101
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Samama M, Entezami F, Rosa DS, Sartor A, Piscopo RCCP, Andersen ML, Cunha-Filho JS, Jarmy-Di-Bella ZIK. COVID-19: A Challenge to the Safety of Assisted Reproduction. Sleep Med Clin 2023; 18:489-497. [PMID: 38501521 PMCID: PMC10288308 DOI: 10.1016/j.jsmc.2023.06.012] [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: 03/20/2024]
Abstract
There is an increased risk of becoming pregnant through fertility treatments using assisted reproductive technology (ART) during the COVID-19 pandemic. The aim of this review is to gather comprehensive data from the existing literature on the potential risks of fertility management during the pandemic period, and outline strategies to mitigate them, with a focus on the hormonal and surgical procedures of ART. A comprehensive search of the scientific literature on COVID-19 in relation to fertility was conducted in the PubMed database using the keywords "coronavirus," "COVID-19," "SARS-CoV-2" and "pregnancy," "fertility," "urogenital system," "vertical transmission," "assisted human reproduction," "controlled ovarian stimulation," "oocyte retrieval," "in vitro fertilization," "hormones," "surgical procedures," "embryos," "oocytes," "sperm," "semen," "ovary," "testis," "ACE-2 receptor," "immunology," "cytokine storm," and "coagulation," from January 2020-July 2022. Published data on pregnancy and COVID-19, and the interaction of the urogenital system and SARS-CoV-2 is reported. The immunologic and prothrombotic profiles of patients with COVID-19, and their increased risks from controlled ovarian stimulation (COS) and ART surgeries, and how these procedures could facilitate COVID-19 and/or contribute to the severity of the disease by enhancing the cytokine storm are summarized. Strategies to prevent complications during COS that could increase the risks of the disease in pre-symptomatic patients are considered. The impact of SARS-CoV-2 on pre-symptomatic infertile patients presents a challenge to find ways to avoid the increased hormonal, immunologic, and prothrombotic risks presented by the use of COS in ART protocols during the COVID-19 outbreak. Safe ART procedures and recommendations are highlighted.
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Affiliation(s)
- Marise Samama
- Department of Gynecology, Federal University of São Paulo, São Paulo, Brazil; GERA Institute of Reproductive Medicine, São Paulo, Brazil.
| | - Frida Entezami
- American Hospital of Paris, IVF Unit, Neuilly-Sur-Seine, France
| | - Daniela S Rosa
- Department of Microbiology, Immunology and Parasitology, Federal University of São Paulo, São Paulo, Brazil
| | - Amanda Sartor
- GERA Institute of Reproductive Medicine, São Paulo, Brazil; Department of Psychobiology, Federal University of São Paulo, São Paulo, Brazil
| | | | - Monica L Andersen
- Department of Psychobiology, Federal University of São Paulo, São Paulo, Brazil
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102
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Yan P, Mullah MAS, Tuite A. A proportional incidence rate model for aggregated data to study the vaccine effectiveness against COVID-19 hospital and ICU admissions. Biometrics 2023; 79:3954-3967. [PMID: 37561066 DOI: 10.1111/biom.13915] [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: 05/17/2022] [Accepted: 07/10/2023] [Indexed: 08/11/2023]
Abstract
We develop a proportional incidence model that estimates vaccine effectiveness (VE) at the population level using conditional likelihood for aggregated data. Our model assumes that the population counts of clinical outcomes for an infectious disease arise from a superposition of Poisson processes with different vaccination statuses. The intensity function in the model is calculated as the product of per capita incidence rate and the at-risk population size, both of which are time-dependent. We formulate a log-linear regression model with respect to the relative risk, defined as the ratio between the per capita incidence rates of vaccinated and unvaccinated individuals. In the regression analysis, we treat the baseline incidence rate as a nuisance parameter, similar to the Cox proportional hazard model in survival analysis. We then apply the proposed models and methods to age-stratified weekly counts of COVID-19-related hospital and ICU admissions among adults in Ontario, Canada. The data spanned from 2021 to February 2022, encompassing the Omicron era and the rollout of booster vaccine doses. We also discuss the limitations and confounding effects while advocating for the necessity of more comprehensive and up-to-date individual-level data that document the clinical outcomes and measure potential confounders.
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Affiliation(s)
- Ping Yan
- Infectious Disease Programs Branch, Public Health Agency of Canada, Ottawa, Ontario, Canada
- Department of Statistics and Actuarial Science, University of Waterloo, Ontario, Canada
| | - Muhammad Abu Shadeque Mullah
- Infectious Disease Programs Branch, Public Health Agency of Canada, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ontario, Canada
| | - Ashleigh Tuite
- Dalla Lana School of Public Health, University of Toronto, Ontario, Canada
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103
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Hejazi NS, Shen X, Carpp LN, Benkeser D, Follmann D, Janes HE, Baden LR, El Sahly HM, Deng W, Zhou H, Leav B, Montefiori DC, Gilbert PB. Stochastic interventional approach to assessing immune correlates of protection: Application to the COVE messenger RNA-1273 vaccine trial. Int J Infect Dis 2023; 137:28-39. [PMID: 37820782 PMCID: PMC10841741 DOI: 10.1016/j.ijid.2023.09.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 08/30/2023] [Accepted: 09/17/2023] [Indexed: 10/13/2023] Open
Abstract
BACKGROUND Stochastic interventional vaccine efficacy (SVE) analysis is a new approach to correlate of protection (CoP) analysis of a phase III trial that estimates how vaccine efficacy (VE) would change under hypothetical shifts of an immune marker. METHODS We applied nonparametric SVE methodology to the COVE trial of messenger RNA-1273 vs placebo to evaluate post-dose 2 pseudovirus neutralizing antibody (nAb) titer against the D614G strain as a CoP against COVID-19. Secondly, we evaluated the ability of these results to predict VE against variants based on shifts of geometric mean titers to variants vs D614G. Prediction accuracy was evaluated by 13 validation studies, including 12 test-negative designs. RESULTS SVE analysis of COVE supported post-dose 2 D614G titer as a CoP: estimated VE ranged from 66.9% (95% confidence interval: 36.2, 82.8%) to 99.3% (99.1, 99.4%) at 10-fold decreased or increased titer shifts, respectively. The SVE estimates only weakly predicted variant-specific VE estimates (concordance correlation coefficient 0.062 for post 2-dose VE). CONCLUSION SVE analysis of COVE supports nAb titer as a CoP for messenger RNA vaccines. Predicting variant-specific VE proved difficult due to many limitations. Greater anti-Omicron titers may be needed for high-level protection against Omicron vs anti-D614G titers needed for high-level protection against pre-Omicron COVID-19.
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Affiliation(s)
- Nima S Hejazi
- Department of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, USA
| | - Xiaoying Shen
- Department of Surgery and Duke Human Vaccine Institute, Duke University Medical Center, Durham, USA
| | - Lindsay N Carpp
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, USA
| | - David Benkeser
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Dean Follmann
- Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, USA
| | - Holly E Janes
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, USA; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, USA; Department of Biostatistics, University of Washington, Seattle, USA
| | - Lindsey R Baden
- Division of Infectious Diseases, Harvard Medical School, Brigham and Women's Hospital, Boston, USA
| | - Hana M El Sahly
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, USA
| | - Weiping Deng
- Infectious Disease Development, Moderna, Inc., Cambridge, USA
| | - Honghong Zhou
- Infectious Disease Development, Moderna, Inc., Cambridge, USA
| | - Brett Leav
- Infectious Disease Development, Moderna, Inc., Cambridge, USA
| | - David C Montefiori
- Department of Surgery and Duke Human Vaccine Institute, Duke University Medical Center, Durham, USA
| | - Peter B Gilbert
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, USA; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, USA; Department of Biostatistics, University of Washington, Seattle, USA.
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104
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Kirsebom FCM, Harman K, Lunt RJ, Andrews N, Groves N, Abdul Aziz N, Hope R, Stowe J, Chand M, Ramsay M, Dabrera G, Kall M, Bernal JL. Vaccine effectiveness against hospitalisation estimated using a test-negative case-control study design, and comparative odds of hospital admission and severe outcomes with COVID-19 sub-lineages BQ.1, CH.1.1. and XBB.1.5 in England. THE LANCET REGIONAL HEALTH. EUROPE 2023; 35:100755. [PMID: 38115965 PMCID: PMC10730318 DOI: 10.1016/j.lanepe.2023.100755] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 09/28/2023] [Accepted: 10/02/2023] [Indexed: 12/21/2023]
Abstract
Background Since the first emergence of Omicron BA.1 in England in November 2021, numerous sub-lineages have evolved. In September 2022, BA.5 dominated. The prevalence of BQ.1 increased from October, while the prevalence of CH.1.1 and XBB.1.5 increased from December 2022 and January 2023, respectively. Little is known about the effectiveness of the vaccines against hospitalisation with these sub-lineages, nor the relative severity, so we here used national-level electronic health records from England to estimate vaccine effectiveness and variant severity. Methods The study period for tests contributing to all analyses was from 5th December 2022 to 2nd April 2023, when the variants of interest were co-circulating. A test-negative case-control study was used to estimate the incremental effectiveness of the bivalent BA.1 booster vaccines against hospitalisation, relative to those with waned immunity where the last dose was at least 6 months prior. The odds of hospital admission for those testing PCR positive on the day of an attendance to accident and emergency departments and the odds of intensive care unit admission or death amongst COVID-19 admissions were compared between variants. Additionally, a Cox proportional hazards survival regression was used to investigate length of stay amongst hospitalised cases by variant. Findings Our vaccine effectiveness study included 191,229 eligible tests with 1647 BQ.1 cases, 877 CH.1.1 cases, 1357 XBB.1.5 cases and 187,348 test negative controls. There was no difference in incremental vaccine effectiveness against hospitalisation with BQ.1, CH.1.1 or XBB.1.5, nor was there a difference in the severity of these variants. Effectiveness against hospitalisation was 48.0% (95% C.I.; 38.5-56.0%), 29.7% (95% C.I.; 7.5-46.6%) and 52.7% (95% C.I.; 24.6-70.4%) against BQ.1, CH.1.1 and XBB.1.5, respectively, at 5-9 weeks post booster vaccination. Compared to BQ.1, the odds of hospital admission were 0.87 (95% C.I.; 0.77-0.99) and 0.88 (95% C.I.; 0.75-1.02) for CH.1.1 and XBB.1.5 cases attending accident and emergency departments, respectively. There was no significant difference in the odds of admission to intensive care units or death for those with CH.1.1 (OR 0.96, 95% C.I.; 0.71-1.30) or XBB.1.5 (OR 0.67, 95% C.I.; 0.44-1.02) compared to BQ.1. There was also no significant difference in the length of hospital stay by variant. Interpretation Together, these results provide reassuring evidence that the bivalent BA.1 booster vaccines provide similar protection against hospitalisation with BQ.1, CH.1.1 and XBB.1.5, and that the emergent CH.1.1 and XBB.1.5 sub-lineages do not cause more severe disease than BQ.1. Funding None.
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Affiliation(s)
| | - Katie Harman
- UK Health Security Agency, London, United Kingdom
| | | | - Nick Andrews
- UK Health Security Agency, London, United Kingdom
- NIHR Health Protection Research Unit in Vaccines and Immunisation, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | | | | | - Russell Hope
- UK Health Security Agency, London, United Kingdom
| | - Julia Stowe
- UK Health Security Agency, London, United Kingdom
| | - Meera Chand
- UK Health Security Agency, London, United Kingdom
- Guys and St Thomas’s Hospital NHS Trust, London, United Kingdom
| | - Mary Ramsay
- UK Health Security Agency, London, United Kingdom
- NIHR Health Protection Research Unit in Vaccines and Immunisation, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | | | - Meaghan Kall
- UK Health Security Agency, London, United Kingdom
| | - Jamie Lopez Bernal
- UK Health Security Agency, London, United Kingdom
- NIHR Health Protection Research Unit in Vaccines and Immunisation, London School of Hygiene and Tropical Medicine, London, United Kingdom
- NIHR Health Protection Research Unit in Respiratory Infections, Imperial College London, London, United Kingdom
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105
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Dietler D, Kahn F, Inghammar M, Björk J. Waning protection after vaccination and prior infection against COVID-19-related mortality over 18 months. Clin Microbiol Infect 2023; 29:1573-1580. [PMID: 37580016 DOI: 10.1016/j.cmi.2023.08.007] [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: 03/29/2023] [Revised: 08/04/2023] [Accepted: 08/07/2023] [Indexed: 08/16/2023]
Abstract
OBJECTIVES Evidence on waning patterns in protection from vaccine-induced, infection-induced, and hybrid immunity against death is scarce. The aim of this study is to assess the temporal trends in protection against mortality. METHODS Population-based case-control study nested in the total population of Scania Region, Sweden using individual-level registry data of COVID-19-related deaths (<30 days after positive SARS-CoV-2 test) between 27 December 2020 and 3 June 2022. Controls were matched for age, sex, and index date. Conditional logistic regression was used to estimate the preventable fraction (PF) from vaccination (PFvac corresponding to vaccine effectiveness; ≥2 vaccine doses vs. 0 doses), prior infection (PFinf), and hybrid immunity (PFhybrid). PF was calculated as one minus odds ratio. Models were adjusted for comorbidities, long-term care facility residence, prior infection (for PFvac), country of birth, socio-economic conditions, and time since last vaccination (for PFinf). RESULTS In total, 14 936 individuals (1440 COVID-19-related deaths and 13 496 controls) were included in the case-control analyses (45% females, median age: 84 years). PFvac was above 90% during the first month after vaccination, regardless of the number of vaccine doses. After 6 months, PFvac of two doses waned to 34% (95% CI: -30% to 66%). PFinf for people surviving a SARS-CoV-2 infection waned from 88% (-16% to 99%) 3 months after infection to 62% (34-79%) after 9 months. No differences in waning patterns in PFvac were seen between virus variants, gender, and age. DISCUSSION Given the waning of protection against death, continuous surveillance of population immunity status, particularly among the most vulnerable population groups, could help to further fine-tune vaccination recommendations.
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Affiliation(s)
- Dominik Dietler
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden.
| | - Fredrik Kahn
- Department of Clinical Sciences Lund, Section for Infection Medicine, Skåne University Hospital, Lund University, Lund, Sweden
| | - Malin Inghammar
- Department of Clinical Sciences Lund, Section for Infection Medicine, Skåne University Hospital, Lund University, Lund, Sweden
| | - Jonas Björk
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden; Clinical Studies Sweden, Forum South, Skåne University Hospital, Lund, Sweden
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106
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Hessel SS, Dwivany FM, Zainuddin IM, Wikantika K, Celik I, Emran TB, Tallei TE. A computational simulation appraisal of banana lectin as a potential anti-SARS-CoV-2 candidate by targeting the receptor-binding domain. J Genet Eng Biotechnol 2023; 21:148. [PMID: 38015308 PMCID: PMC10684481 DOI: 10.1186/s43141-023-00569-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 10/26/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND The ongoing concern surrounding coronavirus disease 2019 (COVID-19) primarily stems from continuous mutations in the genome of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), leading to the emergence of numerous variants. The receptor-binding domain (RBD) in the S1 subunit of the S protein of the virus plays a crucial role in recognizing the host's angiotensin-converting enzyme 2 (hACE2) receptor and facilitating cell membrane fusion processes, making it a potential target for preventing viral entrance into cells. This research aimed to determine the potential of banana lectin (BanLec) proteins to inhibit SARS-CoV-2 attachment to host cells by interacting with RBD through computational modeling. MATERIALS AND METHODS The BanLecs were selected through a sequence analysis process. Subsequently, the genes encoding BanLec proteins were retrieved from the Banana Genome Hub database. The FGENESH online tool was then employed to predict protein sequences, while web-based tools were utilized to assess the physicochemical properties, allergenicity, and toxicity of BanLecs. The RBDs of SARS-CoV-2 were modeled using the SWISS-MODEL in the following step. Molecular docking procedures were conducted with the aid of ClusPro 2.0 and HDOCK web servers. The three-dimensional structures of the docked complexes were visualized using PyMOL. Finally, molecular dynamics simulations were performed to investigate and validate the interactions of the complexes exhibiting the highest interactions, facilitating the simulation of their dynamic properties. RESULTS The BanLec proteins were successfully modeled based on the RNA sequences from two species of banana (Musa sp.). Moreover, an amino acid modification in the BanLec protein was made to reduce its mitogenicity. Theoretical allergenicity and toxicity predictions were conducted on the BanLecs, which suggested they were likely non-allergenic and contained no discernible toxic domains. Molecular docking analysis demonstrated that both altered and wild-type BanLecs exhibited strong affinity with the RBD of different SARS-CoV-2 variants. Further analysis of the molecular docking results showed that the BanLec proteins interacted with the active site of RBD, particularly the key amino acids residues responsible for RBD's binding to hACE2. Molecular dynamics simulation indicated a stable interaction between the Omicron RBD and BanLec, maintaining a root-mean-square deviation (RMSD) of approximately 0.2 nm for a duration of up to 100 ns. The individual proteins also had stable structural conformations, and the complex demonstrated a favorable binding-free energy (BFE) value. CONCLUSIONS These results confirm that the BanLec protein is a promising candidate for developing a potential therapeutic agent for combating COVID-19. Furthermore, the results suggest the possibility of BanLec as a broad-spectrum antiviral agent and highlight the need for further studies to examine the protein's safety and effectiveness as a potent antiviral agent.
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Affiliation(s)
- Sofia Safitri Hessel
- School of Life Sciences and Technology, Institut Teknologi Bandung, Bandung, West Java, 40132, Indonesia
| | - Fenny Martha Dwivany
- School of Life Sciences and Technology, Institut Teknologi Bandung, Bandung, West Java, 40132, Indonesia.
| | - Ima Mulyama Zainuddin
- Department of Biosystems, KU Leuven, Willem de Croylaan 42 box 2455, B-3001, Leuven, Belgium
| | - Ketut Wikantika
- Remote Sensing and Geographical Information Science Research Group, Faculty of Earth Science and Technology (FITB), Institut Teknologi Bandung, Bandung, West Java, 40132, Indonesia
| | - Ismail Celik
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Erciyes University, 38039, Kayseri, Turkey
| | - Talha Bin Emran
- Department of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Providence, RI 02912, USA
- Department of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka, 1207, Bangladesh
- Legorreta Cancer Center, Brown University, Providence, RI 02912, USA
| | - Trina Ekawati Tallei
- Department of Biology, Faculty of Mathematics and Natural Sciences, Sam Ratulangi University, Manado, North Sulawesi, 95115, Indonesia.
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107
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Raineri A, Radtke T, Rueegg S, Haile SR, Menges D, Ballouz T, Ulyte A, Fehr J, Cornejo DL, Pantaleo G, Pellaton C, Fenwick C, Puhan MA, Kriemler S. Persistent humoral immune response in youth throughout the COVID-19 pandemic: prospective school-based cohort study. Nat Commun 2023; 14:7764. [PMID: 38012137 PMCID: PMC10682435 DOI: 10.1038/s41467-023-43330-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 11/06/2023] [Indexed: 11/29/2023] Open
Abstract
Understanding the development of humoral immune responses of children and adolescents to SARS-CoV-2 is essential for designing effective public health measures. Here we examine the changes of humoral immune response in school-aged children and adolescents during the COVID-19 pandemic (June 2020 to July 2022), with a specific interest in the Omicron variant (beginning of 2022). In our study "Ciao Corona", we assess in each of the five testing rounds between 1874 and 2500 children and adolescents from 55 schools in the canton of Zurich with a particular focus on a longitudinal cohort (n=751). By July 2022, 96.9% (95% credible interval 95.3-98.1%) of children and adolescents have SARS-CoV-2 anti-spike IgG (S-IgG) antibodies. Those with hybrid immunity or vaccination have higher S-IgG titres and stronger neutralising responses against Wildtype, Delta and Omicron BA.1 variants compared to those infected but unvaccinated. S-IgG persist over 18 months in 93% of children and adolescents. During the study period one adolescent was hospitalised for less than 24 hours possibly related to an acute SARS-CoV-2 infection. These findings show that the Omicron wave and the rollout of vaccines boosted S-IgG titres and neutralising capacity. Trial registration number: NCT04448717. https://clinicaltrials.gov/ct2/show/NCT04448717 .
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Affiliation(s)
- Alessia Raineri
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zürich, Zurich, Switzerland
| | - Thomas Radtke
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zürich, Zurich, Switzerland
| | - Sonja Rueegg
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zürich, Zurich, Switzerland
| | - Sarah R Haile
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zürich, Zurich, Switzerland
| | - Dominik Menges
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zürich, Zurich, Switzerland
| | - Tala Ballouz
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zürich, Zurich, Switzerland
| | - Agne Ulyte
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zürich, Zurich, Switzerland
| | - Jan Fehr
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zürich, Zurich, Switzerland
| | - Daniel L Cornejo
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zürich, Zurich, Switzerland
| | - Giuseppe Pantaleo
- Service of Immunology and Allergy, Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland
| | - Céline Pellaton
- Service of Immunology and Allergy, Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland
| | - Craig Fenwick
- Service of Immunology and Allergy, Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland
| | - Milo A Puhan
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zürich, Zurich, Switzerland
| | - Susi Kriemler
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Hirschengraben 84, 8001 Zürich, Zurich, Switzerland.
