Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease (May 2022)

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

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

DOI
https://doi.org/10.1161/JAHA.121.023214
Journal volume & issue
Vol. 11, no. 9

Abstract

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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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