Study on the time distribution of admission for acute myocardial infarction in Beijing from 2007 to 2009. (12th October 2011)

• Record Type: Journal Article
• Authors: Miao, Wang; Jing, Liu; Xueqin, Xie; Zaihua, Wei; Wei, Wang; Jiayi, Sun; Jun, Liu; Yue, Qi; Moning, Guo; Jianpeng, Zheng; Xiuying, Zhang; Dong, Zhao
• Is Part Of: Heart. Volume 97(2011)Supplement 3
• Page Start: A97
• Page End: A98
• Publication Date: 2011-10-12
• Subjects: Heart -- Diseases -- Treatment -- Periodicals; Cardiology -- Periodicals; 616.12
• DOI: 10.1136/heartjnl-2011-300867.289
• Languages: English
• ISSNs: 1355-6037

Abstract

Abstract : Objective: To explore the monthly, 24 solar terms and weekly distribution of admission for acute myocardial infarction (AMI) and whether the case-death of AMI is a different between weekday and weekend in Beijing. Methods: The data of this study came from the "Beijing Acute Myocardial Infarction Surveillance Platform" including 34 589 equal or greater than 25-year-old AMI inpatients whose households were registered in Beijing and hospitalised between 2007 and 2009. The International Classification of Diseases (Tenth Revision) codes used for identifying patients with AMI were I21 and I22. The date of admissions were divided into months and weeks according to the Gregorian calendar, and split into the 24 solar terms based on the traditional Chinese calendar. Results: There were 988 (32 AMI per day) AMI patients hospitalised in Beijing each month between 2007 and 2009. The number of hospitalised AMI had a cyclical variation according to the change of months, 24 solar terms and week. The monthly distribution identified the highest number of admissions in November (40 per day) and the lowest in July (29 per day). The number of admissions was highest from the cold dew to the beginning of beginning of spring and lowest from the end of heat to the beginning of white dew (40 vs 25 per day) among the 24 solar terms. The peak number of admissions occurred on monday and the lowest number on saturday (38 vs 26 per day). The overall case fatalities of AMI inpatients were not significantly different between patients hospitalised during the weekend and during the weekday (10.4% vs 9.9%, p=0.159). Conclusion: The admission time of AMI patients has a cyclical variation according to the month, solar terms and week. The number of AMI admissions would increase significantly after holiday. The patterns of time distribution of admission should be considered in healthcare resource allocation.