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Background:  Readmission after an acute myocardial infarction is not only common and costly but can also impact patients’ quality of life and mortality. This retrospective observational study was conducted to determine the impact of sociodemographic variables, clinical variables, and hospital readmission among post-myocardial infarction patients in Thailand.  Few, if any, previous studies have investigated the factors predicting readmission rates over variable time periods. We aimed to provide such information to prevent readmission in the future.     Methods:  Between October 1, 2014, to September 30, 2018 a total of 376 post-myocardial infarction patients of Roi-Et hospital were recruited for this study. The criteria of data collection concerned the rate of readmission, gender, comorbidities, anaemia, chronic kidney disease, complication, smoking, and type of myocardial infarction. A measurement period was seven-day, 30-day, six-month, and one-year of readmission. Data were analyzed using percentage, mean, standard deviation, and logistic regression analysis.      Results:  The highest readmission rate at six-month, 30-day, seven-day, and one-year was 52.2%, 30.4%, 10.6%, and 6.8%, respectively. None of the predictors were significant for seven-day and one-year of readmissions. Meanwhile, hypertension comorbidity and anaemia were identified as the significant predictors for early 30-day readmission whereas atrial fibrillation complication, chronic kidney disease, and smoking were the significant predictors for late six-month readmission.      Conclusions:  Multiple factors including HT comorbidity, anaemia, atrial fibrillation, chronic kidney disease, and smoking predict readmission among Thais with post myocardial infarction. This study demonstrated that rates and predictors of readmissions in short-term and long-term periods are different. Therefore, various screening tools and interventions are required.

Factors Predicting Hospital Readmission among Thais with Post Myocardial Infarction