亚洲人睡眠呼吸障碍的新型预测得分:那加哈马研究
Takeshi Matsumoto1, Kimihiko Murase2, Yasuharu Tabara3
1Department of Respiratory Medicine, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan; Department of Respiratory Medicine, Saiseikai-Noe Hospital, 1-3-25 Furuichi, Jyoto-ku, Osaka, 536-0001, Japan.
Respiratory investigation
|March 8, 2026
概括
一个新的HANDSOME评分有效地识别了亚洲人群中具有中度至严重睡眠呼吸障碍 (SDB) 高风险的个体. 该工具改进了现有的SDB检测选方法.
科学领域:
- 睡眠医学 睡眠医学
- 公共卫生 公共卫生
- 心脏病学 心脏病学
背景情况:
- 目前用于睡眠呼吸障碍 (SDB) 的查工具缺乏准确性,特别是在亚洲人群中.
- 早期发现SDB对于预防相关的健康并发症至关重要.
研究的目的:
- 确定与亚洲人群中SDB相关的因素.
- 制定一个客观的风险评分来识别高风险的个人SDB.
主要方法:
- 对来自日本纳加哈马研究的6375名参与者 (发现队列) 和1338名参与者 (验证队列) 的横截面分析.
- 使用手腕动图 (Acti-ODI3%) 评估睡眠呼吸障碍 (SDB),中度至严重的SDB定义为Acti-ODI3% ≥15/h.
- 一个风险评分系统,HANDSOME评分,是使用加权预测器开发的.
主要成果:
- 在HANDSOME分数中包含高血压,年龄 (≥60),夜,糖尿病,打,肥胖和MEn (性别).
- 该得分显示,与SDB患病率 (P < 0.001) 和高诊断准确度 (AUC = 0.833) 有着强烈的线性关联.
- 3点的切线达到97.4%的灵敏度和43.0%的特异性,而8点的切线优化了特异性 (93.5%),以牺牲灵敏度 (36.2%).
结论:
- HANDSOME评分是一个简单,实用的工具,用于识别有中度至重度SDB高风险的个体.
- 这个分数是专门为亚洲人群量身定制的,解决了当前查方法的局限性.
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