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Feasibility of split night polysomnography in children to diagnose and treat sleep related breathing disorders.
- Source :
-
Sleep medicine [Sleep Med] 2022 Aug; Vol. 96, pp. 107-112. Date of Electronic Publication: 2022 May 18. - Publication Year :
- 2022
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Abstract
- Study Objectives: The gold standard test for diagnosis of sleep related breathing disorders (SRBD) in children is diagnostic polysomnography (PSG). This is often followed by a titration PSG to identify optimal non-invasive ventilation (NIV) pressures. Access to pediatric PSG is limited, resulting in delays to diagnosis and initiation of treatment. Split-night PSGs (snPSG) combine a diagnostic and titration PSG into a single night study. Although described in adults, the pediatric literature on this topic is sparse. The objective of this study was to describe a large cohort of children who utilized snPSG to diagnose SRBD and initiate NIV.<br />Methods: This multi-center study analyzed clinical and PSG data from children with SRBD who had initiated NIV following a snPSG. Data from diagnostic and titration portions of the snPSG were analyzed separately.<br />Results: The study included 165 children who initiated NIV following a snPSG. The majority of children (61.8%) were initiated on NIV for upper airway obstruction. The population included children with medical complexity, including those with central nervous system disorders (17.0%), musculoskeletal/neuromuscular disorders (12.1%), and cardiac disorders (1.2%). Moderate to severe SRBD was present in 87.2% of children with a median apnea-hypopnea index (AHI) of 16.6 events/hour (IQR: 8.2, 38.2). The median AHI was reduced on treatment to 7.6 events/hour (IQR: 3.3, 17.1), with fewer subjects meeting criteria for severe SRBD.<br />Conclusions: snPSG is technically feasible in children, facilitating the diagnosis of SRBD and initiation of NIV, even in those with high medical complexity.<br /> (Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1878-5506
- Volume :
- 96
- Database :
- MEDLINE
- Journal :
- Sleep medicine
- Publication Type :
- Academic Journal
- Accession number :
- 35636147
- Full Text :
- https://doi.org/10.1016/j.sleep.2022.05.011