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Gascó-Laborda JC, Gil-Fortuño M, Tirado-Balaguer MD, Meseguer-Ferrer N, Sabalza-Baztán O, Pérez-Olaso Ó, Gómez-Alfaro I, Poujois-Gisbert S, Hernández-Pérez N, Lluch-Bacas L, Rusen V, Arnedo-Pena A, Bellido-Blasco JB. Cycle Threshold Values of SARS-CoV-2 RT-PCR during Outbreaks in Nursing Homes: A Retrospective Cohort Study. EPIDEMIOLOGIA 2024; 5:658-668. [PMID: 39449389 PMCID: PMC11503345 DOI: 10.3390/epidemiologia5040046] [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: 09/17/2024] [Revised: 10/07/2024] [Accepted: 10/14/2024] [Indexed: 10/26/2024] Open
Abstract
Backgound/Objectives: Cycle threshold (Ct) values of SARS-CoV-2 real-time reverse transcriptase-polymerase chain reaction (RT-PCR) tests are associated with infectivity and viral load, and they could be an aid in forecasting the evolution of SARS-CoV-2 outbreaks. The objective was to know the Ct values related to the incidence and reinfection of SARS-CoV-2 in successive outbreaks, which took place in nursing homes in Castellon (Spain) during 2020-2022, and to test its usefulness as an instrument of epidemic surveillance in nursing homes. METHODS a retrospective cohort design with Poisson regression and multinomial logistic regression were used. RESULTS We studied four nursing home SARS-CoV-2 outbreaks, and the average infection rate, reinfection rate, and case fatality were 72.7%, 19.9%, and 5.5%, respectively; 98.9% of residents were vaccinated with three doses of a mRNA SARS-CoV-2 vaccine. Ct values for first infections and reinfections were 27.1 ± 6.6 and 31.9 ± 5.4 (p = 0.000). Considering Ct values ≥ 30 versus <30, residents with reinfections had Ct values higher than residents with a first infection, an adjusted relative risk of 1.66 (95% Confidence interval 1.10-2.51). A sensitivity analysis confirmed these results. CONCLUSIONS Reinfection and SARS-CoV-2 vaccination (hybrid immunity) could protect against severe disease better than vaccination alone. High Ct values suggest lower transmission and severity. Its value can be useful for surveillance and forecasting future SARS-CoV-2 epidemics.
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Affiliation(s)
- Juan Carlos Gascó-Laborda
- Epidemiology Division, Public Health Center, 12003 Castelló de la Plana, Spain; (J.C.G.-L.); (N.M.-F.); (L.L.-B.); (V.R.); (J.B.B.-B.)
| | - Maria Gil-Fortuño
- Microbiology Laboratory, Universitary Hospital de la Plana, 12540 Vila-Real, Spain; (M.G.-F.); (Ó.P.-O.); (S.P.-G.); (N.H.-P.)
| | - Maria Dolores Tirado-Balaguer
- Microbiology Laboratory, Universitary General Hospital, 12004 Castelló de la Plana, Spain; (M.D.T.-B.); (O.S.-B.); (I.G.-A.)
| | - Noemi Meseguer-Ferrer
- Epidemiology Division, Public Health Center, 12003 Castelló de la Plana, Spain; (J.C.G.-L.); (N.M.-F.); (L.L.-B.); (V.R.); (J.B.B.-B.)
| | - Oihana Sabalza-Baztán
- Microbiology Laboratory, Universitary General Hospital, 12004 Castelló de la Plana, Spain; (M.D.T.-B.); (O.S.-B.); (I.G.-A.)
| | - Óscar Pérez-Olaso
- Microbiology Laboratory, Universitary Hospital de la Plana, 12540 Vila-Real, Spain; (M.G.-F.); (Ó.P.-O.); (S.P.-G.); (N.H.-P.)
| | - Iris Gómez-Alfaro
- Microbiology Laboratory, Universitary General Hospital, 12004 Castelló de la Plana, Spain; (M.D.T.-B.); (O.S.-B.); (I.G.-A.)
| | - Sandrine Poujois-Gisbert
- Microbiology Laboratory, Universitary Hospital de la Plana, 12540 Vila-Real, Spain; (M.G.-F.); (Ó.P.-O.); (S.P.-G.); (N.H.-P.)
| | - Noelia Hernández-Pérez
- Microbiology Laboratory, Universitary Hospital de la Plana, 12540 Vila-Real, Spain; (M.G.-F.); (Ó.P.-O.); (S.P.-G.); (N.H.-P.)
| | - Lledó Lluch-Bacas
- Epidemiology Division, Public Health Center, 12003 Castelló de la Plana, Spain; (J.C.G.-L.); (N.M.-F.); (L.L.-B.); (V.R.); (J.B.B.-B.)
| | - Viorica Rusen
- Epidemiology Division, Public Health Center, 12003 Castelló de la Plana, Spain; (J.C.G.-L.); (N.M.-F.); (L.L.-B.); (V.R.); (J.B.B.-B.)
| | - Alberto Arnedo-Pena
- Epidemiology Division, Public Health Center, 12003 Castelló de la Plana, Spain; (J.C.G.-L.); (N.M.-F.); (L.L.-B.); (V.R.); (J.B.B.-B.)
- Department Health Sciences, Public University Navarra, 31006 Pamplona, Spain
- Public Health and Epidemiology, Centro Investigación Biomédica en Red España (CIBERESP), 28029 Madrid, Spain
| | - Juan Bautista Bellido-Blasco
- Epidemiology Division, Public Health Center, 12003 Castelló de la Plana, Spain; (J.C.G.-L.); (N.M.-F.); (L.L.-B.); (V.R.); (J.B.B.-B.)
- Public Health and Epidemiology, Centro Investigación Biomédica en Red España (CIBERESP), 28029 Madrid, Spain
- Department of Epidemiology, School of Medicine, Jaume I University, 12006 Castelló de la Plana, Spain
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Banerjee A, Coulter A, Goenka S, Hollis A, Majeed A. Research across multiple disciplines to respond to health shocks. BMJ 2024; 387:e078445. [PMID: 39374960 PMCID: PMC11450974 DOI: 10.1136/bmj-2023-078445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/09/2024]
Affiliation(s)
- Amitava Banerjee
- Institute of Health Informatics, University College London, London, UK
- Department of Cardiology, Barts Health, London, UK
| | | | | | | | - Azeem Majeed
- Department of Primary Care and Public Health, Imperial College London, London, UK
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Kittang BR, Øien AT, Engtrø E, Skjellanger M, Krüger K. Clinical characteristics, treatment, and outcomes for elderly patients in a dedicated Covid-19 ward at a primary health care facility in western Norway: a retrospective observational study. BMC Health Serv Res 2024; 24:1098. [PMID: 39300524 PMCID: PMC11414310 DOI: 10.1186/s12913-024-11539-2] [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: 04/26/2024] [Accepted: 09/04/2024] [Indexed: 09/22/2024] Open
Abstract
BACKGROUND The coronavirus pandemic has hit the oldest and frailest individuals hard, particularly patients and residents in nursing homes. In March 2020, we established a Covid-19 ward at a nursing home in Bergen, western Norway for elderly patients with Sars-CoV-2 infection and in the need of treatment and care in a primary health care facility. The aims of this study were to describe the organization of the ward, the clinical outcomes of infection, treatment, mortality rates in the population, the level of advanced care planning, and end-of-life care for those who died. METHODS We present patient characteristics, outcomes, vaccination status, treatment, decisions regarding treatment intensity upon clinical deterioration, and mortality for the patients in the ward. Clinical factors possibly related to a fatal outcome were analysed with chi square test (categorical variables) or t-test (continuous variables). RESULTS 257 patients were included from March 2020 to April 2022. Fifty-nine patients (23.0%) developed respiratory failure. Ten patients (3.9%) were admitted to hospital. Advance care planning was undertaken for 245 (95.3%) of the patients. 30-day mortality rate decreased from 42 to 4% during the study period. Of the 29 (11.3%) patients who died, all were well alleviated in the terminal phase, and 26 (89.7%) of them had a Clinical Frailty Scale (CFS) value ≥ 7. A high score for CFS, respiratory failure and respiratory co-infection were significantly associated with Covid-19 related death within 30 days. CONCLUSIONS Covid-19-related mortality markedly decreased during the study period, and a high score for CFS was related to a fatal outcome. Thorough planning of treatment intensity upon deterioration, low hospitalization rates, and good relief for those who died suggest that dedicated Covid-19 wards in nursing homes can provide good treatment for the patients and relieve other nursing homes and specialist health care services.
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Affiliation(s)
- Bård Reiakvam Kittang
- Department of Nursing Home Medicine, Municipality of Bergen, Bergen, Norway.
- Department of Medicine, Haraldsplass Deaconess Hospital, Bergen, Norway.
- Department of Clinical Science, University of Bergen, Bergen, Norway.
| | - Ane Tveiten Øien
- Department of Nursing Home Medicine, Municipality of Bergen, Bergen, Norway
| | - Einar Engtrø
- Department of Nursing Home Medicine, Municipality of Bergen, Bergen, Norway
| | - Marian Skjellanger
- Department of Nursing Home Medicine, Municipality of Bergen, Bergen, Norway
| | - Kjell Krüger
- Department of Nursing Home Medicine, Municipality of Bergen, Bergen, Norway
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Sharifi P, Rezaeimanesh N, Moradi A, Moghadasi AN. Effects of vaccination on COVID-19 infection symptoms in multiple sclerosis patients. eNeurologicalSci 2024; 36:100511. [PMID: 38989276 PMCID: PMC11231562 DOI: 10.1016/j.ensci.2024.100511] [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: 03/16/2024] [Revised: 05/03/2024] [Accepted: 06/11/2024] [Indexed: 07/12/2024] Open
Abstract
Background Patients with multiple sclerosis (MS) are at higher risk of having infections due to receiving disease modifying therapies. The current study was conducted among Iranian MS patients who had experienced at least one episode of COVID-19 infection in order to evaluate the effects of COVID-19 vaccination on symptoms of their infection. Data on demographic information, MS characteristics, COVID-19 infection details, and vaccination status were collected. Statistical analyses, were performed to evaluate the association between vaccination and symptoms of COVID-19 infection. Methods This cross-sectional study was conducted on confirmed MS patients. Demographic data and COVID-19 related symptoms were gathered via an online questionnaire. Confirmation of patients' who declared to be vaccinated was checked by their COVID-19 vaccination card. Results A total of 236 MS patients participated in the study. The majority were female (79.7%), with a mean age of 36.1 ± 7.9 years. Among the participants, 72.5% had received the COVID-19 vaccine before their first episode of COVID-19 infection. The analysis showed a significant difference in the incidence of respiratory symptoms (P-value: 0.01) and headache (P-value: 0.04) between vaccinated and non-vaccinated individuals. Logistic regression analysis revealed that vaccinated MS patients had lower odds of developing respiratory symptoms (OR:0.29, 95% CI: 0.16 to 0.53, P-value<0.001) or headache (OR: 0.50, 95% CI: 0.25 to 0.98, P-value: 0.04) during their next COVID-19 infection episode. Moreover, MS patients who were receiving immunosuppressive drugs were less likely to have respiratory symptoms (OR:0.35, 95% CI: 0.16 to 0.77, P-value:0.009) but not headache (OR: 0.69, 95% CI: 0.30 to 1.60, P-value: 0.39). Conclusion COVID-19 vaccination can reduce the incidence of respiratory symptoms and headaches in MS patients during COVID-19 infection episodes. Additionally, patients who are receiving immunosuppressive drugs may benefit from COVID-19 vaccination.
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Affiliation(s)
- Parisa Sharifi
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Nasim Rezaeimanesh
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Amir Moradi
- Atherosclerosis Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Abdorreza Naser Moghadasi
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
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Marron L, Mateo-Urdiales A, O'Donnell J, Robinson E, Domegan L. The impact of the COVID-19 vaccination programme on symptomatic and severe SARS-CoV-2 infection during a period of Omicron variant dominance in Ireland, December 2021 to March 2023. Euro Surveill 2024; 29:2300697. [PMID: 38994604 PMCID: PMC11241852 DOI: 10.2807/1560-7917.es.2024.29.28.2300697] [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: 12/05/2023] [Accepted: 03/04/2024] [Indexed: 07/13/2024] Open
Abstract
BackgroundAs Ireland prepared for an autumn 2023 COVID-19 vaccination booster campaign, there was concern that vaccine fatigue would affect uptake, which has been abating.AimThis study aimed to quantify the direct impact of the COVID-19 vaccination programme in Ireland on averted COVID-19-related outcomes including symptomatic presentations to primary care/community testing centres, emergency department (ED) presentations, hospitalisations, intensive care unit (ICU) admissions and deaths, in individuals aged ≥ 50 years, during Omicron dominance.MethodsWe conducted a retrospective observational COVID-19 vaccine impact study in December 2021-March 2023 in Ireland. We used national data on notified outcomes and vaccine coverage, as well as vaccine effectiveness (VE) estimates, sourced from the World Health Organization's live systematic review of VE, to estimate the count and prevented fraction of outcomes in ≥ 50-year-olds averted by the COVID-19 vaccination programme in this age group.ResultsThe COVID-19 vaccination programme averted 48,551 symptomatic COVID-19 presentations to primary care/community testing centres (36% of cases expected in the absence of vaccination), 9,517 ED presentations (53% of expected), 102,160 hospitalisations (81% of expected), 3,303 ICU admissions (89% of expected) and 15,985 deaths (87% of expected).ConclusionsWhen Omicron predominated, the COVID-19 vaccination programme averted symptomatic and severe COVID-19 cases, including deaths due to COVID-19. In line with other international vaccine impact studies, these findings emphasise the benefits of COVID-19 vaccination for population health and the healthcare system and are relevant for informing COVID-19 booster vaccination programmes, pandemic preparedness and communicating the reason for and importance of COVID-19 vaccination in Ireland and internationally.
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Affiliation(s)
- Louise Marron
- European Centre for Disease Prevention and Control (ECDC) Fellowship Programme, Field Epidemiology path (EPIET), ECDC, Stockholm, Sweden
- Health Service Executive-Health Protection Surveillance Centre, Dublin, Ireland
| | - Alberto Mateo-Urdiales
- Department of Infectious Diseases, Istituto Superiore di Sanità (Italian National Institute of Health), Rome, Italy
| | - Joan O'Donnell
- Health Service Executive-Health Protection Surveillance Centre, Dublin, Ireland
| | - Eve Robinson
- Health Service Executive-Health Protection Surveillance Centre, Dublin, Ireland
| | - Lisa Domegan
- Health Service Executive-Health Protection Surveillance Centre, Dublin, Ireland
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Asplin P, Keeling MJ, Mancy R, Hill EM. Epidemiological and health economic implications of symptom propagation in respiratory pathogens: A mathematical modelling investigation. PLoS Comput Biol 2024; 20:e1012096. [PMID: 38701066 PMCID: PMC11095726 DOI: 10.1371/journal.pcbi.1012096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 05/15/2024] [Accepted: 04/19/2024] [Indexed: 05/05/2024] Open
Abstract
BACKGROUND Respiratory pathogens inflict a substantial burden on public health and the economy. Although the severity of symptoms caused by these pathogens can vary from asymptomatic to fatal, the factors that determine symptom severity are not fully understood. Correlations in symptoms between infector-infectee pairs, for which evidence is accumulating, can generate large-scale clusters of severe infections that could be devastating to those most at risk, whilst also conceivably leading to chains of mild or asymptomatic infections that generate widespread immunity with minimal cost to public health. Although this effect could be harnessed to amplify the impact of interventions that reduce symptom severity, the mechanistic representation of symptom propagation within mathematical and health economic modelling of respiratory diseases is understudied. METHODS AND FINDINGS We propose a novel framework for incorporating different levels of symptom propagation into models of infectious disease transmission via a single parameter, α. Varying α tunes the model from having no symptom propagation (α = 0, as typically assumed) to one where symptoms always propagate (α = 1). For parameters corresponding to three respiratory pathogens-seasonal influenza, pandemic influenza and SARS-CoV-2-we explored how symptom propagation impacted the relative epidemiological and health-economic performance of three interventions, conceptualised as vaccines with different actions: symptom-attenuating (labelled SA), infection-blocking (IB) and infection-blocking admitting only mild breakthrough infections (IB_MB). In the absence of interventions, with fixed underlying epidemiological parameters, stronger symptom propagation increased the proportion of cases that were severe. For SA and IB_MB, interventions were more effective at reducing prevalence (all infections and severe cases) for higher strengths of symptom propagation. For IB, symptom propagation had no impact on effectiveness, and for seasonal influenza this intervention type was more effective than SA at reducing severe infections for all strengths of symptom propagation. For pandemic influenza and SARS-CoV-2, at low intervention uptake, SA was more effective than IB for all levels of symptom propagation; for high uptake, SA only became more effective under strong symptom propagation. Health economic assessments found that, for SA-type interventions, the amount one could spend on control whilst maintaining a cost-effective intervention (termed threshold unit intervention cost) was very sensitive to the strength of symptom propagation. CONCLUSIONS Overall, the preferred intervention type depended on the combination of the strength of symptom propagation and uptake. Given the importance of determining robust public health responses, we highlight the need to gather further data on symptom propagation, with our modelling framework acting as a template for future analysis.
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Affiliation(s)
- Phoebe Asplin
- EPSRC & MRC Centre for Doctoral Training in Mathematics for Real-World Systems, University of Warwick, Coventry, United Kingdom
- Mathematics Institute, University of Warwick, Coventry, United Kingdom
- The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom
| | - Matt J. Keeling
- Mathematics Institute, University of Warwick, Coventry, United Kingdom
- The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom
- School of Life Sciences, University of Warwick, Coventry, United Kingdom
| | - Rebecca Mancy
- School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, United Kingdom
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, United Kingdom
| | - Edward M. Hill
- Mathematics Institute, University of Warwick, Coventry, United Kingdom
- The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom
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Nakamura N, Kobashi Y, Kim KS, Park H, Tani Y, Shimazu Y, Zhao T, Nishikawa Y, Omata F, Kawashima M, Yoshida M, Abe T, Saito Y, Senoo Y, Nonaka S, Takita M, Yamamoto C, Kawamura T, Sugiyama A, Nakayama A, Kaneko Y, Jeong YD, Tatematsu D, Akao M, Sato Y, Iwanami S, Fujita Y, Wakui M, Aihara K, Kodama T, Shibuya K, Iwami S, Tsubokura M. Modeling and predicting individual variation in COVID-19 vaccine-elicited antibody response in the general population. PLOS DIGITAL HEALTH 2024; 3:e0000497. [PMID: 38701055 PMCID: PMC11068210 DOI: 10.1371/journal.pdig.0000497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 02/14/2024] [Indexed: 05/05/2024]
Abstract
As we learned during the COVID-19 pandemic, vaccines are one of the most important tools in infectious disease control. To date, an unprecedentedly large volume of high-quality data on COVID-19 vaccinations have been accumulated. For preparedness in future pandemics beyond COVID-19, these valuable datasets should be analyzed to best shape an effective vaccination strategy. We are collecting longitudinal data from a community-based cohort in Fukushima, Japan, that consists of 2,407 individuals who underwent serum sampling two or three times after a two-dose vaccination with either BNT162b2 or mRNA-1273. Using the individually reconstructed time courses of the vaccine-elicited antibody response based on mathematical modeling, we first identified basic demographic and health information that contributed to the main features of the antibody dynamics, i.e., the peak, the duration, and the area under the curve. We showed that these three features of antibody dynamics were partially explained by underlying medical conditions, adverse reactions to vaccinations, and medications, consistent with the findings of previous studies. We then applied to these factors a recently proposed computational method to optimally fit an "antibody score", which resulted in an integer-based score that can be used as a basis for identifying individuals with higher or lower antibody titers from basic demographic and health information. The score can be easily calculated by individuals themselves or by medical practitioners. Although the sensitivity of this score is currently not very high, in the future, as more data become available, it has the potential to identify vulnerable populations and encourage them to get booster vaccinations. Our mathematical model can be extended to any kind of vaccination and therefore can form a basis for policy decisions regarding the distribution of booster vaccines to strengthen immunity in future pandemics.
