预测自发转换到鼻节律的概率得分在患有症状性心房的患者中,当更少可能是更多时?
Marco Valerio Mariani1, Nicola Pierucci1, Sara Trivigno1
1Department of Cardiovascular, Respiratory, Nephrological, Aenesthesiological and Geriatric Sciences, "Sapienza" University of Rome, 00161 Rome, Italy.
Journal of clinical medicine
|April 9, 2024
概括
一个新的得分预测了急诊室心房动患者的自发转换到鼻腔节律. 这种工具有助于医生有效及时管理心房动.
科学领域:
- 心脏病学 心脏病学
- 紧急医疗 紧急医疗
- 临床预测模型临床预测模型
背景情况:
- 在急诊室 (ED) 患者中,自发转换为鼻节律 (SCV) 的稳定,有症状的心房动 (AF) 患者尚未得到充分理解.
- 预测SCV对于ED中有效的AF管理至关重要.
研究的目的:
- 在血液动力学稳定,有症状的AF患者向ED提交的SCV到鼻腔节律 (SR) 的预测得分的开发和验证.
- 通过估计SCV概率,协助临床医生管理AF患者.
主要方法:
- 对连续入院ED的AF患者进行了回顾性观察性研究.
- 在6小时的"等待和观察"期间,使用多变量后勤分析开发和验证预测得分.
- 两个阶段:得分开发 (n=446) 和验证 (n=302).
主要成果:
- 开发了一个预测得分,包括:先前的SCV (3分),症状持续时间<24小时 (5分),年龄≥65岁 (3分) 和女性性别 (2分).
- 该模型根据SCV在6小时内发生的概率将患者分为三组.
- 预测模型表现出很好的准确性,AUC为0.707 (导出) 和0.701 (验证).
结论:
- 经验证的得分准确地预测了ED患者在稳定,有症状的心房动时自发转换为鼻节律的概率.
- 这一分数可以帮助医生优化AF管理策略.
- 该得分有助于在紧急情况下为AF患者做出及时和有效的治疗决策.
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