Patient characteristics affecting stroke identification by emergency medical service providers in Brooklyn, New York

Mohit Sharma1, Elizabeth Helzner2, Richard Sinert3

  • 1Department of Community Medicine, Government Medical College and Guru Nanak Dev Hospital, Amritsar, 143001, India. mohitsharma.dr@gmail.com.

Insights

Emergency Medical Services (EMS) correctly identified 58.7% of stroke cases, with overcalled strokes occurring in patients with a history of seizures. Key predictors for accurate stroke diagnosis include altered mental status and vital signs.

Area of Science:

  • Neurology
  • Emergency Medicine
  • Public Health

Background:

  • Early stroke identification in the prehospital setting is critical due to time-sensitive treatments like thrombolysis and clot extraction.
  • Accurate prehospital stroke diagnosis by emergency medical services (EMS) is essential for timely patient management.

Purpose of the Study:

  • To identify patient characteristics influencing prehospital stroke diagnosis by Long Island College Hospital (LICH) EMS.
  • To evaluate the accuracy of LICH EMS in identifying stroke patients.

Main Methods:

  • Retrospective study of 10,384 patients transported by LICH EMS between January 1, 2010, and December 31, 2011.
  • Comparison of prehospital care report diagnoses with the Get With The Guidelines (GWTG) database for cerebrovascular diagnoses.
  • Age-adjusted logistic regression analysis to determine predictors of accurate or overcalled stroke diagnoses.

Main Results:

  • LICH EMS correctly identified 44 out of 75 confirmed stroke cases (sensitivity 58.7%), with a specificity of 99.5%.
  • Overcalling stroke occurred in 51 patients, particularly those with a history of seizures or past medical history.
  • Predictors for true stroke diagnosis included dispatcher-designated altered mental status, stroke, unconsciousness, and higher prehospital blood pressure quartiles.

Conclusions:

  • Prehospital stroke identification by EMS has moderate sensitivity, highlighting a significant rate of missed diagnoses.
  • Patient history, dispatcher-provided information, and prehospital vital signs are associated with accurate stroke diagnosis.
  • Further improvements in EMS stroke recognition are needed, especially for patients with non-specific symptoms or pre-existing conditions.

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