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Enregistrement W3098305151 · doi:10.1016/j.ijid.2020.11.138

SARS-CoV-2 sensitivity limbo – How low can we go?

2020· article· en· W3098305151 sur OpenAlexaffabout
Glenn Patriquin, Jason J. LeBlanc

Notice bibliographique

RevueInternational Journal of Infectious Diseases · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueSARS-CoV-2 detection and testing
Établissements canadiensDalhousie UniversityNova Scotia Health Authority
Organismes subventionnairesnon disponible
Mots-clésMedicinePoint-of-care testingDiagnostic testFood and drug administrationMedical emergencyContext (archaeology)Gold standard (test)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Intensive care medicinePandemicPoint of careCoronavirus disease 2019 (COVID-19)VirologyInfectious disease (medical specialty)DiseaseEmergency medicinePathologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

•SARS-CoV-2 rapid diagnostic tests are less sensitive than traditional RT-PCR assays.•SARS-CoV-2 rapid diagnostic tests may play a role in specific circumstances.•The context in which SARS-CoV-2 rapid diagnostic tests are utilized effectively requires critical thinking and further data. Since the beginning of the pandemic, molecular methods such as real-time RT-PCR have been used as references for severe acute respiratory syndrome (SARS-CoV-2) detection. With unprecedented demands for SARS-CoV-2 testing, and difficulties acquiring NAAT supplies, clinical laboratories are challenged with providing timely results. Rapid diagnostic tests (RDTs) are simple, rapid, and portable technologies that offer a potential solution to increase the diagnostic testing capacity. Recently, some RDTs have become licensed under emergency use authorization for SARS-CoV-2 detection in the laboratory or point-of-care settings (Food and Drug Administration (FDA), 2020Food and Drug Administration (FDA) In vitro diagnostic EUAs.2020https://www.fda.gov/medical-devices/coronavirus-disease-2019-covid-19-emergency-use-authorizations-medical-devices/vitro-diagnostics-euasGoogle Scholar), but despite their high specificity, the applicability of RDTs has been hampered by poor clinical sensitivity, which often falls below the ideal target product profiles recommended by the World Health Organization (Dinnes et al., 2020Dinnes J. Deeks J.J. Adriano A. Berhane S. Davenport C. Dittrich S. et al.Rapid, point-of-care antigen and molecular-based tests for diagnosis of SARS-CoV-2 infection.Cochrane Database Syst Rev. 2020; 8 (Aug 26. PMID: 32845525)CD013705https://doi.org/10.1002/14651858.CD013705Crossref PubMed Scopus (543) Google Scholar, World Health Organization (WHO), 2020aWorld Health Organization (WHO) Antigen-detection in the diagnosis of SARS-CoV-2 infection using rapid immunoassays. Interim guidance. 11 September.2020https://www.who.int/publications/i/item/antigen-detection-in-the-diagnosis-of-sars-cov-2infection-using-rapid-immunoassaysGoogle Scholar, World Health Organization (WHO), 2020bWorld Health Organization (WHO) COVID-19 Target product profiles for priority diagnostics to support response to the COVID-19 pandemic v.1.0. 29 September.2020Google Scholar). In a recent systematic review and meta-analysis (Dinnes et al., 2020Dinnes J. Deeks J.J. Adriano A. Berhane S. Davenport C. Dittrich S. et al.Rapid, point-of-care antigen and molecular-based tests for diagnosis of SARS-CoV-2 infection.Cochrane Database Syst Rev. 2020; 8 (Aug 26. PMID: 32845525)CD013705https://doi.org/10.1002/14651858.CD013705Crossref PubMed Scopus (543) Google Scholar), the average pooled sensitivity of antigen-based RDTs was 56%, and values as low as 11.7% have been reported (Nagura-Ikeda et al., 2020Nagura-Ikeda M. Imai K. Tabata S. Miyoshi K. Murahara N. Mizuno T. et al.Clinical Evaluation of Self-Collected Saliva by Quantitative Reverse Transcription-PCR (RT-qPCR), Direct RT-qPCR, Reverse Transcription-Loop-Mediated Isothermal Amplification, and a Rapid Antigen Test To Diagnose COVID-19.J Clin Microbiol. 