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Affiliation(s)
- Naotoshi Nakamura
- interdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University, Nagoya, Japan
| | - Yurie Kobashi
- Department of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan
- Department of General Internal Medicine, Hirata Central Hospital, Fukushima, Japan
| | - Kwang Su Kim
- interdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University, Nagoya, Japan
- Department of Science System Simulation, Pukyong National University, Busan, South Korea
- Department of Mathematics, Pusan National University, Busan, South Korea
| | - Hyeongki Park
- interdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University, Nagoya, Japan
| | - Yuta Tani
- Medical Governance Research Institute, Tokyo, Japan
| | - Yuzo Shimazu
- Department of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Tianchen Zhao
- Department of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Yoshitaka Nishikawa
- Department of General Internal Medicine, Hirata Central Hospital, Fukushima, Japan
| | - Fumiya Omata
- Department of General Internal Medicine, Hirata Central Hospital, Fukushima, Japan
| | - Moe Kawashima
- Department of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan
| | | | - Toshiki Abe
- Department of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan
| | | | - Yuki Senoo
- Medical Governance Research Institute, Tokyo, Japan
| | - Saori Nonaka
- Department of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Morihito Takita
- Department of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Chika Yamamoto
- Department of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Takeshi Kawamura
- Proteomics Laboratory, Isotope Science Center, The University of Tokyo, Tokyo, Japan
- Laboratory for Systems Biology and Medicine, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan
| | - Akira Sugiyama
- Proteomics Laboratory, Isotope Science Center, The University of Tokyo, Tokyo, Japan
| | - Aya Nakayama
- Proteomics Laboratory, Isotope Science Center, The University of Tokyo, Tokyo, Japan
| | - Yudai Kaneko
- Laboratory for Systems Biology and Medicine, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan
- Medical & Biological Laboratories Co., Ltd, Tokyo, Japan
| | - Yong Dam Jeong
- interdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University, Nagoya, Japan
- Department of Mathematics, Pusan National University, Busan, South Korea
| | - Daiki Tatematsu
- interdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University, Nagoya, Japan
| | - Marwa Akao
- interdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University, Nagoya, Japan
| | - Yoshitaka Sato
- Department of Virology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Shoya Iwanami
- interdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University, Nagoya, Japan
| | - Yasuhisa Fujita
- interdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University, Nagoya, Japan
| | - Masatoshi Wakui
- Department of Laboratory Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Kazuyuki Aihara
- International Research Center for Neurointelligence, The University of Tokyo Institutes for Advanced Study, The University of Tokyo, Tokyo, Japan
| | - Tatsuhiko Kodama
- Laboratory for Systems Biology and Medicine, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan
| | - Kenji Shibuya
- Soma Medical Center of Vaccination for COVID-19, Fukushima, Japan
- Tokyo Foundation for Policy Research, Tokyo, Japan
| | - Shingo Iwami
- interdisciplinary Biology Laboratory (iBLab), Division of Natural Science, Graduate School of Science, Nagoya University, Nagoya, Japan
- Institute of Mathematics for Industry, Kyushu University, Fukuoka, Japan
- Institute for the Advanced Study of Human Biology (ASHBi), Kyoto University, Kyoto, Japan
- Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS), RIKEN, Saitama, Japan
- NEXT-Ganken Program, Japanese Foundation for Cancer Research (JFCR), Tokyo, Japan
- Science Groove Inc., Fukuoka, Japan
| | - Masaharu Tsubokura
- Department of Radiation Health Management, Fukushima Medical University School of Medicine, Fukushima, Japan
- Department of General Internal Medicine, Hirata Central Hospital, Fukushima, Japan
- Medical Governance Research Institute, Tokyo, Japan
- Minamisoma Municipal General Hospital, Fukushima, Japan
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Leiblein TW, Winistörfer A, Seiler K, Hauri R, Sommerstein R. Association of a coronavirus disease 2019 (COVID-19) vaccine booster with control of a COVID-19 outbreak in a long-term care facility in Switzerland, November to December 2021. Infect Control Hosp Epidemiol 2024; 45:543-545. [PMID: 38086644 DOI: 10.1017/ice.2023.240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/10/2024]
Abstract
Coronavirus disease 2019 (COVID-19) outbreaks in long-term care facilities are often correlated with high case fatality rates. We describe the association of administration of an mRNA booster with the control of an outbreak. Our findings highlight the possibility of vaccine booster early in an outbreak as a promising method to mitigate the spread of infection.
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Affiliation(s)
| | | | - Kurt Seiler
- Pflegezentrum Ennetsee, Cham, Zug, Switzerland
| | - Rudolf Hauri
- Directorate of Health, Office of Health, Zug, Switzerland
| | - Rami Sommerstein
- Hirslanden AndreasKlinik, Cham, Zug, Switzerland
- Faculty of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
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9
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Hashan MR, Smoll N, Chapman G, King C, Walker J, Kirk M, Akbar D, Booy R, Khandaker G. Epidemiology of COVID-19 outbreaks in aged care facilities during postvaccine period: a systematic review and meta-analysis. BMJ Open 2024; 14:e073555. [PMID: 38485480 PMCID: PMC10941149 DOI: 10.1136/bmjopen-2023-073555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 01/31/2024] [Indexed: 03/17/2024] Open
Abstract
OBJECTIVE We aimed to define the epidemiology of COVID-19 outbreaks in aged care facilities (ACFs) during the postvaccine period, including vaccine effectiveness (VE) for this high-risk group. DESIGN Systematic review and meta-analysis. DATA SOURCES Ovid Medline, Ovid Embase, Scopus, Web of Science and Cochrane databases were searched through 1 September 2023. ELIGIBILITY CRITERIA Any original observational studies and trials reporting data on COVID-19 outbreaks among the partially/fully vaccinated residents from ACFs during or after the worldwide implementation of vaccine roll-out. DATA EXTRACTION AND SYNTHESIS We estimated the attack rate, case fatality rate, mortality rate and VE during postvaccine period. Random effect model was adopted for meta-analysis. Quality assessment on all included studies was performed using the Meta Quality Appraisal Tool. RESULTS 38 articles were included from 12 countries reporting 79 outbreaks with 1708 confirmed cases of COVID-19 from 78 ACFs. The pooled attack rate was 28% (95% CI 20% to 37%) among the fully vaccinated residents. Two-thirds (62.5%) of the index cases were unvaccinated healthcare professionals (eg, physicians, nurses) and caregivers. Unvaccinated residents had a significantly higher rates (12%) (95% CI 7% to 19%) of mortality compared with the vaccinated residents (2%) (95% CI% 1 to 4%) and the post-COVID-19 vaccine estimates for case fatality rate (13% vs 23%) and hospitalisation rate (17% vs 37%) were substantially lower. VE in preventing disease among residents in ACFs was 73% (95% CI 49% to 86). Overall, the included studies were heterogeneous in nature, however, the risk of bias was low to moderate. CONCLUSIONS Our study reaffirmed the impact of vaccination as a key public health measure to minimise the burden of COVID-19 in ACFs. Facilities with higher crowding indexes should be prioritised for vaccination and should advocate for higher vaccination targets among staff and residents as a critical intervention strategy to minimise disease burden in this vulnerable population.
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Affiliation(s)
- Mohammad Rashidul Hashan
- Central Queensland University, Rockhampton, Queensland, Australia
- Central Queensland Public Health Unit, Central Queensland Hospital and Health Service, Rockhampton, Queensland, Australia
| | - Nicolas Smoll
- Central Queensland Hospital and Health Service, Rockhampton, Queensland, Australia
| | - Gwenda Chapman
- Central Queensland Public Health Unit, Central Queensland Hospital and Health Service, Rockhampton, Queensland, Australia
| | - Catherine King
- The University of Sydney Faculty of Medicine and Health, Sydney, New South Wales, Australia
| | - Jacina Walker
- Central Queensland Public Health Unit, Central Queensland Hospital and Health Service, Rockhampton, Queensland, Australia
| | - Michael Kirk
- Central Queensland Hospital and Health Service, Rockhampton, Queensland, Australia
| | - Delwar Akbar
- School of Business and Law, Central Queensland University, Rockhampton, Queensland, Australia
| | - Robert Booy
- National Centre for Immunisation Research and Surveillance of Vaccine Preventable Diseases, Westmead, New South Wales, Australia
| | - Gulam Khandaker
- Central Queensland Public Health Unit, Central Queensland Hospital and Health Service, Rockhampton, Queensland, Australia
- Research Division, Central Queensland University, Rockhampton, Queensland, Australia
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10
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Lopez Bernal J, Andrews N, Gower C, Stowe J, Tessier E, Simmons R, Ramsay M. Effects of BNT162b2 Messenger RNA Vaccine and ChAdOx1 Adenovirus Vector Vaccine on Deaths From COVID-19 in Adults Aged ≥70 Years. Clin Infect Dis 2024; 78:349-351. [PMID: 37758203 DOI: 10.1093/cid/ciab881] [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: 05/11/2021] [Indexed: 10/03/2023] Open
Abstract
We estimated the risk of death from coronavirus disease 2019 in vaccinated compared with unvaccinated patients. The risk of death was reduced 44% after 1 dose of the Pfizer-BioNTech BNT162b2 vaccine, 55% after 1 dose of the Oxford-Astrazeneca ChAdOx1 vaccine, and 69% after 2 doses of the BNT162b2 vaccine. This is above the protection provided against infection.
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Affiliation(s)
- Jamie Lopez Bernal
- Public Health England, 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
| | - Nick Andrews
- Public Health England, London, United Kingdom
- NIHR Health Protection Research Unit in Vaccines and Immunisation, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | | | - Julia Stowe
- Public Health England, London, United Kingdom
| | | | | | - Mary Ramsay
- Public Health England, London, United Kingdom
- NIHR Health Protection Research Unit in Vaccines and Immunisation, London School of Hygiene and Tropical Medicine, London, United Kingdom
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11
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Kampf G. Does COVID-19 Vaccination Protect Contact Persons? A Systematic Review. HYGIENE 2024; 4:23-48. [DOI: 10.3390/hygiene4010003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2025]
Abstract
The protective effect of COVID-19 vaccination for contact persons is controversial. Therefore, the aim of this review was to determine whether COVID-19 vaccination provides significant protection for them. A PubMed search was carried out using the terms “unvaccinated vaccinated covid” in combination with “viral load” and “transmission”. Studies were included if they reported original comparative data on the SARS-CoV-2 viral load, duration of SARS-CoV-2 detection, or SARS-CoV-2 transmission rates. A total of 332 articles were identified, of which 68 were included and analyzed. The differences in the viral load were equivocal in 57% of the 35 studies, significantly lower in the vaccinated in 11 studies and in the unvaccinated in 3 studies. The infectious virus levels were significantly lower in the vaccinated in two out of six studies. Virus clearance was significantly faster in vaccinated subjects in two of eight studies (detection of viral RNA) and two of four studies (detection of infectious virus). The secondary attack rates were significantly lower in vaccinated index cases in 6 of 15 studies. The vaccination status of contacts was described in two of the six studies and was 31.8% and 39.9% lower in households with an unvaccinated index case. The inconsistent and variable differences in the viral load, viral clearance and secondary attack rates between vaccinated and unvaccinated individuals, especially during the omicron predominance, suggests that COVID-19 vaccination is unlikely to prevent a relevant proportion of transmissions to contact persons, taking into account the relevance of the immunological status of the contact population (vaccination rates and previous infection).
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Affiliation(s)
- Günter Kampf
- University Medicine Greifswald, Ferdinand-Sauerbruch-Strasse, 17475 Greifswald, Germany
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12
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Kampf G. Does the COVID-19 Vaccination Reduce the Risk to Transmit SARS-CoV-2 to Others? ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1457:247-264. [PMID: 39283431 DOI: 10.1007/978-3-031-61939-7_14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2024]
Abstract
It has been assumed that the COVID-19 vaccination reduces the risk of transmission to others. Results during the delta predominance show that the viral load in the vaccinated population is not consistently lower compared to the unvaccinated, and during the omicron predominance, the viral load was even somewhat higher. Levels of infectious SARS-CoV-2 were partly lower in the vaccinated population. Viral loads were mostly lower in re-infections compared to breakthrough infections. Viral clearance including the detection of infectious virus has mostly been described to be faster in the vaccinated population suggesting a shorter duration as a possible source for transmission. The epidemiological relevance of this finding remains uncertain. Approximately half of the transmission studies found lower secondary attack rates from the fully vaccinated population, but the results are probably best explained by the vaccination status of the contact population. Public health data from the UK show that the number of COVID-19 cases is higher among the fully vaccinated and boosted population who might be possible sources, in contrast to lower case numbers within the first three months among the vaccinated obtained in phase 3 trials on symptomatic cases. Overall, there is no convincing evidence that the COVID-19 vaccination significantly reduces the risk to transmit SARS-CoV-2 to others.
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Affiliation(s)
- Günter Kampf
- University Medicine Greifswald, Ferdinand-Sauerbruch-Strasse, 17475, Greifswald, Germany.
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13
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Lv L, Wu XD, Yan HJ, Zhao SY, Zhang XD, Zhu KL. The disparity in hesitancy toward COVID-19 vaccination between older individuals in nursing homes and those in the community in Taizhou, China. BMC Geriatr 2023; 23:828. [PMID: 38066433 PMCID: PMC10709861 DOI: 10.1186/s12877-023-04518-5] [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: 06/27/2023] [Accepted: 11/25/2023] [Indexed: 12/18/2023] Open
Abstract
PURPOSE Older individuals are priority coronavirus disease 2019 (COVID-19) vaccine recipients. Our aim was to investigate the prevalence of and factors influencing vaccine hesitancy in older individuals living in nursing homes and communities. METHODS A self-administered COVID-19 vaccine hesitancy survey was conducted from September 2021 to December 2021 among people aged ≥ 60 years in eight nursing homes (382 participants) and the community (112 participants) in Taizhou, China. The response rate was 72.1% (382/530) for older adults in nursing homes and 68.7% (112/163) for older adults in the community. RESULTS We found that 58.1% of the older individuals in nursing homes and 36.6% of those in the community were hesitant to receive the COVID-19 vaccine and that there was a statistically significant difference (P < 0.001). Multiple logistic regression results indicated that the main factors influencing hesitation among the older individuals in nursing homes were being male (Odds Ratio (OR) = 1.67, 95% Confidence Interval (CI): 1.01-2.76); their cognitive level, including having a high perceived risk of COVID-19 infection (OR = 3.06, 95% CI: 1.73-5.43) or the perception of low vaccine safety (OR = 3.08, 95% CI: 1.545- 6.145); anxiety (OR = 3.43, 95% CI: 1.96-5.99); and no previous influenza vaccination (OR = 1.82, 95% CI: 1.13-2.93); whereas those for older individuals in the community were comorbid chronic diseases (OR = 3.13, 95% CI: 1.11- 8.78) and community workers not recommending the vaccine (OR = 8.223, 95% CI: 1.77-38.27). CONCLUSION The proportion of older individuals in nursing homes who were hesitant to receive the COVID-19 vaccine was significantly higher than for older individuals in the community. Targeted measures should be implemented to reduce vaccine hesitancy and improve vaccination rates in response to the special environment of nursing homes and the characteristics of this population.
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Affiliation(s)
- Li Lv
- The Affiliated People's Hospital of Ningbo University, Ningbo, 315040, Zhejiang Province, China
| | - Xu-Dong Wu
- Hepatopancreatobiliary Surgery, People's Hospital Affiliated to Ningbo University, Ningbo University, 251 Baizhang East Road, Ningbo, 315040, Zhejiang Province, China
| | - Huan-Jun Yan
- Hepatopancreatobiliary Surgery, People's Hospital Affiliated to Ningbo University, Ningbo University, 251 Baizhang East Road, Ningbo, 315040, Zhejiang Province, China
| | - Shuang-Ying Zhao
- Hepatopancreatobiliary Surgery, People's Hospital Affiliated to Ningbo University, Ningbo University, 251 Baizhang East Road, Ningbo, 315040, Zhejiang Province, China
| | - Xiao-Dong Zhang
- Hepatopancreatobiliary Surgery, People's Hospital Affiliated to Ningbo University, Ningbo University, 251 Baizhang East Road, Ningbo, 315040, Zhejiang Province, China
| | - Ke-Lei Zhu
- Hepatopancreatobiliary Surgery, People's Hospital Affiliated to Ningbo University, Ningbo University, 251 Baizhang East Road, Ningbo, 315040, Zhejiang Province, China.
