Literature DB >> 17050066

Development of an automated malaria discriminant factor using VCS technology.

Carol Briggs1, Anabela Da Costa, Lyn Freeman, Ilse Aucamp, Busisiwe Ngubeni, Samuel J Machin.   

Abstract

Malaria diagnosis presents a challenge to all laboratories. There is a need for rapid, sensitive, and cost-effective screening on all samples, particularly in areas where malaria is endemic. Response to malaria infection involves an increased monocyte count and production of large activated monocytes. These changes can be detected by volume, conductivity, and scatter (VCS) technology on certain automated blood cell counters (Beckman Coulter, Miami, FL). The SD of the volume of lymphocytes and monocytes demonstrates a significant difference from normal when malaria is present. By using a calculation derived from the SD volume of the lymphocytes and monocytes, herein termed the malaria factor, sensitivity of 98% and specificity 94% were demonstrated for the detection of malaria. Based on this derived discriminant, VCS technology should become a useful tool in the detection of malaria. A flag to indicate the potential presence of malaria could then be generated by the instrument if the user or manufacturer chose to do so.

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Year:  2006        PMID: 17050066     DOI: 10.1309/0PL3-C674-M39D-6GEN

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  13 in total

1.  Utility of cell population data (VCS parameters) as a rapid screening tool for Acute Myeloid Leukemia (AML) in resource-constrained laboratories.

Authors:  Harpreet Virk; Neelam Varma; Shano Naseem; Ishwar Bihana; Dmitry Sukhachev
Journal:  J Clin Lab Anal       Date:  2018-09-29       Impact factor: 2.352

2.  Quantitative and volume, conductivity and scatter changes in leucocytes of patients with acute undifferentiated febrile illness: a pilot study.

Authors:  Varun Kalra; Sohaib Ahmad; Vikas Shrivastava; Garima Mittal
Journal:  Trans R Soc Trop Med Hyg       Date:  2016-05       Impact factor: 2.184

3.  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

4.  Design of malaria diagnostic criteria for the Sysmex XE-2100 hematology analyzer.

Authors:  Germán Campuzano-Zuluaga; Gonzalo Alvarez-Sánchez; Gloria Elcy Escobar-Gallo; Luz Marina Valencia-Zuluaga; Alexandra Marcela Ríos-Orrego; Adriana Pabón-Vidal; Andrés Felipe Miranda-Arboleda; Silvia Blair-Trujillo; Germán Campuzano-Maya
Journal:  Am J Trop Med Hyg       Date:  2010-03       Impact factor: 2.345

Review 5.  Malaria diagnosis: a brief review.

Authors:  Noppadon Tangpukdee; Chatnapa Duangdee; Polrat Wilairatana; Srivicha Krudsood
Journal:  Korean J Parasitol       Date:  2009-05-26       Impact factor: 1.341

6.  VCS parameters of neutrophils, monocytes and lymphocytes may indicate local bacterial infection in cancer patients who accepted cytotoxic chemotherapeutics.

Authors:  N Zhou; L Liu; D Li; Q Zeng; X Song
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2015-11-12       Impact factor: 3.267

7.  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

Review 8.  Automated haematology analysis to diagnose malaria.

Authors:  Germán Campuzano-Zuluaga; Thomas Hänscheid; Martin P Grobusch
Journal:  Malar J       Date:  2010-11-30       Impact factor: 2.979

Review 9.  Clinical practice: the diagnosis of imported malaria in children.

Authors:  Jessica Maltha; Jan Jacobs
Journal:  Eur J Pediatr       Date:  2011-04-16       Impact factor: 3.183

10.  A diagnostic tool for malaria based on computer software.

Authors:  Manas Kotepui; Kwuntida Uthaisar; Bhukdee Phunphuech; Nuoil Phiwklam
Journal:  Sci Rep       Date:  2015-11-12       Impact factor: 4.379

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