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心声图心脏衰老模式预测心血管和非心血管事件,并反映生物年龄:SardiNIA研究
Antonello Ganau1, Marco Orrù2, Matteo Floris3,4
1Department of Medicine, Surgery, and Pharmacy, University of Sassari, Via Istria12, 07100 Sassari, Italy, Italy.
这项研究使用心声回声学揭示了不同的心脏衰老模式,识别了慢,正常和加速的轨迹. 这些模式预测心血管事件并反映生物年龄,为个性化预防提供新的策略.
科学领域:
- 心血管疾病的研究研究.
- 老年学是一门学科.
- 发现生物标志物的发现.
背景情况:
- 慢性年龄是心血管和非心血管疾病的主要危险因素.
- 个体的衰老速度各不相同,这导致了生物年龄概念作为功能衰退的衡量标准.
- 评估心脏衰老率可以提供对健康和疾病风险的个性化见解.
研究的目的:
- 分析时间学年龄和心声学特征之间的关联,以确定心脏衰老率.
- 评估不同的心脏衰老模式是否可以预测心血管和非心血管结果.
- 为了确定心脏衰老模式是否可以作为生物年龄的代理.
主要方法:
- 分析了2614名健康个体的心声学数据,以确定与年龄的关联.
- 根据95%的耐受性间隔确定了三种心脏衰老模式 ("缓慢"",正常"",加速").
- 追踪心血管事件 (初级) 和复合终点 (二级);计算心脏表型年龄 (HeartPhAge).
主要成果:
- 14.4%的人显示心脏衰老加速,76.9%的人呈现正常,8.7%的人呈现慢衰老.
- 心脏衰老模式显著预测了初级 (P=0.01) 和二级 (P=0.03至<0.0001) 终点,而不依赖于时间学年龄.
- 与时间学年龄相比,HeartPhAge在缓慢衰老群体中显著年轻,在加速衰老群体中显著年长.
结论:
- 标准心声回声学可以识别不同的心脏衰老模式.
- 这些模式可以预测不良心血管和非心血管事件.
- 心脏衰老模式为个性化预防策略和强度提供了一种新的方法.
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