Emine Kılıçparlar Cengiz1, Yasemin Ekmekyapar Fırat2, Abdurrahman Neyal3, Ayşe Münife Neyal2

1Department of Neurology, Dr. Ersin Arslan Training and Research Hospital, Gaziantep, Türkiye
2Department of Neurology, SANKO University Faculty of Medicine, Gaziantep, Türkiye
3Department of Neurology, Gaziantep Islam Bilim ve Teknoloji University Faculty of Medicine, Gaziantep, Türkiye

Keywords: Apnea hypopnea index, monocyte to HDL ratio, obstructive sleep apnea syndrome, total bilirubin.

Abstract

Objectives: This study aimed to compare total bilirubin levels with monocyte-to-high-density lipoprotein ratio (MHR), monocyte-to-lymphocyte ratio (MLR), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) in patients diagnosed with obstructive sleep apnea syndrome (OSAS) according to the apnea-hypopnea index (AHI) values.

Patients and methods: The files of patients who underwent polysomnography and had total bilirubin and complete blood count values were retrospectively reviewed. Patients were divided into three groups: AHI <5, AHI =5-29.99, and AHI ≥30. All blood parameters and calculated ratios were compared between the groups, and the relationship between these parameters and OSAS severity was investigated.

Results: The study included 240 patients (149 males, 91 females; mean age: 47.4±11.9 years; range, 21 to 82 years). High-density lipoprotein values were significantly lower and MHR was significantly higher in the group with AHI ≥30 compared to the other two groups (p<0.001 and p=0.001, respectively). Apnea-hypopnea index was correlated with MHR (r=0.270, p<0.001). The groups were similar in terms of MLR, NLR, PLR, and total bilirubin levels.

Conclusion: Considering that these easily accessible blood parameters are affected by many factors, they can only be used as auxiliary parameters in assessing the severity and follow-up of diseases such as OSAS.

Introduction

The most common type of respiratory disorders during sleep is obstructive sleep apnea syndrome (OSAS).[1] Obstructive sleep apnea syndrome is a sleep disorder characterized by recurrent apnea attacks during sleep. The repeated attacks not only deteriorate sleep depth and quality but also lead to continuous periods of hypoxia.[2]

Clinical studies have demonstrated that untreated OSAS patients have an increased risk of developing major vascular pathologies, such as hypertension, left ventricular dysfunction, coronary artery disease, arrhythmia, ischemic cerebrovascular events, and pulmonary hypertension, as well as severe conditions such as increased insulin resistance and metabolic syndrome.[2,3] It is known that these risks decrease in the long-term follow-up of patients under treatment.[4]

Polysomnography (PSG) is used in the diagnosis of OSAS.[5] The apnea-hypopnea index (AHI), a parameter of PSG, is calculated by dividing the number of apneas and hypopneas by the total hours of sleep. The AHI provides the hourly number of apneas and hypopneas and indicates the severity of the disease.[6] An AHI ≥30 is classified as severe OSAS.[6] The AHI is used in daily practice to assess the severity of the disease.

Circulating monocytes contribute to the development of atherosclerotic lesions in the endothelial wall by transforming into macrophages, thereby accelerating the development of cardiovascular diseases.[7] Furthermore, it has been shown that an increase in neutrophils and a decrease in lymphocytes among other circulating leukocyte subtypes can increase the risk of cardiovascular diseases.

High-density lipoprotein (HDL) cholesterol is thought to play a protective role in cardiovascular diseases due to its anti-inflammatory and antioxidant effects.[9]

The antioxidant effects and cardiovascular protective role of serum bilirubin have been demonstrated.[10] The risk of atherosclerosis decreases as the total serum bilirubin level increases.[11,12] The risk of atherosclerosis is known to increase in patients with OSAS.[2,3] There are limited studies in the literature comparing the severity of OSAS with total bilirubin levels.