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14
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Nakakubo S, Kishida N, Okuda K, Kamada K, Iwama M, Suzuki M, Yokota I, Ito YM, Nasuhara Y, Boucher RC, Konno S. Associations of COVID-19 symptoms with omicron subvariants BA.2 and BA.5, host status, and clinical outcomes in Japan: a registry-based observational study. THE LANCET. INFECTIOUS DISEASES 2023; 23:1244-1256. [PMID: 37399831 PMCID: PMC10615696 DOI: 10.1016/s1473-3099(23)00271-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 03/15/2023] [Accepted: 04/14/2023] [Indexed: 07/05/2023]
Abstract
BACKGROUND Previous SARS-CoV-2 infection and vaccination, coupled with the rapid evolution of SARS-CoV-2 variants, have modified COVID-19 clinical manifestations. We aimed to characterise the clinical symptoms of COVID-19 individuals in omicron BA.2 and BA.5 Japanese pandemic periods to identify omicron and subvariant associations between symptoms, immune status, and clinical outcomes. METHODS In this registry-based observational study, individuals registered in Sapporo's web-based COVID-19 information system entered 12 pre-selected symptoms, days since symptom onset, vaccination history, SARS-CoV-2 infection history, and background. Eligibility criteria included symptomatic individuals who tested positive for SARS-CoV-2 (PCR or antigen test), and individuals who were not tested for SARS-CoV-2 but developed new symptoms after a household member tested positive for SARS-CoV-2. Symptom prevalence, variables associated with symptoms, and symptoms associated with progression to severe disease were analysed. FINDINGS Data were collected and analysed between April 25 and Sept 25, 2022. For 157 861 omicron-infected symptomatic individuals, cough was the most common symptom (99 032 [62·7%] patients), followed by sore throat (95 838 [60·7%] patients), nasal discharge (69 968 [44·3%] patients), and fever (61 218 [38·8%] patients). Omicron BA.5 infection was associated with a higher prevalence of systemic symptoms than BA.2 in vaccinated and unvaccinated individuals (adjusted odds ratio [OR] for fever: 2·18 [95% CI 2·12-2·25]). Omicron breakthrough-infected individuals with three or more vaccinations or previous infection were less likely to exhibit systemic symptoms (fever 0·50 [0·49-0·51]), but more likely to exhibit upper respiratory symptoms (sore throat 1·33 [1·29-1·36]; nasal discharge 1·84 [1·80-1·89]). Infected older individuals (≥65 years) had lower odds for all symptoms. However, when symptoms were manifest, systemic symptoms were associated with increased odds for severe disease (dyspnoea 3·01 [1·84-4·91]; fever 2·93 [1·89-4·52]), whereas upper respiratory symptoms were associated with decreased odds (sore throat 0·38 [0·24-0·63]; nasal discharge 0·48 [0·28-0·81]). INTERPRETATION Host immunological status, omicron subvariant, and age were associated with a spectrum of COVID-19 symptoms and outcomes. BA.5 produced a higher systemic symptom prevalence than BA.2. Vaccination and previous infection reduced systemic symptom prevalence and improved outcomes but increased upper respiratory tract symptom prevalence. Systemic, but not upper respiratory, symptoms in older people heralded severe disease. Our findings could serve as a practical guide to use COVID-19 symptoms to appropriately modify health-care strategies and predict clinical outcomes for older patients with omicron infections. FUNDING Japan Agency for Medical Research and Development.
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Affiliation(s)
- Sho Nakakubo
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
| | - Naoki Kishida
- Emergency Management Bureau, City of Sapporo, Sapporo, Japan
| | - Kenichi Okuda
- Marsico Lung Institute/Cystic Fibrosis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Keisuke Kamada
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan; Department of Mycobacterium Reference and Research, The Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan; Department of Epidemiology and Clinical Research, The Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan
| | - Masami Iwama
- Management Section, Medical Management Office, Health and Welfare Bureau, City of Sapporo, Sapporo, Japan
| | - Masaru Suzuki
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Isao Yokota
- Department of Biostatistics, Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Yoichi M Ito
- Data Science Center, Promotion Unit, Institute of Health Science Innovation for Medical Care, Hokkaido University Hospital, Sapporo, Japan
| | - Yasuyuki Nasuhara
- Division of Hospital Safety Management, Hokkaido University Hospital, Sapporo, Japan
| | - Richard C Boucher
- Marsico Lung Institute/Cystic Fibrosis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Satoshi Konno
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan; Institute for Vaccine Research and Development, Hokkaido University, Sapporo, Japan
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15
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Liu D, Feng S, Sha F, Liao Y, Xie X, Huang F, Kong D, Zhang Z, Chen Z, Chen N, Gao W, Feng T, Zhao Z, Li B, Li Y, Zhu F, Yang Z, Lv Q, Feng Z, Tang J. Inactivated SARS-CoV-2 Vaccine Booster Against Omicron Infection Among Quarantined Close Contacts. JAMA Netw Open 2023; 6:e2339507. [PMID: 37878315 PMCID: PMC10600580 DOI: 10.1001/jamanetworkopen.2023.39507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2023] Open
Abstract
Importance Assessment of additional protection of a booster dose with an inactivated SARS-CoV-2 vaccine is key to developing vaccination strategies for billions of people worldwide who have received the primary 2-dose regimen. Objective To estimate the relative effectiveness of a booster dose of an inactivated SARS-CoV-2 vaccine against Omicron infection. Design, Setting, and Participants This cohort study was conducted among primary close contacts without previous SARS-CoV-2 infection identified in Shenzhen, China, between February and October 2022. Multiple strict nucleic acid testing and symptom surveillance for SARS-CoV-2 infection were regularly conducted during the 7-day centralized plus 7-day home-based quarantine. Exposure A booster with an inactivated SARS-CoV-2 vaccine vs no booster after receipt of the primary 2-dose inactivated SARS-CoV-2 vaccine regimen. Main Outcomes and Measures The primary outcomes were overall, symptomatic, and asymptomatic infections. Secondary outcomes were length of incubation and level of cycle threshold values. All the outcomes were assessed during the quarantine period. Results Among 119 438 eligible participants (mean [SD] age, 37.6 [12.0] years; 66 201 men [55.4%]), 86 251 (72.2%) received a booster dose of an inactivated SARS-CoV-2 vaccine and 33 187 (27.8%) did not. A total of 671 cases infected with Omicron BA.2 were confirmed (464 symptomatic and 207 asymptomatic), and no severe infection or death events were observed. At a median (IQR) duration of 111 (75 to 134) days after booster vaccination, the relative effectiveness of a booster was 32.2% (95% CI, 11.3% to 48.2%) for overall infection, 23.8% (95% CI, -8.2% to 46.4%) for symptomatic infection, and 43.3% (95% CI, 12.3% to 63.3%) for asymptomatic infection. The effectiveness against overall infection changed nonlinearly over time following booster vaccination: 44.9% (95% CI, 4.9% to 68.1%) within 60 days, 50.4% (95% CI, 23.7% to 67.7%) at 61 to 120 days, 29.1% (95% CI, -4.8% to 52.1%) at 121 to 180 days, and 19.4% (95% CI, -14.4% to 43.2%) after 180 days (nonlinear P = .03). The effectiveness did not vary significantly according to the interval between booster vaccination and completion of primary vaccination. There was no association of booster vaccination with incubation or cycle threshold values. Conclusions and Relevance In this cohort study, a booster dose of an inactivated SARS-CoV-2 vaccine provided additional moderate protection against mild infection for 120 days after receipt, but more research is needed to determine the optimal timing of a booster and its effectiveness in preventing severe infection for a longer duration.
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Affiliation(s)
- Di Liu
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Siyang Feng
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Feng Sha
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Yuxue Liao
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Xu Xie
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Fang Huang
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Dongfeng Kong
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Zhen Zhang
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Zhigao Chen
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Nixuan Chen
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Wei Gao
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Tiejian Feng
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Ziyi Zhao
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Research Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Bingli Li
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Ying Li
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Fengcai Zhu
- Department of Vaccine Clinical Evaluation, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Zhirong Yang
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Primary Care Unit, Department of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Qiuying Lv
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Zijian Feng
- Division of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jinling Tang
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Division of Epidemiology, JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
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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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Jonnagaddala J, Hoang U, Wensaas KA, Tu K, Ortigoza A, Silva-Valencia J, Cuba-Fuentes MS, Godinho MA, de Lusignan S, Liaw ST. Integrated Management Systems (IMS) to Support and Sustain Quality One Health Services: International Lessons from the COVID-19 Pandemic by the IMIA Primary Care Working Group. Yearb Med Inform 2023; 32:55-64. [PMID: 37414035 PMCID: PMC10751124 DOI: 10.1055/s-0043-1768725] [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: 07/08/2023] Open
Abstract
OBJECTIVES One Health considers human, animal and environment health as a continuum. The COVID-19 pandemic started with the leap of a virus from animals to humans. Integrated management systems (IMS) should provide a coherent management framework, to meet reporting requirements and support care delivery. We report IMS deployment during, and retention post the COVID-19 pandemic, and exemplar One Health use cases. METHODS Six volunteer members of the International Medical Association's (IMIA) Primary Care Working Group provided data about any IMS and One Health use to support the COVID-19 pandemic initiatives. We explored how IMS were: (1) Integrated with organisational strategy; (2) Utilised standardised processes, and (3) Met reporting requirements, including public health. Selected contributors provided Unified Modelling Language (UML) use case diagram for a One Health exemplar. RESULTS There was weak evidence of synergy between IMS and health system strategy to the COVID-19 pandemic. However, there were rapid pragmatic responses to COVID-19, not citing IMS. All health systems implemented IMS to link COVID test results, vaccine uptake and outcomes, particularly mortality and to provide patients access to test results and vaccination certification. Neither proportion of gross domestic product alone, nor vaccine uptake determined outcome. One Health exemplars demonstrated that animal, human and environmental specialists could collaborate. CONCLUSIONS IMS use improved the pandemic response. However, IMS use was pragmatic rather than utilising an international standard, with some of their benefits lost post-pandemic. Health systems should incorporate IMS that enables One Health approaches as part of their post COVID-19 pandemic preparedness.
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Affiliation(s)
| | - Uy Hoang
- Nuffield Department of Primary Care Health Sciences, University of Oxford, UK
| | | | - Karen Tu
- Department of Family & Community Medicine, University of Toronto, Ontario, Canada
| | - Angela Ortigoza
- Department of Family & Community Medicine, University of Toronto, Ontario, Canada
| | - Javier Silva-Valencia
- Center for Research in Primary Health Care (CINAPS), School of Medicine, Universidad Peruana Cayetano Heredia, Peru
| | - María Sofía Cuba-Fuentes
- Center for Research in Primary Health Care (CINAPS), School of Medicine, Universidad Peruana Cayetano Heredia, Peru
| | | | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, UK
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18
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Nocivelli B, Shepherd V, Hood K, Wallace C, Wood F. Identifying barriers and facilitators to the inclusion of older adults living in UK care homes in research: a scoping review. BMC Geriatr 2023; 23:446. [PMID: 37474927 PMCID: PMC10360346 DOI: 10.1186/s12877-023-04126-3] [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: 04/03/2023] [Accepted: 06/22/2023] [Indexed: 07/22/2023] Open
Abstract
BACKGROUND With an ageing population, older adults will have more complex health and social care needs and many of these older adults will be living in care homes. Despite the growth in care home populations, care home residents are often excluded from research that could potentially benefit their care. The purpose of this scoping review is to explore resident-related barriers and facilitators to including older people living in UK care homes in research and to identify potential approaches to modify such barriers. METHOD The 6-stage scoping review methodology framework proposed by Arksey and O'Malley guided this review. Five electronic databases (MedLine, PsychINFO, Scopus, Web of Science, CINAHL) and grey literature were searched. Identified articles went through two levels of screening, and those deemed relevant were collated, summarised and reported using a thematic analysis approach. RESULTS 90 reports were eligible for inclusion and were synthesised into 7 themes and related subthemes: (1) research design; (2) understanding and beliefs about research (resident and care home staff); (3) communication; (4) relationships; (5) eligibility criteria (resident and care home); (6) preference-based decisions; and (7) care home staff and environment. Given the complex interplay of the factors identified, both direct and indirect factors were included. CONCLUSIONS A number of recurring barriers and facilitators to the inclusion of care home residents in research are reported. However, isolating resident-related barriers was complex as both direct and indirect factors must be considered as influential. Understanding the barriers and facilitators to inclusion will enable these factors to be addressed and increase the evidence-base for care provided to older people living in care homes.
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Affiliation(s)
- Brittany Nocivelli
- Division of Population Medicine, PRIME Centre Wales, School of Medicine, Cardiff University, Cardiff, Wales.
| | - Victoria Shepherd
- Centre for Trials Research, School of Medicine, Cardiff University, Cardiff, Wales
| | - Kerenza Hood
- Centre for Trials Research, School of Medicine, Cardiff University, Cardiff, Wales
| | - Carolyn Wallace
- School of Care Sciences, University of South Wales, Newport, Wales
| | - Fiona Wood
- Division of Population Medicine, PRIME Centre Wales, School of Medicine, Cardiff University, Cardiff, Wales
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19
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Kwiatkowska R, Yaxley N, Moore G, Bennett A, Donati M, Love N, Vivancos R, Hickman M, Ready DR. Environmental sampling for SARS-CoV-2 in long term care facilities: lessons from a pilot study. Wellcome Open Res 2023; 6:235. [PMID: 38406228 PMCID: PMC10891430 DOI: 10.12688/wellcomeopenres.17047.2] [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] [Accepted: 06/23/2023] [Indexed: 02/27/2024] Open
Abstract
Background: The SARS-CoV-2 pandemic has highlighted the risk of infection in long-term care facilities (LTCF) and the vulnerability of residents to severe outcomes. Environmental surveillance may help detect pathogens early and inform Infection Prevention and Control (IPC) measures in these settings. Methods: Upon notification of SARS-CoV-2 outbreaks, LTCF within a local authority in South West England were approached to take part in this pilot study. Investigators visited to swab common touch-points and elevated 'non-touch' surfaces (>1.5m above ground level) and samples were analysed for presence of SARS-CoV-2 genetic material (RNA). Data were collected regarding LTCF infrastructure, staff behaviours, clinical and epidemiological risk factors for infection (staff and residents), and IPC measures. Criteria for success were: recruitment of three LTCF; detection of SARS-COV-2 RNA; variation in proportion of SARS-CoV-2 positive surfaces by sampling zone; and collection of clinical and epidemiological data for context. Results: Three LTCFs were recruited, ranging in size and resident demographics. Outbreaks lasted 63, 50 and 30 days with resident attack rates of 53%, 40% and 8%, respectively. The proportion of sample sites on which SARS-CoV-2 was detected was highest in rooms occupied by infected residents and varied elsewhere in the LTCF, with low levels in a facility implementing enhanced IPC measures. The heterogeneity of settings and difficulty obtaining data made it unfeasible to assess association between environmental contamination and infection. A greater proportion of elevated surfaces tested positive for SARS-CoV-2 RNA than common touch-points. Conclusions: SARS-CoV-2 RNA can be detected in a variety of LTCF outbreak settings, both on common-touch items and in elevated sites out of reach. This suggests that further work is justified, to assess feasibility and utility of environmental sampling for infection surveillance in LTCF.
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Affiliation(s)
- Rachel Kwiatkowska
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Health Protection Research Unit in Behavioural Science and Evaluation, University of Bristol, Bristol, UK
- Field Service, Health Protection Operations, UKHSA, Bristol, UK
| | - Nicola Yaxley
- Biosafety, Air and Water Microbiology Group, UKHSA, Porton Down, Salisbury, UK
| | - Ginny Moore
- Biosafety, Air and Water Microbiology Group, UKHSA, Porton Down, Salisbury, UK
| | - Allan Bennett
- Biosafety, Air and Water Microbiology Group, UKHSA, Porton Down, Salisbury, UK
| | - Matthew Donati
- Severn Infection Sciences, North Bristol NHS Trust, Bristol, UK
- UKHSA Specialised Microbiology and Laboratories,, South West Regional Laboratory, Bristol, UK
| | - Nicola Love
- Field Service, Health Protection Operations, UKHSA, Newcastle, UK
| | - Roberto Vivancos
- NIHR Health Protection Research Unit in Gastrointestinal Infections, University of Liverpool, Liverpool, UK
- Field Service, Health Protection Operations, UKHSA, Liverpool, UK
| | - Matthew Hickman
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Health Protection Research Unit in Behavioural Science and Evaluation, University of Bristol, Bristol, UK
| | - Derren R Ready
- NIHR Health Protection Research Unit in Behavioural Science and Evaluation, University of Bristol, Bristol, UK
- Field Service, Health Protection Operations, UKHSA, Bristol, UK
- Eastman Dental Institute, University College London, London, UK
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20
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Kim J, Choi G, Oh J, Park K, Yoo SJ. Comparative Study on Two COVID-19 Outbreaks at a Long-Term Mental Health Facility in Korea in 2020 and 2022. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1170. [PMID: 37374374 DOI: 10.3390/medicina59061170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 06/13/2023] [Accepted: 06/16/2023] [Indexed: 06/29/2023]
Abstract
(1) Background and Objectives: There were two distinct coronavirus disease 2019 (COVID-19) outbreaks in 2020 and 2022 at a long-term mental health facility (LTMHF) in Gyeonggi Province, Korea. We aimed to compare the two outbreaks and identify differences in epidemiological and clinical outcomes due to changes in epidemic timing and management methods. (2) Materials and Methods: The structural, operational, and case-specific LTMHF data of COVID-19-confirmed patients during these outbreaks in 2020 and 2022 were retrospectively analyzed. (3) Results: Forty individuals (37 residents) in 2020 and thirty-nine (32 residents) in 2022 were confirmed to have COVID-19, and ten were infected twice. Facility isolation was implemented as an infection control measure, and one COVID-19-related death occurred in 2020. All residents and staff were vaccinated at least twice in 2022; moreover, in 2022, 38 patients (97.4%) received a third vaccination less than months before infection. The average Ct value of the cases in 2022 was significantly higher than that in 2020; however, vaccine-breakthrough (V-BT) and reinfection after vaccination rates were similar. (4) Conclusions: COVID-19 vaccination could help lower the viral load of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which was inversely correlated with Ct values, and ventilation system improvements in health facilities might reduce transmissibility.
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Affiliation(s)
- Jina Kim
- Gyeonggi Infectious Disease Control Center, Health Bureau, Gyeonggi Provincial Government, Suwon 16508, Republic of Korea
| | - Gawon Choi
- Gyeonggi Infectious Disease Control Center, Health Bureau, Gyeonggi Provincial Government, Suwon 16508, Republic of Korea
| | - Jeonghyeon Oh
- Gyeonggi Infectious Disease Control Center, Health Bureau, Gyeonggi Provincial Government, Suwon 16508, Republic of Korea
| | - Kunhee Park
- Gyeonggi Infectious Disease Control Center, Health Bureau, Gyeonggi Provincial Government, Suwon 16508, Republic of Korea
| | - Seok-Ju Yoo
- Department of Preventive Medicine, College of Medicine, Dongguk University, Seoul 04620, Republic of Korea
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21
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de Gier B, van Asten L, Boere TM, van Roon A, van Roekel C, Pijpers J, van Werkhoven CHH, van den Ende C, Hahné SJM, de Melker HE, Knol MJ, van den Hof S. Effect of COVID-19 vaccination on mortality by COVID-19 and on mortality by other causes, the Netherlands, January 2021-January 2022. Vaccine 2023:S0264-410X(23)00660-6. [PMID: 37328352 PMCID: PMC10247887 DOI: 10.1016/j.vaccine.2023.06.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 05/25/2023] [Accepted: 06/01/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND We aimed to estimate vaccine effectiveness (VE) against COVID-19 mortality, and to explore whether an increased risk of non-COVID-19 mortality exists in the weeks following a COVID-19 vaccine dose. METHODS National registries of causes of death, COVID-19 vaccination, specialized health care and long-term care reimbursements were linked by a unique person identifier using data from 1 January 2021 to 31 January 2022. We used Cox regression with calendar time as underlying time scale to, firstly, estimate VE against COVID-19 mortality after primary and first booster vaccination, per month since vaccination and, secondly, estimate risk of non-COVID-19 mortality in the 5 or 8 weeks following a first, second or first booster dose, adjusting for birth year, sex, medical risk group and country of origin. RESULTS VE against COVID-19 mortality was > 90 % for all age groups two months after completion of the primary series. VE gradually decreased thereafter, to around 80 % at 7-8 months post-primary series for most groups, and around 60 % for elderly receiving a high level of long-term care and for people aged 90+ years. Following a first booster dose, the VE increased to > 85 % in all groups. The risk of non-COVID-19 mortality was lower or similar in the 5 or 8 weeks following a first dose compared to no vaccination, as well as following a second dose compared to one dose and a booster compared to two doses, for all age and long-term care groups. CONCLUSION At the population level, COVID-19 vaccination greatly reduced the risk of COVID-19 mortality and no increased risk of death from other causes was observed.
