Evaluation of diagnostic tests’ sensitivity, specificity and predictive values in bovine carcasses showing brucellosis suggestive lesions, condemned by Brazilian Federal Meat Inspection Service in the Amazon Region of Brazil
2022
Rodrigues dos Santos Souza, Márcio | Martins Soares Filho, Paulo | Arrais Hodon, Mikael | Gomes de Souza, Patrícia | Osório Silva, Carlos Henrique
Cervical bursitis is a suggestive lesion of bovine brucellosis. Diagnostic sensitivity and specificity of two brucellosis serological tests, Rose Bengal (RB) and serum agglutination test with 2-mercaptoethanol (SAT/2-ME), and of isolation and identification (bacteriology) were evaluated through Bayesian latent class analysis (BLCA). A total of 165 paired serum and cervical bursitis samples detected at inspection by Brazilian federal meat inspection services were analyzed. The best model fit to the data occurred when accounting for the conditional dependence between serological tests. According to this model, RB and SAT/2-ME had almost the same sensitivity, 0.960 [0.903 – 0.992] and 0.963 [0.906 – 0.994] with 95 % Credible Interval (95 %CrI), respectively. Specificities were 0.9068 [0.562 – 0.997] and 0.875 [0.546 – 0.990] for RB and SAT/2-ME, respectively, also with 95 %CrI. Bacteriology had lower sensitivity than serological tests, 0.594 (95 %CrI: [0.525 – 0.794]) and the highest specificity of all evaluated tests, 0.992 (95 %CrI: [0.961–1.00]). Prevalence of infected animals was 0.829 (95 %CrI: [0.700−0.900]). BLCA showed that both RB and SAT/2-ME fitted to the purpose of initial screening the brucellosis suspect in carcasses with cervical bursitis in a reliable way. The results of RB or SAT/2-ME can guide the sanitary actions for brucellosis control and help the implementation of a risk-based surveillance system in the meat production chain. This strategy is especially true in remote areas with large beef cattle herds, raised extensively, where in vivo tests are rarely performed due to logistic and management constraints, as in the Northern region of Brazil.
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