{"title":"阻塞性睡眠呼吸暂停患者新型血液学炎症生物标志物与心血管疾病的关联","authors":"Yanru Ou, Xiufang Wang, Dandan Zong, Ruoyun Ouyang","doi":"10.2147/NSS.S554387","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Heightened inflammatory state is considered a key factor linking obstructive sleep apnea (OSA) with cardiovascular disease (CVD).</p><p><strong>Objective: </strong>This study aimed to assess the level of novel hematologic inflammatory biomarkers including neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), ratio of neutrophil count to HDL level (NHR), ratio of monocyte count to HDL level (MHR), monocyte count multiplied by neutrophil-to-lymphocyte ratio (SIRI) in OSA patients, and explored the relationships between these inflammatory biomarkers and cardiovascular risk.</p><p><strong>Methods: </strong>This study enrolled 974 patients with OSA and all data were collected after admission. Spearman correlation was used to explore the correlations between sleep parameters and inflammatory indices. Logistic regression and receiver operating characteristic (ROC) analysis were employed to assess the association between the novel hematologic inflammatory indices and CVD in OSA patients.</p><p><strong>Results: </strong>Correlation analysis showed that most inflammatory indices were closely related to nocturnal hypoxia in OSA patients. Multivariate logistic regression suggested that NLR (OR=1.085, 95% CI: 1.017-1.158), MLR (OR=3.708, 95% CI: 1.322-10.404), NHR (OR=1.074, 95% CI: 1.020-1.131), MHR (OR=2.116, 95% CI: 1.205-3.715), and SIRI (OR=1.148, 95% CI: 1.035-1.272) were positively correlated with CVD in OSA patients after adjusting all confounding factors. Moreover, the area under the curve (AUC) of NLR, MLR, NHR, MHR, and SIRI for discriminating OSA patients with CVD was 0.734, 0.735, 0.736, 0.734, and 0.735, respectively, after adjusting for all confounders.</p><p><strong>Conclusion: </strong>Inflammatory indices including NLR, MLR, NHR, MHR, and SIRI were promising biomarkers for CVD in OSA patients, which might aid in the early identification of CVD risk in clinical. These easily obtainable markers may facilitate CVD risk stratification in OSA patients.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"17 ","pages":"2715-2728"},"PeriodicalIF":3.4000,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12539413/pdf/","citationCount":"0","resultStr":"{\"title\":\"Association of Novel Hematologic Inflammatory Biomarkers with Cardiovascular Disease in Patients with Obstructive Sleep Apnea.\",\"authors\":\"Yanru Ou, Xiufang Wang, Dandan Zong, Ruoyun Ouyang\",\"doi\":\"10.2147/NSS.S554387\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Heightened inflammatory state is considered a key factor linking obstructive sleep apnea (OSA) with cardiovascular disease (CVD).</p><p><strong>Objective: </strong>This study aimed to assess the level of novel hematologic inflammatory biomarkers including neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), ratio of neutrophil count to HDL level (NHR), ratio of monocyte count to HDL level (MHR), monocyte count multiplied by neutrophil-to-lymphocyte ratio (SIRI) in OSA patients, and explored the relationships between these inflammatory biomarkers and cardiovascular risk.</p><p><strong>Methods: </strong>This study enrolled 974 patients with OSA and all data were collected after admission. Spearman correlation was used to explore the correlations between sleep parameters and inflammatory indices. Logistic regression and receiver operating characteristic (ROC) analysis were employed to assess the association between the novel hematologic inflammatory indices and CVD in OSA patients.</p><p><strong>Results: </strong>Correlation analysis showed that most inflammatory indices were closely related to nocturnal hypoxia in OSA patients. Multivariate logistic regression suggested that NLR (OR=1.085, 95% CI: 1.017-1.158), MLR (OR=3.708, 95% CI: 1.322-10.404), NHR (OR=1.074, 95% CI: 1.020-1.131), MHR (OR=2.116, 95% CI: 1.205-3.715), and SIRI (OR=1.148, 95% CI: 1.035-1.272) were positively correlated with CVD in OSA patients after adjusting all confounding factors. Moreover, the area under the curve (AUC) of NLR, MLR, NHR, MHR, and SIRI for discriminating OSA patients with CVD was 0.734, 0.735, 0.736, 0.734, and 0.735, respectively, after adjusting for all confounders.</p><p><strong>Conclusion: </strong>Inflammatory indices including NLR, MLR, NHR, MHR, and SIRI were promising biomarkers for CVD in OSA patients, which might aid in the early identification of CVD risk in clinical. These easily obtainable markers may facilitate CVD risk stratification in OSA patients.</p>\",\"PeriodicalId\":18896,\"journal\":{\"name\":\"Nature and Science of Sleep\",\"volume\":\"17 \",\"pages\":\"2715-2728\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12539413/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature and Science of Sleep\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/NSS.S554387\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature and Science of Sleep","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/NSS.S554387","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Association of Novel Hematologic Inflammatory Biomarkers with Cardiovascular Disease in Patients with Obstructive Sleep Apnea.
