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Offersgaard A, Duarte Hernandez CR, Zhou Y, Duan Z, Gammeltoft KA, Hartmann KT, Fahnøe U, Marichal-Gallardo P, Alzua GP, Underwood AP, Sølund C, Weis N, Bonde JH, Christensen JP, Pedersen GK, Jensen HE, Holmbeck K, Bukh J, Gottwein JM. An inactivated SARS-CoV-2 vaccine based on a Vero cell culture-adapted high-titer virus confers cross-protection in small animals. Sci Rep 2024; 14:17039. [PMID: 39048693 PMCID: PMC11269720 DOI: 10.1038/s41598-024-67570-0] [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: 04/16/2024] [Accepted: 07/12/2024] [Indexed: 07/27/2024] Open
Abstract
Rapidly waning immunity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) requires continued global access to affordable vaccines. Globally, inactivated SARS-CoV-2 vaccines have been widely used during the SARS-CoV-2 pandemic. In this proof-of-concept study we adapted an original-D614G SARS-CoV-2 virus to Vero cell culture as a strategy to enhance inactivated vaccine manufacturing productivity. A passage 60 (P60) virus showed enhanced fitness and 50-fold increased virus yield in a bioreactor compared to the original-D614G virus. It further remained susceptible to neutralization by plasma from SARS-CoV-2 vaccinated and convalescent individuals, suggesting exposure of relevant epitopes. Monovalent inactivated P60 and bivalent inactivated P60/omicron BA.1 vaccines induced neutralizing responses against original-D614G and BA.1 viruses in mice and hamsters, demonstrating that the P60 virus is a suitable vaccine antigen. Antibodies further cross-neutralized delta and BA.5 viruses. Importantly, the inactivated P60 vaccine protected hamsters against disease upon challenge with original-D614G or BA.1 virus, with minimal lung pathology and lower virus loads in the upper and lower airways. Antigenicity of the P60 virus was thus retained compared to the original virus despite the acquisition of cell culture adaptive mutations. Consequently, cell culture adaptation may be a useful approach to increase yields in inactivated vaccine antigen production.
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Affiliation(s)
- Anna Offersgaard
- Copenhagen Hepatitis C Program (CO-HEP), Department of Infectious Diseases, Copenhagen University Hospital-Hvidovre, Hvidovre, Denmark.
- Copenhagen Hepatitis C Program (CO-HEP), Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Carlos R Duarte Hernandez
- Copenhagen Hepatitis C Program (CO-HEP), Department of Infectious Diseases, Copenhagen University Hospital-Hvidovre, Hvidovre, Denmark
- Copenhagen Hepatitis C Program (CO-HEP), Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Yuyong Zhou
- Copenhagen Hepatitis C Program (CO-HEP), Department of Infectious Diseases, Copenhagen University Hospital-Hvidovre, Hvidovre, Denmark
- Copenhagen Hepatitis C Program (CO-HEP), Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Zhe Duan
- Copenhagen Hepatitis C Program (CO-HEP), Department of Infectious Diseases, Copenhagen University Hospital-Hvidovre, Hvidovre, Denmark
- Copenhagen Hepatitis C Program (CO-HEP), Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Karen Anbro Gammeltoft
- Copenhagen Hepatitis C Program (CO-HEP), Department of Infectious Diseases, Copenhagen University Hospital-Hvidovre, Hvidovre, Denmark
- Copenhagen Hepatitis C Program (CO-HEP), Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Katrine T Hartmann
- Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - Ulrik Fahnøe
- Copenhagen Hepatitis C Program (CO-HEP), Department of Infectious Diseases, Copenhagen University Hospital-Hvidovre, Hvidovre, Denmark
- Copenhagen Hepatitis C Program (CO-HEP), Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Pavel Marichal-Gallardo
- Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Garazi Peña Alzua
- Copenhagen Hepatitis C Program (CO-HEP), Department of Infectious Diseases, Copenhagen University Hospital-Hvidovre, Hvidovre, Denmark
- Copenhagen Hepatitis C Program (CO-HEP), Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Alexander P Underwood
- Copenhagen Hepatitis C Program (CO-HEP), Department of Infectious Diseases, Copenhagen University Hospital-Hvidovre, Hvidovre, Denmark
- Copenhagen Hepatitis C Program (CO-HEP), Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Christina Sølund
- Copenhagen Hepatitis C Program (CO-HEP), Department of Infectious Diseases, Copenhagen University Hospital-Hvidovre, Hvidovre, Denmark
