Skip to main content

Advertisement

Log in

Novel automated hematology parameters in clinical pediatric practice

  • Rational Diagnostics
  • Published:
Indian Pediatrics Aims and scope Submit manuscript

Abstract

Blood sampling in children is a challenging task, and to extract maximum possible information from these’ precious’ samples, the modernday automated hematology analyzers have been aided with much technological advancement. Various novel blood cell parameters are now available to narrow down the differential diagnoses. However, only few of these are available for routine clinical reporting. Knowledge about their interpretation and reference ranges can prove useful in challenging situations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Teixeira C, Barbot J, Freitas MI. Reference values for reticulocyte parameters and hypochromic RBC in healthy children. Int J Lab Hematol. 2015;37:626–30.

    Article  CAS  PubMed  Google Scholar 

  2. Piva E, Brugnara C, Spolaore F, Plebani M. Clinical utility of reticulocyte parameters. Clin Lab Med. 2015;35:133–63.

    Article  PubMed  Google Scholar 

  3. Hwang DH, Dorfman DM, Hwang DG, Senna P, Pozdnyakova O. Automated nucleated RBC measurement using the sysmex XE-5000 hematology analyzer: Frequency and clinical significance of the nucleated RBCs. Am J Clin Pathol. 2016;145:379–84.

    Article  CAS  PubMed  Google Scholar 

  4. Stachon A, Segbers E, Holland-Letz T, Kempf R, Hering S, Krieg M. Nucleated red blood cells in the blood of medical intensive care patients indicate increased mortality risk: a prospective cohort study. Crit Care. 2007;11:R62.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Otsubo H, Kaito K, Asai O, Usui N, Kobayashi M, Hoshi Y. Persistent nucleated red blood cells in peripheral blood is a poor prognostic factor in patients undergoing stem cell transplantation. Clin Lab Haematol. 2005;27:242–6.

    Article  CAS  PubMed  Google Scholar 

  6. Zini G, d’Onofrio G, Briggs C, Erber W, Jou JM, Lee SH, et al. ICSH recommendations for identification, diagnostic value, and quantitation of schistocytes. Int J Lab Hematol. 2012;34:107–16.

    Article  CAS  PubMed  Google Scholar 

  7. Saigo K, Jiang M, Tanaka C, Fujimoto K, Kobayashi A, Nozu K, et al. Usefulness of automatic detection of fragmented red cells using a hematology analyzer for diagnosis of thrombotic microangiopathy. Clin Lab Haematol. 2002;24:347–51.

    Article  CAS  PubMed  Google Scholar 

  8. Christensen RD, Yaish HM, Lemons RS. Neonatal hemolytic jaundice: morphologic features of erythrocytes that will help you diagnose the underlying condition. Neonatology. 2014;105:243–9.

    Article  CAS  PubMed  Google Scholar 

  9. Noronha JF, De Souza CA, Vigorito AC, Aranha FJ, Zulli R, Miranda EC, et al. Immature reticulocytes as an early predictor of engraftment in autologous and allogeneic bone marrow transplantation. Clin Lab Haematol. 2003;25:47–54.

    Article  CAS  PubMed  Google Scholar 

  10. d’Onofrio G, Tichelli A, Foures C, Theodorsen L. Indicators of haematopoietic recovery after bone marrow transplantation: the role of reticulocyte measurements. Clin Lab Haematol. 1996;18:45–53.

    PubMed  Google Scholar 

  11. Luczynski W, Ratomski K, Wysocka J, Krawczuk-Rybak M, Jankiewicz P. Immature reticulocyte fraction (IRF)–an universal marker of hemopoiesis in children with cancer? Adv Med Sci. 2006;51:188–90.

    CAS  PubMed  Google Scholar 

  12. Brugnara C, Schiller B, Moran J. Reticulocyte hemoglobin equivalent (Ret He) and assessment of iron-deficient states. Clin Lab Haematol. 2006;28:303–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Garzia M, Di Mario A, Ferraro E, Tazza L, Rossi E, Luciani G, et al. Reticulocyte hemoglobin equivalent: An indicator of reduced iron availability in chronic kidney diseases during erythropoietin therapy. Lab Hematol. 2007;13:6–11.

    Article  CAS  PubMed  Google Scholar 

  14. Schoorl M, Linssen J, Villanueva MM, No Guera JA, Martinez PH, Bartels PC, et al. Efficacy of advanced discriminating algorithms for screening on iron-deficiency anemia and â-thalassemia trait: a multicenter evaluation. Am J Clin Pathol. 2012;138:300–4.

    Article  PubMed  Google Scholar 

  15. Buttarello M. Laboratory diagnosis of anemia: are the old and new red cell parameters useful in classification and treatment, how? Int J Lab Hematol. 2016;38:123–32.

    Article  PubMed  Google Scholar 

  16. Nair SC, Arora N, Jain S, Inbakumar D, Mammen J, Sitaram U. Mean reticulocyte volume enhances the utility of red cell mean sphered cell volume in differentiating peripheral blood spherocytes of hereditary spherocytosis from other causes. Indian J Pathol Microbiol. 2015;58:307–9.

