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Factors affecting time between symptom onset and emergency department arrival in stroke patients
BACKGROUND AND PURPOSE: Delays in seeking care compromise diagnosis, treatment options, and outcomes in ischemic strokes. This study identified factors associated with time between stroke symptom onset and emergency department (ED) arrival at a private nonprofit medical center serving a large rural...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7649365/ https://www.ncbi.nlm.nih.gov/pubmed/33204859 http://dx.doi.org/10.1016/j.ensci.2020.100285 |
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author | Le, Scott M. Copeland, Laurel A. Zeber, John E. Benge, Jared F. Allen, Leigh Cho, Jinmyoung Liao, I-Chia Rasmussen, Jennifer |
author_facet | Le, Scott M. Copeland, Laurel A. Zeber, John E. Benge, Jared F. Allen, Leigh Cho, Jinmyoung Liao, I-Chia Rasmussen, Jennifer |
author_sort | Le, Scott M. |
collection | PubMed |
description | BACKGROUND AND PURPOSE: Delays in seeking care compromise diagnosis, treatment options, and outcomes in ischemic strokes. This study identified factors associated with time between stroke symptom onset and emergency department (ED) arrival at a private nonprofit medical center serving a large rural catchment area in central Texas, with the goal of identifying symptomatic, demographic, and historical factors that might influence seeking care. METHODS: Demographic and clinical data from a large tertiary care center's Get With The Guidelines (GWTG) database were evaluated in 1874 patients presenting to the ED with a diagnosis of transient ischemic attack (TIA), intracranial hemorrhage, subarachnoid hemorrhage, or ischemic stroke. The dependent variable was time between discovery of stroke symptoms and presentation at the hospital (time-to-ED). Factors entered into regression models predicting time-to-ED within 4 h or categorical time-to-ED. RESULTS: The average time from symptom onset to presentation was 15.0 h (sd = 23.2), with 43.6% of the sample presenting within 4 h of symptom onset. Results suggested that female gender (Odds Ratio [OR] = 0.70; 95% Confidence Interval [CI] 0.23–0.74), drug abuse (OR = 0.41; CI 0.23–0.74), and diabetes were significantly associated with longer time to presentation. CONCLUSIONS: A combination of demographics, stroke severity, timing, and health history contributes to delays in presenting for treatment for ischemic stroke. Stroke education concentrating on symptom recognition may benefit from a special focus on high-risk individuals as highlighted in this study. |
format | Online Article Text |
id | pubmed-7649365 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-76493652020-11-16 Factors affecting time between symptom onset and emergency department arrival in stroke patients Le, Scott M. Copeland, Laurel A. Zeber, John E. Benge, Jared F. Allen, Leigh Cho, Jinmyoung Liao, I-Chia Rasmussen, Jennifer eNeurologicalSci Original Article BACKGROUND AND PURPOSE: Delays in seeking care compromise diagnosis, treatment options, and outcomes in ischemic strokes. This study identified factors associated with time between stroke symptom onset and emergency department (ED) arrival at a private nonprofit medical center serving a large rural catchment area in central Texas, with the goal of identifying symptomatic, demographic, and historical factors that might influence seeking care. METHODS: Demographic and clinical data from a large tertiary care center's Get With The Guidelines (GWTG) database were evaluated in 1874 patients presenting to the ED with a diagnosis of transient ischemic attack (TIA), intracranial hemorrhage, subarachnoid hemorrhage, or ischemic stroke. The dependent variable was time between discovery of stroke symptoms and presentation at the hospital (time-to-ED). Factors entered into regression models predicting time-to-ED within 4 h or categorical time-to-ED. RESULTS: The average time from symptom onset to presentation was 15.0 h (sd = 23.2), with 43.6% of the sample presenting within 4 h of symptom onset. Results suggested that female gender (Odds Ratio [OR] = 0.70; 95% Confidence Interval [CI] 0.23–0.74), drug abuse (OR = 0.41; CI 0.23–0.74), and diabetes were significantly associated with longer time to presentation. CONCLUSIONS: A combination of demographics, stroke severity, timing, and health history contributes to delays in presenting for treatment for ischemic stroke. Stroke education concentrating on symptom recognition may benefit from a special focus on high-risk individuals as highlighted in this study. Elsevier 2020-10-24 /pmc/articles/PMC7649365/ /pubmed/33204859 http://dx.doi.org/10.1016/j.ensci.2020.100285 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Le, Scott M. Copeland, Laurel A. Zeber, John E. Benge, Jared F. Allen, Leigh Cho, Jinmyoung Liao, I-Chia Rasmussen, Jennifer Factors affecting time between symptom onset and emergency department arrival in stroke patients |
title | Factors affecting time between symptom onset and emergency department arrival in stroke patients |
title_full | Factors affecting time between symptom onset and emergency department arrival in stroke patients |
title_fullStr | Factors affecting time between symptom onset and emergency department arrival in stroke patients |
title_full_unstemmed | Factors affecting time between symptom onset and emergency department arrival in stroke patients |
title_short | Factors affecting time between symptom onset and emergency department arrival in stroke patients |
title_sort | factors affecting time between symptom onset and emergency department arrival in stroke patients |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7649365/ https://www.ncbi.nlm.nih.gov/pubmed/33204859 http://dx.doi.org/10.1016/j.ensci.2020.100285 |
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