- Copenhagen Hepatitis C Program (CO-HEP), Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Infectious Diseases, Copenhagen University Hospital-Hvidovre, Hvidovre, Denmark
| | - Nina Weis
- Department of Infectious Diseases, Copenhagen University Hospital-Hvidovre, Hvidovre, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jesper Hansen Bonde
- Department of Pathology, Copenhagen University Hospital-Hvidovre, Hvidovre, Denmark
| | - Jan P Christensen
- Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Gabriel K Pedersen
- Copenhagen Hepatitis C Program (CO-HEP), Department of Infectious Diseases, Copenhagen University Hospital-Hvidovre, Hvidovre, Denmark
- Copenhagen Hepatitis C Program (CO-HEP), Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Vaccine Research, Department of Infectious Disease Immunology, Statens Serum Institut, Copenhagen, Denmark
| | - Henrik Elvang Jensen
- Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - Kenn Holmbeck
- Copenhagen Hepatitis C Program (CO-HEP), Department of Infectious Diseases, Copenhagen University Hospital-Hvidovre, Hvidovre, Denmark
- Copenhagen Hepatitis C Program (CO-HEP), Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jens Bukh
- Copenhagen Hepatitis C Program (CO-HEP), Department of Infectious Diseases, Copenhagen University Hospital-Hvidovre, Hvidovre, Denmark
- Copenhagen Hepatitis C Program (CO-HEP), Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Judith Margarete Gottwein
- Copenhagen Hepatitis C Program (CO-HEP), Department of Infectious Diseases, Copenhagen University Hospital-Hvidovre, Hvidovre, Denmark.
- Copenhagen Hepatitis C Program (CO-HEP), Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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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. [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] [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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3
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Cheung YYH, Lau EHY, Yin G, Lin Y, Jiang J, Cowling BJ, Lam KF. Joint analysis of vaccination effectiveness and antiviral drug effectiveness for COVID-19: a causal inference approach. Int J Infect Dis 2024; 143:107012. [PMID: 38521448 DOI: 10.1016/j.ijid.2024.107012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 03/11/2024] [Accepted: 03/12/2024] [Indexed: 03/25/2024] Open
Abstract
OBJECTIVES This study aims to estimate the causal effects of oral antivirals and vaccinations in the prevention of all-cause mortality and progression to severe COVID-19 in an integrative setting with both antivirals and vaccinations considered as interventions. METHODS We identified hospitalized adult patients (i.e. aged 18 or above) in Hong Kong with confirmed SARS-CoV-2 infection between March 16, 2022, and December 31, 2022. An inverse probability-weighted (IPW) Andersen-Gill model with time-dependent predictors was used to address immortal time bias and produce causal estimates for the protection effects of oral antivirals and vaccinations against severe COVID-19. RESULTS Given prescription is made within 5 days of confirmed infection, nirmatrelvir-ritonavir is more effective in providing protection against all-cause mortality and development into severe COVID-19 than molnupiravir. There was no significant difference between CoronaVac and Comirnaty in the effectiveness of reducing all-cause mortality and progression to severe COVID-19. CONCLUSIONS The use of oral antivirals and vaccinations causes lower risks of all-cause mortality and progression to severe COVID-19 for hospitalized SARS-CoV-2 patients.
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Affiliation(s)
- Yue Yat Harrison Cheung
- Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Eric Ho Yin Lau
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Guosheng Yin
- Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong Special Administrative Region, China; Department of Mathematics, Imperial College London, London, The United Kingdom
| | - Yun Lin
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Jialiang Jiang
- Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Benjamin John Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health (D24H) Limited, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Kwok Fai Lam
- Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong Special Administrative Region, China; Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.
