Literature DB >> 8914907

Screening for obstructive sleep apnea in patients presenting for snoring surgery.

P S Pradhan1, R E Gliklich, J Winkelman.   

Abstract

Excessive mortality is associated with obstructive sleep apnea (OSA). Therefore it is important to diagnose OSA in patients presenting for snoring surgery. A prospective study was performed to develop screening models to detect OSA compared with universal polysomnography for sensitivity and cost. Multivariate analysis of 150 consecutive patients was based on clinical data, questionnaire data, and polysomnography. Two screening models obtained 100% sensitivity and reduced the need for polysomnograms. Cost savings of screening based on clinical data was projected to be $35 to $80 per patient using reported prevalence rates of OSA among snorers. A screening model for OSA using clinical data alone is more cost-effective than one that combines these data with pulse oximetry data, but savings over universal polysomnography were modest.

Entities:  

Mesh:

Year:  1996        PMID: 8914907     DOI: 10.1097/00005537-199611000-00016

Source DB:  PubMed          Journal:  Laryngoscope        ISSN: 0023-852X            Impact factor:   3.325


  5 in total

1.  Validation of a Chinese version of the Epworth sleepiness scale.

Authors:  Ning-Hung Chen; Murray W Johns; Hseuh-Yu Li; Chia-Chen Chu; Shu-Cheng Liang; Yu-Hsiang Shu; Ming-Lung Chuang; Pa-Chun Wang
Journal:  Qual Life Res       Date:  2002-12       Impact factor: 4.147

2.  Validation assessment of the Chinese version of the Snore Outcomes Survey.

Authors:  Ning-Hung Chen; Hsueh-Yu Li; Richard E Gliklich; Chia-Chen Chu; Shu-Cheng Liang; Pa-Chun Wang
Journal:  Qual Life Res       Date:  2002-09       Impact factor: 4.147

3.  A two-tier screening model using quality-of-life measures and pulse oximetry to screen adults with sleep-disordered breathing.

Authors:  Ning-Hung Chen; Min-Chi Chen; Hsueh-Yu Li; Chang-Wei Chen; Pa-Chun Wang
Journal:  Sleep Breath       Date:  2010-05-07       Impact factor: 2.816

4.  The predictive value of clinical and epidemiological parameters in the identification of patients with obstructive sleep apnoea (OSA): a clinical prediction algorithm in the evaluation of OSA.

Authors:  Francisco Santaolalla Montoya; Juan Ramón Iriondo Bedialauneta; Urko Aguirre Larracoechea; Agustin Martinez Ibargüen; Ana Sanchez Del Rey; Jose Maria Sanchez Fernandez
Journal:  Eur Arch Otorhinolaryngol       Date:  2007-01-26       Impact factor: 3.236

Review 5.  Enabling Early Obstructive Sleep Apnea Diagnosis With Machine Learning: Systematic Review.

Authors:  Daniela Ferreira-Santos; Pedro Amorim; Tiago Silva Martins; Matilde Monteiro-Soares; Pedro Pereira Rodrigues
Journal:  J Med Internet Res       Date:  2022-09-30       Impact factor: 7.076

  5 in total

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