1887
  1. Home
  2. A-Z Publications
  3. Qatar Medical Journal
  4. Volume 2022, Issue 1
  5. Article
Volume 2022, Issue 1
  • ISSN: 0253-8253
  • EISSN: 2227-0426

Abstract

Background: Polysomnography is the gold standard diagnostic method for obstructive sleep apnea syndrome, and on-time treatment can help prevent further complications of obstructive sleep apnea. However, polysomnography is associated with some difficulties for the patients and physicians, which hinder its application. This study aimed to evaluate the clinical features and polysomnography findings of patients with obstructive sleep apnea.

Methods: Data were retrospectively collected from polysomnography studies at the Sleep Laboratory of Namazi Hospital, Shiraz, Iran, from February 2013 to December 2017. Polysomnography was performed for any patients suspected of obstructive sleep apnea. The researcher reviewed the data extracted and selected the essential clinical features for the statistical analysis. The association of variables with the polysomnography findings was analyzed.

Results: Significant associations were observed between the following factors and severity of obstructive sleep apnea: older age (p = 0.01), snoring (p = 0.122), history of sleep disorders (p = 0.11), no sedatives before sleep (p = 0.039), nocturia (p = 0.001), apnea (p = 0.035), no smoking (p = 0.039), no substance abuse (p = 0.011), hypertension (p = 0.001), cardiac diseases (p = 0.025), and overweight and obesity (p < 0.001).

Conclusion: Considering the concomitant occurrence of obstructive sleep apnea with obesity, hypertension, cardiac disease, snoring, and observed apnea, polysomnography is recommended in these patients before further assessments.

© 2022 Mehrabi, Bagheri, licensee HBKU Press.
Loading

Article metrics loading...

/content/journals/10.5339/qmj.2022.14
2022-03-02
2024-12-21
Loading full text...

Full text loading...

/deliver/fulltext/qmj/2022/1/qmj.2022.14.html?itemId=/content/journals/10.5339/qmj.2022.14&mimeType=html&fmt=ahah

