Clinical characteristics of non-sleepy obstructive sleep apnea patients: a study in a tertiary care sleep clinic in India

Submitted: April 22, 2024
Accepted: April 23, 2024
Published: May 10, 2024
Abstract Views: 724
PDF_EARLY VIEW: 201
SUPPLEMENTARY MATERIAL: 21
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Obstructive sleep apnea (OSA) encompasses a diverse population, manifesting with or without symptoms of excessive daytime sleepiness. There is contention surrounding the significance of non-sleepy OSA within clinical contexts and whether routine treatment is warranted. This study aims to evaluate epidemiological and clinical distinctions between sleepy and non-sleepy OSA patients. A retrospective analysis was conducted on consecutive patients undergoing polysomnography for OSA assessment at tertiary care hospitals between 2018 and 2023. For 176 of 250 patients, complete polysomnography records with OSA diagnoses were available. Non-sleepy OSA was defined when a patient had an Epworth sleepiness scale score <10 and polysomnography demonstrated an apnea hypopnea index ≥5/hour. Non-sleepy OSA patients were matched with sleepy OSA patients in terms of age and gender distribution (mean age 51.24±13.25 years versus 50.9±10.87 years, male 70.4% versus 73.3%). The sensitivity of STOP-BANG≥3 for the non-sleepy OSA group was 87.7%, 89.3%, and 95.2% for any OSA severity, moderate to severe OSA, and severe OSA, respectively, while the corresponding sensitivity for the sleepy OSA group was 96.5%, 98.6%, and 100% for any OSA severity, moderate to severe OSA, and severe OSA, respectively. A novel symptom scoring tool, HASSUN (hypertension, nocturnal apneas, snoring, sleep disturbance, unrefreshing sleep, and nocturia), demonstrated a sensitivity of over 90% for all severity categories of OSA in both non-sleepy and sleepy OSA groups. The prevalence of cardiovascular and metabolic comorbidities did not significantly differ between non-sleepy and sleepy OSA patients. The physiological parameters, including forced vital capacity (FVC), forced expiratory volume in one second (FEV1), FEV1/FVC ratio, arterial partial pressure of oxygen, and bicarbonate at baseline, were comparable between the two groups. To conclude, non-sleepy OSA patients are less obese, exhibit fewer symptoms, and have less severe OSA in comparison to sleepy OSA. Non-sleepy OSA patients display a similar likelihood of cardiovascular and metabolic comorbidities compared to sleepy OSA patients. Further investigations are warranted to elucidate the mechanisms underlying cardiovascular metabolic comorbidities in non-sleepy OSA patients. The proposed HASSUN scoring tool for non-sleepy OSA screening necessitates validation in future studies.

