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  • Janes, Holly  (6)
  • Miller, Jacqueline  (6)
  • 2020-2024  (6)
  • 1
    In: JAMA Network Open, American Medical Association (AMA), Vol. 7, No. 5 ( 2024-05-23), p. e2412835-
    Abstract: SARS-CoV-2 viral load (VL) in the nasopharynx is difficult to quantify and standardize across settings, but it may inform transmission potential and disease severity. Objective To characterize VL at COVID-19 diagnosis among previously uninfected and unvaccinated individuals by evaluating the association of demographic and clinical characteristics, viral variant, and trial with VL, as well as the ability of VL to predict severe disease. Design, Setting, and Participants This secondary cross-protocol analysis used individual-level data from placebo recipients from 4 harmonized, phase 3 COVID-19 vaccine efficacy trials sponsored by Moderna, AstraZeneca, Janssen, and Novavax. Participants were SARS-CoV-2 negative at baseline and acquired COVID-19 during the blinded phase of the trials. The setting included the US, Brazil, South Africa, Colombia, Argentina, Peru, Chile, and Mexico; start dates were July 27, 2020, to December 27, 2020; data cutoff dates were March 26, 2021, to July 30, 2021. Statistical analysis was performed from November 2022 to June 2023. Main Outcomes and Measures Linear regression was used to assess the association of demographic and clinical characteristics, viral variant, and trial with polymerase chain reaction–measured log 10 VL in nasal and/or nasopharyngeal swabs taken at the time of COVID-19 diagnosis. Results Among 1667 participants studied (886 [53.1%] male; 995 [59.7%] enrolled in the US; mean [SD] age, 46.7 [14.7] years; 204 [12.2%] aged 65 years or older; 196 [11.8%] American Indian or Alaska Native, 150 [9%] Black or African American, 1112 [66.7%] White; 762 [45.7%] Hispanic or Latino), median (IQR) log 10 VL at diagnosis was 6.18 (4.66-7.12) log 10 copies/mL. Participant characteristics and viral variant explained only 5.9% of the variability in VL. The independent factor with the highest observed differences was trial: Janssen participants had 0.54 log 10 copies/mL lower mean VL vs Moderna participants (95% CI, 0.20 to 0.87 log 10 copies/mL lower). In the Janssen study, which captured the largest number of COVID-19 events and variants and used the most intensive post-COVID surveillance, neither VL at diagnosis nor averaged over days 1 to 28 post diagnosis was associated with COVID-19 severity. Conclusions and Relevance In this study of placebo recipients from 4 randomized phase 3 trials, high variability was observed in SARS-CoV-2 VL at the time of COVID-19 diagnosis, and only a fraction was explained by individual participant characteristics or viral variant. These results suggest challenges for future studies of interventions seeking to influence VL and elevates the importance of standardized methods for specimen collection and viral load quantitation.
    Type of Medium: Online Resource
    ISSN: 2574-3805
    Language: English
    Publisher: American Medical Association (AMA)
    Publication Date: 2024
    detail.hit.zdb_id: 2931249-8
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  • 2
    In: JAMA Network Open, American Medical Association (AMA), Vol. 6, No. 7 ( 2023-07-13), p. e2323349-
    Abstract: Current data identifying COVID-19 risk factors lack standardized outcomes and insufficiently control for confounders. Objective To identify risk factors associated with COVID-19, severe COVID-19, and SARS-CoV-2 infection. Design, Setting, and Participants This secondary cross-protocol analysis included 4 multicenter, international, randomized, blinded, placebo-controlled, COVID-19 vaccine efficacy trials with harmonized protocols established by the COVID-19 Prevention Network. Individual-level data from participants randomized to receive placebo within each trial were combined and analyzed. Enrollment began July 2020 and the last data cutoff was in July 2021. Participants included adults in stable health, at risk for SARS-CoV-2, and assigned to the placebo group within each vaccine trial. Data were analyzed from April 2022 to February 2023. Exposures Comorbid conditions, demographic factors, and SARS-CoV-2 exposure risk at the time of enrollment. Main Outcomes and Measures Coprimary outcomes were COVID-19 and severe COVID-19. Multivariate Cox proportional regression models estimated adjusted hazard ratios (aHRs) and 95% CIs for baseline covariates, accounting