医学
血压
内科学
艾普沃思嗜睡量表
气道正压
疾病
心脏病学
阻塞性睡眠呼吸暂停
呼吸暂停
多导睡眠图
作者
Sandhya Matthes,Marcel Treml,Ludger Grote,Jan Hedner,Ding Zou,Maria R. Bonsignore,Jean-Louis Pépin,Sébastien Bailly,Silke Ryan,Walter T. McNicholas,Sofia Schiza,Johan Verbraecken,Athanasia Pataka,Paweł Śliwiński,Özen K. Başoğlu,Carolina Lombardi,Gianfranco Parati,Winfried Randerath
出处
期刊:The European respiratory journal
[European Respiratory Society]
日期:2024-10-31
卷期号:: 2401371-2401371
标识
DOI:10.1183/13993003.01371-2024
摘要
Background The “Baveno classification” replaced the apnoea hypopnoea index (AHI) with symptoms and comorbidities for treatment indication in obstructive sleep apnoea (OSA). This study evaluates a modified Baveno classification which adds a validated cardiovascular disease (CVD) risk score and acknowledges severe breathing disturbances. Method OSA patients from the European Sleep Apnoea Data Base (ESADA) were retrospectively allocated into CVD risk groups 1–3 based on SCORE-2 and the ESC guidelines. AHI ≥30 /h conferred strong treatment indication. When AHI was <30/h, symptoms and CVD risk dictated allocation to weak, intermediate or strong treatment indication group. Change in Epworth Sleepiness Scale (ESS) and office systolic blood pressure (SBP) at follow-up (12–24 months) under positive airway pressure (PAP) were assessed. Results 8625 patients were analysed (29% female, age 56 [49;64] years, BMI 31.9 [28.4;36.3] kg·m −2 ). Treatment indication was weak in 501 (6%), intermediate in 2085 (24%) and strong in 6039 (70%). There was a continuous increase in age, SBP, C-reactive protein and glycosylated haemoglobin from weak to strong (p<0.001). PAP prescription increased from 52% to 64% to 93% (weak to strong, p<0.001). The change in ESS score was −2, −4 and −5, respectively (p<0.001). Reductions of ≥3 mmHg of median SBP occurred when AHI was ≥30/h and in symptomatic patients with CVD risk levels>1 when AHI was <30/h. Conclusion This analysis provides supporting evidence for the key role of CVD risk assessment and severe breathing disturbances in the identification of OSA patients most likely to benefit from treatment.
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