Peer-reviewed veterinary case report
Analytical errors in nucleated red blood cell enumeration.
- Journal:
- Veterinary clinical pathology
- Year:
- 2023
- Authors:
- Brown, Juliet E et al.
- Affiliation:
- U-Vet Werribee Animal Hospital and Faculty of Veterinary and Agricultural Science · Australia
Plain-English summary
This study looked at how well a machine counts certain types of red blood cells in dogs and cats compared to counting them by hand. While the machine generally does a good job when there are low numbers of these cells, it struggles when the numbers are higher or when there are other factors like cell fragments or specific breeds, such as greyhounds. The researchers found that the machine's counts can be off in these situations, so it's important for veterinarians to double-check the results by looking at the blood samples under a microscope. Overall, the machine works well for low counts, but manual checks are necessary for higher counts or certain conditions.
Abstract
BACKGROUND: Enumeration of nucleated red blood cells (NRBCs) in peripheral blood of dogs and cats is performed by manual counting during blood film evaluation. Automated methods have increased precision and accuracy; however, most analyzers cannot distinguish leukocytes and NRBCs. The Sysmex XN-V Series may distinguish NRBCs and leukocytes; however, analytical errors occur. OBJECTIVES: We aimed to investigate cases with discrepant automated and manual NRBC counts, and to evaluate reasons for analytical errors. METHODS: Data from samples with increased NRBCs were collected retrospectively and compared with manual counts performed on blood films using Spearman's correlation, Passing-Bablok agreement analysis, and Bland-Altman comparisons. Precision of the automated method and interobserver agreement of manual counts were evaluated. Cases with discrepant results were investigated. RESULTS: Agreement between the methods was good at ≤1NRBC ×10/L in dogs and cats, and inadequate at ≥1NRBC ×10/L. The automated method demonstrated a negative proportional difference to the manual method. Precision was good for the automated method (overall CV 7.1%) and interobserver agreement for the manual method was poor overall (mean CV 27.3%, range 0%-106.1%). Inaccuracies in NRBC enumeration by the automated method occurred with high hematocrits, the mergence of the cell fragments and leukocyte clouds, and the presence of earlier erythroid precursors. CONCLUSIONS: NRBC enumeration by the WNR channel on the Sysmex XN-1000 V is precise and has good agreement with manual counts in canine and feline blood samples at ≤1NRBC ×10/L. Manual film review is indicated for samples with ≥1NRBC ×10/L, earlier erythroid precursors, samples from greyhounds and dehydrated patients, and if gating errors are noted.
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Search related cases →Original publication: https://pubmed.ncbi.nlm.nih.gov/37254038/