for trial, region, and calendar time. Secondary outcomes included severe COVID-19 among people with COVID-19, subclinical SARS-CoV-2 infection, and SARS-CoV-2 infection. Results A total of 57 692 participants (median [range] age, 51 [18-95] years; 11 720 participants [20.3%] aged ≥65 years; 31 058 participants [53.8%] assigned male at birth) were included. The analysis population included 3270 American Indian or Alaska Native participants (5.7%), 7849 Black or African American participants (13.6%), 17 678 Hispanic or Latino participants (30.6%), and 40 745 White participants (70.6%). Annualized incidence was 13.9% (95% CI, 13.3%-14.4%) for COVID-19 and 2.0% (95% CI, 1.8%-2.2%) for severe COVID-19. Factors associated with increased rates of COVID-19 included workplace exposure (high vs low: aHR, 1.35 [95% CI, 1.16-1.58]; medium vs low: aHR, 1.41 [95% CI, 1.21-1.65] ; P   & amp;lt; .001) and living condition risk (very high vs low risk: aHR, 1.41 [95% CI, 1.21-1.66]; medium vs low risk: aHR, 1.19 [95% CI, 1.08-1.32] ; P   & amp;lt; .001). Factors associated with decreased rates of COVID-19 included previous SARS-CoV-2 infection (aHR, 0.13 [95% CI, 0.09-0.19]; P   & amp;lt; .001), age 65 years or older (aHR vs age & amp;lt;65 years, 0.57 [95% CI, 0.50-0.64]; P   & amp;lt; .001) and Black or African American race (aHR vs White race, 0.78 [95% CI, 0.67-0.91]; P  = .002). Factors associated with increased rates of severe COVID-19 included race (American Indian or Alaska Native vs White: aHR, 2.61 [95% CI, 1.85-3.69]; multiracial vs White: aHR, 2.19 [95% CI, 1.50-3.20] ; P   & amp;lt; .001), diabetes (aHR, 1.54 [95% CI, 1.14-2.08]; P  = .005) and at least 2 comorbidities (aHR vs none, 1.39 [95% CI, 1.09-1.76]; P  = .008). In analyses restricted to participants who contracted COVID-19, increased severe COVID-19 rates were associated with age 65 years or older (aHR vs & amp;lt;65 years, 1.75 [95% CI, 1.32-2.31]; P   & amp;lt; .001), race (American Indian or Alaska Native vs White: aHR, 1.98 [95% CI, 1.38-2.83]; Black or African American vs White: aHR, 1.49 [95% CI, 1.03-2.14] ; multiracial: aHR, 1.81 [95% CI, 1.21-2.69]; overall P  = .001), body mass index (aHR per 1-unit increase, 1.03 [95% CI, 1.01-1.04]; P  = .001), and diabetes (aHR, 1.85 [95% CI, 1.37-2.49]; P   & amp;lt; .001). Previous SARS-CoV-2 infection was associated with decreased severe COVID-19 rates (aHR, 0.04 [95% CI, 0.01-0.14]; P   & amp;lt; .001). Conclusions and Relevance In this secondary cross-protocol analysis of 4 randomized clinical trials, exposure and demographic factors had the strongest associations with outcomes; results could inform mitigation strategies for SARS-CoV-2 and viruses with comparable epidemiological characteristics.
    Type of Medium: Online Resource
    ISSN: 2574-3805
    Language: English
    Publisher: American Medical Association (AMA)
    Publication Date: 2023
    detail.hit.zdb_id: 2931249-8
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  • 3
    In: New England Journal of Medicine, Massachusetts Medical Society, Vol. 385, No. 19 ( 2021-11-04), p. 1774-1785
    Type of Medium: Online Resource
    ISSN: 0028-4793 , 1533-4406
    RVK:
    Language: English
    Publisher: Massachusetts Medical Society
    Publication Date: 2021
    detail.hit.zdb_id: 207154-X
    detail.hit.zdb_id: 1468837-2
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  • 4
    In: Nature Communications, Springer Science and Business Media LLC, Vol. 14, No. 1 ( 2023-06-17)
    Abstract: While new vaccines for SARS-CoV-2 are authorized based on neutralizing antibody (nAb) titer against emerging variants of concern, an analogous pathway does not exist for preventative monoclonal antibodies. In this work, nAb titers were assessed as correlates of protection against COVID-19 in the casirivimab + imdevimab monoclonal antibody (mAb) prevention trial (ClinicalTrials.gov #NCT4452318) and in the mRNA-1273 vaccine trial (ClinicalTrials.gov #NCT04470427). In the mAb trial, protective efficacy of 92% (95% confidence interval (CI): 84%, 98%) is associated with a nAb titer of 1000 IU50/ml, with lower efficacy at lower nAb titers. In the vaccine trial, protective efficacies of 93% [95% CI: 91%, 95%] and 97% (95% CI: 95%, 98%) are associated with nAb titers of 100 and 1000 IU50/ml, respectively. These data quantitate a nAb titer correlate of protection for mAbs benchmarked alongside vaccine induced nAb titers and support nAb titer as a surrogate endpoint for authorizing new mAbs.
