Background: A close relationship between obstructive sleep apnoea (OSA) and Alzheimer's disease (AD) has been described in recent years. OSA is a risk factor for AD, but the diagnosis and clinical characteristics of OSA in patients with AD is not well understood. This study evaluated the clinical utility of two screening questionnaires, the STOP-Bang questionnaire (SBQ) and the Berlin questionnaire (BQ), to identify which patients with mild AD are at higher risk of having OSA and to determine the clinical predictors of OSA in this population.
Methods: In this study, 91 consecutive outpatients with mild AD were prospectively evaluated with the SBQ and the BQ. All patients underwent level 1 in-laboratory polysomnography. The predictive performance of the questionnaires were calculated for different apnoea-hypopnoea index (AHI) cut-offs.
Results: The median age of the patients was 76.0 (73.0; 80.0) years, and 58 (63.7%) were female. Of those, 81 patients (89.02%) were found to have OSA defined by an AHI > 5 events/h. Comparing the predictive performances of the SBQ and the BQ, the SBQ was found to have a higher diagnostic sensitivity (85% vs 4%), a lower specificity (35% vs. 96%), a higher positive predictive value (PPV) (44% vs 33%) and negative predictive value (NPV) (80% vs 65%) for detecting severe OSA at an AHI cut-off of 30 events/h. None of the items alone in the two questionnaires predicted the risk of OSA. A modified version of the SBQ, with new cut-off points for several variables according to the characteristics of AD patients, showed a slightly greater AUC than the standard SBQ (AUC 0.61 vs 0.72).
Conclusion: There is a high prevalence of OSA among patients with mild AD. The SBQ and the BQ are not good screening tools for detecting OSA in patients with AD. A modified version of SBQ could increase the detection of these patients.
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http://dx.doi.org/10.1016/j.sleep.2019.01.033 | DOI Listing |
Sleep Med
December 2024
Monash Lung, Sleep, Allergy and Immunology, Monash Health, Victoria, Australia; School of Clinical Sciences, Monash University, Victoria, Australia; Epworth Partners, Victoria, Australia.
Obstructive sleep apnea (OSA) is now recognized to be a multifactorial disorder caused by several endotypes that differ between individuals and patient populations. In order to understand the current clinical implications of OSA endotypes, this review aims to examine the current state of play in endotype measurements, endotype modification and their impact on clinical outcomes/prognosis. In summary, the field has developed multiple techniques to measure the endotypes over the last few decades.
View Article and Find Full Text PDFNat 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 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.
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