Literature DB >> 23455781

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

Monica Jain1, Surbhi Gupta, Jyotika Jain, Rajesh Kumar Grover.   

Abstract

BACKGROUND: Malaria diagnosis presents a challenge to all laboratories. In malaria-endemic areas, there is a need for rapid, sensitive and cost-effective method to effectively screen all samples, especially when the workload is very high. Various hematology analyzers have been investigated for detection of malaria in the past. Here, we present our experience of malaria detection in a cancer hospital where a large number of complete blood count requests are received either before or during chemotherapy. Fever, being a very common symptom in cancer patients, causes a suspicion of malaria. AIM: This study was conducted to assess the usefulness of hematology cell counter, viz. WBC-DIFF and WBC/BASO scatter plots and the flaggings generated in malaria-positive cases. The occurrence of pseudoeosinophilia as reported by previous studies was also assessed. The parasitic index was determined and its correlation with the abnormalities found on the Hematology analyzer was also studied.
MATERIALS AND METHODS: Blood samples were collected from 80 out-patient department and inpatients with various solid as well as hematological malignancies, who presented with acute febrile illness during September 2010 and January 2012, and for whom complete blood cell analysis and peripheral smear for malaria parasite had been requested.
RESULTS: Of the 80 patients who presented with fever and suspicion of malaria, 29 patients were positive for malaria and 10 cases were diagnosed incidentally by the findings on the cell counter and were confirmed by Giemsa-stained blood smears. The sensitivity and specificity of the abnormalities detected in the WBC-Diff channel in detecting malaria is 82% and 100% respectively. Using WBC-BASO channel abnormality for initial diagnosis the sensitivity and specificity is 50% and 92.5% respectively. The sensitivity and specificity with respect to pseudoeosinophilia is 18% and 100% respectively. The most common WBC and PLT flags were leukopenia, atypical lymphocytes, lymphopenia, WBC abnormal scattergram, platelet clumps, thrombocytopenia, platelet abnormal distribution flag.
CONCLUSION: The instrument provides significantly valuable diagnostic parameters in detecting acute Plasmodium vivax malaria; however, it is not very useful for acute falciparum malaria infection. It is suggested that the laboratories using the hematology analyzers should be aware of such specific parameters, even in the absence of a clinical request.

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Year:  2012        PMID: 23455781     DOI: 10.4103/0377-4929.107782

Source DB:  PubMed          Journal:  Indian J Pathol Microbiol        ISSN: 0377-4929            Impact factor:   0.740


  8 in total

1.  Application of Sysmex XN-Series Automated Haematology Analyser in the Rapid Detection of Malaria.

Authors:  Aparna Ningombam; Abhirup Sarkar; Shreyam Acharya; Anita Chopra; Kundan Kumar; Arulselvi Subramanian
Journal:  Indian J Hematol Blood Transfus       Date:  2020-04-03       Impact factor: 0.900

2.  Source identification of autochthonous-introduced Plasmodium vivax Malaria, Spain.

Authors:  Laura Barrado; Carmen Ezpeleta; José Miguel Rubio; Carmen Martín; José Manuel Azcona; Miren Arteaga; Xabier Beristain; Ana Navascués; Eva Ongay; Jesús Castilla
Journal:  Infection       Date:  2016-08-26       Impact factor: 3.553

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

Authors:  Aminder Singh; Vikram Narang; Neena Sood; Bhavna Garg; Vikram Kumar Gupta
Journal:  J Clin Diagn Res       Date:  2015-10-01

4.  Automated Hematology Analyzers in Diagnosis of Plasmodium vivax Malaria: an Adjunct to Conventional Microscopy.

Authors:  Kolakkadan Hasaf Mubeen; Clement Wilfred Devadoss; Rau Aarathi Rangan; Monnappa Gitanjali; Shetty Prasanna; Vp Sunitha
Journal:  Mediterr J Hematol Infect Dis       Date:  2014-06-01       Impact factor: 2.576

5.  The role of haematological parameters in predicting malaria with special emphasis on neutrophil lymphocyte count ratio and monocyte lymphocyte ratio: A single Institutional experience.

Authors:  Cheryl Sarah Philipose; T Umashankar
Journal:  Trop Parasitol       Date:  2016 Jul-Dec

6.  Platelet distribution width, mean platelet volume and haematological parameters in patients with uncomplicated plasmodium falciparum and P. vivax malaria.

Authors:  Elrazi A Ali; Tajeldin M Abdalla; Ishag Adam
Journal:  F1000Res       Date:  2017-06-12

7.  White blood cell differential fluorescence abnormal scattergram: A useful indicator for early detection of malarial parasite.

Authors:  Madeeha Rehan; Attika Khalid; Fariha Nasreen
Journal:  Pak J Med Sci       Date:  2022 Mar-Apr       Impact factor: 1.088

8.  How Reliable Are Hematological Parameters in Predicting Uncomplicated Plasmodium falciparum Malaria in an Endemic Region?

Authors:  Haruna Muwonge; Sharif Kikomeko; Larry Fred Sembajjwe; Abdul Seguya; Christine Namugwanya
Journal:  ISRN Trop Med       Date:  2013
  8 in total

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