Search Results - "Clermont, G."

A comparison of three methods to estimate baseline creatinine for RIFLE classification by ZAVADA, Jakub, HOSTE, Eric, CARTIN-CEBA, Rodrigo, CALZAVACCA, Paolo, GAJIC, Ognjen, CLERMONT, Gilles, BELLOMO, Rinaldo, KELLUM, John A

“…A pre-morbid 'baseline' creatinine is required in order to diagnose and stage acute kidney injury (AKI) using the RIFLE classification. Estimation of baseline…”
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Three-year results from a preclinical implantation study of a long-term resorbable surgical mesh with time-dependent mechanical characteristics by Hjort, H., Mathisen, T., Alves, A., Clermont, G., Boutrand, J. P.

“…Purpose The purpose of this study was to evaluate the biocompatibility, local tissue effects and performance of a synthetic long-term resorbable test mesh…”
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Progression of a supra-valvular aortic stenosis in adulthood during 13 years by Clermont, G., Friart, A., Huynh, C.-H., Antoine, M.

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Defect chemistry to trigger zirconia densification at low temperatures by Spark Plasma Sintering by Martin, E., Chung, U.C., Duttine, M., Dourges, M.A., Clermont, G., Labrugère, C., Fourcade, S., Michau, D., Estournès, C., Hérisson de Beauvoir, T., Mauvy, F., Jubera, V., Maglione, M., Goglio, G., Elissalde, C.

“…In-depth control of reactivity and defects chemistry is shown to be mandatory to reach high density YSZ ceramics at sintering temperatures lower than 900°C…”
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Quality-adjusted survival in the first year after the acute respiratory distress syndrome by ANGUS, Derek C, MUSTHAFA, Amjad A, CLERMONT, Gilles, GRIFFIN, Martin F, LINDE-ZWIRBLE, Walter T, DREMSIZOV, Tony T, PINSKY, Michael R

“…There is little information on long-term outcome after acute respiratory distress syndrome (ARDS). We measured quality-adjusted survival in the first year…”
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Does advanced treatment of existing physiologic data allow for earlier detection of occult hemorrhage? by Holder, A.L, Guillame-Bert, M, Chen, K, Huggins, P, Dubrawski, A, Hravnak, M, Pinsky, M.R, Clermont, G

“…Results At a fixed number of false-positive alerts of bleeding (per 100 minutes), we were able to detect hemorrhage after 87.0 mL of blood lost, or 4.35…”
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Detection of hemorrhage by analyzing shapes of the arterial blood pressure waveforms by Romero Zambrano, S, Guillame-Bert, M, Dubrawski, A, Clermont, G, Pinsky, MR

“…Issue Title: ESICM LIVES 2015…”
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Sepsis Endotypes Defined By Cytokine Trajectory Analysis by Zhu, L, Pike, F, Zhang, LA, Parker, RS, Mochan-Keef, ED, Swigon, D, Clermont, G

“…Issue Title: ESICM LIVES 2015…”
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Forecasting escalation of cardio-respiratory instability using noninvasive vital sign monitoring data by Guillame-Bert, M, Dubrawski, A, Chen, L, Hravnak, MT, Clermont, G, Pinsky, MR

“…Issue Title: ESICM LIVES 2015…”
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Abdominal Wall: Register & Miscellaneous by Alves, A., Gritsch, K., Villle, V., Drevon-Gaillotl, E., Bayon, Y., Clermont, G., Boutrand, J. P., Grosgogea, B., Cox, T., Huntington, C., Blair, L., Prasad, T., Augenstein, V., Heniford, B. T., Lalán, J. Goderich, Vázquez, L. Luna, Di Marzo, F., Ipponi, P. L., Marioni, A., Felicioni, L., Pieralli, F., Sergi, A., Forni, S., Darienzo, S., Vannucci, A., Reinpold, W., Samartsev, V. A., Gavrilov, V. A., Parshakov, A. A., Chistyakova, D. M., Sidorenko, A. Y., Dietz, U., Kyle-Leinhase, I., Muysoms, F., Asti, E., Sironi, A., Bonavina, L., Rogmark, P.

