Towards a precise test for malaria diagnosis in the Brazilian Amazon: comparison among field microscopy, a rapid diagnostic test, nested PCR, and a computational expert system based on artificial neural networks
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2010 |
| Outros Autores: | , , , , , , , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositório Institucional da FIOCRUZ (ARCA) |
| Texto Completo: | https://www.arca.fiocruz.br/handle/icict/1805 |
Resumo: | Fundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, BA, Brasil |
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Andrade, Bruno de BezerrilReis Filho, Antonio José SouzaBarros Júnior, Austeclino MagalhãesSouza Neto, Sebastião MartinsNogueira, Lucas LFukutani, Kiyoshi FerreiraCamargo, Erney PCamargo, Luís Marcelo AranhaBarral, Aldina Maria PradoDuarte, ÂngeloBarral Netto, Manoel2011-03-30T15:36:56Z2011-03-30T15:36:56Z2010ANDRADE, B. B. et al. Towards a precise test for malaria diagnosis in the Brazilian Amazon: comparison among field microscopy, a rapid diagnostic test, nested PCR, and a computational expert system based on artificial neural networks. Malaria Journal, v. 9, p. 117, 2010.https://www.arca.fiocruz.br/handle/icict/180510.1186/1475-2875-9-117engTowards a precise test for malaria diagnosis in the Brazilian Amazon: comparison among field microscopy, a rapid diagnostic test, nested PCR, and a computational expert system based on artificial neural networksinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleFundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, BA, BrasilFundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, BA, BrasilFaculdade Ruy Barbosa. Departamento de Ciência da Computação. Salvador, BA, BrasilFundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, BA, BrasilFundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, BA, BrasilFundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, BA, BrasilUniversidade de São Paulo. Instituto de Ciências Biológicas. Unidade Avançada de Pesquisa. Porto Velho, RO, BrasilUniversidade de São Paulo. Instituto de Ciências Biológicas. Unidade Avançada de Pesquisa. Porto Velho, RO, BrasilFundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, BA, BrasilUniversidade Estadual de Feira de Santana. Departamento de Tecnologia. Feira de Santana, BA, BrasilFundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, BA, BrasilBACKGROUND: Accurate malaria diagnosis is mandatory for the treatment and management of severe cases. Moreover, individuals with asymptomatic malaria are not usually screened by health care facilities, which further complicates disease control efforts. The present study compared the performances of a malaria rapid diagnosis test (RDT), the thick blood smear method and nested PCR for the diagnosis of symptomatic malaria in the Brazilian Amazon. In addition, an innovative computational approach was tested for the diagnosis of asymptomatic malaria. METHODS: The study was divided in two parts. For the first part, passive case detection was performed in 311 individuals with malaria-related symptoms from a recently urbanized community in the Brazilian Amazon. A cross-sectional investigation compared the diagnostic performance of the RDT Optimal-IT, nested PCR and light microscopy. The second part of the study involved active case detection of asymptomatic malaria in 380 individuals from riverine communities in Rondônia, Brazil. The performances of microscopy, nested PCR and an expert computational system based on artificial neural networks (MalDANN) using epidemiological data were compared. RESULTS: Nested PCR was shown to be the gold standard for diagnosis of both symptomatic and asymptomatic malaria because it detected the major number of cases and presented the maximum specificity. Surprisingly, the RDT was superior to microscopy in the diagnosis of cases with low parasitaemia. Nevertheless, RDT could not discriminate the Plasmodium species in 12 cases of mixed infections (Plasmodium vivax + Plasmodium falciparum). Moreover, the microscopy presented low performance in the detection of asymptomatic cases (61.25% of correct diagnoses). The MalDANN system using epidemiological data was worse that the light microscopy (56% of correct diagnoses). However, when information regarding plasma levels of interleukin-10 and interferon-gamma were inputted, the MalDANN performance sensibly increased (80% correct diagnoses). CONCLUSIONS: An RDT for malaria diagnosis may find a promising use in the Brazilian Amazon integrating a rational diagnostic approach. Despite the low performance of the MalDANN test using solely epidemiological data, an approach based on neural networks may be feasible in cases where simpler methods for discriminating individuals below and above threshold cytokine levels are available.MalariaMicroscopiaRedes Neurais (Computação)PlasmodiumReação em Cadeia da PolimerasePlasmodiumSistemas Especialistasinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZORIGINALTowards a precise test for malaria diagnosis.pdfTowards a precise test for malaria diagnosis.pdfapplication/pdf1567297https://www.arca.fiocruz.br/bitstream/icict/1805/1/Towards%20a%20precise%20test%20for%20malaria%20diagnosis.pdfaf5414cdc8baf2f7eb7c968e2b144600MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://www.arca.fiocruz.br/bitstream/icict/1805/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52TEXTTowards a precise test for malaria diagnosis.pdf.txtTowards