Associations Between Systemic Inflammatory Markers Based on Blood Cells and Polysomnographic Factors in Obstructive Sleep Apnea
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Objectives. Systemic inflammation plays a key role in the pathogenesis of obstructive sleep apnea (OSA); however, easy-to-use methods to evaluate the severity of systemic inflammation have yet to be developed. This study investigatedthe association between systemic inflammation markers that could be derived from the complete blood count (CBC)profile and sleep parameters in a large number of patients with OSA. Methods. Patients who visited our hospital’s Otorhinolaryngology Sleep Clinic between January 2017 and April 2022 un-derwent polysomnography and routine laboratory tests, including a CBC. Associations between three systemic in-flammatory markers—the systemic immune-inflammation index (SII), neutrophil-lymphocyte ratio (NLR), and plate-let-lymphocyte ratio (PLR)—and polysomnographic and demographic factors including age, sex, body mass index,the apnea-hypopnea index (AHI), the hypopnea index (HI), lowest oxygen saturation (%), the Pittsburgh Sleep Qual-ity Index (PSQI), the Epworth Sleepiness Scale, and percentages of non-rapid eye movement (REM) sleep stage 3,REM sleep, and snoring time were analyzed. The inflammation markers were compared among OSA subgroups, andassociations were also analyzed in subgroups with different OSA severities. Results. In total, 1,102 patients (968 men and 134 women) were included, and their mean AHI was 33.0±24.3. PSQI wassignificantly associated with SII (P =0.027). No independent significant factors were identified for the NLR or PLR. Within the simple snoring and mild OSA subgroups, no significant association was found between sleep parametersand the SII. In the severe OSA subgroup, the AHI (P =0.004) and PSQI (P =0.012) were independently associatedwith the SII. Conclusion. Our study analyzed systemic inflammatory markers based on the CBC, a simple, relatively cost-effective test,and showed that the AHI and SII were significantly correlated only in the severe OSA subgroup.
Abstract
Objectives. Systemic inflammation plays a key role in the pathogenesis of obstructive sleep apnea (OSA); however, easy-to-use methods to evaluate the severity of systemic inflammation have yet to be developed. This study investigatedthe association between systemic inflammation markers that could be derived from the complete blood count (CBC)profile and sleep parameters in a large number of patients with OSA. Methods. Patients who visited our hospital’s Otorhinolaryngology Sleep Clinic between January 2017 and April 2022 un-derwent polysomnography and routine laboratory tests, including a CBC. Associations between three systemic in-flammatory markers—the systemic immune-inflammation index (SII), neutrophil-lymphocyte ratio (NLR), and plate-let-lymphocyte ratio (PLR)—and polysomnographic and demographic factors including age, sex, body mass index,the apnea-hypopnea index (AHI), the hypopnea index (HI), lowest oxygen saturation (%), the Pittsburgh Sleep Qual-ity Index (PSQI), the Epworth Sleepiness Scale, and percentages of non-rapid eye movement (REM) sleep stage 3,REM sleep, and snoring time were analyzed. The inflammation markers were compared among OSA subgroups, andassociations were also analyzed in subgroups with different OSA severities. Results. In total, 1,102 patients (968 men and 134 women) were included, and their mean AHI was 33.0±24.3. PSQI wassignificantly associated with SII (P =0.027). No independent significant factors were identified for the NLR or PLR. Within the simple snoring and mild OSA subgroups, no significant association was found between sleep parametersand the SII. In the severe OSA subgroup, the AHI (P =0.004) and PSQI (P =0.012) were independently associatedwith the SII. Conclusion. Our study analyzed systemic inflammatory markers based on the CBC, a simple, relatively cost-effective test,and showed that the AHI and SII were significantly correlated only in the severe OSA subgroup.
