Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ozturk, Kerem, Soylu, Esra, Bilgin, Cem, Hakyemez, Bahattin, Parlak, Mufit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5847632/
https://www.ncbi.nlm.nih.gov/pubmed/29532345
http://dx.doi.org/10.1186/s12245-018-0180-0
_version_ 1783305764793745408
author Ozturk, Kerem
Soylu, Esra
Bilgin, Cem
Hakyemez, Bahattin
Parlak, Mufit
author_facet Ozturk, Kerem
Soylu, Esra
Bilgin, Cem
Hakyemez, Bahattin
Parlak, Mufit
author_sort Ozturk, Kerem
collection PubMed
description 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.
format Online
Article
Text
id pubmed-5847632
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-58476322018-03-20 Predictor variables of abnormal imaging findings of syncope in the emergency department Ozturk, Kerem Soylu, Esra Bilgin, Cem Hakyemez, Bahattin Parlak, Mufit Int J Emerg Med Original Research 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. Springer Berlin Heidelberg 2018-03-12 /pmc/articles/PMC5847632/ /pubmed/29532345 http://dx.doi.org/10.1186/s12245-018-0180-0 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Research
Ozturk, Kerem
Soylu, Esra
Bilgin, Cem
Hakyemez, Bahattin
Parlak, Mufit
Predictor variables of abnormal imaging findings of syncope in the emergency department
title Predictor variables of abnormal imaging findings of syncope in the emergency department
title_full Predictor variables of abnormal imaging findings of syncope in the emergency department
title_fullStr Predictor variables of abnormal imaging findings of syncope in the emergency department
title_full_unstemmed Predictor variables of abnormal imaging findings of syncope in the emergency department
title_short Predictor variables of abnormal imaging findings of syncope in the emergency department
title_sort predictor variables of abnormal imaging findings of syncope in the emergency department
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5847632/
https://www.ncbi.nlm.nih.gov/pubmed/29532345
http://dx.doi.org/10.1186/s12245-018-0180-0
work_keys_str_mv AT ozturkkerem predictorvariablesofabnormalimagingfindingsofsyncopeintheemergencydepartment
AT soyluesra predictorvariablesofabnormalimagingfindingsofsyncopeintheemergencydepartment
AT bilgincem predictorvariablesofabnormalimagingfindingsofsyncopeintheemergencydepartment
AT hakyemezbahattin predictorvariablesofabnormalimagingfindingsofsyncopeintheemergencydepartment
AT parlakmufit predictorvariablesofabnormalimagingfindingsofsyncopeintheemergencydepartment