Expert Commentary

Assessment of Gender-Related Differences of Obstructive Sleep Apnea Measured by the Epworth Sleepiness Scale

JoAnn Turner, APRN-BC

SleepMed of South Carolina
Columbia, South Carolina

Assessment of sleepiness may provide valuable information about the health of patients.[1, 2] Numerous studies have documented that sleepiness is associated with cardiovascular disease, metabolic dysfunction, cognitive impairment, and primary sleep/wake disorders.[2, 3] Determination of a patient’s subjective sleepiness can be rapidly assessed in the primary care setting using one of a series of sleepiness questionnaires.[4] A popular patient questionnaire is the Epworth Sleepiness Scale (ESS), a short self-administered questionnaire in which the patient is asked to rate the likelihood of dozing off [5] in a series of passive situations rating each on a scale from 0 (no chance) to 3 (high chance); 8 situations are presented. A final score ≥10 is indicative of excessive sleepiness (ES) suggesting a more thorough follow-up of the patient’s sleep history. The questionnaire can also be a useful indicator of treatment progress when administered throughout the course of patient care. Many variables influence subjective sleepiness [6, 7] though the relationship to gender is less well-understood. Certainly, underlying etiologies—eg, obstructive sleep apnea (OSA), for example—are critical determinants of ES. A good sleep history tailored to the patient’s signs and symptoms can reveal levels of subjective sleepiness. A recent study conducted in part by JoAnn Turner, NP at SleepMed in Columbia, South Carolina analyzed ESS scores from patients with different sleep disorders. She observed significantly greater ESS scores in women with sleep-disordered breathing (SDB) when compared with men. Insight into the gender-related differences in sleepiness severity holds promise for improved recognition, diagnosis and treatment of patients with SDB such as OSA.[8, 9] When utilized as a red flag for potentially serious primary sleep disorders or as a surrogate marker for monitoring treatment success, patient self-reports of sleepiness can help the clinician formulate and revise a treatment plan as needed.
 

References

  1. Doghramji, P.P., Recognizing sleep disorders in a primary care setting. J Clin Psychiatry, 2004. 65 Suppl 16: p. 23-6.
  2. Schwartz, J.R., et al., Recognition and management of excessive sleepiness in the primary care setting. Prim Care Companion J Clin Psychiatry, 2009. 11(5): p. 197-204.
  3. Dauvilliers, Y., Differential diagnosis in hypersomnia. Curr Neurol Neurosci Rep, 2006. 6(2): p. 156-62.
  4. Kessler, R. and D.O. Rodenstein, Daytime somnolence. Basic concepts, assessment tools and clinical applications. Monaldi Arch Chest Dis, 2001. 56(5): p. 400-12.
  5. Johns, M.W., A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep, 1991. 14(6): p. 540-5.
  6. King, A.C., G. Belenky, and H.P. Van Dongen, Performance impairment consequent to sleep loss: determinants of resistance and susceptibility. Curr Opin Pulm Med, 2009.
  7. Van Dongen, H.P., K.M. Vitellaro, and D.F. Dinges, Individual differences in adult human sleep and wakefulness: Leitmotif for a research agenda. Sleep, 2005. 28(4): p. 479-96.\
  8. Chervin, R.D. and M.S. Aldrich, The Epworth Sleepiness Scale may not reflect objective measures of sleepiness or sleep apnea. Neurology, 1999. 52(1): p. 125-31.
  9. Weaver, E.M., V. Kapur, and B. Yueh, Polysomnography vs self-reported measures in patients with sleep apnea. Arch Otolaryngol Head Neck Surg, 2004. 130(4): p. 453-8.


 

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