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Evaluation of automated malaria diagnosis using the Sysmex XN-30 analyser in a clinical setting
BACKGROUND: Early and accurate diagnosis of malaria is a critical aspect of efforts to control the disease, and several diagnostic tools are available. Microscopic assessment of a peripheral blood smear enables direct visualization of parasites in infected red blood cells and is the clinical diagnos...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6341646/ https://www.ncbi.nlm.nih.gov/pubmed/30670023 http://dx.doi.org/10.1186/s12936-019-2655-8 |
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author | Pillay, Evashin Khodaiji, Shanaz Bezuidenhout, Belinda C. Litshie, Monwabisi Coetzer, Thérèsa L. |
author_facet | Pillay, Evashin Khodaiji, Shanaz Bezuidenhout, Belinda C. Litshie, Monwabisi Coetzer, Thérèsa L. |
author_sort | Pillay, Evashin |
collection | PubMed |
description | BACKGROUND: Early and accurate diagnosis of malaria is a critical aspect of efforts to control the disease, and several diagnostic tools are available. Microscopic assessment of a peripheral blood smear enables direct visualization of parasites in infected red blood cells and is the clinical diagnostic gold standard. However, it is subjective and requires a high level of skill. Numerous indirect detection methods are in use, but are not ideal since surrogate markers of infection are measured. This study describes the first clinical performance evaluation of the automated Sysmex XN-30 analyser, which utilizes fluorescence flow cytometry to directly detect and quantitate parasite-infected red blood cells. RESULTS: Residual EDTA blood samples from suspected malaria cases referred for routine diagnosis were analysed on the XN-30. Parasitaemia was reported as a percentage, as well as absolute numbers of infected red blood cells, and scattergrams provided a visual image of the parasitized red blood cell clusters. The results reported by the XN-30 correlated with microscopy and the analyser demonstrated 100% sensitivity and specificity. Measurements were reproducible and storage of samples at room temperature did not affect the parameters. Several Plasmodium species were detected, including Plasmodium falciparum, Plasmodium vivax and Plasmodium ovale. The XN-30 also identified the transmissible gametocytes as a separate cluster on the scattergrams. Abnormal red blood cell indices (low haemoglobin and raised reticulocyte counts), haemoglobinopathies and thrombocytopenia did not interfere with the detection of parasites. The XN-30 also generated a concurrent full blood count for each sample. CONCLUSIONS: The novel technology of the Sysmex XN-30 provides a robust, rapid, automated and accurate platform for diagnosing malaria in a clinical setting. The objective enumeration of red blood cells infected with Plasmodium species makes it suitable for global use and allows monitoring of the parasite load once therapy has been initiated, thereby providing an early marker of drug resistance. The automated generation of a full blood count for each sample provides an opportunity for detecting unsuspected cases. Asymptomatic carriers can also be identified, which will be useful in blood transfusion centres, and will enable treatment of these individuals to prevent the spread of the disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12936-019-2655-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6341646 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63416462019-01-24 Evaluation of automated malaria diagnosis using the Sysmex XN-30 analyser in a clinical setting Pillay, Evashin Khodaiji, Shanaz Bezuidenhout, Belinda C. Litshie, Monwabisi Coetzer, Thérèsa L. Malar J Methodology BACKGROUND: Early and accurate diagnosis of malaria is a critical aspect of efforts to control the disease, and several diagnostic tools are available. Microscopic assessment of a peripheral blood smear enables direct visualization of parasites in infected red blood cells and is the clinical diagnostic gold standard. However, it is subjective and requires a high level of skill. Numerous indirect detection methods are in use, but are not ideal since surrogate markers of infection are measured. This study describes the first clinical performance evaluation of the automated Sysmex XN-30 analyser, which utilizes fluorescence flow cytometry to directly detect and quantitate parasite-infected red blood cells. RESULTS: Residual EDTA blood samples from suspected malaria cases referred for routine diagnosis were analysed on the XN-30. Parasitaemia was reported as a percentage, as well as absolute numbers of infected red blood cells, and scattergrams provided a visual image of the parasitized red blood cell clusters. The results reported by the XN-30 correlated with microscopy and the analyser demonstrated 100% sensitivity and specificity. Measurements were reproducible and storage of samples at room temperature did not affect the parameters. Several Plasmodium species were detected, including Plasmodium falciparum, Plasmodium vivax and Plasmodium ovale. The XN-30 also identified the transmissible gametocytes as a separate cluster on the scattergrams. Abnormal red blood cell indices (low haemoglobin and raised reticulocyte counts), haemoglobinopathies and thrombocytopenia did not interfere with the detection of parasites. The XN-30 also generated a concurrent full blood count for each sample. CONCLUSIONS: The novel technology of the Sysmex XN-30 provides a robust, rapid, automated and accurate platform for diagnosing malaria in a clinical setting. The objective enumeration of red blood cells infected with Plasmodium species makes it suitable for global use and allows monitoring of the parasite load once therapy has been initiated, thereby providing an early marker of drug resistance. The automated generation of a full blood count for each sample provides an opportunity for detecting unsuspected cases. Asymptomatic carriers can also be identified, which will be useful in blood transfusion centres, and will enable treatment of these individuals to prevent the spread of the disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12936-019-2655-8) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-22 /pmc/articles/PMC6341646/ /pubmed/30670023 http://dx.doi.org/10.1186/s12936-019-2655-8 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Pillay, Evashin Khodaiji, Shanaz Bezuidenhout, Belinda C. Litshie, Monwabisi Coetzer, Thérèsa L. Evaluation of automated malaria diagnosis using the Sysmex XN-30 analyser in a clinical setting |
title | Evaluation of automated malaria diagnosis using the Sysmex XN-30 analyser in a clinical setting |
title_full | Evaluation of automated malaria diagnosis using the Sysmex XN-30 analyser in a clinical setting |
title_fullStr | Evaluation of automated malaria diagnosis using the Sysmex XN-30 analyser in a clinical setting |
title_full_unstemmed | Evaluation of automated malaria diagnosis using the Sysmex XN-30 analyser in a clinical setting |
title_short | Evaluation of automated malaria diagnosis using the Sysmex XN-30 analyser in a clinical setting |
title_sort | evaluation of automated malaria diagnosis using the sysmex xn-30 analyser in a clinical setting |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6341646/ https://www.ncbi.nlm.nih.gov/pubmed/30670023 http://dx.doi.org/10.1186/s12936-019-2655-8 |
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