399 results on '"Oeyen, Sandra"'
Search Results
2. Contemporary assessment of short- and functional 90-days outcome in old intensive care patients suffering from COVID-19
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Bruno, Raphael Romano, Wernly, Bernhard, Artigas, Antonio, Fuest, Kristina, Schaller, Stefan J., Dannenberg, Lisa, Kindgen-Milles, Detlef, Kelm, Malte, Beil, Michael, Sviri, Sigal, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Kondili, Eumorfia, Moreno, Rui, Leaver, Susannah, Guidet, Bertrand, De Lange, Dylan W., Flaatten, Hans, Szczeklik, Wojciech, and Jung, Christian
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- 2025
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3. Frailty’s influence on 30-day mortality in old critically ill ICU patients: a bayesian analysis evaluating the clinical frailty scale
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Wernly, Bernhard, Bruno, Raphael Romano, Beil, Michael, Flaatten, Hans, Kelm, Malte, Sigal, Sviri, Szczeklik, Wojciech, Elhadi, Muhammed, Joannidis, Michael, Koköfer, Andreas, Oeyen, Sandra, Marsh, Brian, Moreno, Rui, Wernly, Sarah, Leaver, Susannah, De Lange, Dylan W., Guidet, Bertrand, and Jung, Christian
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- 2023
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4. Outcomes of patients aged ≥80 years with respiratory failure initially treated with non-invasive ventilation in European intensive care units before and during COVID-19 pandemic
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Polok, Kamil, Fronczek, Jakub, Guidet, Bertrand, Artigas, Antonio, De Lange, Dylan W., Fjølner, Jesper, Leaver, Susannah, Beil, Michael, Sviri, Sigal, Bruno, Raphael Romano, Wernly, Bernhard, Pinto, Bernardo Bollen, Schefold, Joerg C., Studzińska, Dorota, Joannidis, Michael, Oeyen, Sandra, Marsh, Brian, Andersen, Finn H., Moreno, Rui, Cecconi, Maurizio, Flaatten, Hans, Jung, Christian, and Szczeklik, Wojciech
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- 2023
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5. In reply: Sex-specific outcomes in COVID-19: missing pieces of the puzzle
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Wolff, Georg, Wernly, Bernhard, Flaatten, Hans, Fjølner, Jesper, Bruno, Raphael Romano, Artigas, Antonio, Pinto, Bernardo Bollen, Schefold, Joerg C., Kelm, Malte, Binneboessel, Stephan, Baldia, Philipp, Beil, Michael, Sivri, Sigal, van Heerden, Peter Vernon, Szczeklik, Wojciech, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Flamm, Maria, Marsh, Brian, Andersen, Finn H., Moreno, Rui, Boumendil, Ariane, De Lange, Dylan W., Guidet, Bertrand, Leaver, Susannah, and Jung, Christian
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- 2023
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6. Sex-specific treatment characteristics and 30-day mortality outcomes of critically ill COVID-19 patients over 70 years of age—results from the prospective COVIP study
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Wolff, Georg, Wernly, Bernhard, Flaatten, Hans, Fjølner, Jesper, Bruno, Raphael Romano, Artigas, Antonio, Pinto, Bernardo Bollen, Schefold, Joerg C., Kelm, Malte, Binneboessel, Stephan, Baldia, Philipp, Beil, Michael, Sivri, Sigal, van Heerden, Peter Vernon, Szczeklik, Wojciech, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Flamm, Maria, Zafeiridis, Tilemachos, Marsh, Brian, Andersen, Finn H., Moreno, Rui, Boumendil, Ariane, De Lange, Dylan W., Guidet, Bertrand, Leaver, Susannah, and Jung, Christian
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- 2022
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7. Short-term mortality of patients ≥80 years old admitted to European intensive care units: an international observational study
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Fronczek, Jakub, Flaatten, Hans, Guidet, Bertrand, Polok, Kamil, Andersen, Finn H., Andrew, Benjamin Y., Artigas, Antonio, Beil, Michael, Cecconi, Maurizio, Christensen, Steffen, de Lange, Dylan W., Fjølner, Jesper, Górka, Jacek, Joannidis, Michael, Jung, Christian, Kusza, Krzysztof, Leaver, Susannah, Marsh, Brian, Morandi, Alessandro, Moreno, Rui, Oeyen, Sandra, Owczuk, Radosław, Agvald-Öhman, Christina, Pinto, Bernardo B., Rhodes, Andrew, Schefold, Joerg C., Soliman, Ivo W., Valentin, Andreas, Walther, Sten, Watson, Ximena, Zafeiridis, Tilemachos, and Szczeklik, Wojciech
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- 2022
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8. Increased 30-day mortality in very old ICU patients with COVID-19 compared to patients with respiratory failure without COVID-19
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Guidet, Bertrand, Jung, Christian, Flaatten, Hans, Fjølner, Jesper, Artigas, Antonio, Pinto, Bernardo Bollen, Schefold, Joerg C., Beil, Michael, Sigal, Sviri, van Heerden, Peter Vernon, Szczeklik, Wojciech, Joannidis, Michael, Oeyen, Sandra, Kondili, Eumorfia, Marsh, Brian, Andersen, Finn H., Moreno, Rui, Cecconi, Maurizio, Leaver, Susannah, De Lange, Dylan W., and Boumendil, Ariane
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- 2022
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9. Association between tracheostomy timing and outcomes for older critically ill COVID-19 patients: prospective observational study in European intensive care units
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Polok, Kamil, Fronczek, Jakub, van Heerden, Peter Vernon, Flaatten, Hans, Guidet, Bertrand, De Lange, Dylan W., Fjølner, Jesper, Leaver, Susannah, Beil, Michael, Sviri, Sigal, Bruno, Raphael Romano, Wernly, Bernhard, Artigas, Antonio, Pinto, Bernardo Bollen, Schefold, Joerg C., Studzińska, Dorota, Joannidis, Michael, Oeyen, Sandra, Marsh, Brian, Andersen, Finn H., Moreno, Rui, Cecconi, Maurizio, Jung, Christian, and Szczeklik, Wojciech
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- 2022
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10. A retrospective cohort study comparing differences in 30-day mortality among critically ill patients aged ≥ 70 years treated in European tax-based healthcare systems (THS) versus social health insurance systems
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Wernly, Bernhard, Flaatten, Hans, Beil, Michael, Fjølner, Jesper, Bruno, Raphael Romano, Artigas, Antonio, Pinto, Bernardo Bollen, Schefold, Joerg C., Kelm, Malte, Sigal, Sviri, van Heerden, Peter Vernon, Szczeklik, Wojciech, Elhadi, Muhammed, Joannidis, Michael, Rezar, Richard, Oeyen, Sandra, Wolff, Georg, Marsh, Brian, Andersen, Finn H., Moreno, Rui, Wernly, Sarah, Leaver, Susannah, Boumendil, Ariane, De Lange, Dylan W., Guidet, Bertrand, Perings, Stefan, and Jung, Christian
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- 2022
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11. The association of the Activities of Daily Living and the outcome of old intensive care patients suffering from COVID-19
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Bruno, Raphael Romano, Wernly, Bernhard, Flaatten, Hans, Fjølner, Jesper, Artigas, Antonio, Baldia, Philipp Heinrich, Binneboessel, Stephan, Bollen Pinto, Bernardo, Schefold, Joerg C., Wolff, Georg, Kelm, Malte, Beil, Michael, Sviri, Sigal, van Heerden, Peter Vernon, Szczeklik, Wojciech, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Kondili, Eumorfia, Marsh, Brian, Wollborn, Jakob, Andersen, Finn H., Moreno, Rui, Leaver, Susannah, Boumendil, Ariane, De Lange, Dylan W., Guidet, Bertrand, and Jung, Christian
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- 2022
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12. The association of prior paracetamol intake with outcome of very old intensive care patients with COVID-19: results from an international prospective multicentre trial
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Baldia, Philipp Heinrich, Wernly, Bernhard, Flaatten, Hans, Fjølner, Jesper, Artigas, Antonio, Pinto, Bernardo Bollen, Schefold, Joerg C., Kelm, Malte, Beil, Michael, Bruno, Raphael Romano, Binnebößel, Stephan, Wolff, Georg, Erkens, Ralf, Sigal, Sviri, van Heerden, Peter Vernon, Szczeklik, Wojciech, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Marsh, Brian, Andersen, Finn H., Moreno, Rui, Leaver, Susannah, De Lange, Dylan W., Guidet, Bertrand, and Jung, Christian
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- 2022
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13. Noninvasive ventilation in COVID-19 patients aged ≥ 70 years—a prospective multicentre cohort study
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Polok, Kamil, Fronczek, Jakub, Artigas, Antonio, Flaatten, Hans, Guidet, Bertrand, De Lange, Dylan W., Fjølner, Jesper, Leaver, Susannah, Beil, Michael, Sviri, Sigal, Bruno, Raphael Romano, Wernly, Bernhard, Bollen Pinto, Bernardo, Schefold, Joerg C., Studzińska, Dorota, Joannidis, Michael, Oeyen, Sandra, Marsh, Brian, Andersen, Finn H., Moreno, Rui, Cecconi, Maurizio, Jung, Christian, and Szczeklik, Wojciech
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- 2022
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14. Correction to: Increased 30-day mortality in very old ICU patients with COVID-19 compared to patients with respiratory failure without COVID-19
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Guidet, Bertrand, Jung, Christian, Flaatten, Hans, Fjølner, Jesper, Artigas, Antonio, Pinto, Bernardo Bollen, Schefold, Joerg C., Beil, Michael, Sigal, Sviri, van Heerden, Peter Vernon, Szczeklik, Wojciech, Joannidis, Michael, Oeyen, Sandra, Kondili, Eumorfia, Marsh, Brian, Andersen, Finn H., Moreno, Rui, Cecconi, Maurizio, Leaver, Susannah, De Lange, Dylan W., and Boumendil, Ariane
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- 2022
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15. Publisher Correction: Sex-specific outcome disparities in very old patients admitted to intensive care medicine: a propensity matched analysis
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Wernly, Bernhard, Bruno, Raphael Romano, Kelm, Malte, Boumendil, Ariane, Morandi, Alessandro, Andersen, Finn H., Artigas, Antonio, Finazzi, Stefano, Cecconi, Maurizio, Christensen, Steffen, Faraldi, Loredana, Lichtenauer, Michael, Muessig, Johanna M., Marsh, Brian, Moreno, Rui, Oeyen, Sandra, Öhman, Christina Agvald, Pinto, Bernado Bollen, Soliman, Ivo W., Szczeklik, Wojciech, Niederseer, David, Valentin, Andreas, Watson, Ximena, Leaver, Susannah, Boulanger, Carole, Walther, Sten, Schefold, Joerg C., Joannidis, Michael, Nalapko, Yuriy, Elhadi, Muhammed, Fjølner, Jesper, Zafeiridis, Tilemachos, De Lange, Dylan W., Guidet, Bertrand, Flaatten, Hans, and Jung, Christian
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- 2021
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16. A comparison of very old patients admitted to intensive care unit after acute versus elective surgery or intervention
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Jung, Christian, Wernly, Bernhard, Muessig, Johanna M., Kelm, Malte, Boumendil, Ariane, Morandi, Alessandro, Andersen, Finn H., Artigas, Antonio, Bertolini, Guido, Cecconi, Maurizio, Christensen, Steffen, Faraldi, Loredana, Fjølner, Jesper, Lichtenauer, Michael, Bruno, Raphael Romano, Marsh, Brian, Moreno, Rui, Oeyen, Sandra, Öhman, Christina Agvald, Pinto, Bernardo Bollen, Soliman, Ivo W., Szczeklik, Wojciech, Valentin, Andreas, Watson, Ximena, Zafeiridis, Tilemachos, De Lange, Dylan W., Guidet, Bertrand, and Flaatten, Hans
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- 2019
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17. Development of a prediction model for long-term quality of life in critically ill patients
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Oeyen, Sandra, Vermeulen, Karel, Benoit, Dominique, Annemans, Lieven, and Decruyenaere, Johan
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- 2018
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18. Changes in critically ill cancer patients' short-term outcome over the last decades: results of systematic review with meta-analysis on individual data
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Darmon, Michaël, Bourmaud, Aurélie, Georges, Quentin, Soares, Marcio, Jeon, Kyeongman, Oeyen, Sandra, and Rhee, Chin Kook
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Mortality -- France -- United Kingdom -- Brazil ,Stem cells -- Analysis ,Health care industry - Abstract
Purpose The number of averted deaths due to therapeutic advances in oncology and hematology is substantial and increasing. Survival of critically ill cancer patients has also improved during the last 2 decades. However, these data stem predominantly from unadjusted analyses. The aim of this study was to assess the impact of ICU admission year on short-term survival of critically ill cancer patients, with special attention on those with neutropenia. Methods Systematic review and meta-analysis of individual data according to the guidelines of meta-analysis of observational studies in epidemiology. Datasource Pubmed and Cochrane databases. Eligibility criteria Adult studies published in English between May 2005 and May 2015. Results Overall, 7354 patients were included among whom 1666 presented with neutropenia at ICU admission. Median ICU admission year was 2007 (IQR 2004-2010; range 1994-2012) and median number of admissions per year was 693 (IQR 450-1007). Overall mortality was 47.7%. ICU admission year was associated with a progressive decrease in hospital mortality (OR per year 0.94; 95% CI 0.93-0.95). After adjustment for confounders, year of ICU admission was independently associated with hospital mortality (OR for hospital mortality per year: 0.96; 95% CI 0.95-0.97). The association was also seen in patients with neutropenia but not in allogeneic stem cell transplant recipients. Conclusion After adjustment for patient characteristics, severity of illness and clustering, hospital mortality decreased steadily over time in critically ill oncology and hematology patients except for allogeneic stem cell transplant recipients., Author(s): Michaël Darmon [sup.1] [sup.2] [sup.3], Aurélie Bourmaud [sup.2] [sup.4] [sup.5], Quentin Georges [sup.6], Marcio Soares [sup.7], Kyeongman Jeon [sup.8], Sandra Oeyen [sup.9], Chin Kook Rhee [sup.10], Pascale Gruber [sup.11], [...]
