A218 INFLAMMATORY PHENOTYPE AS A PREDICTOR OF TREATMENT RESPONSE IN ULCERATIVE COLITIS

Abstract Background A variety of immune pathways contribute to the propagation of inflammation in ulcerative colitis (UC). Both, Th1- and Th2-associated cytokines and cells, have been implicated in the pathogenesis of the disease. Eosinophils, which are elicited by Th2 immune response, are increasingly recognized to have a pivotal role in the pathogenesis of UC, however, the exact link between eosinophils and UC disease outcomes and treatment responses over time is still incompletely defined. Aims We aim to evaluate the association between pre-treatment peripheral eosinophil counts and treatment response in patients with ulcerative colitis. Methods In this retrospective cohort study, data from 150 treatment naïve adult patients who were diagnosed with ulcerative colitis between 2005 and 2020 were reviewed. White blood count differential was collected at diagnosis and following exposure to one or more of the following treatments: corticosteroids, TNFa antagonists, or vedolizumab. Patients were stratified into two cohorts for analysis: “high-eosinophil” cohort (>=0.2x109cells/L) and “low-eosinophil” cohort (<0.2x109cells/L). The partial and endoscopic Mayo scores were evaluated at baseline and following treatment. Patients’ data were collected until their last gastroenterology follow-up or until surgical intervention. Demogoraphic data were summarized using descriptive statistics. Fisher’s Exact test was used to evaluate the association between eosinophil count and drug response as well as other outcomes. Results A total of 150 patients were included. 92 patients (63.3%) were included in the high-eosinophil cohort, while 58 patients (38.6%) were included in the low-eosinophil cohort. The median duration of follow-up was 78 months (IQR42.5) and 74 months (IQR45) in the high-eosinophil group and low-eosinophil group, respectively. Between the high-eosinophil group and low eosinophil group, there was no statistically significant difference in terms of steroid response (71.3%, 78.6% respectively, p=0.330), achieving steroid-free remission with TNFa antagonist (76%, 72.2% respectively, p=0.662), achieving steroid-free remission with vedolizumab (54.1%, 65.2% respectively, p=0.394), or disease refractoriness requiring more than 2 drug changes (15.4%, 8.8% respectively, p = 0.106). Conclusions This study did not show a correlation between baseline eosinophil count and response to therapy - corticosteroids, TNFa antagonist, and vedolizumab. Larger prospective studies are warranted to assess disease outcomes and treatment response to eosinophil-targeted therapy. Funding Agencies None

Authors

Institutions

Publication Details

Journal
Journal of the Canadian Association of Gastroenterology
Published
2025-02-01
DOI
https://doi.org/10.1093/jcag/gwae059.218
Primary Topic
Inflammatory Bowel Disease
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A218 INFLAMMATORY PHENOTYPE AS A PREDICTOR OF TREATMENT RESPONSE IN ULCERATIVE COLITIS

Aze Wilson, Abdullah Al-Darwish
Journal of the Canadian Association of Gastroenterology
Inflammatory Bowel Disease
article

A218 INFLAMMATORY PHENOTYPE AS A PREDICTOR OF TREATMENT RESPONSE IN ULCERATIVE COLITIS

Aze Wilson, Abdullah Al-Darwish
article en

Abstract

Abstract Background A variety of immune pathways contribute to the propagation of inflammation in ulcerative colitis (UC). Both, Th1- and Th2-associated cytokines and cells, have been implicated in the pathogenesis of the disease. Eosinophils, which are elicited by Th2 immune response, are increasingly recognized to have a pivotal role in the pathogenesis of UC, however, the exact link between eosinophils and UC disease outcomes and treatment responses over time is still incompletely defined. Aims We aim to evaluate the association between pre-treatment peripheral eosinophil counts and treatment response in patients with ulcerative colitis. Methods In this retrospective cohort study, data from 150 treatment naïve adult patients who were diagnosed with ulcerative colitis between 2005 and 2020 were reviewed. White blood count differential was collected at diagnosis and following exposure to one or more of the following treatments: corticosteroids, TNFa antagonists, or vedolizumab. Patients were stratified into two cohorts for analysis: “high-eosinophil” cohort (>=0.2x109cells/L) and “low-eosinophil” cohort (<0.2x109cells/L). The partial and endoscopic Mayo scores were evaluated at baseline and following treatment. Patients’ data were collected until their last gastroenterology follow-up or until surgical intervention. Demogoraphic data were summarized using descriptive statistics. Fisher’s Exact test was used to evaluate the association between eosinophil count and drug response as well as other outcomes. Results A total of 150 patients were included. 92 patients (63.3%) were included in the high-eosinophil cohort, while 58 patients (38.6%) were included in the low-eosinophil cohort. The median duration of follow-up was 78 months (IQR42.5) and 74 months (IQR45) in the high-eosinophil group and low-eosinophil group, respectively. Between the high-eosinophil group and low eosinophil group, there was no statistically significant difference in terms of steroid response (71.3%, 78.6% respectively, p=0.330), achieving steroid-free remission with TNFa antagonist (76%, 72.2% respectively, p=0.662), achieving steroid-free remission with vedolizumab (54.1%, 65.2% respectively, p=0.394), or disease refractoriness requiring more than 2 drug changes (15.4%, 8.8% respectively, p = 0.106). Conclusions This study did not show a correlation between baseline eosinophil count and response to therapy - corticosteroids, TNFa antagonist, and vedolizumab. Larger prospective studies are warranted to assess disease outcomes and treatment response to eosinophil-targeted therapy. Funding Agencies None

Journal of the Canadian Association of GastroenterologyVol. 8(Supplement_1)
Western University (CA)
Good health and well-being
Openalex Percentile: Top 97%
Inflammatory Bowel Disease
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.