Literature DB >> 10474668

A new method for evaluating and reporting the severity of snoring.

P V Lim1, A R Curry.   

Abstract

We propose a new questionnaire-based method for evaluating and reporting the severity of snoring, the snoring scale score (SSS), which provides an assessment of the loudness, frequency and periodicity of snoring sound. Ninety-nine patients with snoring problems were assessed and the results of 19 patients who underwent surgery to reduce snoring were reported using the SSS and the linear analogue score (LAS) at six weeks and six months after surgery. All patients reported reduction of snoring on both the SSS and LAS after surgery although minor discrepancies of reporting were found in six patients when comparisons were made between reporting of outcome using the SSS and LAS. Our study suggested that the SSS offers a uniform, comprehensive and simple to understand method for the evaluation, grading and reporting of snoring which is not currently available.

Entities:  

Mesh:

Year:  1999        PMID: 10474668     DOI: 10.1017/s0022215100143919

Source DB:  PubMed          Journal:  J Laryngol Otol        ISSN: 0022-2151            Impact factor:   1.469


  12 in total

1.  Mixed-phase modeling in snore sound analysis.

Authors:  Udantha R Abeyratne; Asela S Karunajeewa; Craig Hukins
Journal:  Med Biol Eng Comput       Date:  2007-07-12       Impact factor: 2.602

2.  Does tonsillectomy reduce the risk of being a habitual or severe snorer?

Authors:  Cüneyt Orhan Kara; Funda Tümkaya; Necdet Ardic; Bulent Topuz
Journal:  Eur Arch Otorhinolaryngol       Date:  2008-02-27       Impact factor: 2.503

3.  The effect of singing on snoring and daytime somnolence.

Authors:  Irumee Pai; Stephen Lo; Dennis Wolf; Azgher Kajieker
Journal:  Sleep Breath       Date:  2008-01-08       Impact factor: 2.816

4.  The effects of oropharyngeal-lingual exercises in patients with primary snoring.

Authors:  Shadman Nemati; Hooshang Gerami; Soheil Soltanipour; Alia Saberi; Solmaz Khorasani Moghadam; Fatemeh Setva
Journal:  Eur Arch Otorhinolaryngol       Date:  2014-11-05       Impact factor: 2.503

Review 5.  Oropharyngeal and tongue exercises (myofunctional therapy) for snoring: a systematic review and meta-analysis.

Authors:  Macario Camacho; Christian Guilleminault; Justin M Wei; Sungjin A Song; Michael W Noller; Lauren K Reckley; Camilo Fernandez-Salvador; Soroush Zaghi
Journal:  Eur Arch Otorhinolaryngol       Date:  2017-12-23       Impact factor: 2.503

6.  Effect of Multilevel Upper Airway Surgery vs Medical Management on the Apnea-Hypopnea Index and Patient-Reported Daytime Sleepiness Among Patients With Moderate or Severe Obstructive Sleep Apnea: The SAMS Randomized Clinical Trial.

Authors:  Stuart MacKay; A Simon Carney; Peter G Catcheside; Ching Li Chai-Coetzer; Michael Chia; Peter A Cistulli; John-Charles Hodge; Andrew Jones; Billingsley Kaambwa; Richard Lewis; Eng H Ooi; Alison J Pinczel; Nigel McArdle; Guy Rees; Bhajan Singh; Nicholas Stow; Edward M Weaver; Richard J Woodman; Charmaine M Woods; Aeneas Yeo; R Doug McEvoy
Journal:  JAMA       Date:  2020-09-22       Impact factor: 56.272

7.  The velo-uvulo-pharyngeal lift or "roman blinds" technique for treatment of snoring: a preliminary report.

Authors:  M Mantovani; A Minetti; S Torretta; A Pincherle; G Tassone; L Pignataro
Journal:  Acta Otorhinolaryngol Ital       Date:  2012-02       Impact factor: 2.124

8.  Accurate position monitoring and improved supine-dependent obstructive sleep apnea with a new position recording and supine avoidance device.

Authors:  James J Bignold; Jeremy D Mercer; Nick A Antic; R Doug McEvoy; Peter G Catcheside
Journal:  J Clin Sleep Med       Date:  2011-08-15       Impact factor: 4.062

9.  Energy types of snoring sounds in patients with obstructive sleep apnea syndrome: a preliminary observation.

Authors:  Li-Ang Lee; Jen-Fang Yu; Yu-Lun Lo; Yen-Sheng Chen; Ding-Li Wang; Chih-Ming Cho; Yung-Lun Ni; Ning-Hung Chen; Tuan-Jen Fang; Chung-Guei Huang; Hsueh-Yu Li
Journal:  PLoS One       Date:  2012-12-31       Impact factor: 3.240

10.  Comparison of SVM and ANFIS for snore related sounds classification by using the largest Lyapunov exponent and entropy.

Authors:  Haydar Ankışhan; Derya Yılmaz
Journal:  Comput Math Methods Med       Date:  2013-09-30       Impact factor: 2.238

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.