Evaluation of the effectiveness of remdesivir in treating severe COVID-19 using data from the ISARIC WHO Clinical Characterisation Protocol UK: a prospective, national cohort study
et al., medRxiv, doi:10.1101/2021.06.18.21259072, Jun 2021
PSM analysis of remdesivir use in the UK showing no significant reduction in mortality at 14 days, and significantly higher mechanical ventilation/ECMO and liver dysfunction.
Authors appear to have abandoned this preprint, with no journal publication as of April 2026.
Version 2 of the preprint reframes the results toward a more favorable interpretation of remdesivir - removing the negative conclusion from v1 and emphasizing 28-day results. Version 2 also removed several paragraphs from v1's discussion about propensity score limitations and the omission of variables like oxygen saturation, respiratory rate, GCS, urea, and CRP from the matching model - a section that was self-critical about study weaknesses with authors stating "with hindsight these may have been important to consider..." The acknowledgment that "73% of patients given remdesivir were excluded" was changed to "43% were excluded" in v2 - this reflects a different denominator (v1 counted all remdesivir patients in the database; v2 counts only those eligible after other criteria were applied).
Contradiction regarding equivalent standard of care assumption: in the methods section, authors state regarding corticosteroids that 'remdesivir patients will have received these in the same way as non-remdesivir patients.' However, the results demonstrate a large discrepancy, with 94% of remdesivir patients receiving dexamethasone post-baseline compared to only 62% of matched controls, directly invalidating their methodology assumption.
Adjustment for post-baseline treatment (collider bias): the primary logistic regression model adjusts for 'dexamethasone use during hospitalisation'. Adjusting for a post-baseline variable that may be influenced by patient deterioration or unmeasured disease severity introduces collider bias and distorts the true treatment effect.
Severe imbalance in post-baseline therapies indicating unmeasured severity bias: despite propensity score matching on baseline characteristics, post-baseline non-invasive ventilation (28.8% vs 10.2%) and mechanical ventilation (6.8% vs 3.3%) were much higher in the remdesivir group. This strongly indicates residual confounding, where the remdesivir group either had higher unmeasured baseline severity or was subject to a significantly more aggressive care pathway.
Contradictory sample sizes for the primary outcome across sections: the CONSORT flowchart (Figure 1) and the main text state that 1,507 remdesivir and 4,734 control patients were included in the primary outcome analysis. However, Table 2 lists the incidence denominators as 1,502 for remdesivir and 4,728 for control.
Mismatch in the number of patients included in the logistic regression model: page 8 states '6,202 patients were included in a logistic regression model (Table 2)'. However, Table 2 reports counts summing to 6,192 patients.
Manufacturer involvement in Statistical Analysis Plan: authors note that the manufacturer (Gilead) was given the opportunity to review and comment on the SAP.
Inconsistent control group mortality percentage: the abstract and text report the 14-day mortality for the control group as 11.9% (565/4,734). Table 2 reports it as 12.0%.
Author financial ties to the manufacturer: several authors disclose that they are coordinating or serving as lead statistician for trials fully or partially funded by Gilead, the manufacturer of remdesivir. This is properly disclosed but represents a substantial financial conflict of interest.
Mismatch in categorical sum for comorbidities: in Table 1, under 'Number of key comorbidities' for the matched remdesivir group, the total N is reported as 1,542, but the sum of the constituent categories (0: 470, 1: 470, 2+: 603) mathematically equals 1,543.
Gérard, Zhou, Wu, Kamo, Choi, Kim show increased risk of acute kidney injury, Leo, Briciu, Muntean, Petrov, Arch show increased risk of liver injury, and Negru, Cheng, Mohammed, Kwok, Zhu show increased risk of cardiac disorders with remdesivir.
Remdesivir efficacy disappears with longer
followup. Mixed-effects meta-regression of efficacy as a function of
followup duration across all remdesivir studies shows decreasing efficacy with
longer followup17. This may reflect
antiviral efficacy being offset by serious adverse effects of treatment.
Standard of Care (SOC) for COVID-19 in the study country,
the United Kingdom, is very poor with very low average efficacy for approved treatments18.
