Evidence map›Paper›PMID 38699342›Full record

ArticleResearch square2024

Reliability of beat-to-beat blood pressure variability in older adults.

Trevor Lohman, Isabel J Sible, Fatemah Shenasa, Allison C Engstrom, Arunima Kapoor, John Paul M Alitin, Aimee Gaubert, Julian F Thayer, Farrah Ferrer, Daniel A Nation

Abstract readPreprint
In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Trevor LohmanUniversity of Southern California, Leonard Davis School of Gerontology.
Isabel J SibleUniversity of Southern California.
Fatemah ShenasaUniversity of California, Irvine.
Allison C EngstromUniversity of California, Irvine.
Arunima KapoorUniversity of California, Irvine.
John Paul M AlitinUniversity of Southern California, Leonard Davis School of Gerontology.
Aimee GaubertUniversity of Southern California, Leonard Davis School of Gerontology.
Julian F ThayerUniversity of California, Irvine.
Farrah FerrerUniversity of Southern California, Leonard Davis School of Gerontology.
Daniel A NationUniversity of Southern California, Leonard Davis School of Gerontology.

Funding

Vascular Contributions to Dementia and Genetic Risk Factors for Alzheimer's DiseaseP01AG052350 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Daniel A Nation, ARTHUR W TOGA · 2016 to 2026
$28.4M
USCADRC Diversity Supplement PachicanoP30AG066530 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HELENA Chang CHUI · 2020 to 2026
$27.8M
Locus Coeruleus Imaging Markers in Preclinical Alzheimers disease, Cerebrovascular Disease and Cognitive DeclineR01AG082073 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BONDI, MARK W, MATHER, MARA · 2023 to 2025
$4.9M
Endothelial progenitor cells and neurovascular injury in the aging brainR01AG064228 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Daniel A Nation · 2019 to 2026
$4.5M
Cerebrovascular resistance in cognitive aging and Alzheimer's disease riskR01AG060049 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NATION, DANIEL A · 2020 to 2023
$2.4M
NIA NIH HHS P01 AG052350NIA NIH HHS P30 AG066530NIA NIH HHS R01 AG060049NIA NIH HHS R01 AG064228NIA NIH HHS R01 AG082073
6 · The paper itself

Abstract

Blood pressure variability (BPV) is emerging as an important risk factor across numerous disease states, including cerebrovascular and neurodegenerative disease in older adults. However, there is no current consensus regarding specific use cases for the numerous available BPV metrics. There is also little published data supporting the ability to reliably measure BPV across metrics in older adults. BPV metrics were derived from continuous beat-to-beat blood pressure monitoring data. Two sequential 7-minute waveforms were analyzed. Absolute and relative reliability testing was performed. Differences between antihypertensive medication users and non-users on BPV metric reliability was also assessed. All sequence and dispersion based BPV metrics displayed good test-retest reliability. A measure of BP instability displayed only moderate reliability. Systolic and diastolic average real variability displayed the highest levels of reliability at ICC= .87 and .82 respectively. Additionally, systolic average real variability was the most reliable metric in both the antihypertensive use group, and the no antihypertensive use group. Beat-to-beat dispersion and sequence-based metrics of BPV can be reliably obtained from older adults using noninvasive continuous blood pressure monitoring. Average real variability may be the most reliable and specific beat-to-beat blood pressure variability metric due to its decreased susceptibility to outliers and low frequency blood pressure oscillations.

Indexed as

average real variabilitybeat-to-beat blood pressure variabilityblood pressure variabilitycontinuous blood pressure monitoringreliability

Identifiers

PMID38699342
PMCPMC11065081

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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.