Ecological momentary assessment of pelvic pain and urinary urgency variability in urologic chronic pelvic pain syndrome and their association with illness impact and quality of life: Findings from the multidisciplinary approach to the study of chronic pelvic pain symptom patterns study

Bradley A. Erickson; James W. Griffith; Guo Wensheng; You Mengying; Ted Herman; Catherine S. Bradley; J Quentin Clemens; John T. Farrar; Priyanka Gupta; Karl J. Kreder; H Henry Lai; Bruce D. Naliboff; Diane K. Newman; Larissa V. Rodriguez; Theresa Spitznagle; Siobhan Sutcliffe; Suzette E. Sutherland; Bayley J. Taple; J Richard Landis

doi:10.1002/nau.25363

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Ecological momentary assessment of pelvic pain and urinary urgency variability in urologic chronic pelvic pain syndrome and their association with illness impact and quality of life: Findings from the multidisciplinary approach to the study of chronic pelvic pain symptom patterns study

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Ecological momentary assessment of pelvic pain and urinary urgency variability in urologic chronic pelvic pain syndrome and their association with illness impact and quality of life: Findings from the multidisciplinary approach to the study of chronic pelvic pain symptom patterns study

Bradley A. Erickson, James W. Griffith, Guo Wensheng, You Mengying, Ted Herman, Catherine S. Bradley, J Quentin Clemens, John T. Farrar, Priyanka Gupta, Karl J. Kreder, …

Neurourology and urodynamics, Vol.43(4), pp.893-901

04/17/2024

DOI: 10.1002/nau.25363

PMCID: PMC11031348

PMID: 38247366

Appears in UI Libraries Support Open Access

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Abstract

Abstract Purpose This study tested the hypothesis that ecological momentary assessment (EMA) of pelvic pain (PP) and urinary urgency (UU) would reveal unique Urologic Chronic Pelvic Pain Syndrome (UCPPS) phenotypes that would be associated with disease specific quality of life (QOL) and illness impact metrics (IIM). Materials and Methods A previously validated smart phone app (M‐app) was provided to willing Multidisciplinary Approach to the Study of Chronic Pelvic Pain (MAPP) participants. M‐app notifications were sent 4‐times daily for 14 days inquiring about PP and UU severity. A clustering algorithm that accounted for variance placed participants into PP and UU variability? clusters. Associations between clusters and QOL and IIM were then determined. Results A total of 204 participants enrolled in the M‐app study (64% female). M‐app compliance was high (median 63% of surveys). Cluster analysis revealed k = 3 (high, low, none) PP clusters and k = 2 (high, low) UU clusters. When adjusting for baseline pain severity, high PP variability, but not UU variability, was strongly associated with QOL and IIM; specifically worse mood, worse sleep and higher anxiety. UU and PP clusters were associated with each other ( p < 0.0001), but a large percentage (33%) of patients with high PP variability had low UU variability. Conclusions PP variability is an independent predictor of worse QOL and more severe IIM in UCPPS participants after controlling for baseline pain severity and UU. These findings suggest alternative pain indices, such as pain variability and unpredictability, may be useful adjuncts to traditional measures of worst and average pain when assessing UCPPS treatment responses.

Quality of Life

ecological momentary assessment

illness impact

phone application

urologic chronic pelvic pain syndrome

variability

UIOWA OA Agreement

Details

Title: Subtitle: Ecological momentary assessment of pelvic pain and urinary urgency variability in urologic chronic pelvic pain syndrome and their association with illness impact and quality of life: Findings from the multidisciplinary approach to the study of chronic pelvic pain symptom patterns study
Creators: Bradley A. Erickson - Department of Urology University of Iowa Iowa City Iowa USA
James W. Griffith - Northwestern University
Guo Wensheng - University of Pennsylvania
You Mengying - University of Pennsylvania
Ted Herman - University of Iowa
Catherine S. Bradley - University of Iowa
J Quentin Clemens - University of Michigan
John T. Farrar - University of Pennsylvania
Priyanka Gupta - University of Michigan
Karl J. Kreder - University of Iowa
H Henry Lai - Washington University in St. Louis
Bruce D. Naliboff - University of California, Los Angeles
Diane K. Newman - University of Pennsylvania
Larissa V. Rodriguez - Cornell University
Theresa Spitznagle - Washington University in St. Louis
Siobhan Sutcliffe - Washington University in St. Louis
Suzette E. Sutherland - University of Washington
Bayley J. Taple - Northwestern University
J Richard Landis - University of Pennsylvania
Resource Type: Journal article
Publication Details: Neurourology and urodynamics, Vol.43(4), pp.893-901
DOI: 10.1002/nau.25363
PMID: 38247366
PMCID: PMC11031348
NLM abbreviation: Neurourol Urodyn
ISSN: 0733-2467
eISSN: 1520-6777
Publisher: Wiley
Language: English
Electronic publication date: 01/22/2024
Date published: 04/17/2024
Academic Unit: Epidemiology; Obstetrics and Gynecology; Computer Science; Urology; Internal Medicine
Record Identifier: 9984548481802771

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