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昼夜 Holter ECG 变化与恰加斯心脏病患者心脏性猝死的关系。

Association between circadian Holter ECG changes and sudden cardiac death in patients with Chagas heart disease.

机构信息

Programa de Engenharia Biomédica, COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil. Centro Federal de Educação Tecnológica Celso Suckow da Fonseca, Rio de Janeiro, Brazil.

出版信息

Physiol Meas. 2020 Mar 6;41(2):025006. doi: 10.1088/1361-6579/ab6ebc.

Abstract

OBJECTIVE

Chagas disease (ChD) is a parasitic illness, largely spread over South America. ChD usually causes progressive myocardium damage, either by direct parasite action or through autoimmune response. Sudden cardiac death (SCD) is prevalent in the early disease stages, being associated with a high variety of ectopic cardiac beats. This study aims at applying heart rate variability (HRV) and heart rate turbulence (HRT) techniques over Holter electrocardiogram (ECG) records to investigate the association with SCD in Chagas heart disease (ChHD).

APPROACH

From a retrospective evaluation of a local database, the Holter records from 78 outpatients (34 female) were divided into groups: SCD deaths (20) and alive patients (56). To consider circadian autonomic changes, the analysis was performed in three periods: (a) entire 24 h record, (b) 12 h daylight period, and (c) the remaining 12 h including night rest. Eight variables were extracted using HRV and HRT approaches from each record and analysed together with the left ventricular ejection fraction (LVEF) estimated by echocardiography.

MAIN RESULTS

The set of parameters was reduced by both the forward- and backward-stepwise approach and classification was performed using the k-nearest neighbours method and a leave-one-out cross-validation in a set of ten bootstrap trials, where SCD data were randomly taken and repositioned to balance the groups. The best 24 h model predicted SCD with 89.9%  ±  0.9% accuracy using three HRV variables. The use of 12 h segments increased the accuracy up to 91.0%  ±  1.2% in a model with the standard deviation parameter measured during the day (SDNNday) and night (SDNNnight). Although considered as playing a major role in SCD, LVEF did not show an association with SCD in this sample.

SIGNIFICANCE

The degree of HRV and its circadian changes are associated with SCD in ChHD patients.

摘要

目的

恰加斯病(Chagas disease,ChD)是一种寄生虫病,主要在南美洲传播。ChD 通常会导致心肌进行性损伤,这种损伤既可以直接由寄生虫引起,也可以通过自身免疫反应引起。心脏性猝死(sudden cardiac death,SCD)在疾病早期很常见,与多种异位性心搏有关。本研究旨在通过动态心电图(Holter electrocardiogram,ECG)记录中的心率变异性(heart rate variability,HRV)和心率震荡(heart rate turbulence,HRT)技术,研究其与恰加斯心肌病(Chagas heart disease,ChHD)中 SCD 的相关性。

方法

从本地数据库的回顾性评估中,将 78 名门诊患者(34 名女性)的动态心电图记录分为 SCD 死亡组(20 人)和存活患者组(56 人)。为了考虑自主神经昼夜变化,分析在三个时间段进行:(a)整个 24 小时记录;(b)12 小时白天时段;(c)包括夜间休息在内的剩余 12 小时。从每个记录中使用 HRV 和 HRT 方法提取 8 个变量,并与超声心动图估计的左心室射血分数(left ventricular ejection fraction,LVEF)一起进行分析。

主要结果

使用前向和后向逐步方法对参数集进行了简化,使用 k-最近邻方法和在十次 bootstrap 试验中的留一交叉验证进行分类,其中 SCD 数据被随机抽取并重新定位以平衡组间关系。最佳的 24 小时模型使用三个 HRV 变量预测 SCD,准确率为 89.9%±0.9%。使用 12 小时段时,在白天(SDNNday)和夜间(SDNNnight)的标准偏差(SDNN)参数模型中,准确率提高至 91.0%±1.2%。尽管被认为在 SCD 中起主要作用,但在本样本中,LVEF 与 SCD 没有相关性。

意义

HRV 及其昼夜变化程度与 ChHD 患者的 SCD 相关。

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