Chronic Obstructive Sleep Apnea: A Predictor of Abnormal Glucose Metabolism

Authors

  • Tayyaba Anis Chaudhry
  • Aysha Mushtaq
  • Ayesha Zafar
  • Rubab Rameez
  • Tooba Jamal
  • Fatima Iqbal

DOI:

https://doi.org/10.1996/pjcm.v28i2.806

Keywords:

Chronic Obstructive Sleep Apnea, Glucose Metabolism, Predictors

Abstract

Background: Metabolic syndrome (MS), a widely used term referring to the combination of hypertension, obesity, dyslipidemia, and insulin resistance impacts millions of individuals globally. Objectives: The present study aimed to assess chronic obstructive sleep apnea as a predictor of abnormal glucose metabolism. Methodology: This cross-sectional study was conducted on 120 cases (60 cases of chronic obstructive sleep apnea (OSA) and 60 matched controls) in the Department of Physiology Pakistan Railway Hospital, Rawalpindi from April 2021 to March 2022. Patients who exhibited nocturnal symptoms such as snoring and shortness of breath were enrolled. Detailed information about their sleep patterns, medical background, and body mass index (BMI) was collected. A fasting blood sample was collected from all participants. Blood sugar levels were compared between the two groups, and the comparison was also conducted based on the severity of apnea, categorizing patients into mild, moderate, and severe apnea groups. Results: The overall mean age of cases and control was 48.5 ± 2.64 years and 47.04 ± 2.82 years respectively. Out of 60 OSA cases, the incidence of mild, moderate, and severe OSA was 25% (n=15), 35% (n=21), and 40% (n=24) respectively. The overall mean Epworth sleep scale (ESS)  among cases and control was 11.96 ± 3.8 and 4.48±1.78 respectively. The average fasting blood sugar (FBS) level was 111.82 ± 20.67 mg/dl in the cases group and 96.98 ± 28.82 mg/dl in the controls group, indicating a significant difference between the two groups (p=0.005). The frequency of individuals with abnormal glucose metabolism was significantly higher in the OSA (Obstructive Sleep Apnea) group (p=0.001). The abnormal glucose metabolism was significantly associated with apnea severity: the incidence of abnormal glucose metabolism in mild, moderate, severe, and control cases was 53.3% (n=8), 76.2% (n=16), 62.5% (n=15), and 30% (n=18) respectively. Conclusion: The present study found that obstructive sleep apnea is linked to a greater disruption in glucose metabolism. Additionally, this disruption in glucose metabolism is associated with the severity of obstructive sleep apnea (OSA). Keywords: Chronic Obstructive Sleep Apnea; Glucose Metabolism; Predictors

Author Biographies

Tayyaba Anis Chaudhry

Department of Physiology, Watim Medical and Dental College, Rawat, Rawalpindi – Pakistan

Aysha Mushtaq

Department of Physiology, Islamic International Medical College, Rawalpindi – Pakistan

Ayesha Zafar

Department of Physiology, Dental College HITEC- IMS, Taxila – Pakistan

Rubab Rameez

Department of Physiology, Islamabad Medical and Dental College, Barakahu, Islamabad- Pakistan

Tooba Jamal

Department of Physiology, Shifa College of Medicine, Islamabad – Pakistan

Fatima Iqbal

Department of Physiology, Fauji Foundation Medical College, Islamabad - Pakistan

References

Vargas CA, Guzmán-Guzmán IP, Caamaño-Navarrete F, Jerez-Mayorga D, Chirosa-Ríos LJ, Delgado-Floody P. Syndrome metabolic markers, fitness and body fat is associated with sleep quality in women with severe/morbid obesity. Int J Environ Res Public Health. 2021;18(17):9294.

Qamar A, Haque Z, Baig MS, Owais M, Iffat W, Qamar A. Obstructive sleep apnoea: A predictor of abnormal glucose metabolism. Pak J Physiol. 2018;14(4):5-8.

Newbold R, Benedetti A, Kimoff RJ, Meltzer S, Garfield N, Dasgupta K, et al. Maternal sleep-disordered breathing in pregnancy and increased nocturnal glucose levels in women with gestational diabetes mellitus. Chest. 2021;159(1):356-65.

Javaheri S, Barbe F, Campos-Rodriguez F, Dempsey JA, Khayat R, Javaheri S, et al. Sleep Apnea: Types, Mechanisms, and Clinical Cardiovascular Consequences. J Am Coll Cardiol. 2017; 69:841–58.

Azarbarzin A, Sands SA, Stone KL, TarantoMontemurro L, Messineo L, Terrill PI, et al. The hypoxic burden of sleep apnoea predicts cardiovascular disease-related mortality: the Osteoporotic Fractures in Men Study and the Sleep Heart Health Study. Eur Heart J. 2018;40:1149–57.

