Evaluation of three serological tests for diagnosis of bovine brucellosis in Pakistan using Bayesian latent class analysis

Shumaila Arif, Jane Heller, Marta Hernandez-Jover, D. M. McGill, Peter C Thomson

Research output: Other contribution to conferenceAbstract

Abstract

This study aimed to address concerns about varied test accuracy for diagnosing bovine brucellosis in the field by estimating the sensitivity (Se) and specificity (Sp) of three commonly used serological tests in naturally-infected smallholder farms in Pakistan.
Materials and methods: Between February and June 2015, a cross-sectional study was conducted in five districts
of Punjab and two districts of Sindh. Sera from cattle (n = 441) and buffalo (n = 621) were diagnosed using the Rose Bengal test (RBT), indirect ELISA (I-ELISA) and competitive ELISA (C-ELISA). A Bayesian latent class analysis was used to estimate the Se and Sp of these in the absence of a gold standard test. The model was fitted under the assumption of conditional independence between the three tests and also conditional dependence. In addition, the model was also fitted with three different prior information of beta distributions to incorporate the prior information from the published literature.
Results: The test with the highest Se was the C-ELISA, with a range from 76.1 to 81.2%. The RBT was found to have the highest Sp (99.1 to 99.4%) of the tests. The results of present study identified discrepancies in Se of
these tests with the published literature, especially for RBT which is usually thought of as a very highly sensitive test. Results echo anecdotal reports and show that RBT has lower Se and higher Sp when used in the field
conditions of the current study. Therefore, we raise issues regarding the reliability of using RBT as a screening test in such conditions, as its use may result in false negative results.
Conclusion: Consequently, we recommended that none of the evaluated tests should be performed in isolation in smallholder scenarios, with the use of RBT and C-ELISA in parallel combination producing optimum Se and Sp for field condition in Pakistan
Original languageEnglish
Pages120
Publication statusPublished - 2018
Event15th International Symposium of Veterinary Epidemiology and Economics
- Chiang Mai, Thailand
Duration: 12 Nov 201816 Nov 2018

Conference

Conference15th International Symposium of Veterinary Epidemiology and Economics
CountryThailand
Period12/11/1816/11/18

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Bovine Brucellosis
Rose Bengal
Pakistan
Serologic Tests
Enzyme-Linked Immunosorbent Assay
Sensitivity and Specificity
Information Dissemination
Buffaloes
Cross-Sectional Studies
Serum

Cite this

Arif, S., Heller, J., Hernandez-Jover, M., McGill, D. M., & Thomson , P. C. (2018). Evaluation of three serological tests for diagnosis of bovine brucellosis in Pakistan using Bayesian latent class analysis. 120. Abstract from 15th International Symposium of Veterinary Epidemiology and Economics
, Thailand.
Arif, Shumaila ; Heller, Jane ; Hernandez-Jover, Marta ; McGill, D. M. ; Thomson , Peter C. / Evaluation of three serological tests for diagnosis of bovine brucellosis in Pakistan using Bayesian latent class analysis. Abstract from 15th International Symposium of Veterinary Epidemiology and Economics
, Thailand.
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Arif, S, Heller, J, Hernandez-Jover, M, McGill, DM & Thomson , PC 2018, 'Evaluation of three serological tests for diagnosis of bovine brucellosis in Pakistan using Bayesian latent class analysis' 15th International Symposium of Veterinary Epidemiology and Economics
, Thailand, 12/11/18 - 16/11/18, pp. 120.

Evaluation of three serological tests for diagnosis of bovine brucellosis in Pakistan using Bayesian latent class analysis. / Arif, Shumaila; Heller, Jane; Hernandez-Jover, Marta; McGill, D. M.; Thomson , Peter C.

2018. 120 Abstract from 15th International Symposium of Veterinary Epidemiology and Economics
, Thailand.