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108
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Maniscalco L, Genovese D, Ravazzolo B, Vella G, Sparacia B, Vitale F, Matranga D, Amodio E. Low Risk of SARS-CoV-2 Reinfection for Fully or Boosted mRNA Vaccinated Subjects in Sicily: A Population-Based Study Using Real-World Data. Vaccines (Basel) 2023; 11:1757. [PMID: 38140163 PMCID: PMC10748171 DOI: 10.3390/vaccines11121757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 11/22/2023] [Accepted: 11/23/2023] [Indexed: 12/24/2023] Open
Abstract
Background: Reinfections occur as a response to natural infections wanes and novel strains of SARS-CoV-2 emerge. The present research explored the correlation between sex, age, COVID-19 vaccination, prior infection hospitalization, and SARS-CoV-2 reinfection in Sicily, Italy. Materials and Methods: A population-based retrospective cohort study was articulated using the vaccination flux from a regional registry and the Sicilian COVID-19 monitoring system of the Italian Institute of Health. Only adult Sicilians were included in the study, and hazard ratios were calculated using Cox regression. Results: Partial vaccination provided some protection (adj-HR: 0.92), when compared to unvaccinated individuals; furthermore, reinfection risk was reduced by full vaccination (adj-HR: 0.43), and the booster dose (adj-HR: 0.41). Males had a lower risk than females of reinfection with SARS-CoV-2 (adj-HR: 0.75). Reinfection with SARS-CoV-2 was diminished by hospitalization during the first infection (adj-HR: 0.78). Reinfection risk was higher among those aged 30-39 and 40-49 compared to those aged 18-29, whereas those aged 60-69, 70-79, and 80+ were statistically protected. Reinfection was significantly more frequent during the wild-type-Alpha, Delta, Delta-Omicron, and Omicron dominance/codominance waves compared to the wild type. Conclusions: This study establishes a solid base for comprehending the reinfection phenomenon in Sicily by pinpointing the most urgent policy hurdles and identifying some of the major factors. COVID-19 vaccination, one of the most effective public health tools, protects against reinfection, mostly caused by the Omicron strain. Elderly and hospitalized people's lower risk suggests stricter PPE use.
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Affiliation(s)
- Laura Maniscalco
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties “G. D’Alessandro” (PROMISE), University of Palermo, Via del Vespro 133, 90127 Palermo, Italy; (L.M.); (G.V.); (B.S.); (F.V.); (D.M.); (E.A.)
| | - Dario Genovese
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties “G. D’Alessandro” (PROMISE), University of Palermo, Via del Vespro 133, 90127 Palermo, Italy; (L.M.); (G.V.); (B.S.); (F.V.); (D.M.); (E.A.)
| | - Barbara Ravazzolo
- Unità Operativa Complessa di Epidemiologia Clinica con Registro Tumori, Azienda Ospedaliera Universitaria Policlinico “Paolo Giaccone”, 90127 Palermo, Italy;
| | - Giuseppe Vella
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties “G. D’Alessandro” (PROMISE), University of Palermo, Via del Vespro 133, 90127 Palermo, Italy; (L.M.); (G.V.); (B.S.); (F.V.); (D.M.); (E.A.)
| | - Benedetta Sparacia
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties “G. D’Alessandro” (PROMISE), University of Palermo, Via del Vespro 133, 90127 Palermo, Italy; (L.M.); (G.V.); (B.S.); (F.V.); (D.M.); (E.A.)
| | - Francesco Vitale
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties “G. D’Alessandro” (PROMISE), University of Palermo, Via del Vespro 133, 90127 Palermo, Italy; (L.M.); (G.V.); (B.S.); (F.V.); (D.M.); (E.A.)
- Unità Operativa Complessa di Epidemiologia Clinica con Registro Tumori, Azienda Ospedaliera Universitaria Policlinico “Paolo Giaccone”, 90127 Palermo, Italy;
| | - Domenica Matranga
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties “G. D’Alessandro” (PROMISE), University of Palermo, Via del Vespro 133, 90127 Palermo, Italy; (L.M.); (G.V.); (B.S.); (F.V.); (D.M.); (E.A.)
| | - Emanuele Amodio
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties “G. D’Alessandro” (PROMISE), University of Palermo, Via del Vespro 133, 90127 Palermo, Italy; (L.M.); (G.V.); (B.S.); (F.V.); (D.M.); (E.A.)
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109
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Alghamdi A, Wani K, Alnaami AM, Al-Daghri NM. Dose Intervals and Time since Final Dose on Changes in Metabolic Indices after COVID-19 Vaccination. Vaccines (Basel) 2023; 11:1746. [PMID: 38140151 PMCID: PMC10748310 DOI: 10.3390/vaccines11121746] [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: 10/12/2023] [Revised: 11/22/2023] [Accepted: 11/22/2023] [Indexed: 12/24/2023] Open
Abstract
The rapid development and implementation of COVID-19 vaccines merit understanding its effects on metabolic indices. This retrospective longitudinal study investigated the influence of first-to-second-dose intervals and time since the final dose on the metabolic indices of individuals receiving COVID-19 vaccinations. A total of 318 Saudi subjects (59.7% females) aged 12-60 years received COVID-19 vaccines via the national vaccination program. We collected the anthropometric data and fasting blood samples at specific time points before vaccination and after the final vaccination dose, and biochemical metabolic indices, including glucose and lipid profile, were measured. We also collected the dates of vaccination and COVID-19 history during the study period. The participants were stratified into groups based on first-to-second-dose intervals and time since the final dose to compare pre-and post-vaccination changes in metabolic indices between the groups. Logistic regression analysis revealed no differences in pre- to post-vaccination metabolic status between groups based on first-to-second-dose intervals in either adolescents or adults. However, shorter intervals (≤6 months) between the final dose and follow-up were associated with a decrease in total cardiometabolic components, especially triglyceride levels (OR = 0.39, 95% CI: (0.22-0.68), p < 0.001) than longer intervals (>6 months) in adults. In conclusion, time duration since final dose was associated with pre- to post-vaccination changes in metabolic indices, especially triglyceride levels, indicating that post-vaccination improvements wane over time. Further research is needed to validate the observed relationship, as it may contribute to optimizing vaccine effectiveness and safety in the future.
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Affiliation(s)
- Amani Alghamdi
- Biochemistry Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - Kaiser Wani
- Chair for Biomarkers of Chronic Diseases, Biochemistry Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - Abdullah M. Alnaami
- Chair for Biomarkers of Chronic Diseases, Biochemistry Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - Nasser M. Al-Daghri
- Biochemistry Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
- Chair for Biomarkers of Chronic Diseases, Biochemistry Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
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110
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Liu Y, Sánchez-Ovando S, Carolan L, Dowson L, Khvorov A, Jessica Hadiprodjo A, Tseng YY, Delahunty C, Khatami A, Macnish M, Dougherty S, Hagenauer M, Riley KE, Jadhav A, Harvey J, Kaiser M, Mathew S, Hodgson D, Leung V, Subbarao K, Cheng AC, Macartney K, Koirala A, Marshall H, Clark J, Blyth CC, Wark P, Kucharski AJ, Sullivan SG, Fox A. Superior immunogenicity of mRNA over adenoviral vectored COVID-19 vaccines reflects B cell dynamics independent of anti-vector immunity: Implications for future pandemic vaccines. Vaccine 2023; 41:7192-7200. [PMID: 37903679 DOI: 10.1016/j.vaccine.2023.10.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 09/22/2023] [Accepted: 10/13/2023] [Indexed: 11/01/2023]
Abstract
Both vector and mRNA vaccines were an important part of the response to the COVID-19 pandemic and may be required in future outbreaks and pandemics. The aim of this study was to validate whether immunogenicity differs for adenoviral vectored (AdV) versus mRNA vaccines against SARS-CoV-2, and to investigate how anti-vector immunity and B cell dynamics modulate immunogenicity. We enrolled SARS-CoV-2 infection-naïve health care workers who had received two doses of either AdV AZD1222 (n = 184) or mRNA BNT162b2 vaccine (n = 274) between April and October 2021. Blood was collected at least once, 10-48 days after vaccine dose 2 for antibody and B cell analyses. Median ages were 42 and 39 years, for AdV and mRNA vaccinees, respectively. Surrogate virus neutralization test (sVNT) and spike binding antibody titres were a median of 4.2 and 2.2 times lower, respectively, for AdV compared to mRNA vaccinees (p < 0.001). Median percentages of memory B cells that recognized fluorescent-tagged spike and RBD were 2.9 and 8.3 times lower, respectively for AdV compared to mRNA vaccinees. Titres of IgG reactive with human adenovirus type 5 hexon protein rose a median of 2.2-fold after AdV vaccination but were not correlated with anti-spike antibody titres. Together the results show that mRNA induced substantially more sVNT antibody than AdV vaccine, which reflected greater B cell expansion and targeting of the RBD rather than an attenuating effect of anti-vector antibodies. ClinicalTrials.gov Identifier: NCT05110911.
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Affiliation(s)
- Yi Liu
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Stephany Sánchez-Ovando
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Louise Carolan
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Leslie Dowson
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Arseniy Khvorov
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - A Jessica Hadiprodjo
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Yeu Yang Tseng
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Catherine Delahunty
- Immune Health Program, Hunter Medical Research Institute and School of Medicine and Public Health, University of Newcastle, Newcastle, Australia
| | - Ameneh Khatami
- The Children's Hospital at Westmead, Sydney Children's Hospital Network, National Centre for Immunisation Research and Surveillance, Sydney, Australia; Sydney Medical School, University of Sydney, Sydney, Australia
| | - Marion Macnish
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Perth, Australia
| | - Sonia Dougherty
- Queensland Children's Hospital, Children's Health Queensland Hospital and Health Service, and University of Queensland, Brisbane, Australia
| | - Michelle Hagenauer
- Alfred Health, Monash Health and Monash University, Melbourne, Australia
| | - Kathryn E Riley
- Adelaide Medical School and Robinson Research Institute, The University of Adelaide, Adelaide, Australia; Division of Paediatric Medicine, Women's and Children's Health Network, Adelaide, Australia
| | - Ajay Jadhav
- The Children's Hospital at Westmead, Sydney Children's Hospital Network, National Centre for Immunisation Research and Surveillance, Sydney, Australia
| | - Joanne Harvey
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Perth, Australia
| | - Marti Kaiser
- Alfred Health, Monash Health and Monash University, Melbourne, Australia
| | - Suja Mathew
- Adelaide Medical School and Robinson Research Institute, The University of Adelaide, Adelaide, Australia; Division of Paediatric Medicine, Women's and Children's Health Network, Adelaide, Australia
| | - David Hodgson
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Vivian Leung
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Kanta Subbarao
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Allen C Cheng
- Alfred Health, Monash Health and Monash University, Melbourne, Australia
| | - Kristine Macartney
- The Children's Hospital at Westmead, Sydney Children's Hospital Network, National Centre for Immunisation Research and Surveillance, Sydney, Australia; Sydney Medical School, University of Sydney, Sydney, Australia
| | - Archana Koirala
- The Children's Hospital at Westmead, Sydney Children's Hospital Network, National Centre for Immunisation Research and Surveillance, Sydney, Australia; Sydney Medical School, University of Sydney, Sydney, Australia
| | - Helen Marshall
- Adelaide Medical School and Robinson Research Institute, The University of Adelaide, Adelaide, Australia; Division of Paediatric Medicine, Women's and Children's Health Network, Adelaide, Australia
| | - Julia Clark
- Queensland Children's Hospital, Children's Health Queensland Hospital and Health Service, and University of Queensland, Brisbane, Australia
| | - Christopher C Blyth
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Perth, Australia; School of Medicine, University of Western Australia, Perth Children's Hospital, and Department of Microbiology, PathWest Laboratory Medicine, QEII medical centre, Perth, Australia
| | - Peter Wark
- Immune Health Program, Hunter Medical Research Institute and School of Medicine and Public Health, University of Newcastle, Newcastle, Australia
| | - Adam J Kucharski
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Sheena G Sullivan
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; Department of Epidemiology, University of California, Los Angeles, USA
| | - Annette Fox
- Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia; WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia.
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111
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Datwani S, Kalikawe R, Mwimanzi F, Speckmaier S, Liang R, Sang Y, Waterworth R, Yaseen F, Lapointe HR, Barad E, DeMarco ML, Holmes DT, Simons J, Montaner JS, Romney MG, Brumme ZL, Brockman MA. Dynamics of T-cell Responses Following COVID-19 mRNA Vaccination and Breakthrough Infection in Older Adults. Pathog Immun 2023; 8:117-135. [PMID: 38035132 PMCID: PMC10686373 DOI: 10.20411/pai.v8i1.613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 09/18/2023] [Indexed: 12/02/2023] Open
Abstract
Introduction While older adults generally mount weaker antibody responses to a primary COVID-19 vaccine series, T-cell responses remain less well characterized in this population. We compared SARS-CoV-2 spike-specific T-cell responses after 2- and 3-dose COVID-19 mRNA vaccination and subsequent breakthrough infection in older and younger adults. Methods We quantified CD4+ and CD8+ T-cells reactive to overlapping peptides spanning the ancestral SARS-CoV-2 spike protein in 40 older adults (median age 79) and 50 younger health care workers (median age 39), all COVID-19 naive, using an activation-induced marker assay. T-cell responses were further assessed in 24 participants, including 8 older adults, who subsequently experienced their first SARS-CoV-2 breakthrough infection. Results A third COVID-19 mRNA vaccine dose significantly boosted spike-specific CD4+ and CD8+ T-cell frequencies to above 2-dose levels in older and younger adults. T-cell frequencies did not significantly differ between older and younger adults after either dose. Multivariable analyses adjusting for sociodemographic, health, and vaccine-related variables confirmed that older age was not associated with impaired cellular responses. Instead, the strongest predictors of CD4+ and CD8+ T-cell frequencies post-third-dose were their corresponding post-second-dose frequencies. Breakthrough infection significantly increased both CD4+ and CD8+ T-cell frequencies, to comparable levels in older and younger adults. Exploratory analyses revealed an association between HLA-A*02:03 and higher post-vaccination CD8+ T-cell frequencies, which may be attributable to numerous strong-binding HLA-A*02:03-specific CD8+ T-cell epitopes in the spike protein. Conclusion Older adults mount robust T-cell responses to 2- and 3-dose COVID-19 mRNA vaccination, which are further boosted following breakthrough infection.
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Affiliation(s)
- Sneha Datwani
- Faculty of Health Sciences, Simon Fraser University, Burnaby, Canada
| | - Rebecca Kalikawe
- Faculty of Health Sciences, Simon Fraser University, Burnaby, Canada
| | - Francis Mwimanzi
- Faculty of Health Sciences, Simon Fraser University, Burnaby, Canada
| | - Sarah Speckmaier
- British Columbia Centre for Excellence in HIV/AIDS, Vancouver, Canada
| | - Richard Liang
- British Columbia Centre for Excellence in HIV/AIDS, Vancouver, Canada
| | - Yurou Sang
- Faculty of Health Sciences, Simon Fraser University, Burnaby, Canada
| | - Rachel Waterworth
- Faculty of Health Sciences, Simon Fraser University, Burnaby, Canada
| | - Fatima Yaseen
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, Canada
| | - Hope R. Lapointe
- British Columbia Centre for Excellence in HIV/AIDS, Vancouver, Canada
| | - Evan Barad
- Faculty of Health Sciences, Simon Fraser University, Burnaby, Canada
- British Columbia Centre for Excellence in HIV/AIDS, Vancouver, Canada
| | - Mari L. DeMarco
- Division of Medical Microbiology and Virology, St. Paul's Hospital, Vancouver, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | - Daniel T. Holmes
- Division of Medical Microbiology and Virology, St. Paul's Hospital, Vancouver, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | - Janet Simons
- Division of Medical Microbiology and Virology, St. Paul's Hospital, Vancouver, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | - Julio S.G. Montaner
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, Canada
- Department of Medicine, University of British Columbia, Vancouver, Canada
| | - Marc G. Romney
- Division of Medical Microbiology and Virology, St. Paul's Hospital, Vancouver, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | - Zabrina L. Brumme
- Faculty of Health Sciences, Simon Fraser University, Burnaby, Canada
- British Columbia Centre for Excellence in HIV/AIDS, Vancouver, Canada
| | - Mark A. Brockman
- Faculty of Health Sciences, Simon Fraser University, Burnaby, Canada
- British Columbia Centre for Excellence in HIV/AIDS, Vancouver, Canada
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, Canada
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112
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Stella C, Berardi C, Chiarito A, Gennenzi V, Postorino S, Settanni D, Cesarano M, Xhemalaj R, Tanzarella ES, Cutuli SL, Grieco DL, Conti G, Antonelli M, De Pascale G. Clinical features and 28-day mortality predictors of vaccinated patients admitted to a COVID-19 ICU hub in Italy. JOURNAL OF ANESTHESIA, ANALGESIA AND CRITICAL CARE 2023; 3:47. [PMID: 37957713 PMCID: PMC10644635 DOI: 10.1186/s44158-023-00130-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 10/26/2023] [Indexed: 11/15/2023]
Abstract
BACKGROUND COVID-19 vaccination has been proved to be effective in preventing hospitalization and illness progression, even though data on mortality of vaccinated patients in the intensive care unit (ICU) are conflicting. The aim of this study was to investigate the characteristics of vaccinated patients admitted to ICU according to their immunization cycle and to outline the risk factors for 28-day mortality. This observational study included adult patients admitted to ICU for acute respiratory failure (ARF) due to SARS-CoV-2 and who had received at least one dose of vaccine. RESULTS Fully vaccination was defined as a complete primary cycle from < 120 days or a booster dose from > 14 days. All the other patients were named partially vaccinated. One-hundred sixty patients (91 fully and 69 partially vaccinated) resulted eligible, showing a 28-day mortality rate of 51.9%. Compared to partially vaccinated, fully vaccinated were younger (69 [60-77.5] vs. 74 [66-79] years, p 0.029), more frequently immunocompromised (39.56% vs. 14.39%, p 0.003), and affected by at least one comorbidity (90.11% vs 78.26%, p 0.045), mainly chronic kidney disease (CKD) (36.26% vs 20.29%, p 0.035). At multivariable analysis, independent predictors of 28-day mortality were as follows: older age [OR 1.05 (CI 95% 1.01-1.08), p 0.005], history of chronic obstructive pulmonary disease (COPD) [OR 3.05 (CI 95% 1.28-7.30), p 0.012], immunosuppression [OR 3.70 (CI 95% 1.63-8.40), p 0.002], and admission respiratory and hemodynamic status [PaO2/FiO2 and septic shock: OR 0.99 (CI 95% 0.98-0.99), p 0.009 and 2.74 (CI 95% 1.16-6.48), p 0.022, respectively]. CONCLUSIONS Despite a full vaccination cycle, severe COVID-19 may occur in patients with relevant comorbidities, especially immunosuppression and CKD. Regardless the immunization status, predisposing conditions (i.e., older age, COPD, and immunosuppression) and a severe clinical presentation were predictors of 28-day mortality.
