The Dangers of Using Cq to Quantify Nucleic Acid in Biological Samples: A Lesson From COVID-19.


Journal

Clinical chemistry
ISSN: 1530-8561
Titre abrégé: Clin Chem
Pays: England
ID NLM: 9421549

Informations de publication

Date de publication:
30 12 2021
Historique:
received: 25 06 2021
accepted: 20 09 2021
pubmed: 12 10 2021
medline: 3 2 2022
entrez: 11 10 2021
Statut: ppublish

Résumé

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA quantities, measured by reverse transcription quantitative PCR (RT-qPCR), have been proposed to stratify clinical risk or determine analytical performance targets. We investigated reproducibility and how setting diagnostic cutoffs altered the clinical sensitivity of coronavirus disease 2019 (COVID-19) testing. Quantitative SARS-CoV-2 RNA distributions [quantification cycle (Cq) and copies/mL] from more than 6000 patients from 3 clinical laboratories in United Kingdom, Belgium, and the Republic of Korea were analyzed. Impact of Cq cutoffs on clinical sensitivity was assessed. The June/July 2020 INSTAND external quality assessment scheme SARS-CoV-2 materials were used to estimate laboratory reported copies/mL and to estimate the variation in copies/mL for a given Cq. When the WHO-suggested Cq cutoff of 25 was applied, the clinical sensitivity dropped to about 16%. Clinical sensitivity also dropped to about 27% when a simulated limit of detection of 106 copies/mL was applied. The interlaboratory variation for a given Cq value was >1000 fold in copies/mL (99% CI). While RT-qPCR has been instrumental in the response to COVID-19, we recommend Cq (cycle threshold or crossing point) values not be used to set clinical cutoffs or diagnostic performance targets due to poor interlaboratory reproducibility; calibrated copy-based units (used elsewhere in virology) offer more reproducible alternatives. We also report a phenomenon where diagnostic performance may change relative to the effective reproduction number. Our findings indicate that the disparities between patient populations across time are an important consideration when evaluating or deploying diagnostic tests. This is especially relevant to the emergency situation of an evolving pandemic.

Sections du résumé

BACKGROUND
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA quantities, measured by reverse transcription quantitative PCR (RT-qPCR), have been proposed to stratify clinical risk or determine analytical performance targets. We investigated reproducibility and how setting diagnostic cutoffs altered the clinical sensitivity of coronavirus disease 2019 (COVID-19) testing.
METHODS
Quantitative SARS-CoV-2 RNA distributions [quantification cycle (Cq) and copies/mL] from more than 6000 patients from 3 clinical laboratories in United Kingdom, Belgium, and the Republic of Korea were analyzed. Impact of Cq cutoffs on clinical sensitivity was assessed. The June/July 2020 INSTAND external quality assessment scheme SARS-CoV-2 materials were used to estimate laboratory reported copies/mL and to estimate the variation in copies/mL for a given Cq.
RESULTS
When the WHO-suggested Cq cutoff of 25 was applied, the clinical sensitivity dropped to about 16%. Clinical sensitivity also dropped to about 27% when a simulated limit of detection of 106 copies/mL was applied. The interlaboratory variation for a given Cq value was >1000 fold in copies/mL (99% CI).
CONCLUSION
While RT-qPCR has been instrumental in the response to COVID-19, we recommend Cq (cycle threshold or crossing point) values not be used to set clinical cutoffs or diagnostic performance targets due to poor interlaboratory reproducibility; calibrated copy-based units (used elsewhere in virology) offer more reproducible alternatives. We also report a phenomenon where diagnostic performance may change relative to the effective reproduction number. Our findings indicate that the disparities between patient populations across time are an important consideration when evaluating or deploying diagnostic tests. This is especially relevant to the emergency situation of an evolving pandemic.

Identifiants

pubmed: 34633030
pii: 6385233
doi: 10.1093/clinchem/hvab219
doi:

Substances chimiques

Nucleic Acids 0
RNA, Viral 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

153-162

Subventions

Organisme : Medical Research Council
ID : MR/N007328/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/T028998/1
Pays : United Kingdom
Organisme : University of Surrey
Organisme : UK Government Department for Business, Energy & Industrial Strategy (BEIS)

Commentaires et corrections

Type : CommentIn

Informations de copyright

© American Association for Clinical Chemistry 2021.

Auteurs

Daniel Evans (D)

National Measurement Laboratory, LGC, Teddington, Middlesex, UK.
Department of Microbial Sciences, School of Biosciences & Medicine, Faculty of Health & Medical Science, University of Surrey, Guildford, UK.

Simon Cowen (S)

National Measurement Laboratory, LGC, Teddington, Middlesex, UK.

Martin Kammel (M)

Gesellschaft zur Foerderung der Qualitaetssicherung in Medizinischen Laboratorien e. V. (INSTAND), Düsseldorf, Germany.
IQVD GmbH, Institut fuer Qualitaetssicherung in der Virusdiagnostik, Berlin, Germany.

Denise M O'Sullivan (DM)

National Measurement Laboratory, LGC, Teddington, Middlesex, UK.

Graham Stewart (G)

Department of Microbial Sciences, School of Biosciences & Medicine, Faculty of Health & Medical Science, University of Surrey, Guildford, UK.

Hans-Peter Grunert (HP)

GBD Gesellschaft fuer Biotechnologische Diagnostik mbH, Berlin, Germany.

Jacob Moran-Gilad (J)

Health Policy and Management, School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel.

Jasper Verwilt (J)

Department of Biomolecular Medicine, Ghent University, Ghent, Belgium.

Jiwon In (J)

Seoul Medical Center, Seoul, Republic of Korea.

Jo Vandesompele (J)

Department of Biomolecular Medicine, Ghent University, Ghent, Belgium.
Biogazelle, Zwijnaarde, Belgium.

Kathryn Harris (K)

Department of Virology, NHS East and South East London Pathology Partnership, Royal London Hospital, Barts Health NHS Trust, London, UK.

Ki Ho Hong (KH)

Department of Laboratory Medicine, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.

Nathaniel Storey (N)

Department of Microbiology, Virology and Infection Prevention and Control, Level 4 Camelia Botnar Laboratories, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.

Suzie Hingley-Wilson (S)

Department of Microbial Sciences, School of Biosciences & Medicine, Faculty of Health & Medical Science, University of Surrey, Guildford, UK.

Ulf Dühring (U)

GBD Gesellschaft fuer Biotechnologische Diagnostik mbH, Berlin, Germany.

Young-Kyung Bae (YK)

Center for Bioanalysis, Korea Research Institute of Standards and Science, Daejeon, Republic of Korea.

Carole A Foy (CA)

National Measurement Laboratory, LGC, Teddington, Middlesex, UK.

Julian Braybrook (J)

National Measurement Laboratory, LGC, Teddington, Middlesex, UK.

Heinz Zeichhardt (H)

Gesellschaft zur Foerderung der Qualitaetssicherung in Medizinischen Laboratorien e. V. (INSTAND), Düsseldorf, Germany.
IQVD GmbH, Institut fuer Qualitaetssicherung in der Virusdiagnostik, Berlin, Germany.
GBD Gesellschaft fuer Biotechnologische Diagnostik mbH, Berlin, Germany.

Jim F Huggett (JF)

National Measurement Laboratory, LGC, Teddington, Middlesex, UK.
Department of Microbial Sciences, School of Biosciences & Medicine, Faculty of Health & Medical Science, University of Surrey, Guildford, UK.

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