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Factors Associated with Increased Healthcare Utilization Within 30 and 90 Days Post-Discharge of CAR-T Cell Therapy in Patients with R/R LBCL

Yeung P, Trando A, Jeong AR, Tzachanis D

Hematology reports, 2026

66 participants

Abstract

Background/Objectives: CAR T-cell therapy is a highly efficacious therapy option for relapsed/refractory (R/R) large B-cell lymphoma (LBCL), but its widespread use is currently limited by safety concerns and high healthcare costs. Methods: We evaluated 66 patients with R/R LBCL treated with tisagenlecleucel or axicabtagene ciloleucel between 2016 and 2022 at a single institution to identify factors associated with increased healthcare utilization. Results: The median age of our cohort was 59.5 years, with 22.7% over the age of 70. The median length of stay (LOS) during the initial hospitalization was 12 days (range, 7-62 days). Longer initial hospital LOS was linked to higher age-adjusted HCT-CI score (IRR 1.08; 95% CI, 1.01 to 1.15; p = 0.0203), thrombocytopenia grade 3-4 (IRR 1.32; 95% CI, 1.07 to 1.63; p = 0.0091), and first ICU admission (IRR 1.81; 95% CI, 1.37 to 2.38; p p p = 0.0005). Factors associated with longer 90-day readmission LOS included a greater number of ER visits within 60 days of CAR T-cell therapy (IRR 3.10; 95% CI, 2.15-4.46), prior 30-day readmission LOS (IRR 1.35; 95% CI, 1.14-1.60), and SUVmax at Day 30 (IRR 1.06; 95% CI, 1.03-1.09) (all p-values Conclusions: Our findings identify key clinical and utilization variables associated with initial and repeat hospitalizations post-CAR T-cell therapy, emphasizing the need for targeted interventions to reduce readmissions and optimize post-discharge care.

How strong is the evidence?

Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 66 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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