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Cheng FWT, Yan VKC, Wan EYF, Chui CSL, Lai FTT, Wong CKH, Li X, Chan CIY, Wang B, Tang SCW, Wong ICK, Chan EWY. Vaccine Effectiveness of BNT162b2 and CoronaVac against SARS-CoV-2 Omicron BA.2 in CKD. Clin J Am Soc Nephrol 2024; 19:418-428. [PMID: 38147590 PMCID: PMC11020433 DOI: 10.2215/cjn.0000000000000376] [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: 12/07/2022] [Accepted: 12/15/2023] [Indexed: 12/28/2023]
Abstract
BACKGROUND The ongoing coronavirus disease 2019 (COVID-19) pandemic has posed increased risks of hospitalization and mortality in patients with underlying CKD. Current data on vaccine effectiveness of COVID-19 vaccines are limited to patients with CKD on dialysis and seroconversion in the non-dialysis population. METHODS A case-control study was conducted of adults with CKD using data extracted from the electronic health record database in Hong Kong. Adults with CKD and COVID-19 confirmed by PCR were included in the study. Each case was matched with up to ten controls attending Hospital Authority services without a diagnosis of COVID-19 on the basis of age, sex, and index date (within three calendar days). The vaccine effectiveness of BNT162b2 and CoronaVac in preventing COVID-19 infection, hospitalizations, and all-cause mortality was estimated using conditional logistic regression adjusted by patients' comorbidities and medication history during the outbreak from January to March 2022. RESULTS A total of 20,570 COVID-19 cases, 6604 COVID-19-related hospitalizations, and 2267 all-cause mortality were matched to 81,092, 62,803, and 21,348 controls, respectively. Compared with the unvaccinated group, three doses of BNT162b2 or CoronaVac were associated with a reduced risk of infection (BNT162b2: 64% [95% confidence interval (CI), 60 to 67], CoronaVac: 42% [95% CI, 38 to 47]), hospitalization (BNT162b2: 82% [95% CI, 77 to 85], CoronaVac: 80% [95% CI, 76 to 84]), and mortality (BNT162b2: 94% [95% CI, 88 to 97], CoronaVac: 93% [95% CI, 88 to 96]). Vaccines were less effective in preventing infection and hospitalization in the eGFR <15 and 15-29 ml/min per 1.73 m 2 subgroups as compared with higher GFR subgroups. However, receipt of vaccine, even for one dose, was effective in preventing all-cause mortality, with estimates similar to the higher eGFR subgroups, as compared with unvaccinated. CONCLUSIONS A dose-response relationship was observed between the number of BNT162b2 or CoronaVac doses and the effectiveness against COVID-19 infection and related comorbidity in the CKD population.
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Affiliation(s)
- Franco Wing Tak Cheng
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Vincent Ka Chun Yan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Eric Yuk Fai Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Francisco Tsz Tsun Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
| | - Carlos King Ho Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Cheyenne I Ying Chan
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Boyuan Wang
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Sydney Chi Wai Tang
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ian Chi Kei Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Aston Pharmacy School, Aston University, Birmingham, United Kingdom
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
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Lai FTT, Liu W, Hu Y, Wei C, Chu RYK, Lum DH, Leung JCN, Cheng FWT, Chui CSL, Li X, Wan EYF, Wong CKH, Cheung CL, Chan EWY, Hung IFN, Wong ICK. Elevated risk of multimorbidity post-COVID-19 infection: protective effect of vaccination. QJM 2024; 117:125-132. [PMID: 37824396 DOI: 10.1093/qjmed/hcad236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 10/05/2023] [Indexed: 10/14/2023] Open
Abstract
BACKGROUND It is unclear how the coronavirus disease 2019 (Covid-19) pandemic has affected multimorbidity incidence among those with one pre-existing chronic condition, as well as how vaccination could modify this association. AIM To examine the association of Covid-19 infection with multimorbidity incidence among people with one pre-existing chronic condition, including those with prior vaccination. DESIGN Nested case-control study. METHODS We conducted a territory-wide nested case-control study with incidence density sampling using Hong Kong electronic health records from public healthcare facilities and mandatory Covid-19 reports. People with one listed chronic condition (based on a list of 30) who developed multimorbidity during 1 January 2020-15 November 2022 were selected as case participants and randomly matched with up to 10 people of the same age, sex and with the same first chronic condition without having developed multimorbidity at that point. Conditional logistic regression was used to estimate adjusted odds ratios (aORs) of multimorbidity. RESULTS In total, 127 744 case participants were matched with 1 230 636 control participants. Adjusted analysis showed that there were 28%-increased odds of multimorbidity following Covid-19 [confidence interval (CI) 22% to 36%] but only 3% (non-significant) with prior full vaccination with BNT162b2 or CoronaVac (95% CI -2% to 7%). Similar associations were observed in men, women, older people aged 65 or more, and people aged 64 or younger. CONCLUSIONS We found a significantly elevated risk of multimorbidity following a Covid-19 episode among people with one pre-existing chronic condition. Full vaccination significantly reduced this risk increase.