2020; 58 (Aug 24PMID: 32636214; PMCID: PMC7448663): e01438-20https://doi.org/10.1128/JCM.01438-20Crossref PubMed Scopus (253) Google Scholar). In contrast, a recent study in this journal by Porte et al., 2020Porte L. Legarraga P. Vollrath V. Aguilera X. Munita J.M. Araos R. et al.Evaluation of a novel antigen-based rapid detection test for the diagnosis of SARS-CoV-2 in respiratory samples.Int J Infect Dis. 2020; 99 (Oct Epub 2020 Jun 1. PMID: 32497809; PMCID: PMC7263236): 328-333https://doi.org/10.1016/j.ijid.2020.05.098Abstract Full Text Full Text PDF PubMed Scopus (239) Google Scholar described high clinical sensitivity of an antigen-based RDT at 93.9%. Given the wide variability in RDT sensitivity, careful consideration is needed on the generalizability and applicability of these findings. Traditionally, SARS-CoV-2 detection methods strive to achieve the highest sensitivity possible (LeBlanc et al., 2020LeBlanc J.J. Gubbay J.B. Li Y. Needle R. Arneson S.R. Marcino D. et al.COVID-19 Pandemic Diagnostics Investigation Team of the Canadian Public Health Laboratory Network (CPHLN) Respiratory Virus Working Group. Real-time PCR-based SARS-CoV-2 detection in Canadian laboratories.J Clin Virol. 2020; 128 (Jul Epub 2020 May 13. PMID: 32405254; PMCID: PMC7219382): 104433https://doi.org/10.1016/j.jcv.2020.104433Crossref PubMed Scopus (66) Google Scholar). From an individual diagnostic perspective, the decreased analytical sensitivity of RDTs (∼105 copies/mL vs. ∼103 copies/mL for NAATs) would likely only be relevant during a short period in the acute stage of illness, or late in disease (LeBlanc et al., 2020LeBlanc J.J. Gubbay J.B. Li Y. Needle R. Arneson S.R. Marcino D. et al.COVID-19 Pandemic Diagnostics Investigation Team of the Canadian Public Health Laboratory Network (CPHLN) Respiratory Virus Working Group. Real-time PCR-based SARS-CoV-2 detection in Canadian laboratories.J Clin Virol. 2020; 128 (Jul Epub 2020 May 13. PMID: 32405254; PMCID: PMC7219382): 104433https://doi.org/10.1016/j.jcv.2020.104433Crossref PubMed Scopus (66) Google Scholar, Wölfel et al., 2020Wölfel R. Corman V.M. Guggemos W. Seilmaier M. Zange S. Müller M.A. et al.Virological assessment of hospitalized patients with COVID-2019.Nature. 2020; 581 (May Epub 2020 Apr 1. PMID: 32235945): 465-469https://doi.org/10.1038/s41586-020-2196-xCrossref PubMed Scopus (4463) Google Scholar, Mina et al., 2020Mina M.J. Parker R. Larremore D.B. Rethinking Covid-19 Test Sensitivity - A Strategy for Containment.N Engl J Med. 2020; (Sep 30, Epub ahead of print. PMID: 32997903)https://doi.org/10.1056/NEJMp2025631Crossref PubMed Scopus (449) Google Scholar, Larremore et al., 2020Larremore D.B. Wilder B. Lester E. Shehata S. Burke J.M. Hay J.A. Tambe M. Mina M.J. Parker R. Test sensitivity is secondary to frequency and turnaround time for COVID-19 surveillance.medRxiv [Preprint]. 2020; (PMID: 32607516; PMCID: PMC7325181. Jun 27:2020.06.22.20136309)https://doi.org/10.1101/2020.06.22.20136309Crossref Scopus (0) Google Scholar). As individuals with resolving viral loads are less likely to be infective [i.e., high cycle thresholds (Ct values) in real-time RT-PCR], this situation may adequately be served by an RDT (Wölfel et al., 2020Wölfel R. Corman V.M. Guggemos W. Seilmaier M. Zange S. Müller M.A. et al.Virological assessment of hospitalized patients with COVID-2019.Nature. 