Evidence map›Paper›PMID 41169861›Full record

ArticleMedical research archives2025

Pulse Rate Variability Analysis During Hemorrhage in an Experimental Porcine Model.

Gabriel P Bonvillain, Lauren D Crimmins-Pierce, Md Abul Hayat, Adria Abella Villafranca, Sam E Stephens, Luke E Ferguson, Hanna K Jensen, Joseph A Sanford, Jingxian Wu, Kevin W Sexton and 1 more

Abstract read
In one paragraph

Article in Medical research archives, 2025. 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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0citing papers 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.

No citing paper in PubMed yet.

4 · The record

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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

11 authors.

Gabriel P BonvillainDepartment of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas.
Lauren D Crimmins-PierceDepartment of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas.
Md Abul HayatDepartment of Electrical Engineering, University of Arkansas, Fayetteville, Arkansas.
Adria Abella VillafrancaDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Sam E StephensDepartment of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas.
Luke E FergusonDepartment of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas.
Hanna K JensenDepartment of Surgery, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Joseph A SanfordDepartment of Anesthesiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Jingxian WuDepartment of Electrical Engineering, University of Arkansas, Fayetteville, Arkansas.
Kevin W SextonDepartment of Surgery, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Morten O JensenDepartment of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas.

Funding

Expanding Translational Research in ArkansasUL1TR003107 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI JAMES, LAURA P · 2019 to 2023
$21.6M
J. NRSA TrainingTL1TR003109 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI SEXTON, KEVIN WAYNE · 2019 to 2023
$1.5M
NCATS NIH HHS TL1 TR003109NCATS NIH HHS UL1 TR003107
6 · The paper itself

Abstract

Background: The initial response to hemorrhage is mediated by the autonomic nervous system. A method for detecting autonomic nervous system activity may provide the ability to detect acute changes in blood volume. Previous work has indicated that heart rate variability may be able to detect acute hemorrhage in a porcine model. This study evaluates the ability of pulse rate variability, used as a surrogate for heart rate variability, and obtained from peripheral arterial pressure waveforms, to detect hemorrhage in a porcine model. Methods: Using a model consisting of four subjects, peripheral arterial pressure waveforms were collected over 15-minute intervals before, during, and after hemorrhage. Percent changes for pulse rate variability metrics were evaluated for the 15-minute signals. These longer signals were subsequently divided into three 5-minute signals for short term pulse rate variability analysis. A One-Way Analysis of Variance with a significance level of 0.05 was used to evaluate the sensitivity of pulse rate variability metrics for detecting hemorrhage. Results: At the onset of hemorrhage, an increase in standard deviation, root mean squared error, low frequency power, high frequency power, total power, and the ratio of low to high frequency power was observed, followed by an opposing decrease at the conclusion of hemorrhage. The low frequency power and the ratio of low to high frequency power had the greatest sensitivity to detecting changes in hemorrhage levels. Conclusion: These results suggest that pulse rate variability metrics obtained from arterial pressure waveforms have the potential to serve as a diagnostic method for acute hemorrhage.

Identifiers

PMID41169861
PMCPMC12571234

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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.