Study Identifies Key Sleep Factors Predicting Success of Sleep Apnea Surgery

Obstructive sleep apnea is marked by repeated airway blockages during sleep, resulting in low oxygen levels and impaired sleep quality, which can exacerbate chronic health issues.

Professor Lee Dong-yeon from Soon Chun Hyang University Hospital in Seoul announced on Tuesday that his research team identified key indicators that may predict the effectiveness of surgery for OSA patients. The study examined the relationship between preoperative sleep study findings and drug-induced sleep endoscopy with postoperative outcomes.

The analysis involved 56 adult patients with obstructive sleep apnea who underwent both pre- and postoperative polysomnography and drug-induced sleep endoscopy. Patients whose apnea-hypopnea index (AHI) decreased by 20 or more events per hour post-surgery were classified as the “improved group,” while those with an increase of 20 or more events were placed in the “worsened group.”

The improved group exhibited a higher frequency of apnea and hypopnea events before surgery, larger tonsil size, more deep sleep during non-REM stages, and fewer awakenings. No significant differences in airway obstruction patterns were observed during the sleep endoscopy.

Polysomnography results revealed that patients with better surgical outcomes had increased deep sleep and reduced awakenings, with respiratory abnormalities predominantly occurring during non-REM sleep.

Further multivariate analysis confirmed that a greater proportion of deep sleep and fewer sleep-time awakenings correlate with more favorable surgical results. Professor Lee stated, "This study analyzed commonly used diagnostic tools—polysomnography and sleep endoscopy—to determine which patients benefit most from sleep apnea surgery. While sleep endoscopy is vital for selecting the appropriate surgical method, it was not particularly useful for predicting postoperative outcomes. In contrast, patients with a higher proportion of deep sleep and fewer awakenings tended to fare better. These findings could improve candidate prioritization and treatment strategies moving forward."