publication . Article . 2015

Clinical Predictors of Accurate Prehospital Stroke Recognition

J. Adam Oostema; John Konen; Todd Chassee; Mojdeh Nasiri; Mathew J. Reeves;
Open Access
  • Published: 31 Oct 2015 Journal: Stroke, volume 46, pages 1,513-1,517 (issn: 0039-2499, eissn: 1524-4628, Copyright policy)
  • Publisher: Ovid Technologies (Wolters Kluwer Health)
Abstract
Background and Purpose—Prehospital activation of in-hospital stroke response hastens treatment but depends on accurate emergency medical services (EMS) stroke recognition. We sought to measure EMS stroke recognition accuracy and identify clinical factors associated with correct stroke identification. Methods—Using EMS and hospital records, we assembled a cohort of EMS-transported suspect, confirmed, or missed ischemic stroke or transient ischemic attack cases. The sensitivity and positive predictive value (PPV) for EMS stroke recognition were calculated using the hospital discharge diagnosis as the gold standard. We used multivariable logistic regression analysi...
Subjects
Medical Subject Headings: cardiovascular diseases
free text keywords: Stroke, medicine.disease, medicine, Emergency medicine, medicine.medical_specialty, Discharge diagnosis, Gold standard, Hospital records, Logistic regression, Pediatrics, Emergency medical services, business.industry, business, Diabetes mellitus, Physical therapy, Cohort, Intensive care medicine
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publication . Article . 2015

Clinical Predictors of Accurate Prehospital Stroke Recognition

J. Adam Oostema; John Konen; Todd Chassee; Mojdeh Nasiri; Mathew J. Reeves;