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Wyświetlanie 1-11 z 11
Tytuł :
Large-scale ICU data sharing for global collaboration: the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse.
Autorzy :
Fleuren LM; Laboratory for Critical Care Computational Intelligence, Department of Intensive Care Medicine, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands. l.fleuren@amsterdamumc.nl.
de Bruin DP; Pacmed, Amsterdam, The Netherlands.
Tonutti M; Pacmed, Amsterdam, The Netherlands.
Lalisang RCA; Pacmed, Amsterdam, The Netherlands.
Elbers PWG; Laboratory for Critical Care Computational Intelligence, Department of Intensive Care Medicine, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
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Corporate Authors :
Dutch ICU Data Sharing Collaborators
Źródło :
Intensive care medicine [Intensive Care Med] 2021 Apr; Vol. 47 (4), pp. 478-481. Date of Electronic Publication: 2021 Feb 17.
Typ publikacji :
Letter; Research Support, Non-U.S. Gov't
MeSH Terms :
COVID-19*
Critical Illness*
Data Warehousing*
Information Dissemination*
Intensive Care Units*
Humans ; Netherlands
Raport
Tytuł :
Why we should sample sparsely and aim for a higher target: Lessons from model-based therapeutic drug monitoring of vancomycin in intensive care patients.
Autorzy :
Guo T; Department of Intensive Care Medicine, Amsterdam Cardiovascular Sciences, Amsterdam Medical Data Science, Research VUmc Intensive Care, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.; Department of Pharmacy, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.; Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.
van Hest RM; Department of Pharmacy, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Fleuren LM; Department of Intensive Care Medicine, Amsterdam Cardiovascular Sciences, Amsterdam Medical Data Science, Research VUmc Intensive Care, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Roggeveen LF; Department of Intensive Care Medicine, Amsterdam Cardiovascular Sciences, Amsterdam Medical Data Science, Research VUmc Intensive Care, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Bosman RJ; Intensive Care Unit, OLVG Oost, Amsterdam, The Netherlands.
van der Voort PHJ; Intensive Care Unit, OLVG Oost, Amsterdam, The Netherlands.
Girbes ARJ; Department of Intensive Care Medicine, Amsterdam Cardiovascular Sciences, Amsterdam Medical Data Science, Research VUmc Intensive Care, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Mathot RAA; Department of Pharmacy, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
van Hasselt JGC; Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.
Elbers PWG; Department of Intensive Care Medicine, Amsterdam Cardiovascular Sciences, Amsterdam Medical Data Science, Research VUmc Intensive Care, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
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Źródło :
British journal of clinical pharmacology [Br J Clin Pharmacol] 2021 Mar; Vol. 87 (3), pp. 1234-1242. Date of Electronic Publication: 2020 Aug 17.
Typ publikacji :
Journal Article
Czasopismo naukowe
Tytuł :
[Clinical course of COVID-19 in the Netherlands: an overview of 2607 patients in hospital during the first wave].
Autorzy :
Ariës MJH; Maastricht UMC.
van den Bergh JP; VieCuri Medisch Centrum.
Beudel M; Amsterdam UMC.; Contact: Martijn Beudel ().
Boersma W; Noordwest Ziekenhuisgroep.
Dormans T; Zuyderland Ziekenhuis.
Douma RA; Flevoziekenhuis.
Eerens A; Treant Zorggroep.
Elbers PWG; Amsterdam UMC.
Fleuren LM; Amsterdam UMC.
Gritters van den Oever NC; Treant Zorggroep.
de Haan L; Flevoziekenhuis.
van der Horst IJCC; Maastricht UMC.
Hu S; Universiteit van Amsterdam.
Hubers D; Universiteit Twente.
Janssen MLF; Maastricht UMC.
de Kruif M; Zuyderland Ziekenhuis.
Kubben PL; Maastricht UMC.
van Kuijk SMJ; Maastricht UMC.
Noordzij PG; St Antonius Ziekenhuis.
Ottenhoff M; Maastricht UMC.
