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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2018: 95.39
For more details click here

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Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(6): 941-951
DOI: https://doi.org/10.20546/ijcmas.2018.706.112


Evaluation of an Automated, High Throughput Flowcytometry Based Technique for Diagnosis of Malaria
Arti Negi1, Bijay Ranjan Mirdha2, S. Arulselvi3, Avinash Singh4, Sangram Singh Patel1, Anjali Agarwal1* and Jyotish C. Samantaray2
1Department of Microbiology, Hind Institute of Medical Sciences, Barabanki, Uttar Pradesh, India
2AIIMS, Ansari Nagar, New Delhi, India
3Lab Medicine, Jai Prakash Narayan Apex Trauma Centre, AIIMS, New Delhi, India
4Department of Microbiology, Sanjay Gandhi Post Graduate Institute of Medical Sciences (SGPGIMS), Lucknow, Uttar Pradesh, India
*Corresponding author
Abstract:

Malaria is a potential medical emergency which should be treated as early as possible. It has become a leading cause of morbidity and mortality in many countries due to delay in diagnosis and treatment. Limitations of malaria diagnosis using classical methods have led to the development of several new techniques that simplify and speed up the diagnosis and increases the sensitivity. In the past few years, a newer technique for diagnosis of malaria has emerged based on flowcytometry. We conducted a study where we compared conventional methods of malaria diagnosis, microscopy [Giemsa, Acridine Orange, QBC assay (quantitative buffy coat)], antigen detection (pLDH) with flowcytometry based haematology analyser.A total of three hundred twenty five (n=325) clinically suspected malaria patients were enrolled in the study, each sample (n=325) was examined for the presence of malaria parasites by both conventional methods and flowcytometry and results were compared. The scattergram formed by five parameter counts i.e., lymphocytes, monocytes, eosinophills, neutrophils and basophils by haematology analyser were interpreted and analysed. It is capable of detecting specific abnormalities in the blood of patients suffering from malaria in the form of abnormal scattergrams. Based on abnormal scattergram in the DIFF plot, the overall sensitivity and specificity of flowcytometry based hematology analyser came out to be 78.46 % and 90% respectively, which was comparable to the Giemsa, a routine test done in many laboratories. Thus we conclude, flowcytometry based 5 parts differential haematology analyser is a rapid, automated, and high throughput device for early detection of malaria, especially in unsuspected cases.


Keywords: Malaria, Sysmex 2100, Haematology analyser, Scattergram, Flowcytometry
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How to cite this article:

Arti Negi, Bijay Ranjan Mirdha, S. Arulselvi, Avinash Singh, Sangram Singh Patel, Anjali Agarwal and Jyotish C. Samantaray. 2018. Evaluation of an Automated, High Throughput Flowcytometry Based Technique for Diagnosis of Malaria.Int.J.Curr.Microbiol.App.Sci. 7(6): 941-951. doi: https://doi.org/10.20546/ijcmas.2018.706.112