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Acute myeloid leukemia after kidney transplantation: a case report and literature review

Overview of attention for article published in Jornal Brasileiro de Nefrologia, January 2016
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Title
Acute myeloid leukemia after kidney transplantation: a case report and literature review
Published in
Jornal Brasileiro de Nefrologia, January 2016
DOI 10.5935/0101-2800.20160072
Pubmed ID
Authors

Francesca Cardarelli, Vanesa Bijol, Anil Chandraker, Cindy Varga, Leonardo V. Riella

Abstract

The incidence of malignancy is greater in kidney transplant recipients compared to the general population, though the higher risk is not equally distributed to all types of cancers. In face of the increased longevity of renal transplant recipients, certain cancers, such as acute leukemias, are becoming more prevalent. Acute myeloid leukemia (AML) typically presents with cytopenias and infections, both common findings after kidney transplantation. Therefore, the diagnosis of AML may be initially overlooked in these patients. We report the case of a 33-year-old man who presented with fever, pancytopenia and acute worsening of his renal allograft function 9 years after a living unrelated kidney transplant. After initial negative infectious work-up, a kidney biopsy revealed C4d-positive antibody-mediated rejection in combination with scattered atypical inflammatory cells. A subsequent bone marrow biopsy confirmed AML. He underwent successful induction chemotherapy with daunorubucin and cytarabine and ultimately achieved a complete remission. However, he developed a Page kidney with worsening renal function and abdominal pain three weeks after biopsy in the setting of chemotherapy-induced thrombocytopenia. Herein, we discuss the prevalence, risk factors, presentation and management of leukemia after kidney transplantation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 32%
Lecturer 1 5%
Student > Doctoral Student 1 5%
Other 1 5%
Professor 1 5%
Other 3 14%
Unknown 8 36%
Readers by discipline Count As %
Medicine and Dentistry 6 27%
Biochemistry, Genetics and Molecular Biology 4 18%
Computer Science 2 9%
Agricultural and Biological Sciences 1 5%
Engineering 1 5%
Other 0 0%
Unknown 8 36%