Piña-Fuentes DAI; Amsterdam UMC.
Potters WV; Amsterdam UMC.
Reidinga AC; Martini Ziekenhuis.
Renckens RSC; Noordwest Ziekenhuisgroep.
Rigter S; St Antonius Ziekenhuis.
Rusch D; Martini Ziekenhuis/UMCG.
Schinkel M; Amsterdam UMC.
Sigaloff KCE; Amsterdam UMC.
Simsek S; Noordwest Ziekenhuisgroep.
Stassen P; Maastricht UMC.
Stassen R; Zuyderland Ziekenhuis.
Thomas RM; Amsterdam UMC.
van Wingen GA; Amsterdam UMC.
Vonk Noordegraaf A; Amsterdam UMC.
Welling M; Universiteit van Amsterdam.
Wiersinga WJ; Amsterdam UMC.
Wolvers MDJ; Amsterdam UMC.
Wyers CE; VieCuri Medisch Centrum.
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Transliterated Title :
Klinisch beloop van covid-19 in Nederland.
Źródło :
Nederlands tijdschrift voor geneeskunde [Ned Tijdschr Geneeskd] 2021 Jan 11; Vol. 165. Date of Electronic Publication: 2021 Jan 11.
Typ publikacji :
Journal Article
MeSH Terms :
COVID-19*/epidemiology
COVID-19*/prevention & control
COVID-19*/therapy
Diagnostic Tests, Routine*/methods
Diagnostic Tests, Routine*/statistics & numerical data
Cardiovascular Diseases/*epidemiology
SARS-CoV-2/*isolation & purification
Age Factors ; Aged ; Comorbidity ; Critical Care/methods ; Critical Care/statistics & numerical data ; Female ; Hospital Mortality ; Humans ; Kaplan-Meier Estimate ; Male ; Netherlands/epidemiology ; Risk Factors ; Severity of Illness Index
Czasopismo naukowe
Tytuł :
Optimizing Predictive Performance of Bayesian Forecasting for Vancomycin Concentration in Intensive Care Patients.
Autorzy :
Guo T; Department of Intensive Care Medicine | Research VUmc Intensive Care (REVIVE) | Amsterdam Cardiovascular Sciences (ACS) | Amsterdam Medical Data Science (AMDS), Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. .; Department of Pharmacy, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands. .; Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, The Netherlands. .
van Hest RM; Department of Pharmacy, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Zwep LB; Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, The Netherlands.; Mathematical Institute, Leiden University, Leiden, The Netherlands.
Roggeveen LF; Department of Intensive Care Medicine | Research VUmc Intensive Care (REVIVE) | Amsterdam Cardiovascular Sciences (ACS) | Amsterdam Medical Data Science (AMDS), Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Fleuren LM; Department of Intensive Care Medicine | Research VUmc Intensive Care (REVIVE) | Amsterdam Cardiovascular Sciences (ACS) | Amsterdam Medical Data Science (AMDS), Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Bosman RJ; Intensive Care Unit, OLVG Oost, Amsterdam, The Netherlands.
van der Voort PHJ; Intensive Care Unit, OLVG Oost, Amsterdam, The Netherlands.
Girbes ARJ; Department of Intensive Care Medicine | Research VUmc Intensive Care (REVIVE) | Amsterdam Cardiovascular Sciences (ACS) | Amsterdam Medical Data Science (AMDS), Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Mathot RAA; Department of Pharmacy, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Elbers PWG; Department of Intensive Care Medicine | Research VUmc Intensive Care (REVIVE) | Amsterdam Cardiovascular Sciences (ACS) | Amsterdam Medical Data Science (AMDS), Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
van Hasselt JGC; Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, The Netherlands.
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Źródło :
Pharmaceutical research [Pharm Res] 2020 Aug 23; Vol. 37 (9), pp. 171. Date of Electronic Publication: 2020 Aug 23.
