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Quality counts: new parameters in blood cell counting

Open access
BRIGGS, C.·2009·International Journal of Laboratory Hematology

Abstract

Summary: Recently several parameters have been introduced to the complete blood count such as nucleated red blood cells, immature granulocytes; immature reticulocyte fraction, immature platelet fraction and red cell fragments as well as new parameters for detection of functional iron deficiency. Leucocyte positional parameters, which may diagnose specific diseases (e.g. differentiate between abnormal lymphocytes in leukaemia and viral conditions and may also detect malarial infection) are now available. At this time they are only used for research; however, generally such parameters later become reportable. One manufacturer’s routine analyser allows measurement of cells by flow cytometry using monoclonal antibodies. Currently, there are no accredited external quality assessment schemes (EQAS) for these parameters. For a number of parameters, on some instruments, there is no internal quality control, which brings into question whether these parameters should be used for clinical decision making. Other more established parameters, such as mean platelet volume, red cell distribution width and the erythrocyte sedimentation rate do not have EQAS available. The UK National EQAS for General Haematology held a workshop earlier this year in 2008 to discuss these parameters. Participants were asked to provide a consensus opinion on which parameters are the most important for inclusion in future haematology EQAS.

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Research works printed but not linked: 54

  1. 10.1111/j.1365-2257.1983.tb00495.x · doi:10.1111/j.1365-2257.1983.tb00495.x
  2. 10.1111/j.1365-2257.2005.00704.x · doi:10.1111/j.1365-2257.2005.00704.x
  3. Briggs C., 2001, Comparison of the automated reticulocyte counts and immature reticulocyte fraction measurements obtained with the ABX Pentra 120 Retic blood cell analyzer and the Sysmex XE‐2100 automated haematology analyzer, Laboratory Hematology, 7, 1
  4. Briggs C., 2003, Evaluation of the immature granulocyte counts by the XE‐IG Master: upgraded software for the XE‐2100 automated hematology analyser, Laboratory Hematology, 9, 117
  5. 10.1309/0PL3C674M39D6GEN · doi:10.1309/0pl3c674m39d6gen
  6. BS EN 14136, 2004, Use of External Quality Assessment Schemes in the Assessment of the Performance of In Vitro Diagnostic Examination Procedures
  7. 10.1002/ajh.10450 · doi:10.1002/ajh.10450
  8. 10.1309/VJAA-L52P-FGRM-QGRU · doi:10.1309/vjaa-l52p-fgrm-qgru
  9. 10.1111/j.1537-2995.2005.04286.x · doi:10.1111/j.1537-2995.2005.04286.x
  10. 10.1309/LLF75W0FWQQ8TCC5 · doi:10.1309/llf75w0fwqq8tcc5
  11. 10.3343/kjlm.2007.27.1.1 · doi:10.3343/kjlm.2007.27.1.1
  12. Cornbleet P.J., 1994, Classifying segmented and band neutrophils, CAP Today, 8, 37
  13. Cymbalista F., 2007, Usefulness of NEUT‐X Determination in Routine Diagnostic Procedures: Application to Myelodysplastic Syndromes (l Lecture)
  14. 10.1111/j.1365-2796.1990.tb00111.x · doi:10.1111/j.1365-2796.1990.tb00111.x
  15. 10.1002/ajh.2830440316 · doi:10.1002/ajh.2830440316
  16. Davies B.H., 1996, Immature reticulocyte fraction (IRF): By any name, a useful clinical parameter, Laboratory Hematology, 2, 2
  17. Dutcher T.F., 1984, Leukocyte differentials are they worth the effort?, Clinics in Laboratory Medicine, 4, 71, 10.1016/S0272-2712(18)30943-0 · doi:10.1016/s0272-2712(18)30943-0
  18. Foerster J., 1999, Clinical Hematology, 1305
  19. 10.1309/8UJ4-P7DB-5C1J-U2H7 · doi:10.1309/8uj4-p7db-5c1j-u2h7
  20. 10.1046/j.1365-2257.1999.00239.x · doi:10.1046/j.1365-2257.1999.00239.x
  21. Harrison P., 1997, Variables affecting flow cytometric analysis of platelets, Laboratory Hematology, 3, 167
  22. Houwen B., 2001, The differential cell count, Laboratory Hematology, 7, 89
  23. 10.1111/j.1365-2141.1969.tb01366.x · doi:10.1111/j.1365-2141.1969.tb01366.x
