红细胞分布宽度在阻塞性睡眠呼吸暂停中对重叠综合征的预测值
Asli Akyol Gurses1,2, Utku Ogan Akyildiz3
1Division of Clinical Neurophysiology, Department of Neurology, School of Medicine, Gazi University, Ankara, Türkiye.
Frontiers in neurology
|June 7, 2024
概括
红细胞分布宽度 (RDW) 可以帮助在严重阻塞性睡眠呼吸暂停患者中识别重叠综合征 (OSAS和COPD). 较高的RDW水平表明这种情况的可能性更高,有助于早期诊断和管理.
科学领域:
- 肺部医学 肺部医学
- 心脏病学 心脏病学
- 血液学 血液学 血液学
背景情况:
- 阻塞性睡眠呼吸暂停综合征 (OSAS) 和慢性阻塞性肺部疾病 (COPD) 是常见的疾病.
- 叠加综合症 (OVS),OSAS和COPD的同时出现,增加了心血管风险,需要早期识别.
- 有效的多学科后续对管理OVS患者至关重要.
研究的目的:
- 评估红细胞分布宽度 (RDW) 在患有严重OSAS的患者中的实用性.
- 确定RDW是否可以预测严重OSAS患者OVS的存在.
主要方法:
- 追溯分析96名患有严重OSAS的患者.
- 单独患有OSAS和患有OVS的患者之间的人口统计,多睡眠统计和实验室数据 (包括RDW) 的比较.
- 多变量后勤回归用于识别OVS的独立预测因子.
主要成果:
- 与仅使用OSAS的组相比,OVS组的平均年龄和RDW显著更高.
- 在调整了年龄,BMI和心血管风险因素后,增加的RDW仍然是OVS的重要预测因素.
- >13.65%的RDW值显示了78.3%的灵敏度和60%的特异性,用于预测严重的OSAS中的OVS.
结论:
- RDW是诊断严重OSAS患者OVS的可靠指标.
- 通过RDW识别OVS有助于有针对性的多学科后续行动和管理.
- 早期发现和管理OVS可以帮助预防不良的心血管结果.
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