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- Title
Anorectal Manometry in Pediatric Colorectal Surgical Care.
- Authors
Wheeler, Justin C.; Short, Scott S.; Rollins, Michael D.
- Abstract
Background: Pediatric colorectal specialists care for patients with a variety of defecation disorders. Anorectal (AR) manometry testing is a valuable tool in the diagnosis and management of these children. This paper provides a summary of AR manometry techniques and applications as well as a review of AR manometry findings in pediatric patients with severe defecation disorders referred to a pediatric colorectal center. This is the first study describing multi-year experience using a portable AR manometry device in pediatric patients. Methods: An electronic medical record review was performed (1/2018 to 12/2023) of pediatric patients with defecation disorders who had AR manometry testing. Demographics, diagnostic findings, and outcomes are described. Key Results: A total of 297 unique patients (56.9% male, n = 169) had AR manometry testing. Of these, 72% (n = 188) had dyssynergic defecation patterns, of which 67.6% (n = 127) had fecal soiling prior to treatment. Pelvic rehabilitation (PR) was administered to 35.4% (n = 105) of all patients. A total of 79.5% (n = 58) of the 73 patients that had fecal soiling at initial presentation and completed PR with physical therapy and a bowel management program were continent after therapy. AR manometry was well tolerated, with no major complications. Conclusions: AR manometry is a simple test that can help guide the management of pediatric colorectal surgical patients with defecation disorders. As a secondary finding, PR is a useful treatment for patients with dyssynergic stooling.
- Subjects
ANAL disease diagnosis; RECTAL diseases; MANOMETERS; STATISTICAL hypothesis testing; T-test (Statistics); CANCER patient medical care; PARAMETERS (Statistics); REFLEXES; COLORECTAL cancer; CHI-squared test; DESCRIPTIVE statistics; MAGNETIC resonance imaging; PEDIATRICS; MATHEMATICAL statistics; MEDICAL records; ACQUISITION of data; DEFECATION; DATA analysis software; NONPARAMETRIC statistics
- Publication
Children, 2024, Vol 11, Issue 6, p654
- ISSN
2227-9067
- Publication type
Academic Journal
- DOI
10.3390/children11060654