2020; 581 (May Epub 2020 Apr 1. PMID: 32235945): 465-469https://doi.org/10.1038/s41586-020-2196-xCrossref PubMed Scopus (4463) Google Scholar, Mina et al., 2020Mina M.J. Parker R. Larremore D.B. Rethinking Covid-19 Test Sensitivity - A Strategy for Containment.N Engl J Med. 2020; (Sep 30, Epub ahead of print. PMID: 32997903)https://doi.org/10.1056/NEJMp2025631Crossref PubMed Scopus (449) Google Scholar, Larremore et al., 2020Larremore D.B. Wilder B. Lester E. Shehata S. Burke J.M. Hay J.A. Tambe M. Mina M.J. Parker R. Test sensitivity is secondary to frequency and turnaround time for COVID-19 surveillance.medRxiv [Preprint]. 2020; (PMID: 32607516; PMCID: PMC7325181. Jun 27:2020.06.22.20136309)https://doi.org/10.1101/2020.06.22.20136309Crossref Scopus (0) Google Scholar). However, on a population level, the identification of individuals with early or late disease would allow for more complete contact tracing and potentially lead to more case finding and interventions. In recent publications, an alternative strategy has been proposed that might overcome the poor sensitivity of RDTs by repeat testing of target populations over time, thereby increasing the probability of capturing individuals who fall into a period of high viral shedding (Mina et al., 2020Mina M.J. Parker R. Larremore D.B. Rethinking Covid-19 Test Sensitivity - A Strategy for Containment.N Engl J Med. 2020; (Sep 30, Epub ahead of print. PMID: 32997903)https://doi.org/10.1056/NEJMp2025631Crossref PubMed Scopus (449) Google Scholar, Larremore et al., 2020Larremore D.B. Wilder B. Lester E. Shehata S. Burke J.M. Hay J.A. Tambe M. Mina M.J. Parker R. Test sensitivity is secondary to frequency and turnaround time for COVID-19 surveillance.medRxiv [Preprint]. 2020; (PMID: 32607516; PMCID: PMC7325181. Jun 27:2020.06.22.20136309)https://doi.org/10.1101/2020.06.22.20136309Crossref Scopus (0) Google Scholar). To date, the feasibility of repeat testing using RDTs has been hampered by limitations such as scalability (with low throughput devices), human and material resource requirements, and acceptability of repeat collections with the authorized specimen types (e.g., nasopharyngeal swabs). Regardless of the challenges of RDT implementation, thorough validation is required with consideration for factors that are method-, virus-, host-, and context-dependent. With the above considerations in mind, key parameters that remain to be defined for repeat testing using RDTs is the minimal acceptable value for sensitivity, the optimal testing frequency in target populations, and for which population or setting RDTs would be of best benefit. If the goal is case-finding and containment, the sensitivity of an assay would logically influence the testing frequency, and ideally, should be targeted to ensure the maximal and accurate detection of SARS-CoV-2 in the target population. However, if capacity or resource limitations defines a certain testing frequency, high sensitivity becomes increasingly relevant. As these parameters have yet to be defined for RDTs, we find ourselves in a “sensitivity limbo,” asking not only “how low can we go?” for accurate SARS-CoV-2 detection, but also “how low should we go?” The authors declare that they have no conflicts of interest related to this manuscript. There was no funding for this manuscript.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,096
Score d'incertitude au seuil0,635

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,030
Tête enseignante GPT0,301
Écart entre enseignants0,271 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations13
Publié2020
Routes d'admission2
Résumé présentoui

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