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Chen DTH, Copland E, Hirst JA, Mi E, Dixon S, Coupland C, Hippisley-Cox J. Uptake, effectiveness and safety of COVID-19 vaccines in individuals at clinical risk due to immunosuppressive drug therapy or transplantation procedures: a population-based cohort study in England. BMC Med 2024; 22:237. [PMID: 38858672 PMCID: PMC11165729 DOI: 10.1186/s12916-024-03457-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 05/30/2024] [Indexed: 06/12/2024] Open
Abstract
BACKGROUND Immunocompromised individuals are at increased risk of severe COVID-19 outcomes, underscoring the importance of COVID-19 vaccination in this population. The lack of comprehensive real-world data on vaccine uptake, effectiveness and safety in these individuals presents a critical knowledge gap, highlighting the urgency to better understand and address the unique challenges faced by immunocompromised individuals in the context of COVID-19 vaccination. METHODS We analysed data from 12,274,946 people in the UK aged > 12 years from 01/12/2020 to 11/04/2022. Of these, 583,541 (4.8%) were immunocompromised due to immunosuppressive drugs, organ transplants, dialysis or chemotherapy. We undertook a cohort analysis to determine COVID-19 vaccine uptake, nested case-control analyses adjusted for comorbidities and sociodemographic characteristics to determine effectiveness of vaccination against COVID-19 hospitalisation, ICU admission and death, and a self-controlled case series assessing vaccine safety for pre-specified adverse events of interest. RESULTS Overall, 93.7% of immunocompromised individuals received at least one COVID-19 vaccine dose, with 80.4% having received three or more doses. Uptake reduced with increasing deprivation (hazard ratio [HR] 0.78 [95%CI 0.77-0.79] in the most deprived quintile compared to the least deprived quintile for the first dose). Estimated vaccine effectiveness against COVID-19 hospitalisation 2-6 weeks after the second and third doses compared to unvaccinated was 78% (95%CI 72-83) and 91% (95%CI 88-93) in the immunocompromised population, versus 85% (95%CI 83-86) and 86% (95%CI 85-89), respectively, for the general population. Results showed COVID-19 vaccines were protective against intensive care unit (ICU) admission and death in both populations, with effectiveness of over 92% against COVID-19-related death and up to 95% in reducing ICU admissions for both populations following the third dose. COVID-19 vaccines were generally safe for immunocompromised individuals, though specific doses of ChAdOx1, mRNA-1273 and BNT162b2 raised risks of specific cardiovascular/neurological conditions. CONCLUSIONS COVID-19 vaccine uptake is high in immunocompromised individuals on immunosuppressive drug therapy or who have undergone transplantation procedures, with documented disparities by deprivation. Findings suggest that COVID-19 vaccines are protective against severe COVID-19 outcomes in this vulnerable population, and show a similar safety profile in immunocompromised individuals and the general population, despite some increased risk of adverse events. These results underscore the importance of ongoing vaccination prioritisation for this clinically at-risk population to maximise protection against severe COVID-19 outcomes.
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Affiliation(s)
- Daniel Tzu-Hsuan Chen
- Nuffield Department of Primary Care Health Science, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK
| | - Emma Copland
- Nuffield Department of Primary Care Health Science, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK
| | - Jennifer A Hirst
- Nuffield Department of Primary Care Health Science, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK
| | - Emma Mi
- Nuffield Department of Primary Care Health Science, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK
| | - Sharon Dixon
- Nuffield Department of Primary Care Health Science, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK
| | - Carol Coupland
- Nuffield Department of Primary Care Health Science, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK
- Centre for Academic Primary Care, School of Medicine, University of Nottingham, Nottingham, NG7 2UH, UK
| | - Julia Hippisley-Cox
- Nuffield Department of Primary Care Health Science, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK.
