CLINICAL AND ANATOMICAL FACTORS ASSOCIATED WITH OBSTRUCTIVE SLEEP APNEA SEVERITY IN CHILDREN: A PROSPECTIVE PRELIMINARY STUDY

  • Adrijana Ugrinoska Pandeva Public Health Institution University Clinic for Respiratory Diseases in Children Kozle, North Macedonia
  • Tatjana Jakjovska Maretti Public Health Institution University Clinic for Respiratory Diseases in Children Kozle, North Macedonia, Faculty of Medicine, Ss. Cyril and Methodius University in Skopje, North Macedonia
  • Katerina Boshkovska Public Health Institution University Clinic for Respiratory Diseases in Children Kozle, North Macedonia, Faculty of Medicine, Ss. Cyril and Methodius University in Skopje, North Macedonia
  • Vesna Dzambazovska Public Health Institution University Clinic for Respiratory Diseases in Children Kozle, North Macedonia

Abstract

Abstract


Introduction: Pediatric obstructive sleep apnea (OSA) is a multifactorial disorder characterized by recurrent upper airway obstruction during sleep, leading to intermittent hypoxia and sleep fragmentation. Although adenotonsillar hypertrophy is the primary anatomical risk factor, disease severity may be influenced by additional variables including age, obesity and allergic status. Objective: To evaluate the association between adenotonsillar hypertrophy, age, body mass index (BMI), allergic status and OSA severity measured by the apnea-hypopnea index (AHI). Methods: A prospective analytical study was conducted in a preliminary cohort of 26 children aged 3-14 years with suspected OSA. Participants underwent overnight cardiorespiratory polygraphy, otorhinolaryngological assessment including Brodsky tonsillar grading and endoscopic adenoid grading, anthropometric evaluation, allergy history assessment and completion of the Pediatric Sleep Questionnaire (PSQ). Associations between clinical variables and AHI were analyzed using nonparametric statistical methods. Results: Mild OSA predominated (88.5%). No significant associations were observed between AHI and adenotonsillar hypertrophy grade, age, BMI or allergic status. A significant positive correlation was identified between PSQ total score and AHI (p 0.023). Conclusion: In this preliminary cohort, OSA severity was not significantly associated with anatomical hypertrophy, age, obesity or allergic status. Symptom burden assessed by PSQ correlated with objective disease severity, supporting its value as a screening tool. Larger studies are required to clarify the multifactorial determinants of pediatric OSA severity.


