Association between various breathing indexes during sleep and the Epworth Sleepiness Scale score in adults

Hsieh, Pei-Shan; Hwang, Sheng-Wei; Hwang, Shang-Rung; Hwang, Juen-Haur

doi:10.1097/md.0000000000032017

Cited by 2 publications

(1 citation statement)

References 23 publications

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“…In addition, Nguyen et al constructed a Bland–Altman plot showing the mean ESS scores against the difference in the two scores and it suggested low test–retest reliability of ESS specifically in a population being investigated for OSA. A similar study was conducted by Taylor et al but, rather than 2, they tracked 3 different Epworth scores per person from general practitioner ESS, overnight oximetry ESS, and sleep specialist ESS and they observed a poor test–retest as well ( 52 ), further supporting the conclusions drawn by Nguyen et al Another study observed low test–retest reliability even when the ESS test is repeatedly administered on the same day ( 53 ).…”

Section: Discussionsupporting

confidence: 57%

Revealing inconsistencies between Epworth scores and apnea-hypopnea index when evaluating obstructive sleep apnea severity: a clinical retrospective chart review

Amiri,

Bracko,

Nahouraii

2024

Front. Neurol.

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IntroductionA common practice in clinical settings is the use of the Epworth Sleepiness Scale (ESS) and apnea-hypopnea index (AHI) to demonstrate the severity of obstructive sleep apnea (OSA). However, several instances were noted where there were discrepancies in the reported severity between Epworth scores and AHI in our patient sample, prompting an investigation into whether OSA severity as demonstrated by AHI or predicted by ESS quantification of sleepiness is primarily responsible for inconsistencies.MethodsDiscrepancies were examined between Epworth scores and AHI by categorizing patients into two categories of inconsistency: individuals with either ESS < 10 and AHI ≥ 15 events/h or ESS ≥ 10 and AHI < 15 events/h. The potential influence of sex on these categories was addressed by assessing whether a significant difference was present between mean Epworth scores and AHI values for men and women in the sample. We investigated BMI both by itself as its own respective variable and with respect to the sex of the individuals, along with a consideration into the role of anxiety. Furthermore, we tested anxiety with respect to sex.ResultsIn the first category of inconsistency the average ESS of 5.27 ± 0.33 suggests a normal level of daytime sleepiness. However, this contrasts with the average AHI of 32.26 ± 1.82 events/h which is indicative of severe OSA. In the second category the average ESS of 14.29 ± 0.47 suggests severe daytime sleepiness, contradicting the average AHI of 9.16 ± 0.44 events/h which only indicates mild OSA. Sex, BMI (both as a variable by itself and with respect to sex), and anxiety (both as a variable by itself and with respect to sex) contributed to observed inconsistencies.ConclusionThe findings of our study substantiate our hypothesis that Epworth scores should be de-emphasized in the assessment of OSA and a greater importance should be placed on measures like AHI. While Epworth scores offer insights into patients’ daytime sleepiness levels and the perceived severity of their OSA, the inconsistencies highlighted in our results when compared to AHI-based OSA severity underscore their potential inaccuracy. Caution is advised when utilizing Epworth scores for evaluating OSA severity in clinical settings.

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Section: Discussionsupporting

confidence: 57%