In OSAS, aside from hypoxemia, systemic inflammation is also reported to play a role.[13] Recently, the monocyte-to-HDL ratio (MHR), neutrophil-to-lymphocyte ratio (NLR), plateletto-lymphocyte ratio (PLR), and monocyte-tolymphocyte ratio (MLR) can be used as biomarkers in diseases associated with systemic inflammation. Studies evaluating MHR, NLR, PLR, and MLR in OSAS patients are limited and generally focus on a single parameter. Therefore, it is not known whether multiple parameters are altered in the same patient group. Hence, this study aimed to compare these anti-inflammatory parameters and total bilirubin levels in individuals with severe OSAS (AHI ≥30), those with mild-to-moderate OSAS (AHI =5-29.99), and those without OSAS (AHI <5).

Material and Methods

The retrospective study included patients who underwent PSG at the sleep laboratory between January 2019 and August 2022. The follow-up of patients was conducted at the Dr. Ersin Arslan Training and Research Hospital Sleep Laboratory, Department of Neurology, and SANKO University, Department of Neurology, the patient files were retrospectively scanned. The Embla N7000 PSG device (Embla, Broomfield, CO, USA) was utilized in this study. Patients with available complete blood count and biochemistry results obtained at the time of PSG in their files were included in the study. The sociodemographic data, PSG data, and blood values were added to a separate form. From complete blood parameters, white blood cell, monocyte, lymphocyte, neutrophil, and platelet counts, and from biochemistry values, total bilirubin and HDL cholesterol levels were recorded on the form. The MHR, MLR, NLR, and PLR were calculated by dividing the number of monocytes by HDL, the number of monocytes by lymphocytes, the number of neutrophils by lymphocytes, and the number of platelets by lymphocytes, respectively. Patients were divided into three groups: AHI <5 (normal), AHI =5-29.99 (mild-moderate), and AHI ≥30 (severe). All blood parameters and the calculated ratios were compared between the three groups, and whether these parameters had a relationship with the severity of OSAS was investigated.

Statistical analysis

Data were analyzed using IBM SPSS version 25.0 software (IBM Corp., Armonk, NY, USA). The suitability of numerical variables to normal distribution was tested with the Kolmogorov-Smirnov test. Student's t-test was used to compare normally distributed variables between two groups, whereas the Mann-Whitney U test was used to compare nonnormally distributed numerical variables between two groups, and the Kruskal-Wallis H test was utilized for comparisons between three groups. The relationships between nonnormally distributed numerical variables were tested with the Spearman rank correlation coefficient. The chi-square test of independence was used to determine whether the relationship between two nominal variables was statistically significant. A p-value <0.05 was considered statistically significant.

Results

The study included 240 patients (149 males, 91 females; mean age: 47.4±11.9 years; range, 21 to 82 years). Twenty-nine patients had an AHI <5, 93 patients had an AHI between 5-29.99, and 118 patients had an AHI ≥30 (Table 1).

The number of males with an AHI of 30 and above was found to be statistically significantly higher.

The comparison of blood parameters and calculated ratios for groups with AHI below 5, between 5-29.99, and 30 and above is shown in Table 2. In the group with an AHI of 30 and above, HDL cholesterol values were significantly lower and the MHR ratio was significantly higher compared to the other two groups (p<0.001 and p=0.001, respectively; Table 2).

The correlation between AHI and monocytes, HDL, MHR, and total bilirubin is displayed in Table 3. No significant relationship was found between other blood parameters and AHI.

Discussion

In OSAS patients, increased hypoxia leads to activation of the sympathetic nervous system, endothelial dysfunction, and increased chronic inflammation.[14] The inflammatory parameters NLR, PLR, and MLR have been examined in patients with OSAS, and the literature presents conflicting results regarding the association of these parameters with the severity of OSAS.[15,16] No relationship is found between these parameters between these parameters and the severity of OSAS in our study, which is consistent with some studies in the literature.[17-19]

In a study, the severity of OSAS was compared with PLR and NLR, and a strong relationship was found between PLR and the severity of OSAS, suggesting that this parameter could be used as a biomarker for the severity of OSAS.[20] The same study argued that platelets contributed to the development of atherosclerosis by initiating the inflammation.[20] Another study found that PLR was lower in patients with OSAS and that PLR further decreased as the severity of the disease increased.[21]

Meta-analyses conducted due to conflicting results in the literature have determined that the NLR and PLR values are higher in OSAS patients and increase in accordance with the severity of the disease, although with heterogeneity.[15,16]

The similarity of the NLR, PLR, and MLR values across control, mild-moderate, and severe OSAS groups in our study did not support the view that these blood parameters could be used as biomarkers to assess disease severity in OSAS.

