Indian Journal of Pathology and Microbiology
Home About us Instructions Submission Subscribe Advertise Contact e-Alerts Ahead Of Print Login 
Users Online: 1196
Print this page  Email this page Bookmark this page Small font sizeDefault font sizeIncrease font size
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
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/0377-4929.48912

Rights and Permissions

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.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded599    
    Comments [Add]    
    Cited by others 3    

Recommend this journal