Accès ouvert

Combination of Antibody based rapid diagnostic tests used in an algorithm may improve their performance in SARS CoV-2 diagnosis

Article scientifique 2020 Anglais

Résumé

Abstract Background Globally response to the SARS-CoV-2 pandemic is highly limited by diagnostic methods. Currently, World Health Organization (WHO) recommends the use of molecular assays for confirmation of SARS-CoV-2 infection which are highly expensive and require specialized laboratory equipment. This is a limitation in mass testing and in low resource settings. SARS CoV-2 IgG/IgM antibody tests have had poor diagnostic performance that do not guarantee their use in diagnostics. In this study we demonstrate a concept of using a combination of RDTs in an algorithm to improve their performance for diagnostics. Method Eighty six (86) EDTA whole blood samples were collected from SARS-CoV-2 positive cases admitted at Masaka and Mbarara Regional Referral Hospitals in Uganda. These were categorized from day when confirmed positive as follows; category A (0-3 days, 10 samples), category B (4-7 days, 20 samples), Category C (8-17 days, 11 samples) and Category D (18-28 days, 20 samples). Plasma was prepared, transported to the testing laboratory and stored at −20 0 C prior to testing. A total of 13 RDTS were tested following manufacturer’s instructions. Data was entered in Microsoft Excel exported to STATA for computation of sensitivity and specificity. We computed for all possible combinations of 2 of the 13 RDTS (13C 2) that were evaluated in parallel algorithm. Results The individual sensitives of the RDTs ranged between 74% and 18% and there was a general increasing trend across the categories with days since PCR confirmation. A total of 78 possible combinations of the RDTs to be used in parallel was computated. The combinations of the 2 RDTS improved the sensitivities to 90%. Discussion We demonstrate that use of RDTs in combinations can improve their overall sensitivity. This approach when used on a wider range of combination of RDTs may yield combinations that can give sensitivities that are of diagnostics relevance in mass testing and low resource setting.

Citer ce document

Kushemererwa, G., Kayongo, I., Semanda, P., Nansumba, H., Tadeo, I., Namulindwa, C., Nyegenye, W., Kiyaga, C., Ogwok, P., Ndidde, S., Ssewanyana, I. (2020). Combination of Antibody based rapid diagnostic tests used in an algorithm may improve their performance in SARS CoV-2 diagnosis. https://doi.org/10.1101/2020.06.26.20140806

Accès au document

Ce lien n'est plus accessible actuellement. Contactez l'institution d'origine.

Auteur(s)

Grace Esther Kushemererwa Ismail Kayongo Patrick Semanda Hellen Nansumba Iga Tadeo Christine Namulindwa Wilson Nyegenye Charles Kiyaga Patrick Ogwok Susan Ndidde Isaac Ssewanyana

Statistiques

Consultations : 1

Téléchargements : 0