Araştırma Makalesi
BibTex RIS Kaynak Göster

PSG Öncesi Horlama Sesi Analiz Parametreleri Obstrüktif Uyku Apne Sendromunun Şiddetini Öngörmede Kullanılabilir mi?

Yıl 2026, Cilt: 18 Sayı: 1 , 18 - 27 , 28.04.2026
https://izlik.org/JA59RR79CX

Öz

Amaç: Horlama semptomu, OSAS hastalarının ana semptomlarından biridir. Bu çalışmada, horlama sesi analizi ile OSAS evreleri arasındaki ilişkinin araştırılması amaçlandı.
Metod: Tüm hastalara tüm gece polisomnografi (PSG) testi uygulandı. Horlama sesi parametreleri, PRAAT akustik analiz yazılımı kullanılarak ölçüldü. Bu parametreler ile OSAS şiddeti ve horlama sesi özellikleri ile OSAS alt tipleri arasındaki ilişkiler prospektif olarak analiz edildi.
Bulgular: Çalışmaya OSAS tanısı almış yetmiş yedi hasta dahil edildi. Shimmer (ses dalgalanması) skorlarının hafif OSAS’tan şiddetli OSAS’a doğru anlamlı şekilde azaldığı bulundu (p = 0.045). Ortalama pitch (perde) skorları hafiften şiddetliye doğru artmasına rağmen, bu fark istatistiksel olarak anlamlı bulunmadı (p = 0.16). Ancak alt grup analizinde, ortalama perde skorunun şiddetli grupta, hafif ve orta şiddetteki gruplara göre anlamlı derecede yüksek olduğu görüldü (p = 0.022). REM-dominant OSAS hastalarında shimmer skorları, REM-dominant olmayanlara göre anlamlı derecede daha yüksekti (p = 0.006). Ayrıca, shimmer skorları obez hastalarda obez olmayanlara göre ve 40 yaş üzeri hastalarda 40 yaş altındakilere göre anlamlı derecede daha yüksekti (sırasıyla p = 0.032; p < 0.01). ROC analizi ile şiddetli OSAS sınıflandırmasını öngörmede ortalama perde için ≥74.65 Hz eşik değeri belirlendi (AUC = 0.69; p = 0.017).
Sonuç: Sonuçlarımız, horlama sesinin akustik ses analizi gibi hızlı ve noninvaziv bir yöntemle analiz edilmesinin, özellikle ivedi olarak tanı konması gereken ileri evre OSAS olgularının PSG öncesi taramasında kolaylıkla uygulanabileceğini göstermesi açısından önemlidir.

Etik Beyan

Çalışma, Ekim 2020 ile Mart 2021 tarihleri ​​arasında Tokat Gaziosmanpaşa Üniversitesi Tıp Fakültesi Uyku Bozuklukları Anabilim Dalı'na başvuran OSAS'lı hastalarda prospektif olarak planlandı. Çalışma öncesinde Tokat Gaziosmanpaşa Üniversitesi Tıp Fakültesi Klinik Araştırmalar Etik Kurulu'ndan (protokol no: 19-KAEK-178, 24.09.2019) yerel etik kurul onayı alındı. PSG testinden önce tüm olgulardan yazılı onam alındı. Bu çalışmada takip edilen raporlama kılavuzu SPIRIT çalışma protokolleridir. Çalışma Helsinki Bildirgesi'nde belirtilen kurallara göre yürütüldü ve tamamlandı.

