- Research article
- Open Access
- Open Peer Review
Comparison of haematological parameters determined by the Sysmex KX - 2IN automated haematology analyzer and the manual counts
© Ike et al; licensee BioMed Central Ltd. 2010
- Received: 14 April 2009
- Accepted: 23 April 2010
- Published: 23 April 2010
This study was designed to determine the correlation between heamatological parameters by Sysmex KX-21N automated hematology analyzer with the manual methods.
Sixty (60) subjects were randomly selected from both apparently healthy subjects and those who have different blood disorders from the University of Teaching Hospital (UNTH), Ituku-Ozalla, Enugu, Enugu State, Nigeria. Three (3)mls of venous blood sample was collected aseptically from each subject into tri-potassium ethylenediamine tetra-acetic acid (K3EDTA) for the analysis of haematological parameters using the automated and the manual methods.
The blood film report by the manual method showed that 50% of the subjects were normocytic-normochromic while the other 50% revealed different abnormal blood pictures. Also, there were statistically significant differences (p < 0.05) in mean cell hemoglobin concentrations (MCHC) between the two methods. Similarly, the mean (S.E) values of hemoglobin, packed cell volume, platelet and total white cell counts demonstrated statistically significant difference (p < 0.001) and correlated positively when both methods were compared.
From the present study, it can be concluded that the automated hematology analyzer readings correlated well with readings by the standard manual method, although the latter method gave additional diagnostic information on the blood pictures. While patients' care and laboratory operations could be optimized by using manual microscopic examination as a reflective substitute for automated methods, usage of automated method would ease our workload and save time for patients.
- Automate Method
- Packed Cell Volume
- Blood Film
- Total White Blood Cell Count
- Automate Hematology Analyzer
The automated hematology analyzer with complete blood count (CBC) results has replaced the traditional manual or individual assay methods for haematological parameters and the eye count leucocyte differential as the initial screening and detection system for haematological abnormalities in modern hospitals and clinics. The traditional review of all automated hematology instrument results by preparation, staining and microscopic examination of a blood film examination has disappeared in most institutions. The reasons are the more accurate detection of specimens with distributional or morphological abnormalities by the traditional eye count method.
The opportunity for a clinician to request a microscopic examination of a blood film, whether or not it is flagged, must be preserved, because the clinician's knowledge of the patient's history, physical findings, and current or prior therapy may indicate review to discover an abnormality that may not have been apparent from the instrument results alone. There has also been a dramatic reduction of the numbers of medical technologists and technicians in medical laboratories. Automated complete blood count and differential counts has reduced the number of technologists needed for performance of these tests. But other factors have had a negative effect, such as the necessity to reduce costs. Consolidation of hematology and chemistry laboratories in core laboratories may produce savings in labor costs, but may also create problems of creating and maintaining areas of expertise, such as haematological morphology, because of cross-training required and the necessity of personnel to do all things.
Furthermore, hematology analyzers provide quick and accurate results in most situations. However, false results related either to platelets or other parameters from complete blood count may be observed in several instances, false low white blood cell (WBC) counts may be observed because of agglutination in the presence of ethylenediamine tetra-acetic acid (EDTA).
Despite the sophistication of present day instruments, there is still need to depend on manual techniques for primary calibration. This highlights the importance of the need to maintain the manual technical skills, and to ensure this by appropriate technician training programme, despite the temptation to leave it all to the machines. Also, the correlation between automated hematology analyzer and manual techniques is rare and conflicting. Hence, this present study was designed and conducted to determine the relationship between Sysmex KX-21N automated hematology analyzer blood counts and manual counts using randomly selected human subject's blood samples at the department of hematology. UNTH, Ituku-Ozalla, Enugu, Enugu State, Nigeria.
Venous blood samples were randomly collected from sixty (60) subjects. This comprised of both apparently healthy subjects (who came for medical examination) and those who have different blood disorders from University of Nigeria Teaching Hospital (UNTH), Ituku-Ozalla, Enugu, Enugu State, Nigeria. Ethical approval was obtained from the ethical Review Board of the University of Nigeria Teaching Hospital, Enugu. Consent was obtained from each subject at the commencement of the study.
The study was conducted in a routine hematology laboratory at the same hospital. Three (3) mls of blood sample was collected aseptically from each subject into tri-potassium ethylenediamine tetra-acetic acid (K3EDTA) anticoagulant bottle. This was well mixed by gentle inversion for complete blood count (CBC) analysis. Blood sample was divided into 2 parts as follows: Two (2) mls for manual method and one (1) ml for automated method using hematology auto analyzer Sysmex KX-21N.
One hundred (100) White blood cell (WBC) was counted by one competent and experienced medical laboratory scientist for both total and differential leucocyte counts. All manual samples were analyzed using standard hematological method as described by Dacie and Lewis, while the automated analysis was done following the manufacturer's operational guidelines. All samples were analyzed within 30 minutes of collection.
Haemoglobin (Hb) was estimated by the cyan-methaemoglobin method: Packed Cell Volume was estimated by the microhaematocrit method: Total and differential leucocyte counts were done by visual method. Mean Cell Haemoglobin Concentration (MCHC) was calculated from a knowledge of the haemoglobin and PCV.
The SPSS software was used in the statistical analysis. A p-value of less than 0.05 (p < 0.05) was considered significant.
