Your browser doesn't support javascript.
loading
Potential Diagnostic and Monitoring Biomarkers of Obstructive Sleep Apnea-Umbrella Review of Meta-Analyses.
Fiedorczuk, Piotr; Polecka, Agnieszka; Walasek, Marzena; Olszewska, Ewa.
Afiliação
  • Fiedorczuk P; Doctoral School of the Medical, University of Bialystok, 15-089 Bialystok, Poland.
  • Polecka A; Doctoral School of the Medical, University of Bialystok, 15-089 Bialystok, Poland.
  • Walasek M; Department of Otolaryngology, Medical University of Bialystok, 15-276 Bialystok, Poland.
  • Olszewska E; Department of Otolaryngology, Medical University of Bialystok, 15-276 Bialystok, Poland.
J Clin Med ; 12(1)2022 Dec 21.
Article em En | MEDLINE | ID: mdl-36614858
ABSTRACT
Obstructive sleep apnea (OSA) is a prevalent, underdiagnosed disease that imposes a significant impact on the health and wellbeing of patients and a financial burden on individuals, their families, and society. Development of new methods of testing other than an overnight sleep study, such as measurement of serum or plasma biomarkers, may provide an easier diagnostic process to identify patients with OSA and allow earlier initiation of treatment, which might prevent serious comorbidities. We conducted a systematic review and quality assessment of available meta-analyses regarding potential diagnostic and monitoring biomarkers of obstructive sleep apnea. A total of 14 sets of candidate biomarkers displayed differences in levels or concentrations in OSA patients compared to non-OSA controls, and decreased after OSA treatment CRP, IL-6, TNF-α, Il-8, HCY, ICAM-1, VCAM-1, VEGF, TC, LDLc, HDLc, TG, leptin, MDA, ALT, AST, IGF-1, adiponectin, and cortisol. This review summarizes the evidence for OSA-associated potential biomarkers and demonstrates that the quality of available studies, as measured by AMSTAR2, is often low and associated with a high risk of bias.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Systematic_reviews Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Systematic_reviews Idioma: En Ano de publicação: 2022 Tipo de documento: Article