  24. 10.1136/jcp.41.11.1203 · doi:10.1136/jcp.41.11.1203
  25. 10.1046/j.1365-2257.2001.00386.x · doi:10.1046/j.1365-2257.2001.00386.x
  26. 10.1111/j.1365-2257.2006.00766.x · doi:10.1111/j.1365-2257.2006.00766.x
  27. Kim Y.R., 1997, A rapid and sensitive reticulocyte method on a high throughput haematology instrument, Laboratory Hematology, 3, 19
  28. 10.1532/LH96.06010 · doi:10.1532/lh96.06010
  29. 10.1309/MY7077989KWDYP88 · doi:10.1309/my7077989kwdyp88
  30. Lin C.K., 1992, Comparison of hemoglobin and red blood cell distribution width in the differential diagnosis of microcytic anemia, Archives of Pathology and Laboratory Medicine, 116, 1030
  31. 10.1002/cyto.b.20150 · doi:10.1002/cyto.b.20150
  32. 10.1111/j.1365-2257.2004.00653.x · doi:10.1111/j.1365-2257.2004.00653.x
  33. Marshall P., 2000, Rapid, automated, closed‐tube quantitation of CD4+ and CD8+ T‐cell populations on the Cell‐Dyn 4000 hematology analyzer, Laboratory Hematology, 6, 137
  34. 10.1532/LH96.07011 · doi:10.1532/lh96.07011
  35. O’Malley C.J., 1996, Administration of pegylated recombinant human megakaryocyte growth factor to humans stimulates the production of functional platelets that show no evidence of in vivo activation, Blood, 88, 3288, 10.1182/blood.V88.9.3288.bloodjournal8893288 · doi:10.1182/blood.v88.9.3288.bloodjournal8893288
  36. Ogura M., 1995, Clinical significance of platelet volume indices estimated by automated blood cell analyzer, Rinsho Byori., 43, 385
  37. Patterson K., 1997, Platelet parameters generated by automated blood counters, CME Bull Haematology, 1, 13
  38. 10.1093/ajcp/76.5.713 · doi:10.1093/ajcp/76.5.713
  39. 10.1111/j.1365-2141.1995.tb05320.x · doi:10.1111/j.1365-2141.1995.tb05320.x
  40. Richards E.M., 1996, Measurement of reticulated platelets following peripheral blood progenitor cell and bone marrow transplantation: implications for marrow reconstitution and the use of thrombopoietin, Bone Marrow Transplantation, 17, 1029
  41. Rinder H.M., 1993, Reticulated platelets in the evaluation of thrombopoietic disorders, Archives of Pathology & Laboratory Medicine, 117, 606
  42. 10.1093/ajcp/83.2.222 · doi:10.1093/ajcp/83.2.222
  43. 10.1046/j.1365-2141.1998.00563.x · doi:10.1046/j.1365-2141.1998.00563.x
  44. Rowan M., 1983, Blood Cell Volume Analysis – A New Screening Technology for the Haematologist
  45. Rumke C.L., 1979, Differential Leukocyte Counting, 39
  46. 10.1002/cyto.990130808 · doi:10.1002/cyto.990130808
  47. 10.1111/j.1365-2257.2006.00748.x · doi:10.1111/j.1365-2257.2006.00748.x
  48. 10.1038/sj.bmt.1705623 · doi:10.1038/sj.bmt.1705623
  49. 10.1088/0143-0815/6/3/003 · doi:10.1088/0143-0815/6/3/003
  50. Urrechaga E., 2008, Clinical utility of the Beckman Coulter parameter red blood cell size factor in the study of erythropoiesis, International Journal of Laboratory Hematology, 7
  51. 10.1136/jcp.47.8.736 · doi:10.1136/jcp.47.8.736
  52. WHO/LAB, 1998, Laboratory Services for Primary Health Care: Requirements for Essential Clinical Laboratory Tests. WHO/LAB/98.1;1998
  53. Zini G., 2006, Multicenter evaluation of Coulter MCH and the new derived LHD% parameters versus CHr and %hypo for the assessment of iron metabolism disturbances, Laboratory Hematology, 12, 184
  54. 10.1532/LH96.06012 · doi:10.1532/lh96.06012

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Metadata

Authors
BRIGGS, C.
Venue
International Journal of Laboratory Hematology
Publisher
Wiley
Published
2009-04-21
Volume
31
Issue
3
Pages
277-297
ISSN
  • 1751-5521 (ISSN-L)
  • 1751-553X
OpenAlex
W2050401194
Cited by
260
References
37
FWCI
6.89
Type
journal article
Language
en
Open access
bronze

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BRIGGS, C. (2009). Quality counts: new parameters in blood cell counting. International Journal of Laboratory Hematology. https://doi.org/10.1111/j.1751-553x.2009.01160.x

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