Literature DB >> 26557525

Malaria Diagnosis Using Automated Analysers: A Boon for Hematopathologists in Endemic Areas.

Aminder Singh1, Vikram Narang1, Neena Sood2, Bhavna Garg3, Vikram Kumar Gupta4.   

Abstract

BACKGROUND: Haematological abnormalities are common in acute febrile tropical illnesses. Malaria is a major health problem in tropics. In endemic areas especially in the post monsoon season, it is not practical to manually screen all peripheral blood films (PBF) for malarial parasite. Automated analysers offer rapid, sensitive and cost effective screening of all samples. AIM: The study was done to evaluate the usefulness of automated cell counters analysing their histograms, scatter-grams and the flaggings generated in malaria positive and negative cases. The comparison of other haematological parameters were also studied which could help to identify malaria parasite in peripheral blood smear.
MATERIALS AND METHODS: The blood samples were analysed using Beckman coulter LH-750. The abnormal scatter grams and additional peaks in WBC histograms were observed diligently &amp; compared with normal controls. Haematological abnormalities were also evaluated. STATISTICAL ANALYSIS: Statistical analysis was done by using software Epi-Info version 7.1.4 freely available from CDC website. Fisher exact test was applied to calculate the p-value and value < 0.05 was considered as significant. Final identification of malarial parasite species was done independently by peripheral blood smear examination by two pathologists.
RESULTS: Of all the 200 cases evaluated abnormal scatter grams were observed in all the cases of malaria while abnormal WBC histogram peaks were noted in 96% cases demonstrating a peak at the threshold of the histogram. The difference between number of slides positive for abnormal WBC scatter gram and abnormal WBC histogram peaks were statistically highly significant (p=0.007). So abnormal WBC scatter gram can better give idea of malarial parasite presence. Of the haematological parameters thrombocytopenia (92% cases) emerged as the strongest predictor of malaria.
CONCLUSION: It is recommended for haematopathologists to review the haematological data and the scatter plots on the analyser along with peripheral blood smear examination.

Entities:  

Keywords:  Automation; Histogram; Malarial parasite; Scatter gram

Year:  2015        PMID: 26557525      PMCID: PMC4625244          DOI: 10.7860/JCDR/2015/15108.6696

Source DB:  PubMed          Journal:  J Clin Diagn Res        ISSN: 0973-709X


  18 in total

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Journal:  Parasitol Today       Date:  2000-12

7.  Usefulness of automated cell counter in detection of malaria in a cancer set up--our experience.

Authors:  Monica Jain; Surbhi Gupta; Jyotika Jain; Rajesh Kumar Grover
Journal:  Indian J Pathol Microbiol       Date:  2012 Oct-Dec       Impact factor: 0.740

Review 8.  Malaria and the red cell.

Authors:  David J Weatherall; Louis H Miller; Dror I Baruch; Kevin Marsh; Ogobara K Doumbo; Climent Casals-Pascual; David J Roberts
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2002

9.  Malaria detection with the Sysmex XE-2100 hematology analyzer using pseudoeosinophilia and abnormal WBC scattergram.

Authors:  Hee Jin Huh; Gwi Young Oh; Jung Won Huh; Seok Lae Chae
Journal:  Ann Hematol       Date:  2008-04-22       Impact factor: 3.673

10.  Antigen-specific immunosuppression in human malaria due to Plasmodium falciparum.

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Journal:  J Infect Dis       Date:  1986-04       Impact factor: 5.226

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  1 in total

Review 1.  Clinical Utility of Blood Cell Histogram Interpretation.

Authors:  E T Arun Thomas; S Bhagya; Abdul Majeed
Journal:  J Clin Diagn Res       Date:  2017-09-01
  1 in total

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