Investigate the relationship between obstructive sleep apnea and cardiac arrhythmia after CABG surgery

Abstract

Background and objective Heart rhythm disorder is one of the most common problems after coronary artery bypass graft surgery. Various factors, such as the history of sleep apnoea before the operation, may aggravate the occurrence of this disorder. The present study was conducted to determine the relationship between sleep apnoea before surgery and heart rhythm disorder after surgery in patients undergoing coronary Artery Bypass Grafting in 2019. Methods This analytical cross-sectional study was conducted on 192 patients who were selected by sequential sampling. The research tool included demographic information, a checklist of heart rhythm disorders, and the Berlin sleep apnoea questionnaire. Descriptive statistics and the Chi-square test, Fisher's exact test, Mann–Whitney’s U-test, and logistic regression were used to analyze the data. Results A total of 71.35% of the samples were male, and the mean age of the participants was 57.8 ± 7.5 years. Also, 46.0% of the samples had sleep pane and 21.35% had rhythm disorder. The most frequent heart rhythm disorder in patients with obstructive sleep apnoea was atrial fibrillation. There was a significant relationship between the occurrence of rhythm disorder and a history of smoking (P = 0.021), and the regression model showed that a history of smoking is the only variable related to the occurrence of rhythm disorder after coronary Artery Bypass Grafting (P = 0.005, CI 95%: 6.566–1.386, OR = 3.017). Conclusions The results showed that there is no statistically significant relationship between sleep apnea and rhythm disorder after coronary artery bypass surgery.

Bidirectional Two-Sample Mendelian Randomization Study of Association between Smoking Initiation and Atrial Fibrillation

“…A new and more effective correction method may solve the existing problems. Thirdly, they did not solely examine the relationship between smoking initiation and atrial fibrillation but conducted a comprehensive analysis of various risk factors, including age, gender, smoking, alcohol consumption, and medication 29 , 30 . While appropriate measures were taken to minimize correlation, it may still exist.…”