Preview

PULMONOLOGIYA

Advanced search

Clinical predictors of obstructive sleep apnea syndrome

https://doi.org/10.18093/0869-0189-2013-0-4-82-86

Abstract

Summary. This study was aimed at estimation of the predictive value of clinical and anthropometric data for obstructive sleep apnea syndrome (OSAS). Of 91 subjects, 74 male and 17 female with mean age of 43.3 ± 12.6 yrs underwent respiratory polygraphy with snoring, nasal breathing, oxygen saturation and pulse rate being recorded. Subjects with apnea / hypopnea index (AHI) equal to or higher than 15 were diagnosed with OSAS. Clinical symptoms were revealed by a special questionnaire. Neck circumference, weight / hip ratio, body mass index and Mallampati score were measured. This study reveals a high accuracy of this clinical model for predicting OSAS. This means that the clinical prediction model allows accurate selection patients at high risk of OSAS who may benefit from early diagnosis and treatment of OSAS.

About the Author

M. A. Petrosyan
Научно-медицинский центр "Сурб Нерсес Мец"
Armenia


References

1. Young T., Palta M., Dempsey J. et al. The occurrence of sleep-disordered breathing among middle-aged adults. N. Engl. J. Med. 1993; 328: 1230–1235.

2. Epstein L.J., Kristo D., Strollo P.J. et al. Clinical guideline for the evaluation, management and long-term care of obstructive sleep apnea in adults. Adult obstructive sleep apnea task force of the American Academy of Sleep Medicine. J. Clin. Sleep Мed. 2009; 5 (3): 263–276.

3. Marin J.M., Carnizo S.J., Vicente E., Agusti A.G.N. Longterm cardiovascular outcomes in men with obstructive sleep apnea-hypopnea with or without treatment with continuous positive airway pressure: an observational study. Lancet 2005; 365:1046–1053.

4. Shlosshan D., Elliott M.W. Sleep 3: Clinical presentation and diagnosis of the obstructive sleep apnea hypopnea syndrome. Thorax 2004; 59: 347–352.

5. Kapur V., Blough D.K., Sandblom R.E. et al. The medical cost of undiagnosed sleep apnea. Sleep 1999; 22 (6): 749–755.

6. Guest J.F., Helter M.T., Stradling J.R. Cost-effectiveness of using continuous positive airway pressure in the treatment of severe obstructive sleep apnoea / hypopnoea syndrome in the UK. Thorax 2008; 63: 860–865.

7. Lam B., Lam D.C., Ip M.S. Obstructive sleep apnea in Asia. Int. J. Tuberc. Lung Dis. 2007; 11: 2–11.

8. Mulgrew A.T., Fox N., Ayas N.T., Ryan C.F. Diagnosis and initial management of obstructive sleep apnea without polysomnography: a randomized validation study. Ann. Intern. Med. 2007; 146: 157–166.

9. Andreu A.L., Chiner E., Sancho3Chust J.N. et al. Effect of an ambulatory diagnostic and treatment programme in patients with sleep apnea. Eur. Respir. J. 2012; 39: 305–312.

10. Ramachandran S.K., Josephs L.A. A meta-analysis of clinical screening tests for obstructive sleep apnea. Anesthesiology 2009; 110: 928–939.

11. See3Meng Khoo, Hze3Khoog Poh, Yiong3Huak Chan et al. Diagnostic characteristics of clinical prediction models for obstructive sleep apnea in different clinical populations. Sleep Breath 2011; 15: 431–437.

12. Li K.K., Kushida C., Powell N.B. et al. Obstructive sleep apnea syndrome: a comparison between Far-east Asian and white men. Laryngoscope 2000; 110: 1689–1693.

13. Iber C., Ancoli3Israel S., Chesson A.L., Quan S.F. The AASM manual for the scoring of sleep and associated events: rules, terminology, and technical specifications. 1st ed. Westchester, il.; American Academy of Sleep Medicine; 2007.

14. American Academy of Sleep Medicine. International classification of sleep disorders. Diagnostic and coding manual (ICSD-2). 2nd ed. Westchester, il.; 2005.

15. Fortin M., Soubhi H., Hudon C. et al. Multimorbidity's many challenges. Br. Med. J. 2007; 334: 1016–1017.


Review

For citations:


Petrosyan M.A. Clinical predictors of obstructive sleep apnea syndrome. PULMONOLOGIYA. 2013;(4):82-86. (In Russ.) https://doi.org/10.18093/0869-0189-2013-0-4-82-86

Views: 653


ISSN 0869-0189 (Print)
ISSN 2541-9617 (Online)