Different implications of daytime and nighttime heart rate variability on total burden of cerebral small vascular disease in patients with nondisabling ischemic cerebrovascular events.

IF 2.8 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS
Frontiers in Cardiovascular Medicine Pub Date : 2024-10-21 eCollection Date: 2024-01-01 DOI:10.3389/fcvm.2024.1434041
Zhixiang Zhang, Yijun Lv, Qian Wang, Yan Wang, Min Zhang, Yongjun Cao
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Abstract

Objective: This study aimed to explore the relationship between total burden of cerebral small vessel disease (CSVD) and daytime and nighttime heart rate variability (HRV) parameters.

Method: Consecutive patients with nondisabling ischemic cerebrovascular events were recruited from the cerebrovascular disease clinic of Changzhou Second People's Hospital between January 2022 and June 2023. A total of 144 enrolled participants were divided into a mild CSVD group (74 patients) and a moderate-to-severe CSVD group (70 patients) based on total burden of CSVD. Various HRV parameters measured during 24-h, 4-h daytime, and 4-h nighttime periods (including natural log-transformed [ln] root mean square of successive RR interval differences [RMSSD], ln absolute power of the high-frequency band [0.15-0.4 Hz] [HF], ln absolute power of the low-frequency band [0.04-0.15 Hz][LF], and LF-to-HF ratio [LF/HF]) were then assessed in the 2 groups. Spearman correlation analysis was used to assess the correlation between total burden of CSVD and HRV parameters. HRV parameters with P-value < 0.05 in correlation analysis were included in the multivariable logistic regression analysis, and restricted cubic spline analysis was performed to assess dose-response relationships.

Results: Daytime 4-h lnRMSSD (r = -0.221; P = 0.008) and 4-h lnHF (r = -0.232; P = 0.005) were negatively correlated with total burden of CSVD, and daytime 4-h lnLF/HF (r = 0.187; P = 0.025) was positively correlated with total burden of CSVD. There was no correlation between nighttime HRV parameters and total burden of CSVD. After adjustments were made for potential confounders, daytime 4-h lnRMSSD (OR = 0.34; 95% CI: 0.16-0.76), 4-h lnHF (OR = 0.57; 95% CI: 0.39-0.84), and 4-h lnLF/HF (OR = 2.12; 95% CI: 1.18-3.82) were independent predictors of total burden of CSVD (all P < 0.05). S-shaped linear associations with moderate-to-severe total burden of CSVD were seen for daytime 4h-lnRMSSD (P for nonlinearity = 0.543), 4-h lnHF (P for nonlinearity = 0.31), and 4-h lnLF/HF (P for nonlinearity = 0.502).

Conclusion: Daytime parasympathetic HRV parameters are independent influencing factors of total burden of CSVD and may serve as potential therapeutic observation indicators for CSVD.

非致残性缺血性脑血管事件患者白天和夜间心率变异性对脑小血管疾病总负担的不同影响。
研究目的本研究旨在探讨脑小血管病(CSVD)总负担与昼夜心率变异性(HRV)参数之间的关系:方法:2022年1月至2023年6月期间,常州市第二人民医院脑血管病门诊连续招募非致残性缺血性脑血管事件患者。根据CSVD的总负担将144名入选者分为轻度CSVD组(74人)和中重度CSVD组(70人)。然后对两组患者在24小时、白天4小时和夜间4小时期间测量的各种心率变异参数(包括连续RR间期差的自然对数变换[ln]均方根[RMSSD]、高频段[0.15-0.4 Hz][HF]的ln绝对功率、低频段[0.04-0.15 Hz][LF]的ln绝对功率和LF-HF比值[LF/HF])进行评估。斯皮尔曼相关分析用于评估 CSVD 总负担与心率变异参数之间的相关性。心率变异参数与 P 值结果:白天 4 小时 lnRMSSD(r = -0.221;P = 0.008)和 4 小时 lnHF(r = -0.232;P = 0.005)与 CSVD 总负担呈负相关,而白天 4 小时 lnLF/HF (r = 0.187;P = 0.025)与 CSVD 总负担呈正相关。夜间心率变异参数与 CSVD 总负担之间没有相关性。在对潜在混杂因素进行调整后,白天 4 小时 lnRMSSD(OR = 0.34;95% CI:0.16-0.76)、4 小时 lnHF(OR = 0.57;95% CI:0.39-0.84)和 4 小时 lnLF/HF (OR = 2.12;95% CI:1.18-3.82)是 CSVD 总负担的独立预测因子。82)是CSVD总负担的独立预测因子(非线性P=0.543)、4-h lnHF(非线性P=0.31)和4-h lnLF/HF(非线性P=0.502):结论:日间副交感心率变异参数是CSVD总负荷的独立影响因素,可作为CSVD的潜在治疗观察指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontiers in Cardiovascular Medicine
Frontiers in Cardiovascular Medicine Medicine-Cardiology and Cardiovascular Medicine
CiteScore
3.80
自引率
11.10%
发文量
3529
审稿时长
14 weeks
期刊介绍: Frontiers? Which frontiers? Where exactly are the frontiers of cardiovascular medicine? And who should be defining these frontiers? At Frontiers in Cardiovascular Medicine we believe it is worth being curious to foresee and explore beyond the current frontiers. In other words, we would like, through the articles published by our community journal Frontiers in Cardiovascular Medicine, to anticipate the future of cardiovascular medicine, and thus better prevent cardiovascular disorders and improve therapeutic options and outcomes of our patients.
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