Literature DB >> 28267299

Predicting the effect of treatment in paediatric OSA by clinical examination and functional respiratory imaging.

Monique Slaats1,2, Wim Vos3, Cedric Van Holsbeke3, Jan De Backer3, Dieter Loterman3, Wilfried De Backer2,4, An Boudewyns5, Stijn Verhulst1,2.   

Abstract

OBJECTIVE: The aim of this study was to investigate whether functional respiratory imaging (FRI) or clinical examination could predict treatment outcome for obstructive sleep apnea (OSA) in normal-weight, non-syndromic children.
METHODS: Normal weight children diagnosed with OSA by polysomnography were prospectively included. All children got a thorough evaluation and an ultra-low dose computed tomography scan of the upper airway (UA). A 3-D reconstruction was built combined with computational fluid dynamics for FRI. Decisions on the need and type of surgery were based upon findings during drug-induced sleep endoscopy. A second polysomnography was performed 3-12 months after surgery.
RESULTS: Ninety-one children were included: 62 boys, 5.0 ± 2.7 years, and BMI z-score of -0.1 ± 1.2. Children with more severe OSA had a smaller volume of the overlap region between the adenoids and tonsils. Nineteen out of 60 patients had persistent OSA (oAHI >2/h). A lower conductance in the UA and a higher tonsil score predicted successful treatment.
CONCLUSIONS: A less constricted airway, as characterized by both FRI and a lower tonsil score, was associated with a less favorable response to (adeno) tonsillectomy. Further studies after treatment using FRI and DISE are warranted to further characterize the UA of these subjects.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  children; computational fluid dynamics; obstructive sleep apnea; prediction; treatment

Mesh:

Year:  2017        PMID: 28267299     DOI: 10.1002/ppul.23684

Source DB:  PubMed          Journal:  Pediatr Pulmonol        ISSN: 1099-0496


  3 in total

1.  The Role of Functional Respiratory Imaging in Treatment Selection of Children With Obstructive Sleep Apnea and Down Syndrome.

Authors:  Monique A L J Slaats; Dieter Loterman; Cedric van Holsbeke; Wim Vos; Kim Van Hoorenbeeck; Jan de Backer; Wilfried de Backer; Marek Wojciechowski; An Boudewyns; Stijn Verhulst
Journal:  J Clin Sleep Med       Date:  2018-04-15       Impact factor: 4.062

2.  Geometric Validation of Continuous, Finely Sampled 3-D Reconstructions From aOCT and CT in Upper Airway Models.

Authors:  Hillel B Price; Julia S Kimbell; Ruofei Bu; Amy L Oldenburg
Journal:  IEEE Trans Med Imaging       Date:  2018-10-17       Impact factor: 10.048

3.  Upper airway flow characteristics of childhood obstructive sleep apnea-hypopnea syndrome.

Authors:  Huikun Cai; Chang Xu; Haoyang Xue; Yufeng Guo; Lijun Su; Xingqiang Gao
Journal:  Sci Rep       Date:  2022-05-05       Impact factor: 4.996

  3 in total

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