참고문헌 (23)
- Kokturk O, "Elevated C-reactive protein levels and increased cardiovascular risk in patients with obstructive sleep apnea syndrome", Int Heart J, 46(5), pp.801~809 (2005)
- Nadeem R, "Serum inflammatory markers in obstructive sleep apnea : a meta-analysis", J Clin Sleep Med, 9(10), pp.1003~1012 (2013)
- Ning Y, "Effects of continuous positive airway pressure on cardiovascular biomarkers in patients with obstructive sleep apnea : a meta-analysis of randomized controlled trials", Sleep Breath, 23(1), pp.77~86 (2019)
- Gozal D, "Metabolic alterations and systemic inflammation in obstructive sleep apnea among nonobese and obese prepubertal children", Am J Respir Crit Care Med, 177(10), pp.1142~1149 (2008)
- Zhong JH, "Prognostic role of systemic immune-inflammation index in solid tumors : a systematic review and meta-analysis", Oncotarget, 8(43), pp.75381~75388 (2017)
- Gok M, "A novel marker for predicting severity of acute pulmonary embolism : systemic immune-inflammation index", Scand Cardiovasc J, 55(2), pp.91~96 (2021)
- Fois AG, "The systemic inflammation index on admission predicts in-hospital mortality in COVID-19 patients", Molecules, 25(23), pp.5725~ (2020)
- Topuz MF, "The importance of systemic immune-inflammation index in obstructive sleep apnea syndrome", Eur Arch Otorhinolaryngol, 279(10), pp.5033~5038 (2022)
- Rha MS, "Association between the neutrophil-to-lymphocyte ratio and obstructive sleep apnea : a meta-analysis", Sci Rep, 10(1), pp.10862~ (2020)
- Oyama J, "The relationship between neutrophil to lymphocyte ratio, endothelial function, and severity in patients with obstructive sleep apnea", J Cardiol, 67(3), pp.295~302 (2016)
- Song YJ, "The platelet-to-lymphocyte ratio reflects the severity of obstructive sleep apnea syndrome and concurrent hypertension", Clin Hypertens, 22, pp.1~ (2016)
- Lee CH, "Mouth opening during sleep may be a critical predictor of surgical outcome after uvulopalatopharyngoplasty for obstructive sleep apnea", J Clin Sleep Med, 6(2), pp.157~162 (2010)
- Ruehland WR, "The new AASM criteria for scoring hypopneas : impact on the apnea hypopnea index", Sleep, 32(2), pp.150~157 (2009)
- Hirotsu C, "Effect of three hypopnea scoring criteria on OSA prevalence and associated comorbidities in the general population", J Clin Sleep Med, 15(2), pp.183~194 (2019)
- Kapur VK, "Clinical practice guideline for diagnostic testing for adult obstructive sleep apnea : an american academy of sleep medicine clinical practice guideline", J Clin Sleep Med, 13(3), pp.479~504 (2017)
- Iber C, "The AASM manual for the scoring of sleep and associated events: rules, terminology, and technical specifications" (2007), American Academy of Sleep Medicine
- Yang YL, "Systemic immune-inflammation index(SII)predicted clinical outcome in patients with coronary artery disease", Eur J Clin Invest, 50(5), pp.e13230~ (2020)
- Buysse DJ, "The Pittsburgh sleep quality index : a new instrument for psychiatric practice and research", Psychiatry Res, 28(2), pp.193~213 (1989)
- Chiu YL, "Higher systemic inflammation is associated with poorer sleep quality in stable haemodialysis patients", Nephrol Dial Transplant, 24(1), pp.247~251 (2009)
- Huang WY, "Associations of self-reported sleep quality with circulating interferon gamma-inducible protein 10, interleukin 6, and high-sensitivity C-reactive protein in healthy menopausal women", PLoS One, 12(1), pp.e0169216~ (2017)
- Shamsuzzaman AS, "Elevated C-reactive protein in patients with obstructive sleep apnea", Circulation, 105(21), pp.2462~2464 (2002)
- Duksal F, "Association of obstructive sleep apnea syndrome with hematological parameters and comorbid diseases", Neurol Asia, 27(2), pp.439~448 (2022)
- Koseoglu S, "Relationship between neutrophil to lymphocyte ratio, platelet to lymphocyte ratio and obstructive sleep apnea syndrome", Adv Clin Exp Med, 24(4), pp.623~627 (2015)