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Affiliation(s)
- Claudia Stella
- Dipartimento Di Scienze Biotecnologiche Di Base, Cliniche Intensivologiche E Perioperatorie, Università Cattolica del Sacro Cuore, Rome, Italy.
| | - Cecilia Berardi
- Dipartimento Di Scienze Biotecnologiche Di Base, Cliniche Intensivologiche E Perioperatorie, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Annalisa Chiarito
- Dipartimento Di Scienze Biotecnologiche Di Base, Cliniche Intensivologiche E Perioperatorie, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Veronica Gennenzi
- Dipartimento Di Scienze Dell'Emergenza, Anestesiologiche E Della Rianimazione, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Stefania Postorino
- Dipartimento Di Scienze Dell'Emergenza, Anestesiologiche E Della Rianimazione, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Donatella Settanni
- Dipartimento Di Scienze Dell'Emergenza, Anestesiologiche E Della Rianimazione, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Melania Cesarano
- Dipartimento Di Scienze Dell'Emergenza, Anestesiologiche E Della Rianimazione, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Rikardo Xhemalaj
- Dipartimento Di Scienze Biotecnologiche Di Base, Cliniche Intensivologiche E Perioperatorie, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Eloisa Sofia Tanzarella
- Dipartimento Di Scienze Dell'Emergenza, Anestesiologiche E Della Rianimazione, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Salvatore Lucio Cutuli
- Dipartimento Di Scienze Dell'Emergenza, Anestesiologiche E Della Rianimazione, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Domenico Luca Grieco
- Dipartimento Di Scienze Dell'Emergenza, Anestesiologiche E Della Rianimazione, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Giorgio Conti
- Dipartimento Di Scienze Biotecnologiche Di Base, Cliniche Intensivologiche E Perioperatorie, Università Cattolica del Sacro Cuore, Rome, Italy
- Dipartimento Di Scienze Dell'Emergenza, Anestesiologiche E Della Rianimazione, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Massimo Antonelli
- Dipartimento Di Scienze Biotecnologiche Di Base, Cliniche Intensivologiche E Perioperatorie, Università Cattolica del Sacro Cuore, Rome, Italy
- Dipartimento Di Scienze Dell'Emergenza, Anestesiologiche E Della Rianimazione, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Gennaro De Pascale
- Dipartimento Di Scienze Biotecnologiche Di Base, Cliniche Intensivologiche E Perioperatorie, Università Cattolica del Sacro Cuore, Rome, Italy
- Dipartimento Di Scienze Dell'Emergenza, Anestesiologiche E Della Rianimazione, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
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Arashiro T, Arima Y, Kuramochi J, Muraoka H, Sato A, Chubachi K, Oba K, Yanai A, Arioka H, Uehara Y, Ihara G, Kato Y, Yanagisawa N, Nagura Y, Yanai H, Ueda A, Numata A, Kato H, Oka H, Nishida Y, Ishii K, Ooki T, Nidaira Y, Asami T, Jinta T, Nakamura A, Taniyama D, Yamamoto K, Tanaka K, Ueshima K, Fuwa T, Stucky A, Suzuki T, Smith C, Hibberd M, Ariyoshi K, Suzuki M. Immune escape and waning immunity of COVID-19 monovalent mRNA vaccines against symptomatic infection with BA.1/BA.2 and BA.5 in Japan. Vaccine 2023; 41:6969-6979. [PMID: 37839947 DOI: 10.1016/j.vaccine.2023.10.021] [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: 02/16/2023] [Revised: 10/09/2023] [Accepted: 10/10/2023] [Indexed: 10/17/2023]
Abstract
BACKGROUND Repeated emergence of variants with immune escape capacity and waning immunity from vaccination are major concerns for COVID-19. We examined whether the surge in Omicron subvariant BA.5 cases was due to immune escape or waning immunity through vaccine effectiveness (VE) evaluation. METHODS A test-negative case-control study was conducted in 16 clinics/hospitals during the BA.1/BA.2-dominant and BA.5-dominant periods. VE against symptomatic infection was estimated after adjusting for age, sex, comorbidity, occupation, testing frequency, prior infection, close contact history, clinic/hospital, week, and preventive measures. Absolute VE (aVE) was calculated for 2/3/4 doses, compared to the unvaccinated. Relative VE (rVE) was calculated, comparing 3 vs 2 and 4 vs 3 doses. RESULTS 13,025 individuals were tested during the BA.1/BA.2-dominant and BA.5-dominant periods with similar baseline characteristics. For BA.1/BA.2, aVE was 52 % (95 %CI:34-66) 14 days-3 months post-dose 2, 42 % (29-52) > 6 months post-dose 2, 71 % (64-77) 14 days-3 months post-dose 3, and 68 % (52-79) 3-6 months post-dose 3. rVE was 49 % (38-57) 14 days-3 months post-dose 3 and 45 % (18-63) 3-6 months post-dose 3. For BA.5, aVE was 56 % (27-73) 3-6 months post-dose 2, 32 % (12-47) > 6 months post-dose 2, 70 % (61-78) 14 days-3 months post-dose 3, 59 % (48-68) 3-6 months post-dose 3, 50 % (29-64) > 6 months post-dose 3, and 74 % (61-83) ≥ 14 days post-dose 4. rVE was 56 % (45-65) 14 days-3 months post-dose 3, 39 % (27-48) 3-6 months post-dose 3, 25 % (-2-45) > 6 months post-dose 3, and 30 % (-6-54) ≥ 14 days post-dose 4. CONCLUSIONS Booster doses initially provided high protection against BA.5 at a level similar to that against BA.1/BA.2. However, the protection seemed shorter-lasting against BA.5, which likely contributed to the surge. Furthermore, rVE post-dose 4 was low even among recent vaccinees. These results support the introduction of variant-containing vaccines and emphasize the need for vaccines with longer duration of protection.
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Affiliation(s)
- Takeshi Arashiro
- Center for Surveillance, Immunization, and Epidemiologic Research, National Institute of Infectious Diseases, Tokyo, Japan; Department of Pathology, National Institute of Infectious Diseases, Tokyo, Japan; Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom; School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.
| | - Yuzo Arima
- Center for Surveillance, Immunization, and Epidemiologic Research, National Institute of Infectious Diseases, Tokyo, Japan
| | - Jin Kuramochi
- Kuramochi Clinic Interpark, Tochigi, Japan; Department of Global Health Promotion, Tokyo Medical and Dental University, Tokyo, Japan
| | | | | | - Kumi Chubachi
- Chubachi Internal Respiratory Medicine Clinic, Tokyo, Japan
| | - Kunihiro Oba
- Department of Pediatrics, Showa General Hospital, Tokyo, Japan
| | - Atsushi Yanai
- Department of General Internal Medicine, St. Luke's International Hospital, Tokyo, Japan
| | - Hiroko Arioka
- Department of General Internal Medicine, St. Luke's International Hospital, Tokyo, Japan
| | - Yuki Uehara
- Department of Clinical Laboratory, St. Luke's International Hospital, Tokyo, Japan; Department of Infectious Diseases, Fujita Health University School of Medicine, Aichi, Japan
| | | | - Yasuyuki Kato
- Department of Infectious Diseases, International University of Health and Welfare Narita Hospital, Chiba, Japan
| | | | | | - Hideki Yanai
- Fukujuji Hospital, Japan Anti-Tuberculosis Association, Kiyose, Japan
| | - Akihiro Ueda
- Department of Infectious Diseases, Japanese Red Cross Medical Center, Tokyo, Japan
| | | | - Hideaki Kato
- Infection Prevention and Control Department, Yokohama City University Hospital, Yokohama, Japan
| | - Hideaki Oka
- Department of General Internal Medicine and Infectious Diseases, Saitama Medical Center, Saitama, Japan
| | - Yusuke Nishida
- Department of General Internal Medicine and Infectious Diseases, Saitama Medical Center, Saitama, Japan
| | - Koji Ishii
- Saitama Sekishinkai Hospital, Saitama, Japan
| | - Takao Ooki
- Saitama Sekishinkai Hospital, Saitama, Japan
| | | | - Takahiro Asami
- Department of Internal Medicine, Sano Kosei General Hospital, Tochigi, Japan
| | - Torahiko Jinta
- Department of Pulmonary Medicine, St. Luke's International Hospital, Tokyo, Japan
| | - Akira Nakamura
- Department of Internal Medicine, Asahi General Hospital, Chiba, Japan
| | - Daisuke Taniyama
- Department of Infectious Diseases, Showa General Hospital, Tokyo, Japan
| | - Kei Yamamoto
- Department of General Internal Medicine and Infectious Diseases, Saitama Medical Center, Saitama, Japan
| | - Katsushi Tanaka
- Infection Prevention and Control Department, Yokohama City University Hospital, Yokohama, Japan
| | | | | | - Ashley Stucky
- Center for Surveillance, Immunization, and Epidemiologic Research, National Institute of Infectious Diseases, Tokyo, Japan
| | - Tadaki Suzuki
- Department of Pathology, National Institute of Infectious Diseases, Tokyo, Japan
| | - Chris Smith
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom; School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
| | - Martin Hibberd
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Koya Ariyoshi
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
| | - Motoi Suzuki
- Center for Surveillance, Immunization, and Epidemiologic Research, National Institute of Infectious Diseases, Tokyo, Japan
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Chapman LAC, Aubry M, Maset N, Russell TW, Knock ES, Lees JA, Mallet HP, Cao-Lormeau VM, Kucharski AJ. Impact of vaccinations, boosters and lockdowns on COVID-19 waves in French Polynesia. Nat Commun 2023; 14:7330. [PMID: 37957160 PMCID: PMC10643399 DOI: 10.1038/s41467-023-43002-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 10/27/2023] [Indexed: 11/15/2023] Open
Abstract
Estimating the impact of vaccination and non-pharmaceutical interventions on COVID-19 incidence is complicated by several factors, including successive emergence of SARS-CoV-2 variants of concern and changing population immunity from vaccination and infection. We develop an age-structured multi-strain COVID-19 transmission model and inference framework to estimate vaccination and non-pharmaceutical intervention impact accounting for these factors. We apply this framework to COVID-19 waves in French Polynesia and estimate that the vaccination programme averted 34.8% (95% credible interval: 34.5-35.2%) of 223,000 symptomatic cases, 49.6% (48.7-50.5%) of 5830 hospitalisations and 64.2% (63.1-65.3%) of 1540 hospital deaths that would have occurred in a scenario without vaccination up to May 2022. We estimate the booster campaign contributed 4.5%, 1.9%, and 0.4% to overall reductions in cases, hospitalisations, and deaths. Our results suggest that removing lockdowns during the first two waves would have had non-linear effects on incidence by altering accumulation of population immunity. Our estimates of vaccination and booster impact differ from those for other countries due to differences in age structure, previous exposure levels and timing of variant introduction relative to vaccination, emphasising the importance of detailed analysis that accounts for these factors.
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Affiliation(s)
- Lloyd A C Chapman
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK.
- Department of Mathematics and Statistics, Lancaster University, Lancaster, UK.
| | - Maite Aubry
- Laboratoire de recherche sur les infections virales émergentes, Institut Louis Malardé, Tahiti, French Polynesia
| | - Noémie Maset
- Cellule Epi-surveillance Plateforme COVID-19, Tahiti, French Polynesia
| | - Timothy W Russell
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Edward S Knock
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK
| | - John A Lees
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK
- European Molecular Biology Laboratory, European Bioinformatics Institute EMBL-EBI, Cambridgeshire, UK
| | | | - Van-Mai Cao-Lormeau
- Laboratoire de recherche sur les infections virales émergentes, Institut Louis Malardé, Tahiti, French Polynesia
| | - Adam J Kucharski
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
- Laboratoire de recherche sur les infections virales émergentes, Institut Louis Malardé, Tahiti, French Polynesia
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115
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Muchangi JM, Mturi J, Mukasa H, Kithuki K, Kosgei SJ, Kanyangi LM, Mararo R, Nankanja M. Levels of handwashing and vaccine uptake in Kenya, Uganda, and Tanzania to prevent and control COVID-19: a systematic review and meta-analysis. Front Public Health 2023; 11:1256007. [PMID: 38026286 PMCID: PMC10666047 DOI: 10.3389/fpubh.2023.1256007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 10/27/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction Coronavirus Disease 2019 (COVID-19) presents a massive challenge in Africa due to overwhelmed and underresourced health systems, as well as the existing burden of communicable and non- communicable diseases. Self-inoculation may occur when an individual touches their mucous membrane following direct contact between their hands and severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2)-contaminated surfaces. Therefore, handwashing can be used along with COVID-19 vaccines to reduce the spread of SARS-CoV-2 and the burden of COVID-19. We were interested in investigating the levels of handwashing and vaccine uptake to control and prevent COVID-19 in Kenya, Uganda and Tanzania using a systematic review and meta-analysis. Methods We searched PubMed, African Index Medicus and African Journals Online for studies published since inception to 31st January 2023. We included all studies that assessed: the levels of COVID-19 vaccine acceptance and hesitance as indicators of vaccine uptake; and studies on the levels of handwashing to prevent and control COVID-19 in Kenya, Uganda and Tanzania. Study findings were synthesized by meta-analysis to get the pooled effect measure. Three studies were synthesized qualitatively due to high level of heterogeneity in effect measure precluding a quantitative meta-analysis. Results Our search identified 128 articles of which 17 studies with 18,305 participants and 622 vaccination sites were reviewed with 14 of them being meta-analyzed. This systematic review and meta-analysis reports high levels of COVID-19 vaccine acceptance and handwashing in Kenya, Uganda and Tanzania at 67% (95% CI: 55, 78) and 88% (95% CI: 73, 97), respectively. Vaccine hesitance among the participants was low at 31% (95% CI: 15, 49). Discussion Despite their importance in the control and prevention of COVID-19, some countries do not implement handwashing and vaccination effectively. There is a need for public health strategies to raise awareness about the importance of handwashing and the uptake of the COVID-19 vaccine. Systematic Review Registration https://www.crd.york.ac.uk/PROSPERO/, PROSPERO ID CRD42023394698.
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Affiliation(s)
| | - James Mturi
- Amref Health Africa, Dar es Salaam, Tanzania
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116
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Gagne M, Flynn BJ, Andrew SF, Flebbe DR, Mychalowych A, Lamb E, Davis-Gardner ME, Burnett MR, Serebryannyy LA, Lin BC, Pessaint L, Todd JPM, Ziff ZE, Maule E, Carroll R, Naisan M, Jethmalani Y, Case JB, Dmitriev IP, Kashentseva EA, Ying B, Dodson A, Kouneski K, Doria-Rose NA, O'Dell S, Godbole S, Laboune F, Henry AR, Marquez J, Teng IT, Wang L, Zhou Q, Wali B, Ellis M, Zouantchangadou S, Ry AV, Lewis MG, Andersen H, Kwong PD, Curiel DT, Foulds KE, Nason MC, Suthar MS, Roederer M, Diamond MS, Douek DC, Seder RA. Mucosal Adenoviral-vectored Vaccine Boosting Durably Prevents XBB.1.16 Infection in Nonhuman Primates. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.06.565765. [PMID: 37986823 PMCID: PMC10659340 DOI: 10.1101/2023.11.06.565765] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Waning immunity and continued virus evolution have limited the durability of protection from symptomatic infection mediated by intramuscularly (IM)-delivered mRNA vaccines against COVID-19 although protection from severe disease remains high. Mucosal vaccination has been proposed as a strategy to increase protection at the site of SARS-CoV-2 infection by enhancing airway immunity, potentially reducing rates of infection and transmission. Here, we compared protection against XBB.1.16 virus challenge 5 months following IM or mucosal boosting in non-human primates (NHP) that had previously received a two-dose mRNA-1273 primary vaccine regimen. The mucosal boost was composed of a bivalent chimpanzee adenoviral-vectored vaccine encoding for both SARS-CoV-2 WA1 and BA.5 spike proteins (ChAd-SARS-CoV-2-S) and delivered either by an intranasal mist or an inhaled aerosol. An additional group of animals was boosted by the IM route with bivalent WA1/BA.5 spike-matched mRNA (mRNA-1273.222) as a benchmark control. NHP were challenged in the upper and lower airways 18 weeks after boosting with XBB.1.16, a heterologous Omicron lineage strain. Cohorts boosted with ChAd-SARS-CoV-2-S by an aerosolized or intranasal route had low to undetectable virus replication as assessed by levels of subgenomic SARS-CoV-2 RNA in the lungs and nose, respectively. In contrast, animals that received the mRNA-1273.222 boost by the IM route showed minimal protection against virus replication in the upper airway but substantial reduction of virus RNA levels in the lower airway. Immune analysis showed that the mucosal vaccines elicited more durable antibody and T cell responses than the IM vaccine. Protection elicited by the aerosolized vaccine was associated with mucosal IgG and IgA responses, whereas protection elicited by intranasal delivery was mediated primarily by mucosal IgA. Thus, durable immunity and effective protection against a highly transmissible heterologous variant in both the upper and lower airways can be achieved by mucosal delivery of a virus-vectored vaccine. Our study provides a template for the development of mucosal vaccines that limit infection and transmission against respiratory pathogens. Graphical abstract
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117
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Patel N, Trost JF, Guebre-Xabier M, Zhou H, Norton J, Jiang D, Cai Z, Zhu M, Marchese AM, Greene AM, Mallory RM, Kalkeri R, Dubovsky F, Smith G. XBB.1.5 spike protein COVID-19 vaccine induces broadly neutralizing and cellular immune responses against EG.5.1 and emerging XBB variants. Sci Rep 2023; 13:19176. [PMID: 37932354 PMCID: PMC10628164 DOI: 10.1038/s41598-023-46025-y] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 10/26/2023] [Indexed: 11/08/2023] Open
Abstract
Monovalent SARS-CoV-2 Prototype (Wuhan-Hu-1) and bivalent (Prototype + BA.4/5) COVID-19 vaccines have demonstrated a waning of vaccine-mediated immunity highlighted by lower neutralizing antibody responses against SARS-CoV-2 Omicron XBB sub-variants. The reduction of humoral immunity due to the rapid evolution of SARS-CoV-2 has signaled the need for an update to vaccine composition. A strain change for all authorized/approved vaccines to a monovalent composition with Omicron subvariant XBB.1.5 has been supported by the WHO, EMA, and FDA. Here, we demonstrate that immunization with a monovalent recombinant spike protein COVID-19 vaccine (Novavax, Inc.) based on the subvariant XBB.1.5 induces neutralizing antibodies against XBB.1.5, XBB.1.16, XBB.2.3, EG.5.1, and XBB.1.16.6 subvariants, promotes higher pseudovirus neutralizing antibody titers than bivalent (Prototype + XBB.1.5) vaccine, induces SARS-CoV-2 spike-specific Th1-biased CD4 + T-cell responses against XBB subvariants, and robustly boosts antibody responses in mice and nonhuman primates primed with a variety of monovalent and bivalent vaccines. Together, these data support updating the Novavax vaccine to a monovalent XBB.1.5 formulation for the 2023-2024 COVID-19 vaccination campaign.
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118
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Kilpatrick AM. Ecological and Evolutionary Insights About Emerging Infectious Diseases from the COVID-19 Pandemic. ANNUAL REVIEW OF ECOLOGY, EVOLUTION, AND SYSTEMATICS 2023; 54:171-193. [DOI: 10.1146/annurev-ecolsys-102320-101234] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2025]
Abstract
The coronavirus disease 2019 (COVID-19) pandemic challenged the workings of human society, but in doing so, it advanced our understanding of the ecology and evolution of infectious diseases. Fluctuating transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) demonstrated the highly dynamic nature of human social behavior, often without government intervention. Evolution of SARS-CoV-2 in the first two years following spillover resulted primarily in increased transmissibility, while in the third year, the globally dominant virus variants had all evolved substantial immune evasion. The combination of viral evolution and the buildup of host immunity through vaccination and infection greatly decreased the realized virulence of SARS-CoV-2 due to the age dependence of disease severity. The COVID-19 pandemic was exacerbated by presymptomatic, asymptomatic, and highly heterogeneous transmission, as well as highly variable disease severity and the broad host range of SARS-CoV-2. Insights and tools developed during the COVID-19 pandemic could provide a stronger scientific basis for preventing, mitigating, and controlling future pandemics.
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Affiliation(s)
- A. Marm Kilpatrick
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, California, USA
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119
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Fernández-González M, Agulló V, García JA, Padilla S, García-Abellán J, de la Rica A, Mascarell P, Masiá M, Gutiérrez F. T-Cell Immunity Against Severe Acute Respiratory Syndrome Coronavirus 2 Measured by an Interferon-γ Release Assay Is Strongly Associated With Patient Outcomes in Vaccinated Persons Hospitalized With Delta or Omicron Variants. J Infect Dis 2023; 228:1240-1252. [PMID: 37418551 DOI: 10.1093/infdis/jiad260] [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: 03/30/2023] [Revised: 06/08/2023] [Accepted: 07/06/2023] [Indexed: 07/09/2023] Open
Abstract
BACKGROUND We measured T-cell and antibody responses to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in vaccinated patients hospitalized for coronavirus disease 2019 (COVID-19) and explored their potential value to predict outcomes. METHODS This was a prospective, longitudinal study including vaccinated patients hospitalized with Delta and Omicron SARS-CoV-2 variants. TrimericS-IgG antibodies and SARS-CoV-2 T-cell response were measured using a specific quantitative interferon-γ release assay (IGRA). Primary outcome was all-cause 28-day mortality or need for intensive care unit (ICU) admission. Cox models were used to assess associations with outcomes. RESULTS Of 181 individuals, 158 (87.3%) had detectable SARS-CoV-2 antibodies, 92 (50.8%) showed SARS-CoV-2-specific T-cell responses, and 87 (48.1%) had both responses. Patients who died within 28 days or were admitted to ICU were less likely to have both unspecific and specific T-cell responses in IGRA. In adjusted analyses (adjusted hazard ratio [95% confidence interval]), for the entire cohort, having both T-cell and antibody responses at admission (0.16 [.05-.58]) and Omicron variant (0.38 [.17-.87]) reduced the hazard of 28-day mortality or ICU admission, whereas higher Charlson comorbidity index score (1.27 [1.07-1.51]) and lower oxygen saturation to fraction of inspired oxygen ratio (2.36 [1.51-3.67]) increased the risk. CONCLUSIONS Preexisting immunity against SARS-CoV-2 is strongly associated with patient outcomes in vaccinated individuals requiring hospital admission for COVID-19. Persons showing both T-cell and antibody responses have the lowest risk of severe outcomes.
