The ECG abnormalities in persons with chronic disorders of consciousness.

IF 2.6 4区 医学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Medical & Biological Engineering & Computing Pub Date : 2024-10-01 Epub Date: 2024-05-16 DOI:10.1007/s11517-024-03129-5
Xiaodan Tan, Minmin Luo, Qiuyi Xiao, Xiaochun Zheng, Jiajia Kang, Daogang Zha, Qiuyou Xie, Chang'an A Zhan
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Abstract

We aimed to investigate the electrocardiogram (ECG) features in persons with chronic disorders of consciousness (DOC, ≥ 29 days since injury, DSI) resulted from the most severe brain damages. The ECG data from 30 patients with chronic DOC and 18 healthy controls (HCs) were recorded during resting wakefulness state for about five minutes. The patients were classified into vegetative state (VS) and minimally conscious state (MCS). Eight ECG metrics were extracted for comparisons between the subject subgroups, and regression analysis of the metrics were conducted on the DSI (29-593 days). The DOC patients exhibit a significantly higher heart rate (HR, p = 0.009) and lower values for SDNN (p = 0.001), CVRR (p = 0.009), and T-wave amplitude (p < 0.001) compared to the HCs. However, there're no significant differences in QRS, QT, QTc, or ST amplitude between the two groups (p > 0.05). Three ECG metrics of the DOC patients-HR, SDNN, and CVRR-are significantly correlated with the DSI. The ECG abnormalities persist in chronic DOC patients. The abnormalities are mainly manifested in the rhythm features HR, SDNN and CVRR, but not the waveform features such as QRS width, QT, QTc, ST and T-wave amplitudes.

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慢性意识障碍患者的心电图异常。
我们的目的是研究由最严重的脑损伤导致的慢性意识障碍(DOC,受伤后≥29天,DSI)患者的心电图(ECG)特征。研究人员记录了 30 名慢性意识障碍患者和 18 名健康对照组(HCs)在静息清醒状态下约五分钟的心电图数据。患者被分为植物人状态(VS)和微意识状态(MCS)。提取了八项心电图指标,用于受试者亚组之间的比较,并对这些指标进行了 DSI(29-593 天)回归分析。DOC 患者的心率(HR,p = 0.009)明显较高,SDNN(p = 0.001)、CVRR(p = 0.009)和 T 波振幅(p 0.05)的值较低。DOC 患者的三项心电图指标--RR、SDNN 和 CVRR--与 DSI 显著相关。慢性 DOC 患者的心电图异常持续存在。这些异常主要表现在心律特征 HR、SDNN 和 CVRR 上,而波形特征如 QRS 宽度、QT、QTc、ST 波和 T 波振幅则没有异常。
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来源期刊
Medical & Biological Engineering & Computing
Medical & Biological Engineering & Computing 医学-工程:生物医学
CiteScore
6.00
自引率
3.10%
发文量
249
审稿时长
3.5 months
期刊介绍: Founded in 1963, Medical & Biological Engineering & Computing (MBEC) continues to serve the biomedical engineering community, covering the entire spectrum of biomedical and clinical engineering. The journal presents exciting and vital experimental and theoretical developments in biomedical science and technology, and reports on advances in computer-based methodologies in these multidisciplinary subjects. The journal also incorporates new and evolving technologies including cellular engineering and molecular imaging. MBEC publishes original research articles as well as reviews and technical notes. Its Rapid Communications category focuses on material of immediate value to the readership, while the Controversies section provides a forum to exchange views on selected issues, stimulating a vigorous and informed debate in this exciting and high profile field. MBEC is an official journal of the International Federation of Medical and Biological Engineering (IFMBE).
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