All Studies Meta Analysis

Real-world Effectiveness of Sotrovimab for COVID-19: Evidence from United States (US) Administrative Claims Data

Bell et al., Open Forum Infectious Diseases, doi:10.1093/ofid/ofad500.579

Nov 2023

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Sotrovimab for COVID-19

41st treatment shown to reduce risk in May 2023, now with p = 0.002 from 25 studies, recognized in 38 countries. Efficacy is variant dependent.

Lower risk for mortality, ICU, and hospitalization.

No treatment is 100% effective. Protocols combine treatments.

5,100+ studies for 112 treatments. c19early.org

Retrospective 34,160 COVID-19 patients in the USA treated with sotrovimab matched to 68,320 untreated patients from May 2021-April 2022, during periods when Delta and early Omicron were predominant. Sotrovimab-treated patients had significantly lower rates of hospitalization, mortality, ICU admission, and need for respiratory support compared to matched untreated patients.

Authors exclude patients using antivirals in the control group but not the treatment group.

Confounding by treatment propensity. This study analyzes a population where only a fraction of eligible patients received the treatment. Patients receiving treatment may be more likely to follow other recommendations, more likely to receive additional care, and more likely to use additional treatments that are not tracked in the data (e.g., nasal/oral hygiene1,2, vitamin D3, etc.) — either because the physician recommending sotrovimab also recommended them, or because the patient seeking out sotrovimab is more likely to be familiar with the efficacy of additional treatments and more likely to take the time to use them. Therefore, these kind of studies may overestimate the efficacy of treatments.

Efficacy is variant dependent. In Vitro studies predict lower efficacy for BA.14-6, BA.4, BA.57, XBB.1.9.3, XBB.1.5.24, XBB.2.9, CH.1.18, and no efficacy for BA.29, XBB, XBB.1.5, ХВВ.1.9.110, XBB.1.16, BQ.1.1.45, and CL.18. US EUA has been revoked.

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risk of death, 80.3% lower, RR 0.20, p < 0.001, treatment 52 of 34,160 (0.2%), control 527 of 68,320 (0.8%), NNT 162.

risk of ICU admission, 29.8% lower, RR 0.70, p < 0.001, treatment 147 of 34,160 (0.4%), control 419 of 68,320 (0.6%), NNT 547.

risk of hospitalization, 16.4% lower, RR 0.84, p < 0.001, treatment 1,350 of 34,160 (4.0%), control 3,231 of 68,320 (4.7%), NNT 129.

Effect extraction follows pre-specified rules prioritizing more serious outcomes. Submit updates

1. c19early.org, c19early.org/p.c19early.org/p.

2. c19early.org (B), c19early.org/ph.c19early.org/ph.

3. c19early.org (C), c19early.org/d.c19early.org/d.

4. Liu et al., Striking Antibody Evasion Manifested by the Omicron Variant of SARS-CoV-2, bioRxiv, doi:10.1101/2021.12.14.472719.biorxiv.org, doi.org.

5. Sheward et al., Variable loss of antibody potency against SARS-CoV-2 B.1.1.529 (Omicron), bioRxiv, doi:10.1101/2021.12.19.473354.biorxiv.org, doi.org.

6. VanBlargan et al., An infectious SARS-CoV-2 B.1.1.529 Omicron virus escapes neutralization by several therapeutic monoclonal antibodies, bioRxiv, doi:10.1101/2021.12.15.472828.biorxiv.org, doi.org.

7. Haars et al., Prevalence of SARS-CoV-2 Omicron Sublineages and Spike Protein Mutations Conferring Resistance against Monoclonal Antibodies in a Swedish Cohort during 2022–2023, Microorganisms, doi:10.3390/microorganisms11102417.mdpi.com, doi.org.

8. Pochtovyi et al., In Vitro Efficacy of Antivirals and Monoclonal Antibodies against SARS-CoV-2 Omicron Lineages XBB.1.9.1, XBB.1.9.3, XBB.1.5, XBB.1.16, XBB.2.4, BQ.1.1.45, CH.1.1, and CL.1, Vaccines, doi:10.3390/vaccines11101533.mdpi.com, doi.org.

9. Zhou et al., SARS-CoV-2 Omicron BA.2 Variant Evades Neutralization by Therapeutic Monoclonal Antibodies, bioRxiv, doi:10.1101/2022.02.15.480166.biorxiv.org, doi.org.

10. Uraki et al., Antiviral efficacy against and replicative fitness of an XBB.1.9.1 clinical isolate, iScience, doi:10.1016/j.isci.2023.108147.sciencedirect.com, doi.org.

Bell et al., 27 Nov 2023, retrospective, USA, peer-reviewed, 6 authors.

