Resection rate curves by location along the small intestine provide perspectives on characteristics of Crohn’s disease
Aim Crohn's disease (CD) can affect any part of the gastrointestinal tract; however, the frequency of CD lesions differs by location. This work aimed to examine resection rates by location to clarify locational characteristics of the small intestine in surgical CD cases. Method This was a singl...
Gespeichert in:
Veröffentlicht in: | Colorectal disease 2021-05, Vol.23 (5), p.1167-1174 |
---|---|
Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Aim
Crohn's disease (CD) can affect any part of the gastrointestinal tract; however, the frequency of CD lesions differs by location. This work aimed to examine resection rates by location to clarify locational characteristics of the small intestine in surgical CD cases.
Method
This was a single‐centre retrospective case note review of patients who had undergone resection for CD affecting the small intestine between January 2014 and February 2020. Operative details, including length of the small intestine, location and extent of the resection, identified the pattern of disease. By normalizing these data the resection rate along the length of the intestine was calculated to create resection rate curves.
Results
One hundred and twenty six surgical cases were identified. The resection rate curves could be divided into two types: exponential and bimodal. For primary surgery, this depended on whether or not surgery was limited to an ileocolic resection. At subsequent surgery, a previous ileocaecal resection influenced the pattern of disease. The peaks of the bimodal curve were located at the proximal and distal ileum.
Conclusion
CD patients requiring resection of the small intestine can be divided into terminal ileum type (exponential type) and proximal ileum type (bimodal type). In the future this analytical method may help predict the site of any recurrent disease but also provides a new perspective on the disease. |
---|---|
ISSN: | 1462-8910 1463-1318 |
DOI: | 10.1111/codi.15487 |