ANALYSIS OF GLYCEMIC CHANGES AND RISK FACTORS FOR HYPERGLYCEMIA BY MECHANISMS OF IMMUNE CHECKPOINT INHIBITORS

Author(s)

SUNHEE CHOI, Pharm.D., Hyunju Cho, B.S. Pharm, M.S., Munok An, B.S. Pharm, M.S., Soojeong Yun, B.S. Pharm, M.S., Kyungsook Yeon, B.S. Pharm, M.S..
VHS Medical Center, Seoul, Korea, Republic of.
OBJECTIVES: Immune checkpoint inhibitors (ICIs) are associated with immune-mediated hyperglycemia. This study aimed to compare longitudinal blood glucose trajectories between PD-1 and PD-L1 inhibitor monotherapy and to identify independent risk factors for clinically significant hyperglycemia.
METHODS: A retrospective analysis was conducted using electronic medical records from a single institution (January 2019-December 2025). Adults (≥19 years) receiving ≥2 cycles of PD-1 or PD-L1 inhibitor monotherapy were included. All available random blood glucose (RBG) measurements during treatment were collected (baseline: most recent value within 4 weeks before initiation). Glucose trajectories were evaluated using a linear mixed-effects model (LMM) with a drug class × time interaction (random intercepts and slopes, REML); risk factors were identified by multivariable logistic regression. Both models were adjusted for age, sex, BMI, pre-existing diabetes, baseline glucose, and cumulative corticosteroid dose. Clinically significant hyperglycemia was defined as RBG >160 mg/dL (≥2 occasions), >250 mg/dL, or new antidiabetic medication (without diabetes); >250 mg/dL or new antidiabetic medication (with diabetes).
RESULTS: Of 415 patients (PD-1: n=276; PD-L1: n=139), 15,454 glucose measurements were analyzed. The LMM showed no significant difference in glucose trajectories between groups (interaction β=5.99 mg/dL per 100 days, 95% confidence interval [CI]: −4.48 to 16.46, p=0.264). Hyperglycemia was observed in 166 patients (40.0%; 38.8% vs. 42.4%, p=0.538). Three independent risk factors were identified: baseline glucose (adjusted odds ratio [aOR] 1.024/mg/dL, 95% CI 1.018 to 1.030, p<0.001), cumulative corticosteroid dose (aOR 1.31/log-unit, 95% CI 1.19 to 1.45, p<0.001), and pre-existing diabetes (aOR 1.88, 95% CI 1.14 to 3.11, p=0.014). ICI class was not a significant predictor (aOR 0.91, p=0.701; AUC=0.812).
CONCLUSIONS: After accounting for individual variability, glucose trajectories did not differ between PD-1 and PD-L1 inhibitor groups. Hyperglycemia risk was driven by patient-specific factors—elevated baseline glucose, corticosteroid exposure, and pre-existing diabetes—rather than ICI class, supporting individualized glucose monitoring regardless of drug class.

Conference/Value in Health Info

2026-11, ISPOR Europe 2026, Vienna, Austria

Value in Health, Volume 29, Issue 12S

Code

MSR92

Topic

Clinical Outcomes, Methodological & Statistical Research, Real World Data & Information Systems

Disease

Diabetes/Endocrine/Metabolic Disorders (including obesity), Oncology

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