Factors Associated with Treatment Result of Acute Coronary Syndrome Patients

Abstract

From the data of the number of patients and the mortality rate of coronary artery disease in the country that have been likely to increase. Including the number of patients with acute ischemic heart disease at Khon Kaen Hospital which has been increasing in every year. Therefore, this research purposes were to study factors relating to the treatment outcomes and making an equation to estimate the probability to predict the treatment outcome of the acute-angina patients at Khon Kaen Hospital. The population was the 5,892 acute-angina patients of heart diseases and being admitted at medicine wards at Khon Kaen Hospital during fiscal years of 2013-2017; divided into stratified sampling by the types of acute angina and genders; calculated the sizes of the samplings by Taro Yamane’s formula resulting 375 samplings; and random selected by Stratified Systematic Sampling systematic selected by patients’ ages. The tools used in this study were the initial assessment for new out-patient and patient records. The statistics used in analyzing data were frequency, percentage, Pearson’s Chi-squared test, and Binary logistic regression analysis. The study showed that the largest group of samples, 215 patients or 57.3 % was Non STEMI; the second Acute STEMI, 125 or 33.3%; and the Unstable angina had 35 patients or 9.3%. The majority patients were male, 234 patients (62.4%). The numbers of patients in the age group of 60 and older was 274 (73.1%).

The analysis of factors relating the treatment outcomes of acute-angina patients were variables of gender, age, level of consciousness, smoking behavior, drinking alcohol history, vital signs, respiration rate, having or not having diabetes, type of medical fee rights, and types of acute angina

Considering all of predictors, the factors effecting the chances to have better treatment outcomes of acute-angina patients were variables of age, level of consciousness, respiration rate, having or not having diabetes, and types of acute angina. All the variables could accurately predict the treatment outcome of acute-angina patients at 88.8 %.