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- 2019
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19. 3-month clinical, functional and radiological outcomes of hospitalised COVID-19 patients in the first versus the second wave
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Peys, Elise, primary, Vande Weygaerde, Yannick, additional, Bosteels, Cedric, additional, Salhi, Bihiyga, additional, Verschraegen, Sven, additional, Depuydt, Pieter, additional, Oeyen, Sandra, additional, Derom, Eric, additional, Demeyer, Heleen, additional, and Van Braeckel, Eva, additional
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- 2023
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20. Sex-specific outcome disparities in very old patients admitted to intensive care medicine: a propensity matched analysis
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Wernly, Bernhard, Bruno, Raphael Romano, Kelm, Malte, Boumendil, Ariane, Morandi, Alessandro, Andersen, Finn H., Artigas, Antonio, Finazzi, Stefano, Cecconi, Maurizio, Christensen, Steffen, Faraldi, Loredana, Lichtenauer, Michael, Muessig, Johanna M., Marsh, Brian, Moreno, Rui, Oeyen, Sandra, Öhman, Christina Agvald, Pinto, Bernado Bollen, Soliman, Ivo W., Szczeklik, Wojciech, Niederseer, David, Valentin, Andreas, Watson, Ximena, Leaver, Susannah, Boulanger, Carole, Walther, Sten, Schefold, Joerg C., Joannidis, Michael, Nalapko, Yuriy, Elhadi, Muhammed, Fjølner, Jesper, Zafeiridis, Tilemachos, De Lange, Dylan W., Guidet, Bertrand, Flaatten, Hans, and Jung, Christian
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- 2020
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21. Correction to: Withholding or withdrawing of life-sustaining therapy in older adults (≥ 80 years) admitted to the intensive care unit
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Guidet, Bertrand, Flaatten, Hans, Boumendil, Ariane, Morandi, Alessandro, Andersen, Finn H., Artigas, Antonio, Bertolini, Guido, Cecconi, Maurizio, Christensen, Steffen, Faraldi, Loredana, Fjølner, Jesper, Jung, Christian, Marsh, Brian, Moreno, Rui, Oeyen, Sandra, Öhman, Christina Agwald, Pinto, Bernardo Bollen, Soliman, Ivo W., Szczeklik, Wojciech, Valentin, Andreas, Watson, Ximena, Zafeiridis, Tilemachos, De Lange, Dylan W., and The VIP1 Study Group
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- 2018
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22. Frailty's influence on 30-day mortality in old critically ill ICU patients: a bayesian analysis evaluating the clinical frailty scale
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Medische Staf Intensive Care, NVIC bedrijfsvoering, Brain, Infection & Immunity, Wernly, Bernhard, Bruno, Raphael Romano, Beil, Michael, Flaatten, Hans, Kelm, Malte, Sigal, Sviri, Szczeklik, Wojciech, Elhadi, Muhammed, Joannidis, Michael, Koköfer, Andreas, Oeyen, Sandra, Marsh, Brian, Moreno, Rui, Wernly, Sarah, Leaver, Susannah, De Lange, Dylan W, Guidet, Bertrand, Jung, Christian, Medische Staf Intensive Care, NVIC bedrijfsvoering, Brain, Infection & Immunity, Wernly, Bernhard, Bruno, Raphael Romano, Beil, Michael, Flaatten, Hans, Kelm, Malte, Sigal, Sviri, Szczeklik, Wojciech, Elhadi, Muhammed, Joannidis, Michael, Koköfer, Andreas, Oeyen, Sandra, Marsh, Brian, Moreno, Rui, Wernly, Sarah, Leaver, Susannah, De Lange, Dylan W, Guidet, Bertrand, and Jung, Christian
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- 2023
23. Huge variation in obtaining ethical permission for a non-interventional observational study in Europe
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de Lange, Dylan W., Guidet, Bertrand, Andersen, Finn H., Artigas, Antonio, Bertolini, Guidio, Moreno, Rui, Christensen, Steffen, Cecconi, Maurizio, Agvald-Ohman, Christina, Gradisek, Primoz, Jung, Christian, Marsh, Brian J., Oeyen, Sandra, Bollen Pinto, Bernardo, Szczeklik, Wojciech, Watson, Ximena, Zafeiridis, Tilemachos, and Flaatten, Hans
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- 2019
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24. Associations of anemia and blood transfusions with mortality in old, critically ill COVID-19 patients - results from the prospective COVIP study
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Erkens, Ralf, Duse, Dragos, Wernly, Bernhard, Flaatten, Hans, Fjolner, Jesper, Bruno, Raphael Romano, Wolff, Georg, Artigas, Antonio, Kelm, Malte, Beil, Michael, Sviri, Sigal, Schaller, Stefan J., Fuest, Kristina, Szczeklik, Wojciech, Piayda, Kerstin, Elhadi, Muhammed, Joannidis, Michael, Nedergaard, Helene Korvenius, Oeyen, Sandra, Moreno, Rui, Leaver, Susannah, de Lange, Dylan W., Guidet, Bertrand, and Jung, Christian
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- 2023
25. The impact of frailty on ICU and 30-day mortality and the level of care in very elderly patients (≥ 80 years)
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Flaatten, Hans, De Lange, Dylan W., Morandi, Alessandro, Andersen, Finn H., Artigas, Antonio, Bertolini, Guido, Boumendil, Ariane, Cecconi, Maurizio, Christensen, Steffen, Faraldi, Loredana, Fjølner, Jesper, Jung, Christian, Marsh, Brian, Moreno, Rui, Oeyen, Sandra, Öhman, Christina Agwald, Pinto, Bernardo Bollen, Soliman, Ivo W., Szczeklik, Wojciech, Valentin, Andreas, Watson, Ximena, Zaferidis, Tilemachos, Guidet, Bertrand, and on behalf of the VIP1 study group
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- 2017
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26. Proceedings of Réanimation 2017, the French Intensive Care Society International Congress
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Kamilia, Chtara, Regaieg, Kais, Baccouch, Najeh, Chelly, Hedi, Bahloul, Mabrouk, Bouaziz, Mounir, Jendoubi, Ali, Abbes, Ahmed, Belhaouane, Houda, Nasri, Oussama, Jenzri, Layla, Ghedira, Salma, Houissa, Mohamed, Belkadi, Kamal, Harti, Youness, Nsiri, Afak, Khaleq, Khalid, Hamoudi, Driss, Harrar, Rachid, Thieffry, Camille, Wallet, Frédéric, Parmentier-Decrucq, Erika, Favory, Raphaël, Mathieu, Daniel, Poissy, Julien, Lafon, Thomas, Vignon, Philippe, Begot, Emmanuelle, Appert, Alexandra, Hadj, Mathilde, Claverie, Paul, Matt, Morgan, Barraud, Olivier, François, Bruno, Jamoussi, Amira, Jazia, Amira Ben, Marhbène, Takoua, Lakhdhar, Dhouha, Khelil, Jalila Ben, Besbes, Mohamed, Goutay, Julien, Blazejewski, Caroline, Joly-Durand, Isabelle, Pirlet, Isabelle, Weillaert, Marie Pierre, Beague, Sebastien, Aziz, Soufi, Hafiane, Reda, Hattabi, Khalid, Bouhouri, Mohamed Aziz, Hammoudi, Driss, Fadil, Abdelaziz, Harrar, Rachid Al, Zerouali, Khalid, Medhioub, Fatma Kaaniche, Allela, Rania, Algia, Najla Ben, Cherif, Samar, Slaoui, Mohamed Taoufik, Boubia, Souhail, Hafiani, Y., Khaoudi, A., Cherkab, R., Elallam, W., Elkettani, C., Barrou, L., Ridaii, M., Mehdi, Rihi El, Schimpf, Caroline, Mizrahi, Assaf, Pilmis, Benoît, Le Monnier, Alban, Tiercelet, Kelly, Cherin, Mélanie, Bruel, Cédric, Philippart, Francois, Bailly, Sébastien, Lucet, Jc, Lepape, Alain, L’hériteau, François, Aupée, Martine, Bervas, Caroline, Boussat, Sandrine, Berger-Carbonne, Anne, Machut, Anaïs, Savey, Anne, Timsit, Jean-François, Razazi, Keyvan, Rosman, Jérémy, de Prost, Nicolas, Carteaux, Guillaume, Jansen, Chloe, Decousser, Jean Winoc, Brun-Buisson, Christian, Dessap, Armand Mekontso, M’rad, Aymen, Ouali, Zouhour, Barghouth, Manel, Kouatchet, Achille, Mahieu, Rafael, Weiss, Emmanuel, Schnell, David, Zahar, Jean-Ralph, Artiguenave, Margaux, Sophie, Paktoris-Papine, Espinasse, Florence, Sayed, Faten El, Dinh, Aurélien, Charron, Cyril, Geri, Guillaume, Vieillard-Baron, Antoine, Repessé, Xavier, Kallel, Hatem, Mayence, Claire, Houcke, Stéphanie, Guegueniat, Pascal, Hommel, Didier, Dhifaoui, Kaouther, Hajjej, Zied, Fatnassi, Amira, Sellami, Walid, Labbene, Iheb, Ferjani, Mustapha, Dachraoui, Fahmi, Nakkaa, Sabrine, M’ghirbi, Abdelwaheb, Adhieb, Ali, Braiek, Dhouha Ben, Hraiech, Kmar, Ousji, Ali, Ouanes, Islem, Zaineb, Hammouda, Abdallah, Saousen Ben, Ouanes-Besbes, Lamia, Abroug, Fekri, Klein, Simon, Miquet, Mattéo, Thouret, Jean-Marc, Peigne, Vincent, Daban, Jean-Louis, Boutonnet, Mathieu, Lenoir, Bernard, Merhbene, Takoua, Derreumaux, Celine, Seguin, Thierry, Conil, Jean-Marie, Kelway, Charlotte, Blasco, Valery, Nafati, Cyril, Harti, Karim, Reydellet, Laurent, Albanese, Jacques, Aicha, Narjess Ben, Meddeb, Khaoula, Khedher, Ahmed, Ayachi, Jihene, Fraj, Nesrine, Sma, Nesrine, Chouchene, Imed, Boussarsar, Mohamed, Yedder, Soumaya Ben, Samoud, Walid, Radhouene, Bousselmi, Mariem, Bousselmi, Ammar, Asma, Cheikh, Asma Ben, Lakhal, Hend Ben, Khelfa, Messaouda, Hamdaoui, Yamina, Bouafia, Nabiha, Trampont, Timothée, Daix, Thomas, Legarçon, Vincent, Karam, Henri Hani, Pichon, Nicolas, Essafi, Fatma, Foudhaili, Nasreddine, Thabet, Hafedh, Blel, Youssef, Brahmi, Nozha, Ezzouine, Hanane, Kerrous, Mahmoud, Haoui, Saad El, Ahdil, Soufiane, Benslama, Abdellatif, Abidi, Khalid, Dendane, Tarek, Oussama, Ssouni, Belayachi, Jihane, Madani, Naoufal, Abouqal, Redouane, Zeggwagh, Amine Ali, Ghadhoune, Hatem, Chaari, Anis, Jihene, Guissouma, Allouche, Hend, Trabelsi, Insaf, Brahmi, Habib, Samet, Mohamed, Ghord, Hatem El, Habiba, Ben Sik Ali, Hajer, Nouira, Tilouch, Najla, Yaakoubi, Sondes, Jaoued, Oussama, Gharbi, Rim, Hassen, Mohamed Fekih, Elatrous, Souheil, Arcizet, Julien, Leroy, Bertrand, Abdulmalack, Caroline, Renzullo, Catherine, Hamet, Maël, Doise, Jean-Marc, Coutet, Jérôme, Cheikh, Chaigar Mohammed, Quechar, Zakaria, Joris, Magalie, Beauport, Dimitri Titeca, Kontar, Loay, Lebon, Delphine, Gruson, Bérengère, Slama, Michel, Marolleau, Jean-Pierre, Maizel, Julien, Gorham, Julie, Ameye, Lieveke, Berghmans, Thierry, Paesmans, Marianne, Sculier, Jean-Paul, Meert, Anne-Pascale, Guillot, Max, Ledoux, Marie-Pierre, Braun, Thierry, Maestraggi, Quentin, Michard, Baptiste, Castelain, Vincent, Herbrecht, Raoul, Schneider, Francis, Couffin, Severine, Lobo, David, Mongardon, Nicolas, Dhonneur, Gilles, Mounier, Roman, Le Borgne, Pierrick, Couraud, Sophie, Herbrecht, Jean-Etienne, Boivin, Alexandra, Lefebvre, François, Bilbault, Pascal, Zelmat, Setti-Aouicha, Batouche, Djamila-Djahida, Mazour, Fatima, Chaffi, Belkacem, Benatta, Nadia, Sik, Ali Habiba, Talik, I., Perrier, Maxime, Gouteix, Eliane, Koubi, Claude, Escavy, Annabelle, Guilbaut, Victoria, Fosse, Jean-Philippe, Jazia, Rahma Ben, Abdelghani, Ahmed, Cungi, Pierre-Julien, Bordes, Julien, Nguyen, Cédric, Pierrou, Candice, Cruc, Maximilien, Benois, Alain, Duprez, Frédéric, Bonus, Thierry, Cuvelier, Grégory, Ollieuz, Sandra, Machayekhi, Sharam, Paciorkowski, Frédéric, Reychler, Gregory, Coudroy, Remi, Thille, Arnaud W., Drouot, Xavier, Diaz, Véronique, Meurice, Jean-Claude, Robert, René, Turki, Olfa, Ben, Hmida Chokri, Assefi, Mona, Deransy, Romain, Brisson, Hélène, Monsel, Antoine, Conti, Filomena, Scatton, Olivier, Langeron, Olivier, Ghezala, Hassen Ben, Snouda, Salah, Ben, Chiekh Imen, Kaddour, Moez, Armel, Anwar, Youness, Lafrikh, Abdelhak, Bensaid, Youssef, Miloudi, Najib, Al Harrar, Mustapha, Amouzoun, Noufel, Mtioui, Mohamed, Zamd, Salma, El Khayat, Ghizlane, Medkouri, Mohamed, Benghanam, Benyounes, Ramdani, Montini, Florent, Moschietto, Sébastien, Gregoire, Emilien, Claisse, Guillaume, Guiot, Julien, Morimont, Philippe, Krzesinski, Jean-Marie, Mariat, Christophe, Lambermont, Bernard, Cavalier, Etienne, Delanaye, Pierre, Benbernou, Soumia, Ilies, Sofiane, Azza, Abdelkader, Bouyacoub, Khalida, Louail, Meriem, Mokhtari-Djebli, Houria, Arrestier, Romain, Daviaud, Fabrice, Francois, Xavier Laborne, Brocas, Elsa, Choukroun, Gérald, Peñuelas, Oscar, Lorente, José-Angel, Cardinal-Fernandez, Pablo, Rodriguez, José-Maria, Aramburu, José-Antonio, Esteban, Andres, Frutos-Vivar, Fernando, Bitker, Laurent, Costes, Nicolas, Le Bars, Didier, Lavenne, Franck, Devouassoux, Mojgan, Richard, Jean-Christophe, Mechati, Malika, Gainnier, Marc, Papazian, Laurent, Guervilly, Christophe, Garnero, Aude, Arnal, Jean Michel, Roze, Hadrien, Richard, Jean Christophe, Repusseau, Benjamin, Dewitte, Antoine, Joannes-Boyau, Olivier, Ouattara, Alexandre, Harbouze, Nadia, Amine, A. M., Olandzobo, A. G., Herbland, Alexandre, Richard, Marie, Girard, Nicolas, Lambron, Lucile, Lesieur, Olivier, Wainschtein, Sarah, Hubert, Sidonie, Hugues, Albane, Tran, Marc, Bouillard, Philippe, Loteanu, Vlad, Leloup, Maxime, Laurent, Alexandra, Lheureux, Florent, Prestifilippo, Alessia, Cruz, Martin Delgado Maria, Romain, Rigal, Antonelli, Massimo, Blanch, Torra Lluis, Bonnetain, Franck, Grazzia-Bocci, Maria, Mancebo, Jordi, Samain, Emmanuel, Paul, Hebert, Capellier, Gilles, Zavgorodniaia, Taissa, Soichot, Marion, Malissin, Isabelle, Voicu, Sebastian, Garçon, Pierre, Goury, Antoine, Kerdjana, Lamia, Deye, Nicolas, Bourgogne, Emmanuel, Megarbane, Bruno, Mejri, Olfa, Hmida, Marwa