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

Cited 6 time in Web of Science Cited 6 time in Scopus
Authors

Yoon, Cindy W.; Oh, Hoonji; Lee, Juneyoung; Rha, Joung-Ho; Woo, Seong-Ill; Lee, Won Kyung; Jung, Han-Young; Ban, Byeolnim; Kang, Jihoon; Kim, Beom Joon; Kim, Won-Seok; Yoon, Chang-Hwan; Lee, Heeyoung; Kim, Seongheon; Kim, Sung Hun; Kang, Eun Kyoung; Her, Ae-Young; Cha, Jae-Kwan; Kim, Dae-Hyun; Kim, Moo-Hyun; Lee, Jang Hoon; Park, Hun Sik; Kim, Keonyeop; Kim, Rock Bum; Choi, Nack-Cheon; Hwang, Jinyong; Park, Hyun-Woong; Park, Ki Soo; Yi, SangHak; Cho, Jae Young; Kim, Nam-Ho; Choi, Kang-Ho; Kim, Yongcheol; Kim, Juhan; Han, Jae-Young; Choi, Jay Chol; Kim, Song-Yi; Choi, Joon-Hyouk; Kim, Jei; Jee, Sung Ju; Sohn, Min Kyun; Choi, Si Wan; Shin, Dong-Ick; Lee, Sang Yeub; Bae, Jang-Whan; Lee, Kunsei; Bae, Hee-Joon

Issue Date
2022-05
Publisher
Wiley-Blackwell
Citation
Journal of the American Heart Association, Vol.11 No.9, p. e023214
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.
ISSN
2047-9980
URI
https://hdl.handle.net/10371/182638
DOI
https://doi.org/10.1161/JAHA.121.023214
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