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Published in: Annals of Hematology 7/2008

01-07-2008 | Original Article

Effects of bacteria and yeast on WBC counting in three automated hematology counters

Authors: Hye Ryoun Kim, Bo Rae G. Park, Mi Kyung Lee

Published in: Annals of Hematology | Issue 7/2008

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Abstract

Bacteria or yeast may be observed on peripheral blood smears and may lead to spuriously elevated platelet counts. They have been reported to disturb the white blood cell (WBC) differential count if they clumped together, and a large number of such microorganisms have been shown to increase WBC counts. The purpose of this study was to evaluate the spurious rise in WBC counts according to species of microorganisms and automated hematology analyzers. The species we selected were Staphylococcus aureus, Escherichia coli, Candida albicans, C. tropicalis, C. krusei, C. dubliniensis, C. glabrata, and C. parapsilosis. We investigated the effects of bacteria and yeast on peripheral blood samples by the ADVIA 120/2120 Hematology System, Sysmex XE-2100 (TOA Medical Electronics, Kobe, Japan) and Coulter LH 750 (Beckman Coulter, Miami, FL, USA). C. albicans, C. tropicalis, C. krusei, and C. dubliniensis had an overt effect on the WBC count at concentrations of up to 1–5 × 107 colony-forming units (CFU)/mL in three automated cell counters, and C. glabrata and C. parapsilosis, when present at concentrations of 1–5 × 108 CFU/mL, caused a significant increase in the WBC count obtained by the Sysmex XE-2100 but not by the ADVIA 120/2120 system and Coulter LH 750 (p < 0.05). In conclusion, yeast may influence the results of peripheral blood smears only when the yeast concentration is unusually high. The results differed among analyzers and among species of yeast. Hematologists should be aware that samples containing bacteria and yeast may give erroneously high WBC counts and differential leukocyte counts and should review the peripheral blood smear by microscopy.
Literature
1.
go back to reference Bentley SA, Johnson A, Bishop CA (1993) A parallel evaluation of four automated hematology analyzers. Am J Clin Pathol 100:626–632PubMed Bentley SA, Johnson A, Bishop CA (1993) A parallel evaluation of four automated hematology analyzers. Am J Clin Pathol 100:626–632PubMed
2.
go back to reference Zandecki M, Genevieve F, Gerard J, Godon A (2007) Spurious counts and spurious results on haematology analysers: a review. Part I: platelets. Int J Lab Hematol 29:4–20PubMedCrossRef Zandecki M, Genevieve F, Gerard J, Godon A (2007) Spurious counts and spurious results on haematology analysers: a review. Part I: platelets. Int J Lab Hematol 29:4–20PubMedCrossRef
3.
go back to reference Branda JA, Kratz A (2006) Effects of yeast on automated cell counting. Am J Clin Pathol 126:248–254PubMedCrossRef Branda JA, Kratz A (2006) Effects of yeast on automated cell counting. Am J Clin Pathol 126:248–254PubMedCrossRef
4.
go back to reference Hur M, Lee YK, Lee KM, Kim HJ, Cho HI (2004) Pseudobasophilia as an erroneous white blood cell differential count with a discrepancy between automated cell counters: report of two cases. Clin Lab Haematol 26:287–290PubMedCrossRef Hur M, Lee YK, Lee KM, Kim HJ, Cho HI (2004) Pseudobasophilia as an erroneous white blood cell differential count with a discrepancy between automated cell counters: report of two cases. Clin Lab Haematol 26:287–290PubMedCrossRef
5.
go back to reference Zandecki M, Genevieve F, Gerard J, Godon A (2007) Spurious counts and spurious results on haematology analysers: a review. Part II: white blood cells, red blood cells, haemoglobin, red cell indices and reticulocytes. Int J Lab Hematol 29:21–41PubMedCrossRef Zandecki M, Genevieve F, Gerard J, Godon A (2007) Spurious counts and spurious results on haematology analysers: a review. Part II: white blood cells, red blood cells, haemoglobin, red cell indices and reticulocytes. Int J Lab Hematol 29:21–41PubMedCrossRef
6.
go back to reference Grimaldi E, Carandente P, Scopacasa F, Romano MF, Pellegrino M, Bisogni R, De Caterina M (2005) Evaluation of the monocyte counting by two automated haematology analysers compared with flow cytometry. Clin Lab Haematol 27:91–97PubMedCrossRef Grimaldi E, Carandente P, Scopacasa F, Romano MF, Pellegrino M, Bisogni R, De Caterina M (2005) Evaluation of the monocyte counting by two automated haematology analysers compared with flow cytometry. Clin Lab Haematol 27:91–97PubMedCrossRef
