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机电不同步参数的 CRT 统计排名。

Statistical ranking of electromechanical dyssynchrony parameters for CRT.

机构信息

Service de Cardiologie, Hôpital Saint-Joseph, Paris, France.

Chief Medical Officer, Microport CRM, Clamart, France.

出版信息

Open Heart. 2019 Jan 21;6(1):e000933. doi: 10.1136/openhrt-2018-000933. eCollection 2019.

Abstract

OBJECTIVE

Mechanical evaluation of dyssynchrony by echocardiography has not replaced ECG in routine cardiac resynchronisation therapy (CRT) evaluation because of its complexity and lack of reproducibility. The objective of this study was to evaluate the potential correlations between electromechanical parameters (atrioventricular, interventricular and intraventricular from the dyssynchrony model presented in 2000), their ability to describe dyssynchrony and their potential use in resynchrony.

METHODS

455 sets of the 18 parameters of the model obtained in 91 patients submitted to various pacing configurations were evaluated two by two using a Pearson correlation test and then by groups according to their ability to describe dyssynchrony, using the Column selection method of machine learning.

RESULTS

The best parameter is duration of septal contraction, which alone describes 25% of dyssynchrony. The best groups of 3, 4 and ≥8 variables describe 59%, 73% and almost 100% of dyssynchrony, respectively. Left pre-ejection interval is highly and significantly correlated to a maximum of other variables, and its decrease is associated with the favourable evolution of all other correlated parameters. Increase in filling duration and decrease in duration of septum to lateral wall contraction difference are not associated with the favourable evolution of other parameters.

CONCLUSIONS

No single electromechanical parameter alone can fully describe dyssynchrony. The 18-parameter model can be simplified, but still requires at least 4-8 parameters. Decrease in left pre-ejection interval favourably drives resynchrony in a maximum of other parameters. Increase in filling duration and decrease in septum-lateral wall difference do not appear to be good CRT targets.

摘要

目的

由于超声心动图评估不同步的复杂性和可重复性差,其尚未替代心电图用于常规心脏再同步治疗(CRT)评估。本研究旨在评估机电参数(2000 年提出的不同步模型中的房室、室间和室内)之间的潜在相关性,它们描述不同步的能力及其在再同步中的潜在用途。

方法

对 91 例患者的 455 组模型的 18 个参数进行了两两评估,使用 Pearson 相关检验,然后根据其描述不同步的能力,使用机器学习的列选择方法进行分组评估。

结果

最佳参数是间隔收缩持续时间,单独可描述 25%的不同步。最好的 3、4 和≥8 个变量组分别描述 59%、73%和几乎 100%的不同步。左室射血前期与其他最多变量高度且显著相关,其缩短与所有其他相关参数的有利变化相关。充盈持续时间增加和间隔到侧壁收缩差异的持续时间减少与其他参数的有利变化无关。

结论

没有单个机电参数可以完全描述不同步。18 个参数模型可以简化,但仍需要至少 4-8 个参数。左室射血前期缩短最大程度地促进了其他参数的再同步。充盈持续时间增加和间隔到侧壁差异减少似乎不是 CRT 的良好目标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/899e/6347881/a7a6db639f20/openhrt-2018-000933f01.jpg

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