Senaratna CV, Perret JL, Lodge CJ, Lowe AJ, Campbell BE, Matheson MC, et al. Prevalence of obstructive sleep apnea in the general population: a systematic review. Sleep Med Rev. 2017; 34:70–81.

Shivashankar R, Kondal D, Ali MK, Gupta R, Pradeepa R, Mohan V, et al. Associations of sleep duration and disturbances with hypertension in metropolitan cities of Delhi, Chennai, and Karachi in South Asia: cross-sectional analysis of the CARRS

study. Sleep. 2017;40(9):zsx119.

Matsiki D, Deligianni X, Vlachogianni-Daskalopoulou E, Hadjileontiadis LJ. Wavelet-based analysis of nocturnal snoring in apneic patients undergoing polysomnography. In 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2007;1912-1915.

Di Mauro P, Cocuzza S, Maniaci A, Ferlito S, Rasà D, Anzivino R, Vicini C, Iannella G, La Mantia I. The effect of adenotonsillectomy on children's behaviour and cognitive performance with obstructive sleep apnea syndrome: State of the art. Children. 2021;8(10):921.

Ren R, Covassin N, Zhang Y, Lei F, Yang L, Zhou J, Tan L, Li T, Li Y, Shi J, Lu L. Interaction between slow wave sleep and obstructive sleep apnea in prevalent hypertension. Hypertension. 2020;75(2):516-23.

Zhang J, Zhuang Y, Wan NS, Tang X, Zhou W, Si L, et al. Slow-wave sleep is associated with incident hypertension in patients with obstructive sleep apnea: a cross-sectional study. J Int Med Res. 2020;48(9):0300060520954682.

Ahmad M. Makati D. Akbar S. Review of and Updates on Hypertension in Obstructive Sleep Apnea. Int J Hypertens. 2017; 1848375.

Jin ZN, Wei YX. Meta-analysis of effects of obstructive sleep apnea on the renin-angiotensin-aldosterone system. Journal of geriatric cardiology. J Geriatr Cardiol. 2016;13: 333–43.

Qamar A, Baig MS, Saifullah N. Obstructive sleep apnea and metabolic syndrome; causal association or coexistence? Med Forum 2017;28(4):188–92.

Ormazabal V, Nair S, Elfeky O, Aguayo C, Salomon C, Zuñiga FA. Association between insulin resistance and the development of cardiovascular disease. Cardiovasc. Diabetol. 2018;17: 122.

Sun LM, Chiu HW, Chuang CY, Liu L. A prediction model based on an artificial intelligence system for moderate to severe obstructive sleep apnea. Sleep Breath. 2011;15:317-23.

Qamar A, Ali SI, Ghuman F, Owais M, Ahmed R. Effect of Obstructive sleep apnoea on lipid metabolism: Across sectional study from a tertiary care hospital of Pakistan. Pak J Physiol. 2017;13(4):7–10.

Isaac BT, Clarke SE, Islam MS, Samuel JT. Screening for obstructive sleep apnoea using the STOP-BANG questionnaire and the Epworth sleepiness score in patients admitted on the unselected acute medical take in a UK hospital. Clin Med. 2017;17(6):499.

Ruel G, Martin SA, Lévesque JF, Wittert GA, Adams RJ, Appleton SL, et al. Association between multimorbidity and undiagnosed obstructive sleep apnea severity and their impact on quality of life in men over 40 years old. Glob Health Epid Genom. 2018;3:e10.

Chiang CL, Chen YT, Wang KL, Su VY, Wu LA, Perng DW, et al. Comorbidities and risk of mortality in patients with sleep apnea. Ann Med. 2017; 49: 377–83.

Archontogeorgis K, Voulgaris A, Nena E, Strempela M, Karailidou P, Tzouvelekis A, et al. Cardiovascular risk assessment in a cohort of newly diagnosed patients with obstructive sleep apnea syndrome. Cardiol Res Pract. 2018; 6572785.

Chuang HH, Huang CG, Chuang LP, Huang YS, Chen NH, Li HY, et al. Relationships among and predictive values of obesity, inflammation markers, and disease severity in pediatric patients with obstructive sleep apnea before and after adenotonsillectomy. J Clin Med. 2020; 9: 579.

Gamaldo C, Buenaver L, Chernyshev O, Derose S, Mehra R, Vana K, et al. OSA Assessment Tools Task Force of the American Academy of Sleep Medicine. Evaluation of clinical tools to screen and assess for obstructive sleep apnea. J of Clin Sleep Med. 2018;14(7):1239-44

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Published

2022-06-02

How to Cite

Tayyaba Anis Chaudhry, Aysha Mushtaq, Ayesha Zafar, Rubab Rameez, Tooba Jamal, & Fatima Iqbal. (2022). Chronic Obstructive Sleep Apnea: A Predictor of Abnormal Glucose Metabolism. Pakistan Journal of Chest Medicine, 28(2), 162–166. https://doi.org/10.1996/pjcm.v28i2.806

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