{"title":"Impact of Sleep Fragmentation and Arousal on Nonalcoholic Fatty Liver Disease in Patients with Obstructive Sleep Apnea: A Cross-Sectional Study.","authors":"Yue Zhong, Biying Wang, Jiefeng Huang, Meixin Nian, Jianming Zhao, Gongping Chen","doi":"10.2147/NSS.S480186","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Obstructive sleep apnea (OSA) is a contributing factor to nonalcoholic fatty liver disease (NAFLD). This study aimed to investigate the clinical and polysomnographic characteristics of OSA patients with and without NAFLD, focusing on the relationships between sleep fragmentation, arousal and NAFLD.</p><p><strong>Materials and methods: </strong>We consecutively enrolled patients who underwent polysomnography, anthropometry, blood sampling, and abdominal ultrasonography. Patients were categorized into NAFLD and non-NAFLD groups. A comparative analysis of clinical and polysomnographic profiles was conducted, followed by multivariate binary logistic regression to explore the relationship between sleep disturbance indices and NAFLD.</p><p><strong>Results: </strong>A total of 403 subjects were included, including 92 patients with NAFLD and 311 with non-NAFLD. NAFLD patients exhibited a greater apnea-hypopnea index (AHI) (51.19/h vs 33.60/h, p = 0.002) and oxygen desaturation index (ODI) (37.90/h vs 21.40/h, p=0.034) compared to non-NAFLD patients. Specifically, NAFLD patients had a higher rapid eye movement (REM)-AHI (53.70/h vs 43.60/h, p=0.001) and greater arousal index (AI) (32 vs 25, p = 0.009). Additionally, sleep latency (SL) was significantly lower in the NAFLD group (p < 0.05). Multivariate logistic regression analysis confirmed that REM-AHI (OR=1.023, p = 0.024), AI (OR=1.140, p = 0.01), and SL (OR=0.956, p = 0.035) were significantly associated with NAFLD in OSA patients.</p><p><strong>Conclusion: </strong>This study revealed that sleep disturbance indices, especially AI, REM-AHI and SL, were closely related to NAFLD. When evaluating whether OSA patients are complicated with NAFLD, more attention should be given to sleep fragmentation and arousal.</p>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":"16 ","pages":"2143-2150"},"PeriodicalIF":3.0000,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11668340/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature and Science of Sleep","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/NSS.S480186","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: Obstructive sleep apnea (OSA) is a contributing factor to nonalcoholic fatty liver disease (NAFLD). This study aimed to investigate the clinical and polysomnographic characteristics of OSA patients with and without NAFLD, focusing on the relationships between sleep fragmentation, arousal and NAFLD.
Materials and methods: We consecutively enrolled patients who underwent polysomnography, anthropometry, blood sampling, and abdominal ultrasonography. Patients were categorized into NAFLD and non-NAFLD groups. A comparative analysis of clinical and polysomnographic profiles was conducted, followed by multivariate binary logistic regression to explore the relationship between sleep disturbance indices and NAFLD.
Results: A total of 403 subjects were included, including 92 patients with NAFLD and 311 with non-NAFLD. NAFLD patients exhibited a greater apnea-hypopnea index (AHI) (51.19/h vs 33.60/h, p = 0.002) and oxygen desaturation index (ODI) (37.90/h vs 21.40/h, p=0.034) compared to non-NAFLD patients. Specifically, NAFLD patients had a higher rapid eye movement (REM)-AHI (53.70/h vs 43.60/h, p=0.001) and greater arousal index (AI) (32 vs 25, p = 0.009). Additionally, sleep latency (SL) was significantly lower in the NAFLD group (p < 0.05). Multivariate logistic regression analysis confirmed that REM-AHI (OR=1.023, p = 0.024), AI (OR=1.140, p = 0.01), and SL (OR=0.956, p = 0.035) were significantly associated with NAFLD in OSA patients.
Conclusion: This study revealed that sleep disturbance indices, especially AI, REM-AHI and SL, were closely related to NAFLD. When evaluating whether OSA patients are complicated with NAFLD, more attention should be given to sleep fragmentation and arousal.
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.