Risk of transfusion‐related iron overload varies based on oncologic diagnosis and associated treatment: Retrospective analysis from a single pediatric cancer center

Author:

Winzent‐Oonk Shelby1,Staley Alyse2,Alami Vida2,Bradley Julie1,Harvey Susan3,Pounds Aneisia4,Kuldanek Susan5,Pacenta Holly6,Winters Amanda C.1ORCID,McKinney Chris1

Affiliation:

1. Center for Cancer and Blood Disorders Children's Hospital Colorado University of Colorado Anschutz Medical Campus Aurora Colorado USA

2. Biostatistics and Bioinformatics Shared Resource University of Colorado Cancer Center Anschutz Medical Campus Aurora Colorado USA

3. Hematology, Children's National Medical Center Washington District of Columbia USA

4. Pediatric Hematology, Oncology BMT UF Health Shands Children's Hospital Gainesville Florida USA

5. Pediatric Hematology, Children's Minnesota Minneapolis Minnesota USA

6. Pediatric Hematology/Oncology Cook Children's Fort Worth Texas USA

Abstract

AbstractBackgroundTransfusion‐related iron overload (TRIO) is a widely acknowledged late effect of antineoplastic therapy in pediatric cancer survivors, but firm guidelines as to screening protocols or at‐risk populations are lacking in the literature.ProcedureWe performed retrospective analysis of all oncology patients diagnosed at our center from 2014 to 2019, who underwent TRIO screening as part of an internal quality improvement project. Correlations of MRI‐confirmed TRIO with patient‐, disease‐, and treatment‐specific features were evaluated.ResultsWe show that a tiered screening algorithm for TRIO, when followed as intended, led to the identification of the highest proportion of patients with TRIO. We confirm that cardiac TRIO is quite rare in the oncology patient population. However, accepted surrogate markers including red blood cell transfused volume and ferritin only modestly correlated with TRIO in our patient cohort. Instead, we found that older age, leukemia diagnosis, anthracycline exposure, and receipt of stem cell transplant were most strongly associated with risk for TRIO.ConclusionsWe describe associations between TRIO and patient, disease, and treatment characteristics in a multivariate risk model that could lead to an improved risk stratification of off‐therapy patients, and which should be validated in a prospective manner.

Publisher

Wiley

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