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Affiliation(s)
- Brechje de Gier
- Center for Epidemiology and Surveillance of Infectious Diseases, National Institute for Public Health and the Environment, PO Box 1, 3720 BA Bilthoven, The Netherlands.
| | - Liselotte van Asten
- Center for Epidemiology and Surveillance of Infectious Diseases, National Institute for Public Health and the Environment, PO Box 1, 3720 BA Bilthoven, The Netherlands
| | - Tjarda M Boere
- Center for Epidemiology and Surveillance of Infectious Diseases, National Institute for Public Health and the Environment, PO Box 1, 3720 BA Bilthoven, The Netherlands
| | - Annika van Roon
- Center for Epidemiology and Surveillance of Infectious Diseases, National Institute for Public Health and the Environment, PO Box 1, 3720 BA Bilthoven, The Netherlands
| | - Caren van Roekel
- Center for Epidemiology and Surveillance of Infectious Diseases, National Institute for Public Health and the Environment, PO Box 1, 3720 BA Bilthoven, The Netherlands
| | - Joyce Pijpers
- Center for Epidemiology and Surveillance of Infectious Diseases, National Institute for Public Health and the Environment, PO Box 1, 3720 BA Bilthoven, The Netherlands
| | - C H Henri van Werkhoven
- Center for Epidemiology and Surveillance of Infectious Diseases, National Institute for Public Health and the Environment, PO Box 1, 3720 BA Bilthoven, The Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, P.O. Box 85500, 3508 GA Utrecht, The Netherlands
| | - Caroline van den Ende
- Center for Epidemiology and Surveillance of Infectious Diseases, National Institute for Public Health and the Environment, PO Box 1, 3720 BA Bilthoven, The Netherlands
| | - Susan J M Hahné
- Center for Epidemiology and Surveillance of Infectious Diseases, National Institute for Public Health and the Environment, PO Box 1, 3720 BA Bilthoven, The Netherlands
| | - Hester E de Melker
- Center for Epidemiology and Surveillance of Infectious Diseases, National Institute for Public Health and the Environment, PO Box 1, 3720 BA Bilthoven, The Netherlands
| | - Mirjam J Knol
- Center for Epidemiology and Surveillance of Infectious Diseases, National Institute for Public Health and the Environment, PO Box 1, 3720 BA Bilthoven, The Netherlands
| | - Susan van den Hof
- Center for Epidemiology and Surveillance of Infectious Diseases, National Institute for Public Health and the Environment, PO Box 1, 3720 BA Bilthoven, The Netherlands
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22
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Yang XH, Bao WJ, Zhang H, Fu SK, Jin HM. The Efficacy of SARS-CoV-2 Vaccination in the Elderly: A Systemic Review and Meta-analysis. J Gen Intern Med 2023:10.1007/s11606-023-08254-9. [PMID: 37266884 DOI: 10.1007/s11606-023-08254-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 05/19/2023] [Indexed: 06/03/2023]
Abstract
BACKGROUND Given the reduced immune response to vaccines in older populations, this study aimed to evaluate the efficacy of COVID-19 vaccinations and its impact on breakthrough infection, hospital admission, and mortality in the elderly. METHODS We carried out a systemic review and meta-analysis where MEDLINE, Web of Science, EMBASE, ClinicalTrials.gov, and Cochrane Central Register for Controlled Trials were queried to identify relevant literature. We included randomized controlled trials (RCTs), non-randomized trials, prospective, observational cohort, and case-control studies assessing breakthrough infection, hospital admission, and mortality after coronavirus 2 (SARS-CoV-2) vaccination in the elderly (≥ 60 years old). RESULTS Overall, 26 studies were included in this meta-analysis. Compared with the unvaccinated group, the vaccinated group showed a decreased risk of SARS-CoV-2 infection after 28-34 (relative risk [RR] = 0.42, 95% confidence interval [CI] 0.37-0.49) and 35-60 days (RR = 0.49, 95% CI 0.37-0.62). There was a step-wise increase in efficacy with additional doses with the two-dose group experiencing decreased risk of breakthrough infection (RR = 0.37, 95% CI 0.32-0.42), hospital admissions (RR = 0.25, 95% CI 0.14-0.45), disease severity (RR = 0.38, 95% CI 0.20-0.70), and mortality (RR = 0.21, 95% CI 0.14-0.32) compared with those receiving one or no doses. Similarly three-dose and four-dose vaccine groups also showed a decreased risk of breakthrough infection (3-dose: RR = 0.14, 95% CI 0.10-0.20; 4-dose RR = 0.46, 95% CI 0.4-0.53), hospital admissions (3-dose: RR = 0.11, 95% CI 0.07-0.17; 4-dose: RR = 0.42, 95% CI 0.32-0.55), and all-cause mortality (3-dose: RR = 0.10, 95% CI 0.02-0.48; 4-dose: RR = 0.48, 95% CI 0.28-0.84) Subgroup analysis found that protection against mortality for vaccinated vs. unvaccinated groups was similar by age (60-79 years: RR = 0.59; 95% CI, 0.47-0.74; ≥ 80 years: RR = 0.76; 95% CI, 0.59-0.98) and gender (female: RR = 0.66; 95% CI, 0.50-0.87, male: (RR = 0.58; 95% CI, 0.44-0.76), and comorbid cardiovascular disease (CVD) (RR = 0.69; 95% CI, 0.52-0.92) or diabetes (DM) (RR = 0.59; 95% CI, 0.39-0.89. CONCLUSIONS Our pooled results showed that SARS-CoV-2 vaccines administered to the elderly is effective in preventing prevent breakthrough infection, hospitalization, severity, and death. What's more, increasing number of vaccine doses is becoming increasingly effective.
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Affiliation(s)
- Xiu Hong Yang
- Division of Nephrology, Shanghai Pudong Hospital, Fudan University, Pudong Medical Center, Gong Wei Road, Shanghai, China
- Department of Nephrology, Affiliated the Sixth People's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Wen Jing Bao
- Division of Nephrology, Shanghai Pudong Hospital, Fudan University, Pudong Medical Center, Gong Wei Road, Shanghai, China
| | - Hua Zhang
- Division of Nephrology, Shanghai Pudong Hospital, Fudan University, Pudong Medical Center, Gong Wei Road, Shanghai, China
| | - Shun Kun Fu
- Division of Nephrology, Shanghai Pudong Hospital, Fudan University, Pudong Medical Center, Gong Wei Road, Shanghai, China
| | - Hui Min Jin
- Division of Nephrology, Shanghai Pudong Hospital, Fudan University, Pudong Medical Center, Gong Wei Road, Shanghai, China.
- Department of Nephrology, the People's Hospital Of Wenshan Prefecture, Wenshan, Yunnan Province, China.
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23
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Rodilla AM, Tavolacci S, Cagan J, Shah T, Mittan S, Mack PC, Hirsch FR. Serological Response to SARS-CoV-2 after COVID-19 Vaccination in Lung Cancer Patients: Short Review. Vaccines (Basel) 2023; 11:969. [PMID: 37243073 PMCID: PMC10223259 DOI: 10.3390/vaccines11050969] [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: 03/31/2023] [Revised: 04/30/2023] [Accepted: 05/04/2023] [Indexed: 05/28/2023] Open
Abstract
In comparison to the general population, lung cancer patients are more likely to suffer from severe Coronavirus disease (COVID-19) and associated mortality. Considering this increased risk, and in order to prevent symptoms and severe disease, patients with lung cancer have been prioritized for COVID-19 vaccination primary and booster doses. Despite this, the pivotal clinical trials did not include these patients, which leaves open questions regarding vaccine efficacy and humoral immune response. This review outlines the findings of recent investigations into the humoral responses of lung cancer patients to COVID-19 vaccination, particularly the primary doses and first boost.
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Affiliation(s)
- Ananda M. Rodilla
- Center for Thoracic Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sooyun Tavolacci
- Center for Thoracic Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jazz Cagan
- Center for Thoracic Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Tanay Shah
- Center for Thoracic Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sandeep Mittan
- Department of Obstetrics, Gynecology and Medical Oncology, Montefiore Medical Center, The University Hospital for Albert Einstein College of Medicine, New York, NY 10461, USA
| | - Philip C. Mack
- Center for Thoracic Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Fred R. Hirsch
- Center for Thoracic Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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24
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Bello-Chavolla OY, Antonio-Villa NE, Valdés-Ferrer SI, Fermín-Martínez CA, Fernández-Chirino L, Vargas-Vázquez A, Ramírez-García D, Mancilla-Galindo J, Kammar-García A, Ávila-Funes JA, Zúñiga-Gil CH, García-Grimshaw M, Ceballos-Liceaga SE, Carbajal-Sandoval G, Montes-González JA, Zaragoza-Jiménez CA, García-Rodríguez G, Cortés-Alcalá R, Reyes-Terán G, López-Gatell H, Gutiérrez-Robledo LM. Effectiveness of a nationwide COVID-19 vaccination program in Mexico against symptomatic COVID-19, hospitalizations, and death: a retrospective analysis of national surveillance data. Int J Infect Dis 2023; 129:188-196. [PMID: 36775188 PMCID: PMC9918316 DOI: 10.1016/j.ijid.2023.01.040] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 01/05/2023] [Accepted: 01/27/2023] [Indexed: 02/12/2023] Open
Abstract
OBJECTIVES Vaccination has been effective in ameliorating the impact of COVID-19. Here, we report vaccine effectiveness (VE) of the nationally available COVID-19 vaccines in Mexico. METHODS Retrospective analysis of a COVID-19 surveillance system to assess the VE of the BNT162b2, messenger RNA (mRNA)-12732, Gam-COVID-Vac, Ad5-nCoV, Ad26.COV2.S, ChAdOx1, and CoronaVac vaccines against SARS-CoV-2 infection, COVID-19 hospitalization, and death in Mexico. The VE was estimated using time-varying Cox proportional hazard models in vaccinated and unvaccinated adults, adjusted for age, sex, and comorbidities. VE was also estimated for adults with diabetes, aged ≥60 years, and comparing the predominance of SARS-CoV-2 variants B.1.1.519 and B.1.617.2. RESULTS We assessed 793,487 vaccinated and 4,792,338 unvaccinated adults between December 24, 2020 and September 27, 2021. The VE against SARS-CoV-2 infection was the highest for fully vaccinated individuals with mRNA-12732 (91.5%, 95% confidence interval [CI] 90.3-92.4) and Ad26.COV2.S (82.2%, 95% CI 81.4-82.9); for COVID-19 hospitalization, BNT162b2 (84.3%, 95% CI 83.6-84.9) and Gam-COVID-Vac (81.4% 95% CI 79.5-83.1), and for mortality, BNT162b2 (89.8%, 95% CI 89.2-90.2) and mRNA-12732 (93.5%, 95% CI 86.0-97.0). The VE decreased for all vaccines in adults aged ≥60 years, people with diabetes, and periods of Delta variant predominance. CONCLUSION All the vaccines implemented in Mexico were effective against SARS-CoV-2 infection, COVID-19 hospitalization, and death. Mass vaccination with multiple vaccines is useful to maximize vaccination coverage.
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Affiliation(s)
| | - Neftali Eduardo Antonio-Villa
- Dirección de Investigación, Instituto Nacional de Geriatría, Mexico City, Mexico; MD/PhD (PECEM) Program, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Sergio Iván Valdés-Ferrer
- Department of Neurology and Psychiatry, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Carlos A Fermín-Martínez
- Dirección de Investigación, Instituto Nacional de Geriatría, Mexico City, Mexico; MD/PhD (PECEM) Program, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Luisa Fernández-Chirino
- Dirección de Investigación, Instituto Nacional de Geriatría, Mexico City, Mexico; Facultad de Química, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Arsenio Vargas-Vázquez
- MD/PhD (PECEM) Program, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Daniel Ramírez-García
- Dirección de Investigación, Instituto Nacional de Geriatría, Mexico City, Mexico; Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | | | - Ashuin Kammar-García
- Dirección de Investigación, Instituto Nacional de Geriatría, Mexico City, Mexico
| | | | | | - Miguel García-Grimshaw
- Department of Neurology and Psychiatry, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | | | | | | | | | | | - Ricardo Cortés-Alcalá
- Dirección General de Promoción de la Salud, Secretaría de Salud, Mexico City, Mexico
| | - Gustavo Reyes-Terán
- Comisión Coordinadora de Institutos Nacionales de Salud y Hospitales de Alta Especialidad, Mexico City, Mexico
| | - Hugo López-Gatell
- Subsecretaría de Prevención y Promoción de la Salud, Secretaría de Salud Direccion General de Epidemiologia, SecretarIa de Salud, Mexico City, Mexico
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Scanferla G, Héquet D, Graf N, Münzer T, Kessler S, Kohler P, Nussbaumer A, Petignat C, Schlegel M, Flury D. COVID-19 burden and influencing factors in Swiss long-term-care facilities: a cross-sectional analysis of a multicentre observational cohort. Swiss Med Wkly 2023; 153:40052. [PMID: 37011609 DOI: 10.57187/smw.2023.40052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023] Open
Abstract
OBJECTIVES: To describe the burden of COVID-19 in Swiss long-term care facilities in 2020, to identify its influencing factors, and to assess vaccination rates among residents and healthcare workers at the end of the vaccine campaign in Switzerland in May 2021.
DESIGN: Cross-sectional survey.
SETTING AND PARTICIPANTS: Long-term care facilities from two Swiss cantons (St. Gallen / Eastern Switzerland and Vaud / Western Switzerland).
METHODS: We collected numbers of COVID-19 cases and related deaths and all-cause mortality for 2020, potential risk factors at the institutional level (e.g. size, infection prevention and control measures, and resident characteristics), and vaccination rates among residents and healthcare workers. Univariate and multivariate analyses were used to identify factors associated with resident mortality in 2020.
RESULTS: We enrolled 59 long-term care facilities with a median of 46 (interquartile range [IQR]: 33–69) occupied beds. In 2020, the median COVID-19 incidence was 40.2 (IQR: 0–108.6) per 100 occupied beds, with higher rates in VD (49.9%) than in SG (32.5%; p = 0.037). Overall, 22.7% of COVID-19 cases died, of which 24.8% were COVID-19-related deaths. In the univariate analysis, higher resident mortality was associated with COVID-19 rates among residents (p < 0.001) and healthcare workers (p = 0.002) and age (p = 0.013). Lower resident mortality was associated with the proportion of single rooms (p = 0.012), isolation of residents with COVID-19 in single rooms (p = 0.003), symptom screening of healthcare workers (p = 0.031), limiting the number of visits per day (p = 0.004), and pre-scheduling visits (p = 0.037). In the multivariate analysis, higher resident mortality was only associated with age (p = 0.03) and the COVID-19 rate among residents (p = 0.013). Among 2936 residents, 2042 (69.9%) received ≥1 dose of the COVID-19 vaccine before 31 May 2021. Vaccine uptake among healthcare workers was 33.8%.
CONCLUSION AND IMPLICATIONS: COVID-19 burden was high but also highly variable in Swiss long-term care facilities. severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection among healthcare workers was a modifiable factor associated with increased resident mortality. Symptom screening of healthcare workers appeared to be an effective preventive strategy and should be included in routine infection prevention and control measures. Promoting COVID-19 vaccine uptake among healthcare workers should be a priority in Swiss long-term care facilities.
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Affiliation(s)
- Giulia Scanferla
- Department of Infectious Diseases/Hospital Epidemiology, Cantonal Hospital St Gallen, St Gallen, Switzerland
| | - Delphine Héquet
- Unité cantonale hygiène, prévention et contrôle de l'infection, Canton de Vaud, Switzerland
| | - Nicole Graf
- Clinical Trials Unit (CTU), Cantonal Hospital St Gallen, St Gallen, Switzerland
| | | | - Simone Kessler
- Department of Infectious Diseases/Hospital Epidemiology, Cantonal Hospital St Gallen, St Gallen, Switzerland
| | - Philipp Kohler
- Department of Infectious Diseases/Hospital Epidemiology, Cantonal Hospital St Gallen, St Gallen, Switzerland
| | - Andres Nussbaumer
- Department of Infectious Diseases/Hospital Epidemiology, Cantonal Hospital St Gallen, St Gallen, Switzerland
| | - Christiane Petignat
- Department of Infectious Diseases/Hospital Epidemiology, Cantonal Hospital St Gallen, St Gallen, Switzerland
| | - Matthias Schlegel
- Department of Infectious Diseases/Hospital Epidemiology, Cantonal Hospital St Gallen, St Gallen, Switzerland
| | - Domenica Flury
- Department of Infectious Diseases/Hospital Epidemiology, Cantonal Hospital St Gallen, St Gallen, Switzerland
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Pacheco-García U, Serafín-López J. Indirect Dispersion of SARS-CoV-2 Live-Attenuated Vaccine and Its Contribution to Herd Immunity. Vaccines (Basel) 2023; 11:655. [PMID: 36992239 PMCID: PMC10055900 DOI: 10.3390/vaccines11030655] [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: 12/29/2022] [Revised: 03/03/2023] [Accepted: 03/07/2023] [Indexed: 03/16/2023] Open
Abstract
It has been 34 months since the beginning of the SARS-CoV-2 coronavirus pandemic, which causes the COVID-19 disease. In several countries, immunization has reached a proportion near what is required to reach herd immunity. Nevertheless, infections and re-infections have been observed even in vaccinated persons. That is because protection conferred by vaccines is not entirely effective against new virus variants. It is unknown how often booster vaccines will be necessary to maintain a good level of protective immunity. Furthermore, many individuals refuse vaccination, and in developing countries, a large proportion of the population has not yet been vaccinated. Some live-attenuated vaccines against SARS-CoV-2 are being developed. Here, we analyze the indirect dispersion of a live-attenuated virus from vaccinated individuals to their contacts and the contribution that this phenomenon could have to reaching Herd Immunity.