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Kapur VK, Auckley DH, Chowdhuri S, et al. Clinical practice guideline for diagnostic testing for adult obstructive sleep apnea: an American Academy of Sleep Medicine clinical practice guideline. J Clin Sleep Med 2017;13:479-504. DOI: https://doi.org/10.5664/jcsm.6506
Benjafield A, Valentine K, Ayas N. Global prevalence of obstructive sleep apnea in adults: estimation using currently available data. Am J Respir Crit Care Med 2018;197:A3962.
Theorell-Haglöw J, Miller CB, Bartlett DJ, et al. Gender differences in obstructive sleep apnoea, insomnia and restless legs syndrome in adults – what do we know? A clinical update. Sleep Med Rev 2018;38:28-38. DOI: https://doi.org/10.1016/j.smrv.2017.03.003
Johns MW. Sensitivity and specificity of the multiple sleep latency test (MSLT), the maintenance of wakefulness test and the epworth sleepiness scale: failure of the MSLT as a gold standard. J Sleep Res 2000;9:5-11. DOI: https://doi.org/10.1046/j.1365-2869.2000.00177.x
Murray W. Johns, A New method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep 1991:14:540-5. DOI: https://doi.org/10.1093/sleep/14.6.540
Chung F, Yegneswaran B, Liao P, et al. STOP questionnaire: a tool to screen patients for obstructive sleep apnea. Anesthesiology 2008;108:812-21. DOI: https://doi.org/10.1097/ALN.0b013e31816d83e4
Ong TH, Raudha S, Fook-Chong S, et al. Simplifying STOP-BANG: use of a simple questionnaire to screen for OSA in an Asian population. Sleep Breath 2010;14:371-6. DOI: https://doi.org/10.1007/s11325-010-0350-7
Waseem R, Chan MTV, Wang CY, et al. Diagnostic performance of the STOP-Bang questionnaire as a screening tool for obstructive sleep apnea in different ethnic groups. J Clin Sleep Med 2021;17:521-32. DOI: https://doi.org/10.5664/jcsm.8940
Guilleminault C, Partinen M, Quera-Salva MA, et al. Determinants of daytime sleepiness in obstructive sleep apnea. Chest 1988;94:32-7. DOI: https://doi.org/10.1378/chest.94.1.32
Bedard MA, Montplaisir J, Richer F, Malo J. Nocturnal hypoxemia as a determinant of vigilance impairment in sleep apnea syndrome. Chest 1991;100:367-70. DOI: https://doi.org/10.1378/chest.100.2.367
Colt HG, Haas H, Rich GB. Hypoxemia vs sleep fragmentation as cause of excessive daytime sleepiness in obstructive sleep apnea. Chest 1991;100:1542-8. DOI: https://doi.org/10.1378/chest.100.6.1542
Gottlieb DJ, Whitney CW, Bonekat WH, et al. Relation of sleepiness to respiratory disturbance index: the sleep heart health study. Am J Respir Crit Care Med 1999;159:502-7. DOI: https://doi.org/10.1164/ajrccm.159.2.9804051
Miliauskas S, Sakalauskas R. Peculiarities of nocturnal oxygen saturation in obstructive sleep apnea. Medicina (Kaunas) 2005;41:217-20. [Article in Lithuanian].
Punjabi NM, O’Hearn DJ, Neubauer DN, et al. Modeling hypersomnolence in sleep-disordered breathing. A novel approach using survival analysis. Am J Respir Crit Care Med 1999;159:1703-9. DOI: https://doi.org/10.1164/ajrccm.159.6.9808095
Johns MW. Daytime sleepiness, snoring, and obstructive sleep apnea. The Epworth sleepiness scale. Chest 1993;103:30-6. DOI: https://doi.org/10.1378/chest.103.1.30
Nieto FJ, Young TB, Lind BK, et al. Association of sleep-disordered breathing, sleep apnea, and hypertension in a large community-based study. Sleep heart health study. JAMA 2000;283:1829-36. DOI: https://doi.org/10.1001/jama.283.14.1829
Sharma SK, Kumpawat S, Banga A, Goel A. Prevalence and risk factors of obstructive sleep apnea syndrome in a population of Delhi, India. Chest 2006;130:149-56. DOI: https://doi.org/10.1378/chest.130.1.149
Shahar E, Whitney CW, Redline S, et al. Sleep-disordered breathing and cardiovascular disease: cross-sectional results of the Sleep Heart Health Study. Am J Respir Crit Care Med 2001;163:19-25. DOI: https://doi.org/10.1164/ajrccm.163.1.2001008
Oksenberg A, Arons E, Nasser K, et al. Severe obstructive sleep apnea: sleepy versus nonsleepy patients. Laryngoscope 2010;120:643-8. DOI: https://doi.org/10.1002/lary.20758
Bravo M, de LP, Serpero LD, et al. Inflammatory proteins in patients with obstructive sleep apnea with and without daytime sleepiness. Sleep Breath 2007;11:177-85. DOI: https://doi.org/10.1007/s11325-007-0100-7
Koutsourelakis I, Perraki E, Bonakis A, et al. Determinants of subjective sleepiness in suspected obstructive sleep apnoea. J Sleep Res 2008;17:437-43. DOI: https://doi.org/10.1111/j.1365-2869.2008.00663.x
Barcelo A, Barbe F, la Pena de M, et al. Insulin resistance and daytime sleepiness in patients with sleep apnoea. Thorax 2008;63:946-50. DOI: https://doi.org/10.1136/thx.2007.093740
Huang JF, Chen LD, Lin QC, et al. The relationship between excessive daytime sleepiness and metabolic syndrome in severe obstructive sleep apnea syndrome. Clin Respir J 2016;10:714-21. DOI: https://doi.org/10.1111/crj.12276
Wang Q, Zhang C, Jia P, et al. The association between the phenotype of excessive daytime sleepiness and blood pressure in patients with obstructive sleep apnea-hypopnea syndrome. Int J Med Sci 2014;11:713-20. DOI: https://doi.org/10.7150/ijms.7487
Pivetta B, Chen L, Nagappa M et al. Use and performance of the STOP-Bang questionnaire for obstructive sleep apnea screening across geographic regions: a systematic review and meta-analysis. JAMA Netw Open 2021;4:e211009. DOI: https://doi.org/10.1001/jamanetworkopen.2021.1009

Ethics Approval

Institute ethics committee clearance was taken vide S. No. IECNMMC/SJH/Thesis/05-2023/14.

How to Cite

Narwade, Ganesh, Manu Madan, Rohit Kumar, Pranav Ish, AJ Mahendran, Rajnish Kaushik, and Nitesh Gupta. 2024. “Clinical Characteristics of Non-Sleepy Obstructive Sleep Apnea Patients: A Study in a Tertiary Care Sleep Clinic in India”. Monaldi Archives for Chest Disease, May. https://doi.org/10.4081/monaldi.2024.3031.

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