Evidence map›Paper›PMID 42528959›Full record

ArticleFrontiers in cardiovascular medicine2026

Study on the correlation between ventricular arrhythmia and heart rate variability in patients with coronary heart disease.

Xin Guan, Zhiyue Jia, Bing Yang

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Xin GuanElectrocardiogram Room, Shanxi Provincial People's Hospital, Taiyuan, Shanxi, China.
Zhiyue JiaElectrocardiogram Room, Shanxi Provincial People's Hospital, Taiyuan, Shanxi, China.
Bing YangElectrocardiogram Room, Shanxi Provincial People's Hospital, Taiyuan, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ventricular arrhythmia (VA) is a common complication in patients with coronary heart disease (CHD), and heart rate variability (HRV) is considered a potential marker for VA risk. Aims: This study aimed to analyse the correlation between HRV and VA in patients with CHD. Methods: From January 2020 to July 2024, patients with CHD who were treated at our hospital were divided into two groups, based on the presence of VA: theVA group (VA present) and the control group (no VA). Heart rate variability indices were measured using 24-hour dynamic electrocardiogram monitoring. The HRV parameters included the standard deviation of sinus R-R (N-N) interval (SDNN), the standard deviation of sinus R-R (N-N) mean value every 5 min (SDANN), the root mean square of adjacent RR interval difference (rMSSD), and the percentage of the number of adjacent R-R interval differences >50 ms in the total number of sinus beats (PNN50). Clinical data were compared between groups, and linear regression was used to explore the relationship between HRV and VA. Results: The HRV indices SDNN, SDANN, rMSSD, and PNN50 were significantly lower in the VA group than in the non-VA group ( Conclusion: The HRV indices, particularly SDANN, rMSSD, and PNN50, were significantly associated with the occurrence of VA in patients with CHD and may serve as potential indicators for VA risk stratification.

Indexed as

coronary heart diseaseelectrocardiogramheart ratelinear regressionrisk factorventricular arrhythmia

Identifiers

PMID42528959
PMCPMC13416336

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.