Holodinsky Jessalyn K, Patel Alka B, Thornton John, Kamal Noreen, Jewett Lauren R, Kelly Peter J, Murphy Sean, Collins Ronan, Walsh Thomas, Cronin Simon, Power Sarah, Brennan Paul, O'hare Alan, McCabe Dominick Jh, Moynihan Barry, Looby Seamus, Wyse Gerald, McCormack Joan, Marsden Paul, Harbison Joseph, Hill Michael D, Williams David
Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.
Eur Stroke J. 2018 Jun;3(2):126-135. doi: 10.1177/2396987318759362. Epub 2018 Feb 14.
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.
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.
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.
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.
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.
在缺血性中风治疗中,快速再灌注对于实现无残疾生存至关重要。相较于转运至最近的溶栓中心接受阿替普酶治疗,然后再转至血管内血栓切除术中心(“点滴转运”模式),绕过溶栓中心直接前往血管内血栓切除术中心(“母舰”模式)是否更具优势尚不清楚。我们使用条件概率模型来确定治疗时间对急性缺血性中风转运决策的影响。
使用先前发表的框架、爱尔兰国家中风登记处的数据以及爱尔兰一家三级转诊中心的血管内血栓切除术登记数据,对良好预后的概率进行建模。爱尔兰被划分为139个区域,利用谷歌距离矩阵应用程序编程接口估算每个区域与医院之间的转运时间。使用ArcGIS 10.3绘制结果。
按照当前的治疗时间,“点滴转运”模式很少能预测出最佳预后。然而,如果从入院到开始溶栓的时间缩短至30分钟,“点滴转运”模式就会变得更具优势;若再缩短从溶栓到出发前往血管内血栓切除术中心的周转时间,优势则更加明显。缩短从入院到股动脉穿刺的时间,“母舰”模式能预测出更好的预后。
这是首个利用特定地理区域内的实际治疗时间对缺血性中风院前转运进行建模的案例研究。治疗时间的适度改善会导致国家急性中风患者转运策略优化方面出现显著的预测变化。
针对系统层面规划对患者转运进行建模,对溶栓中心和血栓切除术中心的治疗时间都很敏感,对未来血栓切除术服务的规划具有重要意义。