Typ publikacji :
Journal Article
MeSH Terms :
Bayes Theorem*
Anti-Bacterial Agents/*pharmacokinetics
Drug Monitoring/*methods
Vancomycin/*pharmacokinetics
Adult ; Aged ; Aged, 80 and over ; Critical Care ; Female ; Forecasting ; Gram-Positive Bacterial Infections/drug therapy ; Humans ; Male ; Middle Aged ; Models, Biological ; Pharmacokinetics ; Predictive Value of Tests
Czasopismo naukowe
Tytuł :
Machine learning in intensive care medicine: ready for take-off?
Autorzy :
Fleuren LM; Department of Intensive Care Medicine, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Sciences (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, VU Amsterdam, Amsterdam, The Netherlands. l.fleuren@amsterdamumc.nl.; Computational Intelligence Group, Department of Computer Science, VU Amsterdam, Amsterdam, The Netherlands. l.fleuren@amsterdamumc.nl.
Thoral P; Department of Intensive Care Medicine, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Sciences (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, VU Amsterdam, Amsterdam, The Netherlands.
Shillan D; NIHR Bristol Biomedical Research Centre, University of Bristol, Bristol, UK.
Ercole A; Division of Anaesthesia, University of Cambridge, Cambridge, UK.; Data Science Section, European Society of Intensive Care Medicine, Brussels, Belgium.
Elbers PWG; Department of Intensive Care Medicine, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Sciences (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, VU Amsterdam, Amsterdam, The Netherlands.; Data Science Section, European Society of Intensive Care Medicine, Brussels, Belgium.
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Corporate Authors :
Right Data Right Now Collaborators
Źródło :
Intensive care medicine [Intensive Care Med] 2020 Jul; Vol. 46 (7), pp. 1486-1488. Date of Electronic Publication: 2020 May 12.
Typ publikacji :
Letter
MeSH Terms :
Machine Learning*
Medicine*
Critical Care ; Humans ; Intensive Care Units
Opinia redakcyjna
Tytuł :
Right Dose, Right Now: Development of AutoKinetics for Real Time Model Informed Precision Antibiotic Dosing Decision Support at the Bedside of Critically Ill Patients.
Autorzy :
Roggeveen LF; Department of Intensive Care Medicine, Amsterdam Medical Data Science (AMDS), Research VUmc Intensive Care (REVIVE), Amsterdam Cardiovascular Science (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Guo T; Department of Intensive Care Medicine, Amsterdam Medical Data Science (AMDS), Research VUmc Intensive Care (REVIVE), Amsterdam Cardiovascular Science (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Driessen RH; Department of Intensive Care Medicine, Amsterdam Medical Data Science (AMDS), Research VUmc Intensive Care (REVIVE), Amsterdam Cardiovascular Science (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Fleuren LM; Department of Intensive Care Medicine, Amsterdam Medical Data Science (AMDS), Research VUmc Intensive Care (REVIVE), Amsterdam Cardiovascular Science (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Thoral P; Department of Intensive Care Medicine, Amsterdam Medical Data Science (AMDS), Research VUmc Intensive Care (REVIVE), Amsterdam Cardiovascular Science (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
van der Voort PHJ; Intensive Care Unit, OLVG Oost, Amsterdam, Netherlands.
Girbes ARJ; Department of Intensive Care Medicine, Amsterdam Medical Data Science (AMDS), Research VUmc Intensive Care (REVIVE), Amsterdam Cardiovascular Science (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Bosman RJ; Intensive Care Unit, OLVG Oost, Amsterdam, Netherlands.
Elbers P; Department of Intensive Care Medicine, Amsterdam Medical Data Science (AMDS), Research VUmc Intensive Care (REVIVE), Amsterdam Cardiovascular Science (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
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Źródło :
Frontiers in pharmacology [Front Pharmacol] 2020 May 15; Vol. 11, pp. 646. Date of Electronic Publication: 2020 May 15 (Print Publication: 2020).
Typ publikacji :
Journal Article
Czasopismo naukowe
Tytuł :
Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy.
