Stein James H, Stern Rebecca, Barnet Jodi H, Korcarz Claudia E, Hagen Erika W, Young Terry, Peppard Paul E
University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, H4/520 CSC (MC 3248), Madison, WI, 53792, USA.
Sleep Breath. 2016 May;20(2):813-7. doi: 10.1007/s11325-015-1181-3. Epub 2015 Apr 26.
The purpose of this study is to determine if apnea-hypopnea index (AHI) severity predicts future aortic pulse wave velocity (PWV) in the Wisconsin Sleep Cohort.
Applanation tonometry was used to derive carotid-to-femoral PWV a mean of 18 years (standard deviation 4) after overnight polysomnography. Multivariable regression models were created to describe prospective associations between baseline AHI and future PWV.
The 618 adults were mean 65 (7) years old (55 % male) with a mean body mass index of 31 (7) kg/m(2) at the tonometry visit. Mean baseline AHI was 4.6 (9.7) events/h. In multiple linear regression models adjusted for age (β = 0.13/year, standard error [SE] = 0.01, p < 0.001) and sex, higher log10AHI (β = 0.43/events/h, SE = 0.18, p = 0.02) was associated with PWV. After adjustment for waist circumference (β = 0.01/cm, SE = 0.01, p = 0.05) and height, the association between baseline log10AHI and future PWV was not statistically significant (p = 0.11), although the association with age persisted unchanged. Addition of covariates such as smoking status (current smoker β = 0.66, SE = 0.22, p = 0.002), diabetes mellitus status (β = 2.89, SE = 0.59, p < 0.001), and systolic blood pressure (BP, β = 0.03/mmHg, SE = 0.01, p < 0.001) did not change the association. AHI did not interact with age or smoking status to predict PWV. A secondary analysis of nocturnal oxygen saturation parameters in 517 participants, 9 (2) years prior also did not show any significant relationships with future PWV.
The prospective association between AHI and PWV is confounded by body size and influenced by smoking, diabetes mellitus, and BP. Weight management, BP control, and smoking cessation may help prevent arterial stiffening associated with obstructive sleep apnea.
本研究旨在确定威斯康星睡眠队列中呼吸暂停低通气指数(AHI)的严重程度是否能预测未来的主动脉脉搏波速度(PWV)。
在夜间多导睡眠图检查后平均18年(标准差4年),采用压平式眼压计测量颈股PWV。建立多变量回归模型以描述基线AHI与未来PWV之间的前瞻性关联。
618名成年人在眼压计检查时的平均年龄为65(7)岁(55%为男性),平均体重指数为31(7)kg/m²。平均基线AHI为4.6(9.7)次/小时。在调整年龄(β = 0.13/年,标准误[SE] = 0.01,p < 0.001)和性别后的多元线性回归模型中,较高的log10AHI(β = 0.43/次/小时,SE = 0.18,p = 0.02)与PWV相关。在调整腰围(β = 0.01/cm,SE = 0.01,p = 0.05)和身高后,基线log10AHI与未来PWV之间的关联无统计学意义(p = 0.11),尽管与年龄的关联保持不变。添加吸烟状态(当前吸烟者β = 0.66,SE = 0.22,p = 0.002)、糖尿病状态(β = 2.89,SE = 0.59,p < 0.001)和收缩压(BP,β = 0.03/mmHg,SE = 0.01,p < 0.001)等协变量并未改变这种关联。AHI与年龄或吸烟状态之间没有相互作用来预测PWV。对517名参与者9(2)年前夜间血氧饱和度参数的二次分析也未显示与未来PWV有任何显著关系。
AHI与PWV之间的前瞻性关联受到体型的混杂影响,并受吸烟、糖尿病和血压的影响。体重管理、血压控制和戒烟可能有助于预防与阻塞性睡眠呼吸暂停相关的动脉僵硬。