Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease (Apr 2022)

Prehospital‐Stroke‐Scale Parameterized Hospital Selection Protocol for Suspected Stroke Patients Considering Door‐to‐Treatment Durations

  • Chun‐Han Wang,
  • Yu‐Chen Chang,
  • Yung Yang,
  • Wen‐Chu Chiang,
  • Sung‐Chun Tang,
  • Li‐Kai Tsai,
  • Chung‐Wei Lee,
  • Jiann‐Shing Jeng,
  • Matthew Huei‐Ming Ma,
  • Ming‐Ju Hsieh,
  • Yu‐Ching Lee

DOI
https://doi.org/10.1161/JAHA.121.023760
Journal volume & issue
Vol. 11, no. 7

Abstract

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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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