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Temporal Trends and Risk Factors for Delayed Hospital Admission in Suspected Stroke Patients

(1) Background: The benefit of acute ischemic stroke (AIS) treatment declines with any time delay until treatment. Hence, factors influencing the time from symptom onset to admission (TTA) are of utmost importance. This study aimed to assess temporal trends and risk factors for delays in TTA. (2) Me...

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Autores principales: Kielkopf, Moritz, Meinel, Thomas, Kaesmacher, Johannes, Fischer, Urs, Arnold, Marcel, Heldner, Mirjam, Seiffge, David, Mordasini, Pasquale, Dobrocky, Tomas, Piechowiak, Eike, Gralla, Jan, Jung, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7464858/
https://www.ncbi.nlm.nih.gov/pubmed/32722432
http://dx.doi.org/10.3390/jcm9082376
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author Kielkopf, Moritz
Meinel, Thomas
Kaesmacher, Johannes
Fischer, Urs
Arnold, Marcel
Heldner, Mirjam
Seiffge, David
Mordasini, Pasquale
Dobrocky, Tomas
Piechowiak, Eike
Gralla, Jan
Jung, Simon
author_facet Kielkopf, Moritz
Meinel, Thomas
Kaesmacher, Johannes
Fischer, Urs
Arnold, Marcel
Heldner, Mirjam
Seiffge, David
Mordasini, Pasquale
Dobrocky, Tomas
Piechowiak, Eike
Gralla, Jan
Jung, Simon
author_sort Kielkopf, Moritz
collection PubMed
description (1) Background: The benefit of acute ischemic stroke (AIS) treatment declines with any time delay until treatment. Hence, factors influencing the time from symptom onset to admission (TTA) are of utmost importance. This study aimed to assess temporal trends and risk factors for delays in TTA. (2) Methods: We included 1244 consecutive patients from 2015 to 2018 with suspected stroke presenting within 24 h after symptom onset registered in our prospective, pre-specified hospital database. Temporal trends were assessed by comparing with a cohort of a previous study in 2006. Factors associated with TTA were assessed by univariable and multivariable regression analysis. (3) Results: In 1244 patients (median [IQR] age 73 [60–82] years; 44% women), the median TTA was 96 min (IQR 66–164). The prehospital time delay reduced by 27% in the last 12 years and the rate of patients referred by Emergency medical services (EMS) increased from 17% to 51% and the TTA for admissions by General Practitioner (GP) declined from 244 to 207 min. Factors associated with a delay in TTA were stroke severity (beta−1.9; 95% CI–3.6 to −0.2 min per point NIHSS score), referral by General Practitioner (GP, beta +140 min, 95% CI 100–179), self-admission (+92 min, 95% CI 57–128) as compared to admission by emergency medical services (EMS) and symptom onset during nighttime (+57 min, 95% CI 30–85). Conclusions: Although TTA improved markedly since 2006, our data indicates that continuous efforts are mandatory to raise public awareness on the importance of fast hospital referral in patients with suspected stroke by directly informing EMS, avoiding contact of a GP, and maintaining high effort for fast transportation also in patients with milder symptoms.
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spelling pubmed-74648582020-09-04 Temporal Trends and Risk Factors for Delayed Hospital Admission in Suspected Stroke Patients Kielkopf, Moritz Meinel, Thomas Kaesmacher, Johannes Fischer, Urs Arnold, Marcel Heldner, Mirjam Seiffge, David Mordasini, Pasquale Dobrocky, Tomas Piechowiak, Eike Gralla, Jan Jung, Simon J Clin Med Article (1) Background: The benefit of acute ischemic stroke (AIS) treatment declines with any time delay until treatment. Hence, factors influencing the time from symptom onset to admission (TTA) are of utmost importance. This study aimed to assess temporal trends and risk factors for delays in TTA. (2) Methods: We included 1244 consecutive patients from 2015 to 2018 with suspected stroke presenting within 24 h after symptom onset registered in our prospective, pre-specified hospital database. Temporal trends were assessed by comparing with a cohort of a previous study in 2006. Factors associated with TTA were assessed by univariable and multivariable regression analysis. (3) Results: In 1244 patients (median [IQR] age 73 [60–82] years; 44% women), the median TTA was 96 min (IQR 66–164). The prehospital time delay reduced by 27% in the last 12 years and the rate of patients referred by Emergency medical services (EMS) increased from 17% to 51% and the TTA for admissions by General Practitioner (GP) declined from 244 to 207 min. Factors associated with a delay in TTA were stroke severity (beta−1.9; 95% CI–3.6 to −0.2 min per point NIHSS score), referral by General Practitioner (GP, beta +140 min, 95% CI 100–179), self-admission (+92 min, 95% CI 57–128) as compared to admission by emergency medical services (EMS) and symptom onset during nighttime (+57 min, 95% CI 30–85). Conclusions: Although TTA improved markedly since 2006, our data indicates that continuous efforts are mandatory to raise public awareness on the importance of fast hospital referral in patients with suspected stroke by directly informing EMS, avoiding contact of a GP, and maintaining high effort for fast transportation also in patients with milder symptoms. MDPI 2020-07-25 /pmc/articles/PMC7464858/ /pubmed/32722432 http://dx.doi.org/10.3390/jcm9082376 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kielkopf, Moritz
Meinel, Thomas
Kaesmacher, Johannes
Fischer, Urs
Arnold, Marcel
Heldner, Mirjam
Seiffge, David
Mordasini, Pasquale
Dobrocky, Tomas
Piechowiak, Eike
Gralla, Jan
Jung, Simon
Temporal Trends and Risk Factors for Delayed Hospital Admission in Suspected Stroke Patients
title Temporal Trends and Risk Factors for Delayed Hospital Admission in Suspected Stroke Patients
title_full Temporal Trends and Risk Factors for Delayed Hospital Admission in Suspected Stroke Patients
title_fullStr Temporal Trends and Risk Factors for Delayed Hospital Admission in Suspected Stroke Patients
title_full_unstemmed Temporal Trends and Risk Factors for Delayed Hospital Admission in Suspected Stroke Patients
title_short Temporal Trends and Risk Factors for Delayed Hospital Admission in Suspected Stroke Patients
title_sort temporal trends and risk factors for delayed hospital admission in suspected stroke patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7464858/
https://www.ncbi.nlm.nih.gov/pubmed/32722432
http://dx.doi.org/10.3390/jcm9082376
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