Autorzy :
Fleuren LM; Department of Intensive Care Medicine, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Sciences (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, location VUmc, VU Amsterdam, Amsterdam, The Netherlands. l.fleuren@amsterdamumc.nl.; Computational Intelligence Group, Department of Computer Science, VU Amsterdam, Amsterdam, The Netherlands. l.fleuren@amsterdamumc.nl.
Klausch TLT; Department of Epidemiology and Biostatistics, Amsterdam UMC, location VUmc, VU Amsterdam, Amsterdam, The Netherlands.
Zwager CL; Department of Intensive Care Medicine, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Sciences (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, location VUmc, VU Amsterdam, Amsterdam, The Netherlands.
Schoonmade LJ; Medical Library, Amsterdam UMC, location VUmc, VU Amsterdam, Amsterdam, The Netherlands.
Guo T; Department of Intensive Care Medicine, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Sciences (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, location VUmc, VU Amsterdam, Amsterdam, The Netherlands.
Roggeveen LF; Department of Intensive Care Medicine, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Sciences (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, location VUmc, VU Amsterdam, Amsterdam, The Netherlands.; Computational Intelligence Group, Department of Computer Science, VU Amsterdam, Amsterdam, The Netherlands.
Swart EL; Department of Pharmacy, Amsterdam UMC, location VUmc, VU Amsterdam, Amsterdam, The Netherlands.
Girbes ARJ; Department of Intensive Care Medicine, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Sciences (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, location VUmc, VU Amsterdam, Amsterdam, The Netherlands.
Thoral P; Department of Intensive Care Medicine, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Sciences (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, location VUmc, VU Amsterdam, Amsterdam, The Netherlands.
Ercole A; Division of Anaesthesia, University of Cambridge, Cambridge, UK.; Data Science Section, European Society of Intensive Care Medicine, Brussels, Belgium.
Hoogendoorn M; Computational Intelligence Group, Department of Computer Science, VU Amsterdam, Amsterdam, The Netherlands.
Elbers PWG; Department of Intensive Care Medicine, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Sciences (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, location VUmc, VU Amsterdam, Amsterdam, The Netherlands.; Data Science Section, European Society of Intensive Care Medicine, Brussels, Belgium.
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Źródło :
Intensive care medicine [Intensive Care Med] 2020 Mar; Vol. 46 (3), pp. 383-400. Date of Electronic Publication: 2020 Jan 21.
Typ publikacji :
Journal Article; Meta-Analysis; Review; Systematic Review
MeSH Terms :
Sepsis*/diagnosis
Shock, Septic*
Diagnostic Tests, Routine ; Humans ; Machine Learning ; Retrospective Studies
Czasopismo naukowe
Tytuł :
Right Dose Right Now: bedside data-driven personalized antibiotic dosing in severe sepsis and septic shock - rationale and design of a multicenter randomized controlled superiority trial.
Autorzy :
Roggeveen LF; Department of Intensive Care Medicine, Amsterdam Medical Data Science (AMDS), Research VUmc Intensive Care (REVIVE), Amsterdam Cardiovascular Science (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands. .
Fleuren LM; Department of Intensive Care Medicine, Amsterdam Medical Data Science (AMDS), Research VUmc Intensive Care (REVIVE), Amsterdam Cardiovascular Science (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
Guo T; Department of Intensive Care Medicine, Amsterdam Medical Data Science (AMDS), Research VUmc Intensive Care (REVIVE), Amsterdam Cardiovascular Science (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
Thoral P; Department of Intensive Care Medicine, Amsterdam Medical Data Science (AMDS), Research VUmc Intensive Care (REVIVE), Amsterdam Cardiovascular Science (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
de Grooth HJ; Department of Intensive Care Medicine, Amsterdam Medical Data Science (AMDS), Research VUmc Intensive Care (REVIVE), Amsterdam Cardiovascular Science (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
Swart EL; Department of Clinical Pharmacology and Pharmacy, Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
Klausch TLT; Department of Epidemiology and Biostatistics, Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
van der Voort PHJ; Intensive Care Unit, OLVG Oost, Oosterpark 9, 1091 AC, Amsterdam, The Netherlands.
