Risk factors for immune checkpoint inhibitor colitis: a retrospective multi-center cohort study using electronic health records.
코호트
2/5 보강
PICO 자동 추출 (휴리스틱, conf 2/4)
유사 논문P · Population 대상 환자/모집단
환자: comorbid GI disorders or those using antibiotics or NSAIDs
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
A routine checkup for colitis could be beneficial for those patients. Future studies are needed to explore the underlying mechanisms and quantify clinical impact of increased checkups for colitis.
OpenAlex 토픽 ·
Cancer Immunotherapy and Biomarkers
Inflammatory Bowel Disease
Microscopic Colitis
[BACKGROUND] Immune checkpoint inhibitors (ICIs) are effective for many cancers but often cause immune-related adverse events, particularly gastrointestinal (GI) complications such as colitis.
- 95% CI 2.41-3.07
APA
Danny Hoi Tsun Chu, Ann-Kathrin Schalkamp, Vivek A. Rudrapatna (2026). Risk factors for immune checkpoint inhibitor colitis: a retrospective multi-center cohort study using electronic health records.. Cancer immunology, immunotherapy : CII, 75(4). https://doi.org/10.1007/s00262-026-04359-2
MLA
Danny Hoi Tsun Chu, et al.. "Risk factors for immune checkpoint inhibitor colitis: a retrospective multi-center cohort study using electronic health records.." Cancer immunology, immunotherapy : CII, vol. 75, no. 4, 2026.
PMID
41874669 ↗
Abstract 한글 요약
[BACKGROUND] Immune checkpoint inhibitors (ICIs) are effective for many cancers but often cause immune-related adverse events, particularly gastrointestinal (GI) complications such as colitis. Identifying risk factors for ICI colitis (CIC) could improve patient selection and discover potential mechanisms relevant to idiopathic inflammatory bowel disease (IBD). We aim to identify risk factors with a robust methodological approach in a large multi-center longitudinal cohort.
[METHODS] We used electronic health record data from six University of California institutions with 10,260 adults on ICIs. Baseline and time-varying predictors were defined based on prior IBD epidemiology studies, including interactions. LASSO Cox regression was applied to data from UCSF Central Data Warehouse to select the most predictive model, with coefficients estimated using multi-center data.
[RESULTS AND CONCLUSION] Fourteen significant predictors of CIC were identified. The strongest predictors were concurrent use of antibiotics (HR 2.72, 95% CI: 2.41-3.07) and non-steroid anti-inflammatory drugs (1.50, 1.16-1.94). Notable GI risk factors included gastroesophageal reflux disorder (1.31, 1.14-1.50), other GI disorders (1.32, 1.16-1.50), and disorders of the gallbladder, biliary tract, and pancreas (1.33, 1.15-1.57). High BMI before ICI administration increased risk (per unit 1.07, 1.04-1.09), while higher BMI after ICI administration decreased risk (per unit 0.93, 0.90-0.95). Melanoma, anxiety, and depression also increased risk. GI oncologists should consider ICI colitis in patients with comorbid GI disorders or those using antibiotics or NSAIDs. A routine checkup for colitis could be beneficial for those patients. Future studies are needed to explore the underlying mechanisms and quantify clinical impact of increased checkups for colitis.
[METHODS] We used electronic health record data from six University of California institutions with 10,260 adults on ICIs. Baseline and time-varying predictors were defined based on prior IBD epidemiology studies, including interactions. LASSO Cox regression was applied to data from UCSF Central Data Warehouse to select the most predictive model, with coefficients estimated using multi-center data.
[RESULTS AND CONCLUSION] Fourteen significant predictors of CIC were identified. The strongest predictors were concurrent use of antibiotics (HR 2.72, 95% CI: 2.41-3.07) and non-steroid anti-inflammatory drugs (1.50, 1.16-1.94). Notable GI risk factors included gastroesophageal reflux disorder (1.31, 1.14-1.50), other GI disorders (1.32, 1.16-1.50), and disorders of the gallbladder, biliary tract, and pancreas (1.33, 1.15-1.57). High BMI before ICI administration increased risk (per unit 1.07, 1.04-1.09), while higher BMI after ICI administration decreased risk (per unit 0.93, 0.90-0.95). Melanoma, anxiety, and depression also increased risk. GI oncologists should consider ICI colitis in patients with comorbid GI disorders or those using antibiotics or NSAIDs. A routine checkup for colitis could be beneficial for those patients. Future studies are needed to explore the underlying mechanisms and quantify clinical impact of increased checkups for colitis.
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