Incidence and outcomes of Clostridioides difficile infection in BCMA and CD19 CAR-T cell therapy.

Abstract Background: Clostridioidesdifficile infection (CDI) represents a significant infectious complication in both Chimeric Antigen Receptor(CAR) T-cell therapy and hematopoietic stem cell transplant (HSCT) recipients. We sought to investigate the incidence and outcomesof CDI among various CAR-T therapy products. Methods: This retrospective study used the 2022 National Inpatient Sample Database to identify and include adult patients with a primary diagnosis of four hematologic malignancies (Non-Hodgkin Lymphoma (NHL), Multiple Myeloma (MM), Acute Lymphoblastic Leukemia (ALL), and Acute Myeloid Leukemia (AML). In this cohort, we isolated patients who developed CDI using ICD-10 codes. Subgroup analysis was performed based on the type of CAR-T cell therapy and HSCT recipients. Multivariate regression analysis was performed to identify independent risk factors for CDI and mortality. A p-value < 0.05 was considered statistically significant. Results: A total of 8,739 patients with CDI were identified among 507,559 patients with four hematologic malignancies, representing an overall incidence of 1.72%. Patients receiving CAR-T cell therapy (5% vs 2%, p<0.05), bone marrow transplant (BMT, 3% vs 2%, p<0.05), and those with a history of BMT (6% vs 2%, p<0.05) were at significantly higher risk for CDI. Among individual CAR-T products, the incidence was: for CD19-directed CAR-T, Brexu-cel 5%, Axi-cel 6%, Tisa-cel 5%, and Liso-cel 3%; for BCMA-directed CAR-T, Ide-cel 4% and Cilta-cel 5%. There was no significant difference in CDI rates between these individual CAR-T products. Among CAR-T recipients by cancer type, CDI incidence was NHL 5%, MM 4%, ALL 7%, and AML 5% (p=0.79). Multivariate regression identified history of HSCT (OR 2.11, 95% CI 1.09–4.08), cytokine release syndrome (OR 1.7; 1.26–2.52), protein-energy malnutrition (OR 2.08; 1.83–2.36), graft versus host disease (OR 2.52; 2.02–3.15), and female sex (OR 1.23; 1.10–1.38) as significant independent risk factors for CDI (all p<0.05). Overall mortality in those with CDI was 6% compared to 5% without, and mortality increased substantially to 36% in those requiring surgical intervention for CDI. Conclusion: In patients with hematologic malignancies, identifying risk factors and rates of CDI in CAR-T cell therapy is essential for prompt recognition and effective management. Future research on optimizing CDI screening protocol and prevention strategies can help reduce mortality and morbidity in this immunocompromised population.

Institutions

Publication Details

Journal
Blood
Published
2025-11-03
DOI
https://doi.org/10.1182/blood-2025-7678
Primary Topic
Clostridium difficile and Clostridium perfringens research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Incidence and outcomes of Clostridioides difficile infection in BCMA and CD19 CAR-T cell therapy.

Blood
Clostridium difficile and Clostridium perfringens research
article

Incidence and outcomes of Clostridioides difficile infection in BCMA and CD19 CAR-T cell therapy.

article en

Abstract

Abstract Background: Clostridioidesdifficile infection (CDI) represents a significant infectious complication in both Chimeric Antigen Receptor(CAR) T-cell therapy and hematopoietic stem cell transplant (HSCT) recipients. We sought to investigate the incidence and outcomesof CDI among various CAR-T therapy products. Methods: This retrospective study used the 2022 National Inpatient Sample Database to identify and include adult patients with a primary diagnosis of four hematologic malignancies (Non-Hodgkin Lymphoma (NHL), Multiple Myeloma (MM), Acute Lymphoblastic Leukemia (ALL), and Acute Myeloid Leukemia (AML). In this cohort, we isolated patients who developed CDI using ICD-10 codes. Subgroup analysis was performed based on the type of CAR-T cell therapy and HSCT recipients. Multivariate regression analysis was performed to identify independent risk factors for CDI and mortality. A p-value < 0.05 was considered statistically significant. Results: A total of 8,739 patients with CDI were identified among 507,559 patients with four hematologic malignancies, representing an overall incidence of 1.72%. Patients receiving CAR-T cell therapy (5% vs 2%, p<0.05), bone marrow transplant (BMT, 3% vs 2%, p<0.05), and those with a history of BMT (6% vs 2%, p<0.05) were at significantly higher risk for CDI. Among individual CAR-T products, the incidence was: for CD19-directed CAR-T, Brexu-cel 5%, Axi-cel 6%, Tisa-cel 5%, and Liso-cel 3%; for BCMA-directed CAR-T, Ide-cel 4% and Cilta-cel 5%. There was no significant difference in CDI rates between these individual CAR-T products. Among CAR-T recipients by cancer type, CDI incidence was NHL 5%, MM 4%, ALL 7%, and AML 5% (p=0.79). Multivariate regression identified history of HSCT (OR 2.11, 95% CI 1.09–4.08), cytokine release syndrome (OR 1.7; 1.26–2.52), protein-energy malnutrition (OR 2.08; 1.83–2.36), graft versus host disease (OR 2.52; 2.02–3.15), and female sex (OR 1.23; 1.10–1.38) as significant independent risk factors for CDI (all p<0.05). Overall mortality in those with CDI was 6% compared to 5% without, and mortality increased substantially to 36% in those requiring surgical intervention for CDI. Conclusion: In patients with hematologic malignancies, identifying risk factors and rates of CDI in CAR-T cell therapy is essential for prompt recognition and effective management. Future research on optimizing CDI screening protocol and prevention strategies can help reduce mortality and morbidity in this immunocompromised population.

BloodVol. 146(Supplement 1)
Trinity Health (US), Johnson City Medical Center (US), Wichita State University (US), Wichita Clinic (US), Nemours Children's Clinic (US)
Good health and well-being
Openalex Percentile: Top 36%
Clostridium difficile and Clostridium perfringens research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.