Literature DB >> 33344153

Customized wire prosthesis (Devise) for alar collapse in sleep apnoea.

Singh Nitya1, Katyayan Angira2, Mishra Anupam1, Mishra Pranav3, Arvind Kumar Tripathi4.   

Abstract

BACKGROUND: Alar collapse is known to aggravate snoring-severity and possibly the severity of obstructive sleep apnoea. Various surgical techniques, implants and commercial mechanical/prosthetic nasal alar dilators are evident in literature.
MATERIAL AND METHODS: A malleable wire prosthesis at 'no' manufacturing cost is custom designed through computer modelling and animation and thereafter tested for its efficacy in 20 normal subjects as per visual analog scale along with its correlation with patient-profiles. OBSERVATIONS AND
RESULTS: All subjects reported improvement in their nasal patency ranging from 30% to 99% but no correlation was seen between the degree of improvement & patient variables. This improvement in normal subjects indicates even a better improvement in true alar collapse.
CONCLUSION: Main advantages of this devise is its extremely low-cost, non-traumatic nature, adjustability to suit patient comfort and can be customised across all types of noses. However it seems cosmetically unacceptable during the daytime, as well as for small children. With no correlation with patient factors the acceptability of this devise is mainly dependent on a good customized design. With a constant use during bedtime in alar collapse this device may not only resolve snoring and improve the sleep-quality of spouse but also enhances oxygenation during sleep.
© 2020 Published by Elsevier B.V. on behalf of Craniofacial Research Foundation.

Entities:  

Keywords:  Alar collapse; Prosthesis; Sleep apnoea; Snoring

Year:  2020        PMID: 33344153      PMCID: PMC7736983          DOI: 10.1016/j.jobcr.2020.11.008

Source DB:  PubMed          Journal:  J Oral Biol Craniofac Res        ISSN: 2212-4268


  2 in total

Review 1.  Mechanical nasal alar dilators.

Authors:  Eva Ellegård
Journal:  Rhinology       Date:  2006-12       Impact factor: 3.681

2.  Computer Algorithms in Assessment of Obstructive Sleep Apnoea Syndrome and Its Application in Estimating Prevalence of Sleep Related Disorders in Population.

Authors:  Angira Katyayan; Vishal Yadav; Pranav Mishra; Anupam Mishra; Mallika Saxena; Surya Kant; Rajiv Garg; Anand Srivastava; Veerendra Verma
Journal:  Indian J Otolaryngol Head Neck Surg       Date:  2019-02-08
  2 in total

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