Literature DB >> 22895996

Maximizing the population benefit from thrombolysis in acute ischemic stroke: a modeling study of in-hospital delays.

Thomas Monks1, Martin Pitt, Ken Stein, Martin James.   

Abstract

BACKGROUND AND
PURPOSE: To maximize the benefits of thrombolysis, it is necessary not only to treat more patients, but to deliver treatment as early as possible. The aims of our study were to prospectively evaluate the clinical benefit from reducing delays in the emergency stroke pathway at our district hospital and examine outcomes from scenarios that include extension of the alteplase license.
METHODS: We developed a discrete-event simulation from prospective data for patients with stroke arriving at our large district hospital. We modeled current practice and assessed the impact on stroke outcomes of measures to reduce in-hospital delays to alteplase treatment and of extensions to the European license for alteplase from 3 to 4.5 hours and to people aged >80 years.
RESULTS: Extension of the time window to 4.5 hours increases the thrombolysis rate by 4%, yielding an additional 2 patients per year with minimal or no disability at 3 months. Time window extension is most effective when combined with a system of prealerts, achieving a thrombolysis rate of 15% and an additional 8 patients per year with minimal or no disability, increasing to 13 patients per year with extension of the license to patients >80 years.
CONCLUSIONS: If implemented alone, extension of the time window for alteplase has only a modest additional population disability benefit, but this benefit can be increased 5-fold if time window extension is combined with substantial reductions to in-hospital delays.

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Year:  2012        PMID: 22895996     DOI: 10.1161/STROKEAHA.112.663187

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  13 in total

1.  Intravenous thrombolysis for acute stroke: current standards and future directions.

Authors:  Lucille Ramani; Xuya Huang; Bharathkumar Cheripelli; Keith W Muir
Journal:  Curr Treat Options Cardiovasc Med       Date:  2015-04

2.  Addressing the variation of post-surgical inpatient census with computer simulation.

Authors:  Theodore Eugene Day; Albert Chi; Matthew Harris Rutberg; Ashley J Zahm; Victoria M Otarola; Jeffrey M Feldman; Caroline A Pasquariello
Journal:  Pediatr Surg Int       Date:  2014-01-30       Impact factor: 1.827

3.  Collaborative research and the co-production of knowledge for practice: an illustrative case study.

Authors:  Janet Heaton; Jo Day; Nicky Britten
Journal:  Implement Sci       Date:  2016-02-20       Impact factor: 7.327

4.  Can clinical audits be enhanced by pathway simulation and machine learning? An example from the acute stroke pathway.

Authors:  Michael Allen; Kerry Pearn; Thomas Monks; Benjamin D Bray; Richard Everson; Andrew Salmon; Martin James; Ken Stein
Journal:  BMJ Open       Date:  2019-09-17       Impact factor: 2.692

5.  Thrombolysis in acute ischemic stroke: a simulation study to improve pre- and in-hospital delays in community hospitals.

Authors:  Maarten M H Lahr; Durk-Jouke van der Zee; Patrick C A J Vroomen; Gert-Jan Luijckx; Erik Buskens
Journal:  PLoS One       Date:  2013-11-18       Impact factor: 3.240

6.  Operational research as implementation science: definitions, challenges and research priorities.

Authors:  Thomas Monks
Journal:  Implement Sci       Date:  2016-06-06       Impact factor: 7.327

7.  A modelling tool for capacity planning in acute and community stroke services.

Authors:  Thomas Monks; David Worthington; Michael Allen; Martin Pitt; Ken Stein; Martin A James
Journal:  BMC Health Serv Res       Date:  2016-09-29       Impact factor: 2.655

8.  Improving the production of applied health research findings: insights from a qualitative study of operational research.

Authors:  Sonya Crowe; Simon Turner; Martin Utley; Naomi J Fulop
Journal:  Implement Sci       Date:  2017-09-08       Impact factor: 7.327

9.  Feasibility of a hyper-acute stroke unit model of care across England: a modelling analysis.

Authors:  Michael Allen; Kerry Pearn; Emma Villeneuve; Thomas Monks; Ken Stein; Martin James
Journal:  BMJ Open       Date:  2017-12-14       Impact factor: 2.692

10.  Interpretation of Brain CT Scans in the Field by Critical Care Physicians in a Mobile Stroke Unit.

Authors:  Maren Ranhoff Hov; Erik Zakariassen; Thomas Lindner; Terje Nome; Kristi G Bache; Jo Røislien; Jostein Gleditsch; Volker Solyga; David Russell; Christian G Lund
Journal:  J Neuroimaging       Date:  2017-07-27       Impact factor: 2.486

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