Custo-efetividade da prova tuberculínica versus QuantiFERON-TB Gold-In-Tube no diagnóstico e tratamento da infecção latente tuberculosa em profissionais de saúde da Atenção Básica no Brasil.

Abstract

Health professionals form one of the groups most vulnerable to infection by Mycobacterium tuberculosis (Mtb). According to estimates by the World Health Organization (WHO), 8.8 million people were infected with Mtb and were 1.4 million deaths from TB in 2010. The identification of persons with Latent Tuberculosis Infection (LTBI) is considered by WHO as a priority in the control of disease, especially in developing countries where the incidence of active disease has shown reduction. The aim of this study was to evaluate, in Brazil, the cost-effectiveness of tests Tuberculin Skin Test (TST) and Quantiferon TB Gold-In-Tube (QFT-GIT) in the diagnosis and treatment of LTBI in health professionals working in primary care from the perspective of SUS, comparing five strategies that include the QFT -GIT, different cutoff points for TST and sequential use of two tests; and analyze the impact of smoking on the risk of LTBI among health professionals, highlighting the category of Nursing. A full economic assessment of the type cost-effectiveness was performed, conducted considering a hypothetical cohort of 10,000 health professionals working in primary care, with limited time horizont of one year. A decision analytical model, characterized by a tree of probabilities of events, was developed using the TreeAge ProTM software 2013 (TreeAge Software Inc, Williamstown, MA, USA) to simulate the clinical and economic impacts on health of new diagnostic technology (QFT -GIT) versus the traditional TST. This model simulated five diagnostic strategies for detection and treatment of LTBI (a) TST, using a cut-off of 5 mm; (B) TST, using 10 mm cut-off currently recommended by the TNP; (C) QFT-GIT test; (D) TST, with a cut-off of 5 mm, followed by QFT-GIT test when positive TST; (E) TST, with a cut-off point of 10 mm, followed by QFT-GIT test when positive TST. Univariate deterministic sensitivity analysis was performed to assess the robustness of the results. In determining the factors associated with LTBI, a multiple logistic regression model with hierarchical selection was made, using the Stata software. TST strategy at the cut-off ≥ 10mm was the most cost-effective strategy, while the QFT-GIT alone was the most effective strategy, but showed higher cost. It was found to significantly greater risk for LTBI male [OR = 1.89; 95% CI: 1.11 to 3.20], age ≥ 41 years [OR = 1.56; 95% CI: 1.09-2,22], close contact with a family with TB [OR = 1.55; 95% CI: 1.02-2,36], the smoker smoking status [OR = 1.75; 95% CI: 1.03-2,98] and professional nursing category [OR = 1.44; 95% CI: 1.02-2,03]. It was concluded that TST in 10mm cut-off is the diagnostic strategy more cost-effective for LTBI among health professionals in primary care and that LTBI is associated with the smoke and professional category nurse.