The United Kingdom focused on expensive high-profit treatments, approving only one low-cost early treatment, which required a prescription and had limited adoption. The high-cost prescription treatment strategy reduces the probability of early treatment due to access and cost barriers, and eliminates complementary and synergistic benefits seen with many low-cost treatments.
|
risk of death, 19.9% lower, RR 0.80, p = 0.03, treatment 203 of 1,491 (13.6%), control 777 of 4,676 (16.6%), NNT 33, odds ratio converted to relative risk, PSM, day 28.
|
|
risk of death, 18.0% lower, RR 0.82, p = 0.12, treatment 140 of 1,502 (9.3%), control 565 of 4,728 (12.0%), NNT 38, odds ratio converted to relative risk, PSM, day 14.
|
|
risk of mechanical ventilation, 68.0% higher, RR 1.68, p = 0.003, treatment 106 of 1,498 (7.1%), control 153 of 4,602 (3.3%), odds ratio converted to relative risk, PSM, day 28.
|
|
Liver dysfunction, 47.0% higher, RR 1.47, p < 0.001, treatment 124 of 1,443 (8.6%), control 241 of 4,483 (5.4%), odds ratio converted to relative risk, PSM, day 28.
|
| Effect extraction follows pre-specified rules prioritizing more serious outcomes. Submit updates |
1.
Gérard et al., Remdesivir and Acute Renal Failure: A Potential Safety Signal From Disproportionality Analysis of the WHO Safety Database, Clinical Pharmacology & Therapeutics, doi:10.1002/cpt.2145.
2.
Zhou et al., Acute Kidney Injury and Drugs Prescribed for COVID-19 in Diabetes Patients: A Real-World Disproportionality Analysis, Frontiers in Pharmacology, doi:10.3389/fphar.2022.833679.
3.
Wu et al., Acute Kidney Injury Associated With Remdesivir: A Comprehensive Pharmacovigilance Analysis of COVID-19 Reports in FAERS, Frontiers in Pharmacology, doi:10.3389/fphar.2022.692828.
4.
Kamo et al., Association of Antiviral Drugs for the Treatment of COVID-19 With Acute Renal Failure, In Vivo, doi:10.21873/invivo.13637.
5.
Choi et al., Comparative effectiveness of combination therapy with nirmatrelvir–ritonavir and remdesivir versus monotherapy with remdesivir or nirmatrelvir–ritonavir in patients hospitalised with COVID-19: a target trial emulation study, The Lancet Infectious Diseases, doi:10.1016/S1473-3099(24)00353-0.
6.
Kim et al., Investigating the Safety Profile of Fast‐Track COVID‐19 Drugs Using the FDA Adverse Event Reporting System Database: A Comparative Observational Study, Pharmacoepidemiology and Drug Safety, doi:10.1002/pds.70043.
7.
Leo et al., Hepatocellular liver injury in hospitalized patients affected by COVID-19: Presence of different risk factors at different time points, Digestive and Liver Disease, doi:10.1016/j.dld.2021.12.014.
8.
Briciu et al., Evolving Clinical Manifestations and Outcomes in COVID-19 Patients: A Comparative Analysis of SARS-CoV-2 Variant Waves in a Romanian Hospital Setting, Pathogens, doi:10.3390/pathogens12121453.
9.
Muntean et al., Effects of COVID-19 on the Liver and Mortality in Patients with SARS-CoV-2 Pneumonia Caused by Delta and Non-Delta Variants: An Analysis in a Single Centre, Pharmaceuticals, doi:10.3390/ph17010003.
10.
Petrov et al., The Effect of Potentially Hepatotoxic Medicinal Products on Alanine Transaminase Levels in COVID-19 Patients: A Case–Control Study, Safety and Risk of Pharmacotherapy, doi:10.30895/2312-7821-2025-458.
11.
Arch et al., Evaluation of the effectiveness of remdesivir in treating severe COVID-19 using data from the ISARIC WHO Clinical Characterisation Protocol UK: a prospective, national cohort study, medRxiv, doi:10.1101/2021.06.18.21259072.
12.
