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Published on: February 14, 2021
Histopathology predictors of medically refractory ulcerative colitis
Joshua E Melson1, Deborah Giusto, Mary Kwasny
1Division of Digestive Diseases, Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois 60612, USA. joshua_e_emelson@rush.edu
Histology findings like severe cryptitis and lymphoid follicles can predict medically refractory ulcerative colitis. Age influences which histological markers, such as severe cryptitis in older patients and lymphoid follicles in younger patients, best predict colectomy needs.
Area of Science:
- Gastroenterology
- Pathology
Background:
- Ulcerative colitis (UC) is a chronic inflammatory bowel disease.
- Predicting medically refractory UC is crucial for patient management.
- Histological features may offer predictive insights.
Purpose of the Study:
- To evaluate the predictive ability of ulcerative colitis histology for medically refractory disease.
- To identify specific histological parameters associated with colectomy.
Main Methods:
- Retrospective chart review of 68 patients (20 colectomy, 48 medically managed).
- Analysis of initial biopsy findings and endoscopic data.
- Longitudinal follow-up (> or =6 months) to assess disease course.
Main Results:
- Medically refractory patients showed higher rates of severe cryptitis (75% vs 49%), lymphoid follicles (78% vs 48%), and erosions (35% vs 11%) on initial biopsy.
- No significant difference in crypt abscesses, mucin depletion, crypt distortion, or ulceration.
- Endoscopic inflammation severity did not differ significantly between groups.
- Age-dependent predictors: severe cryptitis for older patients (>38 y), lymphoid follicles for younger patients (<=38 y).
Conclusions:
- Initial biopsy findings of severe cryptitis, lymphoid follicles, and erosions correlate with medically refractory ulcerative colitis.
- Endoscopic findings were not predictive of refractory disease.
- Severe cryptitis is a key predictor in older patients, while lymphoid follicles are crucial in younger patients for identifying those likely to require colectomy.
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