Effects of Metabolic Factors on Left Ventricular Diastolic Function in Patients with Obstructive Sleep Apnea.

IF 3 2区医学 Q2 CLINICAL NEUROLOGY Nature and Science of Sleep Pub Date : 2025-01-10 eCollection Date: 2025-01-01 DOI:10.2147/NSS.S497970

Yi-Fan Zhou, Shu-Han Chen, Wan-Da Wang, Jia-Le Chen, Ping-Yu Cai, Mei-Mei Li, Yue-Ling Lin, Wan-Qi Li, De-Hong Huang, Jun Li, Yue-Ting Li, Hui-Li Lin

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Abstract

Purpose: The effect of metabolic factors on cardiovascular risk in obstructive sleep apnea (OSA) is unclear. This study aimed to investigate the effect of metabolic factors on the left ventricular diastolic function in patients with OSA.

Patients and methods: This cross-sectional study included a total of 478 patients with OSA from September 2018 to September 2023. After propensity score matching, wherein 193 patients with OSA with metabolic syndrome (MS) were 1:1 matched to patients with OSA without MS by sex and age, data from 386 patients were ultimately analyzed. Furthermore, all patients were divided into mild, moderate, and severe OSA groups according to their sleep apnea-hypopnea index (AHI). Measurements included nocturnal polysomnography, biochemical testing, and transthoracic echocardiography data.

Results: The AHI in the MS group was higher (30.24±21.69 vs 23.19±17.65, p<0.001) and the lowest oxygen saturation at night was lower (77.67±9.23 vs 80.59±9.26, p<0.001) than those in the non-MS group. Additionally, the left ventricular end-diastolic diameter (LVEDD), left ventricular end-systolic diameter (LVESD), end-diastolic ventricular septal thickness (IVST), left ventricular end-diastolic posterior wall thickness (LVPWT), left atrial internal diameter (LAD), and E peak to A peak velocity ratio (E/A) in the MS group were higher than those in the non-MS group (P<0.05). The E peak to e' peak velocity ratio (E/e') in the MS group was higher than that in the non-MS group (12.02±3.68 vs 11.13±3.12, P=0.011) and was positively correlated with the diagnosis of MS and metabolic factors (r=0.115, p=0.024; r=0.131, p=0.010, respectively). Patients with five metabolic factors had a significantly higher risk of E/e' elevation than patients in the non-MS group (odds ratio=4.238, p=0.007).

Conclusion: MS may be related to OSA severity and left ventricular diastolic dysfunction. An increase in metabolic factors may increase the risk of diastolic dysfunction. Among metabolic factors, blood pressure may be the most important.

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代谢因素对阻塞性睡眠呼吸暂停患者左心室舒张功能的影响

目的：代谢因素对阻塞性睡眠呼吸暂停（OSA）患者心血管风险的影响尚不清楚。本研究旨在探讨代谢因素对OSA患者左室舒张功能的影响。患者和方法：本横断面研究包括2018年9月至2023年9月期间共478例OSA患者。在倾向评分匹配后，193例OSA合并代谢综合征（MS）患者与无MS的OSA患者按性别和年龄1:1匹配，最终分析了386例患者的数据。根据睡眠呼吸暂停低通气指数（AHI）将患者分为轻度、中度和重度OSA组。测量包括夜间多导睡眠图、生化测试和经胸超声心动图数据。结果：MS组AHI高于MS组(30.24±21.69 vs 23.19±17.65,pr=0.115, p=0.024；R =0.131, p=0.010)。合并5种代谢因素的患者发生E/ E升高的风险明显高于非ms组（优势比=4.238,p=0.007）。结论：MS可能与OSA严重程度和左室舒张功能不全有关。代谢因子的增加可能增加舒张功能障碍的风险。在代谢因素中，血压可能是最重要的。

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来源期刊

Nature and Science of Sleep Neuroscience-Behavioral Neuroscience

CiteScore

5.70

自引率

5.90%

发文量

245

审稿时长

16 weeks

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.