Ben, Tannous, Salma, Chevillard, Lucie, Labat, Laurence, Risede, Patricia, Fredj, Hana, Léger, Maxime, Brunet, Marion, Le Roux, Gaël, Boels, David, Lerolle, Nicolas, Farah, Souaad, Amiel-Niemann, Hélène, Kubis, Nathalie, Declèves, Xavier, Peyraux, Nicoals, Baud, Frederic, Serafini, Micaela, Alvarez, Jean-Claude, Heinzelman, Annette, Jozwiak, Mathieu, Millasseau, Sandrine, Teboul, Jean-Louis, Alphonsine, Jean-Emmanuel, Depret, François, Richard, Nathalie, Attal, Pierre, Richard, Christian, Monnet, Xavier, Chemla, Denis, Jerbi, Salma, Khedhiri, Wafa, Necib, Hatem, Scarfo, Paolo, Chevalier, Charles, Piagnerelli, Michael, Lafont, Alexandre, Galy, Antoine, Mancia, Claire, Zerhouni, Amel, Tabeliouna, Kheira, Gaja, Ali, Hamrouni, Bassem, Malouch, Abir, Fourati, Sami, Messaoud, Rihab, Zarrouki, Youssef, Ziadi, Amra, Rhezali, Manal, Zouizra, Zahira, Boumzebra, Drissi, Samkaoui, Mohamed Abdennasser, Brunet, Jennifer, Canoville, Bertrand, Verrier, Pierre, Ivascau, Calin, Seguin, Amélie, Valette, Xavier, Du Cheyron, Damien, Daubin, Cedric, Bougouin, Wulfran, Aissaoui, Nadia, Lamhaut, Lionel, Jost, Daniel, Maupain, Carole, Beganton, Frankie, Bouglé, Adrien, Dumas, Florence, Marijon, Eloi, Jouven, Xavier, Cariou, Alain, Poirson, Florent, Chaput, Ulriikka, Beeken, Thomas, Maxime, Leclerc, Haikel, Oueslati, Vodovar, Dominique, Chelly, Jonathan, Marteau, Philippe, Chocron, Richard, Juvin, Philippe, Loeb, Thomas, Adnet, Frederic, Lecarpentier, Eric, Riviere, Antoine, De Cagny, Bertand, Soupison, Thierry, Privat, Elodie, Escutnaire, Joséphine, Dumont, Cyrielle, Baert, Valentine, Vilhelm, Christian, Hubert, Hervé, Leteurtre, Stéphane, Fresco, Marion, Bubenheim, Michael, Beduneau, Gaetan, Carpentier, Dorothée, Grange, Steven, Artaud-Macari, Elise, Misset, Benoit, Tamion, Fabienne, Girault, Christophe, Dumas, Guillaume, Chevret, Sylvie, Lemiale, Virginie, Mokart, Djamel, Mayaux, Julien, Pène, Frédéric, Nyunga, Martine, Perez, Pierre, Moreau, Anne-Sophie, Bruneel, Fabrice, Vincent, François, Klouche, Kada, Reignier, Jean, Rabbat, Antoine, Azoulay, Elie, Frat, Jean-Pierre, Ragot, Stéphanie, Constantin, Jean-Michel, Prat, Gwenael, Mercat, Alain, Boulain, Thierry, Demoule, Alexandre, Devaquet, Jérôme, Nseir, Saad, Charpentier, Julien, Argaud, Laurent, Beuret, Pascal, Ricard, Jean-Damien, Teiten, Christelle, Marjanovic, Nicolas, Palamin, Nicola, L’Her, Erwan, Bailly, Arthur, Boisramé-Helms, Julie, Champigneulle, Benoit, Kamel, Toufik, Mercier, Emmanuelle, Le Thuaut, Aurélie, Lascarrou, Jean-Baptiste, Rolle, Amélie, De Jong, Audrey, Chanques, Gérald, Jaber, Samir, Hariri, Geoffroy, Baudel, Jean-Luc, Dubée, Vincent, Preda, Gabriel, Bourcier, Simon, Joffre, Jeremie, Bigé, Naïke, Ait-Oufella, Hafid, Maury, Eric, Mater, Houda, Merdji, Hamid, Grimaldi, David, Rousseau, Christophe, Mira, Jean-Paul, Chiche, Jean-Daniel, Sedghiani, Ines, Benabderrahim, A., Hamdi, Dhekra, Jendoubi, Asma, Cherif, Mohamed Ali, Hechmi, Youssef Zied El, Zouheir, Jerbi, Bagate, François, Bousselmi, Radhwen, Schortgen, Frédérique, Asfar, Pierre, Guérot, Emmanuel, Fabien, Grelon, Anguel, Nadia, Sigismond, Lasocki, Matthieu, Henry-Lagarrigue, Gonzalez, Frédéric, François, Legay, Guitton, Christophe, Schenck, Maleka, Jean-Marc, Doise, Dreyfuss, Didier, Radermacher, Peter, Frère, Antoine, Martin-Lefèvre, Laurent, Colin, Gwenhaël, Fiancette, Maud, Henry-Laguarrigue, Matthieu, Lacherade, Jean-Claude, Lebert, Christine, Vinatier, Isabelle, Yehia, Aihem, Joret, Aurélie, Menunier-Beillard, Nicolas, Benzekri-Lefevre, Dalila, Desachy, Arnaud, Bellec, Fréderic, Plantefève, Gaëtan, Quenot, Jean-Pierre, Meziani, Ferhat, Tavernier, Elsa, Ehrmann, Stephan, Chudeau, Nicolas, Raveau, Tommy, Moal, Valérie, Houillier, Pascal, Rouve, Emmanuelle, Lakhal, Karim, Gandonnière, Charlotte Salmon, Jouan, Youenn, Bodet-Contentin, Laetitia, Balmier, Adrien, Messika, Jonathan, De Montmollin, Etienne, Pouyet, Victorine, Sztrymf, Benjamin, Thiagarajah, Abirami, Roux, Damien, De Chambrun, Marc Pineton, Luyt, Charles-Edouard, Beloncle, François, Zapella, Nathalie, Ledochowsky, Stanislas, Terzi, Nicolas, Mazou, Jean-Marc, Sonneville, Romain, Paulus, Sylvie, Fedun, Yannick, Landais, Mickael, Raphalen, Jean-Herlé, Combes, Alain, Amoura, Zahir, Jacquemin, Aemilia, Guerrero, Felipe, Marcheix, Bertrand, Hernandez, Nicolas, Fourcade, Olivier, Georges, Bernard, Delmas, Clément, Makoudi, Sarah, Genton, Audrey, Bernard, Rémy, Lebreton, Guillaume, Amour, Julien, Mazet, Charlotte, Bounes, Fanny, Murat, Gurbuz, Cronier, Laure, Robin, Guillaume, Biendel, Caroline, Silva, Stein, Boubeche, Samia, Abriou, Caroline, Wurtz, Véronique, Scherrer, Vincent, Rey, Nathalie, Gastaldi, Gioia, Veber, Benoit, Doguet, Fabien, Gay, Arnaud, Dureuil, Bertrand, Besnier, Emmanuel, Rouget, Antoine, Gantois, Guillaume, Magalhaes, Eric, Wanono, Ruben, Smonig, Roland, Lermuzeaux, Mathilde, Lebut, Jordane, Olivier, Andremont, Dupuis, Claire, Radjou, Aguila, Mourvillier, Bruno, Neuville, Mathilde, D’ortho, Marie Pia, Bouadma, Lila, Rouvel-Tallec, Anny, Rudler, Marika, Weiss, Nicolas, Perlbarg, Vincent, Galanaud, Damien, Thabut, Dominique, Rachdi, Emna, Mhamdi, Ghada, Trifi, Ahlem, Abdelmalek, Rim, Abdellatif, Sami, Daly, Foued, Nasri, Rochdi, Tiouiri, Hanene, Lakhal, Salah Ben, Rousseau, Geoffroy, Asmolov, Romain, Grammatico-Guillon, Leslie, Auvet, Adrien, Laribi, Said, Garot, Denis, Dequin, Pierre François, Guillon, Antoine, Fergé, Jean-Louis, Abgrall, Gwénolé, Hinault, Ronan, Vally, Shazima, Roze, Benoit, Chaplain, Agathe, Chabartier, Cyrille, Savidan, Anne-Charlotte, Marie, Sabia, Cabie, Andre, Resiere, Dabor, Valentino, Ruddy, Mehdaoui, Hossein, Benarous, Lucas, Soda-Diop, Marième, Bouzana, Fouad, Perrin, Gilles, Bourenne, Jeremy, Eon, Béatrice, Lambert, Dominique, Trebuchon, Agnes, Poncelet, Géraldine, Le Bourgeois, Fleur, Michael, Levy, Camille, Guillot, Naudin, Jérôme, Deho, Anna, Dauger, Stéphane, Sauthier, Michaël, Bergeron-Gallant, Krystale, Emeriaud, Guillaume, Jouvet, Philippe, Tiebergien, Nicolas, Jacquet-Lagrèze, Matthias, Fellahi, Jean-Luc, Baudin, Florent, Essouri, Sandrine, Javouhey, Etienne, Guérin, Claude, Lampin, Marie, Mamouri, Ouardia, Devos, Patrick, Karaca-Altintas, Yasemin, Vinchon, Matthieu, Brossier, David, Eltaani, Redha, Teyssedre, Sonia, Sabine, Meyet, Bouchut, Jean-Christophe, Peguet, Olivier, Petitdemange, Lucie, Guilbert, Anne Sophie, Aoul, Nabil Tabet, Addou, Zakaria, Aouffen, Nabil, Anas, Benqqa, Kalouch, Samira, Yaqini, Khalid, Chlilek, Aziz, Abdou, Rchi, Gravellier, Perrine, Chantreuil, Julie, Travers, Nadine, Listrat, Antoine, Le Reun, Claire, Favrais, Geraldine, Coppere, Zoe, Blanot, Stéphane, Montmayeur, Juliette, Bronchard, Régis, Rolando, Stephane, Orliaguet, Gilles, Leger, Pierre-Louis, Rambaud, Jérôme, Thueux, Emilie, De Larrard, Alexandra, Berthelot, Véronique, Denot, Julien, Reymond, Marie, Amblard, Alain, Morin-Zorman, Sarah, Lengliné, Etienne, Pichereau, Claire, Mariotte, Eric, Emmanuel, Canet, Poujade, Julien, Trumpff, Guillaume, Janssen-Langenstein, Ralf, Harlay, Marie-Line, Zaid, Noorah, Ait-Ammar, Nawel, Bonnal, Christine, Merle, Jean-Claude, Botterel, Francoise, Levesque, Eric, Riad, Zakaria, Mezidi, Mehdi, Yonis, Hodane, Aublanc, Mylène, Perinel-Ragey, Sophie, Lissonde, Floriane, Louf-Durier, Aurore, Tapponnier, Romain, Louis, Bruno, Forel, Jean-Marie, Bisbal, Magali, Lehingue, Samuel, Rambaud, Romain, Adda, Mélanie, Hraiech, Sami, Marchi, Elisa, Roch, Antoine, Guerin, Vincent, Rozencwajg, Sacha, Schmidt, Matthieu, Hekimian, Guillaume, Bréchot, Nicolas, Trouillet, Jean Louis, Besset, Sébastien, Franchineau, Guillaume, Nieszkowska, Ania, Pascal, Leprince, Loiselle, Maud, Sarah, Chemam, Laurence, Dangers, Guillemette, Thomas, Jacquens, Alice, Kerever, Sebastien, Guidet, Bertrand, Aegerter, Philippe, Das, Vincent, Fartoukh, Muriel, Hayon, Jan, Desmard, Mathieu, Fulgencio, Jean-Pierre, Zuber, Benjamin, Soufi, A., Khaleq, K., Hamoudi, D., Garret, Charlotte, Peron, Matthieu, Coron, Emmanuel, Bretonnière, Cédric, Audureau, Etienne, Audrey, Winters, Christophe, Duvoux, Christian, Jacquelinet, Daniel, Azoulay, Cyrille, Feray, Aissaoui, Wissal, Rghioui, Kawtar, Haddad, Wafae, Barrou, Houcine, Carteaux-Taeib, Anna, Lupinacci, Renato, Manceau, Gilles, Jeune, Florence, Tresallet, Christophe, Habacha, Sahar, Fathallah, Ines, Zoubli, Aymen, Aloui, Rafaa, Kouraichi, Nadia, Jouet, Emilie, Badin, Julie, Fermier, Brice, Feller, Marc, Serie, Mathieu, Pillot, Jérôme, Marie, William, Gisbert-Mora, Chloé, Vinclair, Camille, Lesbordes, Pierre, Mathieu, Pascal, De Brabant, Fabienne, Muller, Emmanuel, Robaux, Marie-Aline, Giabicani, Mikhael, Marchalot, Antoine, Gelinotte, Stéphanie, Declercq, Pierre Louis, Eraldi, Jean-Pierre, Bougerol, François, Meunier-Beillard, Nicolas, Devilliers, Hervé, Rigaud, Jean-Philippe, Verrière, Camille, Ardisson, Fanny, Kentish-Barnes, Nancy, Jacq, Gwenaëlle, Chermak, Akli, Lautrette, Alexandre, Legrand, Matthieu, Soummer, Alexis, Thiery, Guillaume, Cottereau, Alice, Canet, Emmanuel, Caujolle, Marie, Allyn, Jérôme, Valance, Dorothée, Brulliard, Caroline, Martinet, Olivier, Jabot, Julien, Gallas, Thomas, Vandroux, David, Allou, Nicolas, Durand, Arthur, Nevière, Rémi, Delguste, Florian, Boulanger, Eric, Preau, Sebastien, Martin, Ruste, Cochet, Hélène, Ponthus, Jean Pierre, Amilien, Virginie, Tchir, Martial, Barsam, Elise, Ayoub, Mohsen, Georger, Jean Francois, Guillame, Izaute, Assaraf, Julie, Tripon, Simona, Mallet, Maxime, Barbara, Guilaume, Louis, Guillaume, Gaudry, Stéphane, Barbarot, Nicolas, Jamet, Angéline, Outin, Hervé, Gibot, Sébastien, Bollaert, Pierre-Edouard, Holleville, Mathilde, Legriel, Stéphane, Chateauneuf, Anne Laure, Cavelot, Sébastien, Moyer, Jean-Denis, Bedos, Jean Pierre, Merle, Philippe, Laine, Aurelie, Natalie, De Sa, Cornuault, Mathieu, Libot, Jérome, Asehnoune, Karim, Rozec, Bertrand, Dantal, Jacques, Videcoq, Michel, Degroote, Thècle, Jaillette, Emmanuelle, Zerimech, Farid, Malika, Balduyck, Llitjos, Jean-François, Amara, Marlène, Lacave, Guillaume, Pangon, Béatrice, Mavinga, José, Makunza, Joseph Nsiala, Mafuta, M. E., Yanga, Yves, Eric, Amisi, Ilunga, Jp, Kilembe, Ma, Alby-Laurent, Fanny, Toubiana, Julie, Mokline, Amel, Laajili, Achraf, Amri, Helmi, Rahmani, Imene, Mensi, Nidhal, Gharsallah, Lazheri, Tlaili, Sofiene, Gasri, Bahija, Hammouda, Rym, Messadi, Amen Allah, Allain, Pierre-Antoine, Gault, Nathallie, Paugam-Burtz, Catherine, Foucrier, Arnaud, Chatbri, Bassem, Bourbiaa, Yousra, Thabet, Lamia, Neuschwander, Arthur, Vincent, Looten, Beck, Jennifer, Vibol, Chhor, Amelie, Yavchitz, Resche-Rigon, Matthieu, Pirracchio, Jean MantzRomain, Bureau, Côme, Decavèle, Maxens, Campion, Sébastien, Ainsouya, Roukia, Niérat, Marie-Cécile, Prodanovic, Hélène, Raux, Mathieu, Similowski, Thomas, Dubé, Bruno-Pierre, Demiri, Suela, Dres, Martin, May, Faten, Quintard, Hervé, Kounis, Ilias, Saliba, Faouzi, André, Stephane, Boudon, Marc, Ichai, Philippe, Younes, Aline, Nakad, Lionel, Coilly, Audrey, Antonini, Teresa, Sobesky, Rodolphe, De Martin, Eleonora, Samuel, Didier, Hubert, Noemie, Nay, Mai-Anh, Auchabie, Johann, Giraudeau, Bruno, Jean, Reignier, Darmon, Michaël, Ruckly, Stephane, Garrouste-Orgeas, Maïté, Gratia, Elisabeth, Goldgran-Toledano, Dany, Jamali, Samir, Dumenil, Anne Sylvie, Schwebel, Carole, Brisard, Laurent, Bizouarn, Philippe, Lepoivre, Thierry, Nicolet, Johanna, Rigal, Jean Christophe, Roussel, Jean Christian, Cheurfa, Cherifa, Abily, Julien, Lescot, Thomas, Page, Isaline, Warnier, Stéphanie, Nys, Monique, Rousseau, Anne-Françoise, Damas, Pierre, Uhel, Fabrice, Lesouhaitier, Mathieu, Grégoire, Murielle, Gaudriot, Baptiste, Gacouin, Arnaud, Le Tulzo, Yves, Flecher, Erwan, Tarte, Karin, Tadié, Jean-Marc, Georges, Quentin, Soares, M., Jeon, Kyeongman, Oeyen, Sandra, Rhee, Chin Kook, Gruber, Pascale, Ostermann, Marlies, Hill, Quentin, Depuydt, Peter, Ferra, Christelle, Muller, Alice, Aurelie, Bourmaud, Niles, Christopher, Herbert, Fabien, Pied, Sylviane, Loridant, Séverine, François, Nadine, Bignon, Anne, Sendid, Boualem, Lemaitre, Caroline, Dupre, Celine, Zayene, Aymen, Portier, Lucie, De Freitas Caires, Nathalie, Lassalle, Philippe, Le Neindre, Aymeric, Selot, Pascal, Ferreiro, Daniel, Bonarek, Maria, Henriot, Stépahen, Rodriguez, Julie, Taddei, Mara, Di Bari, Mauro, Hickmann, Cheryl, Castanares-Zapatero, Diego, Deldicque, Louise, Van Den Bergh, Peter, Caty, Gilles, Roeseler, Jean, Francaux, Marc, Laterre, Pierre-François, Dupuis, Bastien, Machayeckhi, Sharam, Sarfati, Celine, Moore, Alex, Mendialdua, Paula, Rodet, Emilie, Pilorge, Catherine, Stephan, Francois, Rezaiguia-Delclaux, Saida, Dugernier, Jonathan, Hesse, Michel, Jumetz, Thibaud, Bialais, Emilie, Depoortere, Virginie, Michotte, Jean Bernard, Wittebole, Xavier, Jamar, François, REA‑RAISIN Studygroup, OUTCOMEREA study group, Sudden Death Expertise Center, for the HYPER2S Investigators and REVA research network, Clinical Research in Intensive Care and Sepsis (CRICS network), Cubrea network, and Brain Liver Pitié-Salpêtrière Study Group (BLIPS)