References

  1. Kairaitis K, Wheatley J. Chapter 10. Clinical features of adult obstructive sleep apnoea and pathophysiology of upper airway obstruction. In: Mansfield DR. Sleep medicine. Australia: IP Publishing Communications, Pty Ltd; 2017.
     [Google Scholar]
  2. Franklin KA, Lindberg E. Obstructive sleep apnea is a common disorder in the population—a review on the epidemiology of sleep apnea. J Thorac Dis. 2015; 7:(8):1311–22. doi:10.3978/j.issn.2072-1439.2015.06.11, PMID 26380759.
     [Google Scholar]
  3. Park JG, Ramar K, Olson EJ, editors. Updates on definition, consequences, and management of obstructive sleep apnea. Mayo Clin Proc. 2011; 86:(6):549–54; quiz 554. doi:10.4065/mcp.2010.0810, PMID 21628617.
     [Google Scholar]
  4. Wang X, Bi Y, Zhang Q, Pan F. Obstructive sleep apnoea and the risk of type 2 diabetes: a meta-analysis of prospective cohort studies. Respirology. 2013; 18:(1):140–6. doi:10.1111/j.1440-1843.2012.02267.x, PMID 22988888.
     [Google Scholar]
  5. Drager LF, Polotsky VY, Lorenzi-Filho G. Obstructive sleep apnea: an emerging risk factor for atherosclerosis. Chest. 2011; 140:(2):534–42. doi:10.1378/chest.10-2223, PMID 21813534.
     [Google Scholar]
  6. Shah NA, Yaggi HK, Concato J, Mohsenin V. Obstructive sleep apnea as a risk factor for coronary events or cardiovascular death. Sleep Breath. 2010; 14:(2):131–6. doi:10.1007/s11325-009-0298-7, PMID 19777281.
     [Google Scholar]
  7. Loke YK, Brown JWL, Kwok CS, Niruban A, Myint PK. Association of obstructive sleep apnea with risk of serious cardiovascular events: a systematic review and meta-analysis. Circ Cardiovasc Qual Outcomes. 2012; 5:(5):720–8. doi:10.1161/CIRCOUTCOMES.111.964783, PMID 22828826.
     [Google Scholar]
  8. Ejaz SM, Khawaja IS, Bhatia S, Hurwitz TD. Obstructive sleep apnea and depression: a review. Innov Clin Neurosci. 2011; 8:(8):17–25. PMID 21922066.
     [Google Scholar]
  9. Chen YH, Keller JK, Kang JH, Hsieh HJ, Lin HC. Obstructive sleep apnea and the subsequent risk of depressive disorder: a population-based follow-up study. J Clin Sleep Med. 2013; 9:(5):417–23. doi:10.5664/jcsm.2652, PMID 23674930.
     [Google Scholar]
  10. Bashir A, Henningfeld JK, Thompson NE, D'Andrea LA. Polysomnography provides useful clinical information in the liberation from respiratory technology: a retrospective review. Pediatr Pulmonol. 2018; 53:(11):1549–58. doi:10.1002/ppul.24164, PMID 30350930.
     [Google Scholar]
  11. Roebuck A, Monasterio V, Gederi E, Osipov M, Behar J, Malhotra A, Penzel T, Clifford GD. A review of signals used in sleep analysis. Physiol Meas. 2014; 35:(1):R1–57. doi:10.1088/0967-3334/35/1/R1, PMID 24346125.
     [Google Scholar]
  12. El Shayeb M, Topfer LA, Stafinski T, Pawluk L, Menon D. Diagnostic accuracy of level 3 portable sleep tests versus level 1 polysomnography for sleep-disordered breathing: a systematic review and meta-analysis. CMAJ. 2014; 186:(1):E25–51. doi:10.1503/cmaj.130952, PMID 24218531.
     [Google Scholar]
  13. Segarra Isern F, Miró NR, Sancho EE. [Polysomnography and other sleep studies]. Acta Otorrinolaringol Esp. 2010; 61;:Suppl 1:45–8. doi:10.1016/S0001-6519(10)71245-0, PMID 21354493.
     [Google Scholar]
  14. Iber C. The AASM manual for the scoring of sleep and associated events: rules. Terminology and Technical Specification. Westchester, IL: American Academy of Sleep Medicine; 2007.
     [Google Scholar]
  15. Cecatto SB, Monteiro-Soares M, Henriques T, Monteiro E, Moura CI. Derivation of a clinical decision rule for predictive factors for the development of pharyngocutaneous fistula postlaryngectomy. Braz J Otorhinolaryngol. 2015; 81:(4):394–401. doi:10.1016/j.bjorl.2014.09.009, PMID 26145251.
     [Google Scholar]
  16. Concato J, Feinstein AR, Holford TR. The risk of determining risk with multivariate methods. Ann Intern Med. 1993; 118:(3):201–10. doi:10.7326/0003-4819-118-3-199302010-00009, PMID 8417638.
     [Google Scholar]
  17. Hu Y, Xiong CL, Zhang ZJ, Bergquist R, Wang ZL, Gao J, Li R, Tao B, Jiang QL, Jiang Q. Comparison of data-fitting models for schistosomiasis: a case study in Xingzi, China. Geospat Health. 2013; 8:(1):125–32. doi:10.4081/gh.2013.60, PMID 24258889.
     [Google Scholar]
  18. Li Y, Yan J, Li M, Xiao Z, Zhu X, Pan J, Li X, Feng X. Addition of SNAP to perinatal risk factors improves the prediction of bronchopulmonary dysplasia or death in critically ill preterm infants. BMC Pediatr. 2013;13:138. doi:10.1186/1471-2431-13-138, PMID 24020335.
     [Google Scholar]
  19. Wimms A, Woehrle H, Ketheeswaran S, Ramanan D, Armitstead J. Obstructive sleep apnea in women: specific issues and interventions. BioMed Res Int. 2016;2016:1764837. doi:10.1155/2016/1764837.
