Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/40783
Title: Heart rate variability is not suitable as a surrogate marker for pain intensity in patients with chronic pain
Authors: Moens, Maarten
Billet, Bart
MOLENBERGHS, Geert 
De Smedt, Ann
Pilitsis, Julie G.
De Vos, Ruben
Hanssens, Karel
Billot, Maxime
Roulaud, Manuel
Rigoard, Philippe
Goudman, Lisa
Issue Date: 2023
Publisher: LIPPINCOTT WILLIAMS & WILKINS
Source: PAIN, 164 (8) , p. 1741 -1749
Abstract: The search towards more objective outcome measurements and consequently surrogate markers for pain started decades ago; however, no generally accepted biomarker for pain has qualified yet. The goal is to explore the value of heart rate variability (HRV) as surrogate marker for pain intensity chronic pain setting. Pain intensity scores and HRV were collected in 366 patients with chronic pain, through a cross-sectional multicenter study. Pain intensity was measured with both the visual analogue scale and numeric rating scale, whereas 16 statistical HRV parameters were derived. Canonical correlation analysis was performed to evaluate the correlation between the dependent pain variables and the HRV parameters. Surrogacy was determined for each HRV parameter with point estimates between 0 and 1 whereby values close to 1 indicate a strong association between the surrogate and the true endpoint at the patient level. Weak correlations were revealed between HRV parameters and pain intensity scores. The highest surrogacy point estimate was found for mean heart rate as marker for average pain intensity on the numeric rating scale with point estimates of 0.0961 (95% confidence interval [CI] 0.0384-0.1537) and 0.0209 (95% CI 0-0.05) for patients without medication use and with medication, respectively. This study indicated that HRV parameters as separate entities are no suitable surrogacy candidates for pain intensity, in a population of chronic pain patients. Further potential surrogate candidates and clinical robust true endpoints should be explored, to find a surrogate measure for the highly individual pain experience.
Notes: Goudman, L (corresponding author), Vrije Univ Brussel, Ctr Neurosci C4N, Brussels, Belgium.; Goudman, L (corresponding author), Vrije Univ Brussel, STIMULUS Res Grp, Laarbeeklaan 103, B-1090 Jette, Belgium.
mtmoens@gmail.com; bart.billet@azdelta.be;
geert.molenberghs@uhasselt.be; Ann.DeSmedt@uzbrussel.be;
jpilitsis@health.fau.edu; ruben.devos@azdelta.be;
karel.hanssens@azdelta.be; Maxime.BILLOT@chu-poitiers.fr;
Manuel.ROULAUD@chu-poitiers.fr; Philippe.RIGOARD@chu-poitiers.fr;
lisa.goudman@vub.be
Keywords: Biomarker;Surrogacy;Chronic pain;Autonomic nervous system;Pain management
Document URI: http://hdl.handle.net/1942/40783
ISSN: 0304-3959
e-ISSN: 1872-6623
DOI: 10.1097/j.pain.0000000000002868
ISI #: 001030779300011
Rights: 2023 International Association for the Study of Pain http://dx.doi.org/10.1097/j.pain.0000000000002868
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
PAIN-D-22-00868 1741..1749.pdf
  Restricted Access
Published version393.83 kBAdobe PDFView/Open    Request a copy
644a.pdf
  Until 2024-08-01
Peer-reviewed author version1.38 MBAdobe PDFView/Open    Request a copy
Show full item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.