Immune Checkpoint Inhibitors and Risk of Type 1 Diabetes
Author(s) -
Xuan Chen,
Alison H. Affinati,
Yung-Chun Lee,
Adina F. Turcu,
N. Lynn Henry,
Elena Schiopu,
Angel Qin,
Megan Othus,
Daniel J. Clauw,
Nithya Ramnath,
Lili Zhao
Publication year - 2022
Publication title -
diabetes care
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.636
H-Index - 363
eISSN - 1935-5548
pISSN - 0149-5992
DOI - 10.2337/dc21-2213
Subject(s) - medicine , hazard ratio , type 1 diabetes , proportional hazards model , incidence (geometry) , diabetes mellitus , immunology , endocrinology , confidence interval , physics , optics
OBJECTIVE Type 1 diabetes mellitus (T1DM) is a rare, irreversible immune-related adverse event reported in patients receiving treatment with immune checkpoint inhibitors (ICI). However, clinical risk factors for ICI-induced T1DM (ICI-T1DM) and its impact on survival in patients remain unknown. RESEARCH DESIGN AND METHODS We used Optum’s Clinformatics Data Mart database for assessment of the incidence and characteristics of T1DM in a large de-identified cohort of patients treated with ICI between 2017 and 2020. We applied Fine-Gray and cause-specific hazard models to study associations between patient/treatment characteristics and ICI-T1DM and applied the Cox model with ICI-T1DM as a time-varying covariate to assess the impact of ICI-T1DM on survival. RESULTS ICI-T1DM was observed in 261 of 30,337 (0.86%) patients. Dual use of antibodies to cytotoxic T lymphocyte antigen 4 (CTLA-4) and programmed cell death 1 (PD-1) or programmed cell death ligand 1 (PD-L1) was associated with increasing risk of ICI-T1DM (hazard ratio [HR] 1.62; 95% CI 1.15–2.26) vs. anti–PD-L1 or anti–PD-1 alone. Younger age (HR 1.19 for every 5-year decrease; 95% CI 1.13–1.25) and preexisting non-T1DM diabetes (HR 4.48; 95% CI 3.45–5.83) were also associated with higher risk of ICI-T1DM. Conversely, prior use of immunosuppressive medications (HR 0.57; 95% CI 0.34–0.95) was associated with lower incidence of ICI-T1DM, but part of its protective effect may be due to the increased mortality rate. Development of ICI-T1DM does not seem to significantly impact patient survival. CONCLUSIONS The risk of ICI-T1DM is associated with the type of ICI therapy, patient age, and preexisting non-T1DM diabetes. These data may help guide risk assessment and screening practices for patients during ICI therapy.
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