a precise test for malaria diagnosis.pdf.txtExtracted texttext/plain50388https://www.arca.fiocruz.br/bitstream/icict/1805/5/Towards%20a%20precise%20test%20for%20malaria%20diagnosis.pdf.txtcd6fa1e0a8747197ab032ea00e7878fcMD55THUMBNAILTowards a precise test for malaria diagnosis.pdf.jpgTowards a precise test for malaria diagnosis.pdf.jpgGenerated Thumbnailimage/jpeg2346https://www.arca.fiocruz.br/bitstream/icict/1805/4/Towards%20a%20precise%20test%20for%20malaria%20diagnosis.pdf.jpg5b7c680869b80b7754963cab4620b2b0MD54icict/18052023-03-15 14:33:19.864oai:www.arca.fiocruz.br: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Repositório InstitucionalPUBhttps://www.arca.fiocruz.br/oai/requestrepositorio.arca@fiocruz.bropendoar:21352023-03-15T17:33:19Repositório Institucional da FIOCRUZ (ARCA) - Fundação Oswaldo Cruz (FIOCRUZ)false |
| dc.title.pt_BR.fl_str_mv |
Towards a precise test for malaria diagnosis in the Brazilian Amazon: comparison among field microscopy, a rapid diagnostic test, nested PCR, and a computational expert system based on artificial neural networks |
| title |
Towards a precise test for malaria diagnosis in the Brazilian Amazon: comparison among field microscopy, a rapid diagnostic test, nested PCR, and a computational expert system based on artificial neural networks |
| spellingShingle |
Towards a precise test for malaria diagnosis in the Brazilian Amazon: comparison among field microscopy, a rapid diagnostic test, nested PCR, and a computational expert system based on artificial neural networks Andrade, Bruno de Bezerril Malaria Microscopia Redes Neurais (Computação) Plasmodium Reação em Cadeia da Polimerase Plasmodium Sistemas Especialistas |
| title_short |
Towards a precise test for malaria diagnosis in the Brazilian Amazon: comparison among field microscopy, a rapid diagnostic test, nested PCR, and a computational expert system based on artificial neural networks |
| title_full |
Towards a precise test for malaria diagnosis in the Brazilian Amazon: comparison among field microscopy, a rapid diagnostic test, nested PCR, and a computational expert system based on artificial neural networks |
| title_fullStr |
Towards a precise test for malaria diagnosis in the Brazilian Amazon: comparison among field microscopy, a rapid diagnostic test, nested PCR, and a computational expert system based on artificial neural networks |
| title_full_unstemmed |
Towards a precise test for malaria diagnosis in the Brazilian Amazon: comparison among field microscopy, a rapid diagnostic test, nested PCR, and a computational expert system based on artificial neural networks |
| title_sort |
Towards a precise test for malaria diagnosis in the Brazilian Amazon: comparison among field microscopy, a rapid diagnostic test, nested PCR, and a computational expert system based on artificial neural networks |
| author |
Andrade, Bruno de Bezerril |
| author_facet |
Andrade, Bruno de Bezerril Reis Filho, Antonio José Souza Barros Júnior, Austeclino Magalhães Souza Neto, Sebastião Martins Nogueira, Lucas L Fukutani, Kiyoshi Ferreira Camargo, Erney P Camargo, Luís Marcelo Aranha Barral, Aldina Maria Prado Duarte, Ângelo Barral Netto, Manoel |
| author_role |
author |
| author2 |
Reis Filho, Antonio José Souza Barros Júnior, Austeclino Magalhães Souza Neto, Sebastião Martins Nogueira, Lucas L Fukutani, Kiyoshi Ferreira Camargo, Erney P Camargo, Luís Marcelo Aranha Barral, Aldina Maria Prado Duarte, Ângelo Barral Netto, Manoel |
| author2_role |
author author author author author author author author author author |
| dc.contributor.author.fl_str_mv |
Andrade, Bruno de Bezerril Reis Filho, Antonio José Souza Barros Júnior, Austeclino Magalhães Souza Neto, Sebastião Martins Nogueira, Lucas L Fukutani, Kiyoshi Ferreira Camargo, Erney P Camargo, Luís Marcelo Aranha Barral, Aldina Maria Prado Duarte, Ângelo Barral Netto, Manoel |
| dc.subject.decs.pt_BR.fl_str_mv |
Malaria Microscopia Redes Neurais (Computação) Plasmodium Reação em Cadeia da Polimerase Plasmodium Sistemas Especialistas |
| topic |
Malaria Microscopia Redes Neurais (Computação) Plasmodium Reação em Cadeia da Polimerase Plasmodium Sistemas Especialistas |
| description |
Fundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, BA, Brasil |
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2010 |
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2010 |
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2011-03-30T15:36:56Z |
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2011-03-30T15:36:56Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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| dc.identifier.citation.fl_str_mv |
ANDRADE, B. B. et al. Towards a precise test for malaria diagnosis in the Brazilian Amazon: comparison among field microscopy, a rapid diagnostic test, nested PCR, and a computational expert system based on artificial neural networks. Malaria Journal, v. 9, p. 117, 2010. |
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https://www.arca.fiocruz.br/handle/icict/1805 |
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10.1186/1475-2875-9-117 |
| identifier_str_mv |
ANDRADE, B. B. et al. Towards a precise test for malaria diagnosis in the Brazilian Amazon: comparison among field microscopy, a rapid diagnostic test, nested PCR, and a computational expert system based on artificial neural networks. Malaria Journal, v. 9, p. 117, 2010. 10.1186/1475-2875-9-117 |
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