Nieto, B., Fuentes, M., De la Torre, M.A., Torres, E., Alonso, A., Velayos, C., Saldaña, T., Escribá, A., GRIP, J., Kölegård, R., Sundblad, P., Rooyackers, O., Naser, B., Jaziri, F., Jazia, A.B., Barghouth, M., Hentati, O., Skouri, W., El Euch, M., Mahfoudhi, M., Turki, S., Abdelghni, K.B., Abdallah, B., Maha, B.N.M., Cánovas, J., Sotos, F., López, A., Lorente, M., Burruezo, A., Torres, D., Polok, K., Włudarczyk, A., Górka, J., Hałek, A., Musiał, J., Szczeklik, W., Jazia, A.B., Jaziri, F., Bargouth, M., Bennasr, M., Turki, S., Abdelghani, K.B., Abdallah, T.B., de Grooth, H.J., Geenen, I.L., Parienti, J.J., Straaten, H.M.O.V., Shum, H.P., King, H.S., Chan, K.C., Yan, W.W., Londoño, J.G., Cardenas, C.L., Pedrosa, M.M., Gubianas, C.M., Bertolin, C.F., Batllori, N.V., Sirvent, J.M., Wykes, K., Jack, J., Morgan, P., Mukhopadhyay, A., Chan, H.Y., Kowitlawakul, Y., Remani, D., Leong, C.S.F., Henry, C.J., Puthucheary, Z.A., Mendsaikhan, N., Begzjav, T., Lundeg, G., Dünser, M., Espinoza, E.D.V., Welsh, S.P., Motta, M.F., Guerra, E., Zerpa, M.C.L., Zechner, F., Furche, M., Berdaguer, F., Birri, P.N.R., Risso-Vazquez, A., Dubin, A., Masevicius, F.D., Greaney, D., Magee, A., Fitzpatrick, G., Lugo-Cob, R.G., Sánchez-Hurtado, L.A., Arvizu-Tachiquín, P.C., Tejeda-Huezo, B.C., Cano-Oviedo, A.A., Baltazar-Torres, J.A., Aydogan, M.S., Togal, T., Taha, A., Chai, H.Z., Kam, C., Razali, S.S.Y., Sivasamy, V., Kuan, L.Y., Poulose, V., Morales, M.A.L., Castro, S., Pires, T., Melão, L., Krystopchuk, A., Pereira, I., Granja, C., Taniguchi, L.U., Pires, E.M.C., Vieira, J.M., & Azevedo, L.C.P. (2016). ESICM LIVES 2016: part two. Intensive Care Medicine Experimental, 4(Suppl 1), 30.Springer Nature. doi: 10.1186/s40635-016-0099-9.

Zhang, L.A., Parker, R.S., Swigon, D., Banerjee, I., Bahrami, S., Redl, H., & Clermont, G. (2016). A One-Nearest-Neighbor Approach to Identify the Original Time of Infection Using Censored Baboon Sepsis Data. CRITICAL CARE MEDICINE, 44(6), E432-E442.Wolters Kluwer. doi: 10.1097/CCM.0000000000001623.

Chen, L., Dubrawski, A., Clermont, G., Hravnak, M., & Pinsky, M.R. (2015). Modelling Risk of Cardio-Respiratory Instability as a Heterogeneous Process. AMIA Annual Symposium Proceedings, 2015, 1841-1850.

Clermont, G., & Zenker, S. (2015). The inverse problem in mathematical biology. MATHEMATICAL BIOSCIENCES, 260, 11-15.Elsevier. doi: 10.1016/j.mbs.2014.09.001.

Holder, A.L., & Clermont, G. (2015). Using What You Get Dynamic Physiologic Signatures of Critical Illness. CRITICAL CARE CLINICS, 31(1), 133-+.Elsevier. doi: 10.1016/j.ccc.2014.08.007.

Kellum, J.A., Sileanu, F.E., Murugan, R., Lucko, N., Shaw, A.D., & Clermont, G. (2015). Classifying AKI by Urine Output versus Serum Creatinine Level. JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 26(9), 2231-2238.Wolters Kluwer. doi: 10.1681/ASN.2014070724.

