一个优化检测阳性心房的程序:RITMO研究
Rodrigo Paashaus de Andrade1, Priscila Valverde Oliveira Vitorino2, Ana Luiza Lima Sousa1,3
1Programa de Pós-graduação em Ciências da Saúde - Faculdade de Medicina - Universidade Federal de Goiás, Goiânia, GO - Brasil.
Arquivos brasileiros de cardiologia
|October 1, 2024
概括
一个简单的策略有效地识别了高血压或心力衰竭的无症状老年患者的心房动 (AF). 这种方法在13.7%的参与者中检测到AF,强调了其在早期诊断中的实用性.
科学领域:
- 心脏病学 心脏病学
- 医学诊断 医学诊断 医学诊断
- 公共卫生 公共卫生
背景情况:
- 心房动 (AF) 是一种常见的心律失常症,在无症状个体中经常被诊断为不足.
- 早期识别AF对于预防诸如中风等相关并发症至关重要.
研究的目的:
- 评估一个简单的战略,以优化心房的检测.
- 评估基于风险的查协议的有效性,以确定风险人群中的AF.
主要方法:
- 纳入了65岁以上的无症状患者,患有高血压或心力衰竭.
- 用中风风险分析 (SRA) 算法对一小时的心电图进行了应用,以评估AF风险.
- 高风险患者使用便携式心电图装置 (Kardia 6) 七天检测AF发作.
主要成果:
- 在408名参与者中,13名 (3.2%) 的AF最初被确定.
- 120名患者 (29.4%) 被归类为高风险的AF.
- 在完成该方案的高风险患者中,在43人中检测到AF (38.7%的高风险完成者).
结论:
- RITMO研究的策略证明,在高血压或心力衰竭的无症状老年患者中识别AF是有效的.
- 在研究人群中,AF的总发病率为13.7% (56/408).
- 这种简单,风险分层的方法提高了在初级保健机构的AF检测.
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