Destekleyen Kurum

-

Teşekkür

-

Kaynakça

  • Referans 1. Mitra AK, Bhuiyan AR, Jones EA. Association and Risk Factors for Obstructive Sleep Apnea and Cardiovascular Diseases: A Systematic Review. Diseases. 2021;9(4):88.
  • Referans 2. Takama N, Kurabayashi M. Influence of untreated sleep-disordered breathing on the long-term prognosis of patients with cardiovascular disease. American Journal of Cardiology. 2009;103(5):730-4.
  • Referans 3. Vanek J, Prasko J, Genzor S, Ociskova M, Kantor K, Holubova M, et al. Obstructive sleep apnea, depression and cognitive impairment, Review Article. Sleep Medicine 2020; 72: 50-58.
  • Referans 4. Young T, Palta M, Dempsey J, Skatrud J, Weber S, Badr S. The occurrence of sleep-disordered breathing among middle-aged adults. New England Journal of Medicine. 1993;328(17):1230-5.
  • Referans 5. Chen Q, Liang Z, Wang Q, Ma C, Lei Y, Sanderson JE et al. Self-helped detection of obstructive sleep apnea based on automated facial recognition and machine learning. Sleep and Breathing. 2023;27(6):2379-2388.
  • Referans 6. Bhuta T, Patrick L, Garnett JD. Perceptual evaluation of voice quality and its correlation with acoustic measurements. Journal of Voice 2004;18: 299–304.
  • Referans 7. Huang Z, Aarab G, Ravesloot MJL, Zhou N, Bosschieter PFN, van Selms MKA et al. Prediction of the obstruction sites in the upper airway in sleep-disordered breathing based on snoring sound parameters: a systematic review. Sleep Medicine. 2021;88:116-133.
  • Referans 8. Berry RB, Budhiraja R, Gottlieb DJ, Gozal D, Iber C, Kapur VK et al. (2012) Rules for scoring respiratory events in sleep: update of the 2007 AASM manual for the scoring of sleep and associated events. J Clinical Sleep Medicine. 2012;8:597-619.
  • Referans 9. Bieger-Farhan AK, Chadha NK, Camilleri AE, Stone P, McGuinness K. Portable method for the determination of snoring site by sound analysis. Journal of Laryngology & Otology 2004;118: 135–138.
  • Referans 10. J. Sola-Soler, R. Jane, J. A. Fiz and J. Morera, "Pitch analysis in snoring signals from simple snorers and patients with obstructive sleep apnea," Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society) (Engineering in Medicine and Biology, Houston, TX, USA, 2002;2:1527-1528.
  • Referans 11. Aligolzadeh F, Baj P, Dawson JR. Measurements of turbulent decay in a von Kármán flow at high Reynolds numbers. Journal of Fluid Mechanics. 2025;1012:R4.
  • Referans 12. Pevernagie D, Aarts RM, De Meyer M. The acoustics of snoring. Sleep Medicine Reviews. 2010;14(2):131-44.
  • Referans 13. Gürpınar B, Saltürk Z, Kumral TL, Civelek S, Izel O, Uyar Y. Analysis of snoring to determine the site of obstruction in obstructive sleep apnea syndrome. Sleep and Breathing. 2021;25(3):1427-1432.
  • Referans 14. Acar M, Yazıcı D, Bayar Muluk N, Hancı D, Seren E, Cingi C. Is there a relationship between snoringsound intensity and frequency and OSAS severity? Annals of Otology, Rhinology & Laryngology 2016;125:31e6.
  • Referans 15. Wilson K, Stoohs RA, Mulrooney TF, Johnson LJ, Guilleminault C, Huang Z. The snoring spectrum: acoustic assessment of snoring sound intensity in 1,139 individuals undergoing polysomnography. Chest 1999;115(3):762–70.
  • Referans 16. Ben-Israel N, Tarasiuk A, Zigel Y. "Nocturnal sound analysis for the diagnosis of obstructive sleep apnea," 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010:6146-6149.
  • Referans 17. Brockmann M, Storck C, Carding PN, Drinnan MJ. Voice loudness and gender effects on jitter and shimmer in healthy adults. Journal of Speech, Language, and Hearing Research 2008;51(5):1152-60.
  • Referans 18. Hara H, Murakami N, Miyauchi Y, Yamashita H. Acoustic analysis of snoring sounds by a multidimensional voice program. Laryngoscope 2006;116(3):379-81.
  • Referans 19. Mokhlesi B. REM-related obstructive sleep apnea: to treat or not to treat? Journal of Clinical Sleep Medicine. 2012;8(3):249-50.
  • Referans 20. Xue B, Deng B, Hong H, Wang Z, Zhu X, Feng DD. Non-contact sleep stage detection using canonical correlation analysis of respiratory sound. IEEE Journal of Biomedical and Health Informatics 2020;24:614e25.
  • Referans 21. Akhter S, Abeyratne UR, Swarnkar V, Hukins C. Snore Sound Analysis Can Detect the Presence of Obstructive Sleep Apnea Specific to NREM or REM Sleep. Journal of Clinical Sleep Medicine. 2018;14(6):991-1003.
  • Referans 22. Barsties B, Verfaillie R, Roy N, Maryn Y. Do body mass index and fat volume influence vocal quality, phonatory range, and aerodynamics in females? Codas 2013;25(4):310-8.
  • Referans 23. Souza LBR, Santos MMD. Body mass index and acoustic voice parameters: is there a relationship? Brazilian Journal of Otorhinolaryngology 2018;84(4):410-415.
  • Referans 24. Nakano H, Ikeda T, Hayashi M, Ohshima E, Onizuka A. Effects of body position on snoring in apneic and nonapneic snorers. Sleep 2003;26(2):169-72.

