INTRODUCTIONPatients with obstructive sleep apnoea (OSA) often present with excessive daytime sleepiness (EDS) as measured by the Epworth Sleepiness Scale (ESS). However, the relationship between EDS and OSA severity as measured by the apnoea-hypopnoea index (AHI) remains inconsistent. We hypothesise that this may be due to the usage and equal weightage of apnoea and hypopnoea events used in determining AHI and that apnoea and hypopnoea load as measured by their total durations may be a better metric to use. We sought to investigate if apnoea or hypopnoea load can display better correlation with ESS.

MATERIALS AND METHODSRetrospective analysis of 821 patients with AHI ≥5, who underwent in-laboratory polysomnogram for suspected OSA from January 2015-December 2015, was performed. Objective factors on polysomnogram were correlated with ESS.

RESULTSESS was correlated with age (r = -0.148, <0.001), number of apnoeas (r = 0.096, = 0.006), apnoea load (r = 0.102, = 0.003), apnoea index (r = 0.075, = 0.032), number of desaturations (r = 0.081, = 0.020), minimum SpO (r = -0.071, = 0.041), time SpO <85% (r = 0.075, = 0.031) and REM sleep duration (r = 0.099, = 0.004). Linear regression analysis found age ( <0.001), apnoea load ( = 0.005), REM ( = 0.021) and stage 1 sleep duration ( = 0.042) as independent factors correlated to ESS. The apnoea load calculated using duration in apnoea correlate with ESS in patients with severe OSA by AHI criteria compared to the mild category.

CONCLUSIONAHI does not correlate with ESS. Younger age, longer apnoea, stage 1 and REM sleep were independently related to higher ESS though the correlations were weak. Apnoea load should be taken into account when determining OSA severity.

Adult ; Age Factors ; Disorders of Excessive Somnolence ; diagnosis ; etiology ; physiopathology ; Female ; Humans ; Male ; Middle Aged ; Polysomnography ; methods ; Retrospective Studies ; Severity of Illness Index ; Singapore ; Sleep Apnea Syndromes ; physiopathology ; Sleep Apnea, Obstructive ; complications ; diagnosis ; physiopathology ; Sleep, REM ; physiology ; Statistics as Topic