关键词: Airway obstruction Cephalometry Obstructive Sleep apnoea Sleep apnoea syndromes

来  源:   DOI:10.1016/j.jobcr.2024.06.007   PDF(Pubmed)

Abstract:
UNASSIGNED: Obstructive sleep apnoea (OSA) is part of a spectrum of sleep disorders causing snoring, gasping, and choking while sleeping. In children, OSA can also lead to behavioural issues, hyperactivity, and poor academic performance. Thus, early identification and management of OSA in children is crucial in preventing long-term health problems. The gold standard test for diagnosis is an overnight in-lab polysomnography (PSG). However, due to certain constraints associated with PSG, such as lack of accessibility, high expenses incurred, as well as the need for hospitalization, alternative diagnostic tools are needed. Cephalometry is a non-invasive, affordable diagnostic tool that may offer useful information in the evaluation of OSA. The present systematic review and meta-analysis aimed to evaluate the various cephalometric parameters associated with the diagnosis of OSA in children.
UNASSIGNED: A structured literature search was performed using the search engines PubMed, Scopus, Web of Science, Cochrane, and Google scholar from inception till July 2022. The weighted mean difference (z-test) was calculated using a random effects method (REM).
UNASSIGNED: 16 studies were included in the review and meta-analysis was executed for each cephalometric parameter. The parameters of significance (p < 0.05) in Pediatric OSA with lower heterogeneity were associated with McNamara\'s and Linder-Aronson\'s analysis, the hyoid bone position, a retrognathic mandible, and an acute cranial base angle.
UNASSIGNED: Certain parameters in craniofacial morphology may be reliable diagnostic parameters. Further long-term studies are needed in order to shed more light in this area.
摘要:
阻塞性睡眠呼吸暂停(OSA)是引起打鼾的一系列睡眠障碍的一部分,喘气,睡觉时窒息。在儿童中,OSA也会导致行为问题,多动症,学习成绩差。因此,儿童OSA的早期识别和管理对于预防长期健康问题至关重要.诊断的黄金标准测试是过夜实验室多导睡眠图(PSG)。然而,由于与PSG相关的某些约束,例如缺乏可访问性,产生的高额费用,以及住院的需要,需要替代诊断工具。头影测量是非侵入性的,经济实惠的诊断工具,可以为OSA的评估提供有用的信息。本系统综述和荟萃分析旨在评估与儿童OSA诊断相关的各种头颅测量参数。
使用搜索引擎PubMed,Scopus,WebofScience,科克伦,和谷歌学者从成立到2022年7月。使用随机效应法(REM)计算加权平均差(z检验)。
16项研究纳入评价,并对每个头颅测量参数进行荟萃分析。具有较低异质性的儿童OSA的显著性参数(p<0.05)与McNamara和Linder-Aronson分析相关,舌骨位置,下颌后下颌骨,和急性颅底角。
颅面形态学中的某些参数可能是可靠的诊断参数。需要进一步的长期研究,以便在这一领域进一步阐明。
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