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- 2017
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27. Caractéristiques des traitements en fonction du sexe et résultats de mortalité à 30 jours des patients atteints de COVID-19 gravement malades de plus de 70 ans—résultats de l’étude prospective COVIP
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Wolff, G, Wernly, B, Flaatten, H, Fjølner, J, Bruno, RR, Artigas, A, Pinto, BB, Schefold, JC, Kelm, M, Binneboessel, S, Baldia, P, Beil, M, Sivri, S, van Heerden, PV, Szczeklik, W, Elhadi, M, Joannidis, M, Oeyen, Sandra, Flamm, M, Zafeiridis, T, Marsh, B, Andersen, FH, Moreno, R, Boumendil, A, De Lange, DW, Guidet, B, Leaver, S, Jung, C, COVIP Study, Group, and NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
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Male ,Aged, 80 and over ,Frailty ,Critical Illness ,COVID-19 ,610 Medicine & health ,General Medicine ,COVIP ,mortality ,elderly ,Intensive Care Units ,Anesthesiology and Pain Medicine ,Medicine and Health Sciences ,Humans ,sex ,critical illness ,Female ,Prospective Studies ,610 Medizin und Gesundheit ,Pandemics ,Aged ,COVID - Abstract
Older critically ill patients with COVID-19 have been the most vulnerable during the ongoing pandemic, with men being more prone to hospitalization and severe disease than women. We aimed to explore sex-specific differences in treatment and outcome after intensive care unit (ICU) admission in this cohort.We performed a sex-specific analysis in critically ill patients ≥ 70 yr of age with COVID-19 who were included in the international prospective multicenter COVIP study. All patients were analyzed for ICU admission and treatment characteristics. We performed a multilevel adjusted regression analysis to elucidate associations of sex with 30-day mortality.A total of 3,159 patients (69.8% male, 30.2% female; median age, 75 yr) were included. Male patients were significantly fitter than female patients as determined by the Clinical Frailty Scale (fit, 67% vs 54%; vulnerable, 14% vs 19%; frail, 19% vs 27%; P0.001). Male patients more often underwent tracheostomy (20% vs 14%; odds ratio [OR], 1.57; P0.001), vasopressor therapy (69% vs 62%; OR, 1.25; P = 0.02), and renal replacement therapy (17% vs 11%; OR, 1.96; P0.001). There was no difference in mechanical ventilation, life-sustaining treatment limitations, and crude 30-day mortality (50% male vs 49% female; OR, 1.11; P = 0.19), which remained true after adjustment for disease severity, frailty, age and treatment limitations (OR, 1.17; 95% confidence interval, 0.94 to 1.45; P = 0.16).In this analysis of sex-specific treatment characteristics and 30-day mortality outcomes of critically ill patients with COVID-19 ≥ 70 yr of age, we found more tracheostomy and renal replacement therapy in male vs female patients, but no significant association of patient sex with 30-day mortality.www.gov (NCT04321265); registered 25 March 2020).RéSUMé: OBJECTIF: Les patients âgés gravement malades atteints de la COVID-19 ont été les plus vulnérables pendant la pandémie actuelle, les hommes étant plus sujets à l’hospitalisation et aux maladies graves que les femmes. Nous avons cherché à explorer les différences spécifiques au sexe dans le traitement et les devenirs après l’admission à l’unité de soins intensifs (USI) dans cette cohorte. MéTHODE: Nous avons effectué une analyse spécifique au sexe chez des patients gravement malades âgés de ≥ 70 ans atteints de COVID-19 qui ont été inclus dans l’étude prospective multicentrique internationale COVIP. Tous les patients ont été analysés pour connaître les détails de leur admission à l’USI et les caractéristiques de leur traitement. Nous avons réalisé une analyse de régression ajustée à plusieurs niveaux pour élucider les associations entre le sexe et la mortalité à 30 jours. RéSULTATS: Au total, 3159 patients (69,8 % d’hommes, 30,2 % de femmes; âge médian, 75 ans) ont été inclus. Les patients de sexe masculin étaient significativement plus en forme que les patientes, tel que déterminé par l’échelle de fragilité clinique (bonne santé, 67 % vs 54 %; vulnérables, 14 % vs 19 %; fragiles, 19 % vs 27 %; P0,001). Les patients de sexe masculin ont plus souvent bénéficié d’une trachéostomie (20 % vs 14 %; rapport de cotes [RC], 1,57; P0,001), d’un traitement vasopresseur (69 % vs 62 %; RC, 1,25; P = 0,02) et d’un traitement substitutif de l’insuffisance rénale (17 % vs 11 %; RC, 1,96; P0,001). Il n’y avait aucune différence en matière de ventilation mécanique, de limites des traitements de maintien en vie et de mortalité brute à 30 jours (50 % d’hommes vs 49 % de femmes; RC, 1,11; P = 0,19), ce qui est demeuré le cas après ajustement pour tenir compte de la gravité de la maladie, de la fragilité, de l’âge et des limites du traitement (RC, 1,17 ; intervalle de confiance à 95 %, 0,94 à 1,45; P = 0,16). CONCLUSION: Dans cette analyse des caractéristiques de traitement spécifiques au sexe et des résultats de mortalité à 30 jours des patients gravement malades atteints de COVID-19 de ≥ 70 ans, nous avons noté un nombre plus élevé de trachéotomies et de traitements substitutifs de l’insuffisance rénale chez les hommes vs les femmes, mais aucune association significative entre le sexe des patients et la mortalité à 30 jours. ENREGISTREMENT DE L’éTUDE: www.ClinicalTrials.gov (NCT04321265); enregistré le 25 mars 2020.
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- 2022
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28. Consent is a confounding factor in a prospective observational study of critically ill elderly patients
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Flaatten, Hans, primary, Guidet, Bertrand, additional, Jung, Christian, additional, Boumendil, Ariane, additional, Leaver, Susannah, additional, Szczeklik, Wojciech, additional, Artigas, Antonio, additional, Andersen, Finn, additional, Moreno, Rui, additional, Walther, Sten, additional, Oeyen, Sandra, additional, Schefold, Joerg C., additional, Marsh, Brian, additional, Joannidis, Michael, additional, Elhadi, Muhammed, additional, Nalapko, Yuriy, additional, Fjølner, Jesper, additional, and de Lange, Dylan W., additional
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- 2022
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29. Low serum creatine kinase activity is associated with worse outcome in critically ill patients
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Van de Moortel, Lot, Speeckaert, Marijn M., Fiers, Tom, Oeyen, Sandra, Decruyenaere, Johan, and Delanghe, Joris
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- 2014
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30. Influence of neutropenia on mortality of critically ill cancer patients: results of a meta-analysis on individual data
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Georges, Quentin, Azoulay, Elie, Mokart, Djamel, Soares, Marcio, Jeon, Kyeongman, Oeyen, Sandra, Rhee, Chin Kook, Gruber, Pascale, Ostermann, Marlies, Hill, Quentin A., Depuydt, Pieter, Ferra, Christelle, Toffart, Anne-Claire, Schellongowski, Peter, Müller, Alice, Lemiale, Virginie, Tinquaut, Fabien, Bourmaud, Aurélie, and Darmon, Michaël
- Published
- 2018
- Full Text
- View/download PDF
31. Relationship between the Clinical Frailty Scale and short-term mortality in patients ≥ 80 years old acutely admitted to the ICU: a prospective cohort study
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Fronczek, Jakub, Polok, Kamil, de Lange, Dylan W., Jung, Christian, Beil, Michael, Rhodes, Andrew, Fjølner, Jesper, Górka, Jacek, Andersen, Finn H., Artigas, Antonio, Cecconi, Maurizio, Christensen, Steffen, Joannidis, Michael, Leaver, Susannah, Marsh, Brian, Morandi, Alessandro, Moreno, Rui, Oeyen, Sandra, Agvald-Öhman, Christina, Bollen Pinto, Bernardo, Schefold, Joerg C., Valentin, Andreas, Walther, Sten, Watson, Ximena, Zafeiridis, Tilemachos, Sviri, Sigal, van Heerden, Peter Vernon, Flaatten, Hans, Guidet, Bertrand, Szczeklik, Wojciech, Schmutz, R., Wimmer, F., Eller, P., Joannidis, M., De Buysscher, P., De Neve, N., Oeyen, S., Swinnen, W., Bollen Pinto, B., Abraham, P., Hergafi, L., Schefold, J. C., Biskup, E., Piza, P., Taliadoros, I., Fjølner, J., Dey, N., Sølling, C., Rasmussen, B. S., Christensen, S., Forceville, X., Besch, G., Mentec, H., Michel, P., Mateu, P., Vettoretti, L., Bourenne, J., Marin, N., Guillot, M., Aissaoui, N., Goulenok, C., Thieulot-Rolin, N., Messika, J., Lamhaut, L., Guidet, B., Charron, C., Lauten, A., Sacher, A. L., Brenner, T., Franz, M., Bloos, F., Ebelt, H., Schaller, S. J., Fuest, K., Rabe, C., Dieck, T., Steiner, S., Graf, T., Nia, A. M., Jung, C., Janosi, R. A., Meybohm, P., Simon, P., Utzolino, S., Rahmel, T., Barth, E., Schuster, M., Aidoni, Z., Aloizos, S., Tasioudis, P., Lampiri, K., Zisopoulou, V., Ravani, I., Pagaki, E., Antoniou, A., Katsoulas, T. A., Kounougeri, A., Marinakis, G., Tsimpoukas, F., Spyropoulou, A., Zygoulis, P., Kyparissi, A., Gupta, M., Gurjar, M., Maji, I. M., Hayes, I., Marsh, B., Kelly, Y., Westbrook, A., Fitzpatrick, G., Maheshwari, D., Motherway, C., Negri, G., Spadaro, S., Nattino, G., Pedeferri, M., Boscolo, A., Rossi, S., Calicchio, G., Cubattoli, L., Di Lascio, G., Barbagallo, M., Berruto, F., Codazzi, D., Bottazzi, A., Fumagalli, P., Negro, G., Lupi, G., Savelli, F., Vulcano, G. A., Fumagalli, R., Marudi, A., Lefons, U., Lembo, R., Babini, M., Paggioro, A., Parrini, V., Zaccaria, M., Clementi, S., Gigliuto, C., Facondini, F., Pastorini, S., Munaron, S., Calamai, I., Bocchi, A., Adorni, A., Bocci, M. G., Cortegiani, A., Casalicchio, T., Mellea, S., Graziani, E., Barattini, M., Brizio, E., Rossi, M., Hahn, M., Flaatten, H., Kemmerer, N., Strietzel, H. F., Dybwik, K., Legernaes, T., Klepstad, P., Olaussen, E. B., Olsen, K. I., Brresen, O. M., Bjorsvik, G., Andersen, F. H., Maini, S., Fehrle, L., Czuczwar, M., Krawczyk, P., Ziętkiewicz, M., Nowak, Ł. R., Kotfis, K., Cwyl, K., Gajdosz, R., Biernawska, J., Bohatyrewicz, R., Gawda, R., Grudzień, P., Nasiłowski, P., Popek, N., Cyrankiewicz, W., Wawrzyniak, K., Wnuk, M., Maciejewski, D., Studzińska, D., Żukowski, M., Bernas, S., Piechota, M., Szczeklik, W., Nowak-Kózka, I., Fronczek, J., Serwa, M., Machała, W., Stefaniak, J., Wujtewicz, M., Maciejewski, P., Szymkowiak, M., Adamik, B., Polok, K., Górka, J., Catorze, N., Branco, M. C., Barros, N., Barros, I., Krystopchuk, A., Honrado, T., Sousa, C., Munoz, F., Rebelo, M., Gomes, R., Nunes, J., Dias, C., Fernandes, A. M., Petrisor, C., Constantin, B., Belskiy, V., Boskholov, B., Rodriguez, E., Aguilar, G., Masdeu, G., Jaimes, M. I., Mira, A. P., Bodi, M. A., Mendoza, J. A. B., López-Cuenca, S., Guzman, M. H., Rico-Feijoo, J., Ibarz, M., Alvarez, J. Trenado, Kawati, R., Sivik, J., Nauska, J., Smole, D., Parenmark, F., Lyrén, J., Rockstroh, K., Rydén, S., Spångfors, M., Strinnholm, M., Walther, S., De Geer, L., Nordlund, P., Pålsson, S., Zetterquist, H., Nilsson, A., Thiringer, K., Jungner, M., Bark, B., Nordling, B., Sköld, H., Brorsson, C., Persson, S., Bergström, A., Berkius, J., Holmström, J., van Dijk, I., van Lelyveld-Haas, L. E. M., Jansen, T., Nooteboom, F., van der Voort, P. H. J., de Lange, D., Dieperink, W., de Waard, M. C., de Smet, A. G. E., Bormans, L., Dormans, T., Dempsey, G., Mathew, S. J., Raj, A. S., Grecu, I., Cupitt, J., Lawton, T., Clark, R., Popescu, M., Spittle, N., Faulkner, M., Cowton, A., Williams, P., Elloway, E., Reay, M., Chukkambotla, S., Kumar, R., Al-Subaie, N., Kent, L., Tamm, T., Kajtor, I., Burns, K., Pugh, R., Ostermann, M., Kam, E., Bowyer, H., Smith, N., Templeton, M., Henning, J., Goffin, K., Kapoor, R., Laha, S., Chilton, P., Khaliq, W., Crayford, A., Coetzee, S., Tait, M., Stoker, W., Gimenez, M., Pope, A., Camsooksai, J., Pogson, D., Quigley, K., Ritzema, J., Hormis, A., Boulanger, C., Balasubramaniam, M., Vamplew, L., Burt, K., Martin, D., Craig, J., Prowle, J., Doyle, N., Shelton, J., Scott, C., Donnison, P., Shelton, S., Frey, C., Ryan, C., Spray, D., Barnes, V., Barnes, K., Ridgway, S., Saha, R., Clark, T., Wood, J., Bolger, C., Bassford, C., Lewandowski, J., Zhao, X., Humphreys, S., Dowling, S., Richardson, N., Burtenshaw, A., Stevenson, C., Wilcock, D., Nalapko, Y., Helbok, R., Nollet, J., de Neve, N., Mikačić, M., Bastiansen, A., Husted, A., Dahle, B. E. S., Cramer, C., Ørsnes, D., Thomsen, J. Edelberg, Pedersen, J. J., Enevoldsen, M. Hummelmose, Elkmann, T., Kubisz-Pudelko, A., Collins, A., Hart, C., Randell, G., Filipe, H., Welters, I. D., Evans, J., Lord, J., Jones, J., Ball, J., North, J., Salaunkey, K., De