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心肌梗死后ST段和T波的早搏后变化作为死亡风险预测指标

Post-extrasystolic variation of ST segment and T wave as a mortality risk predictor after myocardial infarction.

作者信息

Dirschinger Ralf J, Müller Alexander, Barthel Petra, Steger Alexander, Dommasch Michael, Bauer Axel, Laugwitz Karl-Ludwig, Schmidt Georg, Sinnecker Daniel

机构信息

Department of Internal Medicine I, University Hospital rechts der Isar, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.

Gefäßpraxis im Tal, Munich, Germany.

出版信息

Front Physiol. 2025 Jan 17;15:1505242. doi: 10.3389/fphys.2024.1505242. eCollection 2024.

Abstract

AIMS

Efficient use of preventive cardiac therapies is often limited by inefficient risk prediction, calling for new prediction tools. Ventricular premature complexes (VPCs) elicit electrocardiographic changes in the repolarization of the first post-extrasystolic normal beat. The aim of this study was to assess whether this conveys prognostic information regarding the mortality risk of cardiac patients.

METHODS

PEST was calculated from 30-min ECGs obtained from 941 survivors of acute myocardial infarction (AMI) as mean difference between the sum of squared voltages from three orthogonal leads (XYZ) of the first (post-extrasystolic) and second (reference) beat after each VPC, in a time window between the limits ϕ and ϕ. Optimal limits yielding a maximum area under the receiver-operating characteristics (ROC) curve were determined by systematic testing, covering the time window from the J point to the end of the T wave. A strong association was found with ϕ/ϕ encompassing 40-230 ms after the J point, which was used to calculate PEST in the analysis. Kaplan-Meier curves and univariable/multivariable Cox proportional hazards models were used to study mortality prediction by PEST. The findings were validated in an independent cohort of 1.788 general population subjects aged 60 years or older.

RESULTS

The area under the ROC curve for PEST was 0.72, with an optimum cutoff at ≤ -6.69 mV. The 88 patients with PEST values below this cutoff had a considerably higher mortality than the remainder of the patients (25% vs. 5.8%, p < 0.0001; univariable hazard ratio 4.7, 95% CI 2.4-12.0, p < 0.001). In a multivariable Cox regression analysis considering left-ventricular ejection fraction, presence of diabetes mellitus, and Global Registry of Acute Coronary Events (GRACE) score, PEST remained significantly associated with mortality (hazard ratio 3.6, 95% CI 1.9-6.9, p < 0.0001). In the validation cohort, abnormal PEST was also associated with significantly increased 4-year mortality (11.9% vs. 4.3%, p = 0.00095).

CONCLUSION

PEST is a strong independent predictor of all-cause mortality in AMI survivors and elderly subjects from the general population. While the pathophysiology of this association remains to be investigated, PEST may complement current risk prediction tools in various clinical settings.

摘要

目的

预防性心脏治疗的有效应用常常受到低效风险预测的限制,因此需要新的预测工具。室性早搏(VPCs)会引起早搏后第一个正常搏动复极化的心电图变化。本研究的目的是评估这是否能传达有关心脏病患者死亡风险的预后信息。

方法

从941例急性心肌梗死(AMI)幸存者的30分钟心电图中计算PEST,即每次VPC后第一个(早搏后)和第二个(参考)搏动的三个正交导联(XYZ)平方电压总和的平均差值,时间窗为极限值ϕ和ϕ之间。通过系统测试确定在受试者工作特征(ROC)曲线下产生最大面积的最佳极限值,覆盖从J点到T波结束的时间窗。发现J点后40 - 230毫秒的ϕ/ϕ与之有很强的关联,在分析中用其计算PEST。采用Kaplan - Meier曲线和单变量/多变量Cox比例风险模型研究PEST对死亡率的预测。研究结果在一个由1788名60岁及以上普通人群组成的独立队列中得到验证。

结果

PEST的ROC曲线下面积为0.72,最佳截断值为≤ -6.69 mV。88例PEST值低于此截断值的患者死亡率明显高于其余患者(25%对5.8%,p < 0.0001;单变量风险比4.7,95% CI 2.4 - 12.0,p < 0.001)。在考虑左心室射血分数、糖尿病的存在以及急性冠状动脉事件全球注册(GRACE)评分的多变量Cox回归分析中,PEST仍与死亡率显著相关(风险比3.6,95% CI 1.9 - 6.9,p < 0.0001)。在验证队列中,异常PEST也与4年死亡率显著增加相关(11.9%对4.3%,p = 0.00095)。

结论

PEST是AMI幸存者和普通人群中老年受试者全因死亡率的强有力独立预测指标。虽然这种关联的病理生理学仍有待研究,但PEST可能在各种临床环境中补充当前的风险预测工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32c5/11782248/0293a2795ac8/fphys-15-1505242-g001.jpg

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