Literature DB >> 30734890

Comparative performance of screening instruments for obstructive sleep apnea in morbidly obese patients referred to a sleep laboratory: a prospective cross-sectional study.

Ricardo L M Duarte1,2, Fernanda C Q Mello3, Flavio J Magalhães-da-Silveira4, Tiago S Oliveira-E-Sá5,6, Marcelo F Rabahi7, David Gozal8.   

Abstract

PURPOSE: Obstructive sleep apnea (OSA) is very common occurrence among morbidly obese patients. Our main objectives were to validate the No-Apnea, a 2-item screening tool, in morbidly obese patients and compare its performance with three other instruments: STOP-Bang questionnaire, NoSAS score, and Epworth Sleepiness Scale (ESS).
METHODS: A cross-sectional analysis of morbidly obese patients (body mass index [BMI] ≥ 35.0 kg/m2) grouped into two independent samples: bariatric surgery patients (BS) and non-bariatric surgery patients (NBS). All patients underwent overnight polysomnography. Discriminatory ability was assessed by area under the curve (AUC). OSA severity was defined by apnea/hypopnea index cut-off points: ≥ 5.0/h (OSA≥5), ≥ 15.0/h (OSA≥15), and ≥ 30.0/h (OSA≥30).
RESULTS: A total of 1017 subjects (40.4% in BS cohort and 59.6% in NBS cohort) were evaluated. In the BS cohort, No-Apnea had similar discrimination to STOP-Bang and NoSAS for predicting OSA≥5 (p = 0.979 and p = 0.358, respectively), OSA≥15 (p = 0.158 and p = 0.399, respectively), and OSA≥30 (p = 0.388 and p = 0.903, respectively). In the NBS cohort, No-Apnea had similar discrimination to STOP-Bang and NoSAS for predicting OSA≥5 (p = 0.528 and p = 0.428, respectively), OSA≥15 (p = 0.825 and p = 0.108, respectively), and OSA≥30 (p = 0.458 and p = 0.186, respectively). Moreover, No-Apnea performed significantly better than ESS in both BS and NBS cohorts (p < 0.001).
CONCLUSIONS: No-Apnea is a useful and practical tool for screening of OSA in morbidly obese patients, with non-inferior performance to STOP-Bang questionnaire and NoSAS score.

Entities:  

Keywords:  Obesity; Obstructive sleep apnea; Polysomnography; Screening

Year:  2019        PMID: 30734890     DOI: 10.1007/s11325-019-01791-w

Source DB:  PubMed          Journal:  Sleep Breath        ISSN: 1520-9512            Impact factor:   2.816


  30 in total

1.  Validation of NoSAS score for screening of sleep-disordered breathing in a multiethnic Asian population.

Authors:  Adeline Tan; Yueheng Hong; Linda W L Tan; Rob M van Dam; Yan Yi Cheung; Chi-Hang Lee
Journal:  Sleep Breath       Date:  2017-01-07       Impact factor: 2.816

2.  Predictive abilities of the STOP-Bang and Epworth Sleepiness Scale in identifying sleep clinic patients at high risk for obstructive sleep apnea.

Authors:  Kimberly D Vana; Graciela E Silva; Rochelle Goldberg
Journal:  Res Nurs Health       Date:  2012-09-24       Impact factor: 2.228

3.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1983-09       Impact factor: 11.105

4.  Neck and total body fat deposition in nonobese and obese patients with sleep apnea compared with that in control subjects.

Authors:  I L Mortimore; I Marshall; P K Wraith; R J Sellar; N J Douglas
Journal:  Am J Respir Crit Care Med       Date:  1998-01       Impact factor: 21.405

5.  Prevalence and associated factors of obstructive sleep apnea in morbidly obese patients undergoing bariatric surgery.

Authors:  Weerapat Kositanurit; Dittapol Muntham; Suthep Udomsawaengsup; Naricha Chirakalwasan
Journal:  Sleep Breath       Date:  2017-04-11       Impact factor: 2.816

6.  Rules for scoring respiratory events in sleep: update of the 2007 AASM Manual for the Scoring of Sleep and Associated Events. Deliberations of the Sleep Apnea Definitions Task Force of the American Academy of Sleep Medicine.

Authors:  Richard B Berry; Rohit Budhiraja; Daniel J Gottlieb; David Gozal; Conrad Iber; Vishesh K Kapur; Carole L Marcus; Reena Mehra; Sairam Parthasarathy; Stuart F Quan; Susan Redline; Kingman P Strohl; Sally L Davidson Ward; Michelle M Tangredi
Journal:  J Clin Sleep Med       Date:  2012-10-15       Impact factor: 4.062

7.  Are the Epworth Sleepiness Scale and Stop-Bang model effective at predicting the severity of obstructive sleep apnoea (OSA); in particular OSA requiring treatment?