Monocytes adhere to the endothelial cell surface and stimulate the release of inflammatory cytokines in the formation of chronic inflammation. High-density lipoprotein cholesterol exerts an anti-inflammatory effect by removing monocytes from peripheral cells and increasing the efflux of oxidized cholesterol from macrophages.[22] Due to the inflammatory nature of monocytes and the anti-inflammatory properties of HDL cholesterol, the MHR has been suggested as a marker of systemic inflammation.[23] Furthermore, it has been demontrated that lipid peroxidation is increased and that there is HDL dysfunction in OSAS patients.[23]

The MHR has been considered a potentially more useful parameter for monitoring the severity of the disease in OSAS patients; however, studies on this subject are limited.[14,22,24,25] Consistent with the literature,[14,22,24] the MHR was significantly higher in severe OSAS cases (AHI ≥30) in this study. However, these results may be associated with the lower HDL cholesterol levels in the severe OSAS group. According to data obtained from the European Sleep Apnea Database, it was reported that HDL cholesterol significantly decreased with higher AHI values.[26] The relationship between OSAS and the lipid profile has not been clearly determined by studies. The HDL cholesterol levels may decrease as the severity of OSAS increases, or OSAS may be more severe in patients with lower HDL levels due to the anti-inflammatory protective effect of HDL. We believe that more comprehensive studies are required on this subject.

No statistically significant relationship was found between the severity of OSAS and total bilirubin levels in this study. The antioxidant, anti-inflammatory, and antiadipogenic effects of bilirubin have been demonstrated in the literature.[27] It is known that OSAS paves the way for atherosclerosis.[2,3] Studies investigating the clinical and laboratory findings of OSAS and total bilirubin levels are limited in the literature.[28-30] In one study, the relationship between serum bilirubin levels and carotid intima-media thickness in OSAS patients was evaluated, and it was suggested that low serum levels could be an indicator of subclinical atherosclerosis in these patients.[28] It has been reported that evaluating the NLR and total bilirubin levels together could guide in determining the cardiovascular risk in OSAS patients.[29] The absence of a difference between the control, mild-moderate, and severe OSAS groups in the present study does not support the view that bilirubin levels are associated with the severity of OSAS.

This study has some limitations. First, clinical factors not included in the study due to its retrospective and cross-sectional nature could affect the outcomes. The presence of additional diseases, particularly atherosclerosis, is a significant clinical factor. Second, the study lacks the evaluation of these blood parameters before and after continuous positive airway pressure therapy. Whether these values change over time is important in determining if they are consistent indicators of the severity of OSAS.

In conclusion, these easily accessible blood parameters can only be used as auxiliary parameters in determining the severity and monitoring of diseases such as OSAS since they are influenced by many factors and are not exclusively specific to inflammation. However, we believe that MHR could be a useful parameter. Prospective studies monitoring MHR values after device therapy could provide more insights on this subject.

Cite this article as: Kılıçparlar Cengiz E, Ekmekyapar Fırat Y, Neyal A, Neyal AM. The relationship of complete blood parameters, high-density lipoprotein cholesterol, and bilirubin values with disease severity in obstructive sleep apnea syndrome. Turk J Neurol 2024;30(1):10-15. doi: 10.55697/tnd.2024.84.

Data Sharing Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Ethics Committee Approval

The study protocol was approved by the SANKO University Clinical Research Ethics Committee (date: 27.01.2022, no: 01). The study was conducted in accordance with the principles of the Declaration of Helsinki.

Author Contributions

All authors contributed equally to the article.

Conflict of Interest

The authors declared no conflicts of interest with respect to the authorship and/or publication of this article.

Financial Disclosure

The authors received no financial support for the research and/or authorship of this article.

