Ambient Temperature Effect on Acute Myocardial Infarction by Risk Factors: Daily Data From 2000 to 2017, Taiwan.

Autor:	Tseng CN; Department of Thoracic and Cardiovascular Surgery, Chang Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan.; Department of Medicine, Chang Gung University, Taoyuan City, Taiwan.; Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden., Chen DY; Department of Medicine, Chang Gung University, Taoyuan City, Taiwan.; Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan., Chang SH; Department of Public Health, College of Medicine, Chang Gung University, Taoyuan City, Taiwan., Huang WK; Department of Medicine, Chang Gung University, Taoyuan City, Taiwan.; Division of Hematology/Oncology, Chang Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan., Hsieh MJ; Department of Medicine, Chang Gung University, Taoyuan City, Taiwan.; Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan., See LC; Department of Public Health, College of Medicine, Chang Gung University, Taoyuan City, Taiwan.; Biostatistics Core Laboratory, Molecular Medicine Research Center, Chang Gung University, Taoyuan City, Taiwan.; Division of Rheumatology, Allergy and Immunology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan.
Jazyk:	angličtina
Zdroj:	JACC. Asia [JACC Asia] 2023 Mar 14; Vol. 3 (2), pp. 228-238. Date of Electronic Publication: 2023 Mar 14 (Print Publication: 2023).
DOI:	10.1016/j.jacasi.2022.12.002
Abstrakt:	Background: A U-shaped relationship between temperature and acute myocardial infarction (AMI) was observed, but the risk factors were rarely included. Objectives: The authors sought to examine AMI's cold and heat exposure after considering their risk groups. Methods: Daily data on ambient temperature, newly diagnosed AMI, and 6 known risk factors of AMI for the Taiwan population from 2000 to 2017 were created by linking 3 Taiwan national databases. Hierarchical clustering analysis was performed. Poisson regression was performed on the AMI rate with the clusters along with the daily minimum temperature in cold months (November-March) and the daily maximum temperature in hot months (April-October). Results: There were 319,737 patients with new-onset AMI over 109.13 billion person-days, corresponding to the incidence rate of 107.02 per 100,000 person-years (95% CI: 106.64-107.39 person-years). Hierarchical clustering analysis identified 3 distinct clusters (1: age <50 years, 2: age ≥50 years without hypertension, and 3: mainly age ≥50 years with hypertension) with AMI incidence rates of 16.04, 105.13, and 388.17 per 100,000 person-years, respectively. Poisson regression revealed that below 15 °C, cluster 3 had the highest risk of AMI per 1°C reduce in temperature (slope = 1.011) compared with clusters 1 (slope = 0.974) and 2 (slope = 1.009). However, above the 32 °C thresholds, cluster 1 had the highest risk of AMI per 1 °C increase in temperature (slope = 1.036) compared with clusters 2 (slope = 1.02) and 3 (slope = 1.025). Cross validation showed a good fit for the model. Conclusions: People ≥50 years of age with hypertension are more susceptible to cold-related AMI. However, heat-related AMI is more prominent in individuals <50 years of age. Competing Interests: This study was supported by Chang Gung Memorial Hospital (CMRPD1K0353). The funding sources had no role in the design and conduct of the study; the collection, management, analysis, and interpretation of the data; the preparation, review, or approval of the manuscript; or the decision to submit the manuscript for publication. The authors have reported that they have no relationships relevant to the contents of this paper to disclose. (© 2023 The Authors.)
Databáze:	MEDLINE
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