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Affiliation(s)
- F T T Lai
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Sha Tin, Hong Kong SAR, China
| | - W Liu
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - Y Hu
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - C Wei
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - R Y K Chu
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - D H Lum
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - J C N Leung
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - F W T Cheng
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - C S L Chui
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Sha Tin, Hong Kong SAR, China
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - X Li
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Sha Tin, Hong Kong SAR, China
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - E Y F Wan
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Sha Tin, Hong Kong SAR, China
| | - C K H Wong
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Sha Tin, Hong Kong SAR, China
| | - C L Cheung
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Sha Tin, Hong Kong SAR, China
| | - E W Y Chan
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Sha Tin, Hong Kong SAR, China
| | - I F N Hung
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - I C K Wong
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Sha Tin, Hong Kong SAR, China
- Aston Pharmacy School, Aston University, Birmingham, England, UK
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6
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Lam ICH, Zhang R, Man KKC, Wong CKH, Chui CSL, Lai FTT, Li X, Chan EWY, Lau CS, Wong ICK, Wan EYF. Persistence in risk and effect of COVID-19 vaccination on long-term health consequences after SARS-CoV-2 infection. Nat Commun 2024; 15:1716. [PMID: 38403654 PMCID: PMC10894867 DOI: 10.1038/s41467-024-45953-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 02/08/2024] [Indexed: 02/27/2024] Open
Abstract
The persisting risk of long-term health consequences of SARS-CoV-2 infection and the protection against such risk conferred by COVID-19 vaccination remains unclear. Here we conducted a retrospective territory-wide cohort study on 1,175,277 patients with SARS-CoV-2 infection stratified by their vaccination status and non-infected controls to evaluate the risk of clinical sequelae, cardiovascular and all-cause mortality using a territory-wide public healthcare database with population-based vaccination records in Hong Kong. A progressive reduction in risk of all-cause mortality was observed over one year between patients with SARS-CoV-2 infection and controls. Patients with complete vaccination or have received booster dose incurred a lower risk of health consequences including major cardiovascular diseases, and all-cause mortality than unvaccinated or patients with incomplete vaccination 30-90 days after infection. Completely vaccinated and patients with booster dose of vaccines did not incur significant higher risk of health consequences from 271 and 91 days of infection onwards, respectively, whilst un-vaccinated and incompletely vaccinated patients continued to incur a greater risk of clinical sequelae for up to a year following SARS-CoV-2 infection. This study provided real-world evidence supporting the effectiveness of COVID-19 vaccines in reducing the risk of long-term health consequences of SARS-CoV-2 infection and its persistence following infection.
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Affiliation(s)
- Ivan Chun Hang Lam
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ran Zhang
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Kenneth Keng Cheung Man
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK
- Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, UK
| | - Carlos King Ho Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Department of Infectious Disease Epidemiology & Dynamics, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong SAR, Hong Kong, China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong, China
| | - Francisco Tsz Tsun Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong, China
| | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong, China
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Department of Medicine, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
- The University of Hong Kong Shenzhen Institute of Research and Innovation, Hong Kong SAR, China
| | - Chak Sing Lau
- Division of Rheumatology and Clinical Immunology, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ian Chi Kei Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China.
- Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong, China.
- Aston Pharmacy School, Aston University, Birmingham, UK.
| | - Eric Yuk Fai Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China.
- Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong, China.
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7
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Xu T, Chen Y, Zhan W, Chung KF, Qiu Z, Huang K, Chen R, Xie J, Wang G, Zhang M, Wang X, Yao H, Liao X, Zhang Y, Zhang G, Zhang W, Sun D, Zhu J, Jiang S, Feng J, Zhao J, Sun G, Huang H, Zhang J, Wang L, Wu F, Li S, Xu P, Chi C, Chen P, Jiang M, He W, Huang L, Luo W, Li S, Zhong N, Lai K. Profiles of Cough and Associated Risk Factors in Nonhospitalized Individuals With SARS-CoV-2 Omicron Variant Infection: Cross-Sectional Online Survey in China. JMIR Public Health Surveill 2024; 10:e47453. [PMID: 38315527 PMCID: PMC10877488 DOI: 10.2196/47453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 07/19/2023] [Accepted: 11/29/2023] [Indexed: 02/07/2024] Open
Abstract
BACKGROUND Cough is a common symptom during and after COVID-19 infection; however, few studies have described the cough profiles of COVID-19. OBJECTIVE The aim of this study was to investigate the prevalence, severity, and associated risk factors of severe and persistent cough in individuals with COVID-19 during the latest wave of the Omicron variant in China. METHODS In this nationwide cross-sectional study, we collected information of the characteristics of cough from individuals with infection of the SARS-CoV-2 Omicron variant using an online questionnaire sent between December 31, 2022, and January 11, 2023. RESULTS There were 11,718 (n=7978, 68.1% female) nonhospitalized responders, with a median age of 37 (IQR 30-47) years who responded at a median of 16 (IQR 12-20) days from infection onset to the time of the survey. Cough was the most common symptom, occurring in 91.7% of participants, followed by fever, fatigue, and nasal congestion (68.8%-87.4%). The median cough visual analog scale (VAS) score was 70 (IQR 50-80) mm. Being female (odds ratio [OR] 1.31, 95% CI 1.20-1.43), having a COVID-19 vaccination history (OR 1.71, 95% CI 1.37-2.12), current smoking (OR 0.48, 95% CI 0.41-0.58), chronic cough (OR 2.04, 95% CI 1.69-2.45), coronary heart disease (OR 1.71, 95% CI 1.17-2.52), asthma (OR 1.22, 95% CI 1.02-1.46), and gastroesophageal reflux disease (GERD) (OR 1.21, 95% CI 1.01-1.45) were independent factors for severe cough (VAS>70, 37.4%). Among all respondents, 35.0% indicated having a productive cough, which was associated with risk factors of being female (OR 1.44, 95% CI 1.31-1.57), having asthma (OR 1.84, 95% CI 1.52-2.22), chronic cough (OR 1.44, 95% CI 1.19-1.74), and GERD (OR 1.22, 95% CI 1.01-1.47). Persistent cough (>3 weeks) occurred in 13.0% of individuals, which was associated with the risk factors of having diabetes (OR 2.24, 95% CI 1.30-3.85), asthma (OR 1.70, 95% CI 1.11-2.62), and chronic cough (OR 1.97, 95% CI 1.32-2.94). CONCLUSIONS Cough is the most common symptom in nonhospitalized individuals with Omicron SARS-CoV-2 variant infection. Being female, having asthma, chronic cough, GERD, coronary heart disease, diabetes, and a COVID-19 vaccination history emerged as independent factors associated with severe cough, productive cough, and persistent cough.