References

  1. Schiza SE, Randerath W, Sánchez-de-la-Torre M, Aliverti A, Bonsignore M, Simonds AK, et al. Continuous professional development: Elevating sleep and breathing disorder education in Europe. Breathe (Sheff) 2020;16:190336. doi: 10.1183/20734735.0336- 2019.
  2. Sapiña-Beltrán E, Gracia-Lavedan E, Torres G, Gaeta AM, Paredes J, Mayoral A, et al. Prevalence of obstructive sleep apnoea and its association with atherosclerotic plaques in a cohort of subjects with mild-moderate cardiovascular risk. Arch Bronconeumol 2022;58:490-7. doi: 10.1016/j.arbres.2021.01.026.
  3. Wang F, Xiong X, Xu H, Huang H, Shi Y, Li X, et al. The association between obstructive sleep apnea syndrome and metabolic syndrome: A confirmatory factor analysis. Sleep Breath 2019;23:1011-9. doi: 10.1007/ s11325-019-01804-8.
  4. Patil SP, Ayappa IA, Caples SM, Kimoff RJ, Patel SR, Harrod CG. Treatment of adult obstructive sleep apnea with positive airway pressure: An American Academy of Sleep Medicine Clinical Practice Guideline. J Clin Sleep Med 2019;15:335-43. doi: 10.5664/jcsm.7640.
  5. Stanek A, Brożyna-Tkaczyk K, Myśliński W. Oxidative stress markers among obstructive sleep apnea patients. Oxid Med Cell Longev 2021;2021:9681595. doi: 10.1155/2021/9681595.
  6. Butler MP, Emch JT, Rueschman M, Sands SA, Shea SA, Wellman A, et al. Apnea-hypopnea event duration predicts mortality in men and women in the sleep heart health study. Am J Respir Crit Care Med 2019;199:903-12. doi: 10.1164/rccm.201804-0758OC.
  7. Flynn MC, Pernes G, Lee MKS, Nagareddy PR, Murphy AJ. Monocytes, macrophages, and metabolic disease in atherosclerosis. Front Pharmacol 2019;10:666. doi: 10.3389/fphar.2019.00666.
  8. Gong S, Gao X, Xu F, Shang Z, Li S, Chen W, et al. Association of lymphocyte to monocyte ratio with severity of coronary artery disease. Medicine (Baltimore) 2018;97:e12813. doi: 10.1097/MD.0000000000012813.
  9. Acat M, Yazıcı O. The Monocyte/HDL cholesterol ratio in obstructive sleep apnea syndrome. Meandros Med Dental J 2019;20:204-8. doi: 10.4274/meandros.galenos.2018.63935.
  10. Tang LH, Huang C, Feng YQ. Serum total bilirubin concentration is associated with carotid atherosclerosis in patients with prehypertension. Clin Exp Hypertens 2019;41:682-6. doi: 10.1080/10641963.2018.1539094.
  11. Meng X, Chang Q, Liu Y, Chen L, Wei G, Yang J, et al. Determinant roles of gender and age on SII, PLR, NLR, LMR and MLR and their reference intervals defining in Henan, China: A posteriori and big-data-based. J Clin Lab Anal 2018;32:e22228. doi: 10.1002/jcla.22228.
  12. Akboga MK, Canpolat U, Sahinarslan A, Alsancak Y, Nurkoc S, Aras D, et al. Association of serum total bilirubin level with severity of coronary atherosclerosis is linked to systemic inflammation. Atherosclerosis 2015;240:110-4. doi: 10.1016/j.atherosclerosis.2015.02.051.
  13. Nadeem R, Molnar J, Madbouly EM, Nida M, Aggarwal S, Sajid H, et al. Serum inflammatory markers in obstructive sleep apnea: A meta-analysis. J Clin Sleep Med 2013;9:1003-12. doi: 10.5664/jcsm.3070.
  14. Atan D, Kundi FCS, Özcan KM, Dere H. A new predictor for obstructive sleep apnea syndrome: Monocyte to HDL ratio. Indian J Otolaryngol Head Neck Surg 2017;69:142-6. doi: 10.1007/s12070-016-0980-6.
  15. Wu M, Zhou L, Zhu D, Lai T, Chen Z, Shen H. Hematological indices as simple, inexpensive and practical severity markers of obstructive sleep apnea syndrome: A meta-analysis. J Thorac Dis 2018;10:6509- 21. doi: 10.21037/jtd.2018.10.105.
