Automated haematology analysis to diagnose malaria

Detalhes bibliográficos
Autor(a) principal: Campuzano-Zuluaga, Germán
Data de Publicação: 2010
Outros Autores: Hänscheid, Thomas, Grobusch, Grobusch
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/6184
Resumo: © 2010 licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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spelling Automated haematology analysis to diagnose malariaMalariaDiagnosisHematologyInformation systems© 2010 licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.For more than a decade, flow cytometry-based automated haematology analysers have been studied for malaria diagnosis. Although current haematology analysers are not specifically designed to detect malaria-related abnormalities, most studies have found sensitivities that comply with WHO malaria-diagnostic guidelines, i.e. ≥ 95% in samples with > 100 parasites/μl. Establishing a correct and early malaria diagnosis is a prerequisite for an adequate treatment and to minimizing adverse outcomes. Expert light microscopy remains the 'gold standard' for malaria diagnosis in most clinical settings. However, it requires an explicit request from clinicians and has variable accuracy. Malaria diagnosis with flow cytometry-based haematology analysers could become an important adjuvant diagnostic tool in the routine laboratory work-up of febrile patients in or returning from malaria-endemic regions. Haematology analysers so far studied for malaria diagnosis are the Cell-Dyn®, Coulter® GEN•S and LH 750, and the Sysmex XE-2100® analysers. For Cell-Dyn analysers, abnormal depolarization events mainly in the lobularity/granularity and other scatter-plots, and various reticulocyte abnormalities have shown overall sensitivities and specificities of 49% to 97% and 61% to 100%, respectively. For the Coulter analysers, a 'malaria factor' using the monocyte and lymphocyte size standard deviations obtained by impedance detection has shown overall sensitivities and specificities of 82% to 98% and 72% to 94%, respectively. For the XE-2100, abnormal patterns in the DIFF, WBC/BASO, and RET-EXT scatter-plots, and pseudoeosinophilia and other abnormal haematological variables have been described, and multivariate diagnostic models have been designed with overall sensitivities and specificities of 86% to 97% and 81% to 98%, respectively. The accuracy for malaria diagnosis may vary according to species, parasite load, immunity and clinical context where the method is applied. Future developments in new haematology analysers such as considerably simplified, robust and inexpensive devices for malaria detection fitted with an automatically generated alert could improve the detection capacity of these instruments and potentially expand their clinical utility in malaria diagnosis.BioMed CentralRepositório da Universidade de LisboaCampuzano-Zuluaga, GermánHänscheid, ThomasGrobusch, Grobusch2012-04-27T14:08:37Z20102010-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/6184engMalaria Journal 2010, 9:3461475-2875info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T15:48:32Zoai:repositorio.ul.pt:10451/6184Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:31:22.719426Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Automated haematology analysis to diagnose malaria
title Automated haematology analysis to diagnose malaria
spellingShingle Automated haematology analysis to diagnose malaria
Campuzano-Zuluaga, Germán
Malaria
Diagnosis
Hematology
Information systems
title_short Automated haematology analysis to diagnose malaria
title_full Automated haematology analysis to diagnose malaria
title_fullStr Automated haematology analysis to diagnose malaria
title_full_unstemmed Automated haematology analysis to diagnose malaria
title_sort Automated haematology analysis to diagnose malaria
author Campuzano-Zuluaga, Germán
author_facet Campuzano-Zuluaga, Germán
Hänscheid, Thomas
Grobusch, Grobusch
author_role author
author2 Hänscheid, Thomas
Grobusch, Grobusch
author2_role author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Campuzano-Zuluaga, Germán
Hänscheid, Thomas
Grobusch, Grobusch
dc.subject.por.fl_str_mv Malaria
Diagnosis
Hematology
Information systems
topic Malaria
Diagnosis
Hematology
Information systems
description © 2010 licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
publishDate 2010
dc.date.none.fl_str_mv 2010
2010-01-01T00:00:00Z
2012-04-27T14:08:37Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10451/6184
url http://hdl.handle.net/10451/6184
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Malaria Journal 2010, 9:346
1475-2875
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv BioMed Central
publisher.none.fl_str_mv BioMed Central
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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