使用电子健康记录识别与阻塞性睡眠呼吸暂停相关的患者并发症集群
Tue T Te1, Brendan T Keenan1, Olivia J Veatch2
1Division of Sleep Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
概括
阻塞性睡眠呼吸暂停 (OSA) 与许多健康问题有关,这些联系因年龄和性别而异. 电子健康记录显示了基于并发症的五个不同的患者子组,突出了个性化OSA管理的需要.
科学领域:
- 睡眠医学 睡眠医学
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
背景情况:
- 阻塞性睡眠呼吸暂停 (OSA) 是一种普遍存在的疾病,对健康有重大影响.
- 了解与OSA相关的并发症负担对于有效的患者管理至关重要.
- 电子健康记录 (EHR) 为研究大量患者群体和复杂的健康状况提供了强大的工具.
研究的目的:
- 为了量化阻塞性睡眠呼吸暂停 (OSA) 患者的并发症负担.
- 调查OSA和并发症之间的关系是否因性别或年龄而异.
- 根据使用EHR数据的共同并发症来识别不同的患者亚型.
主要方法:
- 利用经过验证的基于EHR的表型来识别OSA病例和匹配的对照.
- 使用条件后勤回归来比较20种常见的并发病的流行率.
- 应用隐性类别分析以根据并发症模式定义患者亚型.
主要成果:
- 与对照组相比,患有OSA的患者表现出所有20种常见并发症的可能性更高.
- 在女性和年轻患者中,OSA和并发症之间的关联通常更强.
- 确定了五个不同的OSA患者子组:高并发症负担,低并发症负担,心血管并发症,炎症状况和较少肥胖,以及炎症状况和肥胖.
结论:
- 电子健康数据有效地揭示了OSA的健康负担和异质性.
- 基于并发症的新型OSA亚型可以为疾病结果和临床护理提供信息.
- 喘是一种异质的疾病,需要个性化治疗策略.
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