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

  • Jessalyn K. Holodinsky*
  • , Alka B. Patel
  • , John Thornton
  • , Noreen Kamal
  • , Lauren R. Jewett
  • , Peter J. Kelly
  • , Sean Murphy
  • , Ronan Collins
  • , Thomas Walsh
  • , Simon Cronin
  • , Sarah Power
  • , Paul Brennan
  • , Alan O’hare
  • , Dominick J.H. McCabe
  • , Barry Moynihan
  • , Seamus Looby
  • , Gerald Wyse
  • , Joan McCormack
  • , Paul Marsden
  • , Joseph Harbison
  • Michael D. Hill, David Williams
*Corresponding author for this work
  • University of Calgary
  • University of Calgary
  • Royal College of Surgeons in Ireland
  • Beaumont Hospital
  • University of Calgary
  • Mater Misericordiae University Hospital
  • Tallaght Hospital
  • University of Galway
  • University College Cork
  • Cork University Hospital
  • (incorporating the National Children’s Hospital)
  • Institute of Neurology
  • Trinity College Dublin
  • Dublin City University
  • Mid-Western Regional Hospital Limerick
  • The NatPro Centre. Trinity College Dublin

Research output: Contribution to journalArticlepeer-review

43 Scopus citations

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.

Original languageEnglish
Pages (from-to)126-135
Number of pages10
JournalEuropean Stroke Journal
Volume3
Issue number2
DOIs
StatePublished - 1 Jun 2018
Externally publishedYes

Keywords

  • endovascular therapy
  • health services research
  • Ischaemic stroke
  • thrombolysis

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