Objective: This study evaluates the role of hypothyroidism in obstructive sleep apnea (OSA) by comparing the OSA indices in hypothyroid OSA (OSA-HYPOT) with euthyroid OSA (OSA-EUTHY) patients.
Methods: After literature search in several electronic databases and selection of studies by following eligibility criteria, meta-analyses of mean differences/standardized mean differences were performed to compare OSA indices at the time of diagnosis between OSA-HYPOT and OSA-EUTHY patients. Metaregression analyses were carried out to examine the relationship between age, BMI, sample size, and gender vs OSA indices in OSA-HYPOT patients.
Results: Twelve studies and five case reports recruiting 192 OSA-HYPOT and 1423 OSA-EUTHY patients were included in the meta-analysis. Prevalence (mean ± SD) of clinical hypothyroidism in OSA patients was 8.12 ± 7.13% and that of subclinical hypothyroidism 11.07 ± 8.49%. Apnea-Hypopnea Index, time of sleep with oxygen desaturation <90%, and Epworth Sleepiness Scale were significantly higher in the OSA-HYPOT patients at diagnosis, whereas there was no significant difference in arousal index, respiratory disturbance index and sleeping efficiency between OSA-HYPOT and OSA-EUTHY patients. Body mass index was positively associated with Apnea-Hypopnea Index in OSA-HYPOT patients.
Conclusions: Hypothyroidism is found to be associated with severity of OSA. However, obesity can be a confounder in the outcomes observed herein.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1185/03007995.2016.1157461 | DOI Listing |
Sleep
January 2025
Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, China.
Study Objectives: Multilevel upper airway surgery is effective for some patients with obstructive sleep apnea (OSA), but prediction the response to surgery remains a challenge. The underlying endotypes of OSA include upper airway collapsibility, muscle compensation, loop gain, and the arousal threshold. This study aimed to explore the effect of surgery on polysomnography (PSG)-derived OSA endotypes and establish a surgical response prediction model.
View Article and Find Full Text PDFDiabetes Metab Syndr Obes
January 2025
Department of Ear, Nose and Throat, Beijing Hepingli Hospital, Beijing, People's Republic of China.
Objective: To evaluate the application value of STOP-Bang questionnaire (SBQ) in predicting abnormal metabolites.
Methods: Totally 121 patients were included into the study and filled the questionnaires, and their clinical data were collected at the same time. These patients were grouped according to the questionnaire scores.
Laryngoscope Investig Otolaryngol
February 2025
Objectives: Hypoglossal nerve stimulation (HGNS) is a promising surgical option for patients with obstructive sleep apnea (OSA) who are intolerant of continuous positive airway pressure therapy (CPAP). Efficacy studies for HGNS stimulation largely focus on the apnea-hypopnea index and/or oxygen desaturation index. This study's objective was to show the physiological effects of HGNS stimulation on upper airway patency, airflow, and treatment effect during polysomnography (PSG) testing.
View Article and Find Full Text PDFJ Voice
January 2025
Department of Otolaryngology-Head and Neck Surgery, American University of Beirut Medical Center, Beirut, Lebanon.
Objective: To investigate the risk of obstructive sleep apnea (OSA) in patients with muscle tension dysphonia (MTD) in comparison to subjects with no dysphonia.
Study Design: Prospective cohort study.
Methods: Patients who were diagnosed with MTD at a tertiary referral center between October 2022 and October 2023 were invited to participate in this study, alongside a healthy control group matched by age and gender, with no history of dysphonia.
Background: Polysomnography (PSG) is resource-intensive but remains the gold standard for diagnosing Obstructive Sleep Apnea (OSA). We aimed to develop a screening tool to better allocate resources by identifying individuals at higher risk for OSA, overcoming limitations of current tools that may under-diagnose based on self-reported symptoms.
Methods: A total of 884 patients (490 diagnosed with OSA) were included, which was divided into the training, validation, and test sets.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!