Practical diagnostic algorithms for Chagas disease: a focus on low resource settings

Juan Carlos Gabaldón-Figueira1, Malia Skjefte2, Silvia Longhi3

  • 1Barcelona Institute for Global Health (ISGlobal), Hospital Clinic-University of Barcelona, Barcelona, Spain.

Insights

Diagnosing Chagas disease in the Americas is complex. New point-of-care tests for Trypanosoma cruzi infections offer simpler, faster diagnosis, improving treatment access in endemic regions.

Area of Science:

  • Tropical Medicine
  • Parasitology
  • Infectious Diseases

Background:

  • Chagas disease, caused by Trypanosoma cruzi, is a major neglected tropical disease in the Americas.
  • Current diagnostic algorithms are complex, stage-dependent, and ill-suited for endemic areas, hindering treatment access.
  • Existing molecular and serologic tools show geographic variability in performance.

Purpose of the Study:

  • To review current Chagas disease diagnostic algorithms.
  • To propose new algorithms incorporating point-of-care testing (POCT).
  • To enhance accessibility of timely diagnosis and treatment for Chagas disease.

Main Methods:

  • Literature search of the MEDLINE database until August 1, 2023.
  • Analysis of existing diagnostic algorithms for Chagas disease.
  • Evaluation of novel diagnostic tools, including Trypanosoma cruzi-LAMP and rapid diagnostic tests (RDTs).

Main Results:

  • A loop-mediated isothermal amplification assay (T. cruzi-LAMP) has been validated for acute infections.
  • Regional validation of several rapid diagnostic tests (RDTs) simplifies chronic infection diagnosis in resource-limited settings.
  • New algorithms focused on POCT are proposed to improve diagnostic accessibility.

Conclusions:

  • Integrating POCT into diagnostic algorithms can improve access to timely Chagas disease diagnosis and treatment in endemic areas.
  • Further research is required to validate POCT across diverse geographies.
  • Cost-effectiveness studies are needed for large-scale implementation of new diagnostic strategies.
Abstract