Traaen G M, Øverland B, Aakerøy L, Hunt T E, Bendz C, Sande L, Aakhus S, Zaré H, Steinshamn S, Anfinsen O G, Loennechen J P, Gullestad L, Akre H
Department of Cardiology, Oslo University Hospital, Rikshospitalet, Oslo, Norway.
Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
Int J Cardiol Heart Vasc. 2019 Dec 19;26:100447. doi: 10.1016/j.ijcha.2019.100447. eCollection 2020 Feb.
Recent studies have suggested an association between sleep apnea (SA) and atrial fibrillation (AF). We aimed to study the prevalence, characteristics, risk factors and type of sleep apnea (SA) in ablation candidates with paroxysmal AF.
METHODS/RESULTS: We prospectively studied 579 patients with paroxysmal AF, including 157 women (27.1%) and 422 men (72.9%). Mean age was 59.9 ± 9.6 years and mean body mass index (BMI) 28.5 ± 4.5 kg/m. SA was diagnosed using polygraphy for two nights at home. The Epworth Sleepiness Scale (ESS), STOP-Bang Questionnaire, and Berlin Questionnaire (BQ) assessed the degree of SA symptoms. A total of 479 (82.7%) patients had an apnea-hypopnea index (AHI) ≥ 5, whereas moderate-severe SA (AHI ≥ 15) was diagnosed in 244 patients (42.1%). The type of SA was predominantly obstructive, with a median AHI of 12.1 (6.7-20.6) (range 0.4-85.8). The median central apnea index was 0.3 (0.1-0.7). AHI increased with age, BMI, waist and neck circumference, body and visceral fat. Using the Atrial Fibrillation Severity Scale and the SF-36, patients with more severe SA had a higher AF burden, severity and symptom score and a lower Physical-Component Summary score. Age, male gender, BMI, duration of AF, and habitual snoring were independent risk factors in multivariate analysis (AHI ≥ 15). We found no association between ESS and AHI (R = 0.003, p = 0.367).
In our AF population, SA was highly prevalent and predominantly obstructive. The high prevalence of SA detected in this study may indicate that SA is under-recognized in patients with AF. None of the screening questionnaires predicted SA reliably.
近期研究表明睡眠呼吸暂停(SA)与心房颤动(AF)之间存在关联。我们旨在研究阵发性房颤消融候选患者中睡眠呼吸暂停(SA)的患病率、特征、危险因素及类型。
方法/结果:我们前瞻性地研究了579例阵发性房颤患者,其中包括157名女性(27.1%)和422名男性(72.9%)。平均年龄为59.9±9.6岁,平均体重指数(BMI)为28.5±4.5kg/m²。在家中通过多导睡眠监测仪连续两晚诊断SA。采用爱泼沃斯思睡量表(ESS)、STOP-Bang问卷和柏林问卷(BQ)评估SA症状程度。共有479例(82.7%)患者呼吸暂停低通气指数(AHI)≥5,而244例(42.1%)患者被诊断为中重度SA(AHI≥15)。SA类型以阻塞性为主,AHI中位数为12.1(6.7 - 20.6)(范围0.4 - 85.8)。中枢性呼吸暂停指数中位数为0.3(0.1 - 0.7)。AHI随年龄、BMI、腰围和颈围、身体及内脏脂肪增加而升高。使用房颤严重程度量表和SF - 36量表,SA越严重的患者房颤负荷、严重程度及症状评分越高,而躯体健康综合评分越低。在多因素分析(AHI≥15)中,年龄、男性性别、BMI、房颤持续时间和习惯性打鼾是独立危险因素。我们发现ESS与AHI之间无关联(R = 0.003,p = 0.367)。
在我们的房颤患者群体中,SA非常普遍且以阻塞性为主。本研究中检测到的SA高患病率可能表明房颤患者中SA未得到充分认识。没有一种筛查问卷能够可靠地预测SA。