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Kim HK, Park SK, Choe SA, Gwak ES, Cowling BJ, Kim YM, Lee KH, Lee SW, Kwon GY, Jang EJ, Kim RK, Choe YJ, Kwon D. Risk of SARS-CoV-2 breakthrough infection following NVX-CoV2373 and BNT162b2 vaccinations in Korean Adults: A population-based observational study. Vaccine 2024; 42:1440-1444. [PMID: 38365479 DOI: 10.1016/j.vaccine.2024.02.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 02/06/2024] [Accepted: 02/06/2024] [Indexed: 02/18/2024]
Abstract
South Korea experienced a low prevalence of SARS-CoV-2 until the emergence of the omicron in early 2022, triggering a major community epidemic. To evaluate effectiveness of NVX-CoV2373 and BNT162b2 vaccines in Korean population, we conducted an observational study utilizing individual-level case data on laboratory-confirmed SARS-CoV-2 infection, along with vaccination record. A total of 47,078 recipients of NVX-CoV2373 vaccine and 7,561 recipients of BNT162b2 vaccine were eligible for the study. Thirty days post-second doses, COVID-19 rates were 7.9% (595 out of 7561) of NVX-CoV2373 recipients and 8.6 % (647 out of 7561) of BNT162b2 recipients experienced COVID-19. NVX-CoV2373 rates increased to 9.8 % and 11.2 % at 60 and 90 days, while BNT162b2 rates were 10.5 % and 11.3 % at the same intervals. The 22-weeks risk ratios for recipients of the NVX-CoV2373 vaccine as compared with recipients of the BNT162b2 vaccine were 1.11 (95 % CI, 0.99 to 1.25) for laboratory-confirmed SARS-CoV-2 infection. Continued monitoring is essential to evaluate the duration of protection across different vaccine platforms and schedules.
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Affiliation(s)
- Hee Kyoung Kim
- Director for Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea; Department of Epidemiology and Health Informatics, Graduate School of Public Health, Korea University, Seoul, Korea
| | - Seon Kyeong Park
- Director for Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Seung Ah Choe
- Department of Epidemiology and Health Informatics, Graduate School of Public Health, Korea University, Seoul, Korea; Department of Preventive Medicine, Korea University College of Medicine, Seoul, Korea
| | - Eun Sun Gwak
- Department of Preventive Medicine, Korea University College of Medicine, Seoul, Korea
| | - Benjamin John Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Pokfulam, Hong Kong
| | - Young-Man Kim
- Director for Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Kil Hun Lee
- Director for Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Sang Won Lee
- Director for Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Geun-Yong Kwon
- Director for Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Eun Jung Jang
- Director for Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Ryu Kyung Kim
- Director for Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Young June Choe
- Department of Pediatrics, Korea University Anam Hospital, and Allergy and Immunology Center, Korea University, Seoul, Korea.
| | - Donghyok Kwon
- Director for Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea.
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Cheung YYH, Lau EHY, Yin G, Lin Y, Cowling BJ, Lam KF. Effectiveness of Vaccines and Antiviral Drugs in Preventing Severe and Fatal COVID-19, Hong Kong. Emerg Infect Dis 2024; 30:70-78. [PMID: 38040664 PMCID: PMC10756371 DOI: 10.3201/eid3001.230414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2023] Open
Abstract
We compared the effectiveness and interactions of molnupiravir and nirmatrelvir/ritonavir and 2 vaccines, CoronaVac and Comirnaty, in a large population of inpatients with COVID-19 in Hong Kong. Both the oral antiviral drugs and vaccines were associated with lower risks for all-cause mortality and progression to serious/critical/fatal conditions (study outcomes). No significant interaction effects were observed between the antiviral drugs and vaccinations; their joint effects were additive. If antiviral drugs were prescribed within 5 days of confirmed COVID-19 diagnosis, usage was associated with lower risks for the target outcomes for patients >60, but not <60, years of age; no significant clinical benefit was found if prescribed beyond 5 days. Among patients >80 years of age, 3-4 doses of Comirnaty vaccine were associated with significantly lower risks for target outcomes. Policies should encourage COVID-19 vaccination, and oral antivirals should be made accessible to infected persons within 5 days of confirmed diagnosis.
