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SARS-CoV-2 detection in multi-sample pools in a real pandemic scenario: A screening strategy of choice for active surveillance.
Castellaro, Andrés Marcos; Velez, Pablo; Giaj Merlera, Guillermo; Rondan Dueñas, Juan; Condat, Felix; Gallardo, Jesica; Makhoul, Aylen; Cinalli, Camila; Rosales Cavaglieri, Lorenzo; Di Cola, Guadalupe; Sicilia, Paola; López, Laura; Bocco, José Luis; Barbás, María Gabriela; Cardozo, Diego Hernán; Pisano, María Belén; Ré, Viviana; Belaus, Andrea; Castro, Gonzalo.
Affiliation
  • Castellaro AM; Departamento de Bioquímica Clínica, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, Argentina.
  • Velez P; Centro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI), CONICET, Universidad Nacional de Córdoba, Córdoba, Argentina.
  • Giaj Merlera G; Unidad de Biología Molecular, Centro de Excelencia en Productos y Procesos de Córdoba (CEPROCOR), Córdoba, Argentina.
  • Rondan Dueñas J; Unidad de Biología Molecular, Centro de Excelencia en Productos y Procesos de Córdoba (CEPROCOR), Córdoba, Argentina.
  • Condat F; Unidad de Biología Molecular, Centro de Excelencia en Productos y Procesos de Córdoba (CEPROCOR), Córdoba, Argentina.
  • Gallardo J; Unidad de Biología Molecular, Centro de Excelencia en Productos y Procesos de Córdoba (CEPROCOR), Córdoba, Argentina.
  • Makhoul A; Unidad de Biología Molecular, Centro de Excelencia en Productos y Procesos de Córdoba (CEPROCOR), Córdoba, Argentina.
  • Cinalli C; Unidad de Biología Molecular, Centro de Excelencia en Productos y Procesos de Córdoba (CEPROCOR), Córdoba, Argentina.
  • Rosales Cavaglieri L; Unidad de Biología Molecular, Centro de Excelencia en Productos y Procesos de Córdoba (CEPROCOR), Córdoba, Argentina.
  • Di Cola G; Unidad de Biología Molecular, Centro de Excelencia en Productos y Procesos de Córdoba (CEPROCOR), Córdoba, Argentina.
  • Sicilia P; Instituto de Virología "Doctor José María Vanella", Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, Argentina.
  • López L; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Córdoba, Argentina.
  • Bocco JL; Dirección de Epidemiología, Ministerio de Salud de la Provincia de Córdoba, Córdoba, Argentina.
  • Cardozo DH; Departamento de Bioquímica Clínica, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, Argentina.
  • Pisano MB; Centro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI), CONICET, Universidad Nacional de Córdoba, Córdoba, Argentina.
  • Ré V; Secretaría de Prevención y Promoción de la Salud, Ministerio de Salud de la Provincia de Córdoba, Córdoba, Argentina.
  • Belaus A; Secretaría de Prevención y Promoción de la Salud, Ministerio de Salud de la Provincia de Córdoba, Córdoba, Argentina.
  • Castro G; Instituto de Virología "Doctor José María Vanella", Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Córdoba, Argentina.
PLoS One ; 17(4): e0266408, 2022.
Article in En | MEDLINE | ID: mdl-35363805
BACKGROUND: The current COVID-19 pandemic has overloaded the diagnostic capacity of laboratories by the gold standard method rRT-PCR. This disease has a high spread rate and almost a quarter of infected individuals never develop symptoms. In this scenario, active surveillance is crucial to stop the virus propagation. METHODS: Between July 2020 and April 2021, 11,580 oropharyngeal swab samples collected in closed and semi-closed institutions were processed for SARS-CoV-2 detection in pools, implementing this strategy for the first time in Córdoba, Argentina. Five-sample pools were constituted before nucleic acid extraction and amplification by rRT-PCR. Comparative analysis of cycle threshold (Ct) values from positive pools and individual samples along with a cost-benefit report of the whole performance of the results was performed. RESULTS: From 2,314 5-sample pools tested, 158 were classified as positive (6.8%), 2,024 as negative (87.5%), and 132 were categorized as indeterminate (5.7%). The Ct value shift due to sample dilution showed an increase in Ct of 2.6±1.53 cycles for N gene and 2.6±1.78 for ORF1ab gene. Overall, 290 pools were disassembled and 1,450 swabs were analyzed individually. This strategy allowed correctly identifying 99.8% of the samples as positive (7.6%) or negative (92.2%), avoiding the execution of 7,806 rRT-PCR reactions which represents a cost saving of 67.5%. CONCLUSION: This study demonstrates the feasibility of pooling samples to increase the number of tests performed, helping to maximize molecular diagnostic resources and reducing the work overload of specialized personnel during active surveillance of the COVID-19 pandemic.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2022 Document type: Article Affiliation country: Argentina Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2022 Document type: Article Affiliation country: Argentina Country of publication: United States