Malkin, A.D., Sheehan, R.P., Mathew, S., Federspiel, W.J., Redl, H., & Clermont, G. (2015). A Neutrophil Phenotype Model for Extracorporeal Treatment of Sepsis. In Tan, K. (Ed.). PLOS COMPUTATIONAL BIOLOGY, 11(10), e1004314.Public Library of Science (PLoS). doi: 10.1371/journal.pcbi.1004314.

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. JOURNAL OF THEORETICAL BIOLOGY, 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. CLINICAL JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 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. JOURNAL OF THEORETICAL BIOLOGY, 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. (2014). Intensive Care Unit Readmission during Childhood after Preterm Birth with Respiratory Failure. JOURNAL OF PEDIATRICS, 164(4), 749-U110.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., Singbart, 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. CRITICAL 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., Horvat, C.H., Clermont, G., Upperman, J., Vodovotz, Y., & Yotov, I. (2013). A three-dimensional mathematical and computational model of necrotizing enterocolitis. JOURNAL OF THEORETICAL BIOLOGY, 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 MEDICINE, 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. JOURNAL OF BIOMEDICAL INFORMATICS, 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.R. (2013). ARTIFACT PATTERNS IN CONTINUOUS NONINV ASIVE MONETORENC OF PATIENTS. INTENSIVE CARE MEDICINE, 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. PACE-PACING AND CLINICAL ELECTROPHYSIOLOGY, 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. CRITICAL 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?. CRITICAL CARE MEDICINE, 40(2), 654-655.Wolters Kluwer. doi: 10.1097/CCM.0b013e318240fa3e.

Gomez, 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?. JOURNAL OF SURGICAL RESEARCH, 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., Rimmele, 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 INTERNATIONAL, 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 Computational Biology, 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.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 COMPUTATIONAL BIOLOGY, 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.J., Bernard, G.R., Thompson, B.T., Wheeler, A.P., & Angus, D.C. (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.

Yen-Lan, N., 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. CRITICAL CARE MEDICINE, 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. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 7(4), 739-763.American Institute of Mathematical Sciences (AIMS). doi: 10.3934/mbe.2010.7.739.

Donze, A., Clermont, G., & Langmead, C.J. (2010). Parameter Synthesis in Nonlinear Dynamical Systems: Application to Systems Biology. JOURNAL OF COMPUTATIONAL BIOLOGY, 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^†. INTERNATIONAL JOURNAL FOR QUALITY IN 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. JOURNAL OF THE ROYAL SOCIETY INTERFACE, 7(48), 989-1013.The Royal Society. doi: 10.1098/rsif.2009.0517.

Peng, Z., Singbartl, K., Simon, P., Rimmele, T., Bishop, J., Clermont, G., & Kellum, J.A. (2010). Blood Purification in Sepsis: A New Paradigm. CARDIORENAL SYNDROMES IN CRITICAL CARE, 165, 322-328.Karger Publishers. doi: 10.1159/000313773.

Reynolds, A., Ermentrout, G.B., & Clermont, G. (2010). A mathematical model of pulmonary gas exchange under inflammatory stress. JOURNAL OF THEORETICAL BIOLOGY, 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. CARDIORENAL SYNDROMES IN CRITICAL CARE, 165, 284-291.Karger Publishers. doi: 10.1159/000313768.

Whitcomb, D.C., Muddana, V., Langmead, C.J., Houghton, F.D.J., 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. AMERICAN JOURNAL OF GASTROENTEROLOGY, 105(10), 2287-2292.Wolters Kluwer. doi: 10.1038/ajg.2010.183.

Zavada, J., Hoste, E., Cartin-Ceba, R., Calzavacca, P., Gajic, O., Clermont, G., Bellomo, R., & Kellum, J.A. (2010). A comparison of three methods to estimate baseline creatinine for RIFLE classification. NEPHROLOGY DIALYSIS TRANSPLANTATION, 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 MEDICINE, 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. Journal of Critical 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-α 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.

Tegner, 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 SYSTEMS BIOLOGY, 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. (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. EUROPEAN JOURNAL OF ANAESTHESIOLOGY, 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. JOURNAL OF CRITICAL 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. JOURNAL OF THEORETICAL BIOLOGY, 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. CRITICAL CARE MEDICINE, 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. JOURNAL OF CRITICAL CARE, 22(2), 169-175.Elsevier. doi: 10.1016/j.jcrc.2006.12.011.