Could Snoring Sound Analysis Parameters Be Used To Predict The Severity Of Obstructive Sleep Apnea Syndrome Before PSG?

Yıl 2026, Cilt: 18 Sayı: 1 , 18 - 27 , 28.04.2026
https://izlik.org/JA59RR79CX

Öz

Background/aim: Snoring is one of the main symptoms of obstructive sleep apnea syndrome (OSAS) patients. In this study, it was aimed to investigate the relationship between snoring sound analysis and OSAS stages.
Materials and Methods: All patients underwent full-night PSG test. Sound parameters were measured using the PRAAT acoustic analysis program. The relationship between these parameters and degree of OSAS, and also the relationship between snoring sound and types of OSAS were analyzed prospectively.
Results: Seventy seven patients diagnosed OSAS were included the study. It was found that the shimmer scores decreased significantly from mild OSAS to severe OSAS (p=0.045). Although mean pitch scores increased from mild to severe OSAS, it was not found to be statistically significant (p=0.16). Mean pitch score was found to be significantly higher in the severe group compare to mild and moderate group in subgroup analysis (p=0.022). Shimmer scores were found significantly higher in REM-predominant OSAS patients than without REM-predominant OSAS patients (p=0.006). Shimmer scores were significantly higher in obese patients than in non-obese patients and in patients over 40 years of age years than under 40 years of age (p=0.032; p<0.01; respectively). The ROC analysis was performed to determine the cutoff value of mean Pitch (≥74.65) in predicting severe OSAS classification (AUC=0.69; p=0.017).
Conclusion: Our results are important to show that, analysis of snoring sound with a noninvasive method of acoustic voice analysis, can be applied quickly and easily in the pre-PSG screening in especially clinically important advanced-stage OSAS cases that should be diagnosed urgently.

Etik Beyan

The study was planned prospectively in OSAS patients who were referred to Tokat Gaziosmanpasa University, Faculty of Medicine, Department of Sleep Disorders between October 2020 and March 2021. Local ethics committee approval was obtained from the clinical research ethics committee of the Tokat Gaziosmanpasa University, Faculty of Medicine, (protocol no: 19-KAEK-178, 24.09.2019) prior to the study. Written informed consent was obtained from all subjects before PSG test. The reporting guideline that has been followed in this study is SPIRIT study protocols. The study was conducted and completed according to the rules outlined in the Declaration of Helsinki.

