Publications by authors named "C M Schweitzer"

Background: Oximetry was proposed as an abbreviated exam, easily accepted by the child, for the diagnosis of obstructive sleep apnea (OSA) for children located in regions where access to pediatric sleep labs is limited. The objective of this study was to determine the diagnostic value of the oxygen desaturation index (ODI), the number of ≥ 3% oxygen desaturations per hour of recording, obtained by portable oximetry performed in parallel with video-polysomnography (PSG), in a cohort of children, with and without comorbidities, referred for OSA.

Methods: Data from portable oximetry performed in parallel with PSG were prospectively collected.

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Purpose: The aim of the study was to analyze the characteristics of otherwise healthy children with obstructive sleep apnea (OSA; OSA-I) and children with OSA and non-syndromic obesity (OSA-II) treated with long term continuous positive airway pressure (CPAP) or noninvasive ventilation (NIV) in 2019 in France.

Methods: Data were collected from a national survey on paediatric home noninvasive ventilatory support. CPAP/NIV initiation criteria and duration, age at CPAP/NIV initiation, equipment used and CPAP/NIV settings, and objective compliance were analyzed.

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Polysomnography (PSG) is the gold standard for diagnosing obstructive sleep apnea (OSA) in children but not always available. Abbreviated exams exist, such as respiratory polygraphy (RP), but are less accurate for OSA diagnosis. Video recording (video-RP) may provide a more precise estimation of the total sleep time (TST) compared to RP alone.

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Purpose: Cataract, the leading cause of blindness worldwide, is a multifactorial disease involving oxidative stress mechanisms. The aim of our study was to investigate the relationship between air pollution exposure and the incidence of cataract surgery.

Methods: The 3C-Alienor study is a population-based cohort of residents of Bordeaux, France, aged 65 years or more, recruited in 1999-2000 and followed every 2-3 years until 2017.

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Cumulative impact mapping is a commonly applied spatial representation of the impacts of human activities on the ocean. This spatial model has been applied at varying scales around the world, in part due to its ability to visually communicate complicated information in a simple way. The application of the model to decision-making processes requires an understanding of the reliability and stability of its outputs.

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