Negru et al., Comparative Pharmacovigilance Analysis of Approved and Repurposed Antivirals for COVID-19: Insights from EudraVigilance Data, Biomedicines, doi:10.3390/biomedicines13061387.
13.
Cheng et al., Cardiovascular Safety of COVID-19 Treatments: A Disproportionality Analysis of Adverse Event Reports from the WHO VigiBase, Infectious Diseases and Therapy, doi:10.1007/s40121-025-01225-z.
14.
Mohammed et al., Bradycardia associated with remdesivir treatment in coronavirus disease 2019 patients: A propensity score-matched analysis, Medicine, doi:10.1097/MD.0000000000044501.
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Kwok et al., Remdesivir induces persistent mitochondrial and structural damage in human induced pluripotent stem cell-derived cardiomyocytes, Cardiovascular Research, doi:10.1093/cvr/cvab311.
Arch et al., 21 Jun 2021, prospective, propensity score matching, United Kingdom, preprint, 10 authors, average treatment delay 6.0 days.
Abstract: medRxiv preprint doi: https://doi.org/10.1101/2021.06.18.21259072; this version posted June 21, 2021. The copyright holder for this preprint
(which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
It is made available under a CC-BY-NC-ND 4.0 International license .
Evaluation of the effectiveness of remdesivir in treating severe COVID-19
using data from the ISARIC WHO Clinical Characterisation Protocol UK:
a prospective, national cohort study.
Short Running title: ISARIC4C Remdesivir effectiveness study
Authors
Arch BN1, Kovacs D2*, Scott JT3*, Jones AP1, Harrison EM4, Rosala-Hallas A1, Gamble CG1, Openshaw
PJM 5, Baillie JK6, Semple MG7,8 on behalf of ISARIC4C Investigators
*Joint 2nd authors
Affiliations
1. Liverpool Clinical Trials Centre, Clinical Directorate, Faculty of Health and Life Sciences,
University of Liverpool, UK.
2. Institute of Biodiversity, Animal health and Comparative Medicine, University of Glasgow,
Glasgow, UK
3. MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
4. Centre for Medical Informatics, The Usher Institute, University of Edinburgh, Edinburgh, UK
5. National Heart and Lung Institute, Imperial College London, London, UK
6. Roslin Institute, University of Edinburgh, Edinburgh, UK
7. Health Protection Research Unit in Emerging and Zoonotic Infections, Institute of Infection,
Veterinary and Ecological Sciences, Faculty of Health and Life Sciences, University of
Liverpool, Liverpool, UK.
8. Department of Respiratory Medicine, Alder Hey Children’s Hospital, Liverpool, UK.
Corresponding author
Barbara Arch. Liverpool Clinical Trials Centre, University of Liverpool, Institute in the Park, Alder
Hey Childrens Hospital, Eaton Road, Liverpool, L12 2AP.
Email: barbara.arch@liverpool.ac.uk, Tel: +44(0)151 795 8751
Word Count
Abstract 267/300
Manuscript (excluding Research in Context Panel) 3,579/3,500
NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice.
Page 1 of 22
medRxiv preprint doi: https://doi.org/10.1101/2021.06.18.21259072; this version posted June 21, 2021. The copyright holder for this preprint
(which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
It is made available under a CC-BY-NC-ND 4.0 International license .
Abstract
Background
Remdesivir was given UK early-access approval for use in COVID-19 in people aged 12 years and
older on 26th May 2020 on the basis of unmet clinical need. Evidence on the side effects, complications
of therapy and effectiveness of this therapy is lacking or conflicting.
Methods
Adults with severe COVID-19 treated with remdesivir were compared with propensity-score matched
controls, identified from the ISARIC WHO Clinical Characterisation Protocol study of UK hospitalised
patients with COVID-19. Remdesivir patients were matched to controls according to baseline
underlying 14-day mortality risk. The effect of remdesivir on short-term outcomes was investigated
(primary outcome: 14-day mortality). Effect sizes were estimated and adjusted for potential
confounders using multivariable modelling.
Results
1,549 patients given remdesivir and 4,964 matched controls were identified satisfying inclusion and
exclusion criteria. The balance diagnostic threshold was achieved. Patients had symptoms for a median
of 6 days prior to..
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