2022
DOI: 10.3389/fneur.2022.911996
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Predictors of the Efficacy for Daytime Sleepiness in Patients With Obstructive Sleep Apnea With Continual Positive Airway Pressure Therapy: A Meta-Analysis of Randomized Controlled Trials

Abstract: ObjectiveThe main aim of this meta-analysis was to evaluate the predictors of the efficacy of continuous positive airway pressure (CPAP) in ameliorating excessive daytime sleepiness (EDS) in patients with obstructive sleep apnea (OSA).MethodsRandomized controlled trials (RCTs) published between January 1994 and October 2021 were searched in the PubMed, EMBASE, and Cochrane Library databases. The weighted mean differences (WMDs) for the Epworth Sleepiness Scale (ESS) scores, the Multiple Sleep Latency Test (MSL… Show more

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Cited by 10 publications
(3 citation statements)
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“…As Antic et al [ 30 ] already confirmed, indicators for subjective daytime sleepiness, functional status, and sleep-related quality of life, such as the ESS and FOSQ scores, are dose-dependent on CPAP treatment, with greater improvements in more-adherent patients. Regarding a presumable relation of (auto)CPAP adherence and ESS score, our results show an association of (auto)CPAP adherence with a reduction of ESS Score and are thereby in line with the meta-analysis of Li et al [ 35 ]. However, the impact of factors such as age, BMI, baseline ESS, etc.…”
Section: Discussionsupporting
confidence: 92%
“…As Antic et al [ 30 ] already confirmed, indicators for subjective daytime sleepiness, functional status, and sleep-related quality of life, such as the ESS and FOSQ scores, are dose-dependent on CPAP treatment, with greater improvements in more-adherent patients. Regarding a presumable relation of (auto)CPAP adherence and ESS score, our results show an association of (auto)CPAP adherence with a reduction of ESS Score and are thereby in line with the meta-analysis of Li et al [ 35 ]. However, the impact of factors such as age, BMI, baseline ESS, etc.…”
Section: Discussionsupporting
confidence: 92%
“…Third, the population in which normative values should be determined is not clear. Theoretically, this population should include healthy subjects who do not complain of sleepiness, and in whom the main causes of sleepiness (sleep deprivation, depression, obesity, sedative medications, sleep disorders including OSA) have been carefully ruled out, which is rarely the case in studies (Berger et al, 2021;Jaussent et al, 2020;Li et al, 2022). Interestingly, another study in 31 healthy individuals found a greater mean (SD) value of 36.9 (5.4) min, and suggested that even the method of recruitment of subjects (advertisement versus random selection) could influence the MWT results (Banks et al, 2004b;Krahn et al, 2021).…”
Section: Discussionmentioning
confidence: 99%
“…Four groups of patients were defined according to the presence of residual subjective sleepiness (as assessed by the ESS at the time of the MWT) and the efficacy of CPAP treatment (as measured by the residual AHI on pre‐MWT PSG). For residual AHI, we used the dichotomy <15 versus ≥15 events/h, with a residual AHI of ≥15 events/h defining a residual moderate OSA according to current AASM rules, keeping in mind that the acceptable residual AHI under CPAP treatment remains debated (Kapur et al, 2017; Li et al, 2022). Thus, the groups of patients were defined as follows: ENAN (ESS score <11, AHI <15 events/h); ENAX (ESS score <11, AHI ≥15 events/h); EXAN (ESS score ≥11, AHI <15 events/h), and EXAX (ESS score ≥11, AHI ≥15 events/h).…”
Section: Methodsmentioning
confidence: 99%