Girbes ARJ; Department of Intensive Care Medicine, Amsterdam Medical Data Science (AMDS), Research VUmc Intensive Care (REVIVE), Amsterdam Cardiovascular Science (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
Bosman RJ; Intensive Care Unit, OLVG Oost, Oosterpark 9, 1091 AC, Amsterdam, The Netherlands.
Elbers PWG; Department of Intensive Care Medicine, Amsterdam Medical Data Science (AMDS), Research VUmc Intensive Care (REVIVE), Amsterdam Cardiovascular Science (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
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Źródło :
Trials [Trials] 2019 Dec 18; Vol. 20 (1), pp. 745. Date of Electronic Publication: 2019 Dec 18.
Typ publikacji :
Clinical Trial Protocol; Journal Article
MeSH Terms :
Artificial Intelligence*
Research Design*
Anti-Bacterial Agents/*administration & dosage
Drug Monitoring/*methods
Shock, Septic/*drug therapy
Adult ; Anti-Bacterial Agents/pharmacokinetics ; Big Data ; Dose-Response Relationship, Drug ; Equivalence Trials as Topic ; Female ; Humans ; Intensive Care Units ; Kaplan-Meier Estimate ; Male ; Multicenter Studies as Topic ; Netherlands/epidemiology ; Randomized Controlled Trials as Topic ; Severity of Illness Index ; Shock, Septic/diagnosis ; Shock, Septic/mortality ; Treatment Outcome
Czasopismo naukowe
Tytuł :
Why physiology will continue to guide the choice between balanced crystalloids and normal saline: a systematic review and meta-analysis.
Autorzy :
Zwager CL; Department of Intensive Care Medicine, Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Infection and Immunity Institute (AI&II), De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
Tuinman PR; Department of Intensive Care Medicine, Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Infection and Immunity Institute (AI&II), De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
de Grooth HJ; Department of Intensive Care Medicine, Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Infection and Immunity Institute (AI&II), De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
Kooter J; Department of Internal Medicine, Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Infection and Immunity Institute (AI&II), De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
Ket H; University Library, Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Infection and Immunity Institute (AI&II), De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
Fleuren LM; Department of Intensive Care Medicine, Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Infection and Immunity Institute (AI&II), De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
Elbers PWG; Department of Intensive Care Medicine, Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Infection and Immunity Institute (AI&II), De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands. .
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Źródło :
Critical care (London, England) [Crit Care] 2019 Nov 21; Vol. 23 (1), pp. 366. Date of Electronic Publication: 2019 Nov 21.
Typ publikacji :
Journal Article; Meta-Analysis; Systematic Review
MeSH Terms :
Acute Kidney Injury/*mortality
Acute Kidney Injury/*therapy
Critical Care/*standards
Crystalloid Solutions/*administration & dosage
Renal Replacement Therapy/*mortality
Saline Solution/*administration & dosage
Acute Kidney Injury/physiopathology ; Critical Care/methods ; Crystalloid Solutions/adverse effects ; Humans ; Renal Replacement Therapy/trends ; Saline Solution/adverse effects
Czasopismo naukowe
Tytuł :
Clinically relevant pharmacokinetic knowledge on antibiotic dosing among intensive care professionals is insufficient: a cross-sectional study.
Autorzy :
Fleuren LM; Department of Intensive Care Medicine, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Sciences (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. l.fleuren@vumc.nl.
Roggeveen LF; Department of Intensive Care Medicine, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Sciences (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Guo T; Department of Intensive Care Medicine, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Sciences (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Waldauf P; Department of Anaesthesia and Intensive Care Medicine, Kralovske Vinohrady University Hospital and The Third Faculty of Medicine, Charles University, Prague, Czech Republic.
van der Voort PHJ; Intensive Care, OLVG, Amsterdam, The Netherlands.
Bosman RJ; Intensive Care, OLVG, Amsterdam, The Netherlands.