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Affiliation(s)
- Ursino Pacheco-García
- Department of Cardio-Renal Pathophysiology, Instituto Nacional de Cardiología “Ignacio Chávez”, Mexico City 14080, Mexico
| | - Jeanet Serafín-López
- Department of Immunology, Escuela Nacional de Ciencias Biológicas (ENCB), Instituto Politécnico Nacional (IPN), Mexico City 11340, Mexico
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27
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Wei J, Zhang W, Doherty M, Wallace ZS, Sparks JA, Lu N, Li X, Zeng C, Lei G, Zhang Y. Comparative effectiveness of BNT162b2 and ChAdOx1 nCoV-19 vaccines against COVID-19. BMC Med 2023; 21:78. [PMID: 36855108 PMCID: PMC9974059 DOI: 10.1186/s12916-023-02795-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Accepted: 02/20/2023] [Indexed: 03/02/2023] Open
Abstract
BACKGROUND Both BNT162b2 (Pfizer-BioNTech) and ChAdOx1 nCoV-19 (Oxford-AstraZeneca) vaccines have shown high efficacy against COVID-19 in randomized controlled trials. However, their comparative effectiveness against COVID-19 is unclear in the real world. We evaluated the comparative effectiveness of the BNT162b2 and ChAdOx1 nCoV-19 vaccines against COVID-19 in the UK general population. METHODS We emulated a target trial using IQVIA Medical Research Database (IMRD), an electronic primary care database from the UK (2021). We included 1,311,075 participants, consisting of 637,549 men and 673,526 women age≥18 years, who received vaccination with BNT162b2 or ChAdOx1 nCoV-19 between January 1 and August 31, 2021. The outcomes consisted of confirmed diagnosis of SARS-CoV-2 infection, hospitalisation for COVID-19 and death from COVID-19 in the IMRD. We performed a cox-proportional hazard model to compare the risk of each outcome variable between the two vaccines adjusting for potential confounders with time-stratified overlap weighting of propensity score (PS). RESULTS During a mean of 6.7 months of follow-up, 20,070 confirmed SARS-CoV-2 infection occurred in individuals who received BNT162b2 vaccine (PS weighted incidence rate: 3.65 per 1000 person-months), and 31,611 SARS-CoV-2 infection occurred in those who received ChAdOx1 nCoV-19 vaccine (PS weighted incidence rate: 5.25 per 1000 person-months). The time-stratified PS weighted rate difference of SARS-CoV-2 infection for BNT162b2 group vs. ChAdOx1 nCoV-19 group was -1.60 per 1000 person-months (95% confidence interval [CI]: -1.76 to -1.43 per 1000 person-months), and the hazard ratio was 0.69 (95% CI: 0.68 to 0.71). The results were similar across the stratum of sex, age (<65 and ≥65 years), and study periods (i.e., alpha-variant predominance period and delta-variant predominance period). The PS weighted incidence of hospitalisation for COVID-19 was also lower in the BNT162b2 vaccine group than that in the ChAdOx1 vaccine group (RD: -0.09, 95%CI: -0.13 to -0.05 per 1000 person-months; HR: 0.65, 95%CI: 0.57 to 0.74). No significant difference in the risk of death from COVID-19 was observed between the two comparison groups. CONCLUSIONS In this population-based study, the BNT162b2 vaccine appears to be more efficacious than the ChAdOx1 nCoV-19 vaccine against SARS-CoV-2 infection and hospitalisation for COVID-19 but not death from COVID-19.
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Affiliation(s)
- Jie Wei
- Health Management Center, Xiangya Hospital, Central South University, Changsha, China
| | - Weiya Zhang
- Academic Rheumatology, Clinical Sciences Building, University of Nottingham, City Hospital, Nottingham, UK.,Arthritis Research UK Pain Centre, Nottingham, UK
| | - Michael Doherty
- Academic Rheumatology, Clinical Sciences Building, University of Nottingham, City Hospital, Nottingham, UK.,Arthritis Research UK Pain Centre, Nottingham, UK
| | - Zachary S Wallace
- Division of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, USA.,The Mongan Institute, Massachusetts General Hospital, Harvard Medical School, Boston, USA.,Department of Medicine, Harvard Medical School, Boston, USA
| | - Jeffrey A Sparks
- Department of Medicine, Harvard Medical School, Boston, USA.,Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Boston, USA
| | - Na Lu
- Arthritis Research Canada, Richmond, Canada
| | - Xiaoxiao Li
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China
| | - Chao Zeng
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China. .,Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China.
| | - Guanghua Lei
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China. .,Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China.
| | - Yuqing Zhang
- Division of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, USA. .,The Mongan Institute, Massachusetts General Hospital, Harvard Medical School, Boston, USA.
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Nakakubo S, Kishida N, Okuda K, Kamada K, Iwama M, Suzuki M, Yokota I, Ito YM, Nasuhara Y, Boucher RC, Konno S. Associations of COVID-19 Symptoms with Omicron Subvariants BA.2 and BA.5, Host Status, and Clinical Outcomes: A Registry-Based Observational Study in Sapporo, Japan. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.02.02.23285393. [PMID: 36798223 PMCID: PMC9934721 DOI: 10.1101/2023.02.02.23285393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Background Previous SARS-CoV-2 infection and vaccination, coupled to rapid evolution of SARS-CoV-2 variants, have modified COVID-19 clinical manifestations. We characterized clinical symptoms of COVID-19 individuals in omicron BA.2 and BA.5 Japanese pandemic periods to identify omicron and subvariant associations between symptoms, immune status, and clinical outcomes. Methods Individuals registered in Sapporo's web-based COVID-19 information system entered 12 pre-selected symptoms, days since symptom onset, vaccination history, SARS-CoV-2 infection history, and background. Symptom frequencies, variables associated with symptoms, and symptoms associated with progression to severe disease were analysed. Results For all omicron-infected individuals, cough was the most common symptom (62.7%), followed by sore throat (60.7%), nasal discharge (44.3%), and fever (38.8%). Omicron BA.5 infection was associated with a higher symptom burden than BA.2 in vaccinated and unvaccinated individuals. Omicron breakthrough-infected individuals with ≥ 3 vaccinations or previous infection were less likely to exhibit systemic symptoms, but more likely to exhibit upper respiratory symptoms. Infected elderly individuals had lower odds for all symptoms, but, when symptoms were manifest, systemic symptoms were associated with an increased risk, whereas upper respiratory symptoms with a decreased risk, of severe disease. Conclusion Host immunological status, omicron subvariant, and age were associated with a spectrum of COVID-19 symptoms and outcomes. BA.5 produced a greater symptom burden than BA.2. Vaccination and prior infection mitigated systemic symptoms and improved outcomes, but increased upper respiratory tract symptom burden. Systemic, but not upper respiratory, symptoms in the elderly heralded severe disease.
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Affiliation(s)
- Sho Nakakubo
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Naoki Kishida
- Emergency Management Bureau, City of Sapporo, Sapporo, Japan
| | - Kenichi Okuda
- Marsico Lung Institute/Cystic Fibrosis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Keisuke Kamada
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
- Department of Mycobacterium Reference and Research, The Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan
- Department of Epidemiology and Clinical Research, The Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan
| | - Masami Iwama
- Management Section, Medical Management Office, Health and Welfare Bureau, City of Sapporo, Sapporo, Japan
| | - Masaru Suzuki
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Isao Yokota
- Department of Biostatistics, Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Yoichi M. Ito
- Data Science Center, Promotion Unit, Institute of Health Science Innovation for Medical Care, Hokkaido University Hospital, Sapporo, Japan
| | - Yasuyuki Nasuhara
- Division of Hospital Safety Management, Hokkaido University Hospital, Sapporo, Japan
| | - Richard C. Boucher
- Marsico Lung Institute/Cystic Fibrosis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Satoshi Konno
- Department of Respiratory Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
- Hokkaido University, Institute for Vaccine Research and Development
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29
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Park JK, Bhandari S. Literature review on COVID-19 vaccine efficacy in the immunocompromised population, and possible implications to future vaccination in kidney transplant patients. Front Med (Lausanne) 2023; 10:1103699. [PMID: 36817787 PMCID: PMC9931721 DOI: 10.3389/fmed.2023.1103699] [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: 11/20/2022] [Accepted: 01/16/2023] [Indexed: 02/05/2023] Open
Abstract
Since the emergence of the virulent coronavirus in 2019, efforts to tackle the coronavirus-disease-2019 (COVID-19) pandemic have been made globally. The development of the coronavirus disease (COVID) vaccine was a significant breakthrough in ways to tackle the virus. Various research studies have been conducted to identify how the virus works and ways to manage COVID, including the efficacy of the vaccines. However, there is limited data on how these measures work for the immunocompromised, despite the grave impact of these virulent strains in this population. Specifically, this review aims to focus on kidney transplant recipients (KTRs). Studies have suggested that there is significantly lower vaccine response in some immunocompromised groups despite additional booster doses, and hence warrants an augmented or alternative protection against the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) for these patients. This suggests a need for alternative or more tailored approach in providing adequate protection against the COVID-19 in these cohorts. Some suggested ways include withholding immunosuppressants before and/or after vaccination, increasing the vaccine doses or reducing intervals and providing a mixture of monoclonal antibody (mAb) or antiviral therapy. However, the appropriate degree of alteration and augmentation, as well as its safety and effectiveness remains to be determined. Furthermore, continuous emergence of more virulent strains, such as the Omicron and its sub-lineages or the Deltacron, emphasises the need for ongoing research to assess the effectiveness of the current treatment against these new variants. Overall, active interest and appropriate updates to COVID-19 guidelines is necessary.
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Affiliation(s)
- Joo Kyung Park
- Department of Renal Medicine, Hull University Teaching Hospitals NHS Trust, Kingston upon Hull, United Kingdom,Joo Kyung Park, ; orcid.org/0000-0002-7034-4998
| | - Sunil Bhandari
- Department of Renal Medicine, Hull University Teaching Hospitals NHS Trust, Kingston upon Hull, United Kingdom,Hull York Medical School, Kingston upon Hull, United Kingdom,*Correspondence: Sunil Bhandari, ; orcid.org/0000-0002-0996-9622
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30
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Vicentini C, Zotti CM, Cornio AR, Garlasco J, Marengo N, Meddis D, Ditommaso S, Giacomuzzi M, Memoli G, Bordino V, Gianino MM. Antibody responses to BNT162b2 SARS-CoV-2 mRNA vaccine among healthcare workers and residents of long-term care facilities: A cohort study in Northern Italy. Health Sci Rep 2023; 6:e1087. [PMID: 36789400 PMCID: PMC9922049 DOI: 10.1002/hsr2.1087] [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: 10/20/2022] [Revised: 01/17/2023] [Accepted: 01/19/2023] [Indexed: 02/13/2023] Open
Abstract
Background and Aims Long-term care facilities (LTCFs) have been severely impacted by COVID-19, with a disproportionate amount of SARS-CoV-2 infections and related deaths occurring among residents. Methods This study is part of an ongoing multicenter, prospective cohort study conducted among healthcare workers (HCWs) and residents of 13 LTCFs in Northern Italy designed to evaluate SARS-CoV-2 specific immunoglobulin class G (IgG) titers before and following vaccination with Pfizer/BNT162b2 SARS-CoV-2 mRNA vaccine (two doses of vaccine, 21 days apart). Serum samples were obtained from participants (t0) before vaccination, and (t1) 2 weeks after and analyzed to determine anti-S1 IgG antibodies. Results Five hundred and thirty-four participants were enrolled (404 subjects participated in both blood draws). Seropositivity was 50.19% at t0 and 99% at t1, with a significant difference in IgG titers. A higher proportion of residents were seropositive at t0 compared with HCWs, with significantly higher IgG titers among residents at both t0 and t1. Pre-existing immunity also had a significant effect on postvaccination IgG titers. However, a significant difference in titers at t1 between HCWs and residents considering only participants seropositive at t0 was found, with higher median titers among previously seropositive residents. Conclusion Findings of this study provide scientific evidence endorsing the policy of universal vaccination in LTCFs.
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Affiliation(s)
- Costanza Vicentini
- Department of Public Health and PaediatricsUniversity of TurinTurinItaly
| | - Carla Maria Zotti
- Department of Public Health and PaediatricsUniversity of TurinTurinItaly
| | | | - Jacopo Garlasco
- Department of Public Health and PaediatricsUniversity of TurinTurinItaly
| | - Noemi Marengo
- Department of Public Health and PaediatricsUniversity of TurinTurinItaly
| | - Davide Meddis
- Department of Public Health and PaediatricsUniversity of TurinTurinItaly
| | - Savina Ditommaso
- Department of Public Health and PaediatricsUniversity of TurinTurinItaly
| | - Monica Giacomuzzi
- Department of Public Health and PaediatricsUniversity of TurinTurinItaly
| | - Gabriele Memoli
- Department of Public Health and PaediatricsUniversity of TurinTurinItaly
| | - Valerio Bordino
- Department of Public Health and PaediatricsUniversity of TurinTurinItaly
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31
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Stupica D, Collinet-Adler S, Kejžar N, Poljak M, Štamol T. SARS-CoV-2 Vaccination and Clinical Presentation of COVID-19 in Patients Hospitalized during the Delta- and Omicron-Predominant Periods. J Clin Med 2023; 12:jcm12030961. [PMID: 36769609 PMCID: PMC9918275 DOI: 10.3390/jcm12030961] [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: 12/31/2022] [Revised: 01/23/2023] [Accepted: 01/24/2023] [Indexed: 01/30/2023] Open
Abstract
Evidence suggests that monovalent vaccine formulations are less effective against the Omicron SARS-CoV-2 than against previous variants. In this retrospective cohort study of hospitalized adults with PCR-confirmed COVID-19 during the Delta (October-November 2021) and Omicron (January-April 2022) variant predominant periods in Slovenia, we assessed the association between primary vaccination against SARS-CoV-2 and progression to critically severe disease (mechanical ventilation or death). Compared with the 529 patients hospitalized for acute COVID-19 during the Delta period (median age 65 years; 58.4% men), the 407 patients hospitalized during the Omicron period (median age 75 years; 50.6% men) were older, more often resided in long-term care facilities, and had higher Charlson comorbidity index scores. After adjusting for age, sex, the Charlson comorbidity index, the presence of immunocompromising conditions, and vaccination status, the patients admitted during the Omicron period had comparable odds of progressing to critically severe disease to those admitted during the Delta period. The 334/936 (35.7%) patients completing at least primary vaccination had lower odds of progression to critically severe disease and shorter hospital stay than unvaccinated patients; however, the protective effect of vaccination was less pronounced during the Omicron than during the Delta period. Although the Omicron variant appeared to better evade immunity induced by monovalent vaccines than the Delta variant, vaccination against SARS-CoV-2 remained an effective intervention to decrease morbidity and mortality in COVID-19 patients infected with the Omicron variant.
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Affiliation(s)
- Daša Stupica
- Department of Infectious Diseases, University Medical Center Ljubljana, Japljeva 2, 1525 Ljubljana, Slovenia
- Department of Infectious Diseases, Faculty of Medicine, University of Ljubljana, Japljeva 2, 1000 Ljubljana, Slovenia
- Correspondence: ; Tel.: +386-31-689-324
| | - Stefan Collinet-Adler
- Department of Infectious Diseases, Methodist Hospital, Park Nicollet/Health Partners, Minneapolis, MN 55426, USA
| | - Nataša Kejžar
- Institute for Biostatistics and Medical Informatics, Faculty of Medicine, University of Ljubljana, Vrazov Trg 2, 1000 Ljubljana, Slovenia
| | - Mario Poljak
- Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloška 4, 1000 Ljubljana, Slovenia
| | - Tina Štamol
- Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloška 4, 1000 Ljubljana, Slovenia
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Zeng Y, Lin C, Liu C, Huang C, Chen F, Cao Y, Wu S, Wei D, Lin Z, Zhang Y, Zhang L, Teng J, Li Z, Hong G, Yang T, Ye H, Tu H, Xiao Y, Huang L, Zhang J, Chen T, Li J, Ji F, Ou Q. Evaluating the value of anti-SARS-CoV-2 antibody detection and neutralizing responses with euvirus: A population of 10776 close contacts in the epidemic of Fujian. Clin Chim Acta 2023; 539:237-243. [PMID: 36572136 PMCID: PMC9783188 DOI: 10.1016/j.cca.2022.12.017] [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: 09/27/2022] [Revised: 12/12/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Nucleic acid detection represents limitations due to its false-negative rate and technical complexity in the COVID-19 pandemic. Anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody tests are widely spread all over the world presently. However, there is no report on the effectiveness of anti-SARS-CoV-2 antibody testing methods in China. METHODS We gathered 10776 serum samples from close contacts of the SARS-CoV-2 infections in Fujian of China and used 2 chemiluminescence immunoassays (Wantai Bio., Yahuilong Bio.) and 2 lateral flow immunoassays (Lizhu Bio. and Dongfang Bio.) to perform the anti-SARS-CoV-2 antibody tests in China. RESULTS The 4 antibody tests have great diagnostic value for infected or uninfected, especially in the neutralizing antibodies tests, the AUC can reach 0.939 (Wantai Bio.) and 0.916 (Yahuilong Bio.). Furthermore, we used pseudoviruses and euvirus neutralization assay to validate the effectiveness of these antibody test, the results of pseudoviruses neutralization assay or euvirus neutralization assay shows a considerable correlation with the 4 antibody detection respectively, particularly in euvirus neutralization assay, neutralizing antibodies detected by Wantai Bio. or Yahuilong Bio., the correlation can get the level of 0.93 or 0.82. CONCLUSIONS The findings of this study demonstrate that the detections of antibodies have profound value in the diagnosis of COVID-19.
