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Prehospital-Stroke-Scale Parameterized Hospital Selection Protocol for Suspected Stroke Patients Considering Door-to-Treatment Durations.
Wang, Chun-Han; Chang, Yu-Chen; Yang, Yung; Chiang, Wen-Chu; Tang, Sung-Chun; Tsai, Li-Kai; Lee, Chung-Wei; Jeng, Jiann-Shing; Ma, Matthew Huei-Ming; Hsieh, Ming-Ju; Lee, Yu-Ching.
Afiliación
  • Wang CH; Department of Industrial Engineering and Engineering Management National Tsing Hua University Hsinchu Taiwan.
  • Chang YC; Department of Industrial Engineering and Engineering Management National Tsing Hua University Hsinchu Taiwan.
  • Yang Y; Department of Industrial Engineering and Engineering Management National Tsing Hua University Hsinchu Taiwan.
  • Chiang WC; Department of Emergency Medicine National Taiwan University Hospital Yun-Lin Branch Yun-Lin County Taiwan.
  • Tang SC; Stroke Center and Department of Neurology National Taiwan University Hospital Taipei Taiwan.
  • Tsai LK; Stroke Center and Department of Neurology National Taiwan University Hospital Taipei Taiwan.
  • Lee CW; Department of Medical Imaging National Taiwan University Hospital Taipei Taiwan.
  • Jeng JS; Stroke Center and Department of Neurology National Taiwan University Hospital Taipei Taiwan.
  • Ma MH; Department of Emergency Medicine National Taiwan University Hospital Yun-Lin Branch Yun-Lin County Taiwan.
  • Hsieh MJ; Department of Emergency Medicine National Taiwan University Hospital Taipei Taiwan.
  • Lee YC; Department of Industrial Engineering and Engineering Management National Tsing Hua University Hsinchu Taiwan.
J Am Heart Assoc ; 11(7): e023760, 2022 04 05.
Article en En | MEDLINE | ID: mdl-35347996
ABSTRACT
Background To mitigate uncertainty that may arise in the judgment of emergency medical technicians when relying on a prehospital stroke scale at the scene, we propose a hospital selection protocol that considers the uncertainty of a prehospital stroke scale and the actual door-to-treatment durations, and we have developed a web-based system to be used with mobile devices. Methods and Results This hospital selection protocol incorporates real-time, estimated transport time obtained from Google Maps, historical median door-to-treatment duration at hospitals that only provide the standard intravenous thrombolysis treatment, and at hospitals with endovascular thrombectomy for probable large-vessel occlusion cases. We have validated the efficiency of the proposed protocol and compared it with other strategies used by emergency medical technicians when deciding on a receiving hospital. Using the proposed protocol for the triage reduces the time from onset to receiving definitive treatment by nearly 11 minutes. We found that the nearest endovascular thrombectomy-capable hospital from the scene may not be the most ideal if the door-to-treatment durations are discriminative. The results show that, when the tolerable bypass transport threshold and administration time are reduced to 9 minutes and 30.5 minutes, respectively, 228 patients out of 7678 cases, whose receiving hospitals were changed to endovascular thrombectomy-capable hospitals, received definitive treatment in a shorter time. The results of our analysis give recommendations for appropriate allowable bypass transport time for regional planning. Conclusions By applying almost-real value parameters, we have validated a web-based model, which can be universally adapted for optimal, time-saving hospital selection for patients with stroke.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Isquemia Encefálica / Accidente Cerebrovascular / Servicios Médicos de Urgencia / Procedimientos Endovasculares Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: J Am Heart Assoc Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Isquemia Encefálica / Accidente Cerebrovascular / Servicios Médicos de Urgencia / Procedimientos Endovasculares Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: J Am Heart Assoc Año: 2022 Tipo del documento: Article