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Regional Disparities in Prehospital Delay of Acute Ischemic Stroke: The Korean Stroke Registry

Authors
 Eung-Joon Lee  ;  Han-Yeong Jeong  ;  Jayoun Kim  ;  Nan Hee Park  ;  Min Kyoung Kang  ;  Dongwhane Lee  ;  Jinkwon Kim  ;  Yo Han Jung  ;  Sungwook Yu  ;  Wook-Joo Kim  ;  Han-Jin Cho  ;  Kyungbok Lee  ;  Tai Hwan Park  ;  Mi Sun Oh  ;  Ji Sung Lee  ;  Joon-Tae Kim  ;  Byung-Woo Yoon  ;  Jong-Moo Park  ;  Hee-Joon Bae  ;  Keun-Hwa Jung 
Citation
 EUROPEAN STROKE JOURNAL, Vol.9(4) : 1063-1073, 2024-12 
Journal Title
EUROPEAN STROKE JOURNAL
ISSN
 2396-9873 
Issue Date
2024-12
MeSH
Aged ; Aged, 80 and over ; Emergency Medical Services / statistics & numerical data ; Female ; Healthcare Disparities / statistics & numerical data ; Humans ; Ischemic Stroke* / epidemiology ; Ischemic Stroke* / therapy ; Male ; Middle Aged ; Registries* ; Republic of Korea / epidemiology ; Risk Factors ; Stroke / epidemiology ; Stroke / therapy ; Time Factors ; Time-to-Treatment* / statistics & numerical data
Keywords
Stroke ; disparity ; ischemic stroke ; prehospital delay ; transient ischemia attack
Abstract
Background: Late hospital arrival keeps patients with stroke from receiving recanalization therapy and is associated with poor outcomes. This study used a nationwide acute stroke registry to investigate the trends and regional disparities in prehospital delay and analyze the significant factors associated with late arrivals.

Methods: Patients with acute ischemic stroke or transient ischemic attack between January 2012 and December 2021 were included. The prehospital delay was identified, and its regional disparity was evaluated using the Gini coefficient for nine administrative regions. Multivariate models were used to identify factors significantly associated with prehospital delays of >4.5 h.

Results: A total of 144,014 patients from 61 hospitals were included. The median prehospital delay was 460 min (interquartile range, 116-1912), and only 36.8% of patients arrived at hospitals within 4.5 h. Long prehospital delays and high regional inequality (Gini coefficient > 0.3) persisted throughout the observation period. After adjusting for confounders, age > 65 years old (adjusted odds ratio [aOR] = 1.23; 95% confidence interval [CI], 1.19-1.27), female sex (aOR = 1.09; 95% CI, 1.05-1.13), hypertension (aOR = 1.12; 95% CI, 1.08-1.16), diabetes mellitus (aOR = 1.38; 95% CI, 1.33-1.43), smoking (aOR = 1.15, 95% CI, 1.11-1.20), premorbid disability (aOR = 1.44; 95% CI, 1.37-1.52), and mild stroke severity (aOR = 1.55; 95% CI, 1.50-1.61) were found to independently predict prehospital delays of >4.5 h.

Conclusion: Prehospital delays were lengthy and had not improved in Korea, and there was a high regional disparity. To overcome these inequalities, a deeper understanding of regional characteristics and further research is warranted to address the vulnerabilities identified.
Files in This Item:
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DOI
10.1177/23969873241253670
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurology (신경과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Jinkwon(김진권) ORCID logo https://orcid.org/0000-0003-0156-9736
An, Ji Yeong(안지영)
Jung, Yo Han(정요한) ORCID logo https://orcid.org/0000-0002-3048-4718
Hyung, Woo Jin(형우진) ORCID logo https://orcid.org/0000-0002-8593-9214
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/204297
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