Research output: Other contribution to conferenceAbstract

TY - CONF

T1 - Evaluation of three serological tests for diagnosis of bovine brucellosis in Pakistan using Bayesian latent class analysis

AU - Arif, Shumaila

AU - Heller, Jane

AU - Hernandez-Jover, Marta

AU - McGill, D. M.

AU - Thomson , Peter C

PY - 2018

Y1 - 2018

N2 - This study aimed to address concerns about varied test accuracy for diagnosing bovine brucellosis in the field by estimating the sensitivity (Se) and specificity (Sp) of three commonly used serological tests in naturally-infected smallholder farms in Pakistan.Materials and methods: Between February and June 2015, a cross-sectional study was conducted in five districtsof Punjab and two districts of Sindh. Sera from cattle (n = 441) and buffalo (n = 621) were diagnosed using the Rose Bengal test (RBT), indirect ELISA (I-ELISA) and competitive ELISA (C-ELISA). A Bayesian latent class analysis was used to estimate the Se and Sp of these in the absence of a gold standard test. The model was fitted under the assumption of conditional independence between the three tests and also conditional dependence. In addition, the model was also fitted with three different prior information of beta distributions to incorporate the prior information from the published literature.Results: The test with the highest Se was the C-ELISA, with a range from 76.1 to 81.2%. The RBT was found to have the highest Sp (99.1 to 99.4%) of the tests. The results of present study identified discrepancies in Se ofthese tests with the published literature, especially for RBT which is usually thought of as a very highly sensitive test. Results echo anecdotal reports and show that RBT has lower Se and higher Sp when used in the fieldconditions of the current study. Therefore, we raise issues regarding the reliability of using RBT as a screening test in such conditions, as its use may result in false negative results.Conclusion: Consequently, we recommended that none of the evaluated tests should be performed in isolation in smallholder scenarios, with the use of RBT and C-ELISA in parallel combination producing optimum Se and Sp for field condition in Pakistan

AB - This study aimed to address concerns about varied test accuracy for diagnosing bovine brucellosis in the field by estimating the sensitivity (Se) and specificity (Sp) of three commonly used serological tests in naturally-infected smallholder farms in Pakistan.Materials and methods: Between February and June 2015, a cross-sectional study was conducted in five districtsof Punjab and two districts of Sindh. Sera from cattle (n = 441) and buffalo (n = 621) were diagnosed using the Rose Bengal test (RBT), indirect ELISA (I-ELISA) and competitive ELISA (C-ELISA). A Bayesian latent class analysis was used to estimate the Se and Sp of these in the absence of a gold standard test. The model was fitted under the assumption of conditional independence between the three tests and also conditional dependence. In addition, the model was also fitted with three different prior information of beta distributions to incorporate the prior information from the published literature.Results: The test with the highest Se was the C-ELISA, with a range from 76.1 to 81.2%. The RBT was found to have the highest Sp (99.1 to 99.4%) of the tests. The results of present study identified discrepancies in Se ofthese tests with the published literature, especially for RBT which is usually thought of as a very highly sensitive test. Results echo anecdotal reports and show that RBT has lower Se and higher Sp when used in the fieldconditions of the current study. Therefore, we raise issues regarding the reliability of using RBT as a screening test in such conditions, as its use may result in false negative results.Conclusion: Consequently, we recommended that none of the evaluated tests should be performed in isolation in smallholder scenarios, with the use of RBT and C-ELISA in parallel combination producing optimum Se and Sp for field condition in Pakistan

KW - Brucellosis

KW - latent class analysis

KW - serological test

KW - Pakistan

M3 - Abstract

SP - 120

ER -

Arif S, Heller J, Hernandez-Jover M, McGill DM, Thomson PC. Evaluation of three serological tests for diagnosis of bovine brucellosis in Pakistan using Bayesian latent class analysis. 2018. Abstract from 15th International Symposium of Veterinary Epidemiology and Economics
, Thailand.