Clermont, G. (2007). Modeling longitudinal data in acute illness. CRITICAL 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 Discovery Today Disease 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. JOURNAL OF THEORETICAL BIOLOGY, 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. CRITICAL CARE MEDICINE, 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. (2007). Implementation of early goal-directed therapy for severe sepsis and septic shock: A decision analysis. CRITICAL CARE MEDICINE, 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. CRITICAL CARE MEDICINE, 35(1), 165-176.Wolters Kluwer. doi: 10.1097/01.CCM.0000251505.76026.CF.

Mi, Q., Riviere, 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-β1. WOUND REPAIR AND REGENERATION, 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. GASTROENTEROLOGY CLINICS OF NORTH AMERICA, 36(2), 277-+.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 enterocotitis a new took at an ongoing problem. JOURNAL OF PEDIATRIC SURGERY, 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. JOURNAL OF CRITICAL 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. JOURNAL OF TRAUMA-INJURY INFECTION AND CRITICAL CARE, 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 COMPUTATIONAL BIOLOGY, 3(11), 2072-2086.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. (2006). Healthcare costs and long-term outcomes after acute respiratory distress syndrome: A phase III trial of inhaled nitric oxide. CRITICAL CARE MEDICINE, 34(12), 2885-2890.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. JOURNAL OF THEORETICAL BIOLOGY, 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. JOURNAL OF ADVANCED NURSING, 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. CRITICAL 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., T Rahim, M., & Angus, D.C. (2006). Predicting late anemia in critical illness. CRITICAL CARE, 10(1), r39.Springer Nature. doi: 10.1186/cc4847.

Prince, J.M., Levy, R.M., Bartels, J., Baratt, A., Kane, J.M.I.I.I., 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. MOLECULAR MEDICINE, 12(4-6), 88-96.Springer Nature. doi: 10.2119/2006-00012.Prince.

Reynolds, A., Rubin, J., Clermont, G., Day, J., Vodovotz, Y., & Ermentrout, G.B. (2006). A reduced mathematical model of the acute inflammatory response: I. Derivation of model and analysis of anti-inflammation. JOURNAL OF THEORETICAL BIOLOGY, 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., Illiar, 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. CRITICAL CARE, 9(2), 153-154.Springer Nature. doi: 10.1186/cc3507.

Clermont, G., & Neugebauer, E.A.M. (2005). Systems biology and translational research. JOURNAL OF CRITICAL 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. CRITICAL CARE MEDICINE, 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. DIGESTIVE DISEASES AND SCIENCES, 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.

Clermont, G., Bartels, J., Kumar, R., Constantine, G., Vodovotz, Y., & Chow, C. (2004). In silico design of clinical trials:: A method coming of age. CRITICAL CARE MEDICINE, 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., Van Hout, B., & Angus, D.C. (2004). Dynamic microsimulation to model multiple outcomes in cohorts of critically ill patients. INTENSIVE CARE MEDICINE, 30(12), 2237-2244.Springer Nature. doi: 10.1007/s00134-004-2456-5.

Clermont, G., Pinsky, M.R., & Angus, D.C. (2004). Let's be splitters, rather than "lumpers" - Reply. CRITICAL CARE MEDICINE, 32(6), 1440-1441.Wolters Kluwer. doi: 10.1097/01.CCM.0000128967.92072.40.

Hansen, T.W.R., Field, D., Normand, C., Elbourne, D., Angus, D.C., Clermont, G., Watson, R.S., & Linde-Zwirble, W.T. (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, S., & Angus, D.C. (2004). Comparison of Cox and Gray's survival models in severe sepsis. CRITICAL CARE MEDICINE, 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. JOURNAL OF THEORETICAL BIOLOGY, 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 (PROMSS) trial. CRITICAL CARE MEDICINE, 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. Current Opinion in Critical 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. (2003). Cost-effectiveness of drotrecogin alfa (activated) in the treatment of severe sepsis. CRITICAL CARE MEDICINE, 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. CRITICAL CARE MEDICINE, 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?. ARCHIVES OF INTERNAL MEDICINE, 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. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 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. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 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 INTERNATIONAL, 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. American Journal of Respiratory and Critical Care Medicine, 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. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 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. CRITICAL CARE MEDICINE, 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. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 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. CRITICAL CARE MEDICINE, 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. CRITICAL CARE MEDICINE, 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. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 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. Annals, Academy of Medicine, Singapore, 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. CRITICAL CARE CLINICS, 13(2), 389-&.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.).