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Dynamic Imaging of Chimeric Antigen Receptor T Cells with [18F]Tetrafluoroborate Positron Emission Tomography/Computed Tomography
Published on: February 17, 2022
Infectious complications of car T-cell therapy: A longitudinal risk model
Michael T Czapka1, Peter A Riedell2, Jennifer C Pisano1
1Department of Medicine, Section of Infectious Disease, University of Chicago, Chicago, Illinois, USA.
Background:
CAR T-cell therapy, where a patient's own T cells are re-engineered to express a receptor to a target of interest, is becoming an increasingly utilized cancer-directed therapy. There are significant toxicities that contribute to a novel state of immunocompromise, leading to new patterns of infectious complications that require further detailed study.
Methods:
We created a single-center cohort of adult recipients of CD19-directed CAR T-cell therapy and assessed infectious outcomes, supportive care received, toxicities, and markers of immune function up to 2 years following CAR T-cell therapy. Descriptive statistics were used as appropriate for analysis. We additionally conducted time-to-event analysis assessing time-to-first infection with either log-rank testing or Cox regression with univariate analysis, before including significant predictors into a multivariate Cox model of time to infection.
Results:
We identified 73 patients who received CD19-directed CAR T-cell therapy who predominantly had diffuse large B-cell lymphoma. Within 30 days of cell infusion, bacterial and Candida infections were the most common, with 64% of infections due to these organisms. Between 30 days and 2 years postinfusion, respiratory viruses and pneumonia were the most frequent infections, with 68% of infections due to these etiologies. Receipt of tocilizumab, development of immune effector cell-associated neurotoxicity syndrome (ICANS), or lower neutrophil count were associated with quicker onset of infection in a multivariate Cox model.
Conclusions:
Respiratory viruses remain an important infectious complication of CAR T-cell therapy following the first year. The model may be a useful tool to identify patients at the highest risk of infection.
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