Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/214991
Title: Practical diagnostic algorithms for Chagas disease: a focus on low resource settings
Author: Gabaldón Figueira, Juan Carlos
Skjefte, Malia
Longhi, Silvia
Escabia, Elisa
García, Lady Juliette
Ros Lucas, Albert
Martínez-Peinado, Nieves
Muñoz Calderón, Arturo
Gascón i Brustenga, Joaquim
Schijman, Alejandro G.
Alonso Padilla, Julio
Keywords: Epidemiologia
Algorismes
Malaltia de Chagas
Diagnòstic
Epidemiology
Algorithms
Chagas' disease
Diagnosis
Issue Date: Jul-2023
Publisher: Taylor & Francis
Abstract: Introduction: Chagas disease, caused by parasite Trypanosoma cruzi, is the most important neglected tropical disease in the Americas. Two drugs are available for treatment, but access to them is challenging, in part due to complex diagnostic algorithms. These are stage-dependent, involve multiple tests, and are ill-adapted to the reality of vast areas where the disease is endemic. Molecular and serologic tools are used to detect acute and chronic infections, with the performance of the latter showing geographic differences. Breakthroughs in the development of new diagnostic tools include the validation of a loop-mediated isothermal amplification assay for acute infections (T. cruzi-LAMP), and the regional validation of several rapid diagnostic tests (RDTs) for chronic infection, which simplify testing in resource-limited settings. The literature search was carried out in the MEDLINE database until 1 August 2023. Areas covered: This review outlines existing algorithms, and proposes new ones focused on point-of-care testing. Expert opinion: Integrating point-of-care testing into existing diagnostic algorithms in certain endemic areas will increase access to timely diagnosis and treatment. However, additional research is needed to validate the use of these techniques across a wider geography, and to better understand the cost-effectiveness of their large-scale implementation.
Note: Versió postprint del document publicat a: https://doi.org/10.1080/14787210.2023.2279110
It is part of: Expert Review of Anti-infective Therapy, 2023, vol. 21, num.12, p. 1287-1299
URI: http://hdl.handle.net/2445/214991
Related resource: https://doi.org/10.1080/14787210.2023.2279110
ISSN: 1478-7210
Appears in Collections:Articles publicats en revistes (Biologia, Sanitat i Medi Ambient)
Articles publicats en revistes (ISGlobal)

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