Literature DB >> 18499815

Factors influencing delay in presentation for acute stroke in an emergency department in Milan, Italy.

A Maestroni1, C Mandelli, D Manganaro, B Zecca, P Rossi, V Monzani, G Torgano.   

Abstract

BACKGROUND AND AIMS: Early treatment is critical for successful intervention in acute stroke. The aim of this study was to describe delays in presentation to hospital and in the emergency department (ED) management of patients with acute stroke and to identify factors influencing these delays in an Italian urban hospital.
METHODS: The present series includes all patients presenting with acute stroke, in whom arrival delay was ascertainable. To describe delays into the ED, the triage-visit delay, visit-computed tomography (CT) delay and visit-CT report delay were registered. Type of stroke, severity of stroke assessed using the modified National Institute of Health Stroke Scale (mNIHSS) scale, level of consciousness, history of previous stroke or previous hospital admission, use of the emergency medical service (EMS), onset of stroke during day or night and admission during working or non-working day were registered for every patient. Univariate and multivariate analysis were performed to evaluate factors influencing early arrival.
RESULTS: Over a one-year period 537 patients with acute stroke were evaluated; 375 patients in whom arrival delay was ascertainable were included in the study. Median arrival delay was 5.4 h (interquartile range (IQR) 2.7-11.6); 104 patients (28%) arrived within 3 h and 198 (53%) within 6 h. Triage-visit delay was 0.3 h (IQR 0.2-0.7), visit-CT scan delay was 1.2 h (IQR 0.8-1.9), visit-CT report delay was 2.7 h (IQR 1.7-4.5). Triage-visit delay and visit-CT delay were shorter for patients presenting within 3 h. The type of stroke was ischaemic in 240 (64%), haemorrhagic in 61 (16%) and transient ischaemic attack in 74 (20%). The median basal mNIHSS score was 5 (IQR 3-10); 64 patients (17%) had an altered level of consciousness, 103 (27%) had had a previous stroke, 223 (59%) had had a previous hospital admittance. In this series 214 patients (57%) arrived with the EMS, 323 (86%) presented with symptoms during the day, 261 (70%) were admitted during working days. Univariate analysis showed a significantly shorter arrival delay in patients calling the EMS (median 4.2 vs 7.2 h; p<0.001) and in patients with a higher basal mNIHSS score (Spearman rho = -0.204; p<0.001) or altered level of consciousness (normal 5.8 h, not alert but arousable 3.8, not alert but arousable with strong stimulation 2.5, totally unresponsive 6.0; p = 0.005). Multivariate analysis showed that use of the EMS and higher basal mNIHSS score were independent variables associated with a shorter arrival delay.
CONCLUSION: A substantial proportion of patients does not arrive at the ED in a suitable time for reperfusion therapy. Patients using the EMS have a shorter arrival delay. Approximately half of the patients with stroke are sufficiently aware of the urgency of this clinical condition to activate the emergency telephone system.

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Year:  2008        PMID: 18499815     DOI: 10.1136/emj.2007.048389

Source DB:  PubMed          Journal:  Emerg Med J        ISSN: 1472-0205            Impact factor:   2.740


  19 in total

1.  Role of Diffusion-weighted Imaging in Acute Stroke Management using Low-field Magnetic Resonance Imaging in Resource-limited Settings.

Authors:  Chinonye K Okorie; Godwin I Ogbole; Mayowa O Owolabi; Olufunmilola Ogun; Abiodun Adeyinka; Adesola Ogunniyi
Journal:  West Afr J Radiol       Date:  2015-11-16

2.  A systems approach towards intra-arterial management of acute ischemic stroke: need for novel outcome measures and a focus on sequence rather than steps.

Authors:  B K Menon; M Goyal
Journal:  Interv Neuroradiol       Date:  2011-10-17       Impact factor: 1.610

3.  Sex Disparities in Ischemic Stroke Care: FL-PR CReSD Study (Florida-Puerto Rico Collaboration to Reduce Stroke Disparities).

Authors:  Negar Asdaghi; Jose G Romano; Kefeng Wang; Maria A Ciliberti-Vargas; Sebastian Koch; Hannah Gardener; Chuanhui Dong; David Z Rose; Salina P Waddy; Mary Robichaux; Enid J Garcia; Juan A Gonzalez-Sanchez; W Scott Burgin; Ralph L Sacco; Tatjana Rundek
Journal:  Stroke       Date:  2016-08-23       Impact factor: 7.914

4.  Stroke-Unit and emergency medical service: a 48-month experience in northern Italy.

Authors:  Massimo Camerlingo; Bruno Mario Cesana; Veaceslav Tudose; Giovanni Simoncini; Oliviero Valoti; Emilio Pozzi; Augusto Zaninelli; Carlo Ferrarese
Journal:  Neurol Sci       Date:  2012-04-01       Impact factor: 3.307

5.  Ethnic disparities trump other risk factors in determining delay to emergency department arrival in acute ischemic stroke.

Authors:  James E Siegler; Amelia K Boehme; Karen C Albright; Sheryl Martin-Schild
Journal:  Ethn Dis       Date:  2013       Impact factor: 1.847

Review 6.  Early identification and delay to treatment in myocardial infarction and stroke: differences and similarities.

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Journal:  Scand J Trauma Resusc Emerg Med       Date:  2010-09-06       Impact factor: 2.953

Review 7.  Prenotification and other factors involved in rapid tPA administration.

Authors:  Jamsheed A Desai; Eric E Smith
Journal:  Curr Atheroscler Rep       Date:  2013-07       Impact factor: 5.113

8.  Pre-hospital Delay after Acute Ischemic Stroke in Central Urban China: Prevalence and Risk Factors.

Authors:  Yanfeng Zhou; Tingting Yang; Yanhong Gong; Wenzhen Li; Yawen Chen; Jing Li; Mengdie Wang; Xiaoxv Yin; Bo Hu; Zuxun Lu
Journal:  Mol Neurobiol       Date:  2016-03-31       Impact factor: 5.590

9.  Stroke awareness decreases prehospital delay after acute ischemic stroke in Korea.

Authors:  Young Seo Kim; Sang-Soon Park; Hee-Joon Bae; A-Hyun Cho; Yong-Jin Cho; Moon-Ku Han; Ji Hoe Heo; Kyusik Kang; Dong-Eog Kim; Hahn Young Kim; Gyeong-Moon Kim; Sun Uk Kwon; Hyung-Min Kwon; Byung-Chul Lee; Kyung Bok Lee; Seung-Hoon Lee; Su-Ho Lee; Yong-Seok Lee; Hyo Suk Nam; Mi-Sun Oh; Jong-Moo Park; Joung-Ho Rha; Kyung-Ho Yu; Byung-Woo Yoon
Journal:  BMC Neurol       Date:  2011-01-06       Impact factor: 2.474

10.  A cross-sectional study of individuals seeking information on transient ischemic attack and stroke symptoms online: a target for intervention?

Authors:  Anthony S Kim; Sharon N Poisson; J Donald Easton; S Claiborne Johnston
Journal:  PLoS One       Date:  2012-10-31       Impact factor: 3.240

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