Risk Prediction Model Occurrence of Obstructive Sleep Apnea (OSA) Risk in Chronic Obstructive Pulmonary Disease patient. Case Study: Cipto Mangunkusumo Hospital

I. R. Anisa, Titin Siswantining, T. Kamelia, D. Sarwinda

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)

Abstract

The complication occur in Chronic Obstructive Pulmonary Disease (COPD) patient is nocturnal hypoxemia. Obstructive Sleep Apnea (OSA) and COPD can occur at the same time which cause two times uncomfortable while breathing. The purpose of this research is to determine prediction model occurrence OSA risk in COPD patient based on factor affecting the risk of OSA occurring in COPD patients. Data used in this research is primary data from COPD patients who is diagnosed by doctor at RSCM by interviewing them using Berlin questionnaire and physical examination such as measuring the circumference of neck and waist. This study uses non-probability sampling i.e. purposive sampling method. Sample of this research is 111 patients with COPD. This research uses binary logistic regression to predict model occurrence of OSA risk in COPD patients. This study shows that waist circumference and COPD Assessment Test (CAT) 2 questionnaire (COPD patients with severe degree) are significant factor of OSA on COPD patient. In addition, COPD patients with severe degree are 4.39 times greater risk suffer from OSA than mild to moderate COPD patients and each centimetre increase of waist circumference has higher risk of OSA. Accuracy of our model is estimated using classification table with cut point at 0.5 and its accuracy is 73.9%.

Original languageEnglish
Article number012076
JournalJournal of Physics: Conference Series
Volume1108
Issue number1
DOIs
Publication statusPublished - 4 Dec 2018
Event2nd Mathematics, Informatics, Science and Education International Conference, MISEIC 2018 - Surabaya, Indonesia
Duration: 21 Jul 2018 → …

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