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Meah S, Shi X, Fritsche LG, Salvatore M, Wagner A, Martin ET, Mukherjee B. Design and analysis heterogeneity in observational studies of COVID-19 booster effectiveness: A review and case study. SCIENCE ADVANCES 2023; 9:eadj3747. [PMID: 38117882 PMCID: PMC10732535 DOI: 10.1126/sciadv.adj3747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 11/16/2023] [Indexed: 12/22/2023]
Abstract
We investigated the design and analysis of observational booster vaccine effectiveness (VE) studies by performing a scoping review of booster VE literature with a focus on study design and analytic choices. We then applied 20 different approaches, including those found in the literature, to a single dataset from Michigan Medicine. We identified 80 studies in our review, including over 150 million observations in total. We found that while protection against infection is variable and dependent on several factors including the study population and time period, both monovalent boosters and particularly the bivalent booster offer strong protection against severe COVID-19. In addition, VE analyses with a severe disease outcome (hospitalization, intensive care unit admission, or death) appear to be more robust to design and analytic choices than an infection endpoint. In terms of design choices, we found that test-negative designs and their variants may offer advantages in statistical efficiency compared to cohort designs.
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Affiliation(s)
- Sabir Meah
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
- Department of Urology, Michigan Medicine, Ann Arbor, MI 48109, USA
| | - Xu Shi
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Lars G. Fritsche
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
- Center for Precision Health Data Science, University of Michigan, Ann Arbor, MI 48109, USA
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Maxwell Salvatore
- Center for Precision Health Data Science, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Abram Wagner
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Emily T. Martin
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Bhramar Mukherjee
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
- Center for Precision Health Data Science, University of Michigan, Ann Arbor, MI 48109, USA
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
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Kim RK, Choe YJ, Jang EJ, Chae C, Hwang JH, Lee KH, Shim JA, Kwon GY, Lee JY, Park YJ, Lee SW, Kwon D. Comparative Effectiveness of COVID-19 Bivalent Versus Monovalent mRNA Vaccines in the Early Stage of Bivalent Vaccination in Korea: October 2022 to January 2023. J Korean Med Sci 2023; 38:e396. [PMID: 38013649 PMCID: PMC10681846 DOI: 10.3346/jkms.2023.38.e396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 08/24/2023] [Indexed: 11/29/2023] Open
Abstract
BACKGROUND This retrospective observational matched-cohort study of 2,151,216 individuals from the Korean coronavirus disease 2019 (COVID-19) vaccine effectiveness cohort aimed to evaluate the comparative effectiveness of the COVID-19 bivalent versus monovalent vaccines in providing additional protection against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, critical infection, and death in Korea. METHODS Among individuals, those vaccinated with COVID-19 bivalent vaccines were matched in a 1:1 ratio with those who were vaccinated with monovalent vaccines (bivalent vaccines non-recipients) during the observation period. We fitted a time-dependent Cox proportional-hazards model to estimate hazard ratios (HRs) of COVID-19 outcomes for infection, critical infection, and death, and we defined vaccine effectiveness (VE) as 1-HR. RESULTS Compared with the bivalent vaccination group, the incidence proportions in the monovalent vaccination group were approximately three times higher for infection, nine times higher for critical infection, and 11 times higher for death. In the early stage of bivalent vaccination, relative VE of bivalent vaccine against monovalent vaccine was 42.4% against SARS-CoV-2 infection, 81.3% against critical infection, and 85.3% against death. In addition, VE against critical infection and death according to the elapsed period after bivalent vaccination was maintained at > 70%. CONCLUSION The bivalent booster dose provided additional protection against SARS-CoV-2 infections, critical infections, and deaths during the omicron variant phase of the COVID-19 pandemic.
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Affiliation(s)
- Ryu Kyung Kim
- Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Young June Choe
- Korea University Anam Hospital and Allergy and Immunology Center, Korea University, Seoul, Korea
| | - Eun Jung Jang
- Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Chungman Chae
- Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Ji Hae Hwang
- Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Kil Hun Lee
- Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Ji Ae Shim
- Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Geun-Yong Kwon
- Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Jae Young Lee
- Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Young-Joon Park
- Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Sang Won Lee
- Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Donghyok Kwon
- Korea Disease Control and Prevention Agency, Cheongju, Korea.
