Objective: Obesity has reached epidemic proportions and is a strong risk factor for obstructive sleep apnea (OSA). However, the underlying mechanisms are poorly understood and current treatment strategies for OSA and obesity have critical limitations. Thus, establishment of an obesity-related large animal model with spontaneous OSA is imperative.
Materials And Methods: Natural and sedated sleep were monitored and characterized in 4 obese (body mass index - BMI>48) and 3 non-obese (BMI<40) minipigs. These minipigs were instrumented with the BioRadio system under sedation for the wireless recording of respiratory airflow, snoring, abdominal and chest respiratory movements, electroencephalogram, electrooclulogram, electromyogram, and oxygen saturation. After instrumentation, the minipigs were placed in a dark room with a remote night-vision camera for monitoring all behaviors. Wakefulness and different sleep stages were classified, and episodes of apneas and/or hypopneas were identified during natural and/or sedated sleep.
Results: No hypopnea episodes were observed in two of the non-obese minipigs, but one non-obese minipig had 5 hypopnea events. Heavy snoring and 27-58 apnea and/or hypopnea episodes were identified in all 4 obese minipigs. Most of these episodes occurred in the rapid eye movement stage during natural sleep and/or sedated sleep in Yucatan minipigs.
Conclusions: Obese minipigs can experience naturally occurring OSA, thus are an ideal large animal model for obese-related OSA studies.
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http://dx.doi.org/10.15761/jts.1000374 | DOI Listing |
J Contemp Dent Pract
October 2024
Department of Prosthodontics, Dr. D.Y. Patil Dental College & Hospital, Dr. D.Y. Patil Vidyapeeth, Pune, Maharashtra, India.
Aim: The current study aimed to assess the oropharyngeal space using cone-beam computed tomography (CBCT) and its effect on airway volume both before and after denture placement.
Materials And Methods: For this investigation, a total of 15 individuals with fully edentulous upper and lower ridges, ranging in age from 40 to 70, were taken into consideration. A recording of the pulmonary function test was made both prior to and following full denture recovery.
Epileptic Disord
January 2025
Section of Neurology, Department of Internal Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada.
Eur J Orthod
December 2024
Professor, Department of Orthodontics, School of Dentistry, Kyung Hee University, Seoul 02453, Republic of Korea.
Objectives: We aimed to characterize a craniofacial skeletal phenotype (CSP) of adult obstructive sleep apnea (OSA) patients from a multidimensional perspective, exploring the impact of transverse skeletal discrepancy (TSD) on multivariable polysomnographic profiles.
Materials And Methods: This retrospective, cross-sectional study included 102 adult OSA patients. Sagittal, vertical, and transverse skeletal patterns were categorized on the cone beam computed tomography images.
J Multidiscip Healthc
January 2025
School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Objective: Common examinations for diagnosing obstructive sleep apnea (OSA) are polysomnography (PSG) and home sleep apnea testing (HSAT). However, both PSG and HSAT require that sensors be attached to a subject, which may disturb their sleep and affect the results. Hence, in this study, we aimed to verify a wireless radar framework combined with deep learning techniques to screen for the risk of OSA in home-based environments.
View Article and Find Full Text PDFNat Sci Sleep
January 2025
Kunshan Hospital of Traditional Chinese Medicine, Kunshan City, Suzhou, Jiangsu Province, People's Republic of China.
Background: Simple and affordable methods for evaluating Insulin Resistance (IR) have been suggested, such as the Triglyceride-Glucose (TyG) index and its variants, including the TyG-Body Mass Index (TyG-BMI), TyG-Waist Circumference (TyG-WC), and TyG-Waist-to-Height Ratio (TyG-WHtR). The aim of this study is to investigate the relationship between these TyG-related indices, which measure IR, and Obstructive Sleep Apnea (OSA).
Methods: This study analyzed NHANES data from 2007-2008, 2015-2016, and 2017-2020.
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