Kapoor Priyanka, Chowdhry Aman, Sengar Poonam, Mehta Abhishek
Orthodontics & Dentofacial Orthopaedics, Faculty of Dentistry, Jamia Millia Islamia, New Delhi, 110025, India.
Oral Pathology & Microbiology, Faculty of Dentistry, Jamia Millia Islamia, New Delhi, 110025, India.
J Oral Biol Craniofac Res. 2022 Jan-Feb;12(1):109-115. doi: 10.1016/j.jobcr.2021.11.004. Epub 2021 Nov 11.
Obstructive Sleep Apnea (OSA), the most prevalent form of sleep-related breathing disorder has practical and financial limitations in diagnosis by polysomnography, hence OSA risk-assessment can identify OSA-related symptoms early.
To develop a mobile application for OSA-risk assessment and tests its validity, feasibility, and application in a hospital-based pilot sample.
The study comprised of two parts.
Development of a mobile application "OSA-Risk Assessment Tool" using automated questionnaires.
A pilot study to screen OSA-risk in 200 patients (100 adults,100 children) from the orthodontic OPD of a Govt. Dental Hospital, using the mobile application. Internal validation by manual and mobile-based methods was done on 30 random patients. Non-parametric tests assessed the statistical differences between OSA-risk and nonOSA-risk variables.
The prevalence of OSA-risk was 21.4% in adults and 8% in children. In adults, OSA-risk showed significantly greater neck circumference (p = 0.0001), waist circumference(p = 0.001), body mass index(p = 0.008), daytime sleepiness, headache, and mouth breathing(p = 0.0001). In children, OSA-risk is associated with a dry mouth on awakening, daytime sleepiness, and mouth breathing, and nocturnal enuresis. The low OSA-risk patients were suggested standardized preventive management counseling and orthodontic interventions while medium to high-risk underwent sleep-specialist referrals.
This study supports the feasibility and usability of the mobile application "OSA-risk assessment tool" in a hospital setup. This cost-effective tool can be advocated for self-evaluation, early detection, and awareness in pandemic times. The future upgraded versions may include preventive modules and real-time coordination with the nearest sleep clinics and specialists.
阻塞性睡眠呼吸暂停（OSA）是与睡眠相关的呼吸障碍最常见的形式，通过多导睡眠图进行诊断存在实际和经济限制，因此OSA风险评估可以早期识别与OSA相关的症状。
开发一款用于OSA风险评估的移动应用程序，并测试其在基于医院的试点样本中的有效性、可行性和应用情况。
该研究包括两个部分。
使用自动问卷开发一款移动应用程序“OSA风险评估工具”。
一项试点研究，使用该移动应用程序对一家政府牙科医院正畸门诊的200名患者（100名成人，100名儿童）进行OSA风险筛查。对30名随机患者采用手动和基于移动应用程序的方法进行内部验证。非参数检验评估OSA风险和非OSA风险变量之间的统计差异。
成人中OSA风险的患病率为21.4%，儿童为8%。在成人中，OSA风险患者的颈围（p = 0.0001）、腰围（p = 0.001）、体重指数（p = 0.008）、日间嗜睡、头痛和口呼吸（p = 0.0001）显著更高。在儿童中，OSA风险与醒来时口干、日间嗜睡、口呼吸和夜间遗尿有关。建议低OSA风险患者接受标准化的预防管理咨询和正畸干预，而中高风险患者则转诊至睡眠专科医生处。
本研究支持移动应用程序“OSA风险评估工具”在医院环境中的可行性和可用性。这种具有成本效益的工具可用于大流行时期的自我评估、早期检测和提高认识。未来的升级版本可能包括预防模块以及与最近的睡眠诊所和专家的实时协调。