Gordoa, L. Ortiz-Ruiz, Bell, L., Vizcaychipi, M., Mupudzi, M., Lea-Hagerty, M., Spivey, M., Love, N., White, N., Morgan, P., Wakefield, P., Savine, R., Jacob, R., Innes, R., Rose, S., Leaver, S., Mane, T., Ogbeide, V., Baird, Y., Romen, A., Galbois, A., Vinsonneau, C., Thevenin, D., Guerot, E., Savary, G., Chagnon, J. L., Rigaud, J. P., Quenot, J. P., Castaneray, J., Rosman, J., Maizel, J., Tiercelet, K., Hovaere, M. M., Messika, M., Djibré, M., Rolin, N., Burtin, P., Garcon, P., Nseir, S., Valette, X., Horacek, M., Bruno, R. Romano, Allgäuer, S., Dubler, S., Schering, S., Koutsikou, A., Vakalos, A., Raitsiou, B., Flioni, E. N., Neou, E., Papathanakos, G., Koutsodimitropoulos, I., Aikaterini, K., Rovina, N., Kourelea, S., Polychronis, T., Zidianakis, V., Konstantinia, V., Read, C., Martin-Loeches, I., Cracchiolo, A. Neville, Morigi, A., Brusa, S., Elhadi, A., Tarek, A., Khaled, A., Ahmed, H., Belkhair, W. Ali, Cornet, A. D., Gommers, D., van Boven, E., Haringman, J., Haas, L., van den Berg, L., Hoiting, O., de Jager, P., Gerritsen, R. T., Breidablik, A., Slapgard, A., Rime, A. K., Jannestad, B., Sjøbøe, B., Rice, E., Jensen, J. P., Langørgen, J., Tøien, K., Strand, K., Biernacka, A., Kluzik, A., Kudlinski, B., Hymczak, H., Solek-Pastuszka, J., Zorska, J., Krzych, Ł. J., Zukowski, M., Lipińska-Gediga, M., Pietruszko, M., Kozera, N., Sendur, P., Zatorski, P., Galkin, P., Kościuczuk, U., Gola, W., Pinto, A. F., Santos, A. R., Ferreira, I. A., Blanco, J. B., Carvalho, J. T., Maia, J., Candeias, N., Lores, A., Cilloniz, C., Perez-Torres, D., Maseda, E., Prol-Silva, E., Eixarch, G., Gomà, G., Velasco, G. Navarro, Jaimes, M. Irazábal, Villamayor, M. Ibarz, Fernández, N. Llamas, Cubero, P. Jimeno, Tomasa, T., Sjöqvist, A., Schiöler, F., Westberg, H., Thiringer, K. Kleiven, Boroli, F., Eckert, P., Yıldız, I., Yovenko, I., for the VIP1, [missing], VIP2 study group, [missing], Fronczek, Jakub, Polok, Kamil, de Lange, Dylan W, Jung, Christian, Beil, Michael, Rhodes, Andrew, Fjølner, Jesper, Górka, Jacek, Andersen, Finn H, Artigas, Antonio, Cecconi, Maurizio, Christensen, Steffen, Joannidis, Michael, Leaver, Susannah, Marsh, Brian, Morandi, Alessandro, Moreno, Rui, Oeyen, Sandra, Agvald-Öhman, Christina, Bollen Pinto, Bernardo, Schefold, Joerg C, Valentin, Andrea, Walther, Sten, Watson, Ximena, Zafeiridis, Tilemacho, Sviri, Sigal, van Heerden, Peter Vernon, Flaatten, Han, Guidet, Bertrand, Szczeklik, Wojciech, R Schmutz, F Wimmer, P Eller, M Joannidis, P De Buysscher, N De Neve, S Oeyen, W Swinnen, B Bollen Pinto, P Abraham, L Hergafi, J C Schefold, E Biskup, P Piza, I Taliadoros, J Fjølner, N Dey, C Sølling, B S Rasmussen, S Christensen, X Forceville, G Besch, H Mentec, P Michel, P Mateu, P Michel, L Vettoretti, J Bourenne, N Marin, M Guillot, N Aissaoui, C Goulenok, N Thieulot-Rolin, J Messika, L Lamhaut, B Guidet, C Charron, A Lauten, A L Sacher, T Brenner, M Franz, F Bloos, H Ebelt, S J Schaller, K Fuest, C Rabe, T Dieck, S Steiner, T Graf, A M Nia, C Jung, R A Janosi, P Meybohm, P Simon, S Utzolino, T Rahmel, E Barth, C Jung, M Schuster, Z Aidoni, S Aloizos, P Tasioudis, K Lampiri, V Zisopoulou, I Ravani, E Pagaki, A Antoniou, T A Katsoulas, A Kounougeri, G Marinakis, F Tsimpoukas, A Spyropoulou, P Zygoulis, A Kyparissi, M Gupta, M Gurjar, I M Maji, I Hayes, B Marsh, Y Kelly, A Westbrook, G Fitzpatrick, D Maheshwari, C Motherway, G Negri, S Spadaro, G Nattino, M Pedeferri, A Boscolo, S Rossi, G Calicchio, L Cubattoli, G Di Lascio, M Barbagallo, F Berruto, D Codazzi, A Bottazzi, P Fumagalli, G Negro, G Lupi, F Savelli, G A Vulcano, R Fumagalli, A Marudi, U Lefons, R Lembo, M Babini, A Paggioro, V Parrini, M Zaccaria, S Clementi, C Gigliuto, F Facondini, S Pastorini, S Munaron, I Calamai, A Bocchi, A Adorni, M G Bocci, A Cortegiani, T Casalicchio, S Mellea, E Graziani, M Barattini, E Brizio, M Rossi, M Hahn, H Flaatten, N Kemmerer, H F Strietzel, K Dybwik, T Legernaes, P Klepstad, E B Olaussen, K I Olsen, O M Brresen, G Bjorsvik, F H Andersen, S Maini, L Fehrle, M Czuczwar, P Krawczyk, M Ziętkiewicz, Ł R Nowak, K Kotfis, K Cwyl, R Gajdosz, J Biernawska, R Bohatyrewicz, R Gawda, P Grudzień, P Nasiłowski, N Popek, W Cyrankiewicz, K Wawrzyniak, M Wnuk, D Maciejewski, D Studzińska, M Żukowski, S Bernas, M Piechota, W Szczeklik, I Nowak-Kózka, J Fronczek, M Serwa, W Machała, J Stefaniak, M Wujtewicz, P Maciejewski, M Szymkowiak, B Adamik, K Polok, J Górka, N Catorze, M C Branco, N Barros, I Barros, A Krystopchuk, T Honrado, C Sousa, F Munoz, M Rebelo, R Gomes, J Nunes, C Dias, A M Fernandes, C Petrisor, B Constantin, V Belskiy, B Boskholov, E Rodriguez, G Aguilar, G Masdeu, M I Jaimes, A P Mira, M A Bodi, J A B Mendoza, S López-Cuenca, M H Guzman, J Rico-Feijoo, M Ibarz, J Trenado Alvarez, R Kawati, J Sivik, J Nauska, D Smole, F Parenmark, J Lyrén, K Rockstroh, S Rydén, M Spångfors, M Strinnholm, S Walther, L De Geer, P Nordlund, S Pålsson, H Zetterquist, A Nilsson, K Thiringer, M Jungner, B Bark, B Nordling, H Sköld, C Brorsson, S Persson, A Bergström, J Berkius, J Holmström, I van Dijk, L E M van Lelyveld-Haas, T Jansen, F Nooteboom, P H J van der Voort, D de Lange, W Dieperink, M C de Waard, A G E de Smet, L Bormans, T Dormans, G Dempsey, S J Mathew, A S Raj, I Grecu, J Cupitt, T Lawton, R Clark, M Popescu, N Spittle, M Faulkner, A Cowton, P Williams, E Elloway, M Reay, S Chukkambotla, R Kumar, N Al-Subaie, L Kent, T Tamm, I Kajtor, K Burns, R Pugh, M Ostermann, E Kam, H Bowyer, N Smith, M Templeton, J Henning, K Goffin, R Kapoor, S Laha, P Chilton, W Khaliq, A Crayford, S Coetzee, M Tait, W Stoker, M Gimenez, A Pope, J Camsooksai, D Pogson, K Quigley, J Ritzema, A Hormis, C Boulanger, M Balasubramaniam, L Vamplew, K Burt, D Martin, I Grecu, J Craig, J Prowle, N Doyle, J Shelton, C Scott, P Donnison, S Shelton, C Frey, C Ryan, D Spray, C Ryan, V Barnes, K Barnes, S Ridgway, R Saha, L Kent, T Clark, J Wood, C Bolger, C Bassford, A Cowton, J Lewandowski, X Zhao, S Humphreys, S Dowling, N Richardson, A Burtenshaw, C Stevenson, D Wilcock, Y Nalapko, M Joannidis, P Eller, R Helbok, R Schmutz, J Nollet, N de Neve, P De Buysscher, S Oeyen, W Swinnen, M Mikačić, A Bastiansen, A Husted, B E S Dahle, C Cramer, C Sølling, D Ørsnes, J Edelberg Thomsen, J J Pedersen, M Hummelmose Enevoldsen, T Elkmann, A Kubisz-Pudelko, A Pope, A Collins, A S Raj, C Boulanger, C Frey, C Hart, C Bolger, D Spray, G Randell, H Filipe, I D Welters, I Grecu, J Evans, J Cupitt, J Lord, J Henning, J Jones, J Ball, J North, K Salaunkey, L Ortiz-Ruiz De Gordoa, L Bell, M Balasubramaniam, M Vizcaychipi, M Faulkner, M Mupudzi, M Lea-Hagerty, M Reay, M Spivey, N Love, N Spittle, N White, P Williams, P Morgan, P Wakefield, R Savine, R Jacob, R Innes, R Kapoor, S Humphreys, S Rose, S Dowling, S Leaver, T Mane, T Lawton, V Ogbeide, W Khaliq, Y Baird, A Romen, A Galbois, B Guidet, C Vinsonneau, C Charron, D Thevenin, E Guerot, G Besch, G Savary, H Mentec, J L Chagnon, J P Rigaud, J P Quenot, J Castaneray, J Rosman, J Maizel, K Tiercelet, L Vettoretti, M M Hovaere, M Messika, M Djibré, N Rolin, P Burtin, P Garcon, S Nseir, X Valette, C Rabe, E Barth, H Ebelt, K Fuest, M Franz, M Horacek, M Schuster, P Meybohm, R Romano Bruno, S Allgäuer, S Dubler, S J Schaller, S Schering, S Steiner, T Dieck, T Rahmel, T Graf, A Koutsikou, A Vakalos, B Raitsiou, E N Flioni, E Neou, F Tsimpoukas, G Papathanakos, G Marinakis, I Koutsodimitropoulos, K Aikaterini, N Rovina, S Kourelea, T Polychronis, V Zidianakis, V Konstantinia, Z Aidoni, B Marsh, C Motherway, C Read, I Martin-Loeches, A Neville Cracchiolo, A Morigi, I Calamai, S Brusa, A Elhadi, A Tarek, A Khaled, H Ahmed, W Ali Belkhair, A D Cornet, D Gommers, D de Lange, E van Boven, J Haringman, L Haas, L van den Berg, O Hoiting, P de Jager, R T Gerritsen, T Dormans, W Dieperink, A Breidablik, A Slapgard, A K Rime, B Jannestad, B Sjøbøe, E Rice, F H Andersen, H F Strietzel, J P Jensen, J Langørgen, K Tøien, K Strand, M Hahn, P Klepstad, A Biernacka, A Kluzik, B Kudlinski, D Maciejewski, D Studzińska, H Hymczak, J Stefaniak, J Solek-Pastuszka, J Zorska, K Cwyl, Ł J Krzych, M Zukowski, M Lipińska-Gediga, M Pietruszko, M Piechota, M Serwa, M Czuczwar, M Ziętkiewicz, N Kozera, P Nasiłowski, P Sendur, P Zatorski, P Galkin, R Gawda, U Kościuczuk, W Cyrankiewicz, W Gola, A F Pinto, A M Fernandes, A R Santos, C Sousa, I Barros, I A Ferreira, J B Blanco, J T Carvalho, J Maia, N Candeias, N Catorze, V Belskiy, A Lores, A P Mira, C Cilloniz, D Perez-Torres, E Maseda, E Rodriguez, E Prol-Silva, G Eixarch, G Gomà, G Aguilar, G Navarro Velasco, M Irazábal Jaimes, M Ibarz Villamayor, N Llamas Fernández, P Jimeno Cubero, S López-Cuenca, T Tomasa, A Sjöqvist, C Brorsson, F Schiöler, H Westberg, J Nauska, J Sivik, J Berkius, K Kleiven Thiringer, L De Geer, S Walther, F Boroli, J C Schefold, L Hergafi, P Eckert, I Yıldız, I Yovenko, Y Nalapko, R Pugh, and Critical Care
- Subjects
Male ,Short term mortality ,Critical Care and Intensive Care Medicine ,Cohort Studies ,0302 clinical medicine ,kwetsbaarheid ,Medicine and Health Sciences ,80 and over ,Medicine ,610 Medicine & health ,Prospective cohort study ,Correlation of Data ,11 Medical and Health Sciences ,Aged, 80 and over ,OUTCOMES ,Intensive care units ,Frailty ,VIP1 ,Aged,  ,Medical emergencies. Critical care. Intensive care. First aid ,Scale (social sciences) ,Female ,prospectief onderzoek ,Life Sciences & Biomedicine ,CRITICALLY-ILL PATIENTS ,Study groups ,medicine.medical_specialty ,Anestesi och intensivvård ,80 jaar en ouder ,INTENSIVE-CARE ,BED AVAILABILITY ,NO ,03 medical and health sciences ,Critical Care Medicine ,Intensive care ,sterfte ,General & Internal Medicine ,Humans ,Aged ,Prospective studies ,Mortality ,In patient ,ddc:610 ,Intensive Care Units ,Logistic Models ,Prospective Studies ,Science & Technology ,Anesthesiology and Intensive Care ,business.industry ,RC86-88.9 ,Research ,030208 emergency & critical care medicine ,ADULTS ,Aged, 80 and over ,Emergency & Critical Care Medicine ,030228 respiratory system ,intensivecareafdelingen ,Critical illness ,Emergency medicine ,VIP2 study group ,  ,CRITICAL ILLNESS ,business - Abstract
Background The Clinical Frailty Scale (CFS) is frequently used to measure frailty in critically ill adults. There is wide variation in the approach to analysing the relationship between the CFS score and mortality after admission to the ICU. This study aimed to evaluate the influence of modelling approach on the association between the CFS score and short-term mortality and quantify the prognostic value of frailty in this context. Methods We analysed data from two multicentre prospective cohort studies which enrolled intensive care unit patients ≥ 80 years old in 26 countries. The primary outcome was mortality within 30-days from admission to the ICU. Logistic regression models for both ICU and 30-day mortality included the CFS score as either a categorical, continuous or dichotomous variable and were adjusted for patient’s age, sex, reason for admission to the ICU, and admission Sequential Organ Failure Assessment score. Results The median age in the sample of 7487 consecutive patients was 84 years (IQR 81–87). The highest fraction of new prognostic information from frailty in the context of 30-day mortality was observed when the CFS score was treated as either a categorical variable using all original levels of frailty or a nonlinear continuous variable and was equal to 9% using these modelling approaches (p p Conclusion Knowledge about a patient’s frailty status adds a substantial amount of new prognostic information at the moment of admission to the ICU. Arbitrary simplification of the CFS score into fewer groups than originally intended leads to a loss of information and should be avoided. Trial registration NCT03134807 (VIP1), NCT03370692 (VIP2)
- Published
- 2021
- Full Text
- View/download PDF
32. Consent is a confounding factor in a prospective observational study of critically ill elderly patients
- Author
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Flaatten, Hans, Guidet, Bertrand, Jung, Christian, Boumendil, Ariane, Leaver, Susannah, Szczeklik, Wojciech, Artigas, Antonio, Andersen, Finn, Moreno, Rui, Walther, Sten, Oeyen, Sandra, Schefold, Joerg C., Marsh, Brian, Joannidis, Michael, Elhadi, Muhammed, Nalapko, Yuriy, Fjolner, Jesper, de Lange, Dylan W., Flaatten, Hans, Guidet, Bertrand, Jung, Christian, Boumendil, Ariane, Leaver, Susannah, Szczeklik, Wojciech, Artigas, Antonio, Andersen, Finn, Moreno, Rui, Walther, Sten, Oeyen, Sandra, Schefold, Joerg C., Marsh, Brian, Joannidis, Michael, Elhadi, Muhammed, Nalapko, Yuriy, Fjolner, Jesper, and de Lange, Dylan W.
