Background And Purpose: In Guadeloupe, data on the relationships between arterial hypertension and obstructive sleep apnea are unavailable. The aim of this study was: to assess the frequency of hypertension and non-dipper pattern evaluated by 48-hour ambulatory blood pressure monitoring in an adult population identified obstructive sleep apnea/non-obstructive sleep apnea during overnight polygraphy ; to determine the cardio-metabolic factors associated with obstructive sleep apnea.
Design And Method: A cross-sectional study was realized at Pointe-à-Pitre Hospital. Patients were referred for suspected sleep apnea to sleep specialist and performed a nocturnal polygraphy. Diagnosis was confirmed if the apnea-hypopnea index was ≥ 5. We obtained two groups: sleep apnea/non-sleep apnea. All patients underwent 48-hour ambulatory blood pressure monitoring. The cardio-metabolic factors were identified and assessed (fasten level of hs-CRP and Homa-IR index).
Results: A total of 204 patients were included. Mean age at diagnosis was 54 ± 10 years, 63% were women. OSA was present in 69.6% with a higher frequency in men than in women. Difference was not significant between the two groups for hypertension frequency (84.5% vs 77%; P=0.22), non-dipper pattern (77.5% vs 76%; P=0.79) and hs-CRP. Differences for age, snoring, body max index, mean waist circumference, Homa-IR index, obesity, dyslipidemia, and type 2 diabetes were significant.
Conclusions: Our data highlight raised frequency of cardiovascular metabolic factors in patients with obstructive sleep apnea and confirm their high cardiovascular risk.
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http://dx.doi.org/10.1016/j.ancard.2015.04.010 | DOI Listing |
Int Clin Psychopharmacol
January 2025
Department of Medicine, University of California, San Francisco - Fresno, Fresno, California, USA.
Obstructive sleep apnea (OSA) is a prevalent sleep disorder linked to significant daytime sleepiness and mood disturbances. Continuous positive airway pressure (CPAP) therapy is the standard treatment for OSA, but its effects on mental health outcomes, are not well understood. This study aimed to evaluate the impact of CPAP on daytime sleepiness, depressive symptoms, and anxiety symptoms while assessing how improvements vary with age.
View Article and Find Full Text PDFBackground: Obstructive sleep apnea (OSA) is a complex and heterogeneous condition associated with chronic physiological and neuropsychological disturbances (1-4). One notable neuropsychological effect observed in OSA patients is memory impairment (2,5). Additionally, some reports suggest that OSA may be associated with Alzheimer's Disease (AD) (4).
View Article and Find Full Text PDFBackground: The present study examined OSA using an objective home sleep test in 81 adults with DS (aged 25 ∼ 61 years) and evaluated associations between sleep-disordered breathing problems and biomarkers of AD pathology (PET Aβ and tau) and symptomology (cognitive performance and depressed mood).
Method: As part of the ABC-DS study, participants completed a 2.5-hour battery of cognitive measures and underwent MRI and PET imaging scans and a blood draw.
Alzheimers Dement
December 2024
Geriatric Research Education and Clinical Center William S. Middleton VA Hospital, Madison, WI, USA.
Background: Obstructive sleep apnea (OSA) is associated with hypoxia-induced neuronal impairment and dysfunction-key risk factors for the pathogeneses of age-related neurodegenerative diseases such as Alzheimer's disease (AD). This study examined longitudinal associations between OSA severity and CSF biomarkers associated with AD, synaptic dysfunction, and neuroinflammation in a sample of late-middle-aged adults with increased risk for AD.
Method: N=25 cognitively unimpaired adults (64% female, mean age 65.
Background: Timely identification of mild cognitive impairment (MCI) is key to early intervention. While primary care providers are the most likely entry point to detect early signs of MCI, their detection rates are low. Building upon a published study, we used electronic health records (EHR) to develop a clinically enhanced MCI risk prediction algorithm.
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