Cardiac implantable electronic devices and their integrated thoracic impedance sensors have been used to detect sleep apnea for over a decade now. Despite their usage in daily clinical practice, there are only limited data on their diagnostic accuracy. AIRLESS and UPGRADE were prospective investigator-driven trials meant to validate the AP scan (Boston Scientific, Marlborough, MA, USA) in heart failure cohorts. Patients, who either fulfilled the criteria for implantation of an implantable cardioverter-defibrillator (ICD), cardiac resynchronization therapy (CRT), or upgrading to CRT according to most recent guidelines at the time of study conduction, were eligible for enrolment. Sleep apnea and its severity, measured by apnea-hypopnea index (AHI), were assessed by polysomnography. For direct comparison, the apnea sensor-derived AP scan was used from the identical night. Overall, 80 patients were analyzed. Median AHI was 21.6 events/h (7.1-34.7), while median AP scan was 33.0 events/h (26.0-43.0). In the overall cohort, the sensor-derived AP scan correlated significantly with the AHI (r = 0.61, < 0.001) with a mean difference (MD) of -12.6 (95% confidence interval (CI) -38.2 to 13.0). Furthermore, the AP scan was found to correlate well with the AHI in patients with obstructive sleep apnea r = 0.73, = 0.011, MD -5.2, 95% CI -22.7 to 12.3), but not central sleep apnea (r = 0.28, = 0.348, MD -10.4, 95% CI -35.4 to 14.6). In an exclusive heart failure cohort, the AP scan correlated well with the PSG-derived AHI. A similar correlation was found in most subgroups except for patients suffering from central sleep apnea.
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http://dx.doi.org/10.3390/jcm13247519 | DOI Listing |
Sleep Med
January 2025
Grenoble Alpes University, HP2 Laboratory, INSERM U1300, Grenoble Alpes University Hospital, Grenoble, France. Electronic address:
Clinics (Sao Paulo)
January 2025
Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran. Electronic address:
Objectives: It is estimated that up to 65 % of pwMS (people with multiple sclerosis) experience varying degrees of cognitive impairment, the most commonly affected domain being Information Processing Speed (IPS). As sleep disturbance is a predictor of detriments in IPS, the authors aimed to study the association between the severity of Restless Legs Syndrome (RLS) and Obstructive Sleep Apnea (OSA) symptoms with IPS in pwMS.
Methods: In a cross-sectional study, the authors enrolled people with relapsing-remitting and secondary progressive MS referred to the comprehensive MS center of Kashani Hospital in Isfahan, Iran.
Sleep Breath
January 2025
McGovern Medical School University of Texas Health, Houston, TX, USA.
Purpose: Children with achondroplasia (ACH) are at risk for sudden death in infancy due to sleep disordered breathing (SDB) and foramen magnum stenosis (FMS). Sleep studies and neuroimaging are performed in infants with ACH, but interpretation of infant studies is challenging. We sought to describe baseline data on polysomnography (PSG) indices in infants with achondroplasia as well as effects of age and surgery on these parameters.
View Article and Find Full Text PDFMed Sci (Basel)
December 2024
Department of Medicine, Universidad Nacional Autonoma de México (UNAM), Mexico City 04510, Mexico.
Sleep apnea-hypopnea syndrome (SAHS) is a respiratory disorder characterized by cessation of breathing during sleep, resulting in daytime somnolence and various comorbidities. SAHS encompasses obstructive sleep apnea (OSA), caused by upper airway obstruction, and central sleep apnea (CSA), resulting from lack of brainstem signaling for respiration. Continuous positive airway pressure (CPAP) therapy is the gold standard treatment for SAHS, reducing apnea and hypopnea episodes by providing continuous airflow.
View Article and Find Full Text PDFClocks Sleep
December 2024
Institute of Physics, Saratov State University, Astrahanskaia, 83, Saratov 410012, Russia.
This study involved 72 volunteers divided into two groups according to the apnea-hypopnea index (AHI): AHI>15 episodes per hour (ep/h) (main group, n=39, including 28 men, median AHI 44.15, median age 47), 0≤AHI≤15ep/h (control group, n=33, including 12 men, median AHI 2, median age 28). Each participant underwent polysomnography with a recording of 19 EEG channels.
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