来自五分钟心电图的减速能力预测了一般人口的死亡率
Alexander Steger1,2, Petra Barthel3, Alexander Müller3
1Department of Internal Medicine I, TUM University Hospital, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany. alexander.steger@tum.de.
Scientific reports
|December 20, 2024
概括
简短的心电图 (ECG) 记录可以有效地预测一般人群的长期死亡风险. 来自5分钟心电图的减速能力 (DC) 是自动化人口查的可行工具.
科学领域:
- 心脏病学 心脏病学
- 预防医学 预防医学
- 生物统计学 生物统计学
背景情况:
- 慢性病率上升和人口老龄化需要在一般医疗保健中进行有效的风险分层.
- 减速能力 (DC),通常来自于24小时的霍尔特心电图,对心脏病患者的风险评估有希望.
- 短期心电图对于DC的全民查的有用性仍然未得到充分研究.
研究的目的:
- 为了研究从短期 (5分钟) ECG中获得的减速能力 (DC) 的有效性,作为一个可扩展的,自动化的工具.
- 评估来自简短心电图的DC对一般人口长期死亡风险的预测价值.
主要方法:
- 利用了德国代表性基于人口的队列 (KORA-KMC-研究),其中有823名参与者参加了鼻节律.
- 计算的减速能力 (DC) 来自自动化5分钟的12心电图记录.
- 随访参与者平均13.4年,监测所有原因的死亡率.
主要成果:
- 参与者被分为低 (DC>4.5ms),中等 (2.5-4.5ms) 和高 (≤2.5ms) 风险组.
- 估计的13年死亡率为16.7% (低),23.5% (中等) 和49.1% (高) (p < 0.001).
- 高风险DC类别 (DC ≤2.5ms) 在调整混因素后独立预测死亡率增加 (HR 2.34).
结论:
- 从简短的自动化5分钟心电图中获得的减速能力是长期死亡率的强有力的预测指标.
- 该方法为人口查和风险分层提供了一种可行和可扩展的方法.
- 从短心电图中自动化DC分析可以帮助识别所有死因死亡风险较高的个体.
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