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Park HJ, Tan ST, León TM, Jain S, Schechter R, Lo NC. Predicting the Public Health Impact of Bivalent Vaccines and Nirmatrelvir-Ritonavir Against Coronavirus Disease 2019. Open Forum Infect Dis 2023; 10:ofad415. [PMID: 37674629 PMCID: PMC10478155 DOI: 10.1093/ofid/ofad415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 07/28/2023] [Indexed: 09/08/2023] Open
Abstract
Background Uptake of coronavirus disease 2019 (COVID-19) bivalent vaccines and the oral medication nirmatrelvir-ritonavir (Paxlovid) has remained low across the United States. Assessing the public health impact of increasing uptake of these interventions in key risk groups can guide further public health resources and policy and determine what proportion of severe COVID-19 is avertable with these interventions. Methods This modeling study used person-level data from the California Department of Public Health on COVID-19 cases, hospitalizations, deaths, and vaccine administration from 23 July 2022 to 23 January 2023. We used a quasi-Poisson regression model calibrated to recent historical data to predict future COVID-19 outcomes and modeled the impact of increasing uptake (up to 70% coverage) of bivalent COVID-19 vaccines and nirmatrelvir-ritonavir during acute illness in different risk groups. Risk groups were defined by age (≥50, ≥65, ≥75 years) and vaccination status (everyone, primary series only, previously vaccinated). We predicted the number of averted COVID-19 cases, hospitalizations, and deaths and number needed to treat (NNT). Results The model predicted that increased uptake of bivalent COVID-19 boosters and nirmatrelvir-ritonavir (up to 70% coverage) in all eligible persons could avert an estimated 15.7% (95% uncertainty interval [UI], 11.2%-20.7%; NNT: 17 310) and 23.5% (95% UI, 13.1%-30.0%; NNT: 67) of total COVID-19-related deaths, respectively. In the high-risk group of persons ≥65 years old alone, increased uptake of bivalent boosters and nirmatrelvir-ritonavir could avert an estimated 11.9% (95% UI, 8.4%-15.1%; NNT: 2757) and 22.8% (95% UI, 12.7%-29.2%; NNT: 50) of total COVID-19-related deaths, respectively. Conclusions These findings suggest that prioritizing uptake of bivalent boosters and nirmatrelvir-ritonavir among older age groups (≥65 years) would be most effective (based on NNT) but would not address the entire burden of severe COVID-19.
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Affiliation(s)
- Hailey J Park
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, California, USA
| | - Sophia T Tan
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, California, USA
| | - Tomás M León
- California Department of Public Health, Richmond, California, USA
| | - Seema Jain
- California Department of Public Health, Richmond, California, USA
| | - Robert Schechter
- California Department of Public Health, Richmond, California, USA
| | - Nathan C Lo
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, California, USA
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Lee JH, Hwang JH, Jang EJ, Kim RK, Lee KH, Park SK, Gwack J, Park YJ. Risk Factors Related to COVID-19 Reinfection and Fatality During the Omicron (BA.1/BA.2) Period in Korea. J Korean Med Sci 2023; 38:e269. [PMID: 37644683 PMCID: PMC10462479 DOI: 10.3346/jkms.2023.38.e269] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 04/20/2023] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND This study aimed to investigate the deaths due to coronavirus disease 2019 (COVID-19) reinfection and related risk factors. METHODS National cohort data were collected for a six-month period when omicron BA.1/BA.2 variant was dominant in South Korea. RESULTS The long-term care facility residents (adjusted odds ratio, 3.11; 95% confidence interval [CI], 2.98-3.25) had significantly higher risk of reinfection than the general population. The risk of reinfection was significantly lower for persons with 2 or more vaccine doses compared to the unvaccinated. The risk of death was significantly higher in the reinfection group than in the primary infection group for persons in the 60-74 years age group (adjusted relative risk [aRR], 1.62; 95% CI, 1.19-2.20), and immunocompromised group (aRR, 4.56; 95% CI, 2.34-8.90). CONCLUSION In these data, vaccination history was significantly related to reduced COVID-19 reinfection and severe progression, and scheduled vaccinations were important even with a history of infection.
