调整的弗雷明汉得分:在流行病学研究中估计心血管风险的有效替代方案
Luiz Antônio Alves de Menezes-Júnior1,2,3, Samara Silva de Moura4, Júlia Cristina Cardoso Carraro5,6
1School of Nutrition, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil. luiz.menezes@ufop.edu.br.
BMC cardiovascular disorders
|March 16, 2025
概括
通过自我报告的高血压,可以有效估计弗雷明汉风险评分 (FRS),在没有客观措施的情况下,提供可靠的心血管风险评估替代方案. 这种适应的FRS表现出高准确性和相关性,在大型人群研究中非常有用.
科学领域:
- 心脏病学 心脏病学
- 流行病学 流行病学
- 公共卫生 公共卫生
背景情况:
- 弗雷明汉风险评分 (FRS) 是评估心血管风险的关键工具,它依赖于客观数据,如血压和脂质概况.
- 对于FRS所需的客观测量通常无法在大型人口调查中获得,这限制了其广泛应用.
研究的目的:
- 用主观的,自我报告的健康信息来评估FRS的预测性能.
- 在缺乏客观临床测量的场景中评估适应FRS模型的可行性.
主要方法:
- 一项涉及1414名男性轮班工人的横截面研究.
- 使用客观措施计算原始FRS和使用自我报告的高血压和/或脂质失调症进行调整的FRS.
- 使用卡帕系数和布兰德-阿尔特曼分析评估一致性;通过ROC曲线和AUC比较预测准确性.
主要成果:
- 调整后的FRS-SAH (自我报告的高血压) 与原来的FRS显示强烈的相关性 (r=0.9036).
- 所有经过调整的模型都显示出高精度,AUC>0.85.
- 自我报告的基于高血压的FRS (FRS-SAH) 显示出最高的相关性和预测准确性.
结论:
- 适应FRS有效估计心血管疾病 (CVD) 风险,显示高相关性,敏感性,特异性和准确性.
- 基于自我报告的高血压的FRS是CVD风险评估的可靠替代方案,当客观数据无法获得时.
- 这种方法提高了FRS在大规模流行病学研究中的实用性.
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