Search Results - "Smit, Ellen G M"

The role of heparin and allied compounds in the treatment of sepsis by Cornet, Alexander D, Smit, Ellen G M, Beishuizen, Albertus, Groeneveld, A B Johan

“…The crosstalk between coagulation and inflammation and the propensity for microthromboembolic disease during sepsis calls for anticoagulant measures to prevent…”
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INCIDENCE, RISK FACTORS, AND OUTCOME OF SUSPECTED CENTRAL VENOUS CATHETER-RELATED INFECTIONS IN CRITICALLY ILL COVID-19 PATIENTS: A MULTICENTER RETROSPECTIVE COHORT STUDY by Smit, Jasper M., Exterkate, Lotte, van Tienhoven, Arne J., Haaksma, Mark E., Heldeweg, Micah L.A., Fleuren, Lucas, Thoral, Patrick, Dam, Tariq A., Heunks, Leo M.A., Gommers, Diederik, Cremer, Olaf L., Bosman, Rob J., Rigter, Sander, Wils, Evert-Jan, Frenzel, Tim, Vlaar, Alexander P., Dongelmans, Dave A., de Jong, Remko, Peters, Marco, Kamps, Marlijn J.A, Ramnarain, Dharmanand, Nowitzky, Ralph, Nooteboom, Fleur G.C.A., de Ruijter, Wouter, Urlings-Strop, Louise C., Smit, Ellen G.M., Mehagnoul-Schipper, D. Jannet, Dormans, Tom, de Jager, Cornelis P.C., Hendriks, Stefaan H.A., Achterberg, Sefanja, Oostdijk, Evelien, Reidinga, Auke C., Festen-Spanjer, Barbara, Brunnekreef, Gert B., Cornet, Alexander D., van den Tempel, Walter, Boelens, Age D., Koetsier, Peter, Lens, Judith, Faber, Harald J., Karakus, A., Entjes, Robert, de Jong, Paul, Rettig, Thijs C.D., Arbous, Sesmu, Vonk, Bas, Machado, Tomas, Girbes, Armand R.J., Sieswerda, Elske, Elbers, Paul W.G., Tuinman, Pieter R.

“…Background: Aims of this study were to investigate the prevalence and incidence of catheter-related infection, identify risk factors, and determine the…”
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Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records by Vagliano, Iacopo, Schut, Martijn C, Abu-Hanna, Ameen, Dongelmans, Dave A, de Lange, Dylan W, Gommers, Diederik, Cremer, Olaf L, Bosman, Rob J, Rigter, Sander, Wils, Evert-Jan, Frenzel, Tim, de Jong, Remko, Peters, Marco A A, Kamps, Marlijn J A, Ramnarain, Dharmanand, Nowitzky, Ralph, Nooteboom, Fleur G C A, de Ruijter, Wouter, Urlings-Strop, Louise C, Smit, Ellen G M, Mehagnoul-Schipper, D Jannet, Dormans, Tom, de Jager, Cornelis P C, Hendriks, Stefaan H A, Achterberg, Sefanja, Oostdijk, Evelien, Reidinga, Auke C, Festen-Spanjer, Barbara, Brunnekreef, Gert B, Cornet, Alexander D, van den Tempel, Walter, Boelens, Age D, Koetsier, Peter, Lens, Judith, Faber, Harald J, Karakus, A, Entjes, Robert, de Jong, Paul, Rettig, Thijs C D, Reuland, M C, Arbous, Sesmu, Fleuren, Lucas M, Dam, Tariq A, Thoral, Patrick J, Lalisang, Robbert C A, Tonutti, Michele, de Bruin, Daan P, Elbers, Paul W G, de Keizer, Nicolette F

“…To assess, validate and compare the predictive performance of models for in-hospital mortality of COVID-19 patients admitted to the intensive care unit (ICU)…”
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The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients by Fleuren, Lucas M, Dam, Tariq A, Tonutti, Michele, de Bruin, Daan P, Lalisang, Robbert C A, Gommers, Diederik, Cremer, Olaf L, Bosman, Rob J, Rigter, Sander, Wils, Evert-Jan, Frenzel, Tim, Dongelmans, Dave A, de Jong, Remko, Peters, Marco, Kamps, Marlijn J A, Ramnarain, Dharmanand, Nowitzky, Ralph, Nooteboom, Fleur G C A, de Ruijter, Wouter, Urlings-Strop, Louise C, Smit, Ellen G M, Mehagnoul-Schipper, D Jannet, Dormans, Tom, de Jager, Cornelis P C, Hendriks, Stefaan H A, Achterberg, Sefanja, Oostdijk, Evelien, Reidinga, Auke C, Festen-Spanjer, Barbara, Brunnekreef, Gert B, Cornet, Alexander D, van den Tempel, Walter, Boelens, Age D, Koetsier, Peter, Lens, Judith, Faber, Harald J, Karakus, A, Entjes, Robert, de Jong, Paul, Rettig, Thijs C D, Arbous, Sesmu, Vonk, Sebastiaan J J, Fornasa, Mattia, Machado, Tomas, Houwert, Taco, Hovenkamp, Hidde, Noorduijn-Londono, Roberto, Quintarelli, Davide, Scholtemeijer, Martijn G, de Beer, Aletta A, Cina, Giovanni, Beudel, Martijn, Herter, Willem E, Girbes, Armand R J, Hoogendoorn, Mark, Thoral, Patrick J, Elbers, Paul W G

“…The Coronavirus disease 2019 (COVID-19) pandemic has underlined the urgent need for reliable, multicenter, and full-admission intensive care data to advance…”
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Large-scale ICU data sharing for global collaboration: the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse by Fleuren, Lucas M., de Bruin, Daan P., Tonutti, Michele, Lalisang, Robbert C. A., Elbers, Paul W. G.

