Xu Huajun, Guan Jian, Yi Hongliang, Zou Jianyin, Meng Lili, Tang Xulan, Zhu Huaming, Yu Dongzhen, Zhou Huiqun, Su Kaiming, Wang Yue, Wang Jian, Yin Shankai
Department of Otolaryngology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China.
Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China.
Sleep Breath. 2016 May;20(2):627-34. doi: 10.1007/s11325-015-1262-3. Epub 2015 Sep 30.
Lipid metabolism disorder is recognized to be associated with obstructive sleep apnea (OSA); however, inconsistent results have been reported. The aim of this study was to evaluate the association between lipid profile and OSA with adjustments for multiple confounding factors.
In total, 2983 subjects were recruited from the Shanghai Sleep Health Study (SSHS) during 2007-2013. Data for overnight polysomnography (PSG) parameters, serum lipids, fasting blood glucose, insulin levels, and anthropometric measurements were collected. Multivariable logistic regression analyses were used to determine the correlation between lipid profile and OSA with adjustments for confounders including lipids, age, gender, Epworth sleepiness scale, body mass index, waist/hip ratio, glucose, insulin resistance, hypertension, and smoking.
The prevalence of hyper total cholesterol (TC), hyper triglycerides, hypo high-density lipoprotein cholesterol, hyper low-density lipoprotein cholesterol (LDL-C), hyper apolipoprotein (apo) A-I, and hyper apoB differed significantly between the non-OSA and OSA patients. Without considering the interaction across different lipids, TC, LDL-C, and apoB were independently associated with OSA in primary multivariable logistic regression analyses; the odds ratios (ORs) and 95 % confidence intervals (CIs) were 1.262 (1.109-1.438), 1.432 (1.233-1.664), and 5.582 (2.643-11.787), respectively. However, only LDL-C (OR = 1.430, 95 % CI = 1.221-1.675) was found to be an independent risk factor for OSA in further multivariable logistic regression analyses.
We demonstrated that patients with OSA had a higher percentage of dyslipidemia than subjects without OSA. Of the various components in serum lipid, only LDL-C was independently associated with OSA.
脂质代谢紊乱被认为与阻塞性睡眠呼吸暂停(OSA)相关;然而,已有报道结果并不一致。本研究的目的是评估在调整多个混杂因素后血脂水平与OSA之间的关联。
2007年至2013年期间,从上海睡眠健康研究(SSHS)中总共招募了2983名受试者。收集了夜间多导睡眠图(PSG)参数、血脂、空腹血糖、胰岛素水平和人体测量数据。采用多变量逻辑回归分析来确定血脂水平与OSA之间的相关性,并对包括血脂、年龄、性别、爱泼华嗜睡量表、体重指数、腰臀比、血糖、胰岛素抵抗、高血压和吸烟等混杂因素进行了调整。
非OSA患者和OSA患者之间,高总胆固醇(TC)、高甘油三酯、低高密度脂蛋白胆固醇、高低密度脂蛋白胆固醇(LDL-C)、高载脂蛋白(apo)A-I和高apoB的患病率存在显著差异。在不考虑不同血脂之间相互作用的情况下,在原发性多变量逻辑回归分析中,TC、LDL-C和apoB与OSA独立相关;比值比(OR)和95%置信区间(CI)分别为1.262(1.109 - 1.438)、1.432(1.233 - 1.664)和5.582(2.643 - 11.787)。然而,在进一步的多变量逻辑回归分析中,仅发现LDL-C(OR = 1.430,95% CI = 1.221 - 1.675)是OSA的独立危险因素。
我们证明,与无OSA的受试者相比,OSA患者血脂异常的比例更高。在血清脂质的各种成分中,只有LDL-C与OSA独立相关。