Journal article
Brain predicted age in chronic pelvic pain: a study by the Multidisciplinary Approach to the Study of Chronic Pelvic Pain Research Network
Pain (Amsterdam), Vol.166(5), pp.1060-1069
05/2025
DOI: 10.1097/j.pain.0000000000003424
PMCID: PMC12404608
PMID: 39432808
Abstract
Abstract The effect of chronic pain on brain-predicted age is unclear. We performed secondary analyses of a large cross-sectional and 3-year longitudinal data set from the Multidisciplinary Approach to the Study of Chronic Pelvic Pain Research Network to test the hypothesis that chronic pelvic pain accelerates brain aging and brain aging rate. Brain-predicted ages of 492 chronic pelvic pain patients and 72 controls were determined from T1-weighted MRI scans and used to calculate the brain-predicted age gap estimation (brainAGE; brain-predicted − chronological age). Separate regression models determined whether the presence of chronic pelvic pain could explain brainAGE and brain aging rate when accounting for covariates. We performed secondary analyses to understand whether brainAGE was associated with factors that subtype chronic pelvic pain patients (inflammation, widespread pain, and psychological comorbidities). We found a significant association between chronic pelvic pain and brainAGE that differed by sex. Women with chronic pelvic pain had higher brainAGE than female controls, whereas men with chronic pelvic pain exhibited lower brainAGE than male controls on average—however, the effect was not statistically significant in men or women when considered independently. Secondary analyses demonstrated preliminary evidence of an association between inflammatory load and brainAGE. Further studies of brainAGE and inflammatory load are warranted.
Details
- Title: Subtitle
- Brain predicted age in chronic pelvic pain: a study by the Multidisciplinary Approach to the Study of Chronic Pelvic Pain Research Network
- Creators
- Kristan A. Leech - University of Southern CaliforniaSarah A. Kettlety - University of Southern CaliforniaWendy J. Mack - University of Southern CaliforniaKarl J. Kreder - University of IowaAndrew Schrepf - Michigan MedicineJason J. Kutch - University of Southern California
- Resource Type
- Journal article
- Publication Details
- Pain (Amsterdam), Vol.166(5), pp.1060-1069
- DOI
- 10.1097/j.pain.0000000000003424
- PMID
- 39432808
- PMCID
- PMC12404608
- NLM abbreviation
- Pain
- ISSN
- 0304-3959
- eISSN
- 1872-6623
- Language
- English
- Electronic publication date
- 10/16/2024
- Date published
- 05/2025
- Academic Unit
- Obstetrics and Gynecology; Urology
- Record Identifier
- 9984737130402771
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