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Affiliation(s)
- Yongbin Zeng
- Department of Laboratory Medicine, Gene Diagnosis Research Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, PR China; Fujian Key Laboratory of Laboratory Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, PR China
| | - Caorui Lin
- Department of Laboratory Medicine, Gene Diagnosis Research Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, PR China; Fujian Key Laboratory of Laboratory Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, PR China
| | - Can Liu
- Department of Laboratory Medicine, Gene Diagnosis Research Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, PR China; Fujian Key Laboratory of Laboratory Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, PR China
| | - Chun Huang
- Fujian Medical Association, Fuzhou, PR China
| | - Falin Chen
- Department of Clinical Laboratory, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, PR China
| | - Yingping Cao
- Department of Laboratory Medicine, Fujian Medical University Union Hospital, Fuzhou, PR China
| | - Siying Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, PR China
| | - Donghong Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, PR China
| | - Zhong Lin
- Fujian Provincial Center for Disease Control and Prevention, Fuzhou, PR China
| | - Yali Zhang
- The State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Collaborative Innovation Center of Biologic Products, School of Public Health and School of Life Science, Xiamen University, Xiamen, PR China
| | - Ling Zhang
- Department of Laboratory Medicine, Land Force No.73 Group Army Hospital of PLA, Xiamen, PR China
| | - Jing Teng
- Department of Laboratory Medicine, Beijing University of Chinese Medicine Xiamen Hospital, Xiamen, PR China
| | - Zishun Li
- Department of Laboratory Medicine, The Third Hospital of Xiamen, Xiamen, PR China
| | - Guolin Hong
- Department of Laboratory Medicine, The First Affiliated Hospital of Xiamen University, Xiamen Key Laboratory of Genetic Testing, School of Medicine, Xiamen University, Xiamen, PR China
| | - Tianci Yang
- Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, PR China
| | - Huiming Ye
- Department of Clinical Laboratory, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, PR China
| | - Haijian Tu
- Department of Laboratory Medicine, Affiliated Hospital of Putian University, Putian, PR China
| | - Yupeng Xiao
- Department of Clinical Laboratory, Putian Municipal First Hospital, Putian, PR China
| | - Lishan Huang
- Fujian Provincial Healthcare Center, Fuzhou, PR China
| | - Jiawei Zhang
- Department of Laboratory Medicine, Gene Diagnosis Research Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, PR China; Fujian Key Laboratory of Laboratory Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, PR China
| | - Tianbin Chen
- Department of Laboratory Medicine, Gene Diagnosis Research Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, PR China; Fujian Key Laboratory of Laboratory Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, PR China
| | - Jinming Li
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, PR China.
| | - Fusui Ji
- Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Science, PR China.
| | - Qishui Ou
- Department of Laboratory Medicine, Gene Diagnosis Research Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, PR China; Fujian Key Laboratory of Laboratory Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, PR China.
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Khatrawi EM, Sayed AA. The Reasons behind COVID-19 Vaccination Hesitancy among the Parents of Children Aged between 5 to 11 Years Old in Saudi Arabia. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:1345. [PMID: 36674101 PMCID: PMC9859117 DOI: 10.3390/ijerph20021345] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 01/06/2023] [Accepted: 01/09/2023] [Indexed: 06/01/2023]
Abstract
Simultaneously with the development of the COVID-19 vaccination plan for minors, it is critical to understand the reasons related to parental COVID-19 vaccination hesitancy. This study aims to determine the reasons associated with vaccination hesitancy among parents, and the prevalence and the characteristics of the parents who are hesitant to allow their children aged between 5 to 11 years old to be administered the COVID-19 vaccines. A web-based questionnaire was used to perform this study between May 2022 to September 2022 in Saudi Arabia (SA). Several factors, personal and social, affected the participants' willingness to vaccinate their children with the COVID-19 vaccines. The age of the parents was found to have a significant impact on their decision to vaccinate their children. Those between the age of 40-49 years of age were the most willing to vaccinate (almost 41%) compared to those 50 years or older who were most resistant to vaccination. Female participants were more resistant to vaccinating their children compared to their male counterparts. Saudis were more resistant to vaccinating their children compared to the non-Saudi participants. Those private sector-employed parents were the most willing to vaccinate (16.6%), followed by those working in the governmental sector (13.8%). About 40.7% of non-healthcare workers were resistant to vaccinating their minor compared to healthcare workers (8.7%). In conclusion, the study presents several factors that affect the parental willingness to vaccinate their children in SA. These factors should be properly addressed when developing public health strategies to promote the COVID-19 vaccination of children in SA.
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Affiliation(s)
- Elham Mohammed Khatrawi
- Department of Medical Microbiology and Immunology, Taibah University, College of Medicine, Madinah 42353, Saudi Arabia
| | - Anwar A. Sayed
- Department of Medical Microbiology and Immunology, Taibah University, College of Medicine, Madinah 42353, Saudi Arabia
- Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, UK
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Al-Rifai RH, Alhosani F, Abuyadek R, Atef S, Donnelly JG, Leinberger-Jabari A, Ahmed LA, Altrabulsi B, Alatoom A, Alsuwaidi AR, AbdelWareth L. Evaluation of post-vaccination immunoglobulin G antibodies and T-cell immune response after inoculation with different types and doses of SARS-CoV-2 vaccines: A retrospective cohort study. Front Med (Lausanne) 2023; 9:1092646. [PMID: 36703898 PMCID: PMC9871809 DOI: 10.3389/fmed.2022.1092646] [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: 11/08/2022] [Accepted: 12/15/2022] [Indexed: 01/12/2023] Open
Abstract
Introduction The induction and speed of production of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) immune biomarkers may vary by type and number of inoculated vaccine doses. This study aimed to explore variations in SARS-CoV-2 anti-spike (anti-S), anti-nucleocapsid (anti-N), and neutralizing immunoglobulin G (IgG) antibodies, and T-cell response by type and number of SARS-CoV-2 vaccine doses received. Methods In a naturally exposed and SARS-CoV-2-vaccinated population, we quantified the anti-S, anti-N, and neutralizing IgG antibody concentration and assessed T-cell response. Data on socio-demographics, medical history, and history of SARS-CoV-2 infection and vaccination were collected. Furthermore, nasal swabs were collected to test for SARS-CoV-2 infection. Confounder-adjusted association between having equal or more than a median concentration of the three IgG antibodies and T-cell response by number and type of the inoculated vaccines was quantified. Results We surveyed 952 male participants with a mean age of 35.5 years ± 8.4 standard deviations. Of them, 52.6% were overweight/obese, and 11.7% had at least one chronic comorbidity. Of the participants, 1.4, 0.9, 20.2, 75.2, and 2.2% were never vaccinated, primed with only one dose, primed with two doses, boosted with only one dose, and boosted with two doses, respectively. All were polymerase chain reaction-negative to SARS-CoV-2. BBIBP-CorV (Sinopharm) was the most commonly used vaccine (92.1%), followed by rAd26-S + rAd5-S (Sputnik V Gam-COVID-Vac) (1.5%) and BNT162b2 (Pfizer-BioNTech) (0.3%). Seropositivity to anti-S, anti-N, and neutralizing IgG antibodies was detected in 99.7, 99.9, and 99.3% of the study participants, respectively. The T-cell response was detected in 38.2% of 925 study participants. Every additional vaccine dose was significantly associated with increased odds of having ≥median concentration of anti-S [adjusted odds ratio (aOR), 1.34; 95% confidence interval (CI): 1.02-1.76], anti-N (aOR, 1.35; 95% CI: 1.03-1.75), neutralizing IgG antibodies (aOR, 1.29; 95% CI: 1.00-1.66), and a T-cell response (aOR, 1.48; 95% CI: 1.12-1.95). Compared with boosting with only one dose, boosting with two doses was significantly associated with increased odds of having ≥median concentration of anti-S (aOR, 13.8; 95% CI: 1.78-106.5), neutralizing IgG antibodies (aOR, 13.2; 95% CI: 1.71-101.9), and T-cell response (aOR, 7.22; 95% CI: 1.99-26.5) although not with anti-N (aOR, 0.41; 95% CI: 0.16-1.08). Compared with priming and subsequently boosting with BBIBP-CorV, all participants who were primed with BBIBP-CorV and subsequently boosted with BNT162b2 had ≥median concentration of anti-S and neutralizing IgG antibodies and 14.6-time increased odds of having a T-cell response (aOR, 14.63; 95% CI: 1.78-120.5). Compared with priming with two doses, boosting with the third dose was not associated, whereas boosting with two doses was significantly associated with having ≥median concentration of anti-S (aOR, 14.20; 95% CI: 1.85-109.4), neutralizing IgG (aOR, 13.6; 95% CI: 1.77-104.3), and T-cell response (aOR, 7.62; 95% CI: 2.09-27.8). Conclusion Achieving and maintaining a high blood concentration of protective immune biomarkers that predict vaccine effectiveness is very critical to limit transmission and contain outbreaks. In this study, boosting with only one dose or with only BBIBP-CorV after priming with BBIBP-CorV was insufficient, whereas boosting with two doses, particularly boosting with the mRNA-based vaccine, was shown to be associated with having a high concentration of anti-S, anti-N, and neutralizing IgG antibodies and producing an efficient T-cell response.
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Affiliation(s)
- Rami H. Al-Rifai
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates,Zayed Center for Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates,*Correspondence: Rami H. Al-Rifai,
| | - Farida Alhosani
- Abu Dhabi Public Health Center–ADPHC, Abu Dhabi, United Arab Emirates
| | - Rowan Abuyadek
- Abu Dhabi Public Health Center–ADPHC, Abu Dhabi, United Arab Emirates,High Institute of Public Health, Alexandria University, Alexandria, Egypt
| | - Shereen Atef
- National Reference Laboratory, Abu Dhabi, United Arab Emirates,Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | | | | | - Luai A. Ahmed
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates,Zayed Center for Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Basel Altrabulsi
- National Reference Laboratory, Abu Dhabi, United Arab Emirates,Pathology and Laboratory Medicine Institute (PLMI), Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates
| | - Adnan Alatoom
- National Reference Laboratory, Abu Dhabi, United Arab Emirates,Pathology and Laboratory Medicine Institute (PLMI), Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates
| | - Ahmed R. Alsuwaidi
- Department of Pediatrics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Laila AbdelWareth
- National Reference Laboratory, Abu Dhabi, United Arab Emirates,Pathology and Laboratory Medicine Institute (PLMI), Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates
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Tut G, Lancaster T, Krutikov M, Sylla P, Bone D, Spalkova E, Bentley C, Amin U, Jadir A, Hulme S, Kaur N, Tut E, Bruton R, Wu MY, Harvey R, Carr EJ, Beale R, Stirrup O, Shrotri M, Azmi B, Fuller C, Baynton V, Irwin-Singer A, Hayward A, Copas A, Shallcross L, Moss P. Strong peak immunogenicity but rapid antibody waning following third vaccine dose in older residents of care homes. NATURE AGING 2023; 3:93-104. [PMID: 37118525 PMCID: PMC10154221 DOI: 10.1038/s43587-022-00328-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 11/03/2022] [Indexed: 04/30/2023]
Abstract
Third-dose coronavirus disease 2019 vaccines are being deployed widely but their efficacy has not been assessed adequately in vulnerable older people who exhibit suboptimal responses after primary vaccination series. This observational study, which was carried out by the VIVALDI study based in England, looked at spike-specific immune responses in 341 staff and residents in long-term care facilities who received an mRNA vaccine following dual primary series vaccination with BNT162b2 or ChAdOx1. Third-dose vaccination strongly increased antibody responses with preferential relative enhancement in older people and was required to elicit neutralization of Omicron. Cellular immune responses were also enhanced with strong cross-reactive recognition of Omicron. However, antibody titers fell 21-78% within 100 d after vaccine and 27% of participants developed a breakthrough Omicron infection. These findings reveal strong immunogenicity of a third vaccine in one of the most vulnerable population groups and endorse an approach for widespread delivery across this population. Ongoing assessment will be required to determine the stability of immune protection.
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Affiliation(s)
- Gokhan Tut
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Tara Lancaster
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | | | - Panagiota Sylla
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - David Bone
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Eliska Spalkova
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Christopher Bentley
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Umayr Amin
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Azar Jadir
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Samuel Hulme
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Nayandeep Kaur
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Elif Tut
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Rachel Bruton
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Mary Y Wu
- Covid Surveillance Unit, The Francis Crick Institute, London, UK
| | - Ruth Harvey
- Worldwide Influenza Centre, The Francis Crick Institute London, London, UK
| | | | - Rupert Beale
- The Francis Crick Institute, London, UK
- Genotype-to-Phenotype UK National Virology Consortium (G2P-UK), London, UK
- UCL Department of Renal Medicine, Royal Free Hospital, London, UK
| | | | | | | | | | | | | | | | | | | | - Paul Moss
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK.
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Yamana TK, Galanti M, Pei S, Di Fusco M, Angulo FJ, Moran MM, Khan F, Swerdlow DL, Shaman J. The impact of COVID-19 vaccination in the US: Averted burden of SARS-COV-2-related cases, hospitalizations and deaths. PLoS One 2023; 18:e0275699. [PMID: 37098043 PMCID: PMC10129007 DOI: 10.1371/journal.pone.0275699] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 04/11/2023] [Indexed: 04/26/2023] Open
Abstract
By August 1, 2022, the SARS-CoV-2 virus had caused over 90 million cases of COVID-19 and one million deaths in the United States. Since December 2020, SARS-CoV-2 vaccines have been a key component of US pandemic response; however, the impacts of vaccination are not easily quantified. Here, we use a dynamic county-scale metapopulation model to estimate the number of cases, hospitalizations, and deaths averted due to vaccination during the first six months of vaccine availability. We estimate that COVID-19 vaccination was associated with over 8 million fewer confirmed cases, over 120 thousand fewer deaths, and 700 thousand fewer hospitalizations during the first six months of the campaign.
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Affiliation(s)
- Teresa K Yamana
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States of America
| | - Marta Galanti
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States of America
| | - Sen Pei
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States of America
| | - Manuela Di Fusco
- Health Economics and Outcomes Research, New York, NY, United States of America
| | - Frederick J Angulo
- Medical Development and Scientific/Clinical Affairs, Pfizer Vaccines, Collegeville, PA, United States of America
| | - Mary M Moran
- Medical Development and Scientific/Clinical Affairs, Pfizer Vaccines, Collegeville, PA, United States of America
| | - Farid Khan
- Medical Development and Scientific/Clinical Affairs, Pfizer Vaccines, Collegeville, PA, United States of America
| | - David L Swerdlow
- Medical Development and Scientific/Clinical Affairs, Pfizer Vaccines, Collegeville, PA, United States of America
| | - Jeffrey Shaman
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States of America
- Columbia Climate School, Columbia University, New York, NY, United States of America
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Serological Responses up to 9 Months following COVID-19 mRNA Vaccination in Residents and Health-Care Workers of Long-Term Care Facilities: A Multicenter Prospective Cohort Study in Northern Italy. Vaccines (Basel) 2022; 10:vaccines10122183. [PMID: 36560593 PMCID: PMC9784767 DOI: 10.3390/vaccines10122183] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 12/12/2022] [Accepted: 12/14/2022] [Indexed: 12/23/2022] Open
Abstract
Long-term care facilities (LTCFs) were severely affected by COVID-19, in particular in Northern Italy. We aimed to assess antibody responses among residents and healthcare workers (HCWs) of 13 LTCFs through serum samples collected at three time points: prior to, two weeks, and 9 months after receiving Pfizer/BNT162b2 SARS-CoV-2 mRNA vaccine (respectively t0, t1, and t2). IgG antibodies targeted towards the S1 domain of the spike protein were measured, and results were expressed in binding antibody units (BAU/mL). Friedman's average rank test was performed to compare antibody titres between the three time points. Two logistic regression models were built to identify independent predictors of (1) developing and (2) maintaining a significant antibody response to vaccination, using a previously identified threshold. In total, 534 subjects were enrolled (371 HCWs and 163 residents). The antibody titres at t1 were the highest; at t2, the IgG titres significantly decreased, remaining however 10 times higher compared to titres at t0. Previous infection was the only significant predictor of developing and maintaining a response over threshold in both models. Results of this study provided further insights on the humoral response elicited by vaccination, and on host factors determining variations in its magnitude and kinetics.
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Song Q, Qian G, Mi Y, Zhu J, Cao C. Synergistic influence of air temperature and vaccination on COVID-19 transmission and mortality in 146 countries or regions. ENVIRONMENTAL RESEARCH 2022; 215:114229. [PMID: 36049515 PMCID: PMC9423881 DOI: 10.1016/j.envres.2022.114229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 08/23/2022] [Accepted: 08/26/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVE We aimed to determine the influence of vaccination and air temperature on COVID-19 transmission and severity. METHODS The study data in 146 countries from January 6, 2020 to July 28, 2022 were aggregated into 19,856 weeks. Country-level weekly incidence, time-varying reproduction number (Rt), mortality, and infection-fatality ratio (IFR) were compared among groups of these weeks with different vaccination rates and air temperatures. RESULTS Weeks with <15 °C air temperature and 60% vaccination showed the highest incidence (mean, 604; SD, 855; 95% CI, 553-656, unit, /100,000 persons; N = 1073) and the highest rate of weeks with >1 Rt (mean, 41.6%; SD, 1.49%; 95% CI, 39.2-45.2%; N = 1090), while weeks with >25 °C and <20% showed the lowest incidence (mean, 24; SD, 75; 95% CI, 22-26; N = 5805) and the lowest rate of weeks with >1 Rt (mean, 15.3%; SD, 0.461%; 95% CI, 14.2-16.2%; N = 6122). Mortality in weeks with <15 °C (mean, 2.1; SD, 2.8; 95% CI, 2.0-2.2, unit, /100,000 persons; N = 4365) was five times of the mortality in weeks with >25 °C (mean, 0.44; SD, 1; 95% CI, 0.41-0.46; N = 7741). IFR ranged between 2% and 2.6% (SD, 1.9%-2.4%; 95% CI, 2.0-2.7%) at < 20% vaccination level, 1.8% (SD, 2%-2.2%; 95% CI, 1.7-2.0%) at 20-60% vaccination level, and 0.7%-1% (SD, 1%-1.8%; 95% CI, 0.7-1.1%) at > 60% vaccination level and at all air temperatures (all P < 0.001). CONCLUSIONS Vaccination was insufficient to mitigate the transmission since the significantly elevated weekly incidence and >1 Rt rate in weeks with high vaccination, while IFR was reduced by high vaccination. Countries with long-term low air temperature were affected by high transmission and high mortality.
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Affiliation(s)
- Qifa Song
- Medical Data Center, Ningbo City First Hospital, Ningbo, Zhejiang Province, China.
| | - Guoqing Qian
- Department of General Internal Medicine, Ningbo City First Hospital, Ningbo, Zhejiang Province, China
| | - Yuwei Mi
- Medical Data Center, Ningbo City First Hospital, Ningbo, Zhejiang Province, China
| | - Jianhua Zhu
- Department of Critical Care Medicine, Ningbo City First Hospital, Ningbo, Zhejiang Province, China.
| | - Chao Cao
- Department of Respiratory and Critical Medicine, Ningbo City First Hospital, Ningbo, Zhejiang Province, China.
