A standardized clinical database for research in Chagas disease: The NHEPACHA network

Adriana González Martínez, Irene Losada-Galván, Juan Carlos Gabaldón-Figueira, Nieves Martínez-Peinado, Roberto Magalhães Saraiva, Marisa Liliana Fernández, Janine M Ramsey, Oscar Noya-González, Belkisyole Alarcón de Noya, Alejandro Gabriel Schijman, Soledad Berón, Marcelo Abril, Joaquim Gascón, Sergio Sosa-Estani, María Jesús Pinazo, Julio Alonso-Padilla, Alejandro Marcel Hasslocher-Moreno and On behalf of the NHEPACHA network (Nuevas Herramientas para el diagnóstico y la evaluación del paciente con enfermedad de Chagas)

PLOS Neglected Tropical Diseases, 2024, vol. 18, issue 8, 1-9

Abstract: The NHEPACHA Iberoamerican Network, founded on the initiative of a group of researchers from Latin American countries and Spain, aims to establish a research framework for Chagas disease that encompasses diagnosis and treatment. For this purpose, the network has created a questionnaire to gather relevant data on epidemiological, clinical, diagnostic, and therapeutic aspects of the disease. This questionnaire was developed based on a consensus of expert members of the network, with the intention of collecting high-quality standardized data, which can be used interchangeably by the different research centers that make up the NHEPACHA network. Furthermore, the network intends to offer a clinical protocol that can be embraced by other researchers, facilitating comparability among published studies, as well as the development of therapeutic response and progression markers.Author summary: In this work, we present a new clinical questionnaire for the standardized evaluation and collection of clinical data from patients with acute or chronic Trypanosoma cruzi infection, as well as a uniformed database to collect it. The questionnaire has been produced after consensus from clinical experts belonging to the NHEPACHA network, a coalition of clinical research institutions in Latin America and Spain. This tool will facilitate the collection and sharing of high-quality clinical and paraclinical data useful to annotate sample collections, and allow clinically meaningful comparisons between different cohorts.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pntd00:0012364

DOI: 10.1371/journal.pntd.0012364

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