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Affiliation(s)
- Tingting Xu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuehan Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wenzhi Zhan
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Kian Fan Chung
- Department of Respiratory Medicine, Royal Brompton and Harefield Hospital, London, United Kingdom
- Experimental Studies Unit, National Heart & Lung Institute, Imperial College London, London, United Kingdom
| | - Zhongmin Qiu
- Department of Pulmonary and Critical Care Medicine, School of Medicine, Tongji Hospital, Tongji University, Shanghai, China
| | - Kewu Huang
- Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Ruchong Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jiaxing Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Gang Wang
- West China School of Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Min Zhang
- Department of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Xuefen Wang
- Department of Respiratory Medicine, The First Affliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Hongmei Yao
- Department of Respiratory Medicine, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China
| | - Xiuqing Liao
- Department of Respiratory Medicine, Fuling Center Hospital of Chongqing, Chongqing, China
| | - Yunhui Zhang
- The First People's Hospital of Yunnan Province, Kunming, China
| | - Guojun Zhang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Wei Zhang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Dejun Sun
- Department of Pulmonary and Critical Care Medicine, the Inner Mongolia Autonomous Region People's Hospital, Hohhot, China
| | - Jia Zhu
- Department of Respiratory Medicine, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Shujuan Jiang
- Department of Pulmonary Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Juntao Feng
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China
| | - Jianping Zhao
- Department of Respiratory Medicine, Tongji Hospital, Tongji Medical College of Hua Zhong University of Science and Technology, Wuhan, China
| | - Gengyun Sun
- Department of Respiratory Medicine, The First Affiliated Hospital of Medical University of Anhui, Hefei, China
| | - Huaqiong Huang
- Key Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Jianyong Zhang
- The Second Department of Pulmonary and Critical Care Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Lingwei Wang
- Shenzhen People's Hospital, Shenzhen Institute of Respiratory Diseases, Shenzhen, China
| | - Feng Wu
- Department of Pulmonary and Critical Care Medicine, Huizhou Third People's Hospital, Guangzhou Medical University, Huizhou, China
| | - Suyun Li
- The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China
| | - Pusheng Xu
- The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Chunhua Chi
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China
| | - Ping Chen
- General Hospital of Northern Theater Command, Shenyang, China
| | - Mei Jiang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wen He
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Lianrong Huang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wei Luo
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shiyue Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Nanshan Zhong
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Kefang Lai
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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8
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Qin SX, Cheng FWT, Kwok WC, Fung LWY, Ma TT, Yiu HHE, Bloom C, McDonald CF, Cheung CL, Lai FTT, Chui CSL, Li X, Wong CKH, Wan EYF, Wong ICK, Chan EWY. Effectiveness and Respiratory Adverse Events Following Inactivated and mRNA COVID-19 Vaccines in Patients with COPD and Asthma: A Chinese Population-Based Study. Drug Saf 2024; 47:135-146. [PMID: 38085500 PMCID: PMC10821837 DOI: 10.1007/s40264-023-01364-7] [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] [Accepted: 10/09/2023] [Indexed: 01/28/2024]
Abstract
INTRODUCTION Effectiveness and respiratory adverse events following coronavirus disease-2019 (COVID-19) vaccines have not been well investigated in Chinese patients with chronic obstructive pulmonary disease (COPD) and asthma. METHODS Using electronic health care records in Hong Kong, we included adults with COPD or asthma or both and hospitalised for severe respiratory exacerbation in a self-controlled case series (SCCS) study between 23/02/2021 and 30/11/2022. Conditional Poisson regression models were used to estimate the incidence of outcomes within exposure periods (28 days after each dose) compared with baseline periods. Cox proportional hazard models evaluated vaccine effectiveness (VE) against COVID-related mortality, hospitalisation, and severe complications, including admission to intensive care units or ventilatory support. The VE assessment was based on vaccine types and the number of doses. RESULTS In the SCCS, 343 CoronaVac recipients and 212 BNT162b2 recipients were included. No increased risk of outcomes was observed within the exposure periods. In the cohort study, 108,423 and 83,323 patients received ≥ 2 doses of CoronaVac and BNT162b2, respectively. The VE (95% CI) against COVID-related mortality, hospitalisation, and severe complications after two-dose CoronaVac was 77% (74-80%), 18% (6-23%), and 29% (12-43%), respectively, while for the two-dose regimen of BNT162b2, it was 92% (91-94%), 33% (30-37%), and 57% (45-66%), respectively. Higher VE against COVID-related mortality, hospitalisation, and severe complications was found for the three-dose regimen of CoronaVac (94%, 40%, and 71%) and BNT162b2 (98%, 65%, and 83%). Administering a fourth dose of either vaccine showed additional reductions in COVID-related outcomes. CONCLUSIONS Among people with COPD and asthma, the COVID-19 vaccines CoronaVac and BNT162b2 did not increase severe exacerbations and achieved moderate-to-high effectiveness against COVID-related outcomes. COVID-19 vaccination remains essential and should be encouraged to protect this vulnerable population in future epidemic waves.
