Rural Computed Tomography - a model for access to rapid stroke care in sparsely populated areas?

农村计算机断层扫描——为人口稀少地区提供快速中风治疗的模式?

阅读:1

Abstract

BACKGROUND: Patients living in rural districts may have limited access to acute stroke treatment due to long transport times to hospital facilities with radiology and revascularization therapy. This study simulates the utility of transferring acute diagnostics and treatment into rural areas by deployment of rural Computed Tomography (CT) services. METHODS: In Hallingdal county, Norway, a CT and thrombolytic station is operated in a local medical centre. We hypothetically deployed similar stations in rural Norway to explore the impact of such model of prehospital rural acute stroke treatment on ambulance transport times and patient outcomes after ischemic stroke. In addition, we described consequent changes in transport strategy for patients with suspected Large Vessel Occlusion (LVO) stroke. RESULTS: Significant reductions in hypothetical transport times were obtained after deployment of 30 rural CT stations. The part of the Norwegian population not eligible for thrombolysis within the recommended time window due to long transport time decreased from 11% to 1% (p< 0.001). By simulation of 1000 ischemic strokes, the estimated odds ratio for good outcome judged by modified Rankin Scale after thrombolysis for the rural population increased from 1.37 to 1.61 (p < 0.001). When LVO stroke was suspected, rural CT stations slightly increased the geographical area in which patients would receive local thrombolysis before transport to endovascular treatment. CONCLUSIONS: Deployment of rural CT stations may facilitate rapid triage and early thrombolysis for patients with acute ischemic stroke living furthest away from hospital and this concept may be applicable to other health care systems worldwide. However, further research is needed to confirm its utility in the clinical setting. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-026-14307-6.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。