Zobrazeno 1 - 10 of 51 pro vyhledávání: '"Ewoud Ter Avest"'
1
Akademický článek
Contemporary management of traumatic cardiac arrest and peri-arrest states: a narrative review
Autor: Luca Carenzo, Giulio Calgaro, Marius Rehn, Zane Perkins, Zaffer A. Qasim, Lorenzo Gamberini, Ewoud ter Avest
Publikováno v: Journal of Anesthesia, Analgesia and Critical Care, Vol 4, Iss 1, Pp 1-13 (2024)
Abstract Trauma is a leading cause of death and disability worldwide across all age groups, with traumatic cardiac arrest (TCA) presenting a significant economic and societal burden due to the loss of productive life years. Despite TCA’s high morta
Externí odkaz: https://doaj.org/article/390564eb706a4bddb26829f59e9c2bfb
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2
Akademický článek
A data-driven algorithm to support the clinical decision-making of patient extrication following a road traffic collision
Autor: Eyston Vaughan-Huxley, Joanne Griggs, Jasmit Mohindru, Malcolm Russell, Richard Lyon, Ewoud ter Avest
Publikováno v: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, Vol 31, Iss 1, Pp 1-8 (2023)
Abstract Background Some patients involved in a road traffic collision (RTC) are physically entrapped and extrication is required to provide critical interventions. This can be performed either in an expedited way, or in a more controlled manner. In
Externí odkaz: https://doaj.org/article/1ebdf81547ce472fb2ac7080f283de25
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3
Akademický článek
Intra-and inter-observer variability of point of care ultrasound measurements to evaluate hemodynamic parameters in healthy volunteers
Autor: Deborah Blanca, Esther C. Schwarz, Tycho Joan Olgers, Ewoud ter Avest, Nasim Azizi, Hjalmar R. Bouma, Jan Cornelis Ter Maaten
Publikováno v: The Ultrasound Journal, Vol 15, Iss 1, Pp 1-9 (2023)
Abstract Background Point-of-care ultrasound (POCUS) is a valuable tool for assessing the hemodynamic status of acute patients. Even though POCUS often uses a qualitative approach, quantitative measurements have potential advantages in evaluating hem
Externí odkaz: https://doaj.org/article/6de4f278bd6d4e0685464144b40156ae
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5
Akademický článek
Age-adjusted interpretation of biomarkers of renal function and homeostasis, inflammation, and circulation in Emergency Department patients
Autor: Bart G. J. Candel, Jamèl Khoudja, Menno I. Gaakeer, Ewoud ter Avest, Özcan Sir, Heleen Lameijer, Roger A. P. A. Hessels, Resi Reijnen, Erik van Zwet, Evert de Jonge, Bas de Groot
Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Appropriate interpretation of blood tests is important for risk stratification and guidelines used in the Emergency Department (ED) (such as SIRS or CURB-65). The impact of abnormal blood test values on mortality may change with increasing a
Externí odkaz: https://doaj.org/article/c2319410534544618b556a0726ee04aa
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6
Akademický článek
Haemodynamic effects of a 10-min treatment with a high inspired oxygen concentration in the emergency department: a prospective observational study
Autor: Heleen Lameijer, Ewoud ter Avest, Renate Stolmeijer, Jan Cornelis ter Maaten, Ellen van Ieperen, Paul van Beest
Publikováno v: BMJ Open, Vol 12, Iss 9 (2022)
Objectives To investigate the haemodynamic effects of a high FiO2 administered for a limited duration of time in patients who receive preoxygenation for procedural sedation and analgesia (PSA) in the ED.Design, settings and participants In a prospect
Externí odkaz: https://doaj.org/article/265fb2e87db04b8693a76e51b5429046
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7
Akademický článek
Cohort profile of Acutelines: a large data/biobank of acute and emergency medicine
Autor: Barbara C van Munster, Ewoud ter Avest, Raymond J van Wijk, Sanne Tent, Sanne Ter Horst, Ting Ting Hu, Lisanne E van Heijst, Felien S van der Veer, Fleur E van Beuningen, Jan Cornelis ter Maaten, Hjalmar R Bouma
Publikováno v: BMJ Open, Vol 11, Iss 7 (2021)
Purpose Research in acute care faces many challenges, including enrolment challenges, legal limitations in data sharing, limited funding and lack of singular ownership of the domain of acute care. To overcome these challenges, the Center of Acute Car
Externí odkaz: https://doaj.org/article/017ebd6eac604c3d82df11b673086f7d
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8
The association between presenting complaints and clinical outcomes in emergency department patients of different age categories
Autor: Roger A P A Hessels, Evert de Jonge, Christian H. Nickel, Wouter Raven, Erik W. van Zwet, Bas de Groot, Özcan Sir, Elisa M P van den Hoven, Menno I. Gaakeer, Ewoud ter Avest, Heleen Lameijer, Resi Reijnen
Publikováno v: European journal of emergency medicine : official journal of the European Society for Emergency Medicine, 29(1), 33-41
European Journal of Emergency Medicine, 29, 33-41
European Journal of Emergency Medicine, 29, 1, pp. 33-41
Contains fulltext : 287156.pdf (Publisher’s version ) (Closed access) Background and importance Although aging societies in Western Europe use presenting complaints (PCs) in emergency departments (EDs) triage systems to determine the urgency and se
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7aa31d3af4b6354638c94cedc91f7ee
https://hdl.handle.net/11370/b687f6f9-6ba9-4cec-b892-7740ed1fb930
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9
Feasibility of Prehospital Emergency Anesthesia in the Cabin of an AW169 Helicopter Wearing Personal Protective Equipment During Coronavirus Disease 2019
Autor: Richard Lyon, Ewoud ter Avest, Air Ambulance Kent Surrey Sussex, Sophie Mitchinson, Leigh Curtis, Joanne E Griggs, Allan S McHenry, Kat Hunter
Publikováno v: Air Medical Journal
Air Medical Journal, 40(6), 395-398
Objective: Prehospital emergency anesthesia in the form of rapid sequence intubation (RSI) is a critical intervention delivered by advanced prehospital critical care teams. Our previous simulation study determined the feasibility of in-aircraft RSI.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0d20f449863df6da89b562fb0d48ce5
https://doi.org/10.1016/j.amj.2021.08.008
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10
Machine learning for developing a prediction model of hospital admission of emergency department patients
Autor: Christian H. Nickel, Ewout W. Steyerberg, Resi Reijnen, Özcan Sir, Menno I. Gaakeer, Anne A H de Hond, Bas de Groot, Laurens Schinkelshoek, Evert de Jonge, Roger A P A Hessels, Heleen Lameijer, Wouter Raven, Ewoud ter Avest
Publikováno v: International Journal of Medical Informatics, 152
International Journal of Medical Informatics, 152:104496, 1-8. ELSEVIER IRELAND LTD
International Journal of Medical Informatics, 152. ELSEVIER IRELAND LTD
Objective: Early identification of emergency department (ED) patients who need hospitalization is essential for quality of care and patient safety. We aimed to compare machine learning (ML) models predicting the hospitalization of ED patients and con
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac23e70b36c75ab55283be3d547bf9fb
https://doi.org/10.1016/j.ijmedinf.2021.104496
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