Abstract
Obstructive Sleep Apnea (OSA) corresponds to episodes of complete or partial upper airway obstruction during sleep. The gold standard for diagnosing OSA is polysomnography; however, metabolomics is an innovative and highly sensitive method that seeks to identify and quantify small molecules in biological systems. Identify the metabolites most frequently associated with obstructive sleep apnea in adults. The search for articles was conducted between October 2020 and August 2021, in electronic databases, such as MEDLINE/PubMed, Scielo, Embase, and Cochrane, through the combination of descriptors: obstructive sleep apnea, metabolomic, adult. This systematic review included all cross-sectional studies published, including human patients aged 18 years or older, of both genders who underwent type I or II polysomnography and metabolomics study. The search strategy selected 3697 surveys, and 4 of them were selected to be a part of this systematic review. Based on the analyzed surveys, it was found that all of them were able to diagnose OSA, reaching a sensitivity of 75–97%, and specificity that ranged from 72 to 100%; besides differentiating patients with OSA (severe, moderate, and mild) from simple snorers with a mean sensitivity of 77.2% and specificity of 66.25%. These findings suggest that, in addition to being used as a screening and diagnostic strategy for OSA, metabolomics has the potential to be used for severity stratification and to monitor the disease's progression.
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13 July 2023
A Correction to this paper has been published: https://doi.org/10.1007/s41105-023-00475-z
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This survey is funded by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) under Grant No. 126739/2020-0.
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Salles, C., Freitas, M.C., Souza, A. et al. Metabolomic approach for obstructive sleep apnea in adults: a systematic review. Sleep Biol. Rhythms 21, 265–277 (2023). https://doi.org/10.1007/s41105-023-00445-5
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DOI: https://doi.org/10.1007/s41105-023-00445-5