Comparisons of Prehospital Delay and Related Factors Between Acute Ischemic Stroke and Acute Myocardial Infarction.
Cindy W YoonHoonji OhJuneyoung LeeJoung-Ho RhaSeong-Ill WooWon Kyung LeeHan-Young JungByeolnim BanJihoon KangBeom Joon KimWon-Seok KimChang-Hwan YoonHee Young LeeSeongheon KimSung Hun KimEun Kyoung KangAe-Young HerJae-Kwan ChaDae-Hyun KimMoo-Hyun KimJang Hoon LeeHun Sik ParkKeonyeop KimRock Beum KimNack-Cheon ChoiJinyong HwangHyun Woong ParkKi Soo ParkSangHak YiJae Young ChoNam-Ho KimKang Ho ChoiByeong-Keuk KimDae Young HyunJae-Young HanJay Chol ChoiSong Yi KimJoon-Hyouk ChoiJei KimSung Ju JeeMin Kyun SohnSi Wan ChoiDong-Ick ShinSang Yeub LeeJang-Whan BaeKun-Sei LeeHee Joon BaePublished in: Journal of the American Heart Association (2022)
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.
Keyphrases
- acute myocardial infarction
- emergency medical
- cardiac arrest
- acute ischemic stroke
- percutaneous coronary intervention
- trauma patients
- left ventricular
- healthcare
- type diabetes
- emergency department
- public health
- blood pressure
- metabolic syndrome
- climate change
- early onset
- health insurance
- atrial fibrillation
- insulin resistance
- glycemic control