Meteorological Factors And Incidence Of Acute Myocardial Infarction (AMI) Correlation Studies In Handan City

Objective: This study was the first to investigate the influence of meteorological factors on AMI incidence in Handan City.To explore the correlation between meteorological factors and AMI incidence,and to study the hysteretic and cumulative effects of related meteorological factors on AMI incidence.Methods: In this study,hospitalized cases of AMI from January 1,2018 to December 31,2020 were collected,and meteorological data within the study area were obtained from Handan Meteorological Bureau.The time description map was drawn,and the fluctuations of meteorological factors and the number of hospitalized cases were analyzed and compared.Spearman grade correlation was used to analyze the correlation between meteorological factors and the number of hospitalized cases and the degree of correlation.The distributed hysteresis nonlinear model was used to evaluate the cumulative hysteresis effects of related meteorological factors on AMI incidence,and the cumulative hysteresis effects of extreme weather with the most relevant meteorological factors were analyzed,and the effects of different hysteresis periods were compared.Results: 1.2992 AMI patients eligible for inclusion in this study were analyzed,including 2083 males(69.61%)and 909females(30.38%),with a male-to-female ratio of 2.29: 1 and an average age of(64.19±12.37)years.The data suggest that the incidence is higher in men than in women.Among the age groups,the 60～ age group had the highest proportion of hospitalized AMI cases.2.The mean temperature,maximum temperature and minimum temperature were significantly negatively correlated with the number of hospitalized AMI cases(r<0,P<0.01),and the mean air pressure,maximum air pressure and minimum air pressure were significantly positively correlated with the number of hospitalized AMI cases(r>0,P<0.01).3.When the average temperature was-7～16.5℃,the highest temperature was-3～22.5℃,and the lowest temperature was-12～-5℃,the cumulative RR value and 95%confidence interval were both greater than 1,suggesting that low temperature had a harmful effect on the incidence of AMI and could increase the number of hospitalized cases.The average pressure was1009.5～1024 h Pa,the highest pressure was 1012～1027h Pa,and the lowest pressure was 1006～1019 h Pa.The cumulative RR value and95% confidence interval were both greater than 1,suggesting that high pressure had a harmful effect on the incidence of AMI and could increase the number of hospitalized cases.The extreme temperature effect in the average temperature was analyzed.When the average temperature was-4℃,the harm effect on AMI appeared on the 4th day lag(RR value was greater than 1),and the RR value was 1.384(95%CI:0.885-0.994),one to last until the 7th day of lag,and the harmful effect of-4℃ on AMI appeared again on the 14 th day,with an RR of 1.052(95%CI: 1.004-1.103)until the 17 th day of lag,with an RR of 1.058(95%CI: 1.005-1.113).The mean temperature was-2℃,the harmful effect on AMI appeared on the4 th day of lag,and the RR value was 1.005(95%CI: 1.003-1.108).The harmful effect on AMI appeared again on the 8th day of lag,and the RR value was 1.047(95%CI: 1.003-1.108).1.001-1.095)until the17 th day of lag,with an RR of 1.051(95%CI: 1.005-1.099).When the average temperature was 30℃,the protective effect on AMI appeared on the 6th day of lag(RR value was less than 1),and the RR value was 0.957(95%CI: 0.917-0.999),until it reached the minimum on the 10 th day of lag(RR value was0.943(95%CI:0.898-0.991)and then increased to the 13 th day of lag,with an RR of 0.952(95%CI: 0.909-0.996).When the average temperature is 32℃,the change trend of the lag days of the protection effect is the same as that at 30℃.Combined with different lag time effects,the harmful effect of average temperature on the onset of AMI does not occur on the same day,but exists a lag time of 5～7 days and 13～17 days,and the range of average temperature with harmful effect is-7～16.5℃.When the temperature is higher than 16.5℃,it has a protective effect on the onset of AMI.Conclusions: 1.There was a significant negative correlation between temperature and the number of hospitalized patients with AMI.There was a significant positive correlation between air pressure and the number of AMI inpatients.2.Low temperature and high pressure have harmful effect on the incidence of AMI,which can increase the number of patients hospitalized with AMI.3.Low temperature has hysteretic effect and cumulative effect on AMI incidence.