CORRELATION OF AUTOMATED CELL COUNTER RBC HISTOGRAMS AND PERIPHERAL SMEAR IN ANEMIAS
Introduction : Automated peripheral blood count for the diagnosis of anemia is a basic process and the instrument can give some of the basic and advanced parameters, however there is need to depend on manual microscopic scan of peripheral smear for the morphological correlation and other clues which cannot be determined by the cell analysers. The number of cells that can be examined with the slide is generally much lesser than the cells counted by the automated hematology analyzers, in addition to this they generally provide far better accuracy and with the usage of histograms the number of slides to be screened can be drastically reduced.
In most laboratory setups, traditional emphasis has been placed on verifying the automated data, an exercise that has outlived its importance.
This present study was designed to determine the relationship between abbott cell dyn ruby- 5 part analyser automatedhaematologyanalyser histograms and peripheral smear using the blood samples at the department of pathology, HIMS HASSAN.
Aims: Objectives :
1) Interpretation of histograms in normal persons and patients with different types of anaemia
2) Comparison of automated histogram patterns with morphological features noticed on peripheral smear examination
Settings and Design: PROSPECTIVE
Methods and Material:
The present study will be conducted in Central Laboratory, Dept Of Pathology, HIMS Hasan. A total of 1000 samples sent for CBC and PS would be used for the present study.
Source of data :CBC samples sent for analysis received at Central Laboratory HIMS, Hassan.
Inclusion criteria :All patients who are diagnosed as anaemic according to WHO definition
1) Patients who are less than 5 years of age.
2) Inadequate quantity of blood sample for automated analyser (< 3ml).
3) Pre Analytical errors like clotted sample
This is a cross sectional prospective study done on all patients diagnosed as anaemia according to WHO definition. The CBC samples received would be analysed in the ABOTT cell dyn ruby instrument and a peripheral smear would be made from the same sample, using leishman stain.
Statistical analysis used: Analytical
Results: Out of total 1000 samples 383 samples were from Males and 617 samples were from females. Findings of RBC Histograms: In present study we found that, maximum number of cases (72.8%) were of Microcytic hypochromic anemia and showed various types of histograms. Among all 17% histograms were normal,30% were having left shifted curve,39% showed broad based curve,03% showed short peak and Bimodal peaked histogram was shown by 06% of total cases.
Conclusions: When the right interpretation of the curve is paired with the findings of blood count characteristics such as red cell distribution width and red cell indices, the RBC Histogram becomes a useful diagnostic tool
Key-words: Histogram, microcytic , macrocytic , RBCs
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