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Diagnostic performance of RT-PCR-based sample pooling strategy for the detection of SARS-CoV-2
BACKGROUND: The rapid spread of SARS-CoV-2 has created a shortage of supplies of reagents for its detection throughout the world, especially in Latin America. The pooling of samples consists of combining individual patient samples in a block and analyzing the group as a particular sample. This strat...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8919688/ https://www.ncbi.nlm.nih.gov/pubmed/35287682 http://dx.doi.org/10.1186/s12941-022-00501-x |
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author | Hueda-Zavaleta, Miguel Copaja-Corzo, Cesar Benites-Zapata, Vicente A. Cardenas-Rueda, Pedro Maguiña, Jorge L. Rodríguez-Morales, Alfonso J. |
author_facet | Hueda-Zavaleta, Miguel Copaja-Corzo, Cesar Benites-Zapata, Vicente A. Cardenas-Rueda, Pedro Maguiña, Jorge L. Rodríguez-Morales, Alfonso J. |
author_sort | Hueda-Zavaleta, Miguel |
collection | PubMed |
description | BACKGROUND: The rapid spread of SARS-CoV-2 has created a shortage of supplies of reagents for its detection throughout the world, especially in Latin America. The pooling of samples consists of combining individual patient samples in a block and analyzing the group as a particular sample. This strategy has been shown to reduce the burden of laboratory material and logistical resources by up to 80%. Therefore, we aimed to evaluate the diagnostic performance of the pool of samples analyzed by RT-PCR to detect SARS-CoV-2. METHODS: A cross-sectional study of diagnostic tests was carried out. We individually evaluated 420 samples, and 42 clusters were formed, each one with ten samples. These clusters could contain 0, 1 or 2 positive samples to simulate a positivity of 0, 10 and 20%, respectively. RT-PCR analyzed the groups for the detection of SARS-CoV-2. The area under the ROC curve (AUC), the Youden index, the global and subgroup sensitivity and specificity were calculated according to their Ct values that were classified as high (H: ≤ 25), moderate (M: 26–30) and low (L: 31–35) concentration of viral RNA. RESULTS: From a total of 42 pools, 41 (97.6%) obtained the same result as the samples they contained (positive or negative). The AUC for pooling, Youden index, sensitivity, and specificity were 0.98 (95% CI, 0.95–1); 0.97 (95% CI, 0.90–1.03); 96.67% (95% CI; 88.58–100%) and 100% (95% CI; 95.83–100%) respectively. In the stratified analysis of the pools containing samples with Ct ≤ 25, the sensitivity was 100% (95% CI; 90–100%), while with the pools containing samples with Ct ≥ 31, the sensitivity was 80% (95% CI, 34.94–100%). Finally, a higher median was observed in the Ct of the clusters, with respect to the individual samples (p < 0.001). CONCLUSIONS: The strategy of pooling nasopharyngeal swab samples for analysis by SARS-CoV-2 RT-PCR showed high diagnostic performance. |
format | Online Article Text |
id | pubmed-8919688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89196882022-03-14 Diagnostic performance of RT-PCR-based sample pooling strategy for the detection of SARS-CoV-2 Hueda-Zavaleta, Miguel Copaja-Corzo, Cesar Benites-Zapata, Vicente A. Cardenas-Rueda, Pedro Maguiña, Jorge L. Rodríguez-Morales, Alfonso J. Ann Clin Microbiol Antimicrob Research BACKGROUND: The rapid spread of SARS-CoV-2 has created a shortage of supplies of reagents for its detection throughout the world, especially in Latin America. The pooling of samples consists of combining individual patient samples in a block and analyzing the group as a particular sample. This strategy has been shown to reduce the burden of laboratory material and logistical resources by up to 80%. Therefore, we aimed to evaluate the diagnostic performance of the pool of samples analyzed by RT-PCR to detect SARS-CoV-2. METHODS: A cross-sectional study of diagnostic tests was carried out. We individually evaluated 420 samples, and 42 clusters were formed, each one with ten samples. These clusters could contain 0, 1 or 2 positive samples to simulate a positivity of 0, 10 and 20%, respectively. RT-PCR analyzed the groups for the detection of SARS-CoV-2. The area under the ROC curve (AUC), the Youden index, the global and subgroup sensitivity and specificity were calculated according to their Ct values that were classified as high (H: ≤ 25), moderate (M: 26–30) and low (L: 31–35) concentration of viral RNA. RESULTS: From a total of 42 pools, 41 (97.6%) obtained the same result as the samples they contained (positive or negative). The AUC for pooling, Youden index, sensitivity, and specificity were 0.98 (95% CI, 0.95–1); 0.97 (95% CI, 0.90–1.03); 96.67% (95% CI; 88.58–100%) and 100% (95% CI; 95.83–100%) respectively. In the stratified analysis of the pools containing samples with Ct ≤ 25, the sensitivity was 100% (95% CI; 90–100%), while with the pools containing samples with Ct ≥ 31, the sensitivity was 80% (95% CI, 34.94–100%). Finally, a higher median was observed in the Ct of the clusters, with respect to the individual samples (p < 0.001). CONCLUSIONS: The strategy of pooling nasopharyngeal swab samples for analysis by SARS-CoV-2 RT-PCR showed high diagnostic performance. BioMed Central 2022-03-14 /pmc/articles/PMC8919688/ /pubmed/35287682 http://dx.doi.org/10.1186/s12941-022-00501-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Hueda-Zavaleta, Miguel Copaja-Corzo, Cesar Benites-Zapata, Vicente A. Cardenas-Rueda, Pedro Maguiña, Jorge L. Rodríguez-Morales, Alfonso J. Diagnostic performance of RT-PCR-based sample pooling strategy for the detection of SARS-CoV-2 |
title | Diagnostic performance of RT-PCR-based sample pooling strategy for the detection of SARS-CoV-2 |
title_full | Diagnostic performance of RT-PCR-based sample pooling strategy for the detection of SARS-CoV-2 |
title_fullStr | Diagnostic performance of RT-PCR-based sample pooling strategy for the detection of SARS-CoV-2 |
title_full_unstemmed | Diagnostic performance of RT-PCR-based sample pooling strategy for the detection of SARS-CoV-2 |
title_short | Diagnostic performance of RT-PCR-based sample pooling strategy for the detection of SARS-CoV-2 |
title_sort | diagnostic performance of rt-pcr-based sample pooling strategy for the detection of sars-cov-2 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8919688/ https://www.ncbi.nlm.nih.gov/pubmed/35287682 http://dx.doi.org/10.1186/s12941-022-00501-x |
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