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Scholars Journal of Applied Medical Sciences | Volume-3 | Issue-04
Malaria detection by automation: The Manipal experience
Dr. Indira Shastry K, Dr. Deepak Nayak M, Dr. Chethan Manohar, Dr.Sushma V. Belurkar, Dr. Ashima Mohanty
Published: July 29, 2015 |
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DOI: 10.36347/sjams.2015.v03i04.037
Pages: 1778-1782
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Abstract
Diagnosis of malaria has always been a diagnostic challenge in endemic areas. For many centuries
microscopy based diagnosis has been a standard method for routine diagnosis of malaria. And still this is a routine
diagnostic method used in low endemic areas which allows species identification. In endemic countries like India
microscopy based diagnosis of malaria is still used and despite the presence of expert microscopists, laboratory
misdiagnosis of malaria is still a problem. This may be due to immense work load, limited resources and manpower. The
aim of the study was to confirm utility of the formula developed by Briggs et al and evaluate the feasibility of rapid
diagnosis of malaria by using CBC data and malaria factor derived from standard deviation (SD) values of lymphocyte
and monocyte by using haematology counter Beckman - Coulter series LH 750 and 755TM. Three hundred and ten cases
and controls were selected from samples sent to clinical lab for evaluation of fever and for routine examination. All cases
and controls were scrutinised for malaria factor, thrombocytopenia, monocytosis, mean monocyte volume and
pseudoeosinophilia. At cutoff value of 3.4, 97% sensitivity and 89% specificity was obtained. Detection of malaria by
automated hematology counters my replace current screening methods for detection of malaria in future, but need of
extensive study in different population is need for validation of this method.