Original Research

Evaluation of the accuracy of the CellaVision™ DM96 in a high HIV-prevalence population in South Africa

Jenifer L. Vaughan, Sakina Loonat, Nazeer Alli
African Journal of Laboratory Medicine | Vol 5, No 1 | a313 | DOI: https://doi.org/10.4102/ajlm.v5i1.313 | © 2016 Jenifer L. Vaughan, Sakina Loonat, Nazeer Alli | This work is licensed under CC Attribution 4.0
Submitted: 30 March 2015 | Published: 09 March 2016

About the author(s)

Jenifer L. Vaughan, Department of Molecular Medicine and Haematology, University of the Witwatersrand, Johannesburg and Department of Haematology at the Chris Hani Baragwanath Academic Hospital, National Health Laboratory Services, Johannesburg, South Africa
Sakina Loonat, Department of Haematology at the Chris Hani Baragwanath Academic Hospital, National Health Laboratory Services, Johannesburg, South Africa
Nazeer Alli, Department of Molecular Medicine and Haematology, University of the Witwatersrand, Johannesburg and Department of Haematology at the Chris Hani Baragwanath Academic Hospital, National Health Laboratory Services, Johannesburg, South Africa

Abstract

Introduction: The CellaVision™ DM96 (DM96) is a digital microscopy system which performs well in developed countries. However, to date it has not been evaluated in Africa, where the pathology spectrum encountered is very different. In particular, its utility in a setting with high HIV prevalence has not been assessed, which is of interest because of the morphological aberrations often seen in HIV-positive patients.

Objectives: This study aimed to evaluate the accuracy of the DM96 in a South African laboratory, with emphasis on its performance in samples collected from HIV-positive patients.

Methods: A total of 149 samples submitted for a routine differential white cell count in 2012 and 2013 at the Chris Hani Baragwanath Academic Hospital in Johannesburg, South Africa were included, of which 79 (53.0%) were collected from HIV-positive patients. Results of DM96 analysis pre- and post-classification were compared with a manual differential white cell count and the impact of HIV infection and other variables of interest were assessed.

Results: Pre- and post-classification accuracies were similar to those reported in developed countries. Reclassification was required in 16% of cells, with particularly high misclassification rates for eosinophils (31.7%), blasts (33.7%) and basophils (93.5%). Multivariate analysis revealed a significant relationship between the number of misclassified cells and both the white cell count (p = 0.035) and the presence of malignant cells in the blood (p = 0.049), but not with any other variables analysed, including HIV status.

Conclusion: The DM96 exhibited acceptable accuracy in this South African laboratory, which was not impacted by HIV infection. However, as it does not eliminate the need for experienced morphologists, its cost may be unjustifiable in a resource-constrained setting.


Keywords

Not provided.

Metrics

Total abstract views: 4633
Total article views: 6863

 

Crossref Citations

1. Digital morphology analyzers in hematology: ICSH review and recommendations
Alexander Kratz, Szu‐hee Lee, Gina Zini, Jurgen A. Riedl, Mina Hur, Sam Machin
International Journal of Laboratory Hematology  vol: 41  issue: 4  first page: 437  year: 2019  
doi: 10.1111/ijlh.13042