The differential leucocyte count by the automated method showed four (4) blood samples with incomplete differential white cell count (<100 cells). Also, thirty (30) blood films demonstrated normochromic-normocytic (50%), 12 (20%) normocytic-hypochromic, 1(6.66%) microcytic-normochromic, (3.33%) increased platelet distribution, 2 (3.33%) decreased platelet distribution, 1 (1.66%) target cells, 1 (1.66%) polychromacia, 2 (3.33%) rouleaux, band form neutrophil and 10 (16.60%) demonstrated microcytic and hypochromic blood pictures. There were no reactive lymphocytes (Table 1).
Manual microscopic peripheral blood film assessment in all the subjects studied.
Rouleaux formation and
band form neutrophils
Automated peripheral blood, leucocyte counts (LDCs) are widely accepted in routine practice. However, many laboratories still reflexively perform manual LDCs based solely on abnormal automated results or instruments "flags", before any manual triage step. In the present study, the differential leucocyte count by automated method demonstrated (4) "unflagged" samples with incomplete white cell count (<100 cells). This might probably be due to inability of the automated machine to identify/differentiate the leucocytes, more especially the immature cells as previously reported by Lewis et. Al,1999). Also, this is in agreement with an earlier report by Takubo and Tatsuni whose result indicated discrepancies in a quality control (QC) survey in a manual leucocyte differential count which was attributed to poor differentiation of segmented neutrophils and band neutrophils.
The direct microscopic visualization of prepared blood film reported among the subjects (60) studied showed that 30 subjects (50%) were normocytic-normochromic, while the others (50%) revealed different abnormal blood pictures which are very important in the diagnosis of different blood disorders (Table 1). However, the imprecision in measurement of haemoglobin(Hb) and packed cell volume (PCV) by the manual method may result in variations in the Red blood cell (RBC) indices. This is best seen with mean cell haemoglobin concentration (MCHC) which may result in misclassification of values for diagnosis of the anaemias. This indicated that, although slow and at times cumbersome (Rock et al; 1984), the manual method still has some advantages over the automated methods.
The result of the present study is in contrast with an earlier report by Pierre and Novis et. al; who reported that automated haematology instruments are more accurate in the detection of specimens with distributional or morphologic abnormalities than by the traditional eye count method. However, the 100 cell count adopted in this present study could have contributed to some statistical variations observed between the automated and manual methods.
Comparison of the mean ± S.E of hematological profile of automated method with the manual method.
(MEAN ± S.E)
(MEAN ± S.E)
11.86 ± 0.30
12.07 ± 0.33***
36.00 ± 0.91
37.00 ± 0.83***
32.80 ± 0.19
33.24 ± 0.01
265.5 ± 18.94
251.7 ± 18.58***
7.00 ± 0.50
11.41 ± 4.90***
52.15 ± 1.77
54.68 ± 1.61
44.42 ± 1.79
43.48 ± 1.59
The results of the present study confirm that the automated hematology analyzer readings are as reliable as the standard manual method even though the latter method gives additional diagnostic information through the blood pictures. Hence, manual microscopic blood examination should always be used to validate the automated methods as previously suggested by Lantis et. al. Patients' care and laboratory operations should be optimized by using standard manual microscopic examination in conjunction with the automated methods, especially with respect to the differential leucocyte counts and blood cell morphology.
- Lantis KL, Harris RJ, Davis G, Renner N, Finn WG: Elimination of instrument-driven reflex manual differential leucocyte counts. Optimization of manual blood smear review criteria in a high-volume automated hematology laboratory. Am J Clin Pathol. 2003, 119 (5): 656-662. 10.1309/VH1KMV8WB7GB7R14.View ArticlePubMedGoogle Scholar
- Pierre RV: The demise of the eye count leucocytedifferential. Clin Lab Med. 2002, 22 (1): 279-297. 10.1016/S0272-2712(03)00075-1.View ArticlePubMedGoogle Scholar
- Novis DS, Walsh M, Wilkinson D, St Louis M, Ben-Ezra J: Laboratory productivity and the rate of manual blood smear review: College of American Pathologist Q-Probes Study of 95,141 complete blood count determinations performed in 263 institutions. Arch Pathol Lab Med. 2006, 130 (5): 596-601.PubMedGoogle Scholar
- Rock WA, Miale JB, Johnson WD: Detection of abnormal cells in white cell differentials: Comparison of the HEMATRAK automated system with manual methods. Am J Clinical Pathology. 1984, 81 (2): 233-236.View ArticleGoogle Scholar
- Zandecki M, Genevieve F, Gerald J, Gordon A: Spurious counts and spurious results on hematology analysers. International Journal of Laboratory hematology. 2007, 29 (1): 21-41. 10.1111/j.1365-2257.2006.00871.x.PubMedGoogle Scholar
- Bain BJ: Basic haematological techniques. Practical Haematology. Edited by: Dacie JV, Lewis SM. 1995, Churchill Livingstone Inc, New York, pp49-82. 8Google Scholar
- Lewis SM, Bentley SA: Haemocytochemistry by laser-beam optics: evaluation of Hemac 630L. Journal of Clinical Pathology. 1999, 30: 54-64. 10.1136/jcp.30.1.54.View ArticleGoogle Scholar
- Takubo T, Tatsumi N: Quality control in a manual and an automated leukocyte differential count. Southeast Asian J Trop Med Public Health. 1990, 30 (suppl 3): 66-74.Google Scholar
- Atilola LR, Kamentsky LA: Routine differential leucocyte count. Clinical Laboratory Medicine. 1996, 15: 289-291.Google Scholar
- McCarthy JM, Capuilari T, Spellacy WN: The correlation between automated hematology and manually read smears for the determination of nucleated red blood cells in umbilical cord blood. J Matern Fetal Neonatal Med. 2005, 17 (3): 199-201. 10.1080/14767050500073175.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1472-6890/10/3/prepub
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