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Record W4200384155 · doi:10.1093/ofid/ofab466.701

502. Early COVID-19 Treatment with SARS-CoV-2 Neutralizing Antibody Sotrovimab

2021· article· en· W4200384155 on OpenAlexaff
Anil Kumar Gupta, Yaneicy Gonzalez Rojas, Erick Stanley Petersen Juárez, Manuel Crespo Casal, Jaynier Moya, Diego R. Falci, Elias Sarkis, Joel Solis, Hanzhe Zheng, Nicola Scott, Andrea L. Cathcart, Christy M. Hebner, Jennifer E. Sager, Erik Mogalian, Daren Austin, Amanda Peppercorn, Elizabeth Alexander, Wendy W. Yeh, Almena Free, Cynthia Brinson, Melissa Aldinger, Adrienne E. Shapiro

Bibliographic record

VenueOpen Forum Infectious Diseases · 2021
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsWilliam Osler Health System
Fundersnot available
KeywordsMedicinePlaceboClinical endpointInternal medicineInterim analysisCoronavirus disease 2019 (COVID-19)RandomizationClinical trialRelative riskDiseaseConfidence intervalPathologyInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Abstract Background COVID-19 disproportionately results in hospitalization and death in older patients and those with underlying comorbidities. Sotrovimab is a pan-sarbecovirus monoclonal antibody that binds a highly conserved epitope of the SARS-CoV-2 receptor binding domain and has an Fc modification that increases half-life. Sotrovimab retains activity against UK, S. Africa, Brazil, India, New York and California variants in vitro. Objectives To evaluate the efficacy and safety of treatment with sotrovimab in high-risk, non-hospitalized patients with mild/moderate COVID-19, as part of the COMET-ICE clinical trial. Methods Multicenter, double-blind, phase 3 trial in non-hospitalized patients with symptomatic COVID-19 and ≥1 risk factor for disease progression were randomized 1:1 to an IV infusion of sotrovimab 500 mg or placebo. The primary efficacy endpoint was the proportion of patients with COVID-19 progression, defined as hospitalization > 24 hours or death, due to any cause, ≤29 days of randomization. Results The study met the pre-defined primary efficacy endpoint in a preplanned interim analysis: the risk of COVID-19 progression was significantly reduced by 85% (97.24% CI, 44% to 96%; P = 0.002) in 583 patients. In the final intention-to-treat analysis (N = 1057), the adjusted relative risk reduction was 79% (95% CI, 50% to 91%; p< 0.001) through Day 29 in recipients of sotrovimab (n=528) vs. placebo (n=529). Treatment with sotrovimab (ITT) resulted in a numerical reduction in the need for ER visits for illness management, hospitalization for acute illness management (any duration) or death (any cause) compared to placebo. No participants on sotrovimab required ICU admission, compared to 9 participants on placebo, of whom 4 participants required mechanical ventilation. No participants who received sotrovimab died, compared to 4 participants on placebo. The incidence of adverse events was similar between treatment arms and SAEs were numerically more common in the placebo arm. Conclusion Treatment with sotrovimab 500 mg IV resulted in a clinically and statistically significant reduction in progression of COVID-19 to hospitalization or death in patients with mild/moderate disease and was well-tolerated. Study funding GSK & VIR; NCT04545060 Disclosures Jaynier Moya, MD, VIR Biotechnology (Other Financial or Material Support, Jaynier Moya received non-financial support for serving as a clinical trial investigator for Vir Biotechnology) Diego Rodrigues Falci, MD, MSc, PhD, Gilead Sciences (Grant/Research Support, Scientific Research Study Investigator, Speaker's Bureau)GSK (Grant/Research Support, Scientific Research Study Investigator, Advisor or Review Panel member)MSD (Speaker's Bureau)Pfizer (Speaker's Bureau)United Medical (Speaker's Bureau, Other Financial or Material Support) Joel Solis, MD, VIR Biotechnology (Other Financial or Material Support, Joel Solis received non-financial support for serving as a clinical trial investigator for Vir Biotechnology) Hanzhe Zheng, PhD, VIR Biotechnology (Employee) Nicola Scott, MSc, GlaxoSmithKline (Employee, Shareholder) Andrea L. Cathcart, PhD, Gilead (Shareholder)VIR (Employee, Shareholder) Christy Hebner, PhD, Vir Biotechnology (Employee, Shareholder) Jennifer Sager, PhD, GSK (Other Financial or Material Support)Vir Biotechnology (Employee, Shareholder) Erik Mogalian, PharmD, PhD, Vir Biotechnology (Employee, Shareholder) Daren Austin, PhD, GlaxoSmithKline (Employee, Shareholder) Amanda Peppercorn, MD, GlaxoSmithKline (Employee) Elizabeth L. Alexander, MD, MSc, GlaxoSmithKline (Grant/Research Support, Other Financial or Material Support)VIR Biotechnology (Employee, Shareholder, GSK pharmaceuticals) Wendy W. Yeh, MD, Vir Biotechnology (Employee) Almena Free, MD, Amgen (Scientific Research Study Investigator)Astra Zeneca (Scientific Research Study Investigator)Cardurian (Scientific Research Study Investigator)Coherus (Scientific Research Study Investigator)Freenome (Scientific Research Study Investigator)GlaxoSmithKline/Vir (Scientific Research Study Investigator)Ionis (Scientific Research Study Investigator)Kowa (Scientific Research Study Investigator)New Amsterdam (Scientific Research Study Investigator)Regenacy (Scientific Research Study Investigator)Romark (Scientific Research Study Investigator)Scynexis (Scientific Research Study Investigator) Cynthia Brinson, MD, Abbvie (Scientific Research Study Investigator)BI (Scientific Research Study Investigator)Gilead Sciences Inc. (Scientific Research Study Investigator, Advisor or Review Panel member, Speaker's Bureau, Personal fees)GSK (Scientific Research Study Investigator)Novo Nordisk (Scientific Research Study Investigator)ViiV Healthcare (Scientific Research Study Investigator, Advisor or Review Panel member, Speaker's Bureau) Melissa Aldinger, PharmD, VIR Biotechnology (Employee) Adrienne Shapiro, MD, PhD, Vir Biotechnology (Scientific Research Study Investigator)

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.048
GPT teacher head0.391
Teacher spread0.343 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
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".

Quick stats

Citations17
Published2021
Admission routes1
Has abstractyes

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