Background: Heightened inflammatory state is considered a key factor linking obstructive sleep apnea (OSA) with cardiovascular disease (CVD).
Objective: This study aimed to assess the level of novel hematologic inflammatory biomarkers including neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), ratio of neutrophil count to HDL level (NHR), ratio of monocyte count to HDL level (MHR), monocyte count multiplied by neutrophil-to-lymphocyte ratio (SIRI) in OSA patients, and explored the relationships between these inflammatory biomarkers and cardiovascular risk.
Methods: This study enrolled 974 patients with OSA and all data were collected after admission. Spearman correlation was used to explore the correlations between sleep parameters and inflammatory indices. Logistic regression and receiver operating characteristic (ROC) analysis were employed to assess the association between the novel hematologic inflammatory indices and CVD in OSA patients.
Results: Correlation analysis showed that most inflammatory indices were closely related to nocturnal hypoxia in OSA patients. Multivariate logistic regression suggested that NLR (OR=1.085, 95% CI: 1.017-1.158), MLR (OR=3.708, 95% CI: 1.322-10.404), NHR (OR=1.074, 95% CI: 1.020-1.131), MHR (OR=2.116, 95% CI: 1.205-3.715), and SIRI (OR=1.148, 95% CI: 1.035-1.272) were positively correlated with CVD in OSA patients after adjusting all confounding factors. Moreover, the area under the curve (AUC) of NLR, MLR, NHR, MHR, and SIRI for discriminating OSA patients with CVD was 0.734, 0.735, 0.736, 0.734, and 0.735, respectively, after adjusting for all confounders.
Conclusion: Inflammatory indices including NLR, MLR, NHR, MHR, and SIRI were promising biomarkers for CVD in OSA patients, which might aid in the early identification of CVD risk in clinical. These easily obtainable markers may facilitate CVD risk stratification in OSA patients.
期刊介绍：
Nature and Science of Sleep is an international, peer-reviewed, open access journal covering all aspects of sleep science and sleep medicine, including the neurophysiology and functions of sleep, the genetics of sleep, sleep and society, biological rhythms, dreaming, sleep disorders and therapy, and strategies to optimize healthy sleep.
Specific topics covered in the journal include:
The functions of sleep in humans and other animals
Physiological and neurophysiological changes with sleep
The genetics of sleep and sleep differences
The neurotransmitters, receptors and pathways involved in controlling both sleep and wakefulness
Behavioral and pharmacological interventions aimed at improving sleep, and improving wakefulness
Sleep changes with development and with age
Sleep and reproduction (e.g., changes across the menstrual cycle, with pregnancy and menopause)
The science and nature of dreams
Sleep disorders
Impact of sleep and sleep disorders on health, daytime function and quality of life
Sleep problems secondary to clinical disorders
Interaction of society with sleep (e.g., consequences of shift work, occupational health, public health)
The microbiome and sleep
Chronotherapy
Impact of circadian rhythms on sleep, physiology, cognition and health
Mechanisms controlling circadian rhythms, centrally and peripherally
Impact of circadian rhythm disruptions (including night shift work, jet lag and social jet lag) on sleep, physiology, cognition and health
Behavioral and pharmacological interventions aimed at reducing adverse effects of circadian-related sleep disruption
Assessment of technologies and biomarkers for measuring sleep and/or circadian rhythms
Epigenetic markers of sleep or circadian disruption.
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