Keywords: pediatric OSA, adenotonsillar hypertrophy, BMI, allergy, AHI

References

1. Kaditis AG, Alonso Alvarez ML, Boudewyns A, Alexopoulos EI, Ersu R, Joosten K, et al. Obstructive sleep disordered breathing in 2- to 18-year-old children: diagnosis and management. Eur Respir J. 2015;47(1):69-94.
2. Savini S, Ciorba A, Bianchini C, Stomeo F, Corazzi V, Vicini C, Pelucchi S. Assessment of obstructive sleep apnoea (OSA) in children: an update. Acta Otorhinolaryngol Ital. 2019;39(5):289–97.
3. Kaditis AG, Kheirandish-Gozal L, Gozal D. Algorithm for the diagnosis and treatment of pediatric OSA: a proposal of two pediatric sleep centers. Sleep Med. 2012;13(3):217-227.
4. Marcus CL, Brooks LJ, Draper KA, Gozal D, Halbower AC, Jones J, et al. Diagnosis and management of childhood obstructive sleep apnea syndrome. Pediatrics. 2012;130(3):576-584.
5. Schwengel DA, Dalesio NM, Stierer TL. Pediatric obstructive sleep apnea. Anesthesiol Clin. 2014;32(1):237–261.
6. Katz ES, D'Ambrosio CM. Pathophysiology of pediatric obstructive sleep apnea. Proc Am Thorac Soc. 2008;5(2):253–262.
7. Jones E. Epidemiology of Childhood Sleep Apnea [Internet]. In: Obstructive Sleep Apnea - New Insights in the 21st Century. IntechOpen; 2023 [cited 2025 Apr 22]. Available from: https://www.intechopen.com/
8. Bixler EO, Vgontzas AN, Lin HM, et al. Sleep disordered breathing in children in a general population sample: prevalence and risk factors. Sleep. 2009;32(6):731–736.
9. Kang KT, Chou CH, Weng WC, Lee PL, Hsu WC. Associations between Adenotonsillar Hypertrophy, Age, and Obesity in Children with Obstructive Sleep Apnea. PLoS One. 2013;8(10):e78666.
10. Dékány L, Molnár V, Molnár A, Bikov A, Lázár Z, Bárdos-Csenteri O, Benedek P. Analysis of possible risk factors for the severity of paediatric obstructive sleep apnoea syndrome. Eur Arch Otorhinolaryngol. 2023 Dec;280(12):5607-5614.
11. Xu Z, Wu Y, Tai J, Feng G, Ge W, Zheng L, Zhou Z, Ni X. Risk factors of obstructive sleep apnea syndrome in children. J Otolaryngol Head Neck Surg. 2020 Mar 4;49(1):11.
12. Tamanyan K, Walter LM, Davey MJ, Nixon GM, Horne RS, Biggs SN. Risk factors for obstructive sleep apnoea in Australian children. J Paediatr Child Health. 2016 May;52(5):512-7.
13. Scholle S, Wiater A, Scholle HC. Normative values of polysomnographic parameters in childhood and adolescence: cardiorespiratory parameters. Sleep Med. 2011;12(9):988–96.
14. Marcus CL, Traylor J, Biggs SN, et al. Feasibility of comprehensive, unattended ambulatory polysomnography in school-aged children. J Clin Sleep Med. 2014;10(8):913–8.
15. Alonso-Alvarez ML, Teran-Santos J, Ordax Carbajo E, et al. Reliability of home respiratory polygraphy for the diagnosis of sleep apnea in children. Chest. 2015;147(4):1020–8.
16. Horwood L, Brouillette RT, McGregor CD, et al.Testing for pediatric obstructive sleep apnea when health care resources are rationed. J Otolaryngol Head Neck Surg. 2014;140(5):616–23.
17. Certal V, Camacho M, Winck JC, et al. Unattended sleep studies in pediatric OSA: a systematic review and meta-analysis. Laryngoscope. 2015;125(1):255–62.
18. Centers for Disease Control and Prevention (CDC). Growth charts for children and adolescents [Internet]. Atlanta (GA): CDC; [updated 2022 Jun 16; cited 2025 Apr 22]. Available from: https://www.cdc.gov/growthcharts/clinical_charts.htm
19. Mitchell RB, Garetz S, Moore RH, et al. The use of clinical parameters to predict obstructive sleep apnea syndrome severity in children: the childhood adenotonsillectomy (CHAT) study randomized clinical trial. Otolaryngol Head Neck Surg. 2015;141(1):130–6.
20. Howard NS, Brietzke SE. Pediatric tonsil size: objective vs subjective measurements correlated to overnight polysomnogram. Otolaryngol Head Neck Surg. 2009;140(5):675–81.
21. Li AM, Wong E, Kew J, et al. Use of tonsil size in the evaluation of obstructive sleep apnoea. Arch Dis Child. 2002;87(2):156–9.
22. Casale M, Trecca EMC, Mele DA, Cassano P, Gelardi M. Update of endoscopic classification system of adenoid hypertrophy based on clinical experience on 7621 children. Acta Otorhinolaryngol Ital. 2022;42(3):257–64.
23. Chervin RD, Hedger K, Dillon JE, Pituch KJ. Pediatric sleep questionnaire (PSQ): validity and reliability of scales for sleep-disordered breathing, snoring, sleepiness, and behavioral problems. Sleep Med. 2000;1(1):21–32.
24. Chervin RD, Weatherly RA, Garetz SL, et al. Pediatric sleep questionnaire: prediction of sleep apnea and outcomes. Arch Otolaryngol Head Neck Surg. 2007;133(3):216–22.
25. Gomes DS, Seixas C, Cravo J. Performance of the Alice PDx Device With the Somnolyzer Automated Scoring Algorithm for the Diagnosis of Obstructive Sleep Apnea. Cureus. 2024;16(1):e52654.
Published
2026-05-22
How to Cite
UGRINOSKA PANDEVA, Adrijana et al. CLINICAL AND ANATOMICAL FACTORS ASSOCIATED WITH OBSTRUCTIVE SLEEP APNEA SEVERITY IN CHILDREN: A PROSPECTIVE PRELIMINARY STUDY. Journal of Morphological Sciences, [S.l.], v. 9, n. 2, p. 89-95, may 2026. ISSN 2545-4706. Available at: <https://jms.mk/jms/article/view/vol9no2-11>. Date accessed: 23 may 2026.
Section
Articles