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Affiliation(s)
- Ju Hee Lee
- Division of Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Ji Hae Hwang
- Division of Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Eun Jung Jang
- Division of Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Ryu Kyung Kim
- Division of Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Kil Hun Lee
- Division of Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Seon Kyeong Park
- Division of Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Jin Gwack
- Division of Infectious Disease Control, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Young Joon Park
- Division of Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea.
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Meah S, Shi X, Fritsche LG, Salvatore M, Wagner A, Martin ET, Mukherjee B. Design and Analysis Heterogeneity in Observational Studies of COVID-19 Booster Effectiveness: A Review and Case Study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.22.23291692. [PMID: 37425863 PMCID: PMC10327238 DOI: 10.1101/2023.06.22.23291692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
Background Observational vaccine effectiveness (VE) studies based on real-world data are a crucial supplement to initial randomized clinical trials of Coronavirus Disease 2019 (COVID-19) vaccines. However, there exists substantial heterogeneity in study designs and statistical methods for estimating VE. The impact of such heterogeneity on VE estimates is not clear. Methods We conducted a two-step literature review of booster VE: a literature search for first or second monovalent boosters on January 1, 2023, and a rapid search for bivalent boosters on March 28, 2023. For each study identified, study design, methods, and VE estimates for infection, hospitalization, and/or death were extracted and summarized via forest plots. We then applied methods identified in the literature to a single dataset from Michigan Medicine (MM), providing a comparison of the impact of different statistical methodologies on the same dataset. Results We identified 53 studies estimating VE of the first booster, 16 for the second booster. Of these studies, 2 were case-control, 17 were test-negative, and 50 were cohort studies. Together, they included nearly 130 million people worldwide. VE for all outcomes was very high (around 90%) in earlier studies (i.e., in 2021), but became attenuated and more heterogeneous over time (around 40%-50% for infection, 60%-90% for hospitalization, and 50%-90% for death). VE compared to the previous dose was lower for the second booster (10-30% for infection, 30-60% against hospitalization, and 50-90% against death). We also identified 11 bivalent booster studies including over 20 million people. Early studies of the bivalent booster showed increased effectiveness compared to the monovalent booster (VE around 50-80% for hospitalization and death).Our primary analysis with MM data using a cohort design included 186,495 individuals overall (including 153,811 boosted and 32,684 with only a primary series vaccination), and a secondary test-negative design included 65,992 individuals tested for SARS-CoV-2. When different statistical designs and methods were applied to MM data, VE estimates for hospitalization and death were robust to analytic choices, with test-negative designs leading to narrower confidence intervals. Adjusting either for the propensity of getting boosted or directly adjusting for covariates reduced the heterogeneity across VE estimates for the infection outcome. Conclusion While the advantage of the second monovalent booster is not obvious from the literature review, the first monovalent booster and the bivalent booster appear to offer strong protection against severe COVID-19. Based on both the literature view and data analysis, VE analyses with a severe disease outcome (hospitalization, ICU admission, or death) appear to be more robust to design and analytic choices than an infection endpoint. Test-negative designs can extend to severe disease outcomes and may offer advantages in statistical efficiency when used properly.
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Affiliation(s)
- Sabir Meah
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Xu Shi
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Lars G. Fritsche
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
- Center for Precision Health Data Science, University of Michigan, Ann Arbor, MI 48109, USA
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Maxwell Salvatore
- Center for Precision Health Data Science, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Abram Wagner
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Emily T. Martin
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Bhramar Mukherjee
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
- Center for Precision Health Data Science, University of Michigan, Ann Arbor, MI 48109, USA
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
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9
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Jang EJ, Choe YJ, Yun GW, Kim RK, Park SK, Lee JH, Lee KH, Yi S, Lee S, Park YJ. Age-specific Risk of SARS-CoV-2 Reinfection During Omicron Outbreaks, South Korea. Pediatr Infect Dis J 2023; Publish Ahead of Print:00006454-990000000-00457. [PMID: 37235758 PMCID: PMC10348414 DOI: 10.1097/inf.0000000000003960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
We assessed the risk of reinfection among all residents in South Korea who tested positive for coronavirus disease 2019 from January to August 2022. Children 5-11 years [adjusted hazard ratio (aHR) = 2.20], and 12-17 years old (aHR = 2.00), were at higher risk; whereas 3-dose vaccination (aHR = 0.20) lowered the risk of reinfection.
