Predictor variables of abnormal imaging findings of syncope in the emergency department

Kerem Ozturk, Esra Soylu, Cem Bilgin, Bahattin Hakyemez, Mufit Parlak

Research output: Contribution to journalArticlepeer-review

Abstract

© 2018, The Author(s). Background: This study aimed to describe the pathological findings and to analyze clinical predictors of abnormal imaging findings in patients presenting to the emergency department (ED) with syncope. Methods: The database was retrospectively reviewed for all patients who underwent cranial computed tomography (CT) or magnetic resonance imaging (MRI), having the symptom of syncope. Patients were included only if they were from the emergency department and excluded if were under 18 years of age, had known recent intracranial pathology, known brain tumor, or having a history of trauma. The primary outcome was assumed as abnormal head CT or MRI including intracranial hemorrhage, acute or subacute stroke, and newly diagnosed brain mass. Univariate and multivariate logistic regression analysis was utilized to determine the association between clinical variables and any significant pathology in either CT or MR scan. Results: Total of 1230 syncope (717 men and 513 women; range, 18–92 years; mean, 54.5 years) as presenting symptoms were identified in patients receiving either cranial CT or MR scan in the ED. Abnormal findings related to the syncope were observed in 47 (3.8%) patients. The following predictor variables were found to be significantly correlated with acutely abnormal head CT and MRI: a focal neurologic deficit, history of malignancy, hypertension, and age greater than 60 years. Conclusions: Our data offer that the identification of predictor variables has a potential to decrease the routine use of head CT and MRI in patients admitting to the ED with syncope.
Original languageEnglish (US)
JournalInternational Journal of Emergency Medicine
Volume11
Issue number1
DOIs
StatePublished - Dec 1 2018

Keywords

  • Computed tomography (CT)
  • Emergency department (ED)
  • Magnetic resonance imaging (MRI)
  • Syncope

PubMed: MeSH publication types

  • Journal Article

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