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Indian Journal of Pathology and Microbiology
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ORIGINAL ARTICLE
Year : 2009  |  Volume : 52  |  Issue : 2  |  Page : 185-188

Diagnosis of acute malaria by laser based cell counter with comparison of conventional and recent techniques in Indian scenario


1 Department of Pathology, Smt NHL Municipal Medical College, Ellisbridge, Ahmedabad - 380 006, Gujarat, India
2 Department of Pathology, Greencross Laboratories, 102, Anil Kunj Complex, Paldi Char Rasta, Ahmedabad - 380 006, Gujarat, India
3 Department of Haematology, Greencross Laboratories, 102, Anil Kunj Complex, Paldi Char Rasta, Ahmedabad - 380 006, Gujarat, India

Correspondence Address:
Dinesh A Rathod
D-502, Supath-II Apartments, Near Old Vadaj AMTS Bus Terminus, Old Vadaj, Ahmedabad, Gujarat - 380 013
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0377-4929.48912

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Malaria is one of the most important parasitic diseases in humans affecting 103 countries worldwide. Aims: The present study aims to determine the diagnostic utility of cell counter data - hemoglobin, total leukocyte count, platelet count and depolarized laser light (DLL)-based purple-coded events (PCEs) in detection of acute malaria. This is a retrospective study of 523 patient data that came for complete blood count for the first time. Results : One hundred thirty-five of the 523 patients showed microscopic evidence of malaria. Platelet count showed the highest sensitivity of 77.77% (105/135). PCEs (≥1) showed 43.7% (59/135) sensitivity. Conclusions : It is concluded that a low platelet count (<150 109/L) is a good hematological parameter for presumptive diagnosis of malaria. If we change the cut-off for PCEs from ≥1 to ≥2, the sensitivity would be 56.29% (76/135) and the specificity would be 94.58% (367/388), respectively. The sensitivity of DLL was low, particularly with a low parasitic index (PI). The number of PCEs does not correlate with the PI. The cut-off number of PCEs in DLL-based malaria detection should be modified in highly endemic areas.


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