Literature DB >> 19293704

A meta-analysis of clinical screening tests for obstructive sleep apnea.

Satya Krishna Ramachandran1, Lydia A Josephs.   

Abstract

The purpose of this meta-analysis is to compare clinical screening tests for obstructive sleep apnea and establish an evidence base for their preoperative use. Diagnostic odds ratios were used as summary measures of accuracy, and false-negative rates were used as measures of missed diagnosis with each screening test in this review. Metaregression revealed that clinical models, logarithmic equations, combined techniques, cephalometry, and morphometry are significant characteristics, whereas body mass index, history of hypertension, and nocturnal choking are significant test elements associated with higher diagnostic accuracy. Test accuracy in repeated validation studies of the same screening test is variable, suggesting an underlying heterogeneity in either the clinical presentation of obstructive sleep apnea or the measured clinical elements of these models. Based on the false-negative rates, it is likely that most of the clinical screening tests will miss a significant proportion of patients with obstructive sleep apnea.

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Year:  2009        PMID: 19293704     DOI: 10.1097/ALN.0b013e31819c47b6

Source DB:  PubMed          Journal:  Anesthesiology        ISSN: 0003-3022            Impact factor:   7.892


  71 in total

1.  Diagnostic characteristics of clinical prediction models for obstructive sleep apnea in different clinic populations.

Authors:  See-Meng Khoo; Hze-Khoong Poh; Yiong-Huak Chan; Wang-Jee Ngerng; Dong-Xia Shi; T K Lim
Journal:  Sleep Breath       Date:  2010-05-04       Impact factor: 2.816

2.  Obstructive Sleep Apnea Syndrome in Company Workers: Development of a Two-Step Screening Strategy with a New Questionnaire.

Authors:  Michiel M Eijsvogel; Sytske Wiegersma; Winfried Randerath; Johan Verbraecken; Esther Wegter-Hilbers; Job van der Palen
Journal:  J Clin Sleep Med       Date:  2016-04-15       Impact factor: 4.062

3.  The STOP-Bang equivalent model and prediction of severity of obstructive sleep apnea: relation to polysomnographic measurements of the apnea/hypopnea index.

Authors:  Robert J Farney; Brandon S Walker; Robert M Farney; Gregory L Snow; James M Walker
Journal:  J Clin Sleep Med       Date:  2011-10-15       Impact factor: 4.062

4.  Identification of patients with sleep disordered breathing: comparing the four-variable screening tool, STOP, STOP-Bang, and Epworth Sleepiness Scales.

Authors:  Graciela E Silva; Kimberly D Vana; James L Goodwin; Duane L Sherrill; Stuart F Quan
Journal:  J Clin Sleep Med       Date:  2011-10-15       Impact factor: 4.062

5.  Utility of the STOP-BANG components to identify sleep apnea using home respiratory polygraphy.

Authors:  Eduardo Borsini; Glenda Ernst; Alejandro Salvado; Martín Bosio; Julio Chertcoff; Facundo Nogueira; Carlos Nigro
Journal:  Sleep Breath       Date:  2015-04-24       Impact factor: 2.816

6.  Assessment of the relationship between polysomnography parameters and plasma malondialdehyde levels in patients with obstructive sleep apnea.

Authors:  Özden Savaş; Ahmet Emre Süslü; Incilay Lay; Serdar Özer
Journal:  Eur Arch Otorhinolaryngol       Date:  2019-07-01       Impact factor: 2.503

7.  Diagnosis of snoring and obstructive sleep apnea: a review of the accuracy.

Authors: 
Journal:  CADTH Technol Overv       Date:  2010-03-01

8.  Sleep-disordered breathing and postoperative outcomes after elective surgery: analysis of the nationwide inpatient sample.

Authors:  Babak Mokhlesi; Margaret D Hovda; Benjamin Vekhter; Vineet M Arora; Frances Chung; David O Meltzer
Journal:  Chest       Date:  2013-09       Impact factor: 9.410

Review 9.  The management of surgical patients with obstructive sleep apnea.

Authors:  Jahan Porhomayon; Ali El-Solh; Sanjeev Chhangani; Nader D Nader
Journal:  Lung       Date:  2011-07-31       Impact factor: 2.584

10.  Validation of the NoSAS Score for the Screening of Sleep-Disordered Breathing: A Hospital-Based Retrospective Study in China.

Authors:  Cheng Hong; Riken Chen; Simin Qing; Ailing Kuang; HuaJing Yang; Xiaofen Su; Dongxing Zhao; Kang Wu; Nuofu Zhang
Journal:  J Clin Sleep Med       Date:  2018-02-15       Impact factor: 4.062

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