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Affiliation(s)
- Eun Jung Jang
- From the Director for Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Young June Choe
- Department of Pediatrics, Korea University Anam Hospital, Seoul, Korea
| | - Go-Woon Yun
- From the Director for Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Ryu Kyung Kim
- From the Director for Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Sun Kyeng Park
- From the Director for Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Ju Hee Lee
- From the Director for Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Kil Hun Lee
- From the Director for Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Seonju Yi
- From the Director for Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Sangwon Lee
- From the Director for Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea
| | - Young-Joon Park
- From the Director for Epidemiological Investigation Analysis, Korea Disease Control and Prevention Agency, Cheongju, Korea
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Park HJ, Tan ST, León TM, Jain S, Schechter R, Lo NC. Predicting the public health impact of bivalent vaccines and nirmatrelvir-ritonavir against COVID-19. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.05.18.23289533. [PMID: 37292707 PMCID: PMC10246024 DOI: 10.1101/2023.05.18.23289533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Background Uptake of COVID-19 bivalent vaccines and oral medication nirmatrelvir-ritonavir (Paxlovid) has remained low across the United States. Assessing the public health impact of increasing uptake of these interventions in key risk groups can guide further public health resources and policy. Methods This modeling study used person-level data from the California Department of Public Health on COVID-19 cases, hospitalizations, deaths, and vaccine administration from July 23, 2022 to January 23, 2023. We modeled the impact of additional uptake of bivalent COVID-19 vaccines and nirmatrelvir-ritonavir during acute illness in different risk groups defined by age (50+, 65+, 75+ years) and vaccination status (everyone, primary series only, previously vaccinated). We predicted the number of averted COVID-19 cases, hospitalizations, and deaths and number needed to treat (NNT). Results For both bivalent vaccines and nirmatrelvir-ritonavir, the most efficient strategy (based on NNT) for averting severe COVID-19 was targeting the 75+ years group. We predicted that perfect coverage of bivalent boosters in the 75+ years group would avert 3,920 hospitalizations (95%UI: 2,491-4,882; 7.8% total averted; NNT 387) and 1,074 deaths (95%UI: 774-1,355; 16.2% total averted; NNT 1,410). Perfect uptake of nirmatrelvir-ritonavir in the 75+ years group would avert 5,644 hospitalizations (95%UI: 3,947-6,826; 11.2% total averted; NNT 11) and 1,669 deaths (95%UI: 1,053-2,038; 25.2% total averted; NNT 35). Conclusions These findings suggest prioritizing uptake of bivalent boosters and nirmatrelvir-ritonavir among the oldest age groups would be efficient and have substantial public health impact in reducing the burden of severe COVID-19, but would not address the entire burden of severe COVID-19.
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Affiliation(s)
- Hailey J. Park
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Sophia T. Tan
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Tomás M. León
- California Department of Public Health, Richmond, CA, USA
| | - Seema Jain
- California Department of Public Health, Richmond, CA, USA
| | | | - Nathan C. Lo
- Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
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Nugent C, Abul Y, White EM, Shehadeh F, Kaczynski M, Oscar Felix L, Ganesan N, Oyebanji OA, Vishnepolskiy I, Didion EM, Paxitzis A, Sheehan ML, Chan PA, Pfeifer WM, Dickerson E, Kamojjala S, Wilson BM, Mylonakis E, King CL, Balazs AB, Canaday DH, Gravenstein S. Second monovalent SARS-CoV-2 mRNA booster restores Omicron-specific neutralizing activity in both nursing home residents and health care workers. Vaccine 2023; 41:3403-3409. [PMID: 37117056 PMCID: PMC10123357 DOI: 10.1016/j.vaccine.2023.04.034] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 04/04/2023] [Accepted: 04/11/2023] [Indexed: 04/30/2023]
Abstract
We examined whether the second monovalent SARS-CoV-2 mRNA booster increased antibody levels and their neutralizing activity to Omicron variants in nursing home residents (NH) residents and healthcare workers (HCW). We sampled 376 NH residents and 63 HCW after primary mRNA vaccination, first and second boosters, for antibody response and pseudovirus neutralization assay against SARS-CoV-2 wild-type (WT) (Wuhan-Hu-1) strain, Omicron BA.1 and BA.5 variants. Antibody levels and neutralizing activity progressively increased with each booster but subsequently waned over 3-6 months. NH residents, both those without and with prior infection, had a robust geometric mean fold rise (GMFR) of 8.1 (95% CI 4.4, 14.8) and 7.8 (95% CI 4.8, 12.9) respectively in Omicron-BA.1 subvariant specific neutralizing antibody levels following the second booster vaccination (p < 0.001). These results support the ongoing efforts to ensure that both NH residents and HCW are up-to-date on recommended SARS-CoV-2 vaccine booster doses.
