Evidence map›Paper›PMID 42609212›Full record

ArticleFrontiers in neurology2026

Heart rate variability in epilepsy and its association with disease duration: a retrospective case-control study.

Jie Xu, Jin Geng, Jia Wang, Qian Zhou, Xiangsong Shi, Wenjie Shi, Bingjian Wang

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Article in Frontiers in neurology, 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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5 · Who and what money

Authors and funding

7 authors.

Jie XuHuai'an No.3 People's Hospital, Huai'an, Jiangsu, China.
Jin GengThe Affiliated Huai'an No.1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China.
Jia WangHuai'an No.3 People's Hospital, Huai'an, Jiangsu, China.
Qian ZhouHuai'an No.3 People's Hospital, Huai'an, Jiangsu, China.
Xiangsong ShiHuai'an No.3 People's Hospital, Huai'an, Jiangsu, China.
Wenjie ShiHuai'an No.3 People's Hospital, Huai'an, Jiangsu, China.
Bingjian WangThe Affiliated Huai'an No.1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To characterize 24-h heart rate variability (HRV) profiles in patients with epilepsy, investigate the association between the standard deviation of normal-to-normal R-R intervals (SDNN) and epilepsy status as well as disease duration, and explore whether hippocampal atrophy and seizure type modify these associations. Methods: This single-center retrospective case-control study enrolled 360 participants (180 patients with epilepsy and 180 non-epileptic controls). HRV parameters-including SDNN, RMSSD, pNN50, LF, HF, and LF/HF ratio-were derived from 24-h ambulatory electrocardiographic recordings, with SDNN prespecified as the primary outcome measure. Multivariable linear regression was used to assess the association between epilepsy status and SDNN. Within the epilepsy cohort, partial correlation analysis, multivariable linear regression, linear trend testing, and subgroup interaction analyses were performed to evaluate the association between disease duration and SDNN. Results: Compared with controls, the epilepsy group exhibited significantly lower SDNN, RMSSD, LF, and HF values, and a higher LF/HF ratio. Multivariable linear regression revealed that epilepsy status was independently associated with lower SDNN. After adjustment for available confounders, longer disease duration was significantly correlated with lower SDNN ( Conclusion: Patients with epilepsy exhibit HRV abnormalities characterized by reduced SDNN, and prolonged disease duration is associated with reduced SDNN. As a simple and non-invasive parameter, SDNN may be useful in reflecting autonomic regulation status in patients with epilepsy and in providing supplementary information for clinical evaluation. However, due to the limitations of the retrospective study design and the composition of the control group, whether the observed HRV abnormalities are specific to epilepsy remains unclear, and further multicenter prospective studies are warranted for validation.

Indexed as

EpilepsyHeart RateAdolescentAdultCase-Control StudiesElectrocardiography, AmbulatoryFemaleHippocampusHumansMaleMiddle AgedRetrospective StudiesTime FactorsYoung Adultautonomic functiondisease durationepilepsyheart rate variabilityhippocampal atrophySDNN

Identifiers

PMID42609212
PMCPMC13477908

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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.