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Affiliation(s)
- Marta Fernández-González
- Infectious Diseases Unit, Hospital General Universitario de Elche, Elche
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid
| | - Vanesa Agulló
- Infectious Diseases Unit, Hospital General Universitario de Elche, Elche
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid
| | - José Alberto García
- Infectious Diseases Unit, Hospital General Universitario de Elche, Elche
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid
| | - Sergio Padilla
- Infectious Diseases Unit, Hospital General Universitario de Elche, Elche
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid
- Clinical Medicine Department, Universidad Miguel Hernández, San Juan de Alicante
| | - Javier García-Abellán
- Infectious Diseases Unit, Hospital General Universitario de Elche, Elche
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid
- Clinical Medicine Department, Universidad Miguel Hernández, San Juan de Alicante
| | - Alba de la Rica
- Infectious Diseases Unit, Hospital General Universitario de Elche, Elche
- Microbiology Service, Hospital General Universitario de Elche, Elche, Spain
| | - Paula Mascarell
- Infectious Diseases Unit, Hospital General Universitario de Elche, Elche
| | - Mar Masiá
- Infectious Diseases Unit, Hospital General Universitario de Elche, Elche
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid
- Clinical Medicine Department, Universidad Miguel Hernández, San Juan de Alicante
| | - Félix Gutiérrez
- Infectious Diseases Unit, Hospital General Universitario de Elche, Elche
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid
- Clinical Medicine Department, Universidad Miguel Hernández, San Juan de Alicante
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120
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Rose AM, Nicolay N, Sandonis Martín V, Mazagatos C, Petrović G, Baruch J, Denayer S, Seyler L, Domegan L, Launay O, Machado A, Burgui C, Vaikutyte R, Niessen FA, Loghin II, Husa P, Aouali N, Panagiotakopoulos G, Tolksdorf K, Horváth JK, Howard J, Pozo F, Gallardo V, Nonković D, Džiugytė A, Bossuyt N, Demuyser T, Duffy R, Luong Nguyen LB, Kislaya I, Martínez-Baz I, Gefenaite G, Knol MJ, Popescu C, Součková L, Simon M, Michelaki S, Reiche J, Ferenczi A, Delgado-Sanz C, Lovrić Makarić Z, Cauchi JP, Barbezange C, Van Nedervelde E, O'Donnell J, Durier C, Guiomar R, Castilla J, Jonikaite I, Bruijning-Verhagen PC, Lazar M, Demlová R, Wirtz G, Amerali M, Dürrwald R, Kunstár MP, Kissling E, Bacci S, Valenciano M. Vaccine effectiveness against COVID-19 hospitalisation in adults (≥ 20 years) during Omicron-dominant circulation: I-MOVE-COVID-19 and VEBIS SARI VE networks, Europe, 2021 to 2022. Euro Surveill 2023; 28:2300187. [PMID: 37997665 PMCID: PMC10668256 DOI: 10.2807/1560-7917.es.2023.28.47.2300187] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 07/24/2023] [Indexed: 11/25/2023] Open
Abstract
IntroductionThe I-MOVE-COVID-19 and VEBIS hospital networks have been measuring COVID-19 vaccine effectiveness (VE) in participating European countries since early 2021.AimWe aimed to measure VE against PCR-confirmed SARS-CoV-2 in patients ≥ 20 years hospitalised with severe acute respiratory infection (SARI) from December 2021 to July 2022 (Omicron-dominant period).MethodsIn both networks, 46 hospitals (13 countries) follow a similar test-negative case-control protocol. We defined complete primary series vaccination (PSV) and first booster dose vaccination as last dose of either vaccine received ≥ 14 days before symptom onset (stratifying first booster into received < 150 and ≥ 150 days after last PSV dose). We measured VE overall, by vaccine category/product, age group and time since first mRNA booster dose, adjusting by site as a fixed effect, and by swab date, age, sex, and presence/absence of at least one commonly collected chronic condition.ResultsWe included 2,779 cases and 2,362 controls. The VE of all vaccine products combined against hospitalisation for laboratory-confirmed SARS-CoV-2 was 43% (95% CI: 29-54) for complete PSV (with last dose received ≥ 150 days before onset), while it was 59% (95% CI: 51-66) after addition of one booster dose. The VE was 85% (95% CI: 78-89), 70% (95% CI: 61-77) and 36% (95% CI: 17-51) for those with onset 14-59 days, 60-119 days and 120-179 days after booster vaccination, respectively.ConclusionsOur results suggest that, during the Omicron period, observed VE against SARI hospitalisation improved with first mRNA booster dose, particularly for those having symptom onset < 120 days after first booster dose.
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Affiliation(s)
| | - Nathalie Nicolay
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | | | - Clara Mazagatos
- National Centre for Epidemiology, Institute of Health Carlos III, Madrid, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | | | - Joaquin Baruch
- IDCU within Health promotion and disease prevention Directorate, G'mangia, Malta
| | | | - Lucie Seyler
- Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Lisa Domegan
- Health Service Executive-Health Protection Surveillance Centre, Dublin, Ireland
| | - Odile Launay
- Inserm, CIC Cochin-Pasteur, Paris, France
- AP-HP, Hôpital Cochin, Paris, France
- Faculty of Medicine, University of Paris City, Paris, France
| | - Ausenda Machado
- National Institute of Health Dr Ricardo Jorge, Lisbon, Portugal
| | - Cristina Burgui
- Instituto de Salud Pública de Navarra-IdiSNA, Pamplona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | | | - F Annabel Niessen
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Isabela I Loghin
- St. Parascheva Clinical Hospital of Infectious Diseases, Iasi, Romania
- Grigore T. Popa University of Medicine and Pharmacy, Iasi, Romania
| | - Petr Husa
- Faculty of Medicine, Masaryk University, Brno, Czechia
- University Hospital Brno, Brno, Czechia
| | | | | | | | - Judit Krisztina Horváth
- National Laboratory for Health Security, Epidemiology and Surveillance Centre, Semmelweis University, Budapest, Hungary
| | | | - Francisco Pozo
- National Centre for Microbiology, Institute of Health Carlos III, Madrid, Spain
| | - Virtudes Gallardo
- Dirección General de Salud Pública y Ordenación Farmacéutica, Junta de Andalucía, Spain
| | - Diana Nonković
- Teaching Public Health Institute of Split-Dalmatia County, Split, Croatia
| | - Aušra Džiugytė
- IDCU within Health promotion and disease prevention Directorate, G'mangia, Malta
| | | | | | - Róisín Duffy
- Health Service Executive-Health Protection Surveillance Centre, Dublin, Ireland
| | | | - Irina Kislaya
- National Institute of Health Dr Ricardo Jorge, Lisbon, Portugal
| | - Iván Martínez-Baz
- Instituto de Salud Pública de Navarra-IdiSNA, Pamplona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Giedre Gefenaite
- Faculty of Medicine, Lund University, Lund, Sweden
- Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Mirjam J Knol
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Corneliu Popescu
- Dr Victor Babes Clinical Hospital of Infectious and Tropical Diseases, Bucharest, Romania
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | | | - Marc Simon
- Centre Hospitalier de Luxembourg, Luxembourg
| | | | | | - Annamária Ferenczi
- National Laboratory for Health Security, Epidemiology and Surveillance Centre, Semmelweis University, Budapest, Hungary
| | - Concepción Delgado-Sanz
- National Centre for Epidemiology, Institute of Health Carlos III, Madrid, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | | | - John Paul Cauchi
- IDCU within Health promotion and disease prevention Directorate, G'mangia, Malta
| | | | | | - Joan O'Donnell
- Health Service Executive-Health Protection Surveillance Centre, Dublin, Ireland
| | | | - Raquel Guiomar
- National Institute of Health Dr Ricardo Jorge, Lisbon, Portugal
| | - Jesús Castilla
- Instituto de Salud Pública de Navarra-IdiSNA, Pamplona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | | | - Patricia Cjl Bruijning-Verhagen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Mihaela Lazar
- "Cantacuzino" National Military Medical Institute for Research-Development, Bucharest, Romania
| | | | - Gil Wirtz
- Centre Hospitalier de Luxembourg, Luxembourg
| | - Marina Amerali
- National Public Health Organisation (EODY), Athens, Greece
| | | | - Mihály Pál Kunstár
- National Laboratory for Health Security, Epidemiology and Surveillance Centre, Semmelweis University, Budapest, Hungary
| | | | - Sabrina Bacci
- European Centre for Disease Prevention and Control, Stockholm, Sweden
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121
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Goldberg Y, Amir O, Mandel M, Freedman L, Bar-On YM, Bodenheimer O, Milo R, Huppert A. Measuring vaccine protection when the population is mostly vaccinated. J Clin Epidemiol 2023; 163:111-116. [PMID: 37774957 DOI: 10.1016/j.jclinepi.2023.09.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 08/30/2023] [Accepted: 09/21/2023] [Indexed: 10/01/2023]
Abstract
OBJECTIVES This study aims to address limitations in assessing vaccine protection using the classical vaccine effectiveness (VE) measure, especially in contexts where a significant portion of the population is already vaccinated or infected. STUDY DESIGN AND SETTING We propose using the adjusted number of cases (ANC) as a building block for deriving vaccine effectiveness measures. This approach accounts for biases arising from small and unrepresentative unvaccinated reference groups with incomplete data. We demonstrate the use of these measures for assessing the protection conferred by a booster dose against severe COVID-19 using data from Israel. RESULTS The use of ANC and the derived measures reveals a more comprehensive understanding of the complex immunity landscape compared to traditional VE measures. This approach enables meaningful comparisons between different vaccination categories and provides insights to inform policy decisions. CONCLUSION In situations with widespread vaccination and prior infections, traditional VE measures can be limited in their informative value. Using the ANC offers a more robust and insightful assessment of vaccine effectiveness. A demonstration of the evaluation of booster dose protection against severe COVID-19 in Israel underscores the importance of adopting complementary measures to guide public health strategies.
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Affiliation(s)
- Yair Goldberg
- The Faculty of Data and Decisions Science, Technion-Israel Institute of Technology, Haifa, Israel.
| | - Ofra Amir
- The Faculty of Data and Decisions Science, Technion-Israel Institute of Technology, Haifa, Israel
| | - Micha Mandel
- The Department of Statistics and Data Science, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Laurence Freedman
- The Bio-statistical and Bio-mathematical Unit, The Gertner Institute for Epidemiology & Health Policy Research, Sheba Medical Center, Ramat Gan, Israel
| | - Yinon M Bar-On
- Department of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Omri Bodenheimer
- Division of Public Health, Israel Ministry of Health, Jerusalem, Israel
| | - Ron Milo
- Department of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Amit Huppert
- The Bio-statistical and Bio-mathematical Unit, The Gertner Institute for Epidemiology & Health Policy Research, Sheba Medical Center, Ramat Gan, Israel; Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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Chatzilena A, Hyams C, Challen R, Marlow R, King J, Adegbite D, Kinney J, Clout M, Maskell N, Oliver J, Finn A, Danon L. Relative vaccine effectiveness of mRNA COVID-19 boosters in people aged at least 75 years during the spring-summer (monovalent vaccine) and autumn-winter (bivalent vaccine) booster campaigns: a prospective test negative case-control study, United Kingdom, 2022. Euro Surveill 2023; 28:2300173. [PMID: 38037728 PMCID: PMC10690860 DOI: 10.2807/1560-7917.es.2023.28.48.2300173] [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: 03/16/2023] [Accepted: 08/27/2023] [Indexed: 12/02/2023] Open
Abstract
BackgroundUnderstanding the relative vaccine effectiveness (rVE) of new COVID-19 vaccine formulations against SARS-CoV-2 infection is a public health priority. A precise analysis of the rVE of monovalent and bivalent boosters given during the 2022 spring-summer and autumn-winter campaigns, respectively, in a defined population remains of interest.AimWe assessed rVE against hospitalisation for the spring-summer (fourth vs third monovalent mRNA vaccine doses) and autumn-winter (fifth BA.1/ancestral bivalent vs fourth monovalent mRNA vaccine dose) boosters.MethodsWe performed a prospective single-centre test-negative design case-control study in ≥ 75-year-old people hospitalised with COVID-19 or other acute respiratory disease. We conducted regression analyses controlling for age, sex, socioeconomic status, patient comorbidities, community SARS-CoV-2 prevalence, vaccine brand and time between baseline dose and hospitalisation.ResultsWe included 682 controls and 182 cases in the spring-summer booster analysis and 572 controls and 152 cases in the autumn-winter booster analysis. A monovalent mRNA COVID-19 vaccine as fourth dose showed 46.6% rVE (95% confidence interval (CI): 13.9-67.1) vs those not fully boosted. A bivalent mRNA COVID-19 vaccine as fifth dose had 46.7% rVE (95% CI: 18.0-65.1), compared with a fourth monovalent mRNA COVID-19 vaccine dose.ConclusionsBoth fourth monovalent and fifth BA.1/ancestral mRNA bivalent COVID-19 vaccine doses demonstrated benefit as a booster in older adults. Bivalent mRNA boosters offered similar protection against hospitalisation with Omicron infection to monovalent mRNA boosters given earlier in the year. These findings support immunisation programmes in several European countries that advised the use of BA.1/ancestral bivalent booster doses.
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Affiliation(s)
- Anastasia Chatzilena
- These authors contributed equally to this work and share first/last authorship
- Bristol Vaccine Centre, Population Health Sciences, University of Bristol, Bristol, United Kingdom
- Engineering Mathematics, University of Bristol, Bristol, United Kingdom
| | - Catherine Hyams
- These authors contributed equally to this work and share first/last authorship
- Population Health Sciences, University of Bristol, Bristol, United Kingdom
- Bristol Vaccine Centre, Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Rob Challen
- Bristol Vaccine Centre, Population Health Sciences, University of Bristol, Bristol, United Kingdom
- Engineering Mathematics, University of Bristol, Bristol, United Kingdom
| | - Robin Marlow
- Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Jade King
- Clinical Research and Imaging Centre, UHBW NHS Trust, Bristol, United Kingdom
| | - David Adegbite
- Bristol Vaccine Centre, Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Jane Kinney
- Bristol Vaccine Centre, Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Madeleine Clout
- Bristol Vaccine Centre, Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Nick Maskell
- Academic Respiratory Unit, University of Bristol, Southmead Hospital, Bristol, United Kingdom
| | - Jennifer Oliver
- Bristol Vaccine Centre, Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Adam Finn
- These authors contributed equally to this work and share first/last authorship
- Bristol Vaccine Centre, Cellular and Molecular Medicine and Population Health Sciences, University of Bristol, Bristol, United Kingdom
- Bristol Vaccine Centre, Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Leon Danon
- These authors contributed equally to this work and share first/last authorship
- Bristol Vaccine Centre, Population Health Sciences, University of Bristol, Bristol, United Kingdom
- Engineering Mathematics, University of Bristol, Bristol, United Kingdom
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Rose AM, Nicolay N, Sandonis Martín V, Mazagatos C, Petrović G, Niessen FA, Machado A, Launay O, Denayer S, Seyler L, Baruch J, Burgui C, Loghin II, Domegan L, Vaikutytė R, Husa P, Panagiotakopoulos G, Aouali N, Dürrwald R, Howard J, Pozo F, Sastre-Palou B, Nonković D, Knol MJ, Kislaya I, Luong Nguyen LB, Bossuyt N, Demuyser T, Džiugytė A, Martínez-Baz I, Popescu C, Duffy R, Kuliešė M, Součková L, Michelaki S, Simon M, Reiche J, Otero-Barrós MT, Lovrić Makarić Z, Bruijning-Verhagen PC, Gomez V, Lesieur Z, Barbezange C, Van Nedervelde E, Borg ML, Castilla J, Lazar M, O'Donnell J, Jonikaitė I, Demlová R, Amerali M, Wirtz G, Tolksdorf K, Valenciano M, Bacci S, Kissling E. Vaccine effectiveness against COVID-19 hospitalisation in adults (≥ 20 years) during Alpha- and Delta-dominant circulation: I-MOVE-COVID-19 and VEBIS SARI VE networks, Europe, 2021. Euro Surveill 2023; 28:2300186. [PMID: 37997666 PMCID: PMC10668259 DOI: 10.2807/1560-7917.es.2023.28.47.2300186] [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: 03/23/2023] [Accepted: 07/24/2023] [Indexed: 11/25/2023] Open
Abstract
IntroductionTwo large multicentre European hospital networks have estimated vaccine effectiveness (VE) against COVID-19 since 2021.AimWe aimed to measure VE against PCR-confirmed SARS-CoV-2 in hospitalised severe acute respiratory illness (SARI) patients ≥ 20 years, combining data from these networks during Alpha (March-June)- and Delta (June-December)-dominant periods, 2021.MethodsForty-six participating hospitals across 14 countries follow a similar generic protocol using the test-negative case-control design. We defined complete primary series vaccination (PSV) as two doses of a two-dose or one of a single-dose vaccine ≥ 14 days before onset.ResultsWe included 1,087 cases (538 controls) and 1,669 cases (1,442 controls) in the Alpha- and Delta-dominant periods, respectively. During the Alpha period, VE against hospitalisation with SARS-CoV2 for complete Comirnaty PSV was 85% (95% CI: 69-92) overall and 75% (95% CI: 42-90) in those aged ≥ 80 years. During the Delta period, among SARI patients ≥ 20 years with symptom onset ≥ 150 days from last PSV dose, VE for complete Comirnaty PSV was 54% (95% CI: 18-74). Among those receiving Comirnaty PSV and mRNA booster (any product) ≥ 150 days after last PSV dose, VE was 91% (95% CI: 57-98). In time-since-vaccination analysis, complete all-product PSV VE was > 90% in those with their last dose < 90 days before onset; ≥ 70% in those 90-179 days before onset.ConclusionsOur results from this EU multi-country hospital setting showed that VE for complete PSV alone was higher in the Alpha- than the Delta-dominant period, and addition of a first booster dose during the latter period increased VE to over 90%.
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Affiliation(s)
| | - Nathalie Nicolay
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | | | - Clara Mazagatos
- National Centre for Epidemiology, Institute of Health Carlos III, Madrid, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | | | - F Annabel Niessen
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Ausenda Machado
- National Institute of Health Dr Ricardo Jorge, Lisbon, Portugal
| | - Odile Launay
- Inserm, CIC Cochin-Pasteur, Paris, France
- AP-HP, Hôpital Cochin, Paris, France
- Faculty of Medicine, University of Paris City, Paris, France
| | | | - Lucie Seyler
- Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Joaquin Baruch
- IDCU within Health promotion and disease prevention Directorate, G'mangia, Malta
| | - Cristina Burgui
- Instituto de Salud Pública de Navarra-IdiSNA, Pamplona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Isabela I Loghin
- St. Parascheva Clinical Hospital of Infectious Diseases, Iasi, Romania
- Grigore T. Popa University of Medicine and Pharmacy, Iasi, Romania
| | - Lisa Domegan
- Health Service Executive-Health Protection Surveillance Centre, Dublin, Ireland
| | | | - Petr Husa
- Faculty of Medicine, Masaryk University, Brno, Czechia
- University Hospital Brno, Brno, Czechia
| | | | | | | | | | - Francisco Pozo
- National Centre for Microbiology, Institute of Health Carlos III, Madrid, Spain
| | - Bartolomé Sastre-Palou
- Servicio de Medicina Preventiva Hospital Universitario Son Espases, Servicio de Epidemiología, Consellería de Salut, Palma, Spain
| | - Diana Nonković
- Teaching Public Health Institute of Split-Dalmatia County, Split, Croatia
| | - Mirjam J Knol
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Irina Kislaya
- National Institute of Health Dr Ricardo Jorge, Lisbon, Portugal
| | | | | | | | - Aušra Džiugytė
- IDCU within Health promotion and disease prevention Directorate, G'mangia, Malta
| | - Iván Martínez-Baz
- Instituto de Salud Pública de Navarra-IdiSNA, Pamplona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Corneliu Popescu
- Dr Victor Babes Clinical Hospital of Infectious and Tropical Diseases, Bucharest, Romania
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Róisín Duffy
- Health Service Executive-Health Protection Surveillance Centre, Dublin, Ireland
| | - Monika Kuliešė
- Lithuanian University of Health Sciences, Kaunas, Lithuania
| | | | | | - Marc Simon
- Centre Hospitalier de Luxembourg, Luxembourg
| | | | - María Teresa Otero-Barrós
- Servicio de Epidemiología, Dirección General de Salud Pública, Consejería de Sanidad de Galicia, Santiago de Compostela, A Coruna, Spain
| | | | - Patricia Cjl Bruijning-Verhagen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Verónica Gomez
- National Institute of Health Dr Ricardo Jorge, Lisbon, Portugal
| | | | | | | | - Maria-Louise Borg
- IDCU within Health promotion and disease prevention Directorate, G'mangia, Malta
| | - Jesús Castilla
- Instituto de Salud Pública de Navarra-IdiSNA, Pamplona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Mihaela Lazar
- "Cantacuzino" National Military Medical Institute for Research-Development, Bucharest, Romania
| | - Joan O'Donnell
- Health Service Executive-Health Protection Surveillance Centre, Dublin, Ireland
| | | | | | - Marina Amerali
- National Public Health Organisation (EODY), Athens, Greece
| | - Gil Wirtz
- Luxembourg Institute of Health, Luxembourg
| | | | | | - Sabrina Bacci
- European Centre for Disease Prevention and Control, Stockholm, Sweden
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Zhao Y, Gao G, Li W, Xu Z, Wang X, Chang R. Inflammatory predictors (eosinophil, C-RP and IL-6) and effectiveness of oral Azvudine tablets treatment in COVID-19 hospitalized patients: A retrospective, self-controlled study. Heliyon 2023; 9:e21941. [PMID: 38034620 PMCID: PMC10682612 DOI: 10.1016/j.heliyon.2023.e21941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 10/31/2023] [Accepted: 10/31/2023] [Indexed: 12/02/2023] Open
Abstract
Background Although vaccinations and antiviral drugs are widely used in the clinical treatment worldwide, there is little investigation on the clinical outcomes and effectiveness of oral Azvudine tablets (FNC) treatment in COVID-19 hospitalized patients. The previous data showed Azvudine treatment was closely related to reduced virus shedding time, but the potential role of Azvudine on inflammatory response is scarce. Thus, this study is to investigate inflammatory predictors and effectiveness of oral Azvudine tablets treatment in COVID-19 hospitalized patients. Methods A total of 600 out of hospitalized patients were retrospectively collected over a 2-month period, of whom 60 out of hospitalized patients infected SARS-CoV-2. 32 of hospitalized patients who received Azvudine tablets were collected and the rest did not. Oral Azvudine tablets treatment: 5 mg/day for 7-14 days. We analyzed the routine blood tests, blood coagulation test, NT-proBNP, Troponin (cTNl), Creatine kinase MB (CK-MB) after oral Azvudine tablets treatment compared with that in before oral Azvudine tablets treatment. Also, we compared the CT chest and length of Stay after Azvudine treatment. Results We found that the number and percentage of eosinophil increased significantly, but the levels of C-reactive protein (C-RP) and IL-6 reduced remarkably after Azvudine treatment. In blood coagulation tests, the results showed that activated partial thromboplastin time (APTT) (mean ± SEM: 2.950 ± 2.268s) and fibrinogen (mean ± SEM: 0.8910 ± 0.5134g/L) downregulated slightly, while there was similar in the level of D-Dimer (mean ± SEM: 0.1660 ± 0.3108 μg/mL) before and after Azvudine treatment. The expression of NT-proBNP reduced in Azvudine treatment (mean ± SEM: 897.1 ± 557.1pg/mL). Chest computed tomography (CT) scan reports also demonstrated that Azvudine treatment improved lung symptoms in COVID-19 hospitalized patients. Moreover, there is no difference in the average of length of stay in Azvudine treatment (the average of LOS days: 9.0) and no treatment (the average of LOS days: 9.0). Conclusion Oral Azvudine tablets treatment was associated with decreased inflammatory response and improved blood coagulation function, which should be substantial clinical benefits in COVID-19 hospitalized patients.