    Type of Medium: Online Resource
    ISSN: 2041-1723
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2553671-0
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  • 5
    In: New England Journal of Medicine, Massachusetts Medical Society, Vol. 384, No. 5 ( 2021-02-04), p. 403-416
    Type of Medium: Online Resource
    ISSN: 0028-4793 , 1533-4406
    RVK:
    Language: English
    Publisher: Massachusetts Medical Society
    Publication Date: 2021
    detail.hit.zdb_id: 207154-X
    detail.hit.zdb_id: 1468837-2
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  • 6
    In: Open Forum Infectious Diseases, Oxford University Press (OUP), Vol. 10, No. Supplement_2 ( 2023-11-27)
    Abstract: The effects of age and interval between vaccine doses on COVID-19 are incompletely understood, yet critical for public health policy. Methods This analysis evaluated the effectiveness of an mRNA-1273 50 μg booster (3rd dose) in ∼17,000 boosted participants in the phase 3 coronavirus efficacy (COVE) trial who previously received 2-doses of 100 µg mRNA-1273 during the randomized placebo-controlled phase (mRNA-1273, 1st dose July-Oct 2020), or open label phase (placebo-mRNA-1273, 1st dose Dec 2020-Apr 2021). A single 50 µg mRNA-1273 (original vaccine) booster was administered starting Sep 2021. The effect of boosting on COVID-19 risk was assessed in Cox models by the initially randomized arm, time since booster, and age groups ( & lt; 65, ≥ 65) between Sep 2021-May 2022 during the open label phase of COVE. Results The median dosing intervals (IQR) between primary series and booster were 8.2 (7.8-8.7) months for the placebo-mRNA-1273 and 12.9 (12.3-13.5) months for the mRNA-1273 arms. A booster dose provided substantial additional protection against COVID-19 during the Delta wave through 60 days and was high for Omicron (BA.1), then waned over time by 110 days (Figure). The risk of Omicron COVID-19 post booster was lower by 24% (95% CI: 16%, 32%) in the mRNA-1273 vs the placebo-mRNA arm indicating possible benefit of longer boost interval. In a separate analysis, among participants ≥ 65 years, the initial booster (95% CI) efficacy against Omicron was 86% (69%, 93%) which waned to 28% (-47%, 65%) after ∼4 months. For those & lt; 65 years, the analogous estimates were 50% (36%, 61%) and 6% (-29%, 31%), indicating a larger boosting effect in those ≥ 65 years. When further stratified by arm, for those ≥ 65 years, the initial boost efficacy against Omicron was 79% (41%, 92%) for the placebo-mRNA arm and 91% (79%, 96%) for mRNA-1273. For those & lt; 65, the analogous estimates were 52% (30%, 62%) and 55% (39%, 66%), suggesting the effect of booster interval was largely concentrated in those ≥ 65 years. Conclusion Boosting with mRNA-1273 provided additional COVID-19 protection during the Delta and Omicron variant waves. Overall, boosting reduced the risk of Omicron COVID-19 but waned over time (∼4 months). The effects of boosting and interval were more pronounced in those ≥ 65 years of age. Disclosures Xiaowei Wang, PhD, Moderna, Inc.: Stocks/Bonds Peter Gilbert, PhD, NIH NIAID: Grant/Research Support Lindsey R. Baden, MD, NIH/NIAID: Grant/Research Support Hana M. El Sahly, MD, NIH and/or NIAID: Grant/Research Support Holly Janes, PhD, National Institutes of Health: Grant/Research Support Weiping Deng, PhD, Moderna, Inc.: Stocks/Bonds Frances Priddy, MD, MPH, Moderna, Inc.: Stocks/Bonds|Moderna, Inc.: Stocks/Bonds Avika Dixit, MBBS, Moderna, Inc.: Stocks/Bonds Joanne Tomassini, Ph.D., Moderna, Inc.: Advisor/Consultant Rituparna Das, M.D., Moderna, Inc.: Employee|Moderna, Inc.: Stocks/Bonds Jacqueline Miller, MD, Moderna, Inc.: Employee|Moderna, Inc.: Stocks/Bonds Honghong Zhou, Ph.D., Moderna, Inc.: Stocks/Bonds
    Type of Medium: Online Resource
    ISSN: 2328-8957
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 2757767-3
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