Swart EL; Department of Clinical Pharmacology and Pharmacy, Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Girbes ARJ; Department of Intensive Care Medicine, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Sciences (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Elbers PWG; Department of Intensive Care Medicine, Research VUmc Intensive Care (REVIVE), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Sciences (ACS), Amsterdam Infection and Immunity Institute (AI&II), Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
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Źródło :
Critical care (London, England) [Crit Care] 2019 May 22; Vol. 23 (1), pp. 185. Date of Electronic Publication: 2019 May 22.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Anti-Bacterial Agents/*administration & dosage
Anti-Bacterial Agents/*pharmacokinetics
Clinical Competence/*standards
Adult ; Anti-Bacterial Agents/therapeutic use ; Clinical Competence/statistics & numerical data ; Critical Illness/therapy ; Cross-Sectional Studies ; Drug Monitoring/methods ; Female ; Humans ; Intensive Care Units/organization & administration ; Intensive Care Units/statistics & numerical data ; Male ; Middle Aged ; Sepsis/drug therapy ; Surveys and Questionnaires
Czasopismo naukowe
Tytuł :
External Evaluation of Population Pharmacokinetic Models of Vancomycin in Large Cohorts of Intensive Care Unit Patients.
Autorzy :
Guo T; Department of Intensive Care Medicine, Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Amsterdam Medical Data Science (AMDS), Research VUmc Intensive Care (REVIVE), Amsterdam Cardiovascular Sciences (ACS), Amsterdam, The Netherlands .; Department of Pharmacy, Amsterdam UMC, Location AMC, University of Amsterdam, Amsterdam, The Netherlands.
van Hest RM; Department of Pharmacy, Amsterdam UMC, Location AMC, University of Amsterdam, Amsterdam, The Netherlands.
Roggeveen LF; Department of Intensive Care Medicine, Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Amsterdam Medical Data Science (AMDS), Research VUmc Intensive Care (REVIVE), Amsterdam Cardiovascular Sciences (ACS), Amsterdam, The Netherlands.
Fleuren LM; Department of Intensive Care Medicine, Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Amsterdam Medical Data Science (AMDS), Research VUmc Intensive Care (REVIVE), Amsterdam Cardiovascular Sciences (ACS), Amsterdam, The Netherlands.
Thoral PJ; Department of Intensive Care Medicine, Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Amsterdam Medical Data Science (AMDS), Research VUmc Intensive Care (REVIVE), Amsterdam Cardiovascular Sciences (ACS), Amsterdam, The Netherlands.
Bosman RJ; Intensive Care Unit, OLVG Oost, Amsterdam, The Netherlands.
van der Voort PHJ; Intensive Care Unit, OLVG Oost, Amsterdam, The Netherlands.
Girbes ARJ; Department of Intensive Care Medicine, Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Amsterdam Medical Data Science (AMDS), Research VUmc Intensive Care (REVIVE), Amsterdam Cardiovascular Sciences (ACS), Amsterdam, The Netherlands.
Mathot RAA; Department of Pharmacy, Amsterdam UMC, Location AMC, University of Amsterdam, Amsterdam, The Netherlands.
Elbers PWG; Department of Intensive Care Medicine, Amsterdam UMC, Location VUmc, Vrije Universiteit Amsterdam, Amsterdam Medical Data Science (AMDS), Research VUmc Intensive Care (REVIVE), Amsterdam Cardiovascular Sciences (ACS), Amsterdam, The Netherlands.
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Źródło :
Antimicrobial agents and chemotherapy [Antimicrob Agents Chemother] 2019 Apr 25; Vol. 63 (5). Date of Electronic Publication: 2019 Apr 25 (Print Publication: 2019).
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Anti-Bacterial Agents/*pharmacokinetics
Vancomycin/*pharmacokinetics
Adult ; Aged ; Algorithms ; Critical Care/statistics & numerical data ; Female ; Humans ; Intensive Care Units/statistics & numerical data ; Male ; Metabolic Clearance Rate ; Middle Aged
Czasopismo naukowe
    Wyświetlanie 1-11 z 11

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