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Affiliation(s)
- Clare Nugent
- Division of Geriatrics and Palliative Medicine, Alpert Medical School of Brown University, Providence, RI, United States
| | - Yasin Abul
- Division of Geriatrics and Palliative Medicine, Alpert Medical School of Brown University, Providence, RI, United States; Center on Innovation in Long-Term Services and Supports, Providence Veterans Administration Medical Center, Providence, RI, United States; Brown University School of Public Health Center for Gerontology and Healthcare Research, Providence, RI, United States
| | - Elizabeth M White
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, United States
| | - Fadi Shehadeh
- Division of Infectious Diseases, Alpert Medical School of Brown University, Providence, RI, United States
| | - Matthew Kaczynski
- Division of Infectious Diseases, Alpert Medical School of Brown University, Providence, RI, United States
| | - Lewis Oscar Felix
- Division of Infectious Diseases, Alpert Medical School of Brown University, Providence, RI, United States
| | - Narchonai Ganesan
- Division of Infectious Diseases, Alpert Medical School of Brown University, Providence, RI, United States
| | - Oladayo A Oyebanji
- Case Western Reserve University School of Medicine, Cleveland, OH, United States
| | - Igor Vishnepolskiy
- Division of Geriatrics and Palliative Medicine, Alpert Medical School of Brown University, Providence, RI, United States; Center on Innovation in Long-Term Services and Supports, Providence Veterans Administration Medical Center, Providence, RI, United States
| | - Elise M Didion
- Geriatric Research, Education and Clinical Center, VA Northeast Ohio Healthcare System, Cleveland VA, United States
| | - Alexandra Paxitzis
- Case Western Reserve University School of Medicine, Cleveland, OH, United States
| | - Maegan L Sheehan
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, United States
| | - Philip A Chan
- Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, United States
| | | | - Evan Dickerson
- Division of Geriatrics and Palliative Medicine, Alpert Medical School of Brown University, Providence, RI, United States; Center on Innovation in Long-Term Services and Supports, Providence Veterans Administration Medical Center, Providence, RI, United States
| | - Shreya Kamojjala
- Division of Geriatrics and Palliative Medicine, Alpert Medical School of Brown University, Providence, RI, United States
| | - Brigid M Wilson
- Case Western Reserve University School of Medicine, Cleveland, OH, United States; Geriatric Research, Education and Clinical Center, VA Northeast Ohio Healthcare System, Cleveland VA, United States
| | - Eleftherios Mylonakis
- Division of Infectious Diseases, Alpert Medical School of Brown University, Providence, RI, United States
| | - Christopher L King
- Case Western Reserve University School of Medicine, Cleveland, OH, United States
| | | | - David H Canaday
- Case Western Reserve University School of Medicine, Cleveland, OH, United States; Geriatric Research, Education and Clinical Center, VA Northeast Ohio Healthcare System, Cleveland VA, United States.
| | - Stefan Gravenstein
- Division of Geriatrics and Palliative Medicine, Alpert Medical School of Brown University, Providence, RI, United States; Center on Innovation in Long-Term Services and Supports, Providence Veterans Administration Medical Center, Providence, RI, United States; Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, United States.
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