Influence of weather on daily hospital admissions for acute myocardial infarction (from the Korea Acute Myocardial Infarction Registry)

Lee, Jang Hoon; Chae, Shung Chull; Yang, Dong Heon; Park, Hun Sik; Cho, Yongkeun; Jun, Jae Bok; Park, Wee-Hyun; Kam, Sang-Kyu; Lee, Won Kee; Kim, Young Jo; Kim, Kee Sik; Hur, Seung‐Ho; Jeong, Myung Ho

doi:10.1016/j.ijcard.2009.03.122

Cited by 56 publications

(51 citation statements)

References 30 publications

(49 reference statements)

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“…The results of this retrospective investigation in a European country with a temperate climate confirm some previous observations at different latitudes, [3][4][5] i.e. that the frequency of AMI diagnosed in the ED displays a peak during the darker period of the year, which coincides with autumn (10.3 hours per day) and winter (10.3 hours per day) in our country.…”

Section: Discussionsupporting

confidence: 89%

“…More recent studies confirmed these findings, observing that the frequency of AMI displays a winter peak and summer trough in Korea, 3 whereas another large retrospective cohort study using the US nationwide inpatient sample database also showed that the number of hospitalizations for AMI was larger in winter months compared with summer. 4 Interestingly, a recent retrospective analysis of monthly cause-specific mortality data obtained from the US Centers for Diseases Prevention and Control also revealed that cold temperature in winter was a significant trigger of deaths for cardiovascular disease.…”

Section: Introductionmentioning

confidence: 85%

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Seasonal variation in the frequency of myocardial infarction diagnosed in a large emergency department of a European country with a temperate climate

Lippi

Mattiuzzi²,

Cervellin

2015

Emerg Care J

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Previous studies at different latitudes showed that acute myocardial infarction (AMI) exhibits a seasonal variation, with higher frequency in spring and winter. We conducted a retrospective analysis to verify whether the frequency of AMI cases diagnosed in the emergency department (ED) may follow a seasonal pattern in a European country with a temperate climate. A retrospective analysis was performed in the hospital database of the University Hospital of Parma (northwestern Italy), to retrieve the total number of AMI cases diagnosed in the ED during the entire year 2010. The search for AMI cases was conducted using both ICD-9 codes and related diagnostic terms. The seasonality was defined according to the typical equinoxes and solstices at the latitude of the study. A total of 83,919 patients visited the ED of the University Hospital of Parma during the year 2010, 502 (0.6%) of whom with a final diagnosis of AMI (mean age, 73±14 years; 188 women and 314 men). The largest frequency of AMIs was observed in autumn (n=148; 29%), followed by winter (n=136, 27%), whereas the lowest frequencies were recorded in spring (n=110; 22%) and summer (n=108; 22%). The difference in frequency distribution of AMI cases across the four seasons of the year was found to be statistically significant (P<0.001), and this trend was independent from sex and age. Compared to the summer period (i.e., the season with the lowest frequency of AMI cases), the relative risk (RR) for AMI was significantly higher in autumn (1.37; 95% CI, 1.15-1.63; P<0.001) and winter (1.26; 95% CI, 1.05-1.51; P=0.013), but not in spring (1.02; 95% CI, 0.83-1.24; P=0.857). Compared to the spring period, the RR for AMI was found also to be significantly higher in autumn (1.34; 95% CI, 1.13-1.60; P<0.001) and winter (1.24; 95% CI, 1.03-1.48; P=0.021).The results of this retrospective investigation in a European country with a temperate climate confirm that the frequency of AMI diagnosed in the ED displays a peak during the darker period of the year.

