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Year : 2013  |  Volume : 6  |  Issue : 6  |  Page : 681-682
Hematology analyzers to identify malaria and dengue

Hainan Medical University, China; Faculty of Medicine, University of Nis, Serbia; Joseph Ayobabalola University, Nigeria

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Date of Web Publication6-Sep-2014

How to cite this article:
Wiwanitkit V. Hematology analyzers to identify malaria and dengue. Ann Trop Med Public Health 2013;6:681-2

How to cite this URL:
Wiwanitkit V. Hematology analyzers to identify malaria and dengue. Ann Trop Med Public Health [serial online] 2013 [cited 2021 Mar 4];6:681-2. Available from:
Dear Sir,

The use of hematology analyzers to identify malaria and dengue" is very interesting. [1] The study by Sharma et al. recently proposed that "leukocyte abnormalities quantitated by automated analyzers successfully identified malaria and dengue and distinguished them from other fevers." [1] This is the first report on using automated hematology analyzer for help diagnose and differentiate malaria and dengue from other infections. [1] In fact, the use of automated hematology analyzer for determination of malaria and dengue has been in trials for a long time. The feasibility of using hematology analyzer is very interesting. If this approach is effective, it might help diagnose the diseases for the practitioners who have no experience with two tropical infections. Focusing on malaria, there are previous reports on using Cell-Dyn® , Coulter® GEN·S as well as LH750 automated hematology analyzers. [2],[3],[4] The common parameters that seem to be specific for malaria include lymphocyte and platelet parameters. [2],[3],[4] The fair diagnostic properties (sensitivity and specificity) of the automated hematology diagnosis can be observed. [2],[3],[4] Mohapatra et al. proposed that the use of hematology analyzer resulted in "a rapid, high throughput device which needs less expertization for the diagnosis of malaria." [3] Focusing on dengue, automated hematology analyzer can be applied in diagnosis. [5],[6] Potts et al. mentioned that some parameters platelet, white blood cell and neutrophil counts could be used with clinical features of the patients for discriminating between dengue and other febrile illnesses. [5] Furthermore, the use of derived parameters from automated hematology analyzer accompanied with basic clinical data for prediction of severe form of dengue infection (dengue shock syndrome) is also tested. [6] In the quoted report, Sharma et al. tried to develop statistical function from parameters derived from LH750 hematology analyzer. [1] The recent report by Sharma et al. can give additional data to previous reports since both dengue and malaria were studied. [1] In fact, dengue and malaria are both tropical infections and share common endemic areas. Hence, the effective tools for diagnosis of both diseases and discrimination both from other acute febrile illness can be useful. There are many points for consideration. First, based on the study by Sharma et al., it should not possible to tell that LH750 can distinguish malaria and dengue from other tropical infections since there is study on samples derived from any other defined infections (samples from patients with acute febrile illness are not specific). [1] Many important tropical infections can give very similar automated hematology analyzer parameter profiles and should be evaluated. The good examples are Chikungunya virus infection and leptospirosis. [7],[8] Second, the studied malaria and dengue patients might not homogeneous. There are many kinds of malaria (falciparum, vivax, ovalae and malariae) and there are also many groups of dengue (dengue fever, dengue hemorrhagic fever and dengue shock syndrome). Campuzano-Zuluaga et al. performed an appraisal on automated analyzer in diagnosis of malaria and concluded that "the accuracy for malaria diagnosis may vary according to species, parasite load, immunity and clinical context where the method is applied." [2] Nevertheless, it should remind that the concurrent infections of both diseases, malaria and dengue, is possible and this can be the problem in using hematologic analyzer. [9],[10] In fact, the misdiagnosis in cases of concurrent infection is possible despite the use of standard diagnostic approach. [9],[10] Third, Sharma et al. mentioned that the automated analyzer technique is good for cost-constrained settings. [1] In fact, the diagnosis by classical methods such as blood film examination and tourniquet test for dengue might be significantly cheaper and more cost effective.

   References Top

1.Sharma P, Bhargava M, Sukhachev D, Datta S, Wattal C. LH750 hematology analyzers to identify malaria and dengue and distinguish them from other febrile illnesses. Int J Lab Hematol 2013; Jun 15. doi: 10.1111/ijlh.12116. [Epub ahead of print].  Back to cited text no. 1
2.Campuzano-Zuluaga G, Hänscheid T, Grobusch MP. Automated haematology analysis to diagnose malaria. Malar J 2010;9:346.  Back to cited text no. 2
3.Mohapatra S, Samantaray JC, Arulselvi S, Panda J, Munot K, Saxena R. Automated detection of malaria with haematology analyzer Sysmex XE-2100. Indian J Med Sci 2011;65:26-31.  Back to cited text no. 3
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4.Lathia TB, Joshi R. Can hematological parameters discriminate malaria from nonmalarious acute febrile illness in the tropics? Indian J Med Sci 2004;58:239-44.  Back to cited text no. 4
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5.Potts JA, Rothman AL. Clinical and laboratory features that distinguish dengue from other febrile illnesses in endemic populations. Trop Med Int Health 2008;13:1328-40.  Back to cited text no. 5
6.Potts JA, Gibbons RV, Rothman AL, Srikiatkhachorn A, Thomas SJ, Supradish PO, et al. Prediction of dengue disease severity among pediatric Thai patients using early clinical laboratory indicators. PLoS Negl Trop Dis 2010;4:e769.  Back to cited text no. 6
7.Chen LH, Wilson ME. Dengue and chikungunya in travelers: Recent updates. Curr Opin Infect Dis 2012;25:523-9.  Back to cited text no. 7
8.Gulati S, Maheshwari A. Dengue fever-like illnesses: How different are they from each other? Scand J Infect Dis 2012;44:522-30.  Back to cited text no. 8
9.Bhalla A, Sharma N, Sharma A, Suri V. Concurrent infection with dengue and malaria. Indian J Med Sci 2006;60:330-1.  Back to cited text no. 9
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10.Charrel RN, Brouqui P, Foucault C, de Lamballerie X. Concurrent dengue and malaria. Emerg Infect Dis 2005;11:1153-4.  Back to cited text no. 10

Correspondence Address:
Viroj Wiwanitkit
Wiwanitkit House, Bangkhae, Bangkok 10160, Thailand

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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/1755-6783.140263

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