Utility of Automated Hematology Analyzers in Diagnosis of Infective Etiologies: An Adjunct to Conventional Diagnostic Tools

  • Keyuri Bharat Patel
  • Mustafa Fakaruddin Ranapurwala https://orcid.org/0000-0002-1010-5549
  • Neelofar Safilmohmad Mansuri
  • Rohit Kumar Singh
  • Anjali Nimeshkumar Patel
  • Dharti Pravinbhai Padharia
Keywords: Automated analyzer, White Blood Cell, Scattergram, Malaria, Dengue

Abstract

Background: Febrile illnesses such as malaria and dengue are challenging to differentiate clinically. For more than a century, the diagnostic approach is by clinical features and microscopy or manual immune-chromatographic tests. Automated cellular (WBC) indices from hematology analyzers may afford a preliminary rapid distinction. Several abnormal scattergrams during routine CBC analysis appear for the malaria and dengue. Material and Methods: The present study is an observational, prospective study undertaken to evaluate the diagnostic utility of Sysmex XN-L series hematology analyzer as a screening tool to trigger specific testing for malaria and dengue. It includes patients suffering from either of the two febrile illnesses (malaria or dengue) at Hematology and microbiology section of Central Diagnostic Laboratory of a tertiary care centre in Central Gujarat. The sensitivity, specificity, PPV and NPV was performed for each abnormal pattern noted on scattergram for malaria and/or dengue. Interobserver variation is also taken in consideration. Results: Malaria cases showed a significant statistical association with the presence of an extended neutrophil zone and dengue positive cases with NS1 antigen, IgG and IgM antibodies testing showed significant association with the hourglass pattern. Higher degree of agreement was noted for the hourglass pattern, doubling of neutrophil zone pattern among the observers Conclusion: Significant statistical correlation was observed for extended neutrophil zone and malaria cases, hourglass pattern and dengue cases with a good agreement among the observers.

Author Biographies

Keyuri Bharat Patel
Department of Pathology, Pramukhswami Medical College, Bhaikaka University, Karamsad
Mustafa Fakaruddin Ranapurwala
Department of Pathology, Pramukhswami Medical College, Bhaikaka University, Karamsad
Neelofar Safilmohmad Mansuri
Department of Pathology, Pramukhswami Medical College, Bhaikaka University, Karamsad
Rohit Kumar Singh
Department of Pathology, Pramukhswami Medical College, Bhaikaka University, Karamsad
Anjali Nimeshkumar Patel
Department of Pathology, Pramukhswami Medical College, Bhaikaka University, Karamsad
Dharti Pravinbhai Padharia
Department of Pathology, Pramukhswami Medical College, Bhaikaka University, Karamsad

References

Kalra V, Ahmad S, Shrivastava V, Mittal G. Quantitative and volume, conductivity and scatter changes in leucocytes of patients with acute undifferentiated febrile illness: a pilot study. Trans R Soc Trop Med Hyg 2016;110(5):281-85.

Shariff MH, Dar AM, Pai V. Malaria diagnosis by abnormal scattergrams in automated hematology analyzer. Int J Pharm Biol Sci 2016;6(2):55-59.

Nathan M, Drager R, Guzman M. Epidemiology, burden of disease and transmission. In: WHO Press. Dengue Guidelines for Diagnosis, treatment, prevention and control. Geneva, Switzerland; 2009.p. 3-5.

Guidelines for the treatment of malaria [Book on internet]. 3rd ed. Switzerland: Global Malaria Programme, World Health Organization; 2015. [cited 20 June 2020] Available from: https://www.who.int/docs/default-source/documents/publications/gmp/guidelines-for-the-treatment-of-malaria-eng.pdf.

Nguyen PH, Day N, Pram TD, Ferguson DJ, White NJ. Intraleucocytic malaria pigment and prognosis in severe malaria. Trans R Soc Trop Med Hyg 1995;89:200-04.

Cogan, J., 2020. Dengue And Severe Dengue. [online] Who.int. Available at: <https://www.who.int/news-room/fact-sheets/detail/dengue-and-severe-dengue> [Accessed 8 July 2020].

Yoo JH, Song J, Lee KA, Kim YA, Park TS, Choi JR. Automated Detection of Malaria-Associated Pseudo eosinophilia and Abnormal WBC Scattergram by the Sysmex XE-2100 Hematology Analyzer: A Clinical Study with 1,801 Patients and Real-Time Quantitative PCR Analysis in Vivax Malaria-Endemic Area. Am J Trop Med Hyg. 2010;82(3):412-4.

Oehadian A, Michels M, Mast Q, Prihatni D, Puspita M, Hartantri Y et al. New parameters available on Sysmex XE-5000 hematology analyzers contribute to differentiating dengue from leptospirosis and enteric fever. Int J Lab Hematol. 2015;37(6):861-8.

Negi A, Mirdha BR, Arulselvi S, Singh A, Patel SS, Agarwal A. et al. Evaluation of an Automated, High Throughput Flowcytometry Based Technique for Diagnosis of Malaria. Int. J. Curr. Microbiol .App. Sci. 2018;7(6):941-951.

Huh, H.J., Oh, G.Y., Huh, J.W., and Chae, S.L. 2008. Malaria detection with the Sysmex XE-2100 hematology analyser using pseudoeosinophilia and abnormal WBC scattergram. Ann Hematol. 87 (9):755-9.

Published
30-05-2021
Section
Original Article