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Affiliation(s)
- Simon Xiwen Qin
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- School of Population and Global Health, The University of Western Australia, Perth, Australia
| | - Franco Wing Tak Cheng
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
| | - Wang Chun Kwok
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Lydia W Y Fung
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Tian Tian Ma
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Hei Hang Edmund Yiu
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
| | - Chloe Bloom
- Faculty of Medicine, National Heart and Lung Institute, Imperial College London, London, UK
| | - Christine F McDonald
- School of Medicine, University of Melbourne, Melbourne, Australia
- Department of Respiratory and Sleep Medicine, Austin Health, Heidelberg, VIC, Australia
| | - Ching-Lung Cheung
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Francisco Tsz Tsun Lai
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Xue Li
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Carlos King Ho Wong
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Eric Yuk Fai Wan
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Ian Chi Kei Wong
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China.
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China.
- Aston Pharmacy School, Aston University, Birmingham, B4 7ET, UK.
| | - Esther Wai Yin Chan
- Centre for Safe Medicine Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China.
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China.
- , 02-08, 2/F Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong SAR, China.
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9
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Gan M, Cao J, Zhang Y, Fu H, Lin X, Ouyang Q, Xu X, Yuan Y, Fan X. Landscape of T cell epitopes displays hot mutations of SARS-CoV-2 variant spikes evading cellular immunity. J Med Virol 2024; 96:e29452. [PMID: 38314852 DOI: 10.1002/jmv.29452] [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: 09/14/2023] [Revised: 01/17/2024] [Accepted: 01/23/2024] [Indexed: 02/07/2024]
Abstract
The continuous evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been accompanied by the emergence of viral mutations that pose a great challenge to existing vaccine strategies. It is not fully understood with regard to the role of mutations on the SARS-CoV-2 spike protein from emerging viral variants in T cell immunity. In the current study, recombinant eukaryotic plasmids were constructed as DNA vaccines to express the spike protein from multiple SARS-CoV-2 strains. These DNA vaccines were used to immunize BALB/c mice, and cross-T cell responses to the spike protein from these viral strains were quantitated using interferon-γ (IFN-γ) Elispot. Peptides covering the full-length spike protein from different viral strains were used to detect epitope-specific IFN-γ+ CD4+ and CD8+ T cell responses by fluorescence-activated cell sorting. SARS-CoV-2 Delta and Omicron BA.1 strains were found to have broad T cell cross-reactivity, followed by the Beta strain. The landscapes of T cell epitopes on the spike protein demonstrated that at least 30 mutations emerging from Alpha to Omicron BA.5 can mediate the escape of T cell immunity. Omicron and its sublineages have 19 out of these 30 mutations, most of which are new, and a few are inherited from ancient circulating variants of concerns. The cross-T cell immunity between SARS-CoV-2 prototype strain and Omicron strains can be attributed to the T cell epitopes located in the N-terminal domain (181-246 aa [amino acids], 271-318 aa) and C-terminal domain (1171-1273 aa) of the spike protein. These findings provide in vivo evidence for optimizing vaccine manufacturing and immunization strategies for current or future viral variants.
