Automated haematology analysis to diagnose malaria

ABSTRACT: 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 mal...

Full description

Autores:
Campuzano Zuluaga, Germán
Grobusch, Martin
Hänscheid, Thomas
Tipo de recurso:
Review article
Fecha de publicación:
2010
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/38008
Acceso en línea:
https://hdl.handle.net/10495/38008
Palabra clave:
Malaria
Automatización - métodos
Automation - methods
Sangre - parasitología
Blood - parasitology
Citometría de Flujo - métodos
Flow Cytometry - methods
Parasitología - métodos
Parasitology - methods
Plasmodium - aislamiento y purificación
Plasmodium - isolation and purification
Sensibilidad y Especificidad
Sensitivity and Specificity
https://id.nlm.nih.gov/mesh/D008288
https://id.nlm.nih.gov/mesh/D001331
https://id.nlm.nih.gov/mesh/D001769
https://id.nlm.nih.gov/mesh/D005434
https://id.nlm.nih.gov/mesh/D010274
https://id.nlm.nih.gov/mesh/D010961
https://id.nlm.nih.gov/mesh/D012680
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-sa/4.0/
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oai_identifier_str oai:bibliotecadigital.udea.edu.co:10495/38008
network_acronym_str UDEA2
network_name_str Repositorio UdeA
repository_id_str
dc.title.spa.fl_str_mv Automated haematology analysis to diagnose malaria
title Automated haematology analysis to diagnose malaria
spellingShingle Automated haematology analysis to diagnose malaria
Malaria
Automatización - métodos
Automation - methods
Sangre - parasitología
Blood - parasitology
Citometría de Flujo - métodos
Flow Cytometry - methods
Parasitología - métodos
Parasitology - methods
Plasmodium - aislamiento y purificación
Plasmodium - isolation and purification
Sensibilidad y Especificidad
Sensitivity and Specificity
https://id.nlm.nih.gov/mesh/D008288
https://id.nlm.nih.gov/mesh/D001331
https://id.nlm.nih.gov/mesh/D001769
https://id.nlm.nih.gov/mesh/D005434
https://id.nlm.nih.gov/mesh/D010274
https://id.nlm.nih.gov/mesh/D010961
https://id.nlm.nih.gov/mesh/D012680
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
dc.creator.fl_str_mv Campuzano Zuluaga, Germán
Grobusch, Martin
Hänscheid, Thomas
dc.contributor.author.none.fl_str_mv Campuzano Zuluaga, Germán
Grobusch, Martin
Hänscheid, Thomas
dc.contributor.researchgroup.spa.fl_str_mv Grupo Malaria
dc.subject.decs.none.fl_str_mv Malaria
Automatización - métodos
Automation - methods
Sangre - parasitología
Blood - parasitology
Citometría de Flujo - métodos
Flow Cytometry - methods
Parasitología - métodos
Parasitology - methods
Plasmodium - aislamiento y purificación
Plasmodium - isolation and purification
Sensibilidad y Especificidad
Sensitivity and Specificity
topic Malaria
Automatización - métodos
Automation - methods
Sangre - parasitología
Blood - parasitology
Citometría de Flujo - métodos
Flow Cytometry - methods
Parasitología - métodos
Parasitology - methods
Plasmodium - aislamiento y purificación
Plasmodium - isolation and purification
Sensibilidad y Especificidad
Sensitivity and Specificity
https://id.nlm.nih.gov/mesh/D008288
https://id.nlm.nih.gov/mesh/D001331
https://id.nlm.nih.gov/mesh/D001769
https://id.nlm.nih.gov/mesh/D005434
https://id.nlm.nih.gov/mesh/D010274
https://id.nlm.nih.gov/mesh/D010961
https://id.nlm.nih.gov/mesh/D012680
dc.subject.meshuri.none.fl_str_mv https://id.nlm.nih.gov/mesh/D008288
https://id.nlm.nih.gov/mesh/D001331
https://id.nlm.nih.gov/mesh/D001769
https://id.nlm.nih.gov/mesh/D005434
https://id.nlm.nih.gov/mesh/D010274
https://id.nlm.nih.gov/mesh/D010961
https://id.nlm.nih.gov/mesh/D012680
description ABSTRACT: 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.
publishDate 2010
dc.date.issued.none.fl_str_mv 2010
dc.date.accessioned.none.fl_str_mv 2024-02-04T15:28:18Z
dc.date.available.none.fl_str_mv 2024-02-04T15:28:18Z
dc.type.spa.fl_str_mv Artículo de revisión
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dc.identifier.citation.spa.fl_str_mv Campuzano-Zuluaga, G., Hänscheid, T. & Grobusch, M.P. Automated haematology analysis to diagnose malaria. Malar J 9, 346 (2010). https://doi.org/10.1186/1475-2875-9-346
dc.identifier.issn.none.fl_str_mv 1475-2875
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/10495/38008
dc.identifier.doi.none.fl_str_mv 10.1186/1475-2875-9-346
identifier_str_mv Campuzano-Zuluaga, G., Hänscheid, T. & Grobusch, M.P. Automated haematology analysis to diagnose malaria. Malar J 9, 346 (2010). https://doi.org/10.1186/1475-2875-9-346
1475-2875
10.1186/1475-2875-9-346
url https://hdl.handle.net/10495/38008
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartofjournalabbrev.spa.fl_str_mv Malar. J.
dc.relation.citationendpage.spa.fl_str_mv 15
dc.relation.citationstartpage.spa.fl_str_mv 1
dc.relation.citationvolume.spa.fl_str_mv 9
dc.relation.ispartofjournal.spa.fl_str_mv Malaria Journal
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dc.publisher.place.spa.fl_str_mv Londres, Inglaterra
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spelling Campuzano Zuluaga, GermánGrobusch, MartinHänscheid, ThomasGrupo Malaria2024-02-04T15:28:18Z2024-02-04T15:28:18Z2010Campuzano-Zuluaga, G., Hänscheid, T. & Grobusch, M.P. Automated haematology analysis to diagnose malaria. Malar J 9, 346 (2010). https://doi.org/10.1186/1475-2875-9-3461475-2875https://hdl.handle.net/10495/3800810.1186/1475-2875-9-346ABSTRACT: 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.COL000752415application/pdfengBMC (BioMed Central)Londres, Inglaterrahttps://creativecommons.org/licenses/by-nc-sa/4.0/http://creativecommons.org/licenses/by-nc-sa/2.5/co/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Automated haematology analysis to diagnose malariaArtículo de revisiónhttp://purl.org/coar/resource_type/c_dcae04bchttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARTREVhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionMalariaAutomatización - métodosAutomation - methodsSangre - parasitologíaBlood - parasitologyCitometría de Flujo - métodosFlow Cytometry - methodsParasitología - métodosParasitology - methodsPlasmodium - aislamiento y purificaciónPlasmodium - isolation and purificationSensibilidad y EspecificidadSensitivity and Specificityhttps://id.nlm.nih.gov/mesh/D008288https://id.nlm.nih.gov/mesh/D001331https://id.nlm.nih.gov/mesh/D001769https://id.nlm.nih.gov/mesh/D005434https://id.nlm.nih.gov/mesh/D010274https://id.nlm.nih.gov/mesh/D010961https://id.nlm.nih.gov/mesh/D012680Malar. 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