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All Studies   Meta Analysis       

Remdesivir reduced mortality in immunocompromised patients hospitalized for COVID-19 across variant waves: Findings from routine clinical practice.

Mozaffari et al., Clinical Infectious Diseases, doi:10.1093/cid/ciad460
Aug 2023  
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Mortality, day 28 25% Improvement Relative Risk Mortality, day 14 30% Remdesivir  Mozaffari et al.  LATE TREATMENT Is late treatment with remdesivir beneficial for COVID-19? PSM retrospective 19,510 patients in the USA (Dec 2020 - Apr 2022) Lower mortality with remdesivir (p<0.000001) c19early.org Mozaffari et al., Clinical Infectious .., Aug 2023 Favorsremdesivir Favorscontrol 0 0.5 1 1.5 2+
Retrospective 19,184 immunocompromised patients treated with remdesivir and matched controls, showing lower mortality with treatment. Several authors work at Gilead and the study was funded by Gilead.
The majority of patients were treated with remdesivir. A significant fraction of non-remdesivir patients may have contraindications that also increase risk. Authors provide serum creatine for 26% of the cohort, but notably provide only median and IQR, not allowing comparison of the number of patients with high values. Authors state that "renal function was not significantly different" between remdesivir and non-remdesivir patients, but this does not seem realistic given the prevalence of renal impairment and the contraindictions for remdesivir.
Gérard, Zhou, Wu, Kamo, Choi, Kim show significantly increased risk of acute kidney injury 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 followup7. This may reflect antiviral efficacy being offset by serious adverse effects of treatment.
Followup duration (days) Efficacy Remdesivir mortality efficacy decreases with longer followup 0 15 30 45 60 75 90 105 -25% 0% 25% 50% c19early.org November 2024 mixed-effects meta-regression slope -0.58 [95% CI -0.92 to -0.24] p=0.00089
risk of death, 25.0% lower, HR 0.75, p < 0.001, treatment 14,169, control 5,341, adjusted per study, propensity score matching, Cox proportional hazards, day 28.
risk of death, 30.0% lower, HR 0.70, p < 0.001, treatment 14,169, control 5,341, adjusted per study, propensity score matching, Cox proportional hazards, day 14.
Effect extraction follows pre-specified rules prioritizing more serious outcomes. Submit updates
Mozaffari et al., 9 Aug 2023, retrospective, USA, peer-reviewed, 11 authors, study period 1 December, 2020 - 30 April, 2022. Contact: akalil@unmc.edu, robert.gottlieb@bswhealth.org.
This PaperRemdesivirAll
Remdesivir reduced mortality in immunocompromised patients hospitalized for COVID-19 across variant waves: Findings from routine clinical practice.
Essy Mozaffari, Aastha Chandak, Dr Robert L Gottlieb, Chidinma Chima-Melton, Stephanie H Read, Heng Jiang, Mel Chiang, Eunyoung Lee, Rikisha Gupta, Mark Berry, Dr Andre C Kalil
Clinical Infectious Diseases, doi:10.1093/cid/ciad460
Background: Immunocompromised patients are at high risk of severe COVID-19 and death, yet treatment strategies for immunocompromised patients hospitalized for COVID-19 reflect variations in clinical practice. This comparative effectiveness study investigated the effect of remdesivir treatment on inpatient mortality among immunocompromised patients hospitalized for COVID-19 across all variants of concern (VOC) periods.
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This comparative effectiveness study investigated ' 'the effect of remdesivir treatment on inpatient mortality among immunocompromised patients ' 'hospitalized for COVID-19 across all variants of concern (VOC) periods.</jats:p>\n' ' </jats:sec>\n' ' <jats:sec>\n' ' <jats:title>Methods</jats:title>\n' ' <jats:p>Data for immunocompromised patients hospitalized for COVID-19 ' 'between December 2020 and April 2022 were extracted from the US PINC AI Healthcare Database. ' 'Patients initiating remdesivir within two days of hospitalization were matched 1:1 using ' 'propensity score matching with replacement to patients who did not receive remdesivir during ' 'their hospitalization for COVID-19. Additional matching criteria included admission month, ' 'age group, and hospital. Cox Proportional Hazards models were used to examine the effect of ' 'remdesivir on risk of 14- and 28-day mortality during VOC periods.