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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 B ; Reis-Filho, Antonio ; Barros, Austeclino M ; Souza-Neto, Sebastião M ; Nogueira, Lucas L ; Fukutani, Kiyoshi F ; Camargo, Erney P ; Camargo, Luís M A ; Barral, Aldina ; Duarte, Angelo ; Barral-Netto, Manoel

Malaria journal, 2010-05, Vol.9 (1), p.117-117, Article 117 [Periódico revisado por pares]

England: BioMed Central Ltd

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Título:
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: Andrade, Bruno B ; Reis-Filho, Antonio ; Barros, Austeclino M ; Souza-Neto, Sebastião M ; Nogueira, Lucas L ; Fukutani, Kiyoshi F ; Camargo, Erney P ; Camargo, Luís M A ; Barral, Aldina ; Duarte, Angelo ; Barral-Netto, Manoel
Assuntos: Adolescent ; Adult ; Aged ; Blood Specimen Collection - methods ; Brazil ; Care and treatment ; Causes of ; Child ; Child, Preschool ; Computer applications ; Cross-Sectional Studies ; Cytokines ; Detection ; Diagnosis ; Diagnostic tests ; Disease control ; DNA ; Epidemiology ; Expert Systems ; Female ; Genetic aspects ; Health aspects ; Human diseases ; Humans ; Infections ; Interleukin 10 ; Laboratories ; Light microscopy ; Malaria ; Malaria - diagnosis ; Malaria - parasitology ; Male ; Methods ; Microscope and microscopy ; Microscopy ; Microscopy - methods ; Middle Aged ; Neural networks ; Neural Networks (Computer) ; Nucleotide sequence ; Parasitemia - diagnosis ; Parasitemia - epidemiology ; Parasitemia - parasitology ; PCR ; Plasma levels ; Plasmodium - classification ; Plasmodium - genetics ; Plasmodium - isolation & purification ; Plasmodium falciparum ; Plasmodium vivax ; Polymerase chain reaction ; Polymerase Chain Reaction - methods ; Sensitivity and Specificity ; Specificity ; Symptoms ; Tropical diseases ; Vector-borne diseases ; Young Adult ; γ-Interferon
É parte de: Malaria journal, 2010-05, Vol.9 (1), p.117-117, Article 117
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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Descrição: 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. 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. 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). 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.
Editor: England: BioMed Central Ltd
Idioma: Inglês

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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 B ; Reis-Filho, Antonio ; Barros, Austeclino M ; Souza-Neto, Sebastião M ; Nogueira, Lucas L ; Fukutani, Kiyoshi F ; Camargo, Erney P ; Camargo, Luís M A ; Barral, Aldina ; Duarte, Angelo ; Barral-Netto, Manoel

England: BioMed Central Ltd

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