Identification of factor affecting atrial fibrillation in a patient with risk of obstructive sleep apnea at Rumah Sakit dr.Cipto Mangunkusumo using decision tree method

Abstract

Obstructive Sleep Apnea (OSA) have a higher prevalence in Asia population. OSA have associated with Atrial Fibrillation (AF) from hypoxemia condition even though the association between OSA and AF could be contributed to risk factor AF among OSA patient. AF has four times the higher prevalence in a patient with OSA than without OSA (4.8% vs. 0.9%). Although, the study about factor affecting AF in OSA patient has not been widely practiced, especially in Indonesia. This study aims to determine the factors affecting AF in patients with risk of OSA. The data used in this study is primary data of patients with risk of OSA at RSCM based on interviews with the Berlin questionnaire. The sample size are145 patients with risk of OSA based on the Berlin questionnaire using a technique of non-probability sampling. The number of patients diagnosed AF is 45 patients (31.03%). The decision tree used is CHAID and CART to determine which factors significantly affect AF and classify based on the factor. Dependent variables in this study are AF, while independent variables are age, sex, body mass index (BMI), waist circumference (WC), neck circumference (NC), blood pressure (BP), smoking history, history of consuming alcoholic, history of heart failure, history of coronary heart disease (CHD), and history of stroke. The results of this study, which factor significantly affect AF in a patient with risk of OSA using CHAID are age, BP, WC, and NC with the accuracy rate is 71.7%, although using CART are age, BP, WC, BMI, CHD, and smoking with the accuracy rate is 77.2%.