Article ; Online: Age, CD34+ cell dose, conditioning and pre-transplant cytopenias can help predict transfusion support in lymphoma patients undergoing autologous stem cell transplantation.
2023 Volume 118, Issue 8, Page(s) 681–689
Abstract: Background and objectives: Autologous stem cell transplant (ASCT) is a widely used therapy for lymphoma patients and can nowadays be performed on an outpatient basis. This study aimed to describe transfusion support in lymphoma patients undergoing ASCT ... ...
Abstract | Background and objectives: Autologous stem cell transplant (ASCT) is a widely used therapy for lymphoma patients and can nowadays be performed on an outpatient basis. This study aimed to describe transfusion support in lymphoma patients undergoing ASCT and identify increased or prolonged transfusion requirement predictors. Materials and methods: A retrospective study of all consecutive lymphoma patients undergoing ASCT between 2010 and 2020. Results: Out of 226 patients, 145 (64%) received red blood cell (RBC) transfusions, whereas all 226 (100%) required platelet transfusion (PT). Transfusions between Day +1 and +30 were higher in patients over 60 (2 [1-4] vs. 2 [0-2] RBC; p = 0.001 and 4 [2-8] vs. 3 [2-4] PT; p < 0.001); patients with pre-transplant anaemia (4 [2.5-6] vs. 2 [0-2] RBC; p < 0.001 and 5 [3-9] vs. 3 [2-4] PT; p = 0.001); pre-transplant thrombocytopenia (2 [1-4] vs. 2 [0-2] RBC; p < 0.001 and 4 [3-8.5] vs. 2 [1-3] PT; p < 0.001) or CD34 Conclusion: These four factors (age ≥60 years; BEAM conditioning, CD34 |
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MeSH term(s) | Humans ; Middle Aged ; Hematopoietic Stem Cell Transplantation ; Retrospective Studies ; Transplantation, Autologous ; Antineoplastic Combined Chemotherapy Protocols/adverse effects ; Lymphoma/therapy ; Lymphoma/etiology ; Stem Cell Transplantation ; Thrombocytopenia/etiology ; Anemia/therapy ; Anemia/etiology |
Language | English |
Publishing date | 2023-06-25 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 80313-3 |
ISSN | 1423-0410 ; 0042-9007 |
ISSN (online) | 1423-0410 |
ISSN | 0042-9007 |
DOI | 10.1111/vox.13486 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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