Obstructive sleep apnea (OSA) is associated with an increased risk of cardiovascular disease. Previous studies have assessed the relationship between OSA and coronary artery disease (CAD) using coronary artery calcium score (CAC) measurements. However, limited data are available regarding the association of OSA with non-calcified plaque burden. We therefore aimed to assess the relationship between CAD severity as assessed by coronary computed tomography angiography (CTA) and OSA. Forty-one adult subjects (59 ± 9 years, 15 men) underwent a 256-slice coronary CTA, which was followed by a diagnostic attended cardiorespiratory polygraphy (n = 13) or polysomnography (n = 28). Segment involvement score (SIS), segment stenosis score (SSS) and CAC were used to quantify total CAD burden. Correlation analysis was used to assess potential associations between CAD and OSA. Twenty-two patients were diagnosed with OSA. SIS and SSS were elevated in OSA (2.90 ± 2.78 versus 1.79 ± 2.39 and 4.91 ± 5.94 versus 1.79 ± 4.54, OSA versus controls, SIS and SSS respectively, both p < 0.01) and correlated with OSA severity as measured by the apnea-hypopnea index (AHI, r = 0.41 and 0.43, p < 0.01) and oxygen desaturation index (ODI, r = 0.45 and 0.46, p < 0.01). However, no significant correlation was observed between CAC and OSA. Compared to CAC, SIS and SSS provide additional information on coronary plaque burden in OSA, which shows a significant association with OSA.
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http://dx.doi.org/10.1111/jsr.12828 | DOI Listing |
JAMA
January 2025
Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Importance: Chronic obstructive pulmonary disease (COPD) is often undiagnosed. Although genetic risk plays a significant role in COPD susceptibility, its utility in guiding spirometry testing and identifying undiagnosed cases is unclear.
Objective: To determine whether a COPD polygenic risk score (PRS) enhances the identification of undiagnosed COPD beyond a case-finding questionnaire (eg, the Lung Function Questionnaire) using conventional risk factors and respiratory symptoms.
Sleep Breath
January 2025
Department of Otolaryngology, The First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin, 150040, China.
Background: This study aimed to investigate the association between Obstructive Sleep Apnea (OSA) and Tinnitus using NHANES data from 2005 to 2020.
Methods: This study analyzed data from NHANES (National Health and Nutrition Examination Surveys) conducted between 2005 and 2020, and included 4871 participants aged 16 or older. OSA was assessed using the Multivariate Apnea Prediction Index and the variables from the National Health and Nutrition Examination Survey.
Recenti Prog Med
January 2025
Department of General practice, University Hospital Würzburg, Germany.
Hua Xi Kou Qiang Yi Xue Za Zhi
February 2025
Stomatological College of Nanjing Medical University, Nanjing 210029, China.
Objectives: This study aims to compare the effects of two orthodontic treatment modalities for skeletal class Ⅲ malocclusion on specific changes in airway volume, morphology, palatal angle, mandibular rotation, and bone displacement. Results provide scientific evidence for the selection of orthodontic treatment plans and reduce the risk of developing obstructive sleep apnea hypopnea syndrome (OSAHS).
Methods: Thirty-six patients diagnosed with skeletal class Ⅲ malocclusion at the Department of Orthodontics, the Affiliated Stomatological Hospital of Nanjing Medical University from September 2018 to December 2023 were divided into two groups: orthodontic-orthognathic treatment group (18 patients) and camouflage orthodontic treatment group (18 patients).
J Int Med Res
January 2025
Quanjiao County People's Hospital, Quanjiao County, Chuzhou, Anhui, China.
Objective: We aimed to examine the relationship between the weight-adjusted waist index (WWI) and obstructive sleep apnea (OSA), a condition often caused by obesity, which remains unclear.
Methods: In this cross-sectional study, we analyzed data from the National Health and Nutrition Examination Survey among adults in the United States (US) aged 20 to 65 years, covering the periods 2005 to 2008 and 2015 to 2018. The study included 8278 participants; we used multivariate logistic regression, restricted cubic splines, and subgroup analyses to explore the relationship between WWI and OSA.
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