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Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 85%

Seasonal variation in the frequency of myocardial infarction diagnosed in a large emergency department of a European country with a temperate climate

Lippi

Mattiuzzi²,

Cervellin

2015

Emerg Care J

View full text Add to dashboard Cite

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“…Similarly, several authors from Slovenia [12] have also confirmed a negative correlation between the average daily temperature and the incidence of the AMI in the context of the acute coronary syndrome among the entire population as well as among the elderly. Considering the seasonality and AMI morbidity, some studies published in Korea, Spain and the U.S. have reported an increased morbidity from the AMI during the winter among adults [17][18][19]. However, only the study from Korea [17] investigated association adjusted for the relative humidity, wind speed, sunshine duration and a thermohydrological index.…”

Section: Discussionmentioning

confidence: 99%

“…Considering the seasonality and AMI morbidity, some studies published in Korea, Spain and the U.S. have reported an increased morbidity from the AMI during the winter among adults [17][18][19]. However, only the study from Korea [17] investigated association adjusted for the relative humidity, wind speed, sunshine duration and a thermohydrological index. On the other hand, the study done in Copenhagen also reported statistically significant short-term increased risk of the AMI at lower temperatures among adults but adjusted this association for the air pollution [20].…”

Section: Discussionmentioning

confidence: 99%

Impact of climate conditions on hospital admissions for subcategories of cardiovascular diseases

Bijelović

Dragić

Bijelović

et al. 2017

Med Pr

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Background: The aim of this study has been to examine the association between climate conditions (CC) and hospital admissions for the subcategories of cardiovascular diseases (CVD), according to patients' age. Material and Methods: From January 2010 through December 2011, the daily number of hospital admissions for angina pectoris (AP), essential hypertension (EH), acute myocardial infarction (AMI) and ischemic heart diseases (IHD) for adults (19-64 years old) and the elderly (≥ 65 years old), as well as for the CC (N = 728 days) was collected for multivariate Poisson regression analysis, confounding with season and weekends. The results were expressed by using the relative risk with the corresponding 95% confidence interval. Results: The risk for the AMI among the adults and the elderly is significantly higher for 41.8% and 38.9%, respectively on the days with lower ambient temperature and lesser for 32.7% and 29.8%, respectively on the days with lower air pressure values. The risk for the IHD among the elderly is significantly higher on the days with lower ambient temperature and lower relative humidity for 50.6% and 37.4%, respectively. Conclusions: Our findings explain how the CC and subcategories of CVD are associated, which could be used for adequate public awareness of the risk for hospitalization due to climate conditions. Med Pr 2017;68(2): [189][190][191][192][193][194][195][196][197]

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“…Joo(2014) . Lee et al(2010) A Construction of Geographical Distance-based Air Quality Dataset Using Hospital Location Information…”

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confidence: 99%

A Construction of Geographical Distance-based Air Quality Dataset Using Hospital Location Information

Kim¹,

Ryu²

2016

Journal of the Korean Society of Surveying, Geodesy, Photogramm

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As of late, air quality information has been actively gathered and investigated in order to find possible environmental risk factors that may affect the onset of cardiovascular disease. Nevertheless, existing studies are limited in the detailed analysis because they take advantage of the air quality information of the macro statistics divided into administrative districts. This paper proposes the construction of distance-based air quality dataset using a domestic hospital's geographical location information as a reliable data gathering step for a more detailed analysis of environmental risk factors. For the construction of the dataset, air quality information was obtained by utilizing the geographical location of a hospital-in which a patient with cardiovascular disease had been admitted-and then matching the hospital with a meteorological and air pollution station in its vicinity. An air quality acquisition system based on GMap.net was devised for the purpose of data gathering and visualization. The reliability of the experiment was confirmed by evaluating the matching rate and error of air quality values between the acquired dataset with existing area-based air quality datasets from matched distances. Therefore, this dataset, which considers geographical information, can be utilized in multidisciplinary research for the discovery of environmental risk factors that can affect not only cardiovascular diseases but also potentially other epidemic diseases. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http:// creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Influence of weather on daily hospital admissions for acute myocardial infarction (from the Korea Acute Myocardial Infarction Registry)

Cited by 56 publications

References 30 publications

Seasonal variation in the frequency of myocardial infarction diagnosed in a large emergency department of a European country with a temperate climate

Seasonal variation in the frequency of myocardial infarction diagnosed in a large emergency department of a European country with a temperate climate

Impact of climate conditions on hospital admissions for subcategories of cardiovascular diseases

A Construction of Geographical Distance-based Air Quality Dataset Using Hospital Location Information

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