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Ward V, Wei J, Gordon W, Barnes E, Dunachie S, Jeffery K, Eyre D, O'Donnell AM. SARS-CoV-2 antibody responses post-vaccination in UK healthcare workers with pre-existing medical conditions: a cohort study. BMJ Open 2022; 12:e066766. [PMID: 36456004 PMCID: PMC9716410 DOI: 10.1136/bmjopen-2022-066766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 11/01/2022] [Indexed: 12/03/2022] Open
Abstract
OBJECTIVES To examine antibody responses after the second vaccination in healthcare workers (HCWs) with underlying health conditions. DESIGN Cohort study. SETTING Oxford University Hospitals in the United Kingdom. PARTICIPANTS Healthcare workers who had SARS-CoV-2 serological data available and received two SARS-CoV- 2 vaccinations. PRIMARY OUTCOME Peak SARS-CoV-2 anti-spike IgG responses after the second vaccination and associations with underlying health conditions and the estimated risk of severe COVID-19 using an occupational health risk assessment tool. METHODS We used univariable and multivariable linear regression models to investigate associations between antibody levels and demographics (age, sex, ethnicity), healthcare role, body mass index, underlying health conditions, vaccination status, prior infection and the Association of Local Authority Medical Advisors COVID-age risk score. RESULTS 1635 HCWs had anti-spike IgG measurements 14-84 days after second vaccination and data on any underlying health conditions. Only five HCWs (0.3%), all on immunosuppressive treatment, (including four organ transplant recipients), did not seroconvert after second vaccination. Antibody levels were independently lower with older age, diabetes, immunosuppression, respiratory disorders other than asthma and markedly so in organ transplant recipients. Levels were independently lower in ChAdOx1 versus BNT162b2 recipients and higher following previous infection. HCWs with 'very high' COVID-age risk scores had lower median antibody levels than those with 'low', 'medium' or 'high' risk scores; 4379 AU/mL, compared with 12 337 AU/mL, 9430 AU/mL and 10 524 AU/mL, respectively. CONCLUSIONS Two vaccine doses are effective in generating antibody responses among HCWs, including those with a high occupational risk. However, HCWs with underlying health conditions, especially diabetes, immunosuppression and organ transplant, had lower antibody levels, and vaccine response monitoring may be needed.
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Affiliation(s)
- Victoria Ward
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Department of Medical Microbiology and Infectious Diseases, Oxford University Hospitals, Oxford, UK
| | - Jia Wei
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Big Data Institute, University of Oxford, Oxford, UK
| | - William Gordon
- Department of Medical Microbiology and Infectious Diseases, Oxford University Hospitals, Oxford, UK
| | - Eleanor Barnes
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Department of Medical Microbiology and Infectious Diseases, Oxford University Hospitals, Oxford, UK
| | - Susie Dunachie
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Department of Medical Microbiology and Infectious Diseases, Oxford University Hospitals, Oxford, UK
| | - Katie Jeffery
- Department of Medical Microbiology and Infectious Diseases, Oxford University Hospitals, Oxford, UK
- Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - David Eyre
- Department of Medical Microbiology and Infectious Diseases, Oxford University Hospitals, Oxford, UK
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Anne-Marie O'Donnell
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Occupational Health Department, Oxford Health NHS Foundation Trust, Oxford, UK
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Momenyan S, Torabi M. Modeling the spatio‑temporal spread of COVID‑19 cases, recoveries and deaths and effects of partial and full vaccination coverage in Canada. Sci Rep 2022; 12:17817. [PMID: 36280746 PMCID: PMC9589715 DOI: 10.1038/s41598-022-21369-z] [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: 02/08/2022] [Accepted: 09/27/2022] [Indexed: 01/19/2023] Open
Abstract
The purposes of our study are to map high-risk areas in Canada as well as quantifying the effects of vaccination intervention and socio-demographic factors on the transmission rates of infection, recovery, and death related to COVID-19. The data of this research included weekly number of COVID‑19 cases, recovered, and dead individuals from 2020 through 2021 in Canada at health region and provincial levels. These data were associated with cumulative rates of partial and full vaccination and socio-demographic factors. We applied the spatio-temporal Susceptible-Exposed-Infected-Removed (SEIR), and Susceptible-Exposed-Infected-Removed-Vaccinated (SEIRV) models. The results indicated the partial vaccination rate has a greater effect compared with full vaccination rate on decreasing the rate of infectious cases (risk ratio (RR) = 0.18; 95%CrI: 0.16-0.2; RR = 0.60; 95%CrI: 0.55-0.65, respectively) and increasing the rate of recovered cases (RR = 1.39; 95%CrI: 1.28-1.51; RR = 1.21; 95%CrI: 1.23-1.29, respectively). However, for mortality risk reduction, only increasing full vaccination rate was significantly associated (RR = 0.09; 95%CrI: 0.05-0.14). In addition, our results showed that regions with higher rates of elderly and aboriginal individuals, higher population density, and lower socioeconomic status (SES) contribute more to the risk of infection transmission. Rates of elderly and aboriginal individuals and SES of regions were significantly associated with recovery rate. However, elderly individuals rate of regions was only a significant predictor of mortality risk. Based on the results, protection against mild and severe COVID-19 infection after the primary vaccination series decreased.
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Affiliation(s)
- Somayeh Momenyan
- grid.21613.370000 0004 1936 9609Department of Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0W3 Canada
| | - Mahmoud Torabi
- grid.21613.370000 0004 1936 9609Department of Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0W3 Canada ,grid.21613.370000 0004 1936 9609Department of Statistics, Faculty of Science, University of Manitoba, Winnipeg, Canada
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Full seroconversion in initial non-responders with higher antibody levels after heterologous COVID-19 vaccination schedule. Immunol Lett 2022; 250:1-6. [PMID: 36108774 PMCID: PMC9468054 DOI: 10.1016/j.imlet.2022.09.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 08/23/2022] [Accepted: 09/11/2022] [Indexed: 11/21/2022]
Abstract
Antibody testing after COVID-19 vaccination is generally not recommended. Here, we present the results of a retrospective study, in which we analyzed antibody levels before and after the first dose of the ChAdOx1 vector vaccine. We identified 5% non-responders (43.6 ± 10.6 years; females: 41%) and 3.4% low-responders (44.2 ± 10.1 years; females: 64%) after the first dose. Of these, 61 individuals received a timely second dose either with a homologous (ChAdOx1/ChAdOx1) or heterologous (ChAdOx1/mRNA-1273) schedule. All vaccinees achieved positive S1-specific IgG titers to the ancestral SARS-CoV-2 strain after the second dose, but antibody levels as well as neutralization titers against the ancestral SARS-CoV-2 strain were higher after the heterologous schedule. However, Omicron-specific neutralizing antibodies were not detectable after two doses in either group, indicating that a third vaccine dose is needed to enhance cross-reactive antibodies against currently circulating and emerging variants of concern.
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Toubasi AA, Al‐Sayegh TN, Obaid YY, Al‐Harasis SM, AlRyalat SAS. Efficacy and safety of COVID-19 vaccines: A network meta-analysis. J Evid Based Med 2022; 15:245-262. [PMID: 36000160 PMCID: PMC9538745 DOI: 10.1111/jebm.12492] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 07/27/2022] [Indexed: 01/11/2023]
Abstract
OBJECTIVE Several vaccines showed a good safety profile and significant efficacy against COVID-19. Moreover, in the absence of direct head to head comparison between COVID-19 vaccines, a network meta-analysis that indirectly compares between them is needed. METHODS Databases PubMed, CENTRAL, medRxiv, and clinicaltrials.gov were searched. Studies were included if they were placebo-controlled clinical trials and reported the safety profile and/or effectiveness of COVID-19 vaccines. The quality of the included studies was assessed using the Revised Cochrane risk-of-bias tool for randomized trials and the Revised Cochrane risk-of-bias tool for nonrandomized trials. RESULTS Forty-nine clinical trials that included 421,173 participants and assessed 28 vaccines were included in this network meta-analysis. The network meta-analysis showed that Pfizer is the most effective in preventing COVID-19 infection whereas the Sputnik Vaccine was the most effective in preventing severe COVID-19 infection. In terms of the local and systemic side, the Sinopharm and V-01 vaccines were the safest. CONCLUSION We found that almost all of the vaccines included in this study crossed the threshold of 50% efficacy. However, some of them did not reach the previously mentioned threshold against the B.1.351 variant while the remainder have not yet investigated vaccine efficacy against this variant. Since each vaccine has its own strong and weak points, we strongly advocate continued vaccination efforts in individualized manner that recommend the best vaccine for each group in the community which is abundantly required to save lives and to avert the emergence of future variants.
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Dyer AH, Fallon A, Noonan C, Dolphin H, O'Farrelly C, Bourke NM, O'Neill D, Kennelly SP. Managing the Impact of COVID-19 in Nursing Homes and Long-Term Care Facilities: An Update. J Am Med Dir Assoc 2022; 23:1590-1602. [PMID: 35922016 PMCID: PMC9250924 DOI: 10.1016/j.jamda.2022.06.028] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 06/26/2022] [Accepted: 06/29/2022] [Indexed: 11/26/2022]
Abstract
Older adults in nursing homes are at greatest risk of morbidity and mortality from SARS-CoV-2 infection. Nursing home residents constituted one-third to more than half of all deaths during the early waves of the COVID-19 pandemic. Following this, widespread adaptation of infection prevention and control measures and the supply and use of personal protective equipment resulted in a significant decrease in nursing home infections and deaths. For nursing homes, the most important determinant of experiencing a SARS-CoV-2 outbreak in the first instance appears to be community-transmission levels (particularly with variants of concern), although nursing home size and quality, for-profit status, and sociodemographic characteristics are also important. Use of visitation bans, imposed to reduce the impact of COVID-19 on residents, must be delicately balanced against their impact on resident, friend or family, and staff well-being. The successful rollout of primary vaccination has resulted in a sharp decrease in morbidity and mortality from SARS-CoV-2 in nursing homes. However, emerging evidence suggests that vaccine efficacy may wane over time, and the use of a third or additional vaccine "booster" doses in nursing home residents restores protection afforded by primary vaccination. Ongoing monitoring of vaccine efficacy in terms of infection, morbidity, and mortality is crucial in this vulnerable group in informing ongoing SARS-CoV-2 vaccine boosting strategies. Here, we detail the impact of SARS-CoV-2 on nursing home residents and discuss important considerations in the management of nursing home SARS-CoV-2 outbreaks. We additionally examine the use of testing strategies, nonpharmacologic outbreak control measures and vaccination strategies in this cohort. Finally, the impact of SARS-CoV-2 on the sector is reflected on as we emphasize the need for adoption of universal standards of medical care and integration with wider public health infrastructure in nursing homes in order to provide a safe and effective long-term care sector.
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Affiliation(s)
- Adam H Dyer
- Department of Age-Related Healthcare, Tallaght University Hospital, Dublin, Ireland; Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland.
| | - Aoife Fallon
- Department of Age-Related Healthcare, Tallaght University Hospital, Dublin, Ireland; Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Claire Noonan
- Department of Age-Related Healthcare, Tallaght University Hospital, Dublin, Ireland
| | - Helena Dolphin
- Department of Age-Related Healthcare, Tallaght University Hospital, Dublin, Ireland
| | - Cliona O'Farrelly
- Comparative Immunology, School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Dublin, Ireland; School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Nollaig M Bourke
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland; Inflammageing Research Group, Trinity Translational Medicine Institute, Dublin, Ireland
| | - Desmond O'Neill
- Department of Age-Related Healthcare, Tallaght University Hospital, Dublin, Ireland; Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Sean P Kennelly
- Department of Age-Related Healthcare, Tallaght University Hospital, Dublin, Ireland; Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland
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Obach D, Solastie A, Liedes O, Vara S, Krzyżewska‐Dudek E, Brinkmann L, Haveri A, Hammer CC, Dub T, Meri S, Freitag TL, Lyytikäinen O, Melin M. Impaired immunity and high attack rates caused by SARS-CoV-2 variants among vaccinated long-term care facility residents. Immun Inflamm Dis 2022; 10:e679. [PMID: 36039644 PMCID: PMC9382858 DOI: 10.1002/iid3.679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 07/04/2022] [Accepted: 07/07/2022] [Indexed: 11/21/2022] Open
Abstract
INTRODUCTION Long-term care facilities (LTCF) residents are at high risk for severe coronavirus disease 2019 (COVID-19), and therefore, COVID-19 vaccinations were prioritized for residents and personnel in Finland at the beginning of 2021. METHODS We investigated COVID-19 outbreaks in two LTCFs, where residents were once or twice vaccinated. After the outbreaks we measured immunoglobulin G (IgG) antibodies to severe acute respiratory syndrome coronavirus 2 spike glycoprotein, neutralizing antibody (NAb) titers, and cell-mediated immunity markers from residents and healthcare workers (HCWs). RESULTS In LTFC-1, the outbreak was caused by an Alpha variant (B.1.1.7) and the attack rate (AR) among once vaccinated residents was 23%. In LTCF-2 the outbreak was caused by a Beta variant (B.1.351). Its AR was 47% although all residents had received their second dose 1 month before the outbreak. We observed that vaccination had induced lower IgG concentrations, NAb titers and cell-mediated immune responses in residents compared to HCWs. Only 1/8 residents had NAb to the Beta variant after two vaccine doses. CONCLUSIONS The vaccinated elderly remain susceptible to breakthrough infections caused by Alpha and Beta variants. The weaker vaccine response in the elderly needs to be addressed in vaccination protocols, while new variants capable of evading vaccine-induced immunity continue to emerge.
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Affiliation(s)
- Dorothée Obach
- Department of Health Security, Infectious Disease Control and Vaccinations UnitFinnish Institute for Health and WelfareHelsinkiFinland
- European Program for Intervention Epidemiology Training (EPIET)European Centre for Disease Prevention and Control, (ECDC)StockholmSweden
| | - Anna Solastie
- Department of Health Security, Expert Microbiology UnitFinnish Institute for Health and WelfareHelsinkiFinland
| | - Oona Liedes
- Department of Health Security, Expert Microbiology UnitFinnish Institute for Health and WelfareHelsinkiFinland
| | - Saimi Vara
- Department of Health Security, Expert Microbiology UnitFinnish Institute for Health and WelfareHelsinkiFinland
| | - Eva Krzyżewska‐Dudek
- Department of Bacteriology and Immunology, Translational Immunology Research ProgramUniversity of HelsinkiFinland
- Hirszfeld Institute of Immunology and Experimental Therapy, Department of Immunology of Infectious DiseasesPolish Academy of SciencesWroclawPoland
| | - Luise Brinkmann
- Department of Bacteriology and Immunology, Translational Immunology Research ProgramUniversity of HelsinkiFinland
| | - Anu Haveri
- Department of Health Security, Expert Microbiology UnitFinnish Institute for Health and WelfareHelsinkiFinland
| | - Charlotte C. Hammer
- Department of Health Security, Infectious Disease Control and Vaccinations UnitFinnish Institute for Health and WelfareHelsinkiFinland
- European Program for Intervention Epidemiology Training (EPIET)European Centre for Disease Prevention and Control, (ECDC)StockholmSweden
| | - Timothée Dub
- Department of Health Security, Infectious Disease Control and Vaccinations UnitFinnish Institute for Health and WelfareHelsinkiFinland
| | - Seppo Meri
- Department of Bacteriology and Immunology, Translational Immunology Research ProgramUniversity of HelsinkiFinland
| | - Tobias L. Freitag
- Department of Bacteriology and Immunology, Translational Immunology Research ProgramUniversity of HelsinkiFinland
| | - Outi Lyytikäinen
- Department of Health Security, Infectious Disease Control and Vaccinations UnitFinnish Institute for Health and WelfareHelsinkiFinland
| | - Merit Melin
- Department of Health Security, Expert Microbiology UnitFinnish Institute for Health and WelfareHelsinkiFinland
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45
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Radcliffe NJ, Lau L, Hack E, Huynh A, Puri A, Yao H, Wong A, Kohler S, Chua M, Amadoru S, Haywood C, Yates P. Site of care and factors associated with mortality in unvaccinated Australian aged care residents during COVID-19 outbreaks. Intern Med J 2022; 53:690-699. [PMID: 36008359 PMCID: PMC9539151 DOI: 10.1111/imj.15914] [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: 02/13/2022] [Accepted: 08/18/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Residential InReach presents an alternative to hospital admission for aged care residents swabbed for COVID-19, though relative outcomes remain unknown. AIMS To compare rates and predictors of 28-day mortality for aged care residents seen by InReach with COVID-19, or 'suspected COVID-19' ('sCOVID'), including hospital vs InReach-based care. METHODS Prospective observational study of consecutive patients referred to a Victorian InReach service meeting COVID-19 testing criteria between April-October 2020 (pre-vaccine availability). COVID-19 was determined by positive polymerase chain reaction testing on nasopharyngeal swab. sCOVID-19 was defined as meeting symptomatic Victorian Government testing criteria but persistently swab negative. RESULTS There were no significant differences in age, gender, Clinical Frailty Score (CFS) or Charlson Comorbidity Index (CCI) between 152 patients with COVID-19 and 118 patients with sCOVID. 28-day mortality was similar between patients with COVID-19 (35/152, 23%) and sCOVID (32/118, 27%) (p=0.4). For the combined cohort, 28-day mortality was associated with initial oxygen saturation (p<0.001), delirium (p<0.001), hospital transfer for acuity (p=0.02; but not public health/facility reasons), CFS (p=0.04), prior ischaemic heart disease (p=0.01) and dementia (p=0.02). For COVID-19 patients, 28-day mortality was associated with initial oxygen saturation (p=0.02), delirium (p<0.001), and hospital transfer for acuity (p=0.01), but not public health/facility reasons. CONCLUSION Unvaccinated aged care residents meeting COVID-19 testing criteria seen by InReach during a pandemic experience high mortality rates, including with negative swab result. Residents remaining within-facility (with InReach) experienced similar adjusted mortality odds to residents transferred to hospital for public health/facility-based reasons, and lower than those transferred for clinical acuity. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Nicholas J Radcliffe
- Medical Practitioner, Department of Geriatric Medicine, Austin Health, Melbourne, Victoria, Australia
| | - Liza Lau
- Medical Practitioner, Department of Geriatric Medicine, Austin Health, Melbourne, Victoria, Australia
| | - Emma Hack
- Medical Practitioner, Department of Geriatric Medicine, Austin Health, Melbourne, Victoria, Australia
| | - Andrew Huynh
- Medical Practitioner, Department of Geriatric Medicine, Austin Health, Melbourne, Victoria, Australia.,Florey Neuroscience Institute, Melbourne, Victoria, Australia
| | - Arvind Puri
- Medical Practitioner, Department of Geriatric Medicine, Austin Health, Melbourne, Victoria, Australia
| | - Henry Yao
- Medical Practitioner, Department of Geriatric Medicine, Austin Health, Melbourne, Victoria, Australia
| | - Aaron Wong
- Medical Practitioner, Department of Geriatric Medicine, Austin Health, Melbourne, Victoria, Australia.,Melbourne Health, Parkville, Melbourne, Australia
| | - Sabrina Kohler
- Medical Practitioner, Department of Geriatric Medicine, Austin Health, Melbourne, Victoria, Australia
| | - Maggie Chua
- Medical Practitioner, Department of Geriatric Medicine, Austin Health, Melbourne, Victoria, Australia.,Department of Aged Care, Northern Health, Melbourne, Victoria, Australia
| | - Sanka Amadoru
- Medical Practitioner, Department of Geriatric Medicine, Austin Health, Melbourne, Victoria, Australia
| | - Cilla Haywood
- Medical Practitioner, Department of Geriatric Medicine, Austin Health, Melbourne, Victoria, Australia.,University of Melbourne, Department of Medicine, Austin Health, Melbourne, Victoria, Australia.,Department of Aged Care, Northern Health, Melbourne, Victoria, Australia
| | - Paul Yates
- Medical Practitioner, Department of Geriatric Medicine, Austin Health, Melbourne, Victoria, Australia.,University of Melbourne, Department of Medicine, Austin Health, Melbourne, Victoria, Australia.,Florey Neuroscience Institute, Melbourne, Victoria, Australia
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46
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Williams LR, Ferguson NM, Donnelly CA, Grassly NC. Measuring Vaccine Efficacy Against Infection and Disease in Clinical Trials: Sources and Magnitude of Bias in Coronavirus Disease 2019 (COVID-19) Vaccine Efficacy Estimates. Clin Infect Dis 2022; 75:e764-e773. [PMID: 34698827 PMCID: PMC8586723 DOI: 10.1093/cid/ciab914] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Phase III trials have estimated coronavirus disease 2019 (COVID-19) vaccine efficacy (VE) against symptomatic and asymptomatic infection. We explore the direction and magnitude of potential biases in these estimates and their implications for vaccine protection against infection and against disease in breakthrough infections. METHODS We developed a mathematical model that accounts for natural and vaccine-induced immunity, changes in serostatus, and imperfect sensitivity and specificity of tests for infection and antibodies. We estimated expected biases in VE against symptomatic, asymptomatic, and any severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and against disease following infection for a range of vaccine characteristics and measurement approaches, and the likely overall biases for published trial results that included asymptomatic infections. RESULTS VE against asymptomatic infection measured by polymerase chain reaction (PCR) or serology is expected to be low or negative for vaccines that prevent disease but not infection. VE against any infection is overestimated when asymptomatic infections are less likely to be detected than symptomatic infections and the vaccine protects against symptom development. A competing bias toward underestimation arises for estimates based on tests with imperfect specificity, especially when testing is performed frequently. Our model indicates considerable uncertainty in Oxford-AstraZeneca ChAdOx1 and Janssen Ad26.COV2.S VE against any infection, with slightly higher than published, bias-adjusted values of 59.0% (95% uncertainty interval [UI] 38.4-77.1) and 70.9% (95% UI 49.8-80.7), respectively. CONCLUSIONS Multiple biases are likely to influence COVID-19 VE estimates, potentially explaining the observed difference between ChAdOx1 and Ad26.COV2.S vaccines. These biases should be considered when interpreting both efficacy and effectiveness study results.
