Successful detection and species differentiation of malarial parasite using an automated hematology analyser: A case series

Case Report

Authors

  • Arundhathi Shankaralingappa Associate Professor of Pathology, All India Institute of Medical Sciences (AIIMS), Mangalagiri, Andhra Pradesh, India.
  • Rajagopal Poongodi Assistant Professor of Pathology, All India Institute of Medical Sciences (AIIMS), Mangalagiri, Andhra Pradesh, India. https://orcid.org/0000-0002-8834-2616
  • Thirunavukkarasu Arun Babu Additional Professor of Pediatrics, All India Institute of Medical Sciences (AIIMS), Mangalagiri, Andhra Pradesh, India

DOI:

https://doi.org/10.56501/intjclinicopatholcorrel.v7i1.765

Keywords:

Malaria, Automated, Hematology analyser, Plasmodium, scatterplot

Abstract

Malaria is a global burden and requires accurate and early diagnosis. WHO has recommended that all clinically suspected cases should have parasitological confirmation for definitive treatment. There are other many methods which are expensive and require high skills. Hence, incorporation of reliable methods into automated hematology analysers will help identify malarial parasites at the earliest. Here we present three cases in which Plasmodium were identified on autoanalyser.

References

Pillay E, Khodaiji S, Bezuidenhout BC, Litshie M, Coetzer TL. Evaluation of automated malaria diagnosis using the Sysmex XN-30 analyser in a clinical setting. Malar J 2019 ; 18(1):15.

Dharap P, Raimbault S. Performance evaluation of machine learning-based infectious screening fags on the HORIBA Medical Yumizen H550 Haematology Analyzer for vivax malaria and dengue fever. Malar J 2020; 19: 429.

Papasouliotis K, Cue S, Crawford E, Pinches M, Dumont M, Burley K. Comparison of white blood cell differential percentages determined by the in‐house LaserCyte hematology analyzer and a manual method. Veterinary clinical pathology. 2006 Sep;35(3):295-302.

World malaria report 2020: 20 years of global progress and challenges. Geneva: World Health Organization; 2020.

Who. World malaria report 2020: 20 years of global progress and challenges. World malaria report 2020: 20 years of global progress and challenges. 2020:299.

Maru A M, ShrivastavaA , Utility of automated hematology analyzer in diagnosis of malarial parasite. Indian J Pathol Oncol 2019; 6 (3):428-433.

Tougan T, Suzuki Y, Itagaki S, Izuka M, Toya Y, Uchihashi K, Horii T. An automated haematology analyzer XN-30 distinguishes developmental stages of falciparum malaria parasites cultured in vitro. Malar J 2018;17:59.

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Published

2023-03-31

How to Cite

Shankaralingappa, A., Poongodi , R., & Arun Babu, T. (2023). Successful detection and species differentiation of malarial parasite using an automated hematology analyser: A case series : Case Report. International Journal of Clinicopathological Correlation, 7(1), 1–7. https://doi.org/10.56501/intjclinicopatholcorrel.v7i1.765

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Section

Case Report