Evidence map›Paper›PMID 41209073›Full record

ArticleClinical hypertension2025

Impact of home and clinical blood pressure variability on arteriosclerosis and metabolic indicators: a prospective multicenter registry study.

Ha Young Yu, Jung-Joon Cha, Dong-Hyuk Cho, Mi-Na Kim, Se Won Oh, Jae Hyoung Park, Kyung-Hee Cho, Seung Yong Shin, Eung Ju Kim, Hyung Joon Joo

Registry-linked trialAbstract read
In one paragraph

Article in Clinical hypertension, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06394934 (Impact of Home and Clinical Blood Pressure Variability on Arteriosclerosis and Metabolic Indicators), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06394934 recruitingnot on this map

Impact of Home and Clinical Blood Pressure Variability on Arteriosclerosis and Metabolic Indicators

Typeobservational_patient_registrySponsorKorea University Anam HospitalRan2024 to 2029Enrolled4,188ConditionsHypertension, Blood Pressure Monitoring, Home, Arteriosclerosis, Metabolic Syndrome XArmsHealthscan App
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Ha Young YuDepartment of Cardiology, Korea University Anam Hospital, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0005-6936-3496
Jung-Joon ChaDepartment of Cardiology, Korea University Anam Hospital, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-8299-1877
Dong-Hyuk ChoDepartment of Cardiology, Korea University Anam Hospital, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-8480-9082
Mi-Na KimDepartment of Cardiology, Korea University Anam Hospital, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-6589-5122
Se Won OhDivision of Nephrology, Department of Internal Medicine, Korea University Anam Hospital, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-3795-9322
Jae Hyoung ParkDepartment of Cardiology, Korea University Anam Hospital, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-8434-0157
Kyung-Hee ChoDepartment of Neurology, Korea University Anam Hospital, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-7924-0634
Seung Yong ShinDepartment of Cardiology, Korea University Ansan Hospital, Ansan, Republic of Korea.ORCID https://orcid.org/0000-0002-3408-6899
Eung Ju KimDepartment of Cardiology, Korea University Guro Hospital, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-2322-6267
Hyung Joon JooDepartment of Cardiology, Korea University Anam Hospital, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-1846-8464

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Blood pressure variability (BPV) represents an independent predictor of cardiovascular disease, distinct from mean blood pressure (BP). While home BP monitoring is widely recommended, the associations between home BPV and vascular, metabolic, and inflammatory markers remain unclear. We aimed to clarify these associations. Methods: We analyzed 519 hypertensive patients from a prospective multicenter registry. Home BPV was assessed using standard deviation, coefficient of variation (CV), average real variability, variability independent of the mean, and range. Patients were stratified by the median CV of home systolic BP (SBP). We used Pearson correlation coefficients to evaluate the relationships between home BPV and office BPV, metabolic parameters, and arterial stiffness indices. Results: Based on stratification by the CV of home SBP, the high-BPV group was characterized by older age, a greater proportion of women, and a lower body mass index compared with the low-BPV group. Correlations between home and office BP were stronger for mean values than for variability indices. Home systolic BPV indices correlated positively with high-sensitivity C-reactive protein ( Conclusions: Home systolic BPV showed consistent associations with vascular inflammation and arterial stiffness, but not with metabolic parameters. These findings support home BPV as a distinct cardiovascular risk marker with potential relevance for risk stratification and preventive management. Trial Registration: ClinicalTrials.gov Identifier: NCT06394934.

Indexed as

Blood pressure variabilityHome blood pressure monitoringHypertensionVascular stiffness

Identifiers

PMID41209073
PMCPMC12591862

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Registered trials

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.