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Comparisons of Prehospital Delay and Related Factors Between Acute Ischemic Stroke and Acute Myocardial Infarctionopen access

Authors
Yoon, Cindy W.Oh, HoonjiLee, JuneyoungRha, Joung-HoWoo, Seong-IllLee, Won KyungJung, Han-YoungBan, ByeolnimKang, JihoonKim, Beom JoonKim, Won-SeokYoon, Chang-HwanLee, HeeyoungKim, SeongheonKim, Sung HunKang, Eun KyoungHer, Ae-YoungCha, Jae-KwanKim, Dae-HyunKim, Moo-HyunLee, Jang HoonPark, Hun SikKim, KeonyeopKim, Rock BumChoi, Nack-CheonHwang, JinyongPark, Hyun-WoongPark, Ki SooYi, SangHakCho, Jae YoungKim, Nam-HoChoi, Kang-HoKim, YongcheolKim, JuhanHan, Jae-YoungChoi, Jay CholKim, Song-YiChoi, Joon-HyoukKim, JeiJee, Sung JuSohn, Min KyunChoi, Si WanShin, Dong-IckLee, Sang YeubBae, Jang-WhanLee, KunseiBae, Hee-Joon
Issue Date
3-May-2022
Publisher
WILEY
Keywords
acute ischemic stroke; acute myocardial infarction; prehospital delay
Citation
JOURNAL OF THE AMERICAN HEART ASSOCIATION, v.11, no.9
Indexed
SCIE
SCOPUS
Journal Title
JOURNAL OF THE AMERICAN HEART ASSOCIATION
Volume
11
Number
9
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/143068
DOI
10.1161/JAHA.121.023214
ISSN
2047-9980
Abstract
Background Prehospital delay is an important contributor to poor outcomes in both acute ischemic stroke (AIS) and acute myocardial infarction (AMI). We aimed to compare the prehospital delay and related factors between AIS and AMI. Methods and Results We identified patients with AIS and AMI who were admitted to the 11 Korean Regional Cardiocerebrovascular Centers via the emergency room between July 2016 and December 2018. Delayed arrival was defined as a prehospital delay of >3 hours, and the generalized linear mixed-effects model was applied to explore the effects of potential predictors on delayed arrival. This study included 17 895 and 8322 patients with AIS and AMI, respectively. The median value of prehospital delay was 6.05 hours in AIS and 3.00 hours in AMI. The use of emergency medical services was the key determinant of delayed arrival in both groups. Previous history, 1-person household, weekday presentation, and interhospital transfer had higher odds of delayed arrival in both groups. Age and sex had no or minimal effects on delayed arrival in AIS; however, age and female sex were associated with higher odds of delayed arrival in AMI. More severe symptoms had lower odds of delayed arrival in AIS, whereas no significant effect was observed in AMI. Off-hour presentation had higher and prehospital awareness had lower odds of delayed arrival; however, the magnitude of their effects differed quantitatively between AIS and AMI. Conclusions The effects of some nonmodifiable and modifiable factors on prehospital delay differed between AIS and AMI. A differentiated strategy might be required to reduce prehospital delay.
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