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Affiliation(s)
- Yanli Zhao
- Department of Cardiovascular Medicine, Shenzhen Longhua District Central Hospital, Shenzhen, 518110, China
- Department of Medical Laboratory, Shenzhen Longhua District Central Hospital, Shenzhen, 518110, China
| | - Gan Gao
- Department of Cardiovascular Medicine, Shenzhen Longhua District Central Hospital, Shenzhen, 518110, China
| | - Wenhui Li
- Department of Cardiovascular Medicine, Shenzhen Longhua District Central Hospital, Shenzhen, 518110, China
| | - Zuqing Xu
- Department of Cardiovascular Medicine, Shenzhen Longhua District Central Hospital, Shenzhen, 518110, China
| | - Xiao Wang
- Department of Cardiovascular Medicine, Shenzhen Longhua District Central Hospital, Shenzhen, 518110, China
| | - Rong Chang
- Department of Cardiovascular Medicine, Shenzhen Longhua District Central Hospital, Shenzhen, 518110, China
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Kirsebom FCM, Andrews N, Stowe J, Ramsay M, Lopez Bernal J. Duration of protection of ancestral-strain monovalent vaccines and effectiveness of bivalent BA.1 boosters against COVID-19 hospitalisation in England: a test-negative case-control study. THE LANCET. INFECTIOUS DISEASES 2023; 23:1235-1243. [PMID: 37453440 DOI: 10.1016/s1473-3099(23)00365-1] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/24/2023] [Accepted: 05/31/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND Bivalent BA.1 booster vaccines were offered to adults aged 50 years or older and clinically vulnerable people as part of the 2022 autumn COVID-19 booster vaccination programme in England. Previously, all adults in England had been offered a primary course consisting of two doses of either ChAdOx1-S or monovalent mRNA vaccine and an mRNA monovalent booster vaccine. We aimed to estimate the long-term duration of protection provided by monovalent COVID-19 vaccines, and the incremental vaccine effectiveness of bivalent BA.1 boosters. METHODS In this test-negative case-control study, cases of COVID-19 and controls aged 18 years or older were identified from national data for PCR tests done in hospital settings in England. Our analysis was restricted to people with acute respiratory infections coded in the primary diagnosis field. Data for vaccination status were extracted from the English national vaccine register and linked to COVID-19 testing data. Between June 13 and Dec 25, 2022, we estimated the vaccine effectiveness against hospitalisation of two or three or more doses of monovalent COVID-19 vaccines compared with being unvaccinated, stratified by age (18-64 years vs ≥65 years). Between Sept 5, 2022, and Feb 5, 2023, we estimated the incremental vaccine effectiveness (ie, in addition to the protection from earlier vaccines) of receiving a bivalent BA.1 booster vaccine in addition to at least two doses of a monovalent vaccine (when the last dose was at least 6 months ago) among people aged 50 years or older. Analyses were adjusted for week of test, gender, age, COVID-19 risk group, residing in a care home, being a health or social care worker, Index of Multiple Deprivation quintile, ethnicity, and recent COVID-19 positivity. FINDINGS Our analysis of monovalent COVID-19 vaccines included 19 841 cases and 43 410 controls. Absolute vaccine effectiveness against hospitalisation among people who had received at least three doses plateaued from 6 months after the last dose at around 50% in those aged 65 years or older and at around 30% in those aged 18-64 years. Our analyses of the effectiveness of bivalent BA.1 boosters included data for 9954 cases and 39 108 controls aged 50 years or older. Incremental vaccine effectiveness peaked at 53·0% (95% CI 47·9-57·5) 2-4 weeks after administration, before waning to 35·9% (31·4-40·1) after 10 or more weeks. INTERPRETATION Our study provides evidence that monovalent COVID-19 vaccines offer moderate long-term protection against hospitalisation in people aged 65 years or older and that the bivalent BA.1 booster vaccines were effective in preventing hospitalisation among people aged 50 years or older at a time when omicron lineages were circulating in England. FUNDING None.
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Affiliation(s)
| | - Nick Andrews
- UK Health Security Agency, London, UK; NIHR Health Protection Research Unit in Vaccines and Immunisation, London School of Hygiene & Tropical Medicine, London, UK
| | | | - Mary Ramsay
- UK Health Security Agency, London, UK; NIHR Health Protection Research Unit in Vaccines and Immunisation, London School of Hygiene & Tropical Medicine, London, UK
| | - Jamie Lopez Bernal
- UK Health Security Agency, London, UK; NIHR Health Protection Research Unit in Vaccines and Immunisation, London School of Hygiene & Tropical Medicine, London, UK; NIHR Health Protection Research Unit in Respiratory Infections, Imperial College London, London, UK.
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Zachreson C, Tobin R, Szanyi J, Walker C, Cromer D, Shearer FM, Conway E, Ryan G, Cheng A, McCaw JM, Geard N. Individual variation in vaccine immune response can produce bimodal distributions of protection. Vaccine 2023; 41:6630-6636. [PMID: 37793975 DOI: 10.1016/j.vaccine.2023.09.025] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 09/14/2023] [Accepted: 09/14/2023] [Indexed: 10/06/2023]
Abstract
The ability for vaccines to protect against infectious diseases varies among individuals, but computational models employed to inform policy typically do not account for this variation. Here we examine this issue: we implement a model of vaccine efficacy developed in the context of SARS-CoV-2 in order to evaluate the general implications of modelling correlates of protection on the individual level. Due to high levels of variation in immune response, the distributions of individual-level protection emerging from this model tend to be highly dispersed, and are often bimodal. We describe the specification of the model, provide an intuitive parameterisation, and comment on its general robustness. We show that the model can be viewed as an intermediate between the typical approaches that consider the mode of vaccine action to be either "all-or-nothing" or "leaky". Our view based on this analysis is that individual variation in correlates of protection is an important consideration that may be crucial to designing and implementing models for estimating population-level impacts of vaccination programs.
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Affiliation(s)
- Cameron Zachreson
- School of Computing and Information Systems, The University of Melbourne, Parkville, Victoria, Australia.
| | - Ruarai Tobin
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Joshua Szanyi
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Camelia Walker
- School of Mathematics and Statistics, The University of Melbourne, Parkville, Victoria, Australia
| | - Deborah Cromer
- Kirby Institute, University of New South Wales, Sydney, New South Wales, Australia
| | - Freya M Shearer
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia; Telethon Kids Institute, Nedlands, Western Australia, Australia
| | - Eamon Conway
- The Walter and Eliza Hall Institute, Melbourne, Victoria, Australia
| | - Gerard Ryan
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia; Telethon Kids Institute, Nedlands, Western Australia, Australia
| | - Allen Cheng
- Monash Infectious Diseases, Monash Health and School of Clinical Sciences, Monash University, Clayton, Victoria, Australia
| | - James M McCaw
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia; School of Mathematics and Statistics, The University of Melbourne, Parkville, Victoria, Australia
| | - Nicholas Geard
- School of Computing and Information Systems, The University of Melbourne, Parkville, Victoria, Australia
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Reynolds L, Dewey C, Asfour G, Little M. Vaccine efficacy against SARS-CoV-2 for Pfizer BioNTech, Moderna, and AstraZeneca vaccines: a systematic review. Front Public Health 2023; 11:1229716. [PMID: 37942238 PMCID: PMC10628441 DOI: 10.3389/fpubh.2023.1229716] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 09/15/2023] [Indexed: 11/10/2023] Open
Abstract
The purpose of this systematic review was to report on the vaccine efficacy (VE) of three SARS-CoV-2 vaccines approved by Health Canada: Pfizer BioNTech, Moderna, and AstraZeneca. Four databases were searched for primary publications on population-level VE. Ninety-two publications matched the inclusion criteria, and the extracted data were separated by vaccine type: mRNA vaccines (Pfizer and Moderna) and the AstraZeneca vaccine. The median VE for PCR-positive patients and various levels of clinical disease was determined for the first and second doses of both vaccine types against multiple SARS-CoV-2 variants. The median VE for PCR-positive infections against unidentified variants from an mRNA vaccine was 64.5 and 89%, respectively, after one or two doses. The median VE for PCR-positive infections against unidentified variants from the AstraZeneca vaccine was 53.4 and 69.6%, respectively, after one or two doses. The median VE for two doses of mRNA for asymptomatic, symptomatic, and severe infection against unidentified variants was 85.5, 93.2, and 92.2%, respectively. The median VE for two doses of AstraZeneca for asymptomatic, symptomatic, and severe infection against unidentified variants was 69.7, 71, and 90.2%, respectively. Vaccine efficacy numerically increased from the first to the second dose, increased from the first 2 weeks to the second 2 weeks post-vaccination for both doses, but decreased after 4 months from the second dose. Vaccine efficacy did not differ by person's age.
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Affiliation(s)
- Lia Reynolds
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Cate Dewey
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Ghaid Asfour
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Matthew Little
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
- School of Public Health and Social Policy, Faculty of Human and Social Development, University of Victoria, Victoria, BC, Canada
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Bean DJ, Monroe J, Liang YM, Borberg E, Senussi Y, Swank Z, Chalise S, Walt D, Weinberg J, Sagar M. Heterotypic responses against nsp12/nsp13 from prior SARS-CoV-2 infection associates with lower subsequent endemic coronavirus incidence. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.23.563621. [PMID: 37961343 PMCID: PMC10634759 DOI: 10.1101/2023.10.23.563621] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Immune responses from prior SARS-CoV-2 infection and COVID-19 vaccination do not prevent re-infections and may not protect against future novel coronaviruses (CoVs). We examined the incidence of and immune differences against human endemic CoVs (eCoV) as a proxy for response against future emerging CoVs. Assessment was among those with known SARS-CoV-2 infection, COVID-19 vaccination but no documented SARS-CoV-2 infection, or neither exposure. Retrospective cohort analyses suggest that prior SARS-CoV-2 infection, but not COVID-19 vaccination alone, protects against subsequent symptomatic eCoV infection. CD8+ T cell responses to the non-structural eCoV proteins, nsp12 and nsp13, were significantly higher in individuals with previous SARS-CoV-2 infection as compared to the other groups. The three groups had similar cellular responses against the eCoV spike and nucleocapsid, and those with prior spike exposure had lower eCoV-directed neutralizing antibodies. Incorporation of non-structural viral antigens in a future pan-CoV vaccine may improve protection against future heterologous CoV infections.
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Affiliation(s)
- David J. Bean
- Department of Virology, Immunology and Microbiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA
| | - Janet Monroe
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA
| | - Yan Mei Liang
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA
| | - Ella Borberg
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA
| | - Yasmeen Senussi
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA
| | - Zoe Swank
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA
| | - Sujata Chalise
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA
| | - David Walt
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA
| | - Janice Weinberg
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Manish Sagar
- Department of Virology, Immunology and Microbiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA
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He X, Zeng B, Wang Y, Pang Y, Zhang M, Hu T, Liang Y, Kang M, Tang S. Effectiveness of booster vaccination with inactivated COVID-19 vaccines against SARS-CoV-2 Omicron BA.2 infection in Guangdong, China: a cohort study. Front Immunol 2023; 14:1257360. [PMID: 37915583 PMCID: PMC10616523 DOI: 10.3389/fimmu.2023.1257360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 09/29/2023] [Indexed: 11/03/2023] Open
Abstract
The effectiveness of COVID-19 vaccines wanes over time and the emergence of the SARS-CoV-2 Omicron variant led to the accelerated expansion of efforts for booster vaccination. However, the effect and contribution of booster vaccination with inactivated COVID-19 vaccines remain to be evaluated. We conducted a retrospective close contacts cohort study to analyze the epidemiological characteristics and Omicron infection risk, and to evaluate the effectiveness of booster vaccination with inactivated COVID-19 vaccines against SARS-CoV-2 infection, symptomatic COVID-19, and COVID-19 pneumonia during the outbreaks of Omicron BA.2 infection from 1 February to 31 July 2022 in Guangdong, China. A total of 46,547 close contacts were identified while 6.3% contracted Omicron BA.2 infection, 1.8% were asymptomatic infection, 4.1% developed mild COVID-19, and 0.3% had COVID-19 pneumonia. We found that females and individuals aged 0-17 or ≥ 60 years old were more prone to SARS-CoV-2 infection. The vaccinated individuals showed lower infection risk when compared with the unvaccinated people. The effectiveness of booster vaccination with inactivated COVID-19 vaccines against SARS-CoV-2 infection and symptomatic COVID-19 was 28.6% (95% CI: 11.6%, 35.0%) and 39.6% (95% CI: 30.0, 47.9) among adults aged ≥ 18 years old, respectively when compared with full vaccination. Booster vaccination provided a moderate level of protection against SARS-CoV-2 infection (VE: 49.9%, 95% CI: 22.3%-67.7%) and symptomatic COVID-19 (VE: 62.6%, 95% CI: 36.2%-78.0%) among adults aged ≥ 60 years old. Moreover, the effectiveness of booster vaccination was 52.2% (95% CI: 21.3%, 70.9%) and 83.8% (95% CI: 28.1%, 96.3%) against COVID-19 pneumonia in adults aged ≥ 18 and ≥ 60 years old, respectively. The reduction of absolute risk rate of COVID-19 pneumonia in the booster vaccination group was 0·96% (95% CI: 0.33%, 1.11%), and the number needed to vaccinate to prevent one case of COVID-19 pneumonia was 104 (95% CI: 91, 303) in adults aged ≥ 60 years old. In summary, booster vaccination with inactivated COVID-19 vaccines provides a low level of protection against infection and symptomatic in adults of 18-59 years old, and a moderate level of protection in older adults of more than 60 years old, but a high level of protection against COVID-19 pneumonia in older adults.
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Affiliation(s)
- Xiaofeng He
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
- Institute of Evidence-Based Medicine, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, China
| | - Biao Zeng
- Institute of Infectious Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Ye Wang
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China
| | - Yulian Pang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Meng Zhang
- Institute of Infectious Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Ting Hu
- Institute of Infectious Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Yuanhao Liang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Min Kang
- Institute of Infectious Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, China
| | - Shixing Tang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
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Wee LE, Pang D, Chiew C, Tan J, Lee V, Ong B, Lye DC, Tan KB. Long-term Real-world Protection Afforded by Third mRNA Doses Against Symptomatic Severe Acute Respiratory Syndrome Coronavirus 2 Infections, Coronavirus Disease 19-related Emergency Attendances and Hospitalizations Amongst Older Singaporeans During an Omicron XBB Wave. Clin Infect Dis 2023; 77:1111-1119. [PMID: 37280047 DOI: 10.1093/cid/ciad345] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 05/23/2023] [Accepted: 06/02/2023] [Indexed: 06/08/2023] Open
Abstract
BACKGROUND Literature on long-term real-world vaccine effectiveness of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) booster vaccines (up to and beyond 360 days) is scarce. We report estimates of protection against symptomatic infection, emergency department (ED) attendances and hospitalizations up to and beyond 360 days post-receipt of booster messenger RNA (mRNA) vaccines among Singaporeans aged ≥60 years during an Omicron XBB wave. METHODS We conducted a population-based cohort study including all Singaporeans aged ≥60 years with no documented prior SARS-CoV-2 infection who had previously received ≥3 doses of mRNA vaccines (BNT162b2/mRNA-1273), over a 4-month period during transmission of Omicron XBB. We reported the adjusted incidence-rate-ratio (IRR) for symptomatic infections, ED attendances and hospitalizations at different time-intervals from both first and second boosters, using Poisson regression; with the reference group being those who received their first booster 90 to 179 days prior. RESULTS In total, 506 856 boosted adults were included, contributing 55 846 165 person-days of observation. Protection against symptomatic infections among those who received a third vaccine dose (first booster) waned after 180 days with increasing adjusted IRRs; however, protection against ED attendances and hospitalizations held up, with comparable adjusted IRRs with increasing time from third vaccine doses (≥360 days from third dose: adjusted IRR [ED attendances] = 0.73, 95% confidence interval [CI] = .62-.85; adjusted IRR [hospitalization] = 0.58, 95% CI = .49-.70). CONCLUSIONS Our results highlight the benefit of a booster dose in reducing ED attendances and hospitalizations amongst older adults aged ≥60 years with no documented prior SARS-CoV-2 infection, during an Omicron XBB wave; up to and beyond 360 days post-booster. A second booster provided further reduction.
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Affiliation(s)
- Liang En Wee
- National Centre for Infectious Diseases, Singapore, Singapore
- Duke-NUS Graduate Medical School, National University of Singapore, Singapore, Singapore
- Department of Infectious Diseases, Singapore General Hospital, Singapore, Singapore
| | | | - Calvin Chiew
- National Centre for Infectious Diseases, Singapore, Singapore
- Ministry of Health, Singapore, Singapore
| | - Janice Tan
- Ministry of Health, Singapore, Singapore
| | - Vernon Lee
- Ministry of Health, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Benjamin Ong
- Ministry of Health, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - David Chien Lye
- National Centre for Infectious Diseases, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Department of Infectious Diseases, Tan Tock Seng Hospital, Singapore, Singapore
| | - Kelvin Bryan Tan
- Ministry of Health, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
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Liang Y, Sun Q, Liu Q, Pang Y, Tang S. SARS-CoV-2 incidence, seroprevalence, and COVID-19 vaccination coverage in the homeless population: a systematic review and meta-analysis. Front Public Health 2023; 11:1044788. [PMID: 37900041 PMCID: PMC10600393 DOI: 10.3389/fpubh.2023.1044788] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 09/25/2023] [Indexed: 10/31/2023] Open
Abstract
Objectives SARS-CoV-2 infection and COVID-19 vaccination of homeless people are a serious public health concern during COVID-19 pandemic. We aimed to systematically assess SARS-CoV-2 incidence, seroprevalence, and COVID-19 vaccination coverage in homeless people, which are important to inform resource allocation and policy adjustment for the prevention and control of COVID-19. Methods We searched PubMed, Web of Science, and the World Health Organization COVID-19 database for the studies of SARS-CoV-2 incidence, seroprevalence, and COVID-19 vaccination coverage in the homeless population. Subgroup analyses were conducted to pool SARS-CoV-2 incidence and seroprevalence in sheltered homeless, unsheltered homeless, and mixed population, respectively. Potential sources of heterogeneity in the estimates were explored by meta-regression analysis. Results Forty-nine eligible studies with a total of 75,402 homeless individuals and 5,000 shelter staff were included in the meta-analysis. The pooled incidence of SARS-CoV-2 infection was 10% (95% CI: 7 to 12%) in the homeless population and 8% (5 to 12%) for shelter staff. In addition, the overall estimated SARS-CoV-2 specific seroprevalence was 19% (8 to 33%) for homeless populations and 22% (3 to 52%) for shelter staff, respectively. Moreover, for the homeless subjects, the pooled incidence was 10% (4 to 23%) for asymptomatic SARS-CoV-2 infections, 6% (1 to 12%) for symptomatic SARS-CoV-2 infections, 3% (1 to 4%) for hospitalization for COVID-19, and 1% (0 to 2%) for severe COVID-19 cases, respectively while no COVID-19-related death was reported. Furthermore, the data derived from 12 included studies involving 225,448 homeless individuals revealed that the pooled proportion of one dose COVID-19 vaccination was 41% (35 to 47%), which was significantly lower than those in the general population. Conclusion Our study results indicate that the homeless people remain highly susceptible to SARS-CoV-2 infection, but COVID-19 vaccination coverage was lower than the general population, underscoring the need for prioritizing vaccine deployment and implementing enhanced preventive measures targeting this vulnerable group.
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Affiliation(s)
| | | | | | | | - Shixing Tang
- Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
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Paternina-Caicedo A, Quevedo DS, Ríos DS, Moyano D, Alvis-Guzmán N, Alviz-Zakzuk NR, Salcedo F, Moyano L, Ramírez-Suarez J, Smith AD, De la Hoz-Restrepo F. Comparative effectiveness and duration of protection of ChAdOx1, CoronaVac, BNT162b2, mRNA-1273, and Ad26.COV2.S COVID-19 vaccines for symptomatic and hospitalized Mu, Delta, and Omicron: A test-negative case-control study. Vaccine 2023; 41:6291-6299. [PMID: 37679278 DOI: 10.1016/j.vaccine.2023.08.072] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 08/23/2023] [Accepted: 08/25/2023] [Indexed: 09/09/2023]
Abstract
OBJECTIVE We carried out a study to estimate the vaccine effectiveness (VE) of homologous vaccination schedules against COVID-19, using data from mandatory information systems from Bogota, Colombia. METHODS A test-negative case-control study in adults from Bogota (Colombia), between March 1st of 2021 and February 25th of 2022. We assess VE among symptomatic COVID-19 cases during the Mul, Delta, and Omicron predominance periods in Bogota, with controls matched by sex, age (±5 years), and date of testing (±7 days), using a case:control ratio of 1:1. We selected homologous vaccination schedules with ChAdOx1, CoronaVac, BNT162b2, mRNA-1273, and Ad26.COV2.S. VE was reported as one minus the odds ratio in adjusted conditional logistic regressions, with their 95% confidence intervals (CI). A p-value < 0.05 was considered statistically significant. RESULTS 52,913 cases were matched to controls, 16,722 for Mu, 14,094 for Delta, and 22,097 for Omicron. VE was high against COVID-19 during Mu weeks with full vaccination using the monovalent BNT162b2 (VE: 69; 95% CI, 65 to 72) vaccine and ChAdOx1 (VE: 64; 95% CI, 31 to 81) and significantly lower with CoronaVac (P < 0.001) and Ad26.COV2.S (P = 0.005). During Delta, VE against COVID-19 was higher with BNT162b2 (VE: 55; 95% CI, 51 to 58). The VE for COVID-19 cases during Omicron was higher with a booster dose of monovalent BNT162b2 (VE: 45; 95% CI, 34 to 54). The VE of primary series and booster for ChAdOx1, Ad26.COV2.S, and CoronaVac did not show protection for Omicron. CONCLUSION Our study provides further evidence on the protective effect of mRNA vaccines for Omicron, and warrant that the duration of protection against symptomatic infection may last for only a few months.
