ArticleSleep & breathing = Schlaf & Atmung2014
Correlation of daytime sleepiness with urine metabolites in patients with obstructive sleep apnea.
Article in Sleep & breathing = Schlaf & Atmung, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
- Molecular Pathology, Oxidative Stress, and Biomarkers in Obstructive Sleep Apnea.International journal of molecular sciences · 2023Review
- Moderate-to-high risk of obstructive sleep apnea with excessive daytime sleepiness is associated with postoperative neurocognitive disorders: a prospective one-year follow-up cohort study.Frontiers in neuroscience · 2023Article
- Excessive Daytime Sleepiness in Obstructive Sleep Apnea. Mechanisms and Clinical Management.Annals of the American Thoracic Society · 2021Review
- Metabolomics, sleepiness, and sleep duration in sleep apnea.Sleep & breathing = Schlaf & Atmung · 2020Review
- A review of the "OMICS" for management of patients with obstructive sleep apnoea.Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale · 2020Review
- A detection dog for obstructive sleep apnea.Sleep & breathing = Schlaf & Atmung · 2019Article
- Article
- Chromatography/Mass Spectrometry-Based Biomarkers in the Field of Obstructive Sleep Apnea.Medicine · 2015Review
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Authors and funding
7 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe apnea-hypopnea index (AHI) is closely related with the severity of daytime sleepiness, but excessive daytime sleepiness (EDS) is not presented on all patients with obstructive sleep apnea (OSA). It is unclear why daytime sleepiness is not always present in OSA patients even if their sleep is disrupted from the perspective of polysomnographic findings. This study aimed to analyze the correlation between sleepiness and urine metabolites of neurotransmitters involved in the arousal system.
methodsOn the basis of AHI in polysomnography, 49 consecutive OSA patients were included. According to their Epworth sleepiness scale (ESS), 23 non-sleepy patients (ESS <11) and 26 sleepy patients (ESS ≥11) were included. Urine samples were collected before and after polysomnography and analyzed by gas chromatography-mass spectrometry with selective ion monitoring. Six metabolites of dopamine, norepinephrine and serotonin were analyzed.
resultsThe dopamine metabolites, homovanillic acid (r = 0.366, P = 0.017) and 3,4-dihydroxyphenylacetic acid (DOPAC; r = 0.584, P < 0.0001), were significantly correlated with ESS after adjusting for age, sex, body mass index, AHI, sleep efficiency and total sleep time. A two-by-two table analysis revealed that the overnight increase in the urine DOPAC was more frequent in sleepy patients while its decrease was more frequent in non-sleepy patients (odds ratio = 3.54, P = 0.032).
conclusionUrine dopamine metabolites may identify sleepy patients with OSA. In particular, the overnight change of urine DOPAC may indicate OSA patients with EDS.
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