</jats:p>\n' ' </jats:sec>\n' ' <jats:sec>\n' ' <jats:title>Results</jats:title>\n' ' <jats:p>A total of 19,184 remdesivir patients were matched to 11,213 ' 'non-remdesivir patients. Overall, 11.1% and 17.7% of remdesivir patients died within 14 and ' '28 days, respectively, compared with 15.4% and 22.4% of non-remdesivir patients. Remdesivir ' 'was associated with a reduction in mortality at 14 days (hazard ratio [95% confidence ' 'interval]: 0.70 [0.62–0.78]) and 28 days (0.75 [0.68–0.83]). Survival benefit remained ' 'significant during the Pre-Delta, Delta, and Omicron time-periods.</jats:p>\n' ' </jats:sec>\n' ' <jats:sec>\n' ' <jats:title>Conclusions</jats:title>\n' ' <jats:p>Prompt initiation of remdesivir in immunocompromised patients ' 'hospitalized for COVID-19 is associated with significant survival benefit across all variant ' 'waves. These findings provide much-needed evidence relating to the effectiveness of a ' 'foundational treatment for hospitalized COVID-19 patients among a high-risk ' 'population.</jats:p>\n' ' </jats:sec>', 'DOI': '10.1093/cid/ciad460', 'type': 'journal-article', 'created': {'date-parts': [[2023, 8, 8]], 'date-time': '2023-08-08T04:31:21Z', 'timestamp': 1691469081000}, 'source': 'Crossref', 'is-referenced-by-count': 0, 'title': 'Remdesivir reduced mortality in immunocompromised patients hospitalized for COVID-19 across ' 'variant waves: Findings from routine clinical practice.', 'prefix': '10.1093', 'author': [ { 'given': 'Essy', 'family': 'Mozaffari', 'sequence': 'first', 'affiliation': [{'name': 'Gilead Sciences, Foster City , California , USA'}]}, { 'given': 'Aastha', 'family': 'Chandak', 'sequence': 'additional', 'affiliation': [{'name': 'Certara, New York , New York , USA'}]}, { 'given': 'Robert L', 'family': 'Gottlieb', 'sequence': 'additional', 'affiliation': [ {'name': 'Baylor University Medical Center , Dallas, Texas , USA'}, { 'name': 'Baylor Scott & White Heart and Vascular Hospital , Dallas, Texas ' ', USA'}, {'name': 'Baylor Scott & White The Heart Hospital , Plano, Texas , USA'}, {'name': 'Baylor Scott & White Research Institute , Dallas, Texas , USA'}]}, { 'given': 'Chidinma', 'family': 'Chima-Melton', 'sequence': 'additional', 'affiliation': [{'name': 'UCLA Health , Torrance, California , USA'}]}, { 'given': 'Stephanie H', 'family': 'Read', 'sequence': 'additional', 'affiliation': [{'name': 'Certara , London , United Kingdom'}]}, { 'given': 'Heng', 'family': 'Jiang', 'sequence': 'additional', 'affiliation': [{'name': 'Certara , Paris , France'}]}, { 'given': 'Mel', 'family': 'Chiang', 'sequence': 'additional', 'affiliation': [{'name': 'Gilead Sciences, Foster City , California , USA'}]}, { 'given': 'EunYoung', 'family': 'Lee', 'sequence': 'additional', 'affiliation': [{'name': 'Gilead Sciences, Foster City , California , USA'}]}, { 'given': 'Rikisha', 'family': 'Gupta', 'sequence': 'additional', 'affiliation': [{'name': 'Gilead Sciences, Foster City , California , USA'}]}, { 'given': 'Mark', 'family': 'Berry', 'sequence': 'additional', 'affiliation': [{'name': 'Gilead Sciences, Foster City , California , USA'}]}, { 'ORCID': 'http://orcid.org/0000-0002-6489-6294', 'authenticated-orcid': False, 'given': 'Andre C', 'family': 'Kalil', 'sequence': 'additional', 'affiliation': [{'name': 'University of Nebraska Medical Center , Omaha, Nebraska , USA'}]}], 'member': '286', 'published-online': {'date-parts': [[2023, 8, 9]]}, 'container-title': 'Clinical Infectious Diseases', 'original-title': [], 'language': 'en', 'link': [ { 'URL': 'https://academic.oup.com/cid/advance-article-pdf/doi/10.1093/cid/ciad460/51077887/ciad460.pdf', 'content-type': 'application/pdf', 'content-version': 'am', 'intended-application': 'syndication'}, { 'URL': 'https://academic.oup.com/cid/advance-article-pdf/doi/10.1093/cid/ciad460/51077887/ciad460.pdf', 'content-type': 'unspecified', 'content-version': 'vor', 'intended-application': 'similarity-checking'}], 'deposited': { 'date-parts': [[2023, 8, 9]], 'date-time': '2023-08-09T18:52:17Z', 'timestamp': 1691607137000}, 'score': 1, 'resource': { 'primary': { 'URL': 'https://academic.oup.com/cid/advance-article/doi/10.1093/cid/ciad460/7240094'}}, 'subtitle': [], 'short-title': [], 'issued': {'date-parts': [[2023, 8, 9]]}, 'references-count': 0, 'URL': 'http://dx.doi.org/10.1093/cid/ciad460', 'relation': {}, 'ISSN': ['1058-4838', '1537-6591'], 'subject': ['Infectious Diseases', 'Microbiology (medical)'], 'published': {'date-parts': [[2023, 8, 9]]}}
Late treatment
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