    Article  PubMed  Google Scholar 

  17. Ng EH, Leung JH, Lau YS, Ma ES. Evaluation of the new red cell parameters on Beckman Coulter DxH800 in distinguishing iron deficiency anaemia from thalassaemia trait. Int J Lab Hematol. 2015;37:199–207.

    Article  CAS  PubMed  Google Scholar 

  18. Raimondi F, Ferrara T, Maffucci R, Milite P, Del Buono D, Santoro P, et al. Neonatal sepsis: a difficult diagnostic challenge. Clin Biochem. 2011;44:463–4.

    Article  PubMed  Google Scholar 

  19. Bhargava M, Saluja S, Sindhuri U, Saraf A, Sharma P. Elevated mean neutrophil volume+CRP is a highly sensitive and specific predictor of neonatal sepsis. Int J Lab Hematol. 2014;36:e11–14.

    Article  CAS  PubMed  Google Scholar 

  20. Briggs C. Quality counts: new parameters in blood cell counting. Int J Lab Hematol. 2009;31:277–97.

    Article  CAS  PubMed  Google Scholar 

  21. Briggs C, Da Costa A, 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.

    Article  PubMed  Google Scholar 

  22. Khair KB, Rahman MA, Sultana T, Roy CK, Rahman MQ, Ahmed AN. Early diagnosis of neonatal septicemia by hematologic scoring system, C-reactive protein and serum haptoglobin. Mymensingh Med J. 2012;21:85–92.

    CAS  PubMed  Google Scholar 

  23. Furundarena JR, Araiz M, Uranga M, Sainz MR, Agirre A, Trassorras M, et al. The utility of the Sysmex XE-2100 analyzer’s NEUT-X and NEUT-Y parameters for detecting neutrophil dysplasia in myelodysplastic syndromes. Int J Lab Hematol. 2010;32:360–6.

    Article  CAS  PubMed  Google Scholar 

  24. Luo Y, Lin J, Chen H, Zhang J, Peng S, Kuang M. Utility of neut-X, neut-Y and neut-Z parameters for rapidly assessing sepsis in tumor patients. Clin Chim Acta. 2013;422:5–9.

    Article  CAS  PubMed  Google Scholar 

  25. Peerschke EI, Moung C, Pessin MS, Maslak P. Evaluation of new automated hematopoietic progenitor cell analysis in the clinical management of peripheral blood stem cell collections. Transfusion. 2015;55:2001–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Ntaios G, Papadopoulos A, Chatzinikolaou A, Saouli Z, Karalazou P, Kaiafa G, et al. Increased values of mean platelet volume and platelet size deviation width may provide a safe positive diagnosis of idiopathic thrombocytopenic purpura. Acta Haematol. 2008;119:173–7.

    Article  PubMed  Google Scholar 

  27. Turfan M, Erdogan E, Ertas G, Duran M, Murat SN, Celik E, et al. Usefulness of mean platelet volume for predicting stroke risk in atrial fibrillation patients. Blood Coagul Fibrinolysis. 2013;24:55–8.

    Article  PubMed  Google Scholar 

  28. Briggs C, Kunka S, Hart D, Oguni S, Machin SJ. Assessment of an immature platelet fraction (IPF) in peripheral thrombocytopenia. Br J Haematol. 2004;126:93–9.

    Article  PubMed  Google Scholar 

  29. Zucker ML, Murphy CA, Rachel JM, Marlinez GA, Abhyanker S, Mc Guirk JP, et al. Immature platelet fraction as a predictor of platelet recovery following hematopoietic progenitor cell transplantation. Lab Hematol. 2006;12:125–30.

    Article  CAS  PubMed  Google Scholar 

  30. Dadu T, Sehgal K, Joshi M, Khodaiji S. Evaluation of the immature platelet fraction as an indicator of platelet recovery in dengue patients. Int J Lab Hematol. 2014;36:499–504.

    Article  CAS  PubMed  Google Scholar 

  31. Zhang KJ, Lu QY, Li P, Zhang P, Niu XQ. [Significance of platelet parameters and lactate dehydrogenase level in differential diagnosis for thrombocytosis]. Zhongguo Shi Yan Xue Ye Xue Za Zhi. 2010;18:972–5.

    CAS  PubMed  Google Scholar 

  32. Tang J, Gao X, Zhi M, Zhou HM, Zhang M, Chen HW, et al. Plateletcrit: a sensitive biomarker for evaluating disease activity in Crohn’s disease with low hs-CRP. J Dig Dis 2015;16:118–24.

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Prateek Bhatia.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rastogi, P., Bhatia, P. & Varma, N. Novel automated hematology parameters in clinical pediatric practice. Indian Pediatr 54, 395–401 (2017). https://doi.org/10.1007/s13312-017-1113-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13312-017-1113-3

Keywords

Navigation