- Abstract
During analysis of a prospective multinational observation study of critically ill patients >= 80 years of age, the VIP2 study, we also studied the effects of differences in country consent for study inclusion. This is a post hoc analysis where the ICUs were analyzed according to requirement for study consent. Group A: ICUs in countries with no requirement for consent at admission but with deferred consent in survivors. Group B: ICUs where some form of active consent at admission was necessary either from the patient or surrogates. Patients characteristics, the severity of disease and outcome variables were compared. Totally 3098 patients were included from 21 countries. The median age was 84 years (IQR 81-87). England was not included because of changing criteria for consent during the study period. Group A (7 countries, 1200 patients), and group B (15 countries, 1898 patients) were comparable with age and gender distribution. Cognition was better preserved prior to admission in group B. Group A suffered from more organ dysfunction at admission compared to group B with Sequential Organ Failure Assessment score median 8 and 6 respectively. ICU survival was lower in group A, 66.2% compared to 78.4% in group B (p<0.001). We hence found profound effects on outcomes according to differences in obtaining consent for this study. It seems that the most severely ill elderly patients were less often recruited to the study in group B. Hence the outcome measured as survival was higher in this group. We therefore conclude that consent likely is an important confounding factor for outcome evaluation in international studies focusing on old patients., Funding Agencies|Western Health region in Norway [F-11487]
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- 2022
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33. Short-term mortality or patients >= 80 years old admitted to European intensive care units: an international observational study
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Fronczek, Jakub, Flaatten, Hans, Guidet, Bertrand, Polok, Kamil, Andersen, Finn H., Andrew, Benjamin Y., Artigas, Antonio, Beil, Michael, Cecconi, Maurizio, Christensen, Steffen, de Lange, Dylan W., Fjolner, Jesper, Gorka, Jacek, Joannidis, Michael, Jung, Christian, Kusza, Krzysztof, Leaver, Susannah, Marsh, Brian, Morandi, Alessandro, Moreno, Rui, Oeyen, Sandra, Owczuk, Radoslaw, Agvald-Ohman, Christina, Pinto, Bernardo B., Rhodes, Andrew, Schefold, Joerg C., Soliman, Ivo W., Valentin, Andreas, Walther, Sten, Watson, Ximena, Zafeiridis, Tilemachos, Szczeklik, Wojciech, Fronczek, Jakub, Flaatten, Hans, Guidet, Bertrand, Polok, Kamil, Andersen, Finn H., Andrew, Benjamin Y., Artigas, Antonio, Beil, Michael, Cecconi, Maurizio, Christensen, Steffen, de Lange, Dylan W., Fjolner, Jesper, Gorka, Jacek, Joannidis, Michael, Jung, Christian, Kusza, Krzysztof, Leaver, Susannah, Marsh, Brian, Morandi, Alessandro, Moreno, Rui, Oeyen, Sandra, Owczuk, Radoslaw, Agvald-Ohman, Christina, Pinto, Bernardo B., Rhodes, Andrew, Schefold, Joerg C., Soliman, Ivo W., Valentin, Andreas, Walther, Sten, Watson, Ximena, Zafeiridis, Tilemachos, and Szczeklik, Wojciech
- Abstract
Background: Limited evidence suggests variation in mortality of older critically ill adults across Europe. We aimed to investigate regional differences in mortality among very old ICU patients. Methods: Multilevel analysis of two international prospective cohort studies. We included patients >= 80 yr old from 322 ICUs located in 16 European countries. The primary outcome was mortality within 30 days from admission to the ICU. Results are presented as n (%) with 95% confidence intervals and odds ratios (ORs). Results: Of 8457 patients, 2944 (36.9% [35.9-38.0%]) died within 30 days. Crude mortality rates varied widely between participating countries (from 10.1% [6.4-15.6%] to 45.1% [41.1-49.2%] in the ICU and from 21.3% [16.3-28.9%] to 55.3% [51.1-59.5%] within 30 days). After adjustment for confounding variables, the variation in 30-day mortality between countries was substantially smaller than between ICUs (median OR 1.14 vs 1.58). Healthcare expenditure per capita (OR=0.84 per $1000 [0.75-0.94]) and social health insurance framework (OR=1.43 [1.01-2.01]) were associated with ICU mortality, but the direction and magnitude of these relationships was uncertain in 30-day follow-up. Volume of admissions was associated with lower mortality both in the ICU (OR=0.81 per 1000 annual ICU admissions [0.71-0.94]) and in 30-day follow-up (OR=0.86 [0.76-0.97]). Conclusion: The apparent variation in short-term mortality rates of older adults hospitalised in ICUs across Europe can be largely attributed to differences in the clinical profile of patients admitted. The volume-outcome relationship identified in this population requires further investigation., Funding Agencies|Polish National Agency for Academic Exchange, Iwanowska Programme [PPN/IWA/2019/1/00106]; Polpharma Scientific Foundation
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34. Consent is a confounding factor in a prospective observational study of critically ill elderly patients
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Medische Staf Intensive Care, NVIC bedrijfsvoering, Brain, Infection & Immunity, Flaatten, Hans, Guidet, Bertrand, Jung, Christian, Boumendil, Ariane, Leaver, Susannah, Szczeklik, Wojciech, Artigas, Antonio, Andersen, Finn, Moreno, Rui, Walther, Sten, Oeyen, Sandra, Schefold, Joerg C, Marsh, Brian, Joannidis, Michael, Elhadi, Muhammed, Nalapko, Yuriy, Fjølner, Jesper, de Lange, Dylan W, Medische Staf Intensive Care, NVIC bedrijfsvoering, Brain, Infection & Immunity, Flaatten, Hans, Guidet, Bertrand, Jung, Christian, Boumendil, Ariane, Leaver, Susannah, Szczeklik, Wojciech, Artigas, Antonio, Andersen, Finn, Moreno, Rui, Walther, Sten, Oeyen, Sandra, Schefold, Joerg C, Marsh, Brian, Joannidis, Michael, Elhadi, Muhammed, Nalapko, Yuriy, Fjølner, Jesper, and de Lange, Dylan W
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35. A retrospective cohort study comparing differences in 30-day mortality among critically ill patients aged ≥ 70 years treated in European tax-based healthcare systems (THS) versus social health insurance systems
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Medische Staf Intensive Care, NVIC bedrijfsvoering, Brain, Infection & Immunity, Wernly, Bernhard, Flaatten, Hans, Beil, Michael, Fjølner, Jesper, Bruno, Raphael Romano, Artigas, Antonio, Pinto, Bernardo Bollen, Schefold, Joerg C, Kelm, Malte, Sigal, Sviri, van Heerden, Peter Vernon, Szczeklik, Wojciech, Elhadi, Muhammed, Joannidis, Michael, Rezar, Richard, Oeyen, Sandra, Wolff, Georg, Marsh, Brian, Andersen, Finn H, Moreno, Rui, Wernly, Sarah, Leaver, Susannah, Boumendil, Ariane, De Lange, Dylan W, Guidet, Bertrand, Perings, Stefan, Jung, Christian, Medische Staf Intensive Care, NVIC bedrijfsvoering, Brain, Infection & Immunity, Wernly, Bernhard, Flaatten, Hans, Beil, Michael, Fjølner, Jesper, Bruno, Raphael Romano, Artigas, Antonio, Pinto, Bernardo Bollen, Schefold, Joerg C, Kelm, Malte, Sigal, Sviri, van Heerden, Peter Vernon, Szczeklik, Wojciech, Elhadi, Muhammed, Joannidis, Michael, Rezar, Richard, Oeyen, Sandra, Wolff, Georg, Marsh, Brian, Andersen, Finn H, Moreno, Rui, Wernly, Sarah, Leaver, Susannah, Boumendil, Ariane, De Lange, Dylan W, Guidet, Bertrand, Perings, Stefan, and Jung, Christian
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- 2022
36. Correction to: Increased 30-day mortality in very old ICU patients with COVID-19 compared to patients with respiratory failure without COVID-19 (Intensive Care Medicine, (2022), 48, 4, (435-447), 10.1007/s00134-022-06642-z)
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Medische Staf Intensive Care, NVIC bedrijfsvoering, Brain, Infection & Immunity, Guidet, Bertrand, Jung, Christian, Flaatten, Hans, Fjolner, Jesper, Artigas, Antonio, Pinto, Bernardo Bollen, Schefold, Joerg C., Beil, Michael, Sigal, Sviri, van Heerden, Peter Vernon, Szczeklik, Wojciech, Joannidis, Michael, Oeyen, Sandra, Kondili, Eumorfia, Marsh, Brian, Andersen, Finn H., Moreno, Rui, Cecconi, Maurizio, Leaver, Susannah, De lange, Dylan W., Boumendil, Ariane, Medische Staf Intensive Care, NVIC bedrijfsvoering, Brain, Infection & Immunity, Guidet, Bertrand, Jung, Christian, Flaatten, Hans, Fjolner, Jesper, Artigas, Antonio, Pinto, Bernardo Bollen, Schefold, Joerg C., Beil, Michael, Sigal, Sviri, van Heerden, Peter Vernon, Szczeklik, Wojciech, Joannidis, Michael, Oeyen, Sandra, Kondili, Eumorfia, Marsh, Brian, Andersen, Finn H., Moreno, Rui, Cecconi, Maurizio, Leaver, Susannah, De lange, Dylan W., and Boumendil, Ariane
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37. Variations in end-of-life care practices in older critically ill patients with COVID-19 in Europe
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Medische Staf Intensive Care, NVIC bedrijfsvoering, Brain, Infection & Immunity, Wernly, Bernhard, Rezar, Richard, Flaatten, Hans, Beil, Michael, Fjølner, Jesper, Bruno, Raphael Romano, Artigas, Antonio, Pinto, Bernardo Bollen, Schefold, Joerg C, Kelm, Malte, Sigal, Sviri, van Heerden, Peter Vernon, Szczeklik, Wojciech, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Wolff, Georg, Marsh, Brian, Andersen, Finn H, Moreno, Rui, Leaver, Susannah, Wernly, Sarah, Boumendil, Ariane, De Lange, Dylan W, Guidet, Bertrand, Jung, Christian, Medische Staf Intensive Care, NVIC bedrijfsvoering, Brain, Infection & Immunity, Wernly, Bernhard, Rezar, Richard, Flaatten, Hans, Beil, Michael, Fjølner, Jesper, Bruno, Raphael Romano, Artigas, Antonio, Pinto, Bernardo Bollen, Schefold, Joerg C, Kelm, Malte, Sigal, Sviri, van Heerden, Peter Vernon, Szczeklik, Wojciech, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Wolff, Georg, Marsh, Brian, Andersen, Finn H, Moreno, Rui, Leaver, Susannah, Wernly, Sarah, Boumendil, Ariane, De Lange, Dylan W, Guidet, Bertrand, and Jung, Christian
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- 2022
38. Disease-Course Adapting Machine Learning Prognostication Models in Elderly Patients Critically Ill With COVID-19: Multicenter Cohort Study With External Validation
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NVIC bedrijfsvoering, Brain, Medische Staf Intensive Care, Infection & Immunity, Jung, Christian, Mamandipoor, Behrooz, Fjølner, Jesper, Bruno, Raphael, Wernly, Bernhard, Artigas, Antonio, Bollen Pinto, Bernardo, Schefold, Joerg C, Wolff, Georg, Kelm, Malte, Beil, Michael, Sviri, Sigal, van Heerden, Peter Vernon, Szczeklik, Wojciech, Czuczwar, Miroslaw, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Zafeiridis, Tilemachos, Marsh, Brian, Andersen, Finn H, Moreno, Rui, Cecconi, Maurizio, Leaver, Susannah, De Lange, Dylan W, Guidet, Bertrand, Flaatten, Hans, Osmani, Venet, NVIC bedrijfsvoering, Brain, Medische Staf Intensive Care, Infection & Immunity, Jung, Christian, Mamandipoor, Behrooz, Fjølner, Jesper, Bruno, Raphael, Wernly, Bernhard, Artigas, Antonio, Bollen Pinto, Bernardo, Schefold, Joerg C, Wolff, Georg, Kelm, Malte, Beil, Michael, Sviri, Sigal, van Heerden, Peter Vernon, Szczeklik, Wojciech, Czuczwar, Miroslaw, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Zafeiridis, Tilemachos, Marsh, Brian, Andersen, Finn H, Moreno, Rui, Cecconi, Maurizio, Leaver, Susannah, De Lange, Dylan W, Guidet, Bertrand, Flaatten, Hans, and Osmani, Venet
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- 2022
39. Prospective longitudinal evaluation of hospitalised COVID-19 survivors 3 and 12 months after discharge
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Lorent, Natalie, primary, Vande Weygaerde, Yannick, additional, Claeys, Eveline, additional, Guler Caamano Fajardo, Ipek, additional, De Vos, Nicolas, additional, De Wever, Walter, additional, Salhi, Bihiyga, additional, Gyselinck, Iwein, additional, Bosteels, Cedric, additional, Lambrecht, Bart N., additional, Everaerts, Stephanie, additional, Verschraegen, Sven, additional, Schepers, Christophe, additional, Demeyer, Heleen, additional, Heyns, Arne, additional, Depuydt, Pieter, additional, Oeyen, Sandra, additional, Van Bleyenbergh, Pascal, additional, Godinas, Laurent, additional, Dupont, Lieven, additional, Hermans, Greet, additional, Derom, Eric, additional, Gosselink, Rik, additional, Janssens, Wim, additional, and Van Braeckel, Eva, additional
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40. Disease-course adapting machine learning prognostication models in critically ill elderly COVID-19 patients
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Jung, Christian, Mamandipoor, Behrooz, Fjølner, Jesper, Bruno, Raphael, Wernly, Bernhard, Artigas, Antonio, Bollen Pinto, Bernardo, Schefold, Joerg C, Wolff, Georg, Kelm, Malte, Beil, Michael, Sviri, Sigal, van Heerden, Peter Vernon, Szczeklik, Wojciech, Czuczwar, Miroslaw, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Zafeiridis, Tilemachos, Marsh, Brian, Andersen, Finn H, Moreno, Rui, Cecconi, Maurizio, Leaver, Susannah, De Lange, Dylan W, Guidet, Bertrand, Flaatten, Hans, Osmani, Venet, and NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
