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P 波峰时间作为心电图参数预测二尖瓣反流患者左心室舒张功能障碍的价值。

Usefulness of P-wave peak time as an electrocardiographic parameter in predicting left ventricular diastolic dysfunction in patients with mitral regurgitation.

机构信息

Department of Cardiology, Seirei Mikatahara General Hospital, Hamamatsu-City, Shizuoka, Japan.

Department of Cardiology, Hamamatsu University School of Medicine, Hamamatsu-City, Shizuoka, Japan.

出版信息

Ann Noninvasive Electrocardiol. 2022 Nov;27(6):e13000. doi: 10.1111/anec.13000. Epub 2022 Aug 16.

Abstract

INTRODUCTION

Conventional Doppler measurements have limitations in predicting left ventricular diastolic dysfunction (LVDD) in patients with mitral regurgitation (MR). Recently, electrocardiographic P-wave peak time (PWPT) has been proposed as a parameter of detecting LVDD. This study aimed to evaluate the association between PWPT and left ventricular end-diastolic pressure (LVEDP) in patients with MR.

METHODS

We performed echocardiography and cardiac catheterization in 82 patients with moderate or severe MR. We classified patients into two groups: low LVEDP group (L-LVEDP) (LVEDP <16 mmHg, n = 40) and high LVEDP group (H-LVEDP) (LVEDP ≥16 mmHg, n = 42). We evaluated LVDD and PWPT based on echocardiographic and electrocardiographic findings in both groups.

RESULTS

The PWPT in lead II (PWPT ) was significantly longer in patients in the H-LVEDP group than in those in the L-LVEDP group (67 vs. 47 ms, p < .001). Using correlation analysis, LVEDP was positively correlated with PWPT (r = .577, p < .001). Using multivariate analysis, PWPT was found to be an independent predictor of increased LVEDP (95% CI: 0.1030-0.110; p < .001). Using receiver operating characteristic (ROC) curve analysis, the optimal cutoff value of PWPT for predicting elevated LVEDP was 58.9 ms, with a sensitivity of 80.0% and a specificity of 73.8% (area under curve: 0.809, 95% CI: 0.713-0.905).

CONCLUSION

To the best of our knowledge, this is the first study to assess the effect of a significant valvular disease on PWPT in lead II. These findings suggest that prolonged PWPT may be an independent predictor of increased LVEDP in patients with moderate or severe MR.

摘要

简介

传统的多普勒测量在预测二尖瓣反流(MR)患者的左心室舒张功能障碍(LVDD)方面存在局限性。最近,心电图 P 波峰时间(PWPT)已被提出作为检测 LVDD 的参数。本研究旨在评估 PWPT 与 MR 患者的左心室舒张末期压(LVEDP)之间的关系。

方法

我们对 82 例中重度 MR 患者进行了超声心动图和心导管检查。我们将患者分为两组:低 LVEDP 组(L-LVEDP)(LVEDP<16mmHg,n=40)和高 LVEDP 组(H-LVEDP)(LVEDP≥16mmHg,n=42)。我们根据两组的超声心动图和心电图检查结果评估 LVDD 和 PWPT。

结果

H-LVEDP 组患者的 II 导联 PWPT(PWPT )明显长于 L-LVEDP 组(67 比 47ms,p<0.001)。通过相关分析,LVEDP 与 PWPT 呈正相关(r=0.577,p<0.001)。通过多元分析,PWPT 被发现是 LVEDP 升高的独立预测因子(95%置信区间:0.1030-0.110;p<0.001)。通过接受者操作特征(ROC)曲线分析,PWPT 预测 LVEDP 升高的最佳截断值为 58.9ms,其敏感性为 80.0%,特异性为 73.8%(曲线下面积:0.809,95%置信区间:0.713-0.905)。

结论

据我们所知,这是第一项评估严重瓣膜病对 II 导联 PWPT 影响的研究。这些发现表明,PWPT 延长可能是中重度 MR 患者 LVEDP 升高的独立预测因子。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d25/9674782/18ae7f411a49/ANEC-27-e13000-g005.jpg

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