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Published on: June 2, 2021
Immune checkpoint inhibitor induced colitis: A nationwide population-based study
Natalie Farha1, Motasem Alkhayyat2, Adrian Lindsey3
1Department of Internal Medicine, Cleveland Clinic Foundation, Cleveland, OH, USA.
Immune checkpoint inhibitor (ICI)-induced colitis affects 3.6% of patients, with higher risks in women, Caucasians, older adults, obese individuals, and those with alcohol abuse history. Ipilimumab showed the greatest risk for this adverse event.
Area of Science:
- Oncology
- Immunology
- Gastroenterology
Background:
- Immune checkpoint inhibitors (ICIs) are crucial in cancer treatment.
- Immune-related adverse events, including colitis, are significant side effects of ICIs.
- Understanding the epidemiology and risk factors for ICI-induced colitis is essential for patient management.
Purpose of the Study:
- To conduct an epidemiological survey of patients developing immune checkpoint inhibitor (ICI)-induced colitis.
- To identify demographic and clinical risk factors associated with ICI-induced colitis.
- To assess the incidence and characteristics of ICI-induced colitis in a large patient cohort.
Main Methods:
- A retrospective cohort study utilizing the Explorys US-based population database.
- Inclusion of patients treated with ICIs over a five-year period.
- Statistical analysis including odds ratios and multivariable analysis to identify risk factors.
Main Results:
- 3.6% of patients developed ICI-induced colitis.
- Increased risk observed in women, Caucasians, individuals over 65, obese patients, and those with a history of alcohol abuse.
- Specific ICIs (Nivolumab, Ipilimumab, Pembrolizumab, Atezolizumab) were associated with increased odds of colitis, with Ipilimumab posing the highest risk.
Conclusions:
- This study provides the largest epidemiological description of ICI-induced colitis to date.
- Ipilimumab is associated with the highest risk of developing ICI-induced colitis.
- Discussion of colitis risk is crucial for patients before initiating ICI therapy, potentially influencing treatment selection.
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