Testing of four-sample pools offers resource optimization without compromising diagnostic performance of real time reverse transcriptase-PCR assay for COVID-19.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2021
Historique:
received: 09 01 2021
accepted: 04 05 2021
entrez: 18 5 2021
pubmed: 19 5 2021
medline: 2 6 2021
Statut: epublish

Résumé

Quick identification and isolation of SARS-CoV-2 infected individuals is central to managing the COVID-19 pandemic. Real time reverse transcriptase PCR (rRT-PCR) is the gold standard for COVID-19 diagnosis. However, this resource-intensive and relatively lengthy technique is not ideally suited for mass testing. While pooled testing offers substantial savings in cost and time, the size of the optimum pool that offers complete concordance with results of individualized testing remains elusive. To determine the optimum pool size, we first evaluated the utility of pool testing using simulated 5-sample pools with varying proportions of positive and negative samples. We observed that 5-sample pool testing resulted in false negativity rate of 5% when the pools contained one positive sample. We then examined the diagnostic performance of 4-sample pools in the operational setting of a diagnostic laboratory using 500 consecutive samples in 125 pools. With background prevalence of 2.4%, this 4-sample pool testing showed 100% concordance with individualized testing and resulted in 66% and 59% reduction in resource and turnaround time, respectively. Since the negative predictive value of a diagnostic test varies inversely with prevalence, we re-tested the 4-sample pooling strategy using a fresh batch of 500 samples in 125 pools when the prevalence rose to 12.7% and recorded 100% concordance and reduction in cost and turnaround time by 36% and 30%, respectively. These observations led us to conclude that 4-sample pool testing offers the optimal blend of resource optimization and diagnostic performance across difference disease prevalence settings.

Identifiants

pubmed: 34003869
doi: 10.1371/journal.pone.0251891
pii: PONE-D-21-00825
pmc: PMC8130958
doi:

Substances chimiques

RNA, Viral 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0251891

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Anirudh K Singh (AK)

Department of Microbiology, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.

Ram Kumar Nema (RK)

Regional Virology Laboratory, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.

Ankur Joshi (A)

Department of Community and Family Medicine, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.

Prem Shankar (P)

Department of Microbiology, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.

Sudheer Gupta (S)

Regional Virology Laboratory, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.

Ashvini Kumar Yadav (AK)

Regional Virology Laboratory, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.

Shashwati Nema (S)

Department of Microbiology, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.

Bijina J Mathew (BJ)

Department of Microbiology, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.

Arti Shrivas (A)

Department of Microbiology, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.

Chitra Patankar (C)

Department of Microbiology, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.

Arun Raghuwanshi (A)

Regional Virology Laboratory, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.

Ritu Pandey (R)

Department of Biochemistry, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.

Ranu Tripathi (R)

Department of Pediatrics, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.

Kudsia Ansari (K)

Regional Virology Laboratory, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.

Kuldeep Singh (K)

Department of Microbiology, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.

Jogender Yadav (J)

Department of Microbiology, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.

Debasis Biswas (D)

Department of Microbiology, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.
Regional Virology Laboratory, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.

Sarman Singh (S)

Department of Microbiology, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India.

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Classifications MeSH