دورية أكاديمية
Predicting the CD34 content of mobilized peripheral blood leukapheresis products: single institution experience over 20 years.
العنوان: | Predicting the CD34 content of mobilized peripheral blood leukapheresis products: single institution experience over 20 years. |
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المؤلفون: | Mutlu YG; Department of Hematology, Istanbul Medipol University, Istanbul, Turkey; Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA., Sevcik J; Vitalant Specialty Lab and Therapeutics, Pittsburgh, Pennsylvania, USA., Kiss JE; Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA; Vitalant Specialty Lab and Therapeutics, Pittsburgh, Pennsylvania, USA; University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA., Lister J; Allegheny Health Network Cancer Institute, Pittsburgh, Pennsylvania, USA; Drexel University College of Medicine, Philadelphia, Pennsylvania, USA., Moore LR; University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA., Donnenberg AD; Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA; University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA. Electronic address: albert.donnenberg@ahn.org. |
المصدر: | Cytotherapy [Cytotherapy] 2024 Feb; Vol. 26 (2), pp. 171-177. Date of Electronic Publication: 2023 Nov 04. |
نوع المنشور: | Journal Article |
اللغة: | English |
بيانات الدورية: | Publisher: Elsevier Country of Publication: England NLM ID: 100895309 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1477-2566 (Electronic) Linking ISSN: 14653249 NLM ISO Abbreviation: Cytotherapy Subsets: MEDLINE |
أسماء مطبوعة: | Publication: 2013- : London : Elsevier Original Publication: Oxford, England : ISIS Medical Media, c1999- |
مواضيع طبية MeSH: | Leukapheresis* , Tissue Donors*, Humans ; Retrospective Studies ; Flow Cytometry ; Antigens, CD34 ; Hematopoietic Stem Cell Mobilization |
مستخلص: | Background Aims: Since the standardization of CD34 measurement by flow cytometry, predictors of leukapheresis CD34 yield have played a pivotal role in planning donor leukaphereses. We describe here a single institution's experience with a multivariate predictor that was used for 2,929 products without alteration for 20 years. Methods: The ordinary least squares regression model variables included log peripheral CD34 count, collection duration (3- versus 4-hours), collection number, donor sex, and transplant type. Results: During the study period we changed flow cytometers twice and leukapheresis instruments once. During the Cobe Spectra era the predictor explained 90% of the variability in CD34 collection yield for autologous transplants (r 2 = 0.90), and 70% for allogeneic transplants with an overall sensitivity to predict a CD34 yield of ≥ 1 × 10 6 /kg of 97.7%, and specificity of 81.4%. Conclusions: Implemented prospectively with real-time result reporting, the model allowed us to predict CD34 yield with both 3- and 4-hour collection scenarios. Given this guidance, 3-hour collections were selected by the clinical team 25% of the time, saving patient leukapheresis time and resources. When faced with a prediction of < 1 × 10 6 CD34/kg, the clinical team chose to defer collection 72% of the time. In instances where leukapheresis was performed despite a poor predicted outcome, 85% of patients collected on the Cobe Spectra, and 92% of patients collected on the Optia, failed to collect at least 1 × 10 6 CD34/kg. A revised model is tested retrospectively on Optia data, and suggestions for further improvements are discussed. Competing Interests: Declaration of Competing Interest None. (Copyright © 2023 International Society for Cell & Gene Therapy. Published by Elsevier Inc. All rights reserved.) |
فهرسة مساهمة: | Keywords: CD34; Leukapheresis; flow cytometry; mobilization; predictor |
المشرفين على المادة: | 0 (Antigens, CD34) |
تواريخ الأحداث: | Date Created: 20231106 Date Completed: 20240205 Latest Revision: 20240605 |
رمز التحديث: | 20240606 |
DOI: | 10.1016/j.jcyt.2023.09.005 |
PMID: | 37930293 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1477-2566 |
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DOI: | 10.1016/j.jcyt.2023.09.005 |