     [Google Scholar]
  20. Lin CM, Davidson TM, Ancoli-Israel S. Gender differences in obstructive sleep apnea and treatment implications. Sleep Med Rev. 2008; 12:(6):481–96. doi:10.1016/j.smrv.2007.11.003, PMID 18951050.
     [Google Scholar]
  21. Bonsignore MR, Saaresranta T, Riha RL. Sex differences in obstructive sleep apnoea. Eur Respir Rev. 2019; 28:(154). doi:10.1183/16000617.0030-2019, PMID 31694839.
     [Google Scholar]
  22. McMillan A, Morrell MJ. Sleep disordered breathing at the extremes of age: the elderly. Breathe (Sheff). 2016; 12:(1):50–60. doi:10.1183/20734735.003216, PMID 27064674.
     [Google Scholar]
  23. Hongyo K, Ito N, Yamamoto K, Yasunobe Y, Takeda M, Oguro R, Takami Y, Takeya Y, Sugimoto K, Rakugi H. Factors associated with the severity of obstructive sleep apnea in older adults. Geriatr Gerontol Int. 2017; 17:(4):614–21. doi:10.1111/ggi.12768, PMID 27246824.
     [Google Scholar]
  24. Deng X, Gu W, Li Y, Liu M, Li Y, Gao X. Age-group-specific associations between the severity of obstructive sleep apnea and relevant risk factors in male and female patients. PLOS ONE. 2014; 9:(9):e107380. doi:10.1371/journal.pone.0107380, PMID 25211035.
     [Google Scholar]
  25. Wall H, Smith C, Hubbard R. Body mass index and obstructive sleep apnoea in the UK: a cross-sectional study of the over-50s. Prim Care Respir J. 2012; 21:(4):371–6. doi:10.4104/pcrj.2012.00053, PMID 22751736.
     [Google Scholar]
  26. Romero-Corral A, Caples SM, Lopez-Jimenez F, Somers VK. Interactions between obesity and obstructive sleep apnea: implications for treatment. Chest. 2010; 137:(3):711–9. doi:10.1378/chest.09-0360, PMID 20202954.
     [Google Scholar]
  27. Romero E, Krakow B, Haynes P, Ulibarri V. Nocturia and snoring: predictive symptoms for obstructive sleep apnea. Sleep Breath. 2010; 14:(4):337–43. doi:10.1007/s11325-009-0310-2, PMID 19865841.
     [Google Scholar]
  28. Wang T, Huang W, Zong H, Zhang Y. The efficacy of continuous positive airway pressure therapy on nocturia in patients with obstructive sleep apnea: a systematic review and meta-analysis. Int Neurourol J. 2015; 19:(3):178–84. doi:10.5213/inj.2015.19.3.178, PMID 26620900.
     [Google Scholar]
  29. Riha RL. Clinical assessment of the obstructive sleep apnoea/hypopnoea syndrome. Ther Adv Respir Dis. 2010; 4:(2):83–91. doi:10.1177/1753465810365080, PMID 20388723.
     [Google Scholar]
  30. De Backer WB. Obstructive sleep apnea/hypopnea syndrome. Panminerva med. 2013; 55:(2):191–5. PMID 23676959.
     [Google Scholar]
  31. Roux FJ. Restless legs syndrome: impact on sleep-related breathing disorders. Respirology. 2013; 18:(2):238–45. doi:10.1111/j.1440-1843.2012.02249.x, PMID 22882720.
     [Google Scholar]
  32. Podlipnik M, Sarc I, Ziherl K. Restless leg syndrome is common in patients with obstructive sleep apnoea. Eur Res J Open Research. 2017; 3;:Suppl 1:20. doi:10.1183/23120541.sleepandbreathing-2017.P20.
     [Google Scholar]
  33. Myc LA, Churnin IT, Jameson MJ, Davis EM. Treatment of comorbid obstructive sleep apnea by upper airway stimulation results in resolution of debilitating symptoms of restless legs syndrome. J Clin Sleep Med. 2018; 14:(10):1797–800. doi:10.5664/jcsm.7400, PMID 30353821.
     [Google Scholar]
  34. Ho ML, Brass SD. Obstructive sleep apnea. Neurol Int. 2011; 3:(3):e15. doi:10.4081/ni.2011.e15, PMID 22368774.
     [Google Scholar]
  35. Abrishami A, Khajehdehi A, Chung F. A systematic review of screening questionnaires for obstructive sleep apnea. Can J Anaesth/Journal canadien d'anesthésie. 2010; 57:(5):423–38. doi:10.1007/s12630-010-9280-x, PMID 20143278.
     [Google Scholar]
  36. Dudenbostel T, Calhoun DA. Resistant hypertension, obstructive sleep apnoea and aldosterone. J Hum Hypertens. 2012; 26:(5):281–7. doi:10.1038/jhh.2011.47, PMID 21654850.
     [Google Scholar]
  37. Pagel JF, Kwiatkowski C. The nightmares of sleep apnea: nightmare frequency declines with increasing apnea hypopnea index. J Clin Sleep Med. 2010; 6:(1):69–73. doi:10.5664/jcsm.27713, PMID 20191941.
     [Google Scholar]
/content/journals/10.5339/qmj.2022.14
Loading
Clinical and polysomnographic characteristics in adults referred to the sleep laboratory: a single-center study
Qatar Medical Journal 2022, 14 (2022); https://doi.org/10.5339/qmj.2022.14
/content/journals/10.5339/qmj.2022.14
/content/journals/10.5339/qmj.2022.14
Loading

Data & Media loading...

Keyword(s): comorbidity, polysomnography, risk factors, sleep apnea syndrome and snoring

Most Cited Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error