7.
go back to reference Huh J, Jung J, Yoon H, Chung W (2005) Pseudoeosinophilia associated with malaria infection determined in the Sysmex XE-2100 hematology analyzer. Ann Hematol 84:400–402PubMedCrossRef Huh J, Jung J, Yoon H, Chung W (2005) Pseudoeosinophilia associated with malaria infection determined in the Sysmex XE-2100 hematology analyzer. Ann Hematol 84:400–402PubMedCrossRef
8.
go back to reference Ducrest S, Meier F, Tschopp C, Pavlovic R, Dahinden CA (2005) Flowcytometric analysis of basophil counts in human blood and inaccuracy of hematology analyzers. Allergy 60:1446–1450PubMedCrossRef Ducrest S, Meier F, Tschopp C, Pavlovic R, Dahinden CA (2005) Flowcytometric analysis of basophil counts in human blood and inaccuracy of hematology analyzers. Allergy 60:1446–1450PubMedCrossRef
9.
go back to reference Sandhaus LM, Osei ES, Agrawal NN, Dillman CA, Meyerson HJ (2002) Platelet counting by the Coulter LH 750, Sysmex XE 2100, and Advia 120: a comparative analysis using the RBC/platelet ratio reference method. Am J Clin Pathol 118:235–241PubMedCrossRef Sandhaus LM, Osei ES, Agrawal NN, Dillman CA, Meyerson HJ (2002) Platelet counting by the Coulter LH 750, Sysmex XE 2100, and Advia 120: a comparative analysis using the RBC/platelet ratio reference method. Am J Clin Pathol 118:235–241PubMedCrossRef
10.
go back to reference Elghetany MT, Hudnall SD (1996) Spurious automated white cell count with Coulter STKS in the myelodysplastic syndromes suggests the presence of a red cell membrane defect. Am J Hematol 52:69PubMedCrossRef Elghetany MT, Hudnall SD (1996) Spurious automated white cell count with Coulter STKS in the myelodysplastic syndromes suggests the presence of a red cell membrane defect. Am J Hematol 52:69PubMedCrossRef
11.
go back to reference Bourner G, Dhaliwal J, Sumner J (2005) Performance evaluation of the latest fully automated hematology analyzers in a large, commercial laboratory setting: a 4-way, side-by-side study. Lab Hematol 11:285–297PubMedCrossRef Bourner G, Dhaliwal J, Sumner J (2005) Performance evaluation of the latest fully automated hematology analyzers in a large, commercial laboratory setting: a 4-way, side-by-side study. Lab Hematol 11:285–297PubMedCrossRef
12.
go back to reference Nakul-Aquaronne D, Sudaka-Sammarcelli I, Ferrero-Vacher C, Starck B, Bayle J (2003) Evaluation of the Sysmex Xe-2100 hematology analyzer in hospital use. J Clin Lab Anal 17:113–123PubMedCrossRef Nakul-Aquaronne D, Sudaka-Sammarcelli I, Ferrero-Vacher C, Starck B, Bayle J (2003) Evaluation of the Sysmex Xe-2100 hematology analyzer in hospital use. J Clin Lab Anal 17:113–123PubMedCrossRef
13.
go back to reference Kakkar N (2004) Spurious rise in the automated platelet count because of bacteria. J Clin Pathol 57:1096–1097PubMedCrossRef Kakkar N (2004) Spurious rise in the automated platelet count because of bacteria. J Clin Pathol 57:1096–1097PubMedCrossRef
14.
go back to reference Latif S, Veillon DM, Brown D, Kaltenbach J, Curry S, Linscott AJ, Oberle A, Cotelingam JD (2003) Spurious automated platelet count. Enumeration of yeast forms as platelets by the cell-DYN 4000. Am J Clin Pathol 120:882–885PubMedCrossRef Latif S, Veillon DM, Brown D, Kaltenbach J, Curry S, Linscott AJ, Oberle A, Cotelingam JD (2003) Spurious automated platelet count. Enumeration of yeast forms as platelets by the cell-DYN 4000. Am J Clin Pathol 120:882–885PubMedCrossRef
15.
go back to reference Arnold JA, Jowzi Z (1999) Images in haematology. Candida glabrata in a blood film. Br J Haematol 104:1PubMed Arnold JA, Jowzi Z (1999) Images in haematology. Candida glabrata in a blood film. Br J Haematol 104:1PubMed
Metadata
Title
Effects of bacteria and yeast on WBC counting in three automated hematology counters
Authors
Hye Ryoun Kim
Bo Rae G. Park
Mi Kyung Lee
Publication date
01-07-2008
Publisher
Springer-Verlag
Published in
Annals of Hematology / Issue 7/2008
Print ISSN: 0939-5555
Electronic ISSN: 1432-0584
DOI
https://doi.org/10.1007/s00277-008-0464-1

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