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machine learning ,pandemic ,clinical informatics ,elderly population ,COVID-19 ,prediction models ,machine-based learning ,patient data ,outcome prediction - Abstract
Funding: he support of the study in France by a grant from Fondation Assistance Publique-Hôpitaux de Paris Pour la Recherche is greatly appreciated. In Norway, the study was supported by a grant from Health Region West. In addition, EOSCsecretariat.eu provided support and has received funding from the European Union’s Horizon Programme call H2020-INFRAEOSC-05-2018-2019, grant agreement number 831644. This work was supported by the Forschungskommission of the Medical Faculty of Heinrich-Heine-University Düsseldorf (grant 2018-32 to GW and grant 2020-21 to RB for a Clinician Scientist Track). The complete list of COVIP collaborators is provided in Multimedia Appendix 10. BACKGROUND: The SARS-CoV-2 coronavirus disease (COVID-19) pandemic is challenging health care systems globally. The disease disproportionately affects the elderly population, both in terms of disease severity and mortality risk. OBJECTIVE: This study aimed to evaluate machine-learning based prognostication models for critically ill elderly COVID-19 patients, which dynamically incorporated multifaceted clinical information on the evolution of the disease. METHODS: This multi-centre cohort study obtained patient data from 151 ICUs from 26 countries (COVIP study). Different models based on the Sequential Organ Failure Assessment (SOFA), Logistic Regression (LR), Random Forest (RF) and Extreme Gradient Boosting (XGBoost) were derived as baseline models that included admission variables only. We subsequently included clinical events and time-to-event as additional variables to derive the final models using the same algorithms and compared their performance with the baseline group. Furthermore, we derived baseline and final models on a European patient cohort and externally validated them on a non-European cohort that included Asian, African and American patients. RESULTS: In total, 1,432 elderly (≥70 years) COVID-19 positive patients were admitted to an intensive care unit. Of these 809 (56.5%) patients survived up to 30 days after admission. The average length of stay was 21.6 (±18.2) days. Final models that incorporated clinical events and time-to-event provided superior performance with AUC of 0.81 (95% CI 0.804-0.811), with respect to both, the baseline models that used admission variables only and conventional ICU prediction models (SOFA-score, p
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41. results from an international observational study of patients older than 70 years
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Soliman, Ivo W, Leaver, Susannah, Flaatten, Hans, Fjølner, Jesper, Wernly, Bernhard, Bruno, Raphael R, Artigas, Antonio, Bollen Pinto, Bernardo, Schefold, Joerg C, Beil, Michael, Sviri, Sigal, van Heerden, Peter Vernon, Szczeklik, Wojciech, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Zafeiridis, Tilemachos, Wollborn, Jakob, Banzo, Maria Jose Arche, Fuest, Kristina, Marsh, Brian, Andersen, Finn H, Moreno, Rui, Boumendil, Ariane, Guidet, Bertrand, Jung, Christian, De Lange, Dylan W, and NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
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humanities - Abstract
Funding: In addition, the study was supported by a grant from the European Open Science Cloud (EOSC). EOSCsecretariat.eu has received funding from the European Union’s Horizon Programme call H2020-INFRAEOSC-05-2018-2019, grant agreement number 831644. This work was supported by the Forschungskommission of the Medical Faculty of the Heinrich-Heine-University Düsseldorf, No. 2018-32 to G.W. and No. 2020-21 to R.R.B. for a Clinician Scientist Track. BACKGROUND: health-related quality of life (HRQoL) is an important patient-centred outcome in patients surviving ICU admission for COVID-19. It is currently not clear which domains of the HRQoL are most affected. OBJECTIVE: to quantify HRQoL in order to identify areas of interventions. DESIGN: prospective observation study. SETTING: admissions to European ICUs between March 2020 and February 2021. SUBJECTS: patients aged 70 years or older admitted with COVID-19 disease. METHODS: collected determinants include SOFA-score, Clinical Frailty Scale (CFS), number and timing of ICU procedures and limitation of care, Katz Activities of Daily Living (ADL) dependence score. HRQoL was assessed at 3 months after ICU admission with the Euro-QoL-5D-5L questionnaire. An outcome of ≥4 on any of Euro-QoL-5D-5L domains was considered unfavourable. RESULTS: in total 3,140 patients from 14 European countries were included in this study. Three months after inclusion, 1,224 patients (39.0%) were alive and the EQ-5D-5L from was obtained. The CFS was associated with an increased odds ratio for an unfavourable HRQoL outcome after 3 months; OR 1.15 (95% confidence interval (CI): 0.71-1.87) for CFS 2 to OR 4.33 (95% CI: 1.57-11.9) for CFS ≧ 7. The Katz ADL was not statistically significantly associated with HRQoL after 3 months. CONCLUSIONS: in critically ill old intensive care patients suffering from COVID-19, the CFS is associated with the subjectively perceived quality of life. The CFS on admission can be used to inform patients and relatives on the risk of an unfavourable qualitative outcome if such patients survive. publishersversion published
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42. Health-related quality of life in older patients surviving ICU treatment for COVID-19: results from an international observational study of patients older than 70 years
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Soliman, Ivo, Leaver, Susannah, Flaatten, Hans, Fjølner, Jesper, Wernly, Bernhard, Bruno, Raphael, Artigas, Antonio, Bollen Pinto, Bernardo, Schefold, Joerg, Beil, Michael, Sviri, Sigal, van Heerden, Peter Vernon, Szczeklik, Wojciech, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Zafeiridis, Tilemachos, Wollborn, Jakob, Banzo, Maria Jose Arche, Fuest, Kristina, Marsh, Brian, Andersen, Finn, Moreno, Rui, Boumendil, Ariane, Guidet, Bertrand, Jung, Christian, de Lange, Dylan, Eller, Philipp, Mesotten, Dieter, Reper, Pascal, Swinnen, Walter, Brix, Helene, Brushoej, Jens, Villefrance, Maja, Nedergaard, Helene Korvenius, Bjerregaard, Anders Thais, Balleby, Ida Riise, Andersen, Kasper, Hansen, Maria Aagaard, Uhrenholt, Stine, Bundgaard, Helle, Mohamed, Aliae Ar Hussein, Salah, Rehab, Ali, Yasmin Khairy Nasreldin Mohamed, Wassim, Kyrillos, Elgazzar, Yumna, Tharwat, Samar, Azzam, Ahmed, Habib, Ayman Abdelmawgoad, Abosheaishaa, Hazem Maarouf, Azab, Mohammed, Galbois, Arnaud, Charron, Cyril, Guerot, Emmanuel, Besch, Guillaume, Rigaud, Jean-Philippe, Maizel, Julien, Djibré, Michel, Burtin, Philippe, Garcon, Pierre, Nseir, Saad, Valette, Xavier, Alexandru, Nica, Marin, Nathalie, Vaissiere, Marie, Plantefeve, Gaëtan, Vanderlinden, Thierry, Jurcisin, Igor, Megarbane, Bruno, Caillard, Anais, Valent, Arnaud, Garnier, Marc, Besset, Sebastien, Oziel, Johanna, Raphaelen, Jean-Herlé, Dauger, Stéphane, Dumas, Guillaume, Goncalves, Bruno, Piton, Gaël, Bruno, Raphael Romano, Kelm, Malte, Wolff, Georg, Barth, Eberhard, Goebel, Ulrich, Kunstein, Anselm, Schuster, Michael, Welte, Martin, Lutz, Matthias, Meybohm, Patrick, Steiner, Stephan, Poerner, Tudor, Haake, Hendrik, Schaller, Stefan, Kindgen-Milles, Detlef, Meyer, Christian, Kurt, Muhammed, Kuhn, Karl Friedrich, Randerath, Winfried, Dindane, Zouhir, Kabitz, Hans-Joachim, Voigt, Ingo, Shala, Gonxhe, Faltlhauser, Andreas, Rovina, Nikoletta, Aidoni, Zoi, Chrisanthopoulou, Evangelia, Papadogoulas, Antonios, Gurjar, Mohan, Mahmoodpoor, Ata, Ahmed, Abdullah Khudhur, Elsaka, Ahmed, Comellini, Vittoria, Rabha, Ahmed, Ahmed, Hazem, Namendys-Silva, Silvio, Ghannam, Abdelilah, Groenendijk, Martijn, Zegers, Marieke, Cornet, Alex, Evers, Mirjam, Haas, Lenneke, Dormans, Tom, Dieperink, Willem, Romundstad, Luis, Sjøbø, Britt, Strietzel, Hans Frank, Olasveengen, Theresa, Hahn, Michael, Czuczwar, Miroslaw, Gawda, Ryszard, Klimkiewicz, Jakub, de Lurdessantos, Maria Campos, Gordinho, André, Santos, Henrique, Assis, Rui, Oliveira, Ana Isabel Pinho, Badawy, Mohamed Raafat, Perez-Torres, David, Gomà, Gemma, Villamayor, Mercedes Ibarz, Mira, Angela Prado, Cubero, Patricia Jimeno, Rivera, Susana Arias, Tomasa, Teresa, Iglesias, David, Vázquez, Eric Mayor, Aldecoa, Cesar, Ferreira, Aida Fernández, Zalba-Etayo, Begoña, Canas-Perez, Isabel, Tamayo-Lomas, Luis, Diaz-Rodriguez, Cristina, Sancho, Susana, Priego, Jesús, Abualqumboz, Enas, Hilles, Momin Majed Yousuf, Saleh, Mahmoud, Ben-Hamouda, Nawfel, Roberti, Andrea, Dullenkopf, Alexander, Fleury, Yvan, Pinto, Bernardo Bollen, Al-Sadawi, Mohammed, Serck, Nicolas, Dewaele, Elisabeth, Kumar, Pritpal, Bundesen, Camilla, Innes, Richard, Gooch, James, Cagova, Lenka, Potter, Elizabeth, Reay, Michael, Davey, Miriam, Humphreys, Sally, Berlemont, Caroline Hauw, Chousterman, Benjamin Glenn, Dépret, François, Ferre, Alexis, Vettoretti, Lucie, Thevenin, Didier, Milovanovic, Milena, Simon, Philipp, Lorenz, Marco, Stoll, Sandra Emily, Dubler, Simon, Mulita, Francesk, Kondili, Eumorifa, Andrianopoulos, Ioannis, Meynaar, Iwan, Cornet, Alexander Daniel, Sjøbøe, Britt, Kluzik, Anna, Zatorski, Paweł, Drygalski, Tomasz, Solek-Pastuszka, Joanna, Onichimowski, Dariusz, Stefaniak, Jan, Stefanska-Wronka, Karina, Zabul, Ewa, Cardoso, Filipe Sousa, Banzo, Maria José Arche, Tomasa-Irriguible, Teresa Maria, Mira, Ángela Prado, Arias-Rivera, Susana, Frutos-Vivar, Fernando, Lopez-Cuenca, Sonia, de Gopegui, Pablo Ruiz, Abidi, Nour, Chau, Ivan, Pugh, Richard, Smuts, Sara, Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Service de Réanimation Médicale [CHU Saint-Antoine], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Saint-Antoine [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Mécanismes physiopathologiques et conséquences des calcifications vasculaires - UR UPJV 7517 (MP3CV), Université de Picardie Jules Verne (UPJV)-CHU Amiens-Picardie, Optimisation thérapeutique en Neuropsychopharmacologie (OPTeN (UMR_S_1144 / U1144)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Bouchard, Mélanie, Critical care, Anesthesiology, Peri-operative and Emergency medicine (CAPE), COVIP-study group, Eller, P., Joannidis, M., Mesotten, D., Reper, P., Oeyen, S., Swinnen, W., Brix, H., Brushoej, J., Villefrance, M., Nedergaard, H.K., Bjerregaard, A.T., Balleby, I.R., Andersen, K., Hansen, M.A., Uhrenholt, S., Bundgaard, H., Fjølner, J., Mohamed, AAH, Salah, R., Ali, YKNM, Wassim, K., Elgazzar, Y.A., Tharwat, S., Azzam, A.Y., Habib, A.A., Abosheaishaa, H.M., Azab, M.A., Leaver, S., Galbois, A., Guidet, B., Charron, C., Guerot, E., Besch, G., Rigaud, J.P., Maizel, J., Djibré, M., Burtin, P., Garcon, P., Nseir, S., Valette, X., Alexandru, N., Marin, N., Vaissiere, M., Plantefeve, G., Vanderlinden, T., Jurcisin, I., Megarbane, B., Caillard, A., Valent, A., Garnier, M., Besset, S., Oziel, J., Raphaelen, J.H., Dauger, S., Dumas, G., Goncalves, B., Piton, G., Jung, C., Bruno, R.R., Kelm, M., Wolff, G., Barth, E., Goebel, U., Kunstein, A., Schuster, M., Welte, M., Lutz, M., Meybohm, P., Steiner, S., Poerner, T., Haake, H., Schaller, S., Kindgen-Milles, D., Meyer, C., Kurt, M., Kuhn, K.F., Randerath, W., Wollborn, J., Dindane, Z., Kabitz, H.J., Voigt, I., Shala, G., Faltlhauser, A., Rovina, N., Aidoni, Z., Chrisanthopoulou, E., Papadogoulas, A., Gurjar, M., Mahmoodpoor, A., Ahmed, A.K., Marsh, B., Elsaka, A., Sviri, S., Comellini, V., Rabha, A., Ahmed, H., Namendys-Silva, S.A., Ghannam, A., Groenendijk, M., Zegers, M., de Lange, D., Cornet, A., Evers, M., Haas, L., Dormans, T., Dieperink, W., Romundstad, L., Sjøbø, B., Andersen, F.H., Strietzel, H.F., Olasveengen, T., Hahn, M., Czuczwar, M., Gawda, R., Klimkiewicz, J., de LurdesSantos, M.C., Gordinho, A., Santos, H., Assis, R., Oliveira, AIP, Badawy, M.R., Perez-Torres, D., Gomà, G., Villamayor, M.I., Mira, A.P., Cubero, P.J., Rivera, S.A., Tomasa, T., Iglesias, D., Vázquez, E.M., Aldecoa, C., Ferreira, A.F., Zalba-Etayo, B., Canas-Perez, I., Tamayo-Lomas, L., Diaz-Rodriguez, C., Sancho, S., Priego, J., Abualqumboz, EMY, Hilles, MMY, Saleh, M., Ben-HAmouda, N., Roberti, A., Dullenkopf, A., Fleury, Y., Pinto, B.B., Schefold, J.C., Al-Sadawi, M., Serck, N., Dewaele, E., Kumar, P., Bundesen, C., Innes, R., Gooch, J., Cagova, L., Potter, E., Reay, M., Davey, M., Humphreys, S., Berlemont, C.H., Chousterman, B.G., Dépret, F., Ferre, A., Vettoretti, L., Thevenin, D., Milovanovic, M., Simon, P., Lorenz, M., Stoll, S.E., Dubler, S., Fuest, K., Mulita, F., Kondili, E., Andrianopoulos, I., Meynaar, I., Cornet, A.D., Sjøbøe, B., Kluzik, A., Zatorski, P., Drygalski, T., Szczeklik, W., Solek-Pastuszka, J., Onichimowski, D., Stefaniak, J., Stefanska-Wronka, K., Zabul, E., Cardoso, F.S., Banzo, MJA, Tomasa-Irriguible, T.M., Mira, Á.P., Arias-Rivera, S., Frutos-Vivar, F., Lopez-Cuenca, S., de Gopegui, P.R., Abidi, N., Chau, I., Pugh, R., and Smuts, S.