This Paper Sotrovimab All

Real-world Effectiveness of Sotrovimab for COVID-19: Evidence from United States (US) Administrative Claims Data

MS Christopher F Bell, PhD Tasneem Lokhandwala, PhD Daniel C Gibbons, PhD Myriam Drysdale, MS Jane Wang, MSc Emily Lloyd

Background. This study compared outcomes among COVID-19 patients (pts) treated with the monoclonal antibody (mAb) sotrovimab matched to untreated pts. Methods. Administrative claims (Komodo Health) were used to identify pts (≥ 12 years) diagnosed with COVID-19 (ICD-10: U0.7.1) in an ambulatory setting in the US (26 May 2021-5 April 2022). The sotrovimab cohort included pts meeting sotrovimab's Emergency Use Authorization (EUA) criteria and receiving sotrovimab ≤ 10 days from diagnosis (index date = day of infusion). The untreated cohort included pts with no evidence of early/prophylaxis mAb or antiviral treatments (index date imputed based on the time distribution between diagnosis and sotrovimab infusion for their matched counterpart from the sotrovimab cohort). Pts were required to be continuously enrolled for ≥ 12 months pre-index and ≥ 29 days post-index (excluding death). Exact matching and propensity-score matching (EM/PSM) methods were used to construct 1:2 matched cohorts of sotrovimab-treated and untreated patients (EM; age [≤ 5 years], diagnosis date [≤ 14 days], state: PSM; gender, payor, region,

{ 'indexed': { 'date-parts': [[2023, 11, 27]], 'date-time': '2023-11-27T05:16:36Z', 'timestamp': 1701062196607}, 'reference-count': 0, 'publisher': 'Oxford University Press (OUP)', 'issue': 'Supplement_2', 'license': [ { 'start': { 'date-parts': [[2023, 11, 27]], 'date-time': '2023-11-27T00:00:00Z', 'timestamp': 1701043200000}, 'content-version': 'vor', 'delay-in-days': 0, 'URL': 'https://creativecommons.org/licenses/by/4.0/'}], 'content-domain': {'domain': [], 'crossmark-restriction': False}, 'published-print': {'date-parts': [[2023, 11, 27]]}, 'abstract': 'Abstract\n' ' \n' ' Background\n' ' This study compared outcomes among COVID-19 patients (pts) treated ' 'with the monoclonal antibody (mAb) sotrovimab matched to untreated pts.\n' ' \n' ' \n' ' Methods\n' ' Administrative claims (Komodo Health) were used to identify pts (≥ ' '12 years) diagnosed with COVID-19 (ICD-10: U0.7.1) in an ambulatory setting in the US (26 May ' '2021–5 April 2022). The sotrovimab cohort included pts meeting sotrovimab’s Emergency Use ' 'Authorization (EUA) criteria and receiving sotrovimab ≤ 10 days from diagnosis (index date = ' 'day of infusion). The untreated cohort included pts with no evidence of early/prophylaxis mAb ' 'or antiviral treatments (index date imputed based on the time distribution between diagnosis ' 'and sotrovimab infusion for their matched counterpart from the sotrovimab cohort). Pts were ' 'required to be continuously enrolled for ≥ 12 months pre-index and ≥ 29 days post-index ' '(excluding death). Exact matching and propensity-score matching (EM/PSM) methods were used to ' 'construct 1:2 matched cohorts of sotrovimab-treated and untreated patients (EM; age [≤ 5 ' 'years], diagnosis date [≤ 14 days], state: PSM; gender, payor, region, Quan-Charlson score, ' 'EUA criteria, index date, baseline healthcare utilization). Outcomes evaluated in the 29-day ' 'post-index period were all-cause hospitalization, all-cause hospitalization and/or mortality, ' 'all-cause mortality, intensive care unit (ICU) admission, and maximum level of respiratory ' 'support.\n' ' \n' ' \n' ' Results\n' ' A total of 34,160 sotrovimab pts were matched to 68,320 untreated ' 'pts (characteristics well balanced: 54 years of age, approximately 40% male, 42% had ' 'commercial payor, and approximately 50% indexed in January 2022). The 29-day hospitalization ' 'and/or mortality rates were 4.0% (n=1,380 / 34,160) and 5.2% (n=3,566 / 68,320) in the ' 'sotrovimab and untreated cohorts, respectively (p &lt; 0.0001). Patients in the ' 'sotrovimab cohort had statistically significantly lower rates of all-cause hospitalization, ' 'all-cause mortality, ICU admission, and respiratory support as compared with patients in the ' 'untreated cohort (Table).\n' ' *Obtained from conditional logistic regression models (binary ' 'outcomes). All models adjusted for malignancy. ECMO, extracorporeal membrane oxygenation; ' 'ICU, intensive care unit\n' ' \n' ' \n' ' Conclusion\n' ' Sotrovimab demonstrated effectiveness in preventing severe outcomes ' '(hospitalization, mortality and respiratory support) as compared with untreated pts during ' 'the period in which Delta and early Omicron variants were predominant.\n' ' \n' ' \n' ' Disclosures\n' ' Christopher F. Bell, MS, GSK: Employee|GSK: Stocks/Bonds Tasneem ' 'Lokhandwala, PhD, GSK: Funding to conduct study|Vir Biotechnology, Inc: Funding to conduct ' 'study Daniel C. Gibbons, PhD, GSK: Employee|GSK: Stocks/Bonds Myriam Drysdale, PhD, GSK: ' 'Employee|GSK: Stocks/Bonds Jane Wang, MS, GSK: Funding to conduct study|Vir Biotechnology, ' 'Inc: Funding to conduct study Emily Lloyd, MSc, GSK: Employee|GSK: Stocks/Bonds\n' ' ', 'DOI': '10.1093/ofid/ofad500.579', 'type': 'journal-article', 'created': { 'date-parts': [[2023, 11, 27]], 'date-time': '2023-11-27T02:22:24Z', 'timestamp': 1701051744000}, 'source': 'Crossref', 'is-referenced-by-count': 0, 'title': '510. 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