Destekleyen Kurum

-

Teşekkür

-

Kaynakça

  • Referans 1. Mitra AK, Bhuiyan AR, Jones EA. Association and Risk Factors for Obstructive Sleep Apnea and Cardiovascular Diseases: A Systematic Review. Diseases. 2021;9(4):88.
  • Referans 2. Takama N, Kurabayashi M. Influence of untreated sleep-disordered breathing on the long-term prognosis of patients with cardiovascular disease. American Journal of Cardiology. 2009;103(5):730-4.
  • Referans 3. Vanek J, Prasko J, Genzor S, Ociskova M, Kantor K, Holubova M, et al. Obstructive sleep apnea, depression and cognitive impairment, Review Article. Sleep Medicine 2020; 72: 50-58.
  • Referans 4. Young T, Palta M, Dempsey J, Skatrud J, Weber S, Badr S. The occurrence of sleep-disordered breathing among middle-aged adults. New England Journal of Medicine. 1993;328(17):1230-5.
  • Referans 5. Chen Q, Liang Z, Wang Q, Ma C, Lei Y, Sanderson JE et al. Self-helped detection of obstructive sleep apnea based on automated facial recognition and machine learning. Sleep and Breathing. 2023;27(6):2379-2388.
  • Referans 6. Bhuta T, Patrick L, Garnett JD. Perceptual evaluation of voice quality and its correlation with acoustic measurements. Journal of Voice 2004;18: 299–304.
  • Referans 7. Huang Z, Aarab G, Ravesloot MJL, Zhou N, Bosschieter PFN, van Selms MKA et al. Prediction of the obstruction sites in the upper airway in sleep-disordered breathing based on snoring sound parameters: a systematic review. Sleep Medicine. 2021;88:116-133.
  • Referans 8. Berry RB, Budhiraja R, Gottlieb DJ, Gozal D, Iber C, Kapur VK et al. (2012) Rules for scoring respiratory events in sleep: update of the 2007 AASM manual for the scoring of sleep and associated events. J Clinical Sleep Medicine. 2012;8:597-619.
  • Referans 9. Bieger-Farhan AK, Chadha NK, Camilleri AE, Stone P, McGuinness K. Portable method for the determination of snoring site by sound analysis. Journal of Laryngology & Otology 2004;118: 135–138.
  • Referans 10. J. Sola-Soler, R. Jane, J. A. Fiz and J. Morera, "Pitch analysis in snoring signals from simple snorers and patients with obstructive sleep apnea," Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society) (Engineering in Medicine and Biology, Houston, TX, USA, 2002;2:1527-1528.
  • Referans 11. Aligolzadeh F, Baj P, Dawson JR. Measurements of turbulent decay in a von Kármán flow at high Reynolds numbers. Journal of Fluid Mechanics. 2025;1012:R4.
  • Referans 12. Pevernagie D, Aarts RM, De Meyer M. The acoustics of snoring. Sleep Medicine Reviews. 2010;14(2):131-44.
  • Referans 13. Gürpınar B, Saltürk Z, Kumral TL, Civelek S, Izel O, Uyar Y. Analysis of snoring to determine the site of obstruction in obstructive sleep apnea syndrome. Sleep and Breathing. 2021;25(3):1427-1432.
  • Referans 14. Acar M, Yazıcı D, Bayar Muluk N, Hancı D, Seren E, Cingi C. Is there a relationship between snoringsound intensity and frequency and OSAS severity? Annals of Otology, Rhinology & Laryngology 2016;125:31e6.
  • Referans 15. Wilson K, Stoohs RA, Mulrooney TF, Johnson LJ, Guilleminault C, Huang Z. The snoring spectrum: acoustic assessment of snoring sound intensity in 1,139 individuals undergoing polysomnography. Chest 1999;115(3):762–70.
  • Referans 16. Ben-Israel N, Tarasiuk A, Zigel Y. "Nocturnal sound analysis for the diagnosis of obstructive sleep apnea," 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010:6146-6149.
  • Referans 17. Brockmann M, Storck C, Carding PN, Drinnan MJ. Voice loudness and gender effects on jitter and shimmer in healthy adults. Journal of Speech, Language, and Hearing Research 2008;51(5):1152-60.
  • Referans 18. Hara H, Murakami N, Miyauchi Y, Yamashita H. Acoustic analysis of snoring sounds by a multidimensional voice program. Laryngoscope 2006;116(3):379-81.
  • Referans 19. Mokhlesi B. REM-related obstructive sleep apnea: to treat or not to treat? Journal of Clinical Sleep Medicine. 2012;8(3):249-50.
  • Referans 20. Xue B, Deng B, Hong H, Wang Z, Zhu X, Feng DD. Non-contact sleep stage detection using canonical correlation analysis of respiratory sound. IEEE Journal of Biomedical and Health Informatics 2020;24:614e25.
  • Referans 21. Akhter S, Abeyratne UR, Swarnkar V, Hukins C. Snore Sound Analysis Can Detect the Presence of Obstructive Sleep Apnea Specific to NREM or REM Sleep. Journal of Clinical Sleep Medicine. 2018;14(6):991-1003.
  • Referans 22. Barsties B, Verfaillie R, Roy N, Maryn Y. Do body mass index and fat volume influence vocal quality, phonatory range, and aerodynamics in females? Codas 2013;25(4):310-8.
  • Referans 23. Souza LBR, Santos MMD. Body mass index and acoustic voice parameters: is there a relationship? Brazilian Journal of Otorhinolaryngology 2018;84(4):410-415.
  • Referans 24. Nakano H, Ikeda T, Hayashi M, Ohshima E, Onizuka A. Effects of body position on snoring in apneic and nonapneic snorers. Sleep 2003;26(2):169-72.
Toplam 24 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Göğüs Hastalıkları
Bölüm Araştırma Makalesi
Yazarlar

