Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Aimée E. M. J. H. Linkens"'
Autor:
Aimée E. M. J. H. Linkens, Dennis Kurstjens, N. Anne Zwietering, Vanja Milosevic, Kim P. G. M. Hurkens, Noémi van Nie, Bob P. A. van de Loo, P. Hugo M. van der Kuy, Bart Spaetgens
Publikováno v:
Drugs - Real World Outcomes, Vol 10, Iss 3, Pp 363-370 (2023)
Abstract Background Inappropriate prescribing is associated with negative patient outcomes. In hospitalized patients, the use of Clinical Decision Support Systems (CDSSs) may reduce inappropriate prescribing and thereby improve patient-related outcom
Externí odkaz:
https://doaj.org/article/8fbe27476a954e10bbd949f42f314ce5
Autor:
Aimée E. M. J. H. Linkens, Vanja Milosevic, Noémi van Nie, Anne Zwietering, Peter W. de Leeuw, Marjan van den Akker, Jos M. G. A. Schols, Silvia M. A. A. Evers, Carlota Mestres Gonzalvo, Bjorn Winkens, Bob P. A. van de Loo, Louis de Wolf, Lucretia Peeters, Monique de Ree, Bart Spaetgens, Kim P. G. M. Hurkens, Hugo M. van der Kuy
Publikováno v:
BMC Geriatrics, Vol 22, Iss 1, Pp 1-8 (2022)
Abstract Background Due to ageing of the population the incidence of multimorbidity and polypharmacy is rising. Polypharmacy is a risk factor for medication-related (re)admission and therefore places a significant burden on the healthcare system. The
Externí odkaz:
https://doaj.org/article/364365d3fdcf4bbd9acc441826dd75be
Autor:
Paul M. E. L. van Dam, Noortje Zelis, Sander M. J. van Kuijk, Aimée E. M. J. H. Linkens, Renée A. G. Brüggemann, Bart Spaetgens, Iwan C. C. van der Horst, Patricia M. Stassen
Publikováno v:
Annals of Medicine, Vol 53, Iss 1, Pp 402-409 (2021)
AbstractIntroduction Coronavirus disease 2019 (COVID-19) has a high burden on the healthcare system. Prediction models may assist in triaging patients. We aimed to assess the value of several prediction models in COVID-19 patients in the emergency de
Externí odkaz:
https://doaj.org/article/6f51d72d9cf0449aa4e966e06199f6b0
Autor:
Renée A. G. Brüggemann, Aimée E. M. J. H. Linkens, Paul M. E. L. van Dam, Sander M. J. van Kuijk, Iwan C. C. van der Horst, Patricia M. Stassen, Bart Spaetgens, Noortje Zelis
Publikováno v:
Annals of Medicine
article-version (VoR) Version of Record
Annals of Medicine, 53(1), 402-409. Routledge/Taylor & Francis Group
article-version (VoR) Version of Record
Annals of Medicine, 53(1), 402-409. Routledge/Taylor & Francis Group
Introduction Coronavirus disease 2019 (COVID-19) has a high burden on the healthcare system. Prediction models may assist in triaging patients. We aimed to assess the value of several prediction models in COVID-19 patients in the emergency department
Autor:
Ron Heijnen, Jos M. G. A. Schols, Fabienne J. H. Magdelijns, Renée A. G. Brüggemann, Aimée E. M. J. H. Linkens, Hanneke Joosten, Arina J. ten Cate-Hoek, Bart Spaetgens, Steffie H. A. Brouns, Hugo ten Cate
Publikováno v:
Journal of the American Geriatrics Society
Journal of the American Geriatrics Society, 68(8), 1647-1652. Wiley
Journal of the American Geriatrics Society, 68(8), 1647-1652. Wiley
BACKGROUND/OBJECTIVES: Nursing home (NH) residents are a vulnerable population, susceptible to respiratory disease outbreaks such as coronavirus disease 2019 (COVID-19). Poor outcome in COVID-19 is at least partly attributed to hypercoagulability, re
Autor:
Sander M. J. van Kuijk, Noortje Zelis, Aimée E. M. J. H. Linkens, Iwan C. C. van der Horst, Renée A. G. Brüggemann, Patricia M. Stassen, Paul M. E. L. van Dam, Bart Spaetgens
IntroductionCoronavirus disease 2019 (COVID-19) has a high burden on the healthcare system and demands information on the outcome early after admission to the emergency department (ED). Previously developed prediction models may assist in triaging pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::203dabc458c112da89ae10ef26acf9c9
https://doi.org/10.1101/2020.11.25.20238527
https://doi.org/10.1101/2020.11.25.20238527