Exploring AMI Comorbidity Analysis with Air Pollutants for Constructing Readmission Prediction Model

• Main Authors: Chiung-Yi Wu, 吳炯義
• Other Authors: Chien-Lung Chan
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/pt87ap

碩士 === 元智大學 === 資訊管理學系 === 105 === We use National Health Institute Research Database (NHIRD) to study air pollution and acute myocardial infarction (AMI) readmission, all of the hospitalized data from 2000 to 2013 were analyzed by using big data computing techniques. The incidences of AMI were computed by obtaining patients’ admission due to 1st AMI (ICD9-410). We also calculated the readmission incidences due to the same disease recurrence, i.e. 2nd AMI for MI patients within 30 days of patients' first event. In this study AMI readmission comorbidity cause diabetes (OR = 1.258), Essential hypertension (OR = 1.312), Disorders of lipoid metabolism (OR = 1.423). Heart failure (OR = 1.551), Hypertensive heart disease (OR = 3.249) and CCI (OR = 1.13).If the patients with myocardial infarction with the above diseases should pay attention to the body to avoid readmission myocardial infarction occurred. In air pollution study we studied the short-term effects of acute events collocation peak value and valley value. The air pollution exposure was analyzed on the readmission date, and 1 to 6 day before readmission. By age-stratified analysis, the readmission due to 2nd AMI collocation average value for 46-64-year-old patients is associated with PM2.5 and PM10. Then AMI collocation peak value for 46-64-year-old patients is associated with PM2.5 and PM10.When the air pollution concentration have huge change (peak value subtract valley value) total-year-old patients is associated with PM2.5.For 46-64-year-old patients, it is strongly associated with PM10, NO, NOx and O3.