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Rapid Evaluation of Coronavirus Illness Severity (RECOILS) in intensive care: Development and validation of a prognostic tool for in‐hospital mortality by Plečko, Drago, Bennett, Nicolas, Mårtensson, Johan, Dam, Tariq A., Entjes, Robert, Rettig, Thijs C. D., Dongelmans, Dave A., Boelens, Age D., Rigter, Sander, Hendriks, Stefaan H. A., Jong, Remko, Kamps, Marlijn J. A., Peters, Marco, Karakus, Attila, Gommers, Diederik, Ramnarain, Dharmanand, Wils, Evert‐Jan, Achterberg, Sefanja, Nowitzky, Ralph, Tempel, Walter, Jager, Cornelis P. C., Nooteboom, Fleur G. C. A., Oostdijk, Evelien, Koetsier, Peter, Cornet, Alexander D., Reidinga, Auke C., Ruijter, Wouter, Bosman, Rob J., Frenzel, Tim, Urlings‐Strop, Louise C., Jong, Paul, Smit, Ellen G.M., Cremer, Olaf L., Mehagnoul‐Schipper, D. Jannet, Faber, Harald J., Lens, Judith, Brunnekreef, Gert B., Festen‐Spanjer, Barbara, Dormans, Tom, Bruin, Daan P., Lalisang, Robbert C. A., Vonk, Sebastiaan J. J., Haan, Martin E., Fleuren, Lucas M., Thoral, Patrick J., Elbers, Paul W. G., Bellomo, Rinaldo

“…Background The prediction of in‐hospital mortality for ICU patients with COVID‐19 is fundamental to treatment and resource allocation. The main purpose was to…”
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Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse by Fleuren, Lucas M., Tonutti, Michele, de Bruin, Daan P., Lalisang, Robbert C. A., Dam, Tariq A., Gommers, Diederik, Cremer, Olaf L., Bosman, Rob J., Vonk, Sebastiaan J. J., Fornasa, Mattia, Machado, Tomas, van der Meer, Nardo J. M., Rigter, Sander, Wils, Evert-Jan, Frenzel, Tim, Dongelmans, Dave A., de Jong, Remko, Peters, Marco, Kamps, Marlijn J. A., Ramnarain, Dharmanand, Nowitzky, Ralph, Nooteboom, Fleur G. C. A., de Ruijter, Wouter, Urlings-Strop, Louise C., Smit, Ellen G. M., Mehagnoul-Schipper, D. Jannet, Dormans, Tom, de Jager, Cornelis P. C., Hendriks, Stefaan H. A., Oostdijk, Evelien, Reidinga, Auke C., Festen-Spanjer, Barbara, Brunnekreef, Gert, Cornet, Alexander D., van den Tempel, Walter, Boelens, Age D., Koetsier, Peter, Lens, Judith, Achterberg, Sefanja, Faber, Harald J., Karakus, A., Beukema, Menno, Entjes, Robert, de Jong, Paul, Houwert, Taco, Hovenkamp, Hidde, Noorduijn Londono, Roberto, Quintarelli, Davide, Scholtemeijer, Martijn G., de Beer, Aletta A., Cinà, Giovanni, Beudel, Martijn, de Keizer, Nicolet F., Hoogendoorn, Mark, Girbes, Armand R. J., Herter, Willem E., Elbers, Paul W. G., Thoral, Patrick J.

“…Background The identification of risk factors for adverse outcomes and prolonged intensive care unit (ICU) stay in COVID-19 patients is essential for…”
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A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients by Izdebski, Adam, Thoral, Patrick J, Lalisang, Robbert C. A, McHugh, Dean M, Gommers, Diederik, Cremer, Olaf L, Bosman, Rob J, Rigter, Sander, Wils, Evert-Jan, Frenzel, Tim, Dongelmans, Dave A, de Jong, Remko, Peters, Marco A. A, Kamps, Marlijn J. A, Ramnarain, Dharmanand, Nowitzky, Ralph, Nooteboom, Fleur G. C. A, de Ruijter, Wouter, Urlings-Strop, Louise C, Smit, Ellen G. M, Mehagnoul-Schipper, D. Jannet, Dormans, Tom, de Jager, Cornelis P. C, Hendriks, Stefaan H. A, Achterberg, Sefanja, Oostdijk, Evelien, Reidinga, Auke C, Festen-Spanjer, Barbara, Brunnekreef, Gert B, Cornet, Alexander D, Tempel, Walter van den, Boelens, Age D, Koetsier, Peter, Lens, Judith, Faber, Harald J, Karakus, A, Entjes, Robert, de Jong, Paul, Rettig, Thijs C. D, Arbous, Sesmu, Fleuren, Lucas M, Dam, Tariq A, Tonutti, Michele, de Bruin, Daan P, Elbers, Paul W. G, Cinà, Giovanni

“…Despite the recent progress in the field of causal inference, to date there is no agreed upon methodology to glean treatment effect estimation from…”
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