BACKGROUND: The aim of this study was to clarify the relationship between onset of acute myocardial infarction (AMI) and weather conditions, to determine whether days in which AMI onset is likely can be predicted. METHODS AND RESULTS: Of the 929 patients admitted to our hospitals in Kagoshima prefecture with AMI, subjects comprised 611 patients. Days of frequent onset (F-days) were defined as days with > or = 3 patients/day admitted for AMI, with days of non-frequent onset (N-days) defined as days with < 3 patients/day. Meteorological factors were measured, and daily differences in all parameters and intraday temperature differences on the onset day, and 1 and 2 days before onset were calculated. F-days were significantly associated with intraday temperature differences on the onset day (10.3 degrees C vs. 7.9 degrees C, p=0.005), 1 day before onset (10.7 degrees C vs. 7.9 degrees C, p=0.002), and 2 days before onset (11.3 degrees C vs. 7.9 degrees C, p=0.0001). A cutoff intraday temperature difference of > or = 9.4 degrees C on 1 and 2 days before onset was predictive of F-days with 89% sensitivity and 87% specificity. CONCLUSIONS: Intraday temperature differences offer a powerful predictor of F-days. Onset of AMI can be predicted based on weather conditions over the preceding 1-2 days.
BACKGROUND: The aim of this study was to clarify the relationship between onset of acute myocardial infarction (AMI) and weather conditions, to determine whether days in which AMI onset is likely can be predicted. METHODS AND RESULTS: Of the 929 patients admitted to our hospitals in Kagoshima prefecture with AMI, subjects comprised 611 patients. Days of frequent onset (F-days) were defined as days with > or = 3 patients/day admitted for AMI, with days of non-frequent onset (N-days) defined as days with < 3 patients/day. Meteorological factors were measured, and daily differences in all parameters and intraday temperature differences on the onset day, and 1 and 2 days before onset were calculated. F-days were significantly associated with intraday temperature differences on the onset day (10.3 degrees C vs. 7.9 degrees C, p=0.005), 1 day before onset (10.7 degrees C vs. 7.9 degrees C, p=0.002), and 2 days before onset (11.3 degrees C vs. 7.9 degrees C, p=0.0001). A cutoff intraday temperature difference of > or = 9.4 degrees C on 1 and 2 days before onset was predictive of F-days with 89% sensitivity and 87% specificity. CONCLUSIONS: Intraday temperature differences offer a powerful predictor of F-days. Onset of AMI can be predicted based on weather conditions over the preceding 1-2 days.
Authors: Jeffrey A Bakal; Justin A Ezekowitz; Cynthia M Westerhout; Eric Boersma; Paul W Armstrong Journal: Int J Biometeorol Date: 2012-07-19 Impact factor: 3.787
Authors: Mirjam Ravljen; Marjan Bilban; Lučka Kajfež-Bogataj; Tomaž Hovelja; Damjan Vavpotič Journal: Int J Environ Res Public Health Date: 2014-11-12 Impact factor: 3.390