FACTORS INFLUENCING THE APNEA-HYPONEA INDEX (AHI) IN PATIENTS WITH OBSTRUCTIVE SLEEP APNEA AT RESPIRATORY OUTPATIENT CLINICS OF TAM ANH HOSPITAL
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Abstract
Background: Obstructive sleep apnea syndrome is a common disease that is diagnosed by clinical symptoms, signs and by polysomnography or by respiratory polygraphy1. AHI is an index used to assess the severity of sleep apnea syndrome. There are many factors affecting the apnea-hypopnea index. Understanding these factors plays an important role in helping clinicians improve the effectiveness of diagnosis and treatment of obstructive sleep apnea. Objectives: To assess factors influencing the apnea-hyponea index (AHI) in patients with obstructive sleep apnea. Subjects and Methods: A cross-sectional study was carried 57 patients with obstructive sleep apnea syndrome at Tam Anh hospital from march, 2021 to february, 2023. Results: An average apnea-hypopnea index of 35,1 ± 24,16 (n=57). 77,2% of patients have moderate to severe AHI. AHI correlated moderately with neck circumference (r = 0,523; p < 0,001), body mass index (r = 0,359; p < 0,01), oxygen saturation below 90% in total sleep time (r = 0,491; p < 0,01), average SpO2 (r = -0,425; p < 0,01), SpO2 nadir (r = -0,584; p < 0,001). The mean AHI value was significantly higher in supine position compared to in non-supine positions (p < 0,001). Conclusion: AHI is associated with some factors such as: Neck circumference, body mass index, oxygen saturation during sleep, sleeping body posture. Therefore, it is necessary to evaluate comprehensively obstructive sleep apnoea syndrome and to treat promptly patients.
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Keywords
Obstructive sleep apnoea syndrome, apnoea-hypopnoea index, OSA, AHI.
References
2. Collop NA, Anderson WM, Boehlecke B, et al. Clinical guidelines for the use of unattended portable monitors in the diagnosis of obstructive sleep apnea in adult patients. Portable Monitoring Task Force of the American Academy of Sleep Medicine. Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine. 2007;3(7):737-747.
3. Tufik S, Santos-Silva R, Taddei JA, Bittencourt LR. Obstructive sleep apnea syndrome in the Sao Paulo Epidemiologic Sleep Study. Sleep Med. 2010;11(5):441-446.
4. Gharib A, Loza S. Factors affecting the severity of the apnea hypoapnea index: a retrospective study on 838 Egyptian patients diagnosed with obstructive sleep apnea. The Egyptian Journal of Bronchology. 2020;14(1):34.
5. Kim SE PB, Park SH,. Predictors for Presence and Severity of Obstructive Sleep Apnea in Snoring Patients: Significance of Neck Circumference. J Sleep Med. 2015;12(2):34-38.
6. Bozkurt MK, Oy A, Aydin D, et al. Gender differences in polysomnographic findings in Turkish patients with obstructive sleep apnea syndrome. Eur Arch Otorhinolaryngol. 2008;265(7):821-824.
7. Guimarães C, Martins MV, Vaz Rodrigues L, Teixeira F, Moutinho Dos Santos J. Epworth Sleepiness Scale in obstructive sleep apnea syndrome--an underestimated subjective scale. Revista portuguesa de pneumologia. 2012;18(6):267-271.
8. Akita Y, Kawakatsu K, Hattori C, Hattori H, Suzuki K, Nishimura T. Posture of Patients with Sleep Apnea During Sleep. Acta oto-laryngologica. 2003;123(543):41-45.
9. Wang L, Wei DH, Zhang J, Cao J. Time Under 90% Oxygen Saturation and Systemic Hypertension in Patients with Obstructive Sleep Apnea Syndrome. Nature and science of sleep. 2022;14:2123-2132.