Literature DB >> 33128176

Predictive ability of the International Classification of Sleep Disorders-3 in identifying risk of obstructive sleep apnea among recently unemployed adults.

Graciela E Silva1, Darlynn M Rojo-Wissar2,3, Stuart F Quan4, Patricia L Haynes2.   

Abstract

BACKGROUND: The International Classification of Sleep Disorders (ICSD)-3 was developed to aid in the identification of these disorders. The core criterion A (ICSD-3A) to identify obstructive sleep apnea (OSA) requires the presentence of specific signs and symptoms. This study explores the predictive ability of the ICSD-3A for OSA as compared with objective measures of respiratory event index (REI). PARTICIPANTS: A total of 291 participants who completed a home sleep apnea test (HSAT) during the screening evaluation of the Assessing Daily Activity Patterns through occupational Transitions (ADAPT) study were included.
METHODS: Participants were classified as having mild OSA (REI ≥ 5 and < 15), moderate (≥ 15 to < 30), or severe OSA (> 30). Predictive parameters identifying participants as having OSA by the ICSD-3A criteria were assessed using REI classifications as the reference standard and further compared with a subsample using the STOP-Bang questionnaire.
RESULTS: The ICSD-3A had a sensitivity of 19.2% for identifying participants as having moderate to severe OSA and specificity of 84.4%. The ICSD-3A had a receiver operating characteristics (ROC) = 0.53. On the subsample of participants, the STOP-Bang questionnaire's ROC is 0.61. Results were similar when examining the classification of participants with mild compared with no OSA.
CONCLUSION: In this population, the ability of the ICSD-3A in detecting moderate to severe OSA as well as mild OSA was low. The ROC for the ICSD-3 did not differ significantly from the STOP-Bang questionnaire's ROC in this research population.
© 2020. Springer Nature Switzerland AG.

Entities:  

Keywords:  International Classification of Sleep Disorders; Job loss; Obstructive sleep apnea; Sleep

Mesh:

Year:  2020        PMID: 33128176      PMCID: PMC8409276          DOI: 10.1007/s11325-020-02210-1

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


  24 in total

1.  Increased incidence of cardiovascular disease in middle-aged men with obstructive sleep apnea: a 7-year follow-up.

Authors:  Yüksel Peker; Jan Hedner; Jeanette Norum; Holger Kraiczi; Jan Carlson
Journal:  Am J Respir Crit Care Med       Date:  2002-07-15       Impact factor: 21.405

2.  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

3.  A simplified model of screening questionnaire and home monitoring for obstructive sleep apnoea in primary care.

Authors:  Ching Li Chai-Coetzer; Nick A Antic; L Sharn Rowland; Peter G Catcheside; Adrian Esterman; Richard L Reed; Helena Williams; Sandra Dunn; R Doug McEvoy
Journal:  Thorax       Date:  2011-01-20       Impact factor: 9.139

Review 4.  Sleep-related breathing disorder.2. Pathophysiology of obstructive sleep apnoea.

Authors:  D P White
Journal:  Thorax       Date:  1995-07       Impact factor: 9.139

5.  STOP-Bang Questionnaire: A Practical Approach to Screen for Obstructive Sleep Apnea.

Authors:  Frances Chung; Hairil R Abdullah; Pu Liao
Journal:  Chest       Date:  2016-01-12       Impact factor: 9.410

6.  [Validation of microMESAM as screening device for sleep disordered breathing].

Authors:  Y Wang; T Teschler; G Weinreich; S Hess; T E Wessendorf; H Teschler
Journal:  Pneumologie       Date:  2003-12

7.  Self-efficacy in sleep apnea: instrument development and patient perceptions of obstructive sleep apnea risk, treatment benefit, and volition to use continuous positive airway pressure.

Authors:  Terri E Weaver; Greg Maislin; David F Dinges; Joel Younger; Charles Cantor; Susan McCloskey; Allan I Pack
Journal:  Sleep       Date:  2003-09       Impact factor: 5.849

8.  Clinical diagnoses in 216 insomnia patients using the International Classification of Sleep Disorders (ICSD), DSM-IV and ICD-10 categories: a report from the APA/NIMH DSM-IV Field Trial.

Authors:  D J Buysse; C F Reynolds; D J Kupfer; M J Thorpy; E Bixler; R Manfredi; A Kales; A Vgontzas; E Stepanski; T Roth
Journal:  Sleep       Date:  1994-10       Impact factor: 5.849

9.  Validation of the ApneaLink for the screening of sleep apnea: a novel and simple single-channel recording device.

Authors:  Milton K Erman; Deirdre Stewart; Daniel Einhorn; Nancy Gordon; Eileen Casal
Journal:  J Clin Sleep Med       Date:  2007-06-15       Impact factor: 4.062

10.  Longitudinal assessment of daily activity patterns on weight change after involuntary job loss: the ADAPT study protocol.

Authors:  Patricia L Haynes; Graciela E Silva; George W Howe; Cynthia A Thomson; Emily A Butler; Stuart F Quan; Duane Sherrill; Molly Scanlon; Darlynn M Rojo-Wissar; Devan N Gengler; David A Glickenstein
Journal:  BMC Public Health       Date:  2017-10-10       Impact factor: 3.295

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.