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Affiliation(s)
- Lucy R Williams
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom
| | - Neil M Ferguson
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom
| | - Christl A Donnelly
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom
- Department of Statistics, University of Oxford, Oxfordshire, United Kingdom
| | - Nicholas C Grassly
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom
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47
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High viral loads: what drives fatal cases of COVID-19 in vaccinees? - an autopsy study. Mod Pathol 2022; 35:1013-1021. [PMID: 35365771 PMCID: PMC8974809 DOI: 10.1038/s41379-022-01069-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 03/03/2022] [Accepted: 03/03/2022] [Indexed: 01/07/2023]
Abstract
The rate of SARS-CoV-2 infections in vaccinees has become a relevant serious issue. This study aimed to determine the causes of death, histological organ alteration, and viral spread in relation to demographic, clinical-pathological, viral variants, and vaccine types for deceased individuals with proven SARS-CoV-2 infection after vaccination who died between January and November 2021. Twenty-nine consecutively collected cases were analyzed and compared to 141 nonvaccinated control cases. Autopsies were performed on 16 partially and 13 fully vaccinated individuals. Most patients were elderly and suffered from several relevant comorbidities. Real-time RT-PCR (RT-qPCR) identified a significantly increased rate of generalized viral dissemination within organ systems in vaccinated cases versus nonvaccinated cases (45% vs. 16%, respectively; P = 0.008) mainly with Ct-values of higher than 25 in non-respiratory samples. However, vaccinated cases also showed high viral loads, reaching Ct-values below 10, especially in the upper airways and lungs. This was accompanied by high rates of pulmonal bacterial or mycotic superinfections and the occurrence of immunocompromising factors, such as malignancies, immunosuppressive drug intake, or decreased immunoglobulin levels. All these findings were particularly accentuated in partially vaccinated patients compared to fully vaccinated individuals. The virus dissemination observed in our case study may indicate that patients with an impaired immune system have a decreased ability to eliminate the virus. However, the potential role of antibody-dependent enhancement must also be ruled out in future studies. Fatal cases of COVID-19 in vaccinees were rare and often associated with severe comorbidities or other immunosuppressive conditions.
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48
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Hulme WJ, Williamson EJ, Green ACA, Bhaskaran K, McDonald HI, Rentsch CT, Schultze A, Tazare J, Curtis HJ, Walker AJ, Tomlinson LA, Palmer T, Horne EMF, MacKenna B, Morton CE, Mehrkar A, Morley J, Fisher L, Bacon SCJ, Evans D, Inglesby P, Hickman G, Davy S, Ward T, Croker R, Eggo RM, Wong AYS, Mathur R, Wing K, Forbes H, Grint DJ, Douglas IJ, Evans SJW, Smeeth L, Bates C, Cockburn J, Parry J, Hester F, Harper S, Sterne JAC, Hernán MA, Goldacre B. Comparative effectiveness of ChAdOx1 versus BNT162b2 covid-19 vaccines in health and social care workers in England: cohort study using OpenSAFELY. BMJ 2022; 378:e068946. [PMID: 35858680 PMCID: PMC9295078 DOI: 10.1136/bmj-2021-068946] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/11/2022] [Indexed: 12/17/2022]
Abstract
OBJECTIVE To compare the effectiveness of the BNT162b2 mRNA (Pfizer-BioNTech) and the ChAdOx1 (Oxford-AstraZeneca) covid-19 vaccines against infection and covid-19 disease in health and social care workers. DESIGN Cohort study, emulating a comparative effectiveness trial, on behalf of NHS England. SETTING Linked primary care, hospital, and covid-19 surveillance records available within the OpenSAFELY-TPP research platform, covering a period when the SARS-CoV-2 Alpha variant was dominant. PARTICIPANTS 317 341 health and social care workers vaccinated between 4 January and 28 February 2021, registered with a general practice using the TPP SystmOne clinical information system in England, and not clinically extremely vulnerable. INTERVENTIONS Vaccination with either BNT162b2 or ChAdOx1 administered as part of the national covid-19 vaccine roll-out. MAIN OUTCOME MEASURES Recorded SARS-CoV-2 positive test, or covid-19 related attendance at an accident and emergency (A&E) department or hospital admission occurring within 20 weeks of receipt of the first vaccine dose. RESULTS Over the duration of 118 771 person-years of follow-up there were 6962 positive SARS-CoV-2 tests, 282 covid-19 related A&E attendances, and 166 covid-19 related hospital admissions. The cumulative incidence of each outcome was similar for both vaccines during the first 20 weeks after vaccination. The cumulative incidence of recorded SARS-CoV-2 infection 20 weeks after first-dose vaccination with BNT162b2 was 21.7 per 1000 people (95% confidence interval 20.9 to 22.4) and with ChAdOx1 was 23.7 (21.8 to 25.6), representing a difference of 2.04 per 1000 people (0.04 to 4.04). The difference in the cumulative incidence per 1000 people of covid-19 related A&E attendance at 20 weeks was 0.06 per 1000 people (95% CI -0.31 to 0.43). For covid-19 related hospital admission, this difference was 0.11 per 1000 people (-0.22 to 0.44). CONCLUSIONS In this cohort of healthcare workers where we would not anticipate vaccine type to be related to health status, we found no substantial differences in the incidence of SARS-CoV-2 infection or covid-19 disease up to 20 weeks after vaccination. Incidence dropped sharply at 3-4 weeks after vaccination, and there were few covid-19 related hospital attendance and admission events after this period. This is in line with expected onset of vaccine induced immunity and suggests strong protection against Alpha variant covid-19 disease for both vaccines in this relatively young and healthy population of healthcare workers.
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Affiliation(s)
- William J Hulme
- The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | | | - Amelia C A Green
- The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | | | - Helen I McDonald
- London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | | | - Anna Schultze
- London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - John Tazare
- London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - Helen J Curtis
- The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - Alex J Walker
- The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | | | - Tom Palmer
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, University of Bristol, Bristol BS8 2BN, UK
| | - Elsie M F Horne
- Population Health Sciences, University of Bristol, Bristol BS8 2BN, UK
- NIHR Bristol, Biomedical Research Centre, Bristol BS8 2BN, UK
| | - Brian MacKenna
- The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - Caroline E Morton
- The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - Amir Mehrkar
- The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - Jessica Morley
- The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - Louis Fisher
- The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - Sebastian C J Bacon
- The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - David Evans
- The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - Peter Inglesby
- The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - George Hickman
- The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - Simon Davy
- The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - Tom Ward
- The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - Richard Croker
- The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
| | - Rosalind M Eggo
- London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - Angel Y S Wong
- London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - Rohini Mathur
- London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - Kevin Wing
- London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - Harriet Forbes
- London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - Daniel J Grint
- London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - Ian J Douglas
- London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | | | - Liam Smeeth
- London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - Chris Bates
- TPP, TPP House, Horsforth, Leeds LS18 5PX, UK
| | | | - John Parry
- TPP, TPP House, Horsforth, Leeds LS18 5PX, UK
| | | | - Sam Harper
- TPP, TPP House, Horsforth, Leeds LS18 5PX, UK
| | - Jonathan A C Sterne
- Population Health Sciences, University of Bristol, Bristol BS8 2BN, UK
- NIHR Bristol, Biomedical Research Centre, Bristol BS8 2BN, UK
- Health Data Research UK South West
| | - Miguel A Hernán
- CAUSALab, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Departments of Epidemiology and Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Ben Goldacre
- The Bennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK
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49
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Hatfield KM, Baggs J, Wolford H, Fang M, Sattar AA, Montgomery KS, Jin S, Jernigan J, Pilishvili T. Effectiveness of Coronavirus Disease 2019 (COVID-19) Vaccination Against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection Among Residents of US Nursing Homes Before and During the Delta Variant Predominance, December 2020-November 2021. Clin Infect Dis 2022; 75:S147-S154. [PMID: 35856635 PMCID: PMC9384512 DOI: 10.1093/cid/ciac562] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Residents of nursing homes experience disproportionate morbidity and mortality related to coronavirus disease 2019 (COVID-19) and were prioritized for vaccine introduction. We evaluated COVID-19 vaccine effectiveness (VE) in preventing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections among nursing home residents. METHODS We used a retrospective cohort of 4315 nursing home residents during 14 December 2020-9 November 2021. A Cox proportional hazards model was used to estimate hazard ratios comparing residents with a completed vaccination series with unvaccinated among those with and without prior SARS-CoV-2 infection, by vaccine product, and by time period. RESULTS Overall adjusted VE was 58% (95% confidence interval [CI], 44% to 69%) among residents without a history of SARS-CoV-2 infection. During the pre-Delta period, the VE within 150 days of receipt of the second dose of Pfizer-BioNTech (67%; 95% CI, 40% to 82%) and Moderna (75%; 95% CI, 32% to 91%) was similar. During the Delta period, VE measured >150 days after the second dose was 33% (95% CI, -2% to 56%) for Pfizer-BioNTech and 77% (95% CI, 48% to 91%) for Moderna. Rates of infection were 78% lower (95% CI, 67% to 85%) among residents with prior SARS-CoV-2 infection and completed vaccination series compared with unvaccinated residents without a history of SARS-CoV-2 infection. CONCLUSIONS COVID-19 vaccines were effective in preventing SARS-CoV-2 infections among nursing home residents, and history of prior SARS-CoV-2 infection provided additional protection. Maintaining high coverage of recommended doses of COVID-19 vaccines remains a critical tool for preventing infections in nursing homes.
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Affiliation(s)
| | - James Baggs
- COVID-19 response team,Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases
| | - Hannah Wolford
- COVID-19 response team,Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases
| | | | | | | | | | - John Jernigan
- COVID-19 response team,Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases
| | - Tamara Pilishvili
- COVID-19 response team,Division of Viral Diseases, National Center for Immunizations and Respiratory Diseases, Centers for Disease Control and Prevention
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50
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Lamacchia G, Mazzoni A, Spinicci M, Vanni A, Salvati L, Peruzzi B, Bencini S, Capone M, Carnasciali A, Farahvachi P, Rocca A, Kiros ST, Graziani L, Zammarchi L, Mencarini J, Colao MG, Caporale R, Liotta F, Cosmi L, Rossolini GM, Bartoloni A, Maggi L, Annunziato F. Clinical and Immunological Features of SARS-CoV-2 Breakthrough Infections in Vaccinated Individuals Requiring Hospitalization. J Clin Immunol 2022; 42:1379-1391. [PMID: 35809212 PMCID: PMC9674730 DOI: 10.1007/s10875-022-01325-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 06/30/2022] [Indexed: 12/29/2022]
Abstract
Background and Purpose Waning immunity and the surge of SARS-CoV-2 variants are responsible for breakthrough infections, i.e., infections in fully vaccinated individuals. Although the majority of vaccinated infected subjects report mild or no symptoms, some others require hospitalization. The clinical and immunological features of vaccinated hospitalized COVID-19 patients are currently unknown. Methods Twenty-nine unvaccinated and 36 vaccinated hospitalized COVID-19 patients were prospectively enrolled and clinical and laboratory data were gathered. Immunophenotyping of leukocytes’ subsets, T and B cell SARS-CoV-2-specific responses were evaluated via flow cytometry. Anti-IFN-α autoantibodies were measured via ELISA. Results Despite vaccinated patients were older and with more comorbidities, unvaccinated subjects showed higher levels of pro-inflammatory markers, more severe disease, and increased mortality rate. Accordingly, they presented significant alterations in the circulating leukocyte composition, typical of severe COVID-19. Vaccinated patients displayed higher levels of anti-Spike IgGs and Spike-specific B cells. Of all participants, survivors showed higher levels of anti-Spike IgGs and Spike-specific CD4+ T cells than non-survivors. At hospital admission, 6 out of 65 patients (9.2%) displayed high serum concentrations of autoantibodies targeting IFN-α. Remarkably, 3 were unvaccinated and eventually died, while the other 3 were vaccinated and survived. Conclusion Despite more severe pre-existing clinical conditions, vaccinated patients have good outcome. A rapid activation of anti-SARS-CoV-2-specific immunity is fundamental for the resolution of the infection. Therefore, prior immunization through vaccination provides a significant contribution to prevention of disease worsening and can even overcome the presence of high-risk factors (i.e., older age, comorbidities, anti-IFN-α autoantibodies). Supplementary Information The online version contains supplementary material available at 10.1007/s10875-022-01325-2.
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Affiliation(s)
- Giulia Lamacchia
- Department of Experimental and Clinical Medicine, University of Florence, Viale Pieraccini, 6, 50134, Florence, Italy
| | - Alessio Mazzoni
- Department of Experimental and Clinical Medicine, University of Florence, Viale Pieraccini, 6, 50134, Florence, Italy
| | - Michele Spinicci
- Department of Experimental and Clinical Medicine, University of Florence, Viale Pieraccini, 6, 50134, Florence, Italy.,Infectious and Tropical Diseases Unit, Careggi University Hospital, Florence, Italy
| | - Anna Vanni
- Department of Experimental and Clinical Medicine, University of Florence, Viale Pieraccini, 6, 50134, Florence, Italy
| | - Lorenzo Salvati
- Department of Experimental and Clinical Medicine, University of Florence, Viale Pieraccini, 6, 50134, Florence, Italy
| | - Benedetta Peruzzi
- Flow Cytometry Diagnostic Center and Immunotherapy, Careggi University Hospital, Florence, Italy
| | - Sara Bencini
- Flow Cytometry Diagnostic Center and Immunotherapy, Careggi University Hospital, Florence, Italy
| | - Manuela Capone
- Department of Experimental and Clinical Medicine, University of Florence, Viale Pieraccini, 6, 50134, Florence, Italy
| | - Alberto Carnasciali
- Department of Experimental and Clinical Medicine, University of Florence, Viale Pieraccini, 6, 50134, Florence, Italy
| | - Parham Farahvachi
- Department of Experimental and Clinical Medicine, University of Florence, Viale Pieraccini, 6, 50134, Florence, Italy
| | - Arianna Rocca
- Department of Experimental and Clinical Medicine, University of Florence, Viale Pieraccini, 6, 50134, Florence, Italy
| | - Seble Tekle Kiros
- Department of Experimental and Clinical Medicine, University of Florence, Viale Pieraccini, 6, 50134, Florence, Italy
| | - Lucia Graziani
- Department of Experimental and Clinical Medicine, University of Florence, Viale Pieraccini, 6, 50134, Florence, Italy
| | - Lorenzo Zammarchi
- Department of Experimental and Clinical Medicine, University of Florence, Viale Pieraccini, 6, 50134, Florence, Italy.,Infectious and Tropical Diseases Unit, Careggi University Hospital, Florence, Italy
| | - Jessica Mencarini
- Infectious and Tropical Diseases Unit, Careggi University Hospital, Florence, Italy
| | - Maria Grazia Colao
- Microbiology and Virology Unit, Careggi University Hospital, Florence, Italy
| | - Roberto Caporale
- Flow Cytometry Diagnostic Center and Immunotherapy, Careggi University Hospital, Florence, Italy
| | - Francesco Liotta
- Department of Experimental and Clinical Medicine, University of Florence, Viale Pieraccini, 6, 50134, Florence, Italy.,Flow Cytometry Diagnostic Center and Immunotherapy, Careggi University Hospital, Florence, Italy.,Immunology and Cell Therapy Unit, Careggi University Hospital, Florence, Italy
| | - Lorenzo Cosmi
- Department of Experimental and Clinical Medicine, University of Florence, Viale Pieraccini, 6, 50134, Florence, Italy.,Immunology and Cell Therapy Unit, Careggi University Hospital, Florence, Italy
| | - Gian Maria Rossolini
- Department of Experimental and Clinical Medicine, University of Florence, Viale Pieraccini, 6, 50134, Florence, Italy.,Microbiology and Virology Unit, Careggi University Hospital, Florence, Italy
| | - Alessandro Bartoloni
- Department of Experimental and Clinical Medicine, University of Florence, Viale Pieraccini, 6, 50134, Florence, Italy.,Infectious and Tropical Diseases Unit, Careggi University Hospital, Florence, Italy
| | - Laura Maggi
- Department of Experimental and Clinical Medicine, University of Florence, Viale Pieraccini, 6, 50134, Florence, Italy.
| | - Francesco Annunziato
- Department of Experimental and Clinical Medicine, University of Florence, Viale Pieraccini, 6, 50134, Florence, Italy. .,Flow Cytometry Diagnostic Center and Immunotherapy, Careggi University Hospital, Florence, Italy.
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