Evaluation of serological diagnostic tests of human brucellosis for prevention and control in Mexico

Autor: Sergio Pastén-Sánchez, Jesús Felipe González-Roldán, Irma López-Martínez, Fernando Vargas-Pino, Berenice Salgado-Jiménez, Jorge Membrillo-Hernández, Carmen Guzmán-Bracho, Irma Hernández-Monroy, José Alberto Díaz-Quiñonez, Liz G Beltrán-Parra, Demetrio Rodríguez
Rok vydání: 2020
Předmět:
Zdroj: European Journal of Clinical Microbiology & Infectious Diseases. 39:575-581
ISSN: 1435-4373
0934-9723
DOI: 10.1007/s10096-019-03760-3
Popis: Brucellosis is a zoonosis mainly present in developing countries. The WHO reports 500,000 new cases every year. From 2012 to 2016, 13,677 cases were reported in Mexico, with 2.00 to 2.64 rate per 100,000 inhabitants. To analyze the diagnostic algorithm of brucellosis in Mexico, we compared the commercial laboratory tests ELISA, Brucellacapt®, and lateral flow test (LFT) in a study of 473 individuals from two endemic Mexican populations. All patients were treated in first-level medical units for presenting brucellosis compatible symptoms and without a history of the disease. Clinical-epidemiological information was gathered and initial serum samples were obtained to react with anti-Brucella antibodies; subsequent samples were collected at follow-up treatment visits. Using the Rose Bengal screening, we found 165 negative samples and 308 positive reactive samples, of which 222 cases were confirmed and 234 were positive on at least one marker (IgG or IgM) or LFT. When Brucellacapt® was used, similar results to those observed with the conventional algorithm were found as judged by the Cohen's kappa coefficient (κ) (0.813, 95% CI 0.7788-0.8472). Similar κ indices between conventional algorithm and ELISA pair were found, 0.7038 (95% CI 0.6555-0.7521), representing high similarity between both groups of diagnosis. We conclude that conventional serodiagnoses, Brucellacapt® and LFT, presented inconclusive results and poor correlation between them. By contrast, ELISA test pair (IgG + IgM) presented high correlation with the conventional algorithm and greater capacity for correct positive and negative classification.
Databáze: OpenAIRE