TY - JOUR
T1 - Drip and ship versus direct to endovascular thrombectomy
T2 - The impact of treatment times on transport decision-making
AU - Holodinsky, Jessalyn K.
AU - Patel, Alka B.
AU - Thornton, John
AU - Kamal, Noreen
AU - Jewett, Lauren R.
AU - Kelly, Peter J.
AU - Murphy, Sean
AU - Collins, Ronan
AU - Walsh, Thomas
AU - Cronin, Simon
AU - Power, Sarah
AU - Brennan, Paul
AU - O’hare, Alan
AU - McCabe, Dominick J.H.
AU - Moynihan, Barry
AU - Looby, Seamus
AU - Wyse, Gerald
AU - McCormack, Joan
AU - Marsden, Paul
AU - Harbison, Joseph
AU - Hill, Michael D.
AU - Williams, David
N1 - Publisher Copyright:
© 2018, © European Stroke Organisation 2018.
PY - 2018/6/1
Y1 - 2018/6/1
N2 - 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.
AB - 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.
KW - endovascular therapy
KW - health services research
KW - Ischaemic stroke
KW - thrombolysis
UR - https://www.scopus.com/pages/publications/85057059256
U2 - 10.1177/2396987318759362
DO - 10.1177/2396987318759362
M3 - Artículo
C2 - 31008345
AN - SCOPUS:85057059256
SN - 2396-9873
VL - 3
SP - 126
EP - 135
JO - European Stroke Journal
JF - European Stroke Journal
IS - 2
ER -