Halil İbrahim Yakar 0000-0002-0973-9173

Handan İnönü Köseoğlu 0000-0002-7901-3466

Kürşat Yelken 0000-0001-8133-2717

Nurcan Alpüran Kocabıyık 0000-0002-4938-1946

Gönderilme Tarihi 13 Ekim 2025
Kabul Tarihi 6 Şubat 2026
Yayımlanma Tarihi 28 Nisan 2026
IZ https://izlik.org/JA59RR79CX
Yayımlandığı Sayı Yıl 2026 Cilt: 18 Sayı: 1

Kaynak Göster

APA Yakar, H. İ., İnönü Köseoğlu, H., Yelken, K., & Alpüran Kocabıyık, N. (2026). Could Snoring Sound Analysis Parameters Be Used To Predict The Severity Of Obstructive Sleep Apnea Syndrome Before PSG? International Journal of Tokat Medical Sciences, 18(1), 18-27. https://izlik.org/JA59RR79CX
AMA 1.Yakar Hİ, İnönü Köseoğlu H, Yelken K, Alpüran Kocabıyık N. Could Snoring Sound Analysis Parameters Be Used To Predict The Severity Of Obstructive Sleep Apnea Syndrome Before PSG? Int J Tokat Med Sci. 2026;18(1):18-27. https://izlik.org/JA59RR79CX
Chicago Yakar, Halil İbrahim, Handan İnönü Köseoğlu, Kürşat Yelken, ve Nurcan Alpüran Kocabıyık. 2026. “Could Snoring Sound Analysis Parameters Be Used To Predict The Severity Of Obstructive Sleep Apnea Syndrome Before PSG?”. International Journal of Tokat Medical Sciences 18 (1): 18-27. https://izlik.org/JA59RR79CX.
EndNote Yakar Hİ, İnönü Köseoğlu H, Yelken K, Alpüran Kocabıyık N (01 Nisan 2026) Could Snoring Sound Analysis Parameters Be Used To Predict The Severity Of Obstructive Sleep Apnea Syndrome Before PSG? International Journal of Tokat Medical Sciences 18 1 18–27.
IEEE [1]H. İ. Yakar, H. İnönü Köseoğlu, K. Yelken, ve N. Alpüran Kocabıyık, “Could Snoring Sound Analysis Parameters Be Used To Predict The Severity Of Obstructive Sleep Apnea Syndrome Before PSG?”, Int J Tokat Med Sci, c. 18, sy 1, ss. 18–27, Nis. 2026, [çevrimiçi]. Erişim adresi: https://izlik.org/JA59RR79CX
ISNAD Yakar, Halil İbrahim - İnönü Köseoğlu, Handan - Yelken, Kürşat - Alpüran Kocabıyık, Nurcan. “Could Snoring Sound Analysis Parameters Be Used To Predict The Severity Of Obstructive Sleep Apnea Syndrome Before PSG?”. International Journal of Tokat Medical Sciences 18/1 (01 Nisan 2026): 18-27. https://izlik.org/JA59RR79CX.
JAMA 1.Yakar Hİ, İnönü Köseoğlu H, Yelken K, Alpüran Kocabıyık N. Could Snoring Sound Analysis Parameters Be Used To Predict The Severity Of Obstructive Sleep Apnea Syndrome Before PSG? Int J Tokat Med Sci. 2026;18:18–27.
MLA Yakar, Halil İbrahim, vd. “Could Snoring Sound Analysis Parameters Be Used To Predict The Severity Of Obstructive Sleep Apnea Syndrome Before PSG?”. International Journal of Tokat Medical Sciences, c. 18, sy 1, Nisan 2026, ss. 18-27, https://izlik.org/JA59RR79CX.
Vancouver 1.Halil İbrahim Yakar, Handan İnönü Köseoğlu, Kürşat Yelken, Nurcan Alpüran Kocabıyık. Could Snoring Sound Analysis Parameters Be Used To Predict The Severity Of Obstructive Sleep Apnea Syndrome Before PSG? Int J Tokat Med Sci [Internet]. 01 Nisan 2026;18(1):18-27. Erişim adresi: https://izlik.org/JA59RR79CX