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Affiliation(s)
| | | | | | | | - Nelson Alvis-Guzmán
- ALZAK Foundation, Cartagena, Colombia; Universidad de Cartagena, Cartagena, Colombia
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Meeraus W, Stuurman AL, Durukal I, Conde-Sousa E, Lee A, Maria AS, Furtado BE, Ouwens M, Gray CM, Valverde DA, da Silva HG, Taylor S. COVID-19 vaccine booster doses provide increased protection against COVID-19 hospitalization compared with previously vaccinated individuals: Interim findings from the REFORCO-Brazil real-world effectiveness study during Delta and Omicron. Vaccine 2023; 41:6366-6378. [PMID: 37704499 DOI: 10.1016/j.vaccine.2023.08.085] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 08/15/2023] [Accepted: 08/30/2023] [Indexed: 09/15/2023]
Abstract
BACKGROUND Although COVID-19 booster vaccination is widely recommended, there is limited long-term, population-level, real-world evidence on the magnitude of improved protection against severe COVID-19 conferred by boosting with monovalent COVID-19 vaccines developed against ancestral SARS-CoV-2, especially in low- or middle-income countries. We present interim results from the first large-scale assessment of the relative vaccine effectiveness (rVE) of first and second booster doses against severe COVID-19 in a low-/middle-income country. METHODS REFORCO-Brazil is an ongoing, test-negative case-control study (NCT05697705) utilizing Brazil national severe acute respiratory syndrome (SARS) surveillance and vaccination data. In SARS hospitalizations from August 1, 2021 to July 31, 2022, we matched test-positive (via SARS-CoV-2 antigen/reverse transcription polymerase chain reaction [RT-PCR]) cases and test-negative case-controls (via RT-PCR) based on admission date, preceding vaccinations, and age. We evaluated the rVEs of four monovalent COVID-19 vaccines (AZD1222, Ad26.COV2.S, CoronaVac, and BNT162b2) as second boosters compared with any first boosters received ≥4 months previously, and as first boosters compared with primary-series vaccinations completed ≥4 months previously. RESULTS The overall rVE of second boosters, from 5668 (2238 test-positive) evaluated hospitalizations, was 24.7 % (95 % confidence interval [CI]: 12.6-35.1); the overall rVE of first boosters, from 30,272 (12,063 test-positive) hospitalizations, was 46.8 % (95 % CI: 43.3-50.0). The rVEs of AZD1222 and BNT162b2 were similar: 29.4 % (95 % CI: 8.6-45.5) and 25.5 % (95 % CI: 4.2-42.2), respectively, for second boosters; and 42.5 % (95 % CI: 28.0-54.0) and 50.8 % (95 % CI: 47.5-54.0), respectively, for first boosters. In general, rVEs were higher in elderly (≥80 years) and immunocompromised/high-risk individuals. CONCLUSIONS Our results support the use of AZD1222 and other adenoviral/mRNA vaccine boosters to maintain protection against COVID-19 hospitalization from Omicron subvariants, including in elderly and immunocompromised individuals at increased risk of accelerated waning or severe outcomes.
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Affiliation(s)
- Wilhelmine Meeraus
- Medical Evidence, Vaccines & Immune Therapies, AstraZeneca, Cambridge, UK.
| | - Anke L Stuurman
- Medical Evidence, Vaccines & Immune Therapies, AstraZeneca, Cambridge, UK; P95 Epidemiology & Pharmacovigilance, Leuven, Belgium
| | - Ilgaz Durukal
- Real World Science, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK
| | - Eduardo Conde-Sousa
- Medical Evidence, Vaccines & Immune Therapies, AstraZeneca, Cambridge, UK; P95 Epidemiology & Pharmacovigilance, Leuven, Belgium
| | - Andrew Lee
- Medical and Payor Statistics, BioPharmaceuticals Business Unit, AstraZeneca, Cambridge, UK
| | | | | | - Mario Ouwens
- Medical and Payor Statistics, BioPharmaceuticals Business Unit, AstraZeneca, Mölndal, Sweden
| | - Christen M Gray
- Real World Science, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK
| | | | | | - Sylvia Taylor
- Medical Evidence, Vaccines & Immune Therapies, AstraZeneca, Cambridge, UK
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Zhang S, Agyeman AA, Hadjichrysanthou C, Standing JF. SARS-CoV-2 viral dynamic modeling to inform model selection and timing and efficacy of antiviral therapy. CPT Pharmacometrics Syst Pharmacol 2023; 12:1450-1460. [PMID: 37534815 PMCID: PMC10583246 DOI: 10.1002/psp4.13022] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 07/15/2023] [Accepted: 07/19/2023] [Indexed: 08/04/2023] Open
Abstract
Mathematical models of viral dynamics have been reported to describe adequately the dynamic changes of severe acute respiratory syndrome-coronavirus 2 viral load within an individual host. In this study, eight published viral dynamic models were assessed, and model selection was performed. Viral load data were collected from a community surveillance study, including 2155 measurements from 162 patients (124 household and 38 non-household contacts). An extended version of the target-cell limited model that includes an eclipse phase and an immune response component that enhances viral clearance described best the data. In general, the parameter estimates showed good precision (relative standard error <10), apart from the death rate of infected cells. The parameter estimates were used to simulate the outcomes of a clinical trial of the antiviral tixagevimab-cilgavimab, a monoclonal antibody combination which blocks infection of the target cells by neutralizing the virus. The simulated outcome of the effectiveness of the antiviral therapy in controlling viral replication was in a good agreement with the clinical trial data. Early treatment with high antiviral efficacy is important for desired therapeutic outcome.
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Affiliation(s)
- Shengyuan Zhang
- Department of Pharmaceutics, School of PharmacyUniversity College LondonLondonUK
| | - Akosua A. Agyeman
- Infection, Immunity and Inflammation Research and Teaching Department, Great Ormond Street Institute of Child HealthUniversity College LondonLondonUK
| | - Christoforos Hadjichrysanthou
- Department of MathematicsUniversity of SussexBrightonUK
- Department of Infectious Disease Epidemiology, School of Public HealthImperial College LondonLondonUK
| | - Joseph F. Standing
- Infection, Immunity and Inflammation Research and Teaching Department, Great Ormond Street Institute of Child HealthUniversity College LondonLondonUK
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Ferranna M, Robinson LA, Cadarette D, Eber MR, Bloom DE. The benefits and costs of U.S. employer COVID-19 vaccine mandates. RISK ANALYSIS : AN OFFICIAL PUBLICATION OF THE SOCIETY FOR RISK ANALYSIS 2023; 43:2053-2068. [PMID: 36649917 DOI: 10.1111/risa.14090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 11/07/2022] [Accepted: 12/12/2022] [Indexed: 06/17/2023]
Abstract
In 2021, the Biden Administration issued mandates requiring COVID-19 vaccinations for U.S. federal employees and contractors and for some healthcare and private sector workers. These mandates have been challenged in court; some have been halted or delayed. However, their costs and benefits have not been rigorously appraised. This study helps fill that gap. We estimate the direct costs and health-related benefits that would have accrued if these vaccination requirements had been implemented as intended. Compared with the January 2022 vaccination rates, we find that the mandates could have led to 15 million additional vaccinated individuals, increasing the overall proportion of the fully vaccinated U.S. population from 64% to 68%. The associated net benefits depend on the subsequent evolution of the pandemic-information unavailable ex ante to analysts or policymakers. In scenarios involving the emergence of a novel, more transmissible variant, against which vaccination and previous infection offer moderate protection, the estimated net benefits are potentially large. They reach almost $20,000 per additional vaccinated individual, with more than 20,000 total deaths averted over the 6-month period assessed. In scenarios involving a fading pandemic, existing vaccination-acquired or infection-acquired immunity provides sufficient protection, and the mandates' benefits are unlikely to exceed their costs. Thus, mandates may be most useful when the consequences of inaction are catastrophic. However, we do not compare the effects of mandates with alternative policies for increasing vaccination rates or for promoting other protective measures, which may receive stronger public support and be less likely to be overturned by litigation.
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Affiliation(s)
- Maddalena Ferranna
- Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, California, USA
| | - Lisa A Robinson
- Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
| | | | - Michael R Eber
- Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
- Harvard Graduate School of Arts and Sciences, Harvard University, Cambridge, Massachusetts, USA
| | - David E Bloom
- Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
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Whitaker HJ, Tsang RSM, Byford R, Aspden C, Button E, Sebastian Pillai P, Jamie G, Kar D, Williams J, Sinnathamby M, Marsden G, Elson WH, Leston M, Anand S, Okusi C, Fan X, Linley E, Rowe C, DArcangelo S, Otter AD, Ellis J, Hobbs FDR, Tzortziou-Brown V, Zambon M, Ramsay M, Brown KE, Amirthalingam G, Andrews NJ, de Lusignan S, Lopez Bernal J. COVID-19 vaccine effectiveness against hospitalisation and death of people in clinical risk groups during the Delta variant period: English primary care network cohort study. J Infect 2023; 87:315-327. [PMID: 37579793 DOI: 10.1016/j.jinf.2023.08.005] [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: 02/10/2023] [Revised: 08/07/2023] [Accepted: 08/09/2023] [Indexed: 08/16/2023]
Abstract
BACKGROUND COVID-19 vaccines have been shown to be highly effective against hospitalisation and death following COVID-19 infection. COVID-19 vaccine effectiveness estimates against severe endpoints among individuals with clinical conditions that place them at increased risk of critical disease are limited. METHODS We used English primary care medical record data from the Oxford-Royal College of General Practitioners Research and Surveillance Centre sentinel network (N > 18 million). Data were linked to the National Immunisation Management Service database, Second Generation Surveillance System for virology test data, Hospital Episode Statistics, and death registry data. We estimated adjusted vaccine effectiveness (aVE) against COVID-19 infection followed by hospitalisation and death among individuals in specific clinical risk groups using a cohort design during the delta-dominant period. We also report mortality statistics and results from our antibody surveillance in this population. FINDINGS aVE against severe endpoints was high, 14-69d following a third dose aVE was 96.4% (95.1%-97.4%) and 97.9% (97.2%-98.4%) for clinically vulnerable people given a Vaxzevria and Comirnaty primary course respectively. Lower aVE was observed in the immunosuppressed group: 88.6% (79.1%-93.8%) and 91.9% (85.9%-95.4%) for Vaxzevria and Comirnaty respectively. Antibody levels were significantly lower among the immunosuppressed group than those not in this risk group across all vaccination types and doses. The standardised case fatality rate within 28 days of a positive test was 3.9/1000 in people not in risk groups, compared to 12.8/1000 in clinical risk groups. Waning aVE with time since 2nd dose was also demonstrated, for example, Comirnaty aVE against hospitalisation reduced from 96.0% (95.1-96.7%) 14-69days post-dose 2-82.9% (81.4-84.2%) 182days+ post-dose 2. INTERPRETATION In all clinical risk groups high levels of vaccine effectiveness against severe endpoints were seen. Reduced vaccine effectiveness was noted among the immunosuppressed group.
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Affiliation(s)
- Heather J Whitaker
- Statistics, Modelling and Economics Department, UK Health Security Agency, 61 Colindale Avenue, London NW9 5EQ, UK
| | - Ruby S M Tsang
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - Rachel Byford
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - Carole Aspden
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - Elizabeth Button
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | | | - Gavin Jamie
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - Debasish Kar
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - John Williams
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - Mary Sinnathamby
- Immunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London NW9 5EQ, UK
| | - Gemma Marsden
- Royal College of General Practitioners Research and Surveillance Centre, Euston Square, London NW1 2FB, UK
| | - William H Elson
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - Meredith Leston
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - Sneha Anand
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - Cecilia Okusi
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - Xuejuan Fan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - Ezra Linley
- Vaccine Evaluation Unit, UK Health Security Agency, Manchester M13 9WL, UK
| | - Cathy Rowe
- Diagnostics and Genomics, UK Health Security Agency, Porton Down, Salisbury SP4 0JG, UK
| | - Silvia DArcangelo
- Diagnostics and Genomics, UK Health Security Agency, Porton Down, Salisbury SP4 0JG, UK
| | - Ashley D Otter
- Diagnostics and Genomics, UK Health Security Agency, Porton Down, Salisbury SP4 0JG, UK
| | - Joanna Ellis
- Immunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London NW9 5EQ, UK; Virus Reference Laboratory, UK Health Security Agency, 61 Colindale Avenue, London NW9 5EQ, UK
| | - F D Richard Hobbs
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - Victoria Tzortziou-Brown
- Royal College of General Practitioners Research and Surveillance Centre, Euston Square, London NW1 2FB, UK
| | - Maria Zambon
- Virus Reference Laboratory, UK Health Security Agency, 61 Colindale Avenue, London NW9 5EQ, UK
| | - Mary Ramsay
- Immunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London NW9 5EQ, UK
| | - Kevin E Brown
- Immunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London NW9 5EQ, UK
| | - Gayatri Amirthalingam
- Immunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London NW9 5EQ, UK
| | - Nick J Andrews
- Statistics, Modelling and Economics Department, UK Health Security Agency, 61 Colindale Avenue, London NW9 5EQ, UK; Immunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London NW9 5EQ, UK
| | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK; Royal College of General Practitioners Research and Surveillance Centre, Euston Square, London NW1 2FB, UK
| | - Jamie Lopez Bernal
- Immunisation and Vaccine Preventable Diseases Division, UK Health Security Agency, 61 Colindale Avenue, London NW9 5EQ, UK.
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Horga A, Saenz R, Yilmaz G, Simón-Campos A, Pietropaolo K, Stubbings WJ, Collinson N, Ishak L, Zrinscak B, Belanger B, Granier C, Lin K, C Hurt A, Zhou XJ, Wildum S, Hammond J. Oral bemnifosbuvir (AT-527) vs placebo in patients with mild-to-moderate COVID-19 in an outpatient setting (MORNINGSKY). Future Virol 2023; 18:10.2217/fvl-2023-0115. [PMID: 37928891 PMCID: PMC10621114 DOI: 10.2217/fvl-2023-0115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 09/29/2023] [Indexed: 11/07/2023]
Abstract
Aim: This phase III study assessed the efficacy/safety/antiviral activity/pharmacokinetics of bemnifosbuvir, a novel, oral nucleotide analog to treat COVID-19. Patients & methods: Outpatient adults/adolescents with mild-to-moderate COVID-19 were randomized 2:1 to bemnifosbuvir/placebo. Time to symptom alleviation/improvement (primary outcome), risk of hospitalization/death, viral load and safety were evaluated. Results: Although the study was discontinued prematurely and did not meet its primary end point, bemnifosbuvir treatment resulted in fewer hospitalizations (71% relative risk reduction), COVID-19-related medically attended hospital visits, and COVID-19-related complications compared with placebo. No reduction in viral load was observed. The proportion of patients with adverse events was similar; no deaths occurred. Conclusion: Bemnifosbuvir showed hospitalization reduction in patients with variable disease progression risk and was well tolerated. Clinical Trial Registration: NCT04889040 (ClinicalTrials.gov).
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Affiliation(s)
| | | | - Gürdal Yilmaz
- Karadeniz Technical University, Trabzon, 61080, Turkey
| | | | | | | | - Neil Collinson
- Roche Products Limited, Welwyn Garden City, AL7 1TW, Hertfordshire, UK
| | - Laura Ishak
- Atea Pharmaceuticals, Inc, Boston, MA 02110, USA
| | | | | | - Catherine Granier
- Roche Products Limited, Welwyn Garden City, AL7 1TW, Hertfordshire, UK
| | - Kai Lin
- Atea Pharmaceuticals, Inc, Boston, MA 02110, USA
| | - Aeron C Hurt
- F. Hoffmann-La Roche Ltd, Basel, 4070, Switzerland
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Wang H, Cui M, Li S, Wu F, Jiang S, Chen H, Yuan J, Sun C. Perception and willingness toward various immunization routes for COVID-19 vaccines: a cross-sectional survey in China. Front Public Health 2023; 11:1192709. [PMID: 37818300 PMCID: PMC10560725 DOI: 10.3389/fpubh.2023.1192709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 08/31/2023] [Indexed: 10/12/2023] Open
Abstract
Background To date, most vaccines, including the COVID-19 vaccine, are mainly administered by intramuscular injection, which might lead to vaccine hesitancy in some populations due to needle fear. Alternatively, needle-free immunization technology is extensively developed to improve the efficacy and acceptance of vaccination. However, there is no study to report the perception and willingness toward various immunization routes of the COVID-19 vaccine in the general population. Methods A cross-sectional survey was conducted nationwide using an online questionnaire. Bivariate analyses were undertaken to assess variable associations among the participants who reported a hesitancy to receive the COVID-19 booster vaccination. Multivariable logistic regression with a backward step-wise approach was used to analyze the predicted factors associated with the willingness to receive the COVID-19 booster vaccination. Results A total of 3,244 valid respondents were included in this survey, and 63.2% of participants thought they had a good understanding of intramuscular injection, but only 20.7, 9.2, 9.4, and 6.0% of participants had a self-perceived good understanding of inhalation vaccine, nasal spray vaccine, oral vaccine, and microneedle patch vaccine. Correspondingly, there was high acceptance for intramuscular injection (76.5%), followed by oral inhalation (64.4%) and nasal spray (43.0%). Those participants who were only willing to receive an intramuscular vaccine had less vaccine knowledge (OR = 0.78; 95% CI: 0.65-0.94) than those who were willing to receive a needle-free vaccine (OR = 1.97; 95% CI: 1.52-2.57). Some factors were found to be associated with vaccine hesitancy toward booster COVID-19 vaccination. Conclusion Needle-free vaccination is a promising technology for the next generation of vaccines, but we found that intramuscular injection was still the most acceptable immunization route in this survey. One major reason might be that most people lack knowledge about needle-free vaccination. We should strengthen the publicity of needle-free vaccination technology, and thus improve the acceptance and coverage of vaccination in different populations.
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Affiliation(s)
- Haohang Wang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Mingting Cui
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Shunran Li
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Fan Wu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Shiqiang Jiang
- Nanshan District Center for Disease Control and Prevention, Shenzhen, China
| | - Hongbiao Chen
- Department of Epidemiology and Infectious Disease Control, Longhua Key Discipline of Public Health for the Prevention and Control of Infectious Diseases, Longhua Centre for Disease Control and Prevention, Shenzhen, China
| | - Jianhui Yuan
- Nanshan District Center for Disease Control and Prevention, Shenzhen, China
| | - Caijun Sun
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, China
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Thakkar K, Spinardi JR, Yang J, Kyaw MH, Ozbilgili E, Mendoza CF, Oh HML. Impact of vaccination and non-pharmacological interventions on COVID-19: a review of simulation modeling studies in Asia. Front Public Health 2023; 11:1252719. [PMID: 37818298 PMCID: PMC10560858 DOI: 10.3389/fpubh.2023.1252719] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 09/07/2023] [Indexed: 10/12/2023] Open
Abstract
Introduction Epidemiological modeling is widely used to offer insights into the COVID-19 pandemic situation in Asia. We reviewed published computational (mathematical/simulation) models conducted in Asia that assessed impacts of pharmacological and non-pharmacological interventions against COVID-19 and their implications for vaccination strategy. Methods A search of the PubMed database for peer-reviewed, published, and accessible articles in English was performed up to November 2022 to capture studies in Asian populations based on computational modeling of outcomes in the COVID-19 pandemic. Extracted data included model type (mechanistic compartmental/agent-based, statistical, both), intervention type (pharmacological, non-pharmacological), and procedures for parameterizing age. Findings are summarized with descriptive statistics and discussed in terms of the evolving COVID-19 situation. Results The literature search identified 378 results, of which 59 met criteria for data extraction. China, Japan, and South Korea accounted for approximately half of studies, with fewer from South and South-East Asia. Mechanistic models were most common, either compartmental (61.0%), agent-based (1.7%), or combination (18.6%) models. Statistical modeling was applied less frequently (11.9%). Pharmacological interventions were examined in 59.3% of studies, and most considered vaccination, except one study of an antiviral treatment. Non-pharmacological interventions were also considered in 84.7% of studies. Infection, hospitalization, and mortality were outcomes in 91.5%, 30.5%, and 30.5% of studies, respectively. Approximately a third of studies accounted for age, including 10 that also examined mortality. Four of these studies emphasized benefits in terms of mortality from prioritizing older adults for vaccination under conditions of a limited supply; however, one study noted potential benefits to infection rates from early vaccination of younger adults. Few studies (5.1%) considered the impact of vaccination among children. Conclusion Early in the COVID-19 pandemic, non-pharmacological interventions helped to mitigate the health burden of COVID-19; however, modeling indicates that high population coverage of effective vaccines will complement and reduce reliance on such interventions. Thus, increasing and maintaining immunity levels in populations through regular booster shots, particularly among at-risk and vulnerable groups, including older adults, might help to protect public health. Future modeling efforts should consider new vaccines and alternative therapies alongside an evolving virus in populations with varied vaccination histories.
