Weather Impact on Acute Myocardial Infarction Hospital Admissions With a New Model for Prediction: A Nationwide Study

• DOI: 10.3389/fcvm.2021.725419
• Publication Date: 2021-12-14T10:41:21Z
• Authors: Chen-Yu Li; Po-Jui Wu; Chi-Jen Chang; Chien-Ho Lee; Wen-Jung Chung; Tien-Yu Chen; Chien-Hao Tseng; Chia-Chen Wu; Cheng-I Cheng
• Keywords: Generalized additive model

Introduction: Cardiovascular disease is one of the leading causes mortality worldwide. Acute myocardial infarction (AMI) associated with weather change. The study aimed to investigate if change was among risk factors coronary artery influence AMI occurrence in Taiwan and generate a model predict probabilities specific clinical conditions. Method: This observational utilized National Health Insurance Research Database daily reports from Central Weather Bureau evaluate discharge records patients diagnosed various hospitals between January 1, 2008 December 31, 2011. Generalized additive models (GAMs) were used estimate effective parameters on trend incidence rate respect health time-series data build for predicting probabilities. Results: A total 40,328 discharges listed. minimum temperature, maximum wind speed, antiplatelet therapy negatively related incidence; however, drop 1° when air temperature below 15°C an increase 1.6% incidence. By using meaningful including medical factors, estimated GAM built. showed adequate correlation both internal external validation. Conclusion: An colder has been evidenced study, but speed remains uncertain. Our analysis demonstrated that novel can onset rates