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...

Full description

Bibliographic Details
Main Authors: Moritz Kielkopf, Thomas Meinel, Johannes Kaesmacher, Urs Fischer, Marcel Arnold, Mirjam Heldner, David Seiffge, Pasquale Mordasini, Tomas Dobrocky, Eike Piechowiak, Jan Gralla, Simon Jung
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Journal of Clinical Medicine
Subjects:
Online Access:https://www.mdpi.com/2077-0383/9/8/2376
id doaj-43543e01f5244d10a526c0a1a99f42a0
record_format Article
spelling doaj-43543e01f5244d10a526c0a1a99f42a02020-11-25T03:51:39ZengMDPI AGJournal of Clinical Medicine2077-03832020-07-0192376237610.3390/jcm9082376Temporal Trends and Risk Factors for Delayed Hospital Admission in Suspected Stroke PatientsMoritz Kielkopf0Thomas Meinel1Johannes Kaesmacher2Urs Fischer3Marcel Arnold4Mirjam Heldner5David Seiffge6Pasquale Mordasini7Tomas Dobrocky8Eike Piechowiak9Jan Gralla10Simon Jung11Department of Neurology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, SwitzerlandDepartment of Neurology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, SwitzerlandInstitute of Diagnostic and Interventional Neuroradiology, Institute of Diagnostic, Interventional and Pediatric, Radiology and Department of Neurology, University Hospital Bern, Inselspital, University of Bern, 3010 Bern, SwitzerlandDepartment of Neurology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, SwitzerlandDepartment of Neurology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, SwitzerlandDepartment of Neurology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, SwitzerlandDepartment of Neurology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, SwitzerlandUniversity Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, SwitzerlandUniversity Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, SwitzerlandUniversity Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, SwitzerlandUniversity Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, SwitzerlandDepartment of Neurology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland(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.https://www.mdpi.com/2077-0383/9/8/2376time to admissionprehospital delaystrokeprior stroke
collection DOAJ
language English
format Article
sources DOAJ
author Moritz Kielkopf
Thomas Meinel
Johannes Kaesmacher
Urs Fischer
Marcel Arnold
Mirjam Heldner
David Seiffge
Pasquale Mordasini
Tomas Dobrocky
Eike Piechowiak
Jan Gralla
Simon Jung
spellingShingle Moritz Kielkopf
Thomas Meinel
Johannes Kaesmacher
Urs Fischer
Marcel Arnold
Mirjam Heldner
David Seiffge
Pasquale Mordasini
Tomas Dobrocky
Eike Piechowiak
Jan Gralla
Simon Jung
Temporal Trends and Risk Factors for Delayed Hospital Admission in Suspected Stroke Patients
Journal of Clinical Medicine
time to admission
prehospital delay
stroke
prior stroke
author_facet Moritz Kielkopf
Thomas Meinel
Johannes Kaesmacher
Urs Fischer
Marcel Arnold
Mirjam Heldner
David Seiffge
Pasquale Mordasini
Tomas Dobrocky
Eike Piechowiak
Jan Gralla
Simon Jung
author_sort Moritz Kielkopf
title 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_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_sort temporal trends and risk factors for delayed hospital admission in suspected stroke patients
publisher MDPI AG
series Journal of Clinical Medicine
issn 2077-0383
publishDate 2020-07-01
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.
topic time to admission
prehospital delay
stroke
prior stroke
url https://www.mdpi.com/2077-0383/9/8/2376
work_keys_str_mv AT moritzkielkopf temporaltrendsandriskfactorsfordelayedhospitaladmissioninsuspectedstrokepatients
AT thomasmeinel temporaltrendsandriskfactorsfordelayedhospitaladmissioninsuspectedstrokepatients
AT johanneskaesmacher temporaltrendsandriskfactorsfordelayedhospitaladmissioninsuspectedstrokepatients
AT ursfischer temporaltrendsandriskfactorsfordelayedhospitaladmissioninsuspectedstrokepatients
AT marcelarnold temporaltrendsandriskfactorsfordelayedhospitaladmissioninsuspectedstrokepatients
AT mirjamheldner temporaltrendsandriskfactorsfordelayedhospitaladmissioninsuspectedstrokepatients
AT davidseiffge temporaltrendsandriskfactorsfordelayedhospitaladmissioninsuspectedstrokepatients
AT pasqualemordasini temporaltrendsandriskfactorsfordelayedhospitaladmissioninsuspectedstrokepatients
AT tomasdobrocky temporaltrendsandriskfactorsfordelayedhospitaladmissioninsuspectedstrokepatients
AT eikepiechowiak temporaltrendsandriskfactorsfordelayedhospitaladmissioninsuspectedstrokepatients
AT jangralla temporaltrendsandriskfactorsfordelayedhospitaladmissioninsuspectedstrokepatients
AT simonjung temporaltrendsandriskfactorsfordelayedhospitaladmissioninsuspectedstrokepatients
_version_ 1724486266202882048