2016年ESC诊断算法是否有用在基于人口的研究中评估慢性心力衰竭的患病率?
Aleksandra Puch-Walczak1, Katarzyna Kunicka2, Kacper Jagiełło3
1Department of Preventive Medicine and Education, Medical University of Gdansk, Gdańsk, Poland. apw@gumed.edu.pl.
Kardiologia polska
|February 20, 2024
概括
在一般人群中,慢性心力衰竭 (CHF) 的患病率是4.8%,使用了2016年ESC诊断算法. 这种算法适用于一般人口调查,用于针对性测试呼吸困难或先前的CHF诊断.
科学领域:
- 心脏病学 心脏病学
- 公共卫生 公共卫生
- 流行病学 流行病学
背景情况:
- 慢性心力衰竭 (CHF) 是一个重大的全球健康挑战.
- 使用当前的临床诊断标准,缺乏关于一般人群中慢性心血管疾病患病率的流行病学数据.
研究的目的:
- 评估2016年欧洲心脏病学会 (ESC) 对心脏不全症的诊断算法的关键组件的流行率.
- 评估2016年ESC CHF诊断算法在一般人群研究中的适用性.
主要方法:
- 北波兰313名成年人 (平均年龄55.2岁) 的代表性样本参与了这项研究.
- 数据收集包括纽约心脏协会 (NYHA) 课程的问卷,N-终端亲B型性尿素 (NT-proBNP) 水平,横心心回声和螺旋计.
主要成果:
- 13.7%的参与者报告呼吸不良 (NYHA II-IV类) 的情况.
- 由症状,高NT-proBNP和心声学异常来定义的CHF的患病率为4.8%.
- 在没有呼吸障碍的受试者中,六分之一的受试者有NT-proBNP升高;5.8%报告了先前的CHF诊断,在78%的受试者中,ESC算法证实了这一点.
结论:
- 2016年ESC诊断算法在这个一般成年人群样本中发现了4.8%的CHF患病率.
- 临床算法适用于一般人口的流行病学调查.
- 由于后勤和经济方面的考虑,心声学和NT-proBNP测试可能会优先考虑呼吸困难或心血管疾病史患者.
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