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Newer CBC Parameters of Clinical Significance

  • Shanaz KhodaijiEmail author
Chapter

Abstract

As technology advances, recently developed automated hematology analyzers (HA) determine routine CBC parameters with better accuracy. In addition, they yield novel parameters also called Advanced Clinical Parameters (ACP) whose clinical utility is being assessed by several researchers in the field of laboratory hematology. Many of these ACP have been found to enhance clinical information and are now integrated into the routine Complete Blood Count (CBC) report.

Bibliography

  1. 1.
    Bartels PC, Schoorl M, Schoorl M. Hemoglobinization and functional availability of iron for erythropoiesis in case of thalassemia and iron deficiency anemia. Clin Lab. 2006;52(3–4):107–14.PubMedGoogle Scholar
  2. 2.
    Briggs C, Hart D, Kunka S, Oguni S, Machin SJ. Immature platelet fraction measurement: a future guide to platelet transfusion requirement after haematopoietic stem cell transplantation. Transfus Med. 2006;16:101–9.  https://doi.org/10.1111/j.1365-3148.2006.00654.x.CrossRefGoogle Scholar
  3. 3.
    Briggs C, Costa AD, Freeman L, Aucamp I, Ngubeni B, Machin SJ. Development of an automated malaria discriminant factor using VCS technology. Am J Clin Pathol. 2006;126:691–8.  https://doi.org/10.1309/0PL3C674M39D6GEN.CrossRefGoogle Scholar
  4. 4.
    Brugnara C, Mohandas N. Red cell indices in classification and treatment of anemias: from M.M. Wintrobes’s original 1934 classification to the third millennium. Curr Opin Hematol. 2013;20:222–30.CrossRefGoogle Scholar
  5. 5.
    Brugnara C, Schiller B, Moran J. Reticulocyte hemoglobin equivalent (ret He) and assessment of iron-deficient states. Clin Lab Haematol. 2006;28(5):303–8.  https://doi.org/10.1111/j.1365-2257.2006.00812.x.CrossRefPubMedPubMedCentralGoogle Scholar
  6. 6.
    Buttarello M, Pajola R, Novello E, Rebeschini M, Cantaro S, Oliosi F, Naso A, Plebani M. Diagnosis of iron deficiency in patients undergoing hemodialysis. Am J Clin Pathol. 2010;133:949–54.CrossRefGoogle Scholar
  7. 7.
    Campuzano-Zuluaga G, Hänscheid T, Grobusch MP. Automated haematology analysis to diagnose malaria. Malar J. 2010;9:346.  https://doi.org/10.1186/1475-2875-9-346.CrossRefPubMedPubMedCentralGoogle Scholar
  8. 8.
    Canals C, Remacha AF, Sarda MP, Piazuelo JM, Royo MT, Romero MA. Clinical utility of the new Sysmex XE2100 parameter—reticulocyte hemoglobin equivalent—in the diagnosis of anemia. Hematologica. 2005;90:1133–4.Google Scholar
  9. 9.
    Brugnara C. Reticulocyte cellular indices: a new approach in the diagnosis of anemias and monitoring of erythropoietic function. Crit Rev Clin Lab Sci. 2008;37(2):93–130.  https://doi.org/10.1080/10408360091174196.CrossRefGoogle Scholar
  10. 10.
    Miguel A, Orero M, Simon R, Collado R, Perez PL, Pacios A, Iglesias R, Martinez A, Carbonell F. Automated neutrophil morphology and its utility in the assessment of neutrophil dysplasia. Lab Hematol. 2007;13:98–102.CrossRefGoogle Scholar
  11. 11.
    Cornbleet PJ, Novak RW. Classifying segmented and band neutrophils. CAP Today. 1994;8:37–41.PubMedGoogle Scholar
  12. 12.
    Tina D, Kunal S, Anjum S, Shanaz K. Comparison of platelet counts by Sysmex XE 2100 and LH-750 with the international flow reference method in thrombocytopenic patients. Indian J Pathol Microbiol. 2013;56(2):114–9.CrossRefGoogle Scholar
  13. 13.
    Fleming CKA. From manual microscopy to automated cell counters for first line screening of body fluids: but not without a special body fluid mode. Ned Tijdschr Klin Chem Labgeneesk. 2016;41(3):229–34.. hdl.handle.net/1765/80130 Google Scholar
  14. 14.
    Principle for automated leukocyte differentiation with XE Family analysers, making use of bioimaging technology. The Cell Analysis Center—Scientific Bulletin Part 4. Sysmex Corporation 1-5-1, Wakinohama-Kaigandori, Chuo-ku, Kobe 651-0073, Japan. www.sysmex.co.jp & www.sysmex-europe.com.
  15. 15.
    Fujimoto K. Principles of measurement in hematology analyzers manufactured by Sysmex corporation. Sysmex J Int. 1999;9(1):31–44.Google Scholar
  16. 16.