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Aging ,Activities of Daily Living ,Aged ,COVID-19 ,Humans ,Intensive Care Units ,Prospective Studies ,Quality of Life ,SARS-CoV-2 ,Intensive Care Unit (ICU) ,Older people ,Survival ,frailty ,[SDV]Life Sciences [q-bio] ,SOCIETY ,610 Medicine & health ,General Medicine ,INTENSIVE-CARE ,humanities ,Healthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18] ,[SDV] Life Sciences [q-bio] ,Medicine and Health Sciences ,Geriatrics and Gerontology - Abstract
Background health-related quality of life (HRQoL) is an important patient-centred outcome in patients surviving ICU admission for COVID-19. It is currently not clear which domains of the HRQoL are most affected. Objective to quantify HRQoL in order to identify areas of interventions. Design prospective observation study. Setting admissions to European ICUs between March 2020 and February 2021. Subjects patients aged 70 years or older admitted with COVID-19 disease. Methods collected determinants include SOFA-score, Clinical Frailty Scale (CFS), number and timing of ICU procedures and limitation of care, Katz Activities of Daily Living (ADL) dependence score. HRQoL was assessed at 3 months after ICU admission with the Euro-QoL-5D-5L questionnaire. An outcome of ≥4 on any of Euro-QoL-5D-5L domains was considered unfavourable. Results in total 3,140 patients from 14 European countries were included in this study. Three months after inclusion, 1,224 patients (39.0%) were alive and the EQ-5D-5L from was obtained. The CFS was associated with an increased odds ratio for an unfavourable HRQoL outcome after 3 months; OR 1.15 (95% confidence interval (CI): 0.71–1.87) for CFS 2 to OR 4.33 (95% CI: 1.57–11.9) for CFS ≧ 7. The Katz ADL was not statistically significantly associated with HRQoL after 3 months. Conclusions in critically ill old intensive care patients suffering from COVID-19, the CFS is associated with the subjectively perceived quality of life. The CFS on admission can be used to inform patients and relatives on the risk of an unfavourable qualitative outcome if such patients survive.
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- 2022
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43. Disease-Course Adapting Machine Learning Prognostication Models in Elderly Patients Critically Ill With COVID-19: Multicenter Cohort Study With External Validation
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Jung, Christian, Mamandipoor, Behrooz, Fjølner, Jesper, Bruno, Raphael Romano, Wernly, Bernhard, Artigas Raventós, Antoni, Bollen Pinto, Bernardo, Schefold, Joerg C., Wolff, Georg, Kelm, Malte, Beil, Michael, Sviri, Sigal, van Heerden, Peter V, Szczeklik, Wojciech, Czuczwar, Miroslaw, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Zafeiridis, Tilemachos, Marsh, Brian, Andersen, Finn H., Moreno, Rui, Cecconi, Maurizio, Leaver, Susannah, De Lange, Dylan W.., Guidet, Bertrand, Flaatten, Hans, Osmani, Venet, and Universitat Autònoma de Barcelona
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machine learning ,Health Information Management ,pandemic ,clinical informatics ,elderly population ,COVID-19 ,prediction models ,Health Informatics ,machine-based learning ,patient data ,outcome prediction - Abstract
Background The COVID-19 pandemic caused by SARS-CoV-2 is challenging health care systems globally. The disease disproportionately affects the elderly population, both in terms of disease severity and mortality risk. Objective The aim of this study was to evaluate machine learning–based prognostication models for critically ill elderly COVID-19 patients, which dynamically incorporated multifaceted clinical information on evolution of the disease. Methods This multicenter cohort study (COVIP study) obtained patient data from 151 intensive care units (ICUs) from 26 countries. Different models based on the Sequential Organ Failure Assessment (SOFA) score, logistic regression (LR), random forest (RF), and extreme gradient boosting (XGB) were derived as baseline models that included admission variables only. We subsequently included clinical events and time-to-event as additional variables to derive the final models using the same algorithms and compared their performance with that of the baseline group. Furthermore, we derived baseline and final models on a European patient cohort, which were externally validated on a non-European cohort that included Asian, African, and US patients. Results In total, 1432 elderly (≥70 years old) COVID-19–positive patients admitted to an ICU were included for analysis. Of these, 809 (56.49%) patients survived up to 30 days after admission. The average length of stay was 21.6 (SD 18.2) days. Final models that incorporated clinical events and time-to-event information provided superior performance (area under the receiver operating characteristic curve of 0.81; 95% CI 0.804-0.811), with respect to both the baseline models that used admission variables only and conventional ICU prediction models (SOFA score, P Conclusions Integrating important clinical events and time-to-event information led to a superior accuracy of 30-day mortality prediction compared with models based on the admission information and conventional ICU prediction models. This study shows that machine-learning models provide additional information and may support complex decision-making in critically ill elderly COVID-19 patients. Trial Registration ClinicalTrials.gov NCT04321265; https://clinicaltrials.gov/ct2/show/NCT04321265
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- 2022
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44. Association of chronic heart failure with mortality in old intensive care patients suffering from Covid-19
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Bruno, Raphael Romano, Wernly, Bernhard, Wolff, Georg, Fjølner, Jesper, Artigas, Antonio, Bollen Pinto, Bernardo, Schefold, Joerg C., Kindgen‐Milles, Detlef, Baldia, Philipp Heinrich, Kelm, Malte, Beil, Michael, Sviri, Sigal, Heerden, Peter Vernon, Szczeklik, Wojciech, Topeli, Arzu, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Kondili, Eumorfia, Marsh, Brian, Andersen, Finn H., Moreno, Rui, Leaver, Susannah, Boumendil, Ariane, De Lange, Dylan W., Guidet, Bertrand, Flaatten, Hans, Jung, Christian, COVIP study group, [missing], and NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
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Heart Failure ,OUTCOMES ,Critical Care ,IMPACT ,Critical Illness ,HSJ UCI ,COVID-19* / epidemiology ,COVID-19 ,610 Medicine & health ,Stroke Volume ,Heart failure ,Prognosis ,Hospitalization ,Elderly ,COVID-19* / complications ,Heart Failure* / complications ,Chronic Disease ,Medicine and Health Sciences ,Humans ,Heart Failure* / epidemiology ,Prospective Studies ,610 Medizin und Gesundheit ,Cardiology and Cardiovascular Medicine ,ELDERLY-PATIENTS - Abstract
Funding: This study was endorsed by the ESICM. Free support for running the electronic database was granted from the Department of Epidemiology, Aarhus University, Denmark. The support of the study in France by a grant from ‘Fondation Assistance Publique-Hôpitaux de Paris pour la recherche’ is greatly appreciated. In Norway, the study was supported by a grant from the Health Region West. In addition, the study was supported by a grant from the European Open Science Cloud (EOSC). EOSCsecretariat.eu has received funding from the European Union’s Horizon 2020 Framework Programme called H2020-INFRAEOSC-05-2018-2019, Grant Agreement Number 831644. This work was supported by the Forschungskommission of the Medical Faculty of the Heinrich Heine University Düsseldorf, No. 2018-32 to G.W. and No. 2020-21 to R.R.B. for a Clinician Scientist Track. Open access funding was enabled and organized by Projekt DEAL. No (industry) sponsorship has been received for this investigator-initiated study. AIMS: Chronic heart failure (CHF) is a major risk factor for mortality in coronavirus disease 2019 (COVID-19). This prospective international multicentre study investigates the role of pre-existing CHF on clinical outcomes of critically ill old (≥70 years) intensive care patients with COVID-19. METHODS AND RESULTS: Patients with pre-existing CHF were subclassified as having ischaemic or non-ischaemic cardiac disease; patients with a documented ejection fraction (EF) were subclassified according to heart failure EF: reduced (HFrEF, n = 132), mild (HFmrEF, n = 91), or preserved (HFpEF, n = 103). Associations of heart failure characteristics with the 30 day mortality were analysed in univariate and multivariate logistic regression analyses. Pre-existing CHF was reported in 566 of 3917 patients (14%). Patients with CHF were older, frailer, and had significantly higher SOFA scores on admission. CHF patients showed significantly higher crude 30 day mortality [60% vs. 48%, P < 0.001; odds ratio 1.87, 95% confidence interval (CI) 1.5-2.3] and 3 month mortality (69% vs. 56%, P < 0.001). After multivariate adjustment for confounders (SOFA, age, sex, and frailty), no independent association of CHF with mortality remained [adjusted odds ratio (aOR) 1.2, 95% CI 0.5-1.5; P = 0.137]. More patients suffered from pre-existing ischaemic than from non-ischaemic disease [233 vs. 328 patients (n = 5 unknown aetiology)]. There were no differences in baseline characteristics between ischaemic and non-ischaemic disease or between HFrEF, HFmrEF, and HFpEF. Crude 30 day mortality was significantly higher in HFrEF compared with HFpEF (64% vs. 48%, P = 0.042). EF as a continuous variable was not independently associated with 30 day mortality (aOR 0.98, 95% CI 0.9-1.0; P = 0.128). CONCLUSIONS: In critically ill older COVID-19 patients, pre-existing CHF was not independently associated with 30 day mortality. TRIAL REGISTRATION NUMBER: NCT04321265. publishersversion epub_ahead_of_print
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45. Additional file 1 of The association of the Activities of Daily Living and the outcome of old intensive care patients suffering from COVID-19
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Bruno, Raphael Romano, Wernly, Bernhard, Flaatten, Hans, Fj��lner, Jesper, Artigas, Antonio, Baldia, Philipp Heinrich, Binneboessel, Stephan, Bollen Pinto, Bernardo, Schefold, Joerg C., Wolff, Georg, Kelm, Malte, Beil, Michael, Sviri, Sigal, van Heerden, Peter Vernon, Szczeklik, Wojciech, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Kondili, Eumorfia, Marsh, Brian, Wollborn, Jakob, Andersen, Finn H., Moreno, Rui, Leaver, Susannah, Boumendil, Ariane, De Lange, Dylan W., Guidet, Bertrand, and Jung, Christian
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Additional file 1: Table S1: Baseline characteristics of patients with Frailty (CFS ��� 5) and without (CFS
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- 2022
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46. Additional file 1 of Noninvasive ventilation in COVID-19 patients aged ≥ 70 years—a prospective multicentre cohort study
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Polok, Kamil, Fronczek, Jakub, Artigas, Antonio, Flaatten, Hans, Guidet, Bertrand, De Lange, Dylan W., Fjølner, Jesper, Leaver, Susannah, Beil, Michael, Sviri, Sigal, Bruno, Raphael Romano, Wernly, Bernhard, Bollen Pinto, Bernardo, Schefold, Joerg C., Studzińska, Dorota, Joannidis, Michael, Oeyen, Sandra, Marsh, Brian, Andersen, Finn H., Moreno, Rui, Cecconi, Maurizio, Jung, Christian, and Szczeklik, Wojciech
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Additional file 1. Supplementary Figure 1. Missingness maps for each model included in the paper. Supplementary Figure 2. Histograms showing (A) number of recruited patients (B) proportion of primary NIV (C) proportion of primary IMV and (D) 30-day mortality stratified by study month. Supplementary Figure 3. Histograms showing distribution of NIV initiation day and NIV duration stratified by group. Suuplementary Figure 4. Kaplan-Meier curves comparing survival in patients with primary NIV stratified by intubation status. Supplementary Figure 5. Distribution of LST withhold and withdrawal timing. Supplementary Figure 6. Kaplan-Meier curves for the sensitivity analyses. Supplementary Table 1. Details concerning ethical approval and patient`s consent requirements in participating countries. Supplementary Table 2. Definitions of comorbidities. Supplementary Table 3. Comparison of patients primarily treated with NIV stratified by NIV failure. Supplementary Table 4. 30-day mortality, NIV failure rate and intubation rate stratified by the duration of primary NIV. Supplementary Table 5. Comparison of patients primarily treated with NIV and IMV.
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47. Additional file 2 of The association of the Activities of Daily Living and the outcome of old intensive care patients suffering from COVID-19
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Bruno, Raphael Romano, Wernly, Bernhard, Flaatten, Hans, Fj��lner, Jesper, Artigas, Antonio, Baldia, Philipp Heinrich, Binneboessel, Stephan, Bollen Pinto, Bernardo, Schefold, Joerg C., Wolff, Georg, Kelm, Malte, Beil, Michael, Sviri, Sigal, van Heerden, Peter Vernon, Szczeklik, Wojciech, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Kondili, Eumorfia, Marsh, Brian, Wollborn, Jakob, Andersen, Finn H., Moreno, Rui, Leaver, Susannah, Boumendil, Ariane, De Lange, Dylan W., Guidet, Bertrand, and Jung, Christian
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Additional file 2. COVIP study group.
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48. Disease-course adapting machine learning prognostication models in critically ill elderly COVID-19 patients : a multi-centre cohort study with external validation
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Jung, Christian, Mamandipoor, Behrooz, Fjolner, Jesper, Bruno, Raphael Romano, Wernly, Bernhard, Artigas, Antonio, Bollen Pinto, Bernardo, Schefold, Joerg C., Wolff, Georg, Kelm, Malte, Beil, Michael, Sviri, Sigal, van Heerden, Peter Vernon, Szczeklik, Wojciech, Czuczwar, Miroslaw, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Zafeiridis, Tilemachos, Marsh, Brian, Andersen, Finn H., Moreno, Rui, Cecconi, Maurizio, Leaver, Susannah, de Lange, Dylan W., Guidet, Bertrand, Flaatten, Hans, and Osmani, Venet
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- 2022
49. Variations in end‐of‐life care practices in older critically ill patients with COVID‐19 in Europe
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Wernly, Bernhard, Rezar, Richard, Flaatten, Hans, Beil, Michael, Fjølner, Jesper, Bruno, Raphael Romano, Artigas, Antonio, Pinto, Bernardo Bollen, Schefold, Joerg C, Kelm, Malte, Sigal, Sviri, van Heerden, Peter Vernon, Szczeklik, Wojciech, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Wolff, Georg, Marsh, Brian, Andersen, Finn H, Moreno, Rui, Leaver, Susannah, Wernly, Sarah, Boumendil, Ariane, De Lange, Dylan W, Guidet, Bertrand, Jung, Christian, and NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
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Aged, 80 and over ,Critical Illness/epidemiology ,Terminal Care ,Critical Illness ,resuscitation orders ,COVID-19 ,610 Medicine & health ,frail elderly ,Europe/epidemiology ,Europe ,critical care ,Intensive Care Units ,public health systems research ,ICU ,Medicine and Health Sciences ,Internal Medicine ,Humans ,Prospective Studies ,FRAILTY ,Aged ,COVID-19/epidemiology - Abstract
BACKGROUND: Previous studies reported regional differences in end-of-life care (EoLC) for critically ill patients in Europe. OBJECTIVES: The purpose of this post-hoc analysis of the prospective multi-centre COVIP study was to investigate variations in EoLC practices among older patients in intensive care units during the coronavirus disease 2019 pandemic. METHODS: A total of 3105 critically ill patients aged 70 years and older were enrolled in this study (Central Europe: n = 1573; Northern Europe: n = 821; Southern Europe: n = 711). Generalised estimation equations were used to calculate adjusted odds ratios (aOR) to population averages. Data were adjusted for patient-specific variables (demographic, disease-specific) and health economic data (GDP, health expenditure per capita). The primary outcome was any treatment limitation, and 90-day-mortality was a secondary outcome. RESULTS: The frequency of the primary endpoint (treatment limitation) was highest in Northern Europe (48%), intermediate in Central Europe (39%), and lowest in Southern Europe (24%). The likelihood for treatment limitations was lower in Southern than in Central Europe (aOR 0.39; 95%CI 0.21-0.73; p = 0.004), even after multivariable adjustment, whereas no statistically significant differences were observed between Northern and Central Europe (aOR 0.57; 95%CI 0.27-1.22; p = 0.15). After multivariable adjustment, no statistically relevant mortality differences were found between Northern and Central Europe (aOR 1.29; 95%CI 0.80-2.09; p = 0.30) or between Southern and Central Europe (aOR 1.07; 95%CI 0.66-1.73; p = 0.78). CONCLUSION: This study shows a north-to-south gradient in rates of treatment limitation in Europe, highlighting the heterogeneity of EoLC practices across countries. However, mortality rates were not affected by these results. This article is protected by copyright. All rights reserved. publishersversion published
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50. Predicting outcomes in very old ICU patients: time to focus on the past?
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Flaatten, Hans, Oeyen, Sandra, and deLange, Dylan W.
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- 2018
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