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Retrospective Evaluation of the SD BIOLINE Dengue Duo Rapid Diagnostic Test During a Dengue Epidemic in Burkina Faso

Received: 8 April 2022    Accepted: 30 April 2022    Published: 3 May 2022
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Abstract

The SD Bioline Dengue Duo rapid diagnostic test is the primary means of diagnostic guidance for dengue and in many cases the only one in Burkina Faso. Our objective was to evaluate the performance of this test during the 2017 dengue epidemic. By analysing data from samples during the 2017 dengue epidemic in Burkina Faso for which both rapid test and Real Time Polymerase Chain Reaction and, or Immunoglobulin M capture by Enzyme Linked ImmunoSorbent Assay results were available, the rapid diagnostic test was compared to Real Time Polymerase Chain Reaction and, or Immunoglobulin M detection by Enzyme Linked ImmunoSorbent Assay. The sensitivity and specificity of the tests were calculated and their overall performance was evaluated by the area under the curve. Out of 706 suspected patients, 514 or 72.8% were confirmed by the reference techniques. The positivity rates were 69%, 19% and 26% respectively for NS1 antigen, Immunoglobulin M antibody and Immunoglobulin G antibody. The rapid diagnostic test had a very good sensitivity of 99% for a specificity of 5%. The detection of NS1 antigen by rapid diagnostic test showed the best compromise, with an area under the curve of 0.7. Considering only the results of the NS1 Antigen, the rapid diagnostic test could be a viable solution for the management of dengue epidemics in health centers without a laboratory.

Published in Central African Journal of Public Health (Volume 8, Issue 2)
DOI 10.11648/j.cajph.20220802.20
Page(s) 87-90
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Dengue, Serology, PCR, Antigens, Outbreak

References
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[2] World Health Organization. Emergency preparedness and response. Dengue. [online]. Available from: https://www.who.int/csr/don/archive/disease/dengue_fever/fr/. Consulté le 15 Mars 2021.
[3] Ministère de la Santé. Plan stratégique de lutte contre les maladies tropicales négligées 2016-2020 Burkina Faso. [Online]. Available from: https://espen.afro.who.int/system/files/content/resources/BURKINA_FASO_NTD_Master_Plan_2016_2020.pdf. Accessed 20/08/2021.
[4] Ministère de la Santé. Guide de diagnostic et de traitement de la dengue au Burkina Faso; Aout 2017.
[5] Yougbaré F, Soubeiga ST, Djigma FW, Ouattara AK, Compaoré TR, Nikiema M et al. Diagnostic biologique différentiel entre le paludisme et la dengue chez des patients fébriles à Ouagadougou au Burkina Faso dans un contexte d’endémie des deux maladies; Science et technique, Sciences de la santé 2019; 42 (2).
[6] Diallo I, Sondo KA, Tieno H, Tamelokpo EY, Zoungrana J, Sagna Y et al. À propos de 98 cas de dengue hospitalisés dans une clinique privée de Ouagadougou: aspects épidémiologiques, diagnostiques et évolutifs. Bull. Soc. Pathol. Exot 2017; 110: 291-296.
[7] R Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available from: https://www.R-project.org/. Consulté le 20 Aout 2021.
[8] Mark Stevenson and Evan Sergeant. epiR: Tools for the Analysis of Epidemiological Data. Available from: https://cran.r-project.org/web/packages/epiR. Accessed 20 /08/2021.
[9] Sing T, Sander O, Niko B, Thomas L, Thomas U, Felix GME. ROCR: Visualizing the Performance of Scoring Classifiers. Available from: https://cran.r-project.org/web/packages/ROCR. Consulté le 20 Aout 2021.
[10] Shivankari K, Anira NF, Rashmi T, Rashika T, Jeroen DM, Dammika S et al. Evaluation of a commercial rapid test kit for detection of acute dengue infection. Southeast Asian J Trop Med Public Health. 2015; 46 (4): 602-10.
[11] Zékiba Tarnagda, Assana Cissé, Brice Wilfried Bicaba, Serge Diagbouga, Tani Sagna, Abdoul Kader Ilboudo et al. Dengue Fever in Burkina Faso, 2016. Emerg Infect Dis. 2018; 24 (1): 170-2.
[12] Najioullah F, Viron F, Paturel L, Césaire R. Diagnostic biologique de la dengue. Virologie 2012; 16 (1): 18-13.
[13] Mussoa D, Cao-Lormeaub VM. Diagnostic biologique de la dengue. Revu Francophone des Laboratoires. 2012; 447: 53-9.
[14] Lim JK, Carabali M, Edwards T, Barro A, Lee J-S, Dahourou D, et al. Estimating the Force of Infection for Dengue Virus Using Repeated Serosurveys, Ouagadougou, Burkina Faso. Emerg Infect Dis 2021; 27: 130-9.
[15] Sawadogo S, Baguiya A, Yougbare F, Bicaba BW, Nebie K, Millogo T, et al. Seroprevalence and factors associated with IgG anti-DENV positivity in blood donors in Burkina Faso during the 2016 dengue outbreak and implications for blood supply. Transfus Med 2020; 30: 37-45.
[16] Ouangre A, Sangare I, Bado ND, Bamba S. Prevalence of dengue and malaria in febrile patients at the Souro Sanou University Hospital in Bobo-Dioulasso. [Online]. https://bec.uac.bj/uploads/publication/55ddf9570c905b55c0e9216d9f808d3c.pdf. Accessed 20 /08/2021.
[17] Ouattara AK, Nadembega C, Diarra B, Zohoncon T, Yonli A, Obiri-yeboah D et al. Serological diagnosis in suspected dengue cases at Saint Camille hospital of Ouagadougou: high prevalence of infection among young adults aged 15 to 30 years 2017. [Online]. http://www.labiogene.org/IMG/pdf/ouattara_deng_2017.pdf. Accessed 20 /08/2021.
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    Cheick Ahmed Ouattara, Tiandiogo Isidore Traore, Bry Sylla, Seydou Traore, Ibrahim Sangare, et al. (2022). Retrospective Evaluation of the SD BIOLINE Dengue Duo Rapid Diagnostic Test During a Dengue Epidemic in Burkina Faso. Central African Journal of Public Health, 8(2), 87-90. https://doi.org/10.11648/j.cajph.20220802.20