    D’onofrio G, Zini G, Brugnara C. Clinical applications of automated reticulocyte indices. Hematology. 2016;3(2):165–76.  https://doi.org/10.1080/10245332.1998.11746388.CrossRefGoogle Scholar
  17. 17.
    Herklotz R, et al. Precision and accuracy of the leukocyte differential on the Sysmex XE-2100. Sysmex J Int. 2001;11(1):8–21. https://www.beckmancoulter.com/wsrportal/…/hematology/…parameters/index.htm; https://www.sysmex.at/fileadmin/media/f103/Scientific…/ScientificBulletin_Part4.pdf Sysmex J Int 1999;9(1):21–30.Google Scholar
  18. 18.
    Leers MP, Keuren JF, Oosterhuis WP. The value of the Thomas-plot in the diagnostic work up of anemic patients referred by general practitioners. Int J Lab Hematol. 2010;32:572–81.  https://doi.org/10.1111/j.1751-553X.2010.01221.x.CrossRefPubMedGoogle Scholar
  19. 19.
    Miwa N, Akiba T, Kimata N, Hamaguchi Y, Arakawa Y, Tamura T, Nitta K, Tsuchiya K. Usefulness of measuring reticulocyte hemoglobin equivalent in the management of haemodialysis patients with iron deficiency. Int J Lab Hematol. 2010;32:248–55.  https://doi.org/10.1111/j.1751-553X.2009.01179.x.CrossRefPubMedGoogle Scholar
  20. 20.
    Tessitore N, Solero GP, Lippi G, Bassi A, Faccini GB, Bedogna V, Gammaro L, Brocco G, Restivo G, Bernich P, Lupo A, Maschio G. The role of iron status markers in predicting response to intravenous iron in haemodialysis patients on maintenance erythropoietin. Nephrol Dial Transplant. 2001;16(7):1416–23.  https://doi.org/10.1093/ndt/16.7.1416.CrossRefPubMedGoogle Scholar
  21. 21.
    NKF-K/DOQI. NKF-K/DOQI clinical practice guidelines for hemodialysis adequacy, peritoneal dialysis adequacy, vascular access, and anemia of chronic kidney disease: update 2000. Am J Kidney Dis. 2001;37:S7–S238.Google Scholar
  22. 22.
    d’Onofrio G, Chirillo R, Zini G, Caenaro G, Tommasi M, Micciulli G. Simultaneous measurement of reticulocyte and red blood cell indices in healthy subjects and patients with microcytic and macrocytic anemia. Blood. 1995;85:818–23.Google Scholar
  23. 23.
    Letestu R, Marzac C, Audat F, Belhocine R, Tondeur S, Baccini V, Garçon L, Cortivo LD, Perrot J-Y, Lefrère F, Valensi F, Ajchenbaum-Cymbalista F. Use of hematopoietic progenitor cell count on the Sysmex XE-2100 for peripheral blood stem cell harvest monitoring. Leuk Lymphoma. 2009;48(1):89–96.  https://doi.org/10.1080/10428190600886149.CrossRefGoogle Scholar
  24. 24.
    Schoorl M, Schoorl M, van Pelt J, Bartels PCM. Application of innovative hemocytometric parameters and algorithms for improvement of microcytic anemia discrimination. Hematol Rep. 2015;7(2):5843.  https://doi.org/10.4081/hr.2015.5843.CrossRefPubMedPubMedCentralGoogle Scholar
  25. 25.
    Thomas C, Thomas L. Biochemical markers and hematologic indices in the diagnosis of functional iron deficiency. Clin Chem. 2002;48:1066–76.PubMedGoogle Scholar
  26. 26.
    Thomas DW, Hinchliffe RF, Briggs C, Macdougall IC, Littlewood T, Cavill I, British Committee for Standards in Haematology. Guideline for the laboratory diagnosis of functional iron deficiency. Br J Haematol. 2013;161(5):639–48.  https://doi.org/10.1111/bjh.12311. Epub 2013 Apr 10.CrossRefPubMedGoogle Scholar
  27. 27.
    Lecompte TP, Bernimoulin MP. Novel parameters in blood cell counters. Clin Lab Med. 2015;35(1):209–24, Copyright © 2015 Elsevier Inc.CrossRefGoogle Scholar
  28. 28.
    Torino ABB, Gilberti Mde FP, da Costa E, de Lima GAF, Grotto HZW. Evaluation of red cell and reticulocyte parameters as indicative of iron deficiency in patients with anemia of chronic disease. Rev Bras Hematol Hemoter. 2014;36(6):424–9.  https://doi.org/10.1016/j.bjhh.2014.09.004.CrossRefPubMedPubMedCentralGoogle Scholar
  29. 29.
    Urrechaga E, Borque L, Escanero F. The role of automated measurement of RBC subpopulations in differential diagnosis of microcytic anemia and β-thalassemia. Am J Clin Pathol. 2011;135:374–9.CrossRefGoogle Scholar
  30. 30.
    Zucker ML, Murphy CA, Rachel JM, Martinez GA, Abhyankar S, McGuirk JP, Reid KJ, Plapp FV. Immature platelet fraction as a predictor of platelet recovery following hematopoietic progenitor cell transplantation. Lab Hematol. 2006;12(3):125–3.. PMID:16950671CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.P.D. Hinduja Hospital and Medical Research CentreMumbaiIndia

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