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Record W3024176187 · doi:10.1093/jac/dkaa171

Favipiravir, an antiviral for COVID-19?

2020· article· en· W3024176187 on OpenAlexaff
Eric A. Coomes, Hourmazd Haghbayan

Bibliographic record

VenueJournal of Antimicrobial Chemotherapy · 2020
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Clinical Research Studies
Canadian institutionsUniversité LavalWestern UniversityLondon Health Sciences CentreUniversity of Toronto
Fundersnot available
KeywordsFavipiravirCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)VirologyBetacoronavirusMedicinePandemicIntensive care medicinePharmacologyOutbreakInternal medicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Sir, A novel coronavirus, SARS-CoV-2, emerged in December 2019 in Wuhan, China, which is spreading far more rapidly than its predecessors, having already infected millions of patients worldwide as of 19 April 2020.1 As the scale of the ongoing COVID-19 outbreak has reached pandemic proportions, intensive worldwide public health efforts are underway to control the outbreak. However, as definitive therapies for established COVID-19 remain to be defined, significant interest exists in repurposing existing antiviral agents for use against COVID-19. Favipiravir triphosphate is a purine nucleoside analogue, which acts as a competitive inhibitor of RNA-dependent RNA polymerase.2 It has activity against influenza A and B, including activity against oseltamivir- and zanamivir-resistant influenza viruses, several agents of viral haemorrhagic fever and SARS-CoV-2 in vitro.2–4 Favipiravir is approved for novel epidemic influenza strains that are unresponsive to standard antiviral therapies in Japan. Favipiravir was identified to have activity in vitro against SARS-CoV-2, albeit requiring a high concentration compared with chloroquine or remdesivir (EC50 = 61.88 μM).3 Despite a similarly elevated EC50 identified for favipiravir and Ebola virus, it was identified in previous animal models to be highly effective as post-exposure prophylaxis for mice exposed to Ebola virus challenges, with rapid virological response preventing mortality.5,6 Based on the dosing strategies and pharmacokinetic data from human influenza trials, an intensified dosing strategy of 6000 mg loading on day 1 followed by maintenance therapy of 1200 mg orally twice daily for 10 days was employed in a single-arm clinical trial for Ebola virus disease in Guinea.7 In a retrospective analysis of 124 patients with Ebola virus disease in Sierra Leone, those treated with favipiravir had a significantly higher survival rate compared with patients receiving supportive management (56.4% versus 35.3%; P = 0.027).8 Patients received favipiravir 800 mg orally twice daily on day 1 and 600 mg orally twice daily on days 3–11. Viral loads were quantified for 35 patients twice during their hospitalization and were significantly reduced amongst patients receiving favipiravir. Favipiravir has also been used as pharmacological post-exposure prophylaxis for Ebola virus disease.9 In a case series of four healthcare workers with higher risk Ebola virus exposures, including two hollow-bore needlestick injuries, none of the patients who received 10 days of high-dose favipiravir developed Ebola virus disease. Early clinical experience with favipiravir for COVID-19 is promising. An open-label non-randomized trial of 80 patients with COVID-19 in China identified a significant reduction in the time to SARS-CoV-2 viral clearance in patients treated with favipiravir compared with historical controls treated with lopinavir/ritonavir.10 Patients with mild or moderate COVID-19 were enrolled within 7 days from disease onset; those ≥75 years old, with severe or critical disease, chronic liver disease or end-stage renal disease were excluded. Patients in the intervention arm received favipiravir 1600 mg orally twice daily on day 1 followed by 600 mg orally twice daily on days 2–14. Both arms were co-treated with inhaled IFN-α1b 60 μg twice daily and therapy was continued until viral clearance, up to a maximum of 14 days. Thirty-five patients were assigned to favipiravir and 45 patients to lopinavir/ritonavir, with a median age of 47 years (IQR = 35.8–61); 13.7% were ≥65 years old. There was a significant reduction in the median time to viral clearance with favipiravir (4 days; IQR = 2.5–9) compared with lopinavir/ritonavir (11 days; IQR = 8–13; P < 0.001). Further, by day 14, 91.4% of patients in the favipiravir arm had radiographic improvement versus 62.2% in the lopinavir/ritonavir arm. There was a significantly lower rate of adverse events in patients receiving favipiravir (11.4% versus 55.6%; P < 0.01). Given the demonstrated in vitro of activity of favipiravir against SARS-CoV-2 and signals of benefit in early clinical experience for COVID-19, further studies are urgently needed. The results of several ongoing randomized controlled trials to assess the efficacy of favipiravir for COVID-19 will further elucidate the role of favipiravir in the management of the ongoing coronavirus pandemic. No funding was obtained specifically for this article. E.A.C. is a co-investigator on applications to conduct a clinical trial of favipiravir for COVID-19. H.H.: none to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.090
GPT teacher head0.445
Teacher spread0.355 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations138
Published2020
Admission routes1
Has abstractyes

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