使用AASM和SEPAR标准对阻塞性睡眠呼吸暂停的严重程度分类:一个横截面重新分类分析
Joaquín Nieto-Pino1,2, Eva Retamal-Riquelme1, Mario Henriquez-Beltrán3,4,5
1Unidad de Sueño Adulto, Hospital Clínico La Florida, Santiago, Chile.
概括
西班牙肺部和胸部外科学会 (SEPAR) 的分类识别了比传统的呼吸暂停-呼吸暂停指数 (AHI) 方法更严重的阻塞性睡眠暂停 (OSA) 病例. 这凸显了在OSA诊断中需要进行多维评估的必要性.
科学领域:
- 睡眠医学 睡眠医学
- 呼吸系统医学 呼吸系统医学
- 临床诊断 临床诊断 临床诊断
背景情况:
- 阻塞性睡眠呼吸暂停 (OSA) 的严重程度通常是根据美国睡眠医学学会 (AASM) 的指南使用呼吸暂停-呼吸暂停指数 (AHI) 来评估的.
- 西班牙肺部和胸部外科学会 (SEPAR) 提出了一种多维方法,将OSA分类的额外临床因素纳入其中.
研究的目的:
- 为了比较AASM (基于AHI) 和SEPAR (多维) 分类系统之间的OSA严重性分布.
- 评估整合临床因素对成年人群中OSA严重程度分类的影响.
主要方法:
- 采用了回顾性横截面研究设计.
- 使用AHI标准 (AASM) 和SEPAR系统对OSA严重程度进行分类,其中包括总记录时间,T90% (氧血球和时间<90%),BMI,ESS和心血管病史.
- 过渡分析和后勤回归模型被用来评估重新分类模式,并确定与基于SEPAR的严重程度相关的因素.
主要成果:
- 与AASM标准相比,SEPAR分类发现严重OSA病例的比例明显高 (72.8%与50.9%,p < 0.001).
- 根据SEPAR重新归类为严重的OSA的关键因素是T90%和BMI.
- 大约24%的患者最初被AASM标准分类为中度OSA,被SEPAR重新分类为严重.
结论:
- 单靠AHI可能会低估OSA的严重程度,特别是在肥胖个体或有显著夜间低氧症的人中.
- SEPAR多维分类识别出更多的严重OSA病例,可能改善治疗优先级和风险分层.
- 建议采用综合临床因素的更广泛的评估策略,以便在临床实践中准确评估OSA.
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