Correlation of Digital Rectal Examination and Anorectal Manometry with Patient-Reported Outcomes Among Women with Fecal Incontinence.

Anorectal manometry Anorectal physiology Clinical examination Fecal incontinence Patient-reported outcome measures Women

Journal

International urogynecology journal
ISSN: 1433-3023
Titre abrégé: Int Urogynecol J
Pays: England
ID NLM: 101567041

Informations de publication

Date de publication:
20 Aug 2024
Historique:
received: 07 03 2024
accepted: 10 05 2024
medline: 20 8 2024
pubmed: 20 8 2024
entrez: 20 8 2024
Statut: aheadofprint

Résumé

Standardized digital rectal examination (DRE) correlates with anorectal manometry (ARM) measures. However, less is known about the relationship between DRE/ARM measures and patient-reported outcomes (PROs), especially among women with fecal incontinence (FI). Our aims were to evaluate associations between DRE and ARM measures and compare PROs with diagnostic evaluation measures for women with FI. We analyzed data from the parent clinical trial, Controlling Anal incontinence by Performing Anal exercises with Biofeedback or Loperamide (CAPABLe). We pooled data from randomized women who completed standardized ARM, DRE, and validated PROs at baseline and 12 and 24 weeks post-treatment initiation. PROs included FI severity, impact on quality of life, and bowel diary data. We analyzed ARM pressure and volume data and DRE using the Digital Rectal Examination Scoring System (DRESS) resting and squeeze mean scores. We used Spearman Rank Correlation to measure associations between the ARM measures and mean DRESS scores, and between PROs and ARM/DRESS scores. Among 291 randomized women with ARM and DRE data, the correlation between DRESS and ARM resting measures was 0.196 (p<0.001) and between squeeze measures was 0.247 (p<0.001). At most timepoints, PROs more consistently correlated with squeeze ARM pressures and squeeze DRESS scores than resting measures. We found weak correlations between ARM and DRE measures and between those measures and PROs. Although DRE and ARM are commonly used diagnostic measures among women with FI, the weak correlations with patient-reported symptoms raises questions about their utility in clinical care.

Identifiants

pubmed: 39162808
doi: 10.1007/s00192-024-05848-7
pii: 10.1007/s00192-024-05848-7
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NICHD NIH HHS
ID : U10 HD054215
Pays : United States

Informations de copyright

© 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.

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Auteurs

Alayne Markland (A)

Department of Medicine, University of Alabama at Birmingham, Geriatric Research, Education, and Clinical Center (GRECC) Birmingham VA Medical Center, 11G, 700 South 19th Street, Birmingham, Alabama, 35233, USA. amarkland@uabmc.edu.

Mary Ackenbom (M)

Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh/Magee Womens Research Institute, Pittsburgh, PA, USA.

Uduak Andy (U)

Department of Obstetrics and Gynecology, Hospital of University of Pennsylvania, Philadelphia, PA, USA.

Ben Carper (B)

Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA.

Eric Jelovsek (E)

Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, USA.

Douglas Luchristt (D)

Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, USA.

Shawn Menefee (S)

Department of Obstetrics and Gynecology, Kaiser Permanente San Diego, San Diego, CA, USA.

Rebecca Rogers (R)

Department of Obstetrics and Gynecology, Albany Medical College, Albany, NY , USA.

Vivian Sung (V)

Department of Obstetrics and Gynecology, Warren Alpert Medical School of Brown University, Women's & Infants Hospital, Providence, RI, USA.

Donna Mazloomdoost (D)

Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA.

Maria Gantz (M)

Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA.

Classifications MeSH