Department of Internal Medicine, School of Medicine.
Department of Biostatistics, School of Public Health, and.
Am J Respir Crit Care Med. 2021 Sep 15;204(6):703-712. doi: 10.1164/rccm.202101-0055OC.
Untreated obstructive sleep apnea (OSA) is associated with adverse outcomes in patients with coronary artery disease (CAD). Continuous positive airway pressure (CPAP) is the most common treatment, but despite interventions addressing established adherence determinants, CPAP use remains poor. To determine whether physiological traits that cause OSA are associated with long-term CPAP adherence in patients with CAD. Participants in the RICCADSA (Randomized Intervention with CPAP in CAD and OSA) trial with objective CPAP adherence (h/night) over 2 years and analyzable raw polysomnography data were included ( = 249). The physiological traits-loop gain, arousal threshold (ArTH), pharyngeal collapsibility (Vpassive), and pharyngeal muscle compensation (Vcomp)-were measured by using polysomnography. Linear mixed models were used to assess the relationship between the traits and adherence. We also compared actual CPAP adherence between those with physiologically predicted "poor" adherence (lowest quartile of predicted adherence) and those with physiologically predicted "good" adherence (all others). The median (interquartile range) CPAP use declined from 3.2 (1.0-5.8) h/night to 3.0 (0.0-5.6) h/night over 24 months ( < 0.001). In analyses adjusted for demographics, anthropometrics, OSA characteristics, and clinical comorbidities, a lower ArTH was associated with worse CPAP adherence (0.7 h/SD of the ArTH; = 0.021). Both high and low Vcomp were associated with lower adherence ( = 0.008). Those with predicted poor adherence exhibited markedly lower CPAP use than those with predicted good adherence for up to 2 years of follow-up (group differences of 2.0-3.2 h/night; < 0.003 for all). A low ArTH, as well as a very low and high Vcomp, are associated with worse long-term CPAP adherence in patients with CAD and OSA. Physiological traits-alongside established determinants-may help predict and improve CPAP adherence. Clinical trial registered with www.clinicaltrials.gov (NCT00519597).
未经治疗的阻塞性睡眠呼吸暂停(OSA)与冠状动脉疾病(CAD)患者的不良结局相关。持续气道正压通气(CPAP)是最常见的治疗方法,但尽管针对已确定的依从性决定因素进行了干预,CPAP 的使用率仍然很低。为了确定导致 OSA 的生理特征是否与 CAD 患者的长期 CPAP 依从性相关。RICCADSA(CAD 和 OSA 中 CPAP 随机干预)试验中接受了 2 年客观 CPAP 依从性(h/夜)测量且可分析原始多导睡眠图数据的参与者(n=249)被纳入研究。通过多导睡眠图测量生理特征-环路增益、觉醒阈值(ArTH)、咽塌陷(Vpassive)和咽肌补偿(Vcomp)。使用线性混合模型评估特征与依从性之间的关系。我们还比较了生理预测“依从性差”(预测依从性最低四分位数)和“依从性好”(所有其他)患者之间的实际 CPAP 依从性。CPAP 使用中位数(四分位距)从 24 个月时的 3.2(1.0-5.8)h/夜下降至 3.0(0.0-5.6)h/夜( < 0.001)。在调整人口统计学、人体测量学、OSA 特征和临床合并症后,ArTH 降低与 CPAP 依从性较差相关(ArTH 每 0.7 SD; = 0.021)。高 Vcomp 和低 Vcomp 均与较低的依从性相关( = 0.008)。在长达 2 年的随访中,预测依从性差的患者 CPAP 使用量明显低于预测依从性好的患者(组间差异 2.0-3.2 h/夜; < 0.003 所有)。CAD 和 OSA 患者中,ArTH 较低以及 Vcomp 非常低和高均与 CPAP 长期依从性较差相关。生理特征-除了已确定的决定因素-可能有助于预测和改善 CPAP 依从性。该研究已在 www.clinicaltrials.gov 注册(NCT00519597)。