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    ACS Style

    Cheick Ahmed Ouattara; Tiandiogo Isidore Traore; Bry Sylla; Seydou Traore; Ibrahim Sangare, et al. Retrospective Evaluation of the SD BIOLINE Dengue Duo Rapid Diagnostic Test During a Dengue Epidemic in Burkina Faso. Cent. Afr. J. Public Health 2022, 8(2), 87-90. doi: 10.11648/j.cajph.20220802.20

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    AMA Style

    Cheick Ahmed Ouattara, Tiandiogo Isidore Traore, Bry Sylla, Seydou Traore, Ibrahim Sangare, et al. Retrospective Evaluation of the SD BIOLINE Dengue Duo Rapid Diagnostic Test During a Dengue Epidemic in Burkina Faso. Cent Afr J Public Health. 2022;8(2):87-90. doi: 10.11648/j.cajph.20220802.20

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  • @article{10.11648/j.cajph.20220802.20,
      author = {Cheick Ahmed Ouattara and Tiandiogo Isidore Traore and Bry Sylla and Seydou Traore and Ibrahim Sangare and Clément Ziemlé Meda and Léon Blaise Geswendé Savadogo},
      title = {Retrospective Evaluation of the SD BIOLINE Dengue Duo Rapid Diagnostic Test During a Dengue Epidemic in Burkina Faso},
      journal = {Central African Journal of Public Health},
      volume = {8},
      number = {2},
      pages = {87-90},
      doi = {10.11648/j.cajph.20220802.20},
      url = {https://doi.org/10.11648/j.cajph.20220802.20},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cajph.20220802.20},
      abstract = {The SD Bioline Dengue Duo rapid diagnostic test is the primary means of diagnostic guidance for dengue and in many cases the only one in Burkina Faso. Our objective was to evaluate the performance of this test during the 2017 dengue epidemic. By analysing data from samples during the 2017 dengue epidemic in Burkina Faso for which both rapid test and Real Time Polymerase Chain Reaction and, or Immunoglobulin M capture by Enzyme Linked ImmunoSorbent Assay results were available, the rapid diagnostic test was compared to Real Time Polymerase Chain Reaction and, or Immunoglobulin M detection by Enzyme Linked ImmunoSorbent Assay. The sensitivity and specificity of the tests were calculated and their overall performance was evaluated by the area under the curve. Out of 706 suspected patients, 514 or 72.8% were confirmed by the reference techniques. The positivity rates were 69%, 19% and 26% respectively for NS1 antigen, Immunoglobulin M antibody and Immunoglobulin G antibody. The rapid diagnostic test had a very good sensitivity of 99% for a specificity of 5%. The detection of NS1 antigen by rapid diagnostic test showed the best compromise, with an area under the curve of 0.7. Considering only the results of the NS1 Antigen, the rapid diagnostic test could be a viable solution for the management of dengue epidemics in health centers without a laboratory.},
     year = {2022}
    }
    

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Author Information
  • Doctoral School of Health Sciences, Nazi Boni University, Bobo-Dioulasso, Burkina Faso

  • Higher Institute of Health Sciences, Nazi Boni University, Bobo-Dioulasso, Burkina Faso

  • Directorate of Health Information Systems, Ministry of Health, Bobo-Dioulasso, Burkina Faso

  • Depatment of Public Health, Souro Sanou University Hospital, Bobo-Dioulasso, Burkina Faso

  • Higher Institute of Health Sciences, Nazi Boni University, Bobo-Dioulasso, Burkina Faso

  • Higher Institute of Health Sciences, Nazi Boni University, Bobo-Dioulasso, Burkina Faso

  • Higher Institute of Health Sciences, Nazi Boni University, Bobo-Dioulasso, Burkina Faso

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