The impact of fibromyalgia syndrome on obstructive sleep apnea syndrome in terms of pain threshold, daytime symptoms, anxiety, depression, disease severity, and sleep quality: a polysomnographic study

Karaçay, Başak Çiğdem; Şahbaz, Tuğba; Zerman, Nermin; Tuncay, Figen

doi:10.1007/s11325-023-02831-2

Cited by 2 publications

(2 citation statements)

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“…The prevalence of FM in patients with OSAHS was reported in a total of 14 articles ( Meresh et al, 2019 ; Dahan et al, 2006 ; O'Donovan et al, 2006 ; Wahner-Roedler et al, 2007 ; Chung et al, 2014 ; Rosenfeld et al, 2015 ; Terzi and Yılmaz, 2017 ; Yildirim and Alp, 2017 ; Köseoğlu et al, 2017 ; Johnson et al, 2020 ; Sanders et al, 2020 ; Wickwire et al, 2020 ; Altıntop Geçkil and Aydoğan Baykara, 2022 ; Cigdem Karacay et al, 2023 ). Six articles ( Rosenfeld et al, 2015 ; Köseoğlu et al, 2017 ; Terzi and Yılmaz, 2017 ; Yildirim and Alp, 2017 ; Altıntop Geçkil and Aydoğan Baykara, 2022 ; Cigdem Karacay et al, 2023 ) compared sleep monitoring metrics in patients with positive FM and OSAHS to those with negative FM. The AHI scores, minimum SaO 2 level, mean saturation oxygen level, total sleep duration, efficiency, latency, rapid eye movement (REM), N1, N2, N3, and Epworth sleepiness scale scores were among the markers used for sleep monitoring.…”

Section: Resultsmentioning

confidence: 99%

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Fibromyalgia in obstructive sleep apnea-hypopnea syndrome: a systematic review and meta-analysis

He,

Chen,

Huang

et al. 2024

Front. Physiol.

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Introduction: Fibromyalgia (FM) is a common condition in patients with obstructive sleep apnea-hypopnea syndrome (OSAHS). This meta-analysis aimed to evaluate differences in sleep monitoring indicators between patients with OSAHS and positive FM and patients with OSAHS and negative FM and to determine the incidence of FM in patients with OSAHS.Methods: An exhaustive literature review was conducted to analyze the incidence of FM in patients with OSAHS, using online databases, including PubMed, EMBASE, Web of Science, CNKI, and Wanfang, both in English and Chinese. The quality of the included studies was assessed by two researchers using the Newcastle−Ottawa Scale scores. The acquired data were analyzed using Stata 11.0 software. Continuous variables were combined and analyzed using the weighted mean difference as the effect size. Conjoint analyses were performed using random-effects (I2 > 50%) or fixed-effect (I2 ≤ 50%) models based on I2 values.Results: Fourteen studies met the inclusion criteria. This study showed that 21% of patients with OSAHS experienced FM. Subgroup analyses were performed based on race, age, sex, body mass index, and diagnostic criteria for patients with OSAHS. These findings indicate that obese patients with OSAHS have a higher risk of FM, similar to females with OSAHS. Regarding most sleep monitoring indicators, there were no discernible differences between patients with OSAHS with positive FM and those with negative FM. However, patients with positive FM had marginally lower minimum arterial oxygen saturation levels than those with negative FM. The current literature suggests that patients with OSAHS have a high incidence of FM (21%), and FM has little effect on polysomnographic indicators of OSAHS.Systematic Review Registration:https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42024510786, identifier CRD42024510786

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Section: Resultsmentioning

confidence: 99%

“…In general, the incidence of FM is high in patients with OSAHS (21%). Cigdem et al ( Cigdem Karacay et al, 2023 ) found that headache, afternoon fatigue, and morning fatigue were considerably more common in individuals with OSAHS and FM. In addition, patients with OSAHS and FM have low pain thresholds and high pain intensities.…”

Section: Discussionmentioning

confidence: 99%