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Purpose: Myotonic dystrophy types 1 (DM1) and 2 (DM2) are the most common muscular dystrophies in adulthood. A high prevalence of excessive daytime sleepiness (EDS) and sleep disordered breathing was documented in DM1; however, there are limited data available regarding DM2. Goals of the study were: (1) to evaluate the prevalence of sleep apnea in a large cohort of patients (71 DM1 and 14 DM2) and (2) to analyze correlations among such disorders and clinical features of myotonic dystrophies.
Methods: All patients underwent clinical examination, subjective sleep evaluation, and home based cardiorespiratory monitoring, and most of them performed pulmonary function tests and oropharyngeal-oesophageal scintigraphy (OPES).
Results: Almost 45% of patients reported poor sleep quality; only 20% of them referred EDS. Sleep studies documented sleep apnea, mostly obstructive, in 69% DM1 patients and 43% DM2 patients; overall, 28% of cases needed non-invasive ventilation. Neither age, gender, illness duration, body mass index, muscle involvement, OPES respiratory function indexes, nor n(CTG) in leukocytes were predictive of sleep apnea in DM1 patients. Conversely, in DM1 the central apnea-hypopnea index is correlated with the oral transit time estimated by OPES, whereas in DM2 apnea indexes are correlated with pulmonary function parameters.
Conclusions: Sleep apnea is highly prevalent in both forms of myotonic dystrophies. In DM1, no clinical parameters appear to be predictive, while age appears to influence the severity of the obstructive variant; in DM2, the severity of sleep apnea is correlated with the degree of respiratory muscle involvement. Considering the harmful consequences of sleep apnea on cardiorespiratory function, our findings suggest including PSG in the follow-up of myotonic dystrophies.
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http://dx.doi.org/10.1007/s11325-013-0921-5 | DOI Listing |
Nat Sci Sleep
December 2024
Department of Otorhinolaryngology Head and Neck Surgery, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People's Republic of China.
Purpose: Aimed to analyze the developmental characteristics of craniofacial structures and soft tissues in children with obstructive sleep apnea (OSA) and to establish and evaluate prediction model.
Methods: It's a retrospective study comprising 747 children aged 2-12 years (337 patients and 410 controls) visited the Department of Otolaryngology-Head and Neck Surgery, the Second Affiliated Hospital of Xi'an Jiaotong University (July 2017 to March 2024). Lateral head radiographs were obtained to compare the cephalometric measurements.
J Stroke Cerebrovasc Dis
December 2024
Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Taiwan; Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; College of Professional Studies, National Pingtung University of Science and Technology, Pingtung, Taiwan. Electronic address:
Background: Obstructive sleep apnea (OSA) is common after stroke. Still, routine screening of OSA with polysomnography (PSG) is often unfeasible in clinical practice, primarily because of how limited resources are and the physical condition of patients. In this study, we used several artificial intelligence techniques to predict moderate-to-severe OSA and identify its features in patients with acute ischemic stroke.
View Article and Find Full Text PDFJ Sleep Res
December 2024
Department of Respiratory and Sleep Sciences, UHCW NHS Trust, Coventry, UK.
Catathrenia is an uncommon sleep disorder. Having been originally classified as a parasomnia it is now considered a sleep related breathing disorder. Polysomnography (PSG) is the gold standard for diagnosing catathrenia which demonstrates a classic pattern of a deep inhalation followed by a protracted exhalation, accompanied by groaning sounds.
View Article and Find Full Text PDFComput Biol Med
December 2024
USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, 90033, USA.
Background: Conventional metrics such as the apnea-hypopnea index (AHI) may not fully capture the diverse clinical manifestations of obstructive sleep apnea (OSA). This study aims to establish a novel OSA subtype classification based on the patterns of apneic and hypopneic hypoxic burden (HB), a potential biomarker that more accurately reflects the severity and duration of respiratory events. We further examined the associations of these HB-based subtypes with cardiometabolic risk and brain health outcomes.
View Article and Find Full Text PDFSleep Med
December 2024
Center for Respiratory and Pulmonary Vascular Diseases, Department of Cardiology, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. Electronic address:
As cardiovascular disease (CVD) incidence and mortality rates continue to rise in China, the importance of identifying and managing CVD risk factors grows. Obstructive sleep apnea (OSA) is a prevalent sleep-related breathing disorder, affecting an estimated 936 million individuals aged 30-69 worldwide, with China leading globally with about 176 million affected. Increasing research indicates a close association between OSA and the onset and progression of various CVD, significantly affecting outcomes.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!