Optimización de recursos para determinar la carga viral de HIV-1 en un país con pocos recursos / Optimizing resources to reduce costs to determine HIV viral load in limited resources settings

Resumen Introducción. Las metas globales para controlar la epidemia de HIV contemplan que la carga viral sea indetectable en 90 % de las personas en tratamiento. El costo de la medición de la carga viral en lotes de muestras puede reducirse y, así, aumentar la cobertura cuando los recursos son limitados; sin embargo, su eficacia disminuye al aumentar la prevalencia del fracaso del tratamiento antirretroviral. Objetivo. Evaluar estrategias para disminuir la proporción de pacientes con fracaso del tratamiento antirretroviral en los lotes de muestras y, de esta manera, aumentar el ahorro en las pruebas de carga viral. Materiales y métodos. Las estrategias evaluadas fueron: a) la organización de los lotes de muestras según el esquema de tratamiento antirretroviral, y b) la exclusión de aquellos pacientes con antecedente reciente de fracaso del tratamiento antirretroviral, aquellos con menos de 12 meses de tratamiento antirretroviral y aquellos sin tratamiento antirretroviral previo. Los resultados de los lotes se compararon con los resultados individuales. Resultados. El valor diagnóstico negativo fue similar para los pacientes con esquema de primera línea (100,0 %; IC95% 99,5-100,0) o de segunda línea de tratamiento (99,4 %; IC95% 96,9-99,9). La incidencia del fracaso del tratamiento antirretroviral fue menor en los pacientes con tratamiento de primera línea (p<0,01), lo cual permitió un mayor ahorro en las pruebas de laboratorio en este grupo (74,0 %; IC95% 71,0-76,7) que en los pacientes con tratamiento de segunda línea (50,9 %; IC95% 44,4-57,3) (p<0,01). Conclusión. La selección de las muestras que se incluyeron en los lotes para determinar la carga viral del HIV según el tipo de esquema de tratamiento, permitió maximizar el porcentaje de ahorro en pruebas de laboratorio.

Abstract Introduction: HIV viral load testing is a key factor to evaluate the accomplishment of the UNAIDS target of 90% of viral suppression among people receiving antiretroviral therapy. Pooled samples are a potentially accurate and economic approach in resource-constrained settings, but efficiency can be negatively affected by high prevalence rates of virological failure. Objective: Strategies were assessed to increase the relative efficiency of pooled HIV viral load testing in resource-constrained settings. Materials and methods: We evaluated two strategies: a) plasma samples were not included in pools if patients had <12 months on antiretroviral therapy, patients had previous viral load >1,000 copies/ml, or were antiretroviral therapy naïve patients, and b) plasma pools were organized separately for first and second-line antiretroviral therapy regimens. Individual viral load tests were used to compare pooled results. Results: Negative predictive values were similar for patients on first (100.0%; 95% CI 99.5 to 100.0) and second-line antiretroviral therapy regimens (99.4%; 95% CI 96.9 to 99.9). However, the incidence of virological failure among individuals on first-line antiretroviral therapy was lower than second-line antiretroviral therapypatients (p <0.01), resulting in greater savings in laboratory tests in patients on first-line antiretroviral therapy (74.0%; 95% CI 71.0 to 76.7) compared with the group of patients on second-line antiretroviral therapy (50.9%; 95% CI 44.4 to 57.3) (p<0.01). Conclusion: Selecting the samples to be included in the pools and selecting the pools according to ART regimens are criteria that could lead to decreased spending on laboratory tests for HIV viral load determination in resource-constrained settings.

Low-cost assays for monitoring HIV infected individuals in resource-limited settings.

Use of a combination of CD4 counts and HIV viral load testing in the management of antiretroviral therapy (ART) provides higher prognostic estimation of the risk of disease progression than does the use of either test alone. The standard methods to monitor HIV infection are flow cytometry based for CD4+ T cell count and molecular assays to quantify plasma viral load of HIV. Commercial assays have been routinely used in developed countries to monitor ART. However, these assays require expensive equipment and reagents, well trained operators, and established laboratory infrastructure. These requirements restrict their use in resource-limited settings where people are most afflicted with the HIV-1 epidemic. With the advent of low-cost and/or low-tech alternatives, the possibility of implementing CD4 count and viral load testing in the management of ART in resource-limited settings is increasing. However, an appropriate validation should have been done before putting them to use for patient testing.