Evidence map›Paper›PMID 41888507›Full record

ArticleClinical autonomic research : official journal of the Clinical Autonomic Research Society2026

Elevated blood pressure variability links cardiac autonomic dysfunction to complex arrhythmias in hypertension.

Yang You, Xiaoyan Han, Guoqing Qi, Jun Liu, Li Tian, Yongqiang An, Sheng Wang, Mingqi Zheng

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Article in Clinical autonomic research : official journal of the Clinical Autonomic Research Society, 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yang YouDepartment of Cardiology, The First Hospital of Hebei Medical University, No. 89 Dongang Road, Shijiazhuang, 050000, Hebei, China.
Xiaoyan HanDepartment of Cardiology, The First Hospital of Hebei Medical University, No. 89 Dongang Road, Shijiazhuang, 050000, Hebei, China.
Guoqing QiDepartment of Cardiology, The First Hospital of Hebei Medical University, No. 89 Dongang Road, Shijiazhuang, 050000, Hebei, China.
Jun LiuDepartment of Cardiology, The First Hospital of Hebei Medical University, No. 89 Dongang Road, Shijiazhuang, 050000, Hebei, China.
Li TianDepartment of Cardiology, The First Hospital of Hebei Medical University, No. 89 Dongang Road, Shijiazhuang, 050000, Hebei, China.
Yongqiang AnDepartment of Cardiology, The First Hospital of Hebei Medical University, No. 89 Dongang Road, Shijiazhuang, 050000, Hebei, China.
Sheng WangDepartment of Cardiology, The First Hospital of Hebei Medical University, No. 89 Dongang Road, Shijiazhuang, 050000, Hebei, China.
Mingqi ZhengDepartment of Cardiology, The First Hospital of Hebei Medical University, No. 89 Dongang Road, Shijiazhuang, 050000, Hebei, China. mzheng@hebmu.edu.cn.

Funding

Hebei Province Finance Department Project LS202214Industry-University Research Cooperation Special Project CXY2024020Natural Science Foundation of Hebei Province H2024206123
6 · The paper itself

Abstract

purposeThis study investigated the relationship between short-term blood pressure variability (BPV), autonomic function measured by heart rate variability (HRV), and the prevalence of complex arrhythmias in hypertensive patients.

methodsWe retrospectively analyzed 198 middle-aged and elderly patients with primary hypertension, stratified by tertiles of 24-h systolic BPV. Simultaneous 24-h ambulatory blood pressure and Holter monitoring were performed. Echocardiography was performed within 72 h of monitoring. HRV was analyzed in time and frequency domains, and a composite autonomic score was derived via principal component analysis. Complex arrhythmia was defined as Lown grade ≥ 3 or Kleiger grade ≥ 3.

resultsThe high-BPV group showed significantly reduced HRV across all indices and a higher incidence of complex arrhythmias (71.2% versus 40.9% in low-BPV group). BPV was inversely correlated with all HRV parameters, most strongly with SDNN. Multivariate analysis confirmed BPV as an independent negative predictor of the composite autonomic score. Logistic regression adjusted for medication use identified higher BPV, older age, and larger left atrial diameter as independent predictors of complex arrhythmias.

conclusionsIncreased short-term BPV is independently associated with impaired cardiac autonomic function and is a significant predictor of complex arrhythmias in hypertension. Assessment of BPV may improve autonomic and arrhythmic risk stratification in this population.

Indexed as

Arrhythmias, CardiacAutonomic Nervous SystemAutonomic Nervous System DiseasesBlood PressureHypertensionAgedBlood Pressure Monitoring, AmbulatoryElectrocardiography, AmbulatoryFemaleHeart RateHumansMaleMiddle AgedRetrospective StudiesArrhythmiaAutonomic nervous systemBlood pressure variabilityHeart rate variabilityPrimary hypertensionRisk stratification

Identifiers

PMID41888507

What Socratic holds

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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 Socratic graph.