  16. Rha MS, Kim CH, Yoon JH, Cho HJ. Association between the neutrophil-to-lymphocyte ratio and obstructive sleep apnea: A meta-analysis. Sci Rep 2020;10:10862. doi: 10.1038/s41598-020-67708-w.
  17. Fan Z, Lu X, Long H, Li T, Zhang Y. The association of hemocyte profile and obstructive sleep apnea. J Clin Lab Anal 2019;33:e22680. doi: 10.1002/jcla.22680.
  18. Kıvanc T, Kulaksızoglu S, Lakadamyalı H, Eyuboglu F. Importance of laboratory parameters in patients with obstructive sleep apnea and their relationship with cardiovascular diseases. J Clin Lab Anal 2018;32:e22199. doi: 10.1002/jcla.22199.
  19. Korkmaz M, Korkmaz H, Küçüker F, Ayyıldız SN, Çankaya S. Evaluation of the association of sleep apnea-related systemic inflammation with CRP, ESR, and neutrophil-to-lymphocyte ratio. Med Sci Monit 2015;21:477-81. doi: 10.12659/MSM.893175.
  20. Günbatar H, Ekin S, Sünnetçioğlu A, Arısoy A, Çilingir B, Aşker S, et al. The relationship between neutrophilto-lymphocyte ratio and platelet-to-lymphocyte ratio in patients with obstructive sleep apnea syndrome. Dicle Med J 2015;42:289-93.
  21. Koseoglu S, Ozcan KM, Ikinciogullari A, Cetin MA, Yildirim E, Dere H. Relationship between neutrophil to lymphocyte ratio, platelet to lymphocyte ratio and obstructive sleep apnea syndrome. Adv Clin Exp Med 2015;24:623-7. doi: 10.17219/acem/47735.
  22. Yousef AM, El-Jawhari JJ. Can monocyte to HDL ratio be a new marker for severity of obstructive sleep apnea syndrome? J Pulmonol Res Rep 2020;2:1-4.
  23. Tan KC, Chow WS, Lam JC, Lam B, Wong WK, Tam S, et al. HDL dysfunction in obstructive sleep apnea. Atherosclerosis 2006;184:377-82. doi: 10.1016/j. atherosclerosis.2005.04.024.
  24. Inonu Koseoglu H, Pazarli AC, Kanbay A, Demir O. Monocyte count/HDL cholesterol ratio and cardiovascular disease in patients with obstructive sleep apnea syndrome: A multicenter study. Clin Appl Thromb Hemost 2018;24:139-44. doi: 10.1177/1076029616677803.
  25. Sun M, Liang C, Lin H, Meng Y, Tang Q, Shi X, et al. Monocyte to HDL cholesterol ratio as a marker of the presence and severity of obstructive sleep apnea in hypertensive patients. Sci Rep 2021;11:15821. doi: 10.1038/s41598-021-95095-3.
  26. Gündüz C, Basoglu OK, Hedner J, Zou D, Bonsignore MR, Hein H, et al. Obstructive sleep apnoea independently predicts lipid levels: Data from the European Sleep Apnea Database. Respirology 2018;23:1180-9. doi: 10.1111/resp.13372.
  27. Novák P, Jackson AO, Zhao GJ, Yin K. Bilirubin in metabolic syndrome and associated inflammatory diseases: New perspectives. Life Sci 2020;257:118032. doi: 10.1016/j.lfs.2020.118032.
  28. Duman H, Özyurt S. Low serum bilirubin levels associated with subclinical atherosclerosis in patients with obstructive sleep apnea. Interv Med Appl Sci 2018;10:179-85. doi: 10.1556/1646.10.2018.39.
  29. Friedlander AH, Boström KI, Tran HA, Chang TI, Polanco JC, Lee UK. Severe sleep apnea associated with increased systemic inflammation and decreased serum bilirubin. J Oral Maxillofac Surg 2019;77:2318-23. doi: 10.1016/j.joms.2019.05.023.
  30. Chin K, Ohi M, Shimizu K, Nakamura T, Miyaoka F, Mishima M, et al. Increase in bilirubin levels of patients with obstructive sleep apnea in the morning- -a possible explanation of induced heme oxygenase-1. Sleep 2001;24:218-23. doi: 10.1093/sleep/24.2.218.