Sample Adequacy Control (SAC) Lowers False Negatives and Increases the Quality of Screening: Introduction of "Non-Competitive" SAC for qPCR Assays.

assay clinical control false negative infection control pandemic qPCR sampling screening test

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
22 Jun 2021
Historique:
received: 30 05 2021
revised: 15 06 2021
accepted: 20 06 2021
entrez: 2 7 2021
pubmed: 3 7 2021
medline: 3 7 2021
Statut: epublish

Résumé

Sample Adequacy Control (SAC) has critical analytical, clinical and epidemiological value that increases confidence in a negative test result. The SAC is an integral qPCR assay control, which ensures that all pre-analytical and analytical steps are adequate for accurate testing and reporting. As such, a negative SAC with a negative result on pathogen screen specifies that the result should be reported as inconclusive instead of negative. Despite this, many regulatory approved tests do not incorporate SAC into their assay design. Herein, we emphasize the universal value of SAC and offer for the first time, a simple technical strategy to introduce non-competitive SAC which does not interfere with the limit of detection for the screened pathogen. Integration of SAC can provide key benefits towards identifying, isolating, quarantining and contact tracing infected individuals and in turn can improve worldwide efforts in infection control.

Identifiants

pubmed: 34206413
pii: diagnostics11071133
doi: 10.3390/diagnostics11071133
pmc: PMC8305439
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Ivan Brukner (I)

Lady Davis Institute for Medical Research, Montréal, QC H3T 1E2, Canada.
Faculty of Medicine, McGill University, Montreal, QC H3A 0G4, Canada.

Alex Resendes (A)

Lady Davis Institute for Medical Research, Montréal, QC H3T 1E2, Canada.

Shaun Eintracht (S)

Faculty of Medicine, McGill University, Montreal, QC H3A 0G4, Canada.

Andreas I Papadakis (AI)

Lady Davis Institute for Medical Research, Montréal, QC H3T 1E2, Canada.

Matthew Oughton (M)

Faculty of Medicine, McGill University, Montreal, QC H3A 0G4, Canada.

Classifications MeSH