Drip and ship versus direct to endovascular thrombectomy: The impact of treatment times on transport decision-making

Author:

Holodinsky Jessalyn K12ORCID,Patel Alka B13,Thornton John45,Kamal Noreen6,Jewett Lauren R7,Kelly Peter J8,Murphy Sean910,Collins Ronan11,Walsh Thomas12,Cronin Simon1314,Power Sarah15,Brennan Paul15,O’hare Alan15,McCabe Dominick JH161718,Moynihan Barry19,Looby Seamus15,Wyse Gerald20,McCormack Joan21,Marsden Paul22,Harbison Joseph23,Hill Michael D1262425ORCID,Williams David59

Affiliation:

1. Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada

2. Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada

3. O’Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada

4. Department of Neuroradiology, Royal College of Surgeons in Ireland, Dublin, Ireland

5. Beaumont Hospital, Dublin, Ireland

6. Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada

7. Department of Geography, University of Calgary, Calgary, Alberta, Canada

8. Neurovascular Unit for Translational and Therapeutics Research, Mater Misericordiae University Hospital/University College Dublin, Dublin, Ireland

9. Department of Geriatric and Stroke Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland

10. Mater Misericordiae University Hospital, Dublin, Ireland

11. Department of Geriatric and Stroke Medicine, Tallaght Hospital, Dublin, Ireland

12. Department of Stroke and Geriatric Medicine, Galway University Hospital, Galway, Ireland

13. Cork NeuroScience Centre, University College Cork, Cork, Ireland

14. Department of Neurology, Cork University Hospital, Cork, Ireland

15. Department of Neuroradiology, Beaumont Hospital, Dublin, Ireland

16. Department of Neurology, Stroke Service, and Vascular Neurology Research Foundation, The Adelaide and Meath Hospital (incorporating the National Children’s Hospital), Dublin, Ireland

17. Department of Clinical Neurosciences, UCL Institute of Neurology, London, UK

18. Academic Unit of Neurology, School of Medicine, Trinity College Dublin, Dublin, Ireland

19. Department of Geriatric and Stroke Medicine, Beaumont Hospital, Dublin, Ireland

20. Department of Neuroradiology, Cork University Hospital, Cork, Ireland

21. Faculty of Science and Health, Dublin City University, Dublin, Ireland

22. Department of Public Health, Health Services Executive, Tulamore, Ireland

23. Department of Medical Gerontology, Trinity College Dublin, Dublin, Ireland

24. Department of Radiology, University of Calgary, Calgary, Alberta, Canada

25. Department of Medicine, University of Calgary, Calgary, Alberta, Canada

Abstract

Introduction In ischaemic stroke care, fast reperfusion is essential for disability free survival. It is unknown if bypassing thrombolysis centres in favour of endovascular thrombectomy (mothership) outweighs transport to the nearest thrombolysis centre for alteplase and then transfer for endovascular thrombectomy (drip-and-ship). We use conditional probability modelling to determine the impact of treatment times on transport decision-making for acute ischaemic stroke. Materials and methods Probability of good outcome was modelled using a previously published framework, data from the Irish National Stroke Register, and an endovascular thrombectomy registry at a tertiary referral centre in Ireland. Ireland was divided into 139 regions, transport times between each region and hospital were estimated using Google’s Distance Matrix Application Program Interface. Results were mapped using ArcGIS 10.3. Results Using current treatment times, drip-and-ship rarely predicts best outcomes. However, if door to needle times are reduced to 30 min, drip-and-ship becomes more favourable; even more so if turnaround time (time from thrombolysis to departure for the endovascular thrombectomy centre) is also reduced. Reducing door to groin puncture times predicts better outcomes with the mothership model. Discussion This is the first case study modelling pre-hospital transport for ischaemic stroke utilising real treatment times in a defined geographic area. A moderate improvement in treatment times results in significant predicted changes to the optimisation of a national acute stroke patient transport strategy. Conclusions Modelling patient transport for system-level planning is sensitive to treatment times at both thrombolysis and thrombectomy centres and has important implications for the future planning of thrombectomy services.

Publisher

SAGE Publications

Subject

Cardiology and Cardiovascular Medicine,Neurology (clinical)

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