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Clinical Applications of Automated Reticulocyte Indices.

G D'onofrio1, G Zini1, C Brugnara1

  • 1a Research Center for the Development and Clinical Evaluation of Automated Methods in Hematology, Department of Hematology , Università Cattolica del Sacro Cuore , Rome , Italy ; Departments of Laboratory Medicine and Pathology , Children's Hospital and Harvard Medical School , Boston , MA , USA.

Hematology (Amsterdam, Netherlands)
|July 15, 2016
PubMed
Summary
This summary is machine-generated.

Automated reticulocyte analysis offers new diagnostic parameters like cell volume and hemoglobin content. These reticulocyte indices aid in managing anemias and monitoring therapies like recombinant human erythropoietin (r-HuEPO).

Keywords:
Reticulocyteautomated hematologyimmature reticulocyte fraction

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Area of Science:

  • Hematology
  • Clinical Pathology
  • Laboratory Medicine

Background:

  • Automated reticulocyte analysis yields novel parameters for disease diagnosis and management.
  • Understanding reticulocyte cell volume (MCVr), cell hemoglobin concentration (CHCMr), and cell hemoglobin content (CHr) is crucial.

Purpose of the Study:

  • To review current knowledge on reticulocyte indices.
  • To evaluate the diagnostic and prognostic utility of these parameters in various hematological conditions.

Main Methods:

  • Literature review of studies reporting reference values for MCVr, CHCMr, and CHr.
  • Analysis of data on index changes in iron deficiency, megaloblastic anemias, and response to therapy.

Main Results:

  • Reference values for reticulocyte indices (MCVr, CHCMr, CHr) are established.
  • CHr serves as an early indicator of functional iron deficiency during recombinant human erythropoietin (r-HuEPO) therapy.
  • Reticulocyte changes are observed in sickle cell disease treated with hydroxyurea and in bone marrow transplantation.

Conclusions:

  • Reticulocyte indices provide real-time insights into erythroid marrow function.
  • These indices are valuable tools for diagnosing and managing hematological disorders.
  • Automated reticulocyte analysis supports the effective use of therapies like r-HuEPO.