As the field of sleep disorders medicine continues to mature, appropriate diagnostic techniques are becoming properly defined and standardized. This article focuses principally upon diagnostic testing for sleep apnea, although other sleep disorders are discussed briefly. When interpreting a polysomnogram, one must consider a number of complex variables. A critical discussion of the methods for adequately measuring these variables is provided together with guidelines for appropriate interpretation.
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J Infect Dev Ctries
December 2024
Division of Pulmonary and Critical Care Medicine, Department of Medicine, Faculty of Medicine, Thammasat University, Pathumthani 12120, Thailand.
Introduction: Coronavirus disease 2019 (COVID-19) is associated with long-term symptoms, but the spectrum of these symptoms remains unclear. We aimed to identify the prevalence and factors associated with persistent symptoms in patients at the post-COVID-19 outpatient clinic.
Methodology: This cross-sectional, observational study included hospitalized severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infected patients followed-up at a post-COVID-19 clinic between September 2021 and January 2022.
BMC Endocr Disord
January 2025
Department of Respiratory and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Background: Menopause is a significant phase in women's health, in which the incidence of obstructive sleep apnea (OSA) is significantly increased. Body fat distribution changes with age and hormone levels in postmenopausal women, but the extent to which changes in body fat distribution affect the occurrence of OSA is unclear.
Methods: This research performed a cross-sectional analysis utilizing data from the 2015-2016 National Health and Nutrition Examination Survey (NHANES).
NPJ Digit Med
January 2025
Graduate School of Data Science, Seoul National University, Seoul, Republic of Korea.
Polysomnography (PSG) is crucial for diagnosing sleep disorders, but manual scoring of PSG is time-consuming and subjective, leading to high variability. While machine-learning models have improved PSG scoring, their clinical use is hindered by the 'black-box' nature. In this study, we present SleepXViT, an automatic sleep staging system using Vision Transformer (ViT) that provides intuitive, consistent explanations by mimicking human 'visual scoring'.
View Article and Find Full Text PDFZhonghua Nei Ke Za Zhi
February 2025
Department of General Medicine the First Affiliated Hospital of Soochow University, Suzhou215006,China.
To analyze the occurrence of metabolic dysfunction-associated fatty liver disease (MAFLD) and related inflammatory indicators in obstructive sleep apnea hypopnea syndrome (OSAHS) and explore the risk factors of MAFLD. A cross-sectional study. From January 2022 to October 2024,172 patients with sleep disorders were enrolled in the First Affiliated Hospital of Soochow University,including 38 patients with non-OSAHS,53 patients with mild OSAHS,37 patients with moderate OSAHS,and 44 patients with severe OSAHS.
View Article and Find Full Text PDFJ Prev Alzheimers Dis
February 2025
Department of Epidemiology and Data Science, Amsterdam UMC, VU University Medical Center, Amsterdam Public Health Research Institute, De Boelelaan 1118, Amsterdam 1081 HZ, The Netherlands.
Background: Few studies have addressed the association of sleep disturbances with incident dementia with long lag times. We add to this literature by investigating how lag times varying from 2.2 to 23.
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