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Affiliation(s)
- Karan Thakkar
- Vaccine Medical Affairs, Emerging Markets, Pfizer Inc., Singapore, Singapore
| | | | - Jingyan Yang
- Vaccine Global Value and Access, Pfizer Inc., New York, NY, United States
| | - Moe H. Kyaw
- Vaccine Medical Affairs, Emerging Markets, Pfizer Inc., Reston, VA, United States
| | - Egemen Ozbilgili
- Asia Cluster Medical Affairs, Emerging Markets, Pfizer Inc., Singapore, Singapore
| | | | - Helen May Lin Oh
- Department of Infectious Diseases, Changi General Hospital, Singapore, Singapore
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Sternberg MR, Johnson A, King J, Ali AR, Linde L, Awofeso AO, Baker JS, Bayoumi NS, Broadway S, Busen K, Chang C, Cheng I, Cima M, Collingwood A, Dorabawila V, Drenzek C, Fleischauer A, Gent A, Hartley A, Hicks L, Hoskins M, Jara A, Jones A, Khan SI, Kamal-Ahmed I, Kangas S, Kanishka FNU, Kleppinger A, Kocharian A, León TM, Link-Gelles R, Lyons BC, Masarik J, May A, McCormick D, Meyer S, Milroy L, Morris KJ, Nelson L, Omoike E, Patel K, Pietrowski M, Pike MA, Pilishvili T, Peterson Pompa X, Powell C, Praetorius K, Rosenberg E, Schiller A, Smith-Coronado ML, Stanislawski E, Strand K, Tilakaratne BP, Vest H, Wiedeman C, Zaldivar A, Silk B, Scobie HM. Application of a life table approach to assess duration of BNT162b2 vaccine-derived immunity by age using COVID-19 case surveillance data during the Omicron variant period. PLoS One 2023; 18:e0291678. [PMID: 37729332 PMCID: PMC10511074 DOI: 10.1371/journal.pone.0291678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 09/01/2023] [Indexed: 09/22/2023] Open
Abstract
BACKGROUND SARS-CoV-2 Omicron variants have the potential to impact vaccine effectiveness and duration of vaccine-derived immunity. We analyzed U.S. multi-jurisdictional COVID-19 vaccine breakthrough surveillance data to examine potential waning of protection against SARS-CoV-2 infection for the Pfizer-BioNTech (BNT162b) primary vaccination series by age. METHODS Weekly numbers of SARS-CoV-2 infections during January 16, 2022-May 28, 2022 were analyzed by age group from 22 U.S. jurisdictions that routinely linked COVID-19 case surveillance and immunization data. A life table approach incorporating line-listed and aggregated COVID-19 case datasets with vaccine administration and U.S. Census data was used to estimate hazard rates of SARS-CoV-2 infections, hazard rate ratios (HRR) and percent reductions in hazard rate comparing unvaccinated people to people vaccinated with a Pfizer-BioNTech primary series only, by age group and time since vaccination. RESULTS The percent reduction in hazard rates for persons 2 weeks after vaccination with a Pfizer-BioNTech primary series compared with unvaccinated persons was lowest among children aged 5-11 years at 35.5% (95% CI: 33.3%, 37.6%) compared to the older age groups, which ranged from 68.7%-89.6%. By 19 weeks after vaccination, all age groups showed decreases in the percent reduction in the hazard rates compared with unvaccinated people; with the largest declines observed among those aged 5-11 and 12-17 years and more modest declines observed among those 18 years and older. CONCLUSIONS The decline in vaccine protection against SARS-CoV-2 infection observed in this study is consistent with other studies and demonstrates that national case surveillance data were useful for assessing early signals in age-specific waning of vaccine protection during the initial period of SARS-CoV-2 Omicron variant predominance. The potential for waning immunity during the Omicron period emphasizes the importance of continued monitoring and consideration of optimal timing and provision of booster doses in the future.
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Affiliation(s)
- Maya R. Sternberg
- COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Amelia Johnson
- COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Justice King
- COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Akilah R. Ali
- COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Lauren Linde
- COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Abiola O. Awofeso
- Community Health Administration, DC Department of Health, Washington, District of Columbia, United States of America
| | - Jodee S. Baker
- Division of Population Health, Utah Department of Health and Human Services, Salt Lake City, Utah, United States of America
| | - Nagla S. Bayoumi
- Communicable Disease Service, New Jersey Department of Health, Trenton, New Jersey, United States of America
| | - Steven Broadway
- Division of Disease Control and Health Protection, Florida Department of Health, Tallahassee, Florida, United States of America
| | - Katherine Busen
- Division of Communicable Disease, Michigan Department of Health and Human Services, Lansing, Michigan, United States of America
| | - Carolyn Chang
- Communicable Disease Service, New York City Department of Health and Mental Hygiene, Long Island City, New York, United States of America
| | - Iris Cheng
- Bureau of Immunization, New York City Department of Health and Mental Hygiene, Long Island City, New York, United States of America
| | - Mike Cima
- Epidemilogy, Arkansas Department of Health, Little Rock, Arkansas, United States of America
| | - Abi Collingwood
- Division of Population Health, Utah Department of Health and Human Services, Salt Lake City, Utah, United States of America
| | - Vajeera Dorabawila
- Bureau of Surveillance and Data Systems, Division of Epidemiology, Albany, New York State Department of Health, New York, NY, United States of America
| | - Cherie Drenzek
- Acute Epidemiology, Georgia Department of Public Health, Atlanta, Georgia, United States of America
| | - Aaron Fleischauer
- COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Ashley Gent
- Division of Disease Control and Health Protection, Florida Department of Health, Tallahassee, Florida, United States of America
| | - Amanda Hartley
- Communicable and Environmental Diseases and Emergency Preparedness, Nashville, Tennessee Department of Health, Nashville, Tennessee, United States of America
| | - Liam Hicks
- Bureau of Infectious Disease and Services, Arizona Department of Health Services, Phoenix, Arizona, United States of America
| | - Mikhail Hoskins
- Communicable Disease, North Carolina Department of Health and Human Services, Raleigh, North Carolina, United States of America
| | - Amanda Jara
- Acute Epidemiology, Georgia Department of Public Health, Atlanta, Georgia, United States of America
| | - Amanda Jones
- COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Saadiah I. Khan
- Communicable Disease Service, New Jersey Department of Health, Trenton, New Jersey, United States of America
| | - Ishrat Kamal-Ahmed
- Division of Public Health, Nebraska Department of Health and Human Services, Lincoln, Nebraska, United States of America
| | - Sarah Kangas
- COVID-19 Data and Surveillance Unit, Wisconsin Department of Health Services, Madison, Wisconsin, United States of America
| | - FNU Kanishka
- Division of Public Health, Nebraska Department of Health and Human Services, Lincoln, Nebraska, United States of America
| | - Alison Kleppinger
- Epidemiology and Infectious Disease Section, Connecticut Department of Public Health, Hartford, Connecticut, United States of America
| | - Anna Kocharian
- COVID-19 Data and Surveillance Unit, Wisconsin Department of Health Services, Madison, Wisconsin, United States of America
| | - Tomás M. León
- Center for Infectious Diseases, California Department of Public Health, Sacramento, California, United States of America
| | - Ruth Link-Gelles
- COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - B. Casey Lyons
- COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - John Masarik
- Community Health Administration, DC Department of Health, Washington, District of Columbia, United States of America
| | - Andrea May
- Bureau of Epidemiology and Public Health Informatics, Kansas Department of Health and Environment, Kansas, Missouri, United States of America
| | - Donald McCormick
- Epidemilogy, Arkansas Department of Health, Little Rock, Arkansas, United States of America
| | - Stephanie Meyer
- Infectious Disease Epidemiology, Prevention and Control Division, Minnesota Department of Health, Saint Paul, Minnesota, United States of America
| | - Lauren Milroy
- Disease Epidemiology and Prevention Division, Indiana Department of Health, Indianapolis, Indiana, United States of America
| | - Keeley J. Morris
- Infectious Disease Epidemiology, Prevention and Control Division, Minnesota Department of Health, Saint Paul, Minnesota, United States of America
| | - Lauren Nelson
- Center for Infectious Diseases, California Department of Public Health, Sacramento, California, United States of America
| | - Enaholo Omoike
- Division of Communicable Disease, Michigan Department of Health and Human Services, Lansing, Michigan, United States of America
| | - Komal Patel
- Acute Epidemiology, Georgia Department of Public Health, Atlanta, Georgia, United States of America
| | - Michael Pietrowski
- Division of Disease Control, Philadelphia Department of Public Health, Philadelphia, Pennsylvania, United States of America
| | - Melissa A. Pike
- Disease Control and Public Health Response Division, Colorado Department of Public Health and Environment, Denver, Colorado, United States of America
| | - Tamara Pilishvili
- COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Xandy Peterson Pompa
- Bureau of Infectious Disease and Services, Arizona Department of Health Services, Phoenix, Arizona, United States of America
| | - Charles Powell
- Epidemiology and Infectious Disease Section, Connecticut Department of Public Health, Hartford, Connecticut, United States of America
| | | | - Eli Rosenberg
- Bureau of Surveillance and Data Systems, Division of Epidemiology, Albany, New York State Department of Health, New York, NY, United States of America
| | - Adam Schiller
- COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Mayra L. Smith-Coronado
- Disease Control and Public Health Response Division, Colorado Department of Public Health and Environment, Denver, Colorado, United States of America
| | - Emma Stanislawski
- Epidemiology and Response Division, New Mexico Department of Health, Santa Fe, New Mexico, United States of America
| | - Kyle Strand
- Division of Public Health, Nebraska Department of Health and Human Services, Lincoln, Nebraska, United States of America
| | - Buddhi P. Tilakaratne
- Community Health Administration, DC Department of Health, Washington, District of Columbia, United States of America
| | - Hailey Vest
- Disease Epidemiology and Prevention Division, Indiana Department of Health, Indianapolis, Indiana, United States of America
| | - Caleb Wiedeman
- Communicable and Environmental Diseases and Emergency Preparedness, Nashville, Tennessee Department of Health, Nashville, Tennessee, United States of America
| | - Allison Zaldivar
- Bureau of Epidemiology and Public Health Informatics, Kansas Department of Health and Environment, Kansas, Missouri, United States of America
| | - Benjamin Silk
- COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Heather M. Scobie
- COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
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Yao T, Guo Y, Xu X, Zhang X, Mu S, Huo J, Wei Z, Liu L, Li X, Li H, Xing R, Feng Y, Chen J, Feng L, Wang S. Predictors of immune persistence induced by two-dose BBIBP-CorV vaccine in high-risk occupational population. Vaccine 2023; 41:5910-5917. [PMID: 37604725 DOI: 10.1016/j.vaccine.2023.08.042] [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: 08/09/2022] [Revised: 08/15/2023] [Accepted: 08/15/2023] [Indexed: 08/23/2023]
Abstract
BACKGROUND The immune protection from infection may wane over time as neutralizing antibody levels decline. We aimed to develop a nomogram to predict long-term immune persistence induced by two-dose BBIBP-CorV vaccine and calculate the neutralizing antibody decline probability of individuals. METHODS In the initial study, a total of 809 participants were recruited and randomly allocated (1:1:1) to vaccination group with three two-dose schedules on days 0 and 14, 0 and 21, or 0 and 28. The participants with neutralizing antibody titers of 16 or above on day 28 after the second dose were followed up at month 3, 6 and 10. Multivariable Cox proportional hazards regression model and nomogram model were used to identify predictors associated with maintaining of neutralizing antibody levels during 10 months after the second dose. RESULTS A total of 744 participants followed up at day 28 after the second dose. The participants with age ≥ 50 (aHR = 3.556, 95 %CI: 1.141-4.884, P = 0.028) were associated with a high risk of response loss (titers < 16). The participants who were in 0-28 d group (aHR = 0.403, 95 %CI: 0.177-0.919, P = 0.031), had an influenza vaccination history (aHR = 0.468, 95 %CI: 0.267-0.921, P = 0.033) or were female (aHR = 0.542, 95 %CI: 0.269-0.935, P = 0.035) tended to maintain immune persistence during 10 months after the second dose. The nomogram was constructed and showed moderate discrimination[C-index:0.711 (95 %CI: 0.652-0.770); AUC: 0.731 (95 %CI: 0.663-0.792)] and good calibration. CONCLUSIONS From 28 days to 10 months after receipt of the second dose of the BBIBP-CorV vaccine, neutralizing antibody levels were substantially decreased, especially among men, among persons 50 years of age or older, among persons with the 0-14 d group, and among persons without history of influenza vaccination. TRIAL REGISTRATION Chinese Clinical Trial Registry, ChiCTR2100041705, ChiCTR2100041706.
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Affiliation(s)
- Tian Yao
- First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China; Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China
| | - Yana Guo
- School of Public Health, Shanxi Medical University, Taiyuan, China; Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China
| | - Xiuyang Xu
- School of Public Health, Shanxi Medical University, Taiyuan, China; Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China
| | - Xiaohong Zhang
- Shanxi Provincial Center for Disease Control and Prevention, Taiyuan, China; Shanxi Provincial Key Laboratory for Major Infectious Disease Response, Taiyuan, China
| | - Shengcai Mu
- Shanxi Provincial Center for Disease Control and Prevention, Taiyuan, China; Shanxi Provincial Key Laboratory for Major Infectious Disease Response, Taiyuan, China
| | - Junfeng Huo
- Shanxi Provincial Center for Disease Control and Prevention, Taiyuan, China; Shanxi Provincial Key Laboratory for Major Infectious Disease Response, Taiyuan, China
| | - Zhiyun Wei
- Shanxi Provincial Center for Disease Control and Prevention, Taiyuan, China; Shanxi Provincial Key Laboratory for Major Infectious Disease Response, Taiyuan, China
| | - Ling Liu
- Shanxi Provincial Center for Disease Control and Prevention, Taiyuan, China; Shanxi Provincial Key Laboratory for Major Infectious Disease Response, Taiyuan, China
| | - Xiaoqing Li
- Shanxi Provincial Center for Disease Control and Prevention, Taiyuan, China; Shanxi Provincial Key Laboratory for Major Infectious Disease Response, Taiyuan, China
| | - Hong Li
- Shanxi Provincial Center for Disease Control and Prevention, Taiyuan, China; Shanxi Provincial Key Laboratory for Major Infectious Disease Response, Taiyuan, China
| | - Rongqin Xing
- Outpatient Department of Shanxi Aviation Industry Group Co. LTD, Taiyuan, China
| | - Yongliang Feng
- School of Public Health, Shanxi Medical University, Taiyuan, China; Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China
| | - Jing Chen
- Shanxi Provincial Center for Disease Control and Prevention, Taiyuan, China; Shanxi Provincial Key Laboratory for Major Infectious Disease Response, Taiyuan, China
| | - Lizhong Feng
- Shanxi Provincial Center for Disease Control and Prevention, Taiyuan, China; Shanxi Provincial Key Laboratory for Major Infectious Disease Response, Taiyuan, China.
| | - Suping Wang
- School of Public Health, Shanxi Medical University, Taiyuan, China; Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan, China.
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142
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Rebelo M, Tang C, Coelho AR, Labão-Almeida C, Schneider MM, Tatalick L, Ruivo P, de Miranda MP, Gomes A, Carvalho T, Walker MJ, Ausserwoeger H, Pedro Simas J, Veldhoen M, Knowles TPJ, Silva DA, Shoultz D, Bernardes GJL. De Novo Human Angiotensin-Converting Enzyme 2 Decoy NL-CVX1 Protects Mice From Severe Disease After Severe Acute Respiratory Syndrome Coronavirus 2 Infection. J Infect Dis 2023; 228:723-733. [PMID: 37279654 PMCID: PMC10503951 DOI: 10.1093/infdis/jiad135] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 05/27/2023] [Indexed: 06/08/2023] Open
Abstract
The emergence of novel variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) underscores the need to investigate alternative approaches to prevent infection and treat patients with coronavirus disease 2019. Here, we report the preclinical efficacy of NL-CVX1, a de novo decoy that blocks virus entry into cells by binding with nanomolar affinity and high specificity to the receptor-binding domain of the SARS-CoV-2 spike protein. Using a transgenic mouse model of SARS-CoV-2 infection, we showed that a single prophylactic intranasal dose of NL-CVX1 conferred complete protection from severe disease following SARS-CoV-2 infection. Multiple therapeutic administrations of NL-CVX1 also protected mice from succumbing to infection. Finally, we showed that infected mice treated with NL-CVX1 developed both anti-SARS-CoV-2 antibodies and memory T cells and were protected against reinfection a month after treatment. Overall, these observations suggest NL-CVX1 is a promising therapeutic candidate for preventing and treating severe SARS-CoV-2 infections.
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Affiliation(s)
- Maria Rebelo
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Cong Tang
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Ana R Coelho
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Carlos Labão-Almeida
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Matthias M Schneider
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, United Kingdom
| | | | - Pedro Ruivo
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Marta Pires de Miranda
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Andreia Gomes
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Tânia Carvalho
- Histopathology Unit, Champalimaud Research, Lisboa, Portugal
| | | | - Hannes Ausserwoeger
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, United Kingdom
| | - J Pedro Simas
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
- Católica Biomedical Research and Católica Medical School, Universidade Católica Portuguesa, Lisboa, Portugal
| | - Marc Veldhoen
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Tuomas P J Knowles
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, United Kingdom
| | | | | | - Gonçalo J L Bernardes
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, United Kingdom
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Zhao Y, Wong SWK. A comparative study of compartmental models for COVID-19 transmission in Ontario, Canada. Sci Rep 2023; 13:15050. [PMID: 37700081 PMCID: PMC10497623 DOI: 10.1038/s41598-023-42043-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 09/04/2023] [Indexed: 09/14/2023] Open
Abstract
The number of confirmed COVID-19 cases reached over 1.3 million in Ontario, Canada by June 4, 2022. The continued spread of the virus underlying COVID-19 has been spurred by the emergence of variants since the initial outbreak in December, 2019. Much attention has thus been devoted to tracking and modelling the transmission of COVID-19. Compartmental models are commonly used to mimic epidemic transmission mechanisms and are easy to understand. Their performance in real-world settings, however, needs to be more thoroughly assessed. In this comparative study, we examine five compartmental models-four existing ones and an extended model that we propose-and analyze their ability to describe COVID-19 transmission in Ontario from January 2022 to June 2022.
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Affiliation(s)
- Yuxuan Zhao
- Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, N2L 3G1, Canada
| | - Samuel W K Wong
- Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, N2L 3G1, Canada.
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Norton NJ, Ings DP, Fifield KE, Barnes DA, Barnable KA, Harnum DOA, Holder KA, Russell RS, Grant MD. Characteristics of Vaccine- and Infection-Induced Systemic IgA Anti-SARS-CoV-2 Spike Responses. Vaccines (Basel) 2023; 11:1462. [PMID: 37766138 PMCID: PMC10537135 DOI: 10.3390/vaccines11091462] [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: 07/31/2023] [Revised: 09/03/2023] [Accepted: 09/05/2023] [Indexed: 09/29/2023] Open
Abstract
Mucosal IgA is widely accepted as providing protection against respiratory infections, but stimulation of mucosal immunity, collection of mucosal samples and measurement of mucosal IgA can be problematic. The relationship between mucosal and circulating IgA responses is unclear, however, whole blood is readily collected and circulating antigen-specific IgA easily measured. We measured circulating IgA against SARS-CoV-2 spike (S) to investigate vaccine- and infection-induced production and correlation with protection. Circulating IgA against ancestral (Wuhan-Hu-1) and Omicron (BA.1) S proteins was measured at different time points in a total of 143 subjects with varied backgrounds of vaccination and infection. Intramuscular vaccination induced circulating anti-SARS-CoV-2 S IgA. Subjects with higher levels of vaccine-induced IgA against SARS-CoV-2 S (p = 0.0333) or receptor binding domain (RBD) (p = 0.0266) were less likely to experience an Omicron breakthrough infection. The same associations did not hold for circulating IgG anti-SARS-CoV-2 S levels. Breakthrough infection following two vaccinations generated stronger IgA anti-SARS-CoV-2 S responses (p = 0.0002) than third vaccinations but did not selectively increase circulating IgA against Omicron over ancestral S, indicating immune imprinting of circulating IgA responses. Circulating IgA against SARS-CoV-2 S following breakthrough infection remained higher than vaccine-induced levels for over 150 days. In conclusion, intramuscular mRNA vaccination induces circulating IgA against SARS-CoV-2 S, and higher levels are associated with protection from breakthrough infection. Vaccination with ancestral S enacts imprinting within circulating IgA responses that become apparent after breakthrough infection with Omicron. Breakthrough infection generates stronger and more durable circulating IgA responses against SARS-CoV-2 S than vaccination alone.
