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The accuracy of prehospital diagnosis of acute cerebrovascular accidents: an observational study
INTRODUCTION: Time to treatment is the key factor in stroke care. Although the initial medical assessment is usually made by a non-neurologist or a paramedic, it should ensure correct identification of all acute cerebrovascular accidents (CVAs). Our aim was to evaluate the accuracy of the physician-...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Termedia Publishing House
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4495149/ https://www.ncbi.nlm.nih.gov/pubmed/26170845 http://dx.doi.org/10.5114/aoms.2015.52355 |
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author | Karliński, Michał Gluszkiewicz, Marcin Członkowska, Anna |
author_facet | Karliński, Michał Gluszkiewicz, Marcin Członkowska, Anna |
author_sort | Karliński, Michał |
collection | PubMed |
description | INTRODUCTION: Time to treatment is the key factor in stroke care. Although the initial medical assessment is usually made by a non-neurologist or a paramedic, it should ensure correct identification of all acute cerebrovascular accidents (CVAs). Our aim was to evaluate the accuracy of the physician-made prehospital diagnosis of acute CVA in patients referred directly to the neurological emergency department (ED), and to identify conditions mimicking CVAs. MATERIAL AND METHODS: This observational study included consecutive patients referred to our neurological ED by emergency physicians with a suspicion of CVA (acute stroke, transient ischemic attack (TIA) or a syndrome-based diagnosis) during 12 months. Referrals were considered correct if the prehospital diagnosis of CVA proved to be stroke or TIA. RESULTS: The prehospital diagnosis of CVA was correct in 360 of 570 cases. Its positive predictive value ranged from 100% for the syndrome-based diagnosis, through 70% for stroke, to 34% for TIA. Misdiagnoses were less frequent among ambulance physicians compared to primary care and outpatient physicians (33% vs. 52%, p < 0.001). The most frequent mimics were vertigo (19%), electrolyte and metabolic disturbances (12%), seizures (11%), cardiovascular disorders (10%), blood hypertension (8%) and brain tumors (5%). Additionally, 6% of all admitted CVA cases were referred with prehospital diagnoses other than CVA. CONCLUSIONS: Emergency physicians appear to be sensitive in diagnosing CVAs but their overall accuracy does not seem high. They tend to overuse the diagnosis of TIA. Constant education and adoption of stroke screening scales may be beneficial for emergency care systems based both on physicians and on paramedics. |
format | Online Article Text |
id | pubmed-4495149 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Termedia Publishing House |
record_format | MEDLINE/PubMed |
spelling | pubmed-44951492015-07-13 The accuracy of prehospital diagnosis of acute cerebrovascular accidents: an observational study Karliński, Michał Gluszkiewicz, Marcin Członkowska, Anna Arch Med Sci Clinical Research INTRODUCTION: Time to treatment is the key factor in stroke care. Although the initial medical assessment is usually made by a non-neurologist or a paramedic, it should ensure correct identification of all acute cerebrovascular accidents (CVAs). Our aim was to evaluate the accuracy of the physician-made prehospital diagnosis of acute CVA in patients referred directly to the neurological emergency department (ED), and to identify conditions mimicking CVAs. MATERIAL AND METHODS: This observational study included consecutive patients referred to our neurological ED by emergency physicians with a suspicion of CVA (acute stroke, transient ischemic attack (TIA) or a syndrome-based diagnosis) during 12 months. Referrals were considered correct if the prehospital diagnosis of CVA proved to be stroke or TIA. RESULTS: The prehospital diagnosis of CVA was correct in 360 of 570 cases. Its positive predictive value ranged from 100% for the syndrome-based diagnosis, through 70% for stroke, to 34% for TIA. Misdiagnoses were less frequent among ambulance physicians compared to primary care and outpatient physicians (33% vs. 52%, p < 0.001). The most frequent mimics were vertigo (19%), electrolyte and metabolic disturbances (12%), seizures (11%), cardiovascular disorders (10%), blood hypertension (8%) and brain tumors (5%). Additionally, 6% of all admitted CVA cases were referred with prehospital diagnoses other than CVA. CONCLUSIONS: Emergency physicians appear to be sensitive in diagnosing CVAs but their overall accuracy does not seem high. They tend to overuse the diagnosis of TIA. Constant education and adoption of stroke screening scales may be beneficial for emergency care systems based both on physicians and on paramedics. Termedia Publishing House 2015-06-19 2015-06-19 /pmc/articles/PMC4495149/ /pubmed/26170845 http://dx.doi.org/10.5114/aoms.2015.52355 Text en Copyright © 2015 Termedia & Banach http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Research Karliński, Michał Gluszkiewicz, Marcin Członkowska, Anna The accuracy of prehospital diagnosis of acute cerebrovascular accidents: an observational study |
title | The accuracy of prehospital diagnosis of acute cerebrovascular accidents: an observational study |
title_full | The accuracy of prehospital diagnosis of acute cerebrovascular accidents: an observational study |
title_fullStr | The accuracy of prehospital diagnosis of acute cerebrovascular accidents: an observational study |
title_full_unstemmed | The accuracy of prehospital diagnosis of acute cerebrovascular accidents: an observational study |
title_short | The accuracy of prehospital diagnosis of acute cerebrovascular accidents: an observational study |
title_sort | accuracy of prehospital diagnosis of acute cerebrovascular accidents: an observational study |
topic | Clinical Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4495149/ https://www.ncbi.nlm.nih.gov/pubmed/26170845 http://dx.doi.org/10.5114/aoms.2015.52355 |
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