| Automated reticulocyte counting: state of the art and clinical applications in the evaluation of erythropoiesis. | |
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MedLine Citation:
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PMID: 20666695 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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The reticulocyte count reflects the erythropoietic activity of the bone marrow and is thus useful in both the diagnosis of anemias and in monitoring bone marrow response to therapy. Starting in the mid-1990s, automated flow-cytometric analysis has replaced traditional microscopic quantitation of reticulocytes. Reticulocyte analysis now includes measurements mRNA content and the maturity of reticulocytes, cell volume, hemoglobin concentration and content. The immature reticulocyte fraction is a reliable early predictor of hematopoietic engraftment following allogeneic stem cell transplantation, while the reticulocyte hemoglobin content provides an indirect measure of the functional iron available for new red blood cell production over the previous 3-4 days. Especially in anemic newborns, reticulocyte analysis is useful to help clinicians follow erythropoietic changes, to monitor response to recombinant human erythropoietin therapy, to gauge transfusion needs, and to evaluate jaundice. Despite improved accuracy and precision, significant problems still persist in maintaining adequate levels of precision and comparability across different laboratories. In the absence of better laboratory standardization, having a single reference range for the parameters provided by flow-cytometric studies of reticulocytes remains problematic. |
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Authors:
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Elisa Piva; Carlo Brugnara; Lino Chiandetti; Mario Plebani |
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Publication Detail:
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Type: Journal Article Date: 2010-07-29 |
Journal Detail:
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Title: Clinical chemistry and laboratory medicine : CCLM / FESCC Volume: 48 ISSN: 1434-6621 ISO Abbreviation: Clin. Chem. Lab. Med. Publication Date: 2010 Oct |
Date Detail:
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Created Date: 2010-10-19 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9806306 Medline TA: Clin Chem Lab Med Country: Germany |
Other Details:
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Languages: eng Pagination: 1369-80 Citation Subset: IM |
Affiliation:
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Department of Laboratory Medicine, University-Hospital of Padova, Padova, Italy. elisa.piva@sanita.padova.it |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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