新型风险评分模型用于预测服用华法林的心房的患者抗凝血控制不良的风险
Komsing Methavigul1, Rungroj Krittayaphong2
1Department of Cardiology, Central Chest Institute of Thailand, Nonthaburi 11000, Thailand.
Asian biomedicine :, research, reviews and news..
|June 27, 2025
概括
一个新的风险评分,SHOB-D2AF,有效地预测心房动 (AF) 患者的抗凝血控制不佳. 这种新的得分优于现有的SAME-TT2R2得分,提高了预测准确度,以便更好地管理患者.
科学领域:
- 心脏病学 心脏病学
- 药理学 药理学是指药理学的学科.
- 临床研究 临床研究
背景情况:
- SAMe-TT2R2得分在预测抗凝血患者治疗范围 (TTR) 中次优时间的准确性有限.
- 对抗凝血控制的有效预测对于管理心房动 (AF) 患者至关重要.
研究的目的:
- 开发和验证一种新的风险评分,用于预测心房患者抗凝控制不良 (TTR <65%) 的风险.
- 将新风险评分的预测性能与已建立的SAME-TT2R2评分进行比较.
主要方法:
- 在泰国COOL AF注册表中,从27家医院 (2014-2017年) 招募AF患者.
- 多变量逻辑回归分析,以确定抗凝控制不良的预测因素 (TTR <65%).
- 用C统计,净重新分类指数 (NRI) 和综合歧视指数 (IDI) 来生成新的SHOB-D2AF得分并与SAME-TT2R2进行比较.
主要成果:
- 新的SHOB-D2AF得分与SAME-TT2R2得分相比显示出更好的预测性能 (C统计:0.584与0.506,P<0.001).
- 与抗凝不良风险增加相关的因素包括症状性AF,糖尿病,心力衰竭和出血史.
- 与SAME-TT2R2得分相比,SHOB-D2AF得分在重新分类方面显著改善,NRI为17.82%.
结论:
- SHOB-D2AF评分是一个新且优秀的工具,用于预测AF患者的抗凝血控制不良.
- 这种改进的预测能力可以帮助临床医生优化抗凝管理和患者的结果.
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