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Affiliation(s)
- Natasha J. Norton
- Immunology & Infectious Diseases Program, Division of BioMedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL A1B 3V6, Canada; (N.J.N.); (D.P.I.); (K.E.F.); (D.A.B.); (K.A.B.); (K.A.H.); (R.S.R.)
| | - Danielle P. Ings
- Immunology & Infectious Diseases Program, Division of BioMedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL A1B 3V6, Canada; (N.J.N.); (D.P.I.); (K.E.F.); (D.A.B.); (K.A.B.); (K.A.H.); (R.S.R.)
| | - Kathleen E. Fifield
- Immunology & Infectious Diseases Program, Division of BioMedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL A1B 3V6, Canada; (N.J.N.); (D.P.I.); (K.E.F.); (D.A.B.); (K.A.B.); (K.A.H.); (R.S.R.)
| | - David A. Barnes
- Immunology & Infectious Diseases Program, Division of BioMedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL A1B 3V6, Canada; (N.J.N.); (D.P.I.); (K.E.F.); (D.A.B.); (K.A.B.); (K.A.H.); (R.S.R.)
| | - Keeley A. Barnable
- Immunology & Infectious Diseases Program, Division of BioMedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL A1B 3V6, Canada; (N.J.N.); (D.P.I.); (K.E.F.); (D.A.B.); (K.A.B.); (K.A.H.); (R.S.R.)
| | | | - Kayla A. Holder
- Immunology & Infectious Diseases Program, Division of BioMedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL A1B 3V6, Canada; (N.J.N.); (D.P.I.); (K.E.F.); (D.A.B.); (K.A.B.); (K.A.H.); (R.S.R.)
| | - Rodney S. Russell
- Immunology & Infectious Diseases Program, Division of BioMedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL A1B 3V6, Canada; (N.J.N.); (D.P.I.); (K.E.F.); (D.A.B.); (K.A.B.); (K.A.H.); (R.S.R.)
| | - Michael D. Grant
- Immunology & Infectious Diseases Program, Division of BioMedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL A1B 3V6, Canada; (N.J.N.); (D.P.I.); (K.E.F.); (D.A.B.); (K.A.B.); (K.A.H.); (R.S.R.)
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Farnsworth CW, O’Neil CA, Dalton C, McDonald D, Vogt L, Hock K, Arter O, Wallace MA, Muenks C, Amor M, Alvarado K, Peacock K, Jolani K, Fraser VJ, Burnham CAD, Babcock HM, Budge PJ, Kwon JH. Association between SARS-CoV-2 Symptoms, Ct Values, and Serological Response in Vaccinated and Unvaccinated Healthcare Personnel. J Appl Lab Med 2023; 8:871-886. [PMID: 37478837 PMCID: PMC10482509 DOI: 10.1093/jalm/jfad042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 05/15/2023] [Indexed: 07/23/2023]
Abstract
BACKGROUND SARS-CoV-2 vaccines are effective at reducing symptomatic and asymptomatic COVID-19. Limited studies have compared symptoms, threshold cycle (Ct) values from reverse transcription (RT)-PCR testing, and serological testing results between previously vaccinated vs unvaccinated populations with SARS-CoV-2 infection. METHODS Healthcare personnel (HCP) with a positive SARS-CoV-2 RT-PCR test within the previous 14 to 28 days completed surveys including questions about demographics, medical conditions, social factors, and symptoms of COVID-19. Ct values were observed, and serological testing was performed for anti-nucleocapsid (anti-N) and anti-Spike (anti-S) antibodies at enrollment and 40 to 90 days later. Serological results were compared to HCP with no known SARS-CoV-2 infection and negative anti-N testing. RESULTS There were 104 unvaccinated/not fully vaccinated and 77 vaccinated HCP with 2 doses of an mRNA vaccine at time of infection. No differences in type or duration of symptoms were reported (P = 0.45). The median (interquartile range [IQR]) Ct was 21.4 (17.6-24.6) and 21.5 (18.1-24.6) for the unvaccinated and vaccinated HCP, respectively. Higher anti-N IgG was observed in unvaccinated HCP (5.08 S/CO, 3.08-6.92) than vaccinated (3.61 signal to cutoff ratio [S/CO], 2.16-5.05). Anti-S IgG was highest among vaccinated HCP with infection (34 285 aribitrary units [AU]/mL, 17 672-61 775), followed by vaccinated HCP with no prior infection (1452 AU/mL, 791-2943), then unvaccinated HCP with infection (829 AU/mL, 290-1555). Anti-S IgG decreased 1.56% (0.9%-1.79%) per day in unvaccinated and 0.38% (0.03%-0.94%) in vaccinated HCP. CONCLUSIONS Vaccinated HCP infected with SARS-CoV-2 reported comparable symptoms and had similar Ct values relative to unvaccinated. However, vaccinated HCP had increased and prolonged anti-S and decreased anti-N response relative to unvaccinated.
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Affiliation(s)
- Christopher W Farnsworth
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, United States
| | - Caroline A O’Neil
- Department of Medicine, Division of Infectious Diseases, Washington University School of Medicine, St. Louis, MO, United States
| | - Claire Dalton
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, United States
| | - David McDonald
- Department of Medicine, Division of Infectious Diseases, Washington University School of Medicine, St. Louis, MO, United States
| | - Lucy Vogt
- Department of Medicine, Division of Infectious Diseases, Washington University School of Medicine, St. Louis, MO, United States
| | - Karl Hock
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, United States
| | - Olivia Arter
- Department of Medicine, Division of Infectious Diseases, Washington University School of Medicine, St. Louis, MO, United States
| | - Meghan A Wallace
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, United States
| | - Carol Muenks
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, United States
| | - Mostafa Amor
- Department of Medicine, Division of Infectious Diseases, Washington University School of Medicine, St. Louis, MO, United States
| | - Kelly Alvarado
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, United States
| | - Kate Peacock
- Department of Medicine, Division of Infectious Diseases, Washington University School of Medicine, St. Louis, MO, United States
| | - Kevin Jolani
- Department of Medicine, Division of Infectious Diseases, Washington University School of Medicine, St. Louis, MO, United States
| | - Victoria J Fraser
- Department of Medicine, Division of Infectious Diseases, Washington University School of Medicine, St. Louis, MO, United States
| | - Carey-Ann D Burnham
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, United States
| | - Hilary M Babcock
- Department of Medicine, Division of Infectious Diseases, Washington University School of Medicine, St. Louis, MO, United States
| | - Phillip J Budge
- Department of Medicine, Division of Infectious Diseases, Washington University School of Medicine, St. Louis, MO, United States
| | - Jennie H Kwon
- Department of Medicine, Division of Infectious Diseases, Washington University School of Medicine, St. Louis, MO, United States
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Wan EYF, Zhang R, Mathur S, Yan VKC, Lai FTT, Chui CSL, Li X, Wong CKH, Chan EWY, Lau CS, Wong ICK. Post-acute sequelae of COVID-19 in older persons: multi-organ complications and mortality. J Travel Med 2023; 30:taad082. [PMID: 37310901 DOI: 10.1093/jtm/taad082] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 05/29/2023] [Accepted: 06/10/2023] [Indexed: 06/15/2023]
Abstract
INTRODUCTION Evidence on long-term associations between coronavirus disease 2019 (COVID-19) and risks of multi-organ complications and mortality in older population is limited. This study evaluates these associations. RESEARCH DESIGN AND METHODS The cohorts included patients aged ≥60 year diagnosed with COVID-19 infection (cases), between 16 March 2020 and 31 May 2021 from the UK Biobank; and between 01 April 2020 and 31 May 2022 from the electronic health records in Hong Kong. Each patient was randomly matched with individuals without COVID-19 infection based on year of birth and sex and were followed for up to 18 months until 31 August 2021 for UKB, and up to 28 months until 15 August 2022 for HK cohort. Patients with COVID-19 infection over 6 months after the date of last dose of vaccination and their corresponding controls were excluded from our study. Characteristics between cohorts were further adjusted with Inverse Probability Treatment Weighting. For evaluating long-term association of COVID-19 with multi-organ disease complications and mortality after 21-days of diagnosis, Cox regression was employed. RESULT 10,759 (UKB) and 165,259 (HK) older adults with COVID-19 infection with matched 291,077 (UKB) and 1,100,394 (HK) non-COVID-19-diagnosed older adults were recruited. Older adults with COVID-19 were associated with a significantly higher risk of cardiovascular outcomes [major cardiovascular disease (stroke, heart failure and coronary heart disease): hazard ratio(UKB): 1.4 (95% Confidence interval: 1.1,1.6), HK:1.2 (95% CI: 1.1,1.3)]; myocardial infarction: HR(UKB): 1.8 (95% CI: 1.3,2.4), HK:1.2 (95% CI: 1.0,1.4)]; respiratory outcomes [interstitial lung disease: HR(UKB: 3.4 (95% CI: 2.5,4.5), HK: 4.0 (95% CI: 1.3,12.8); chronic pulmonary disease: HR(UKB): 1.7 (95% CI: 1.3,2.2), HK:1.6 (95% CI: 1.3,2.1)]; neuropsychiatric outcomes [seizure: HR(UKB): 2.6 (95% CI: 1.7,4.1), HK: 1.6 (95% CI: 1.2,2.1)]; and renal outcomes [acute kidney disease: HR(UKB): 1.4 (95% CI: 1.1,1.6), HK:1.6 (95% CI: 1.3,2.1)]; and all-cause mortality [HR(UKB): 4.9 (95% CI: 4.4,5.4), HK:2.5 (95% CI: 2.5,2.6)]. CONCLUSION COVID-19 is associated with long-term risks of multi-organ complications in older adults (aged ≥ 60). Infected patients in this age-group may benefit from appropriate monitoring of signs/symptoms for developing these complications.
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Affiliation(s)
- Eric Yuk Fai Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Ran Zhang
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Sukriti Mathur
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Vincent Ka Chun Yan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Francisco Tsz Tsun Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Carlos King Ho Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China
- Department of Pharmacy, The University of Hong Kong-Shenzhen Hospital, Shenzhen 518053, China
- The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen 518053, China
| | - Chak Sing Lau
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Ian Chi Kei Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China
- Aston Pharmacy School, Aston University, Birmingham B4 7ET, UK
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Ko L, Malet G, Chang LL, Nguyen H, Mayes R. COVID-19 Infection Rates in Vaccinated and Unvaccinated Inmates: A Retrospective Cohort Study. Cureus 2023; 15:e44684. [PMID: 37680261 PMCID: PMC10482361 DOI: 10.7759/cureus.44684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/04/2023] [Indexed: 09/09/2023] Open
Abstract
Background In 2023, breakthrough COVID-19 infections among vaccinated individuals and reinfections in previously infected people have become common. Additionally, infections are due to Omicron subvariants of the virus that behave differently from those at the onset of the pandemic. Understanding how vaccination and natural immunity influence COVID-19 infection rates is crucial, especially in high-density congregate settings such as prisons, to inform public health strategies. Methods We analyzed COVID-19 surveillance data from January to July 2023 across 33 California state prisons, primarily a male population of 96,201 individuals. We computed the incidence rate of new COVID-19 infections among COVID-bivalent-vaccinated and entirely unvaccinated groups (those not having received either the bivalent or monovalent vaccine). Results Our results indicate that the infection rates in the bivalent-vaccinated and entirely unvaccinated groups are 3.24% (95% confidence interval (CI): 3.06-3.42%) and 2.72% (CI: 2.50-2.94%), respectively, with an absolute risk difference of only 0.52%. When the data were filtered for those aged 50 and above, the infection rates were 4.07% (CI: 3.77-4.37%) and 3.1% (CI: 2.46-3.74%), respectively, revealing a mere 0.97% absolute risk difference. Among those aged 65 and above, the infection rates were 6.45% (CI: 5.74-7.16%) and 4.5% (CI: 2.57-6.43%), respectively, with an absolute risk difference of 1.95%. Conclusion We note low infection rates in both the vaccinated and unvaccinated groups, with a small absolute difference between the two across age groups. A combination of monovalent and bivalent vaccines and natural infections likely contributed to immunity and a lower level of infection rates compared to the height of the pandemic. It is possible that a degree of 'herd immunity' has been achieved. Yet, using p<0.05 as the threshold for statistical significance, the bivalent-vaccinated group had a slightly but statistically significantly higher infection rate than the unvaccinated group in the statewide category and the age ≥50 years category. However, in the older age category (≥65 years), there was no significant difference in infection rates between the two groups. This suggests that while the bivalent vaccine might offer protection against severe outcomes, it may not significantly reduce the risk of infections entirely. Further research is needed to understand the reasons behind these findings and to consider other factors, such as underlying health conditions. This study underscores the importance of developing vaccines that target residual COVID-19 infections, especially in regard to evolving COVID-19 variants.
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Affiliation(s)
- Luke Ko
- Biomedical Sciences Pathway Program, California High School, San Ramon, USA
| | - Gary Malet
- Internal Medicine, California Correctional Healthcare Services, Stockton, USA
| | - Lisa L Chang
- College of Education, Governors State University, University Park, USA
| | - Huu Nguyen
- Internal Medicine, California Correctional Healthcare Services, Stockton, USA
| | - Robert Mayes
- Internal Medicine, California Correctional Healthcare Services, Stockton, USA
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Liossi S, Tsiambas E, Maipas S, Papageorgiou E, Lazaris A, Kavantzas N. Mathematical modeling for Delta and Omicron variant of SARS-CoV-2 transmission dynamics in Greece. Infect Dis Model 2023; 8:794-805. [PMID: 37496829 PMCID: PMC10366468 DOI: 10.1016/j.idm.2023.07.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 07/02/2023] [Accepted: 07/05/2023] [Indexed: 07/28/2023] Open
Abstract
A compartmental, epidemiological, mathematical model was developed in order to analyze the transmission dynamics of Delta and Omicron variant, of SARS-CoV-2, in Greece. The model was parameterized twice during the 4th and 5th wave of the pandemic. The 4th wave refers to the period during which the Delta variant was dominant (approximately July to December of 2021) and the 5th wave to the period during which the Omicron variant was dominant (approximately January to May of 2022), in accordance with the official data from the National Public Health Organization (NPHO). Fitting methods were applied to evaluate important parameters in connection with the transmission of the variants, as well as the social behavior of population during these periods of interest. Mathematical models revealed higher numbers of contagiousness and cases of asymptomatic disease during the Omicron variant period, but a decreased rate of hospitalization compared to the Delta period. Also, parameters related to the behavior of the population in Greece were also assessed. More specifically, the use of protective masks and the abidance of social distancing measures. Simulations revealed that over 5,000 deaths could have been avoided, if mask usage and social distancing were 20% more efficient, during the short period of the Delta and Omicron outbreak. Furthermore, the spread of the variants was assessed using viral load data. The data were recorded from PCR tests at 417 Army Equity Fund Hospital (NIMTS), in Athens and the Ct values from 746 patients with COVID-19 were processed, to explain transmission phenomena and disease severity in patients. The period when the Delta variant prevailed in the country, the average Ct value was calculated as 25.19 (range: 12.32-39.29), whereas during the period when the Omicron variant prevailed, the average Ct value was calculated as 28 (range: 14.41-39.36). In conclusion, our experimental study showed that the higher viral load, which is related to the Delta variant, may interpret the severity of the disease. However, no correlation was confirmed regarding contagiousness phenomena. The results of the model, Ct analysis and official data from NPHO are consistent.
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Affiliation(s)
- Sofia Liossi
- 1st Department of Pathology, School of Medicine, National and Kapodistrian University of Athens, Athens General Hospital “Laikon”, Athens, Greece
| | - E. Tsiambas
- Department of Cytopathology, 417 Army Equity Fund Hospital (NIMTS), Athens, Greece
| | - S. Maipas
- 1st Department of Pathology, School of Medicine, National and Kapodistrian University of Athens, Athens General Hospital “Laikon”, Athens, Greece
- Master Program “Environment and Health. Management of Environmental Health Effects”, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - E. Papageorgiou
- Department of Biomedical Sciences, School of Health & Welfare Sciences, University of West Attica, Egaleo, Greece
| | - A. Lazaris
- 1st Department of Pathology, School of Medicine, National and Kapodistrian University of Athens, Athens General Hospital “Laikon”, Athens, Greece
- Master Program “Environment and Health. Management of Environmental Health Effects”, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - N. Kavantzas
- 1st Department of Pathology, School of Medicine, National and Kapodistrian University of Athens, Athens General Hospital “Laikon”, Athens, Greece
- Master Program “Environment and Health. Management of Environmental Health Effects”, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
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Tamada Y, Takeuchi K, Kusama T, Maeda M, Murata F, Osaka K, Fukuda H. Effectiveness of COVID-19 vaccines against infection in Japan: A test-negative study from the VENUS study. Vaccine 2023; 41:5447-5453. [PMID: 37487845 DOI: 10.1016/j.vaccine.2023.07.035] [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: 11/10/2022] [Revised: 07/03/2023] [Accepted: 07/16/2023] [Indexed: 07/26/2023]
Abstract
BACKGROUND Although the effectiveness of coronavirus disease 2019 (COVID-19) vaccines is a crucial public health concern, evidence from Western Pacific countries is limited, including Japan. This study aimed to estimate the COVID-19 vaccines effectiveness (VE) against infection during the Delta variant predominance (July-September 2021) in Japan. METHODS We performed a test-negative study using COVID-19 test data of ≥20-year-old residents in four municipalities who were tested in medical institutions between July 1 and September 30, 2021. We extracted COVID-19 test data from healthcare claims data, and the vaccination status at the testing date was ascertained using the Vaccination Record System data. Confirmed positive cases were identified using data from the national system for COVID-19, Health Center Real-time Information-sharing System on COVID-19. Logistic regression analyses were conducted to estimate the odds of testing positive according to vaccination status. VE was calculated as (1 - odds ratio) × 100%. RESULTS This study included 530 positive and 15,650 negative results. Adjusted manufacturer-unspecified VE was 4.1% (95% confidence interval [CI], -36.5-32.6) at 0-13 days after the first dose, 45.2% (95% CI, 13.4-65.3) at ≥14 days after the first dose, 85.2% (95% CI, 69.9-92.7) at 0-13 days after the second dose, and 79.6% (95% CI, 72.6-84.8) at ≥14 days after the second dose. In addition, the VE after the second dose was highest at 14-34 days after the dose (VE, 89.1%; 95% CI, 80.5-93.9). CONCLUSIONS High real-world effectiveness of COVID-19 vaccines, especially two doses, against infection during the Delta variant predominance in Japan was confirmed.
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Affiliation(s)
- Yudai Tamada
- Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Miyagi, Japan; Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Kenji Takeuchi
- Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Miyagi, Japan; Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan; Division of Statistics and Data Science, Liaison Center for Innovative Dentistry, Tohoku University Graduate School of Dentistry, Miyagi, Japan.
| | - Taro Kusama
- Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Miyagi, Japan; Division of Statistics and Data Science, Liaison Center for Innovative Dentistry, Tohoku University Graduate School of Dentistry, Miyagi, Japan
| | - Megumi Maeda
- Department of Health Care Administration and Management, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan
| | - Fumiko Murata
- Department of Health Care Administration and Management, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan
| | - Ken Osaka
- Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Miyagi, Japan
| | - Haruhisa Fukuda
- Department of Health Care Administration and Management, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan
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150
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Lind ML, Dorion M, Houde AJ, Lansing M, Lapidus S, Thomas R, Yildirim I, Omer SB, Schulz WL, Andrews JR, Hitchings MDT, Kennedy BS, Richeson RP, Cummings DAT, Ko AI. Evidence of leaky protection following COVID-19 vaccination and SARS-CoV-2 infection in an incarcerated population. Nat Commun 2023; 14:5055. [PMID: 37598213 PMCID: PMC10439918 DOI: 10.1038/s41467-023-40750-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 08/07/2023] [Indexed: 08/21/2023] Open
Abstract
Whether SARS-CoV-2 infection and COVID-19 vaccines confer exposure-dependent ("leaky") protection against infection remains unknown. We examined the effect of prior infection, vaccination, and hybrid immunity on infection risk among residents of Connecticut correctional facilities during periods of predominant Omicron and Delta transmission. Residents with cell, cellblock, and no documented exposure to SARS-CoV-2 infected residents were matched by facility and date. During the Omicron period, prior infection, vaccination, and hybrid immunity reduced the infection risk of residents without a documented exposure (HR: 0.36 [0.25-0.54]; 0.57 [0.42-0.78]; 0.24 [0.15-0.39]; respectively) and with cellblock exposures (0.61 [0.49-0.75]; 0.69 [0.58-0.83]; 0.41 [0.31-0.55]; respectively) but not with cell exposures (0.89 [0.58-1.35]; 0.96 [0.64-1.46]; 0.80 [0.46-1.39]; respectively). Associations were similar during the Delta period and when analyses were restricted to tested residents. Although associations may not have been thoroughly adjusted due to dataset limitations, the findings suggest that prior infection and vaccination may be leaky, highlighting the potential benefits of pairing vaccination with non-pharmaceutical interventions in crowded settings.
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Affiliation(s)
- Margaret L Lind
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
| | - Murilo Dorion
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Amy J Houde
- Connecticut Department of Correction, Wethersfield, CT, USA
| | - Mary Lansing
- Connecticut Department of Correction, Wethersfield, CT, USA
| | - Sarah Lapidus
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Russell Thomas
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Inci Yildirim
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
- Department of Pediatrics, Yale School of Medicine, New Haven, CT, USA
| | - Saad B Omer
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
- Yale Institute for Global Health, Yale School of Public Health, New Haven, CT, USA
- UT Southwestern, School of Public Health, Dallas, TX, USA
| | - Wade L Schulz
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Jason R Andrews
- Division of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, CA, USA
| | - Matt D T Hitchings
- Department of Biostatistics, College of Public Health & Health Professions, University of Florida, Gainesville, FL, USA
| | | | | | - Derek A T Cummings
- Department of Biology, University of Florida, Gainesville, FL, USA
- Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA
| | - Albert I Ko
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
- Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, BA, Brazil.
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