Authors:  Binita Panchasara; Alan J Poots; Gary Davies
Journal:  Eur Arch Otorhinolaryngol       Date:  2017-08-30       Impact factor: 2.503

8.  Perioperative Risks of Untreated Obstructive Sleep Apnea in the Bariatric Surgery Patient: a Retrospective Study.

Authors:  Wing Tai Kong; Shawn Chopra; Michael Kopf; Carlos Morales; Shahzad Khan; Keith Zuccala; Laura Choi; John Chronakos
Journal:  Obes Surg       Date:  2016-12       Impact factor: 4.129

9.  Simplifying the Screening of Obstructive Sleep Apnea With a 2-Item Model, No-Apnea: A Cross-Sectional Study.

Authors:  Ricardo L M Duarte; Marcelo F Rabahi; Flavio J Magalhães-da-Silveira; Tiago S de Oliveira-E-Sá; Fernanda C Q Mello; David Gozal
Journal:  J Clin Sleep Med       Date:  2018-07-15       Impact factor: 4.062

10.  Validation of the STOP-Bang questionnaire as a means of screening for obstructive sleep apnea in adults in Brazil.

Authors:  Ricardo Luiz de Menezes Duarte; Lorena Barbosa de Moraes Fonseca; Flavio José Magalhães-da-Silveira; Erika Aparecida da Silveira; Marcelo Fouad Rabahi
Journal:  J Bras Pneumol       Date:  2017 Nov-Dec       Impact factor: 2.624

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  8 in total

1.  Predicting Obstructive Sleep Apnea in Patients with Insomnia: A Comparative Study with Four Screening Instruments.

Authors:  Ricardo L M Duarte; Flavio J Magalhães-da-Silveira; Tiago S Oliveira-E-Sá; Marcelo F Rabahi; Fernanda C Q Mello; David Gozal
Journal:  Lung       Date:  2019-05-10       Impact factor: 2.584

2.  Screening for Obstructive Sleep Apnea in a Diverse Bariatric Surgery Population.

Authors:  Kimberly Y Kreitinger; Macy M S Lui; Robert L Owens; Christopher N Schmickl; Eduardo Grunvald; Santiago Horgan; Janna R Raphelson; Atul Malhotra
Journal:  Obesity (Silver Spring)       Date:  2020-11       Impact factor: 5.002

3.  Effects of age and sex on the performance of the NoSAS score as a screening tool for obstructive sleep apnea: a hospital-based retrospective study in China.

Authors:  Zhigang Zhang; Dan Yang; Haiying Wang; Xinmin Liu
Journal:  Sleep Breath       Date:  2020-11-21       Impact factor: 2.816

4.  Prediction of obstructive sleep apnea: comparative performance of three screening instruments on the apnea-hypopnea index and the oxygen desaturation index.

Authors:  Christianne C A F M Veugen; Emma M Teunissen; Leontine A S den Otter; Martijn P Kos; Robert J Stokroos; Marcel P Copper
Journal:  Sleep Breath       Date:  2020-10-24       Impact factor: 2.816

5.  Validation of the GOAL Questionnaire as an Obstructive Sleep Apnea Screening Instrument in Bariatric Surgery Candidates: a Brazilian Single-Center Study.

Authors:  Ricardo L M Duarte; Flavio J Magalhães-da-Silveira; David Gozal
Journal:  Obes Surg       Date:  2020-08-04       Impact factor: 4.129

6.  Epigenetics dysfunction in morbid obesity with or without obstructive sleep apnoea: the EPIMOOSA study.

Authors:  Javier Lázaro; Paloma Clavería; Carmen Cabrejas; José Fernando; Berta Daga; Beatriz Ordoñez; Silvia Segura; David Sanz-Rubio; José M Marín
Journal:  Respir Res       Date:  2020-02-04

7.  Obstructive Sleep Apnea Screening with a 4-Item Instrument, Named GOAL Questionnaire: Development, Validation and Comparative Study with No-Apnea, STOP-Bang, and NoSAS.

Authors:  Ricardo Lm Duarte; Flavio J Magalhães-da-Silveira; Tiago S Oliveira-E-Sá; Joana A Silva; Fernanda Cq Mello; David Gozal
Journal:  Nat Sci Sleep       Date:  2020-01-23

8.  Development and Validation of a Nomogram for Predicting Obstructive Sleep Apnea in Bariatric Surgery Candidates.

Authors:  Wenhui Chen; Jia Feng; Yucheng Wang; Cunchuan Wang; Zhiyong Dong
Journal:  Nat Sci Sleep       Date:  2021-06-29
  8 in total

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