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Mesh & Prosthesis by Ferzoco, S., Clara, E. Sta, Tang, S. W., Hu, J., Tan, W. B., Shabbir, A., Lomanto, D., Etherson, K., Atkinson, K., Khan, S., Gwiti, P., Viswanath, Y., Munipalle, P. C., Berrevoet, F., Dhondt, L., Vanlander, A., Matos-Azevedo, A. M., Fatás Cabeza, J. A., Zaragoza-Fernández, C., Marín, J., Navarro, F., Rose, B., Morfesis, F., Armstrong, N., Das Mohapatra, S., O’Hara, J., Camp, C., Hughes, D., Windsor, A. C. J., Blair, L., Cox, T., Huntington, C., Oommen, B., Kim, M., Lincourt, A., Augenstein, V., Heniford, T., Srivastava, K., Martindale, R., Scott, J., Rosen, M., Ray, D., Bossi, M., Tabbara, M., Carandina, S., Polliand, C., Barrat, C., Berta, R., Wong, C., Yang, P. C., Cheung, P. P., Chung, T. M., Chan, C. Y., Lai, C. H., Tang, C. N., Li, K. W., Shen, Y. M., Li, Q., Chen, J., Sun, L., Chen, F. Q., Sharma, M., Satija, N., Mitura, K., Garnysz, K., Skolimowska-Rzewuska, M., Wyrwas, K., Kumar, S., Lee, S., Alves, A., Pompee, C., Chirat, S., Drevon-Gaillot, E., Clermont, G., Tung, K., Yang, G.

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Semi automated adjudication of vital sign alerts in step-down units by Fiterau, M, Dubrawski, A, Wang, D, Chen, L, Guillame-Bert, M, Hravnak, M, Clermont, G, Bose, E, Holder, A, Murat Kaynar, A, Wallace, D, Pinsky, MR

“…Issue Title: ESICM LIVES 2015…”
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Machine learning can classify vital sign alerts as real or artifact in online continuous monitoring data by Hravnak, M, Chen, L, Dubrawski, A, Wang, D, Bose, E, Clermont, G, Kaynar, AM, Wallace, D, Holder, A, Pinsky, MR

“…Issue Title: ESICM LIVES 2015…”
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Towards a model-based medicine: integration of probabilistic inference with mechanistic knowledge by Zenker, S., Rubin, J., Clermont, G.

“…[...]the proposed methodology might in principle be developed into a fully quantitative and validated framework for medical diagnosis and decision making in…”
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Modeling the effect of acute inflammation on gas exchange by Reynolds, A.M., Clermont, G., Bard Ermentrout, G.

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A dynamical model of influenza A virus infection: clinical and epidemiological relevance by Hancioglu, B., Clermont, G., Swigon, D.

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An ensemble of models of the acute inflammatory response by Daun, S, Rubin, J, Roy, A, Kellum, J, Parker, R, Clermont, G

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Modulating inflammation using nonlinear model predictive control by Day, J.D., Rubin, J., Florian, J., Parker, R.P., Clermont, G.

“…The advantage of this approach over other control algorithms is that it combines both a prediction of the future state of the system from a mathematical model…”
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Pathogen dissemination in health care facilities: what to do when traditional assumptions fail by Hotchkiss, J.R., Strike, D.G., Clermont, G., Crooke, P.S.

“…[...]spatial heterogeneity can dramatically reduce the dissemination of pathogens at a constant level of transmissibility…”
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PP016 Topic: AS01–Brain: Neuroimaging/Trauma/Monitoring/Status Epilepticus/CNS Infections/Other: INTRACRANIAL PRESSURE RESPONSIVITY DERIVED FROM HIGH FREQUENCY BEDSIDE MONITOR DATA IN PEDIATRIC PATIENTS WITH TRAUMATIC BRAIN INJURY by Shaik, Mohammed, Horvat, C., Clark, R., Rakkar, J., Rooney, S., Clermont, G., Kochanek, P.

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