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Affiliation(s)
- Mengze Gan
- Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China
| | - Jinge Cao
- Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China
| | - Yandi Zhang
- Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China
| | - Hui Fu
- Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaosong Lin
- Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China
| | - Qi Ouyang
- Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China
| | - Xinyue Xu
- Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China
| | - Yin Yuan
- Department of Pediatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xionglin Fan
- Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, China
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10
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Martin R, Maleche A, Gay J, Fatima H. Lessons learnt from COVID-19 to reduce mortality and morbidity in the Global South: addressing global vaccine equity for future pandemics. BMJ Glob Health 2024; 9:e013680. [PMID: 38167259 PMCID: PMC10773420 DOI: 10.1136/bmjgh-2023-013680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 11/06/2023] [Indexed: 01/05/2024] Open
Abstract
COVID-19, which killed more than 6 million people, will not be the last pandemic. Vaccines are key to preventing and ending pandemics. Therefore, it is critical to move now, before the next pandemic, towards global vaccine equity with shared goals, intermediate steps and long-term advocacy goals. Scientific integrity, ethical development, transparency, accountability and communication are critical. Countries can draw on lessons learnt from their response to the HIV pandemics, which has been at the vanguard of ensuring equitable access to rights-based services, to create shared goals and engage communities to increase access to and delivery of safe, quality vaccines. Access can be increased by: fostering the spread of mRNA intellectual property (IP) rights, with mRNA vaccine manufacturing on more continents; creating price transparency for vaccines; creating easily understandable, accessible and transparent data on vaccines; creating demand for a new international legal framework that allows IP rights to be waived quickly once a global pandemic is identified; and drawing on scientific expertise from around the world. Delivery can be improved by: creating strong public health systems that can deliver vaccines through the lifespan; creating or strengthening national regulatory agencies and independent national scientific advisory committees for vaccines; disseminating information from reliable, transparent national and subnational surveillance systems; improving global understanding that as more scientific data become available, this may result in changes to public health guidance; prioritising access to vaccines based on scientific criteria during an epidemic; and developing strategies to vaccinate those at highest risk with available vaccines.
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Affiliation(s)
- Rebecca Martin
- Global Health Institute, Emory University, Atlanta, Georgia, USA
| | - Allan Maleche
- Kenya Legal & Ethical Issues Network on HIV and AIDS (KELIN), Nairobi, Kenya
| | - Jill Gay
- Global Health Institute, Emory University, Atlanta, Georgia, USA
- J Gay Associates, Takoma Park, Maryland, USA
| | - Haram Fatima
- Global Health Institute, Emory University, Atlanta, Georgia, USA
- Georgia State University, Atlanta, Georgia, USA
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11
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Sritipsukho P, Khawcharoenporn T, Siribumrungwong B, Damronglerd P, Suwantarat N, Satdhabudha A, Chaiyakulsil C, Sinlapamongkolkul P, Tangsathapornpong A, Bunjoungmanee P, Nanthapisal S, Tanprasertkul C, Sritipsukho N, Mingmalairak C, Apisarnthanarak A, Tantiyavarong P. Real-life effectiveness of COVID-19 vaccine during the Omicron variant-dominant pandemic: how many booster doses do we need? Emerg Microbes Infect 2023; 12:2174779. [PMID: 36715323 PMCID: PMC9936995 DOI: 10.1080/22221751.2023.2174779] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
The surge in coronavirus disease 2019 (COVID-19) caused by the Omicron variants of the severe acute respiratory syndrome coronavirus 2 necessitates researches to inform vaccine effectiveness (VE) and other preventive measures to halt the pandemic. A test-negative case-control study was conducted among adults (age ≥18 years) who were at-risk for COVID-19 and presented for nasopharyngeal real-time polymerase chain reaction testing during the Omicron variant-dominant period in Thailand (1 January 2022-15 June 2022). All participants were prospectively followed up for COVID-19 development for 14 days after the enrolment. Vaccine effectiveness was estimated and adjusted for characteristics associated with COVID-19. Of the 7971 included individuals, there were 3104 cases and 4867 controls. The adjusted VE among persons receiving 2-dose, 3-dose, and 4-dose vaccine regimens for preventing infection and preventing moderate-to-critical diseases were 33%, 48%, 62% and 60%, 74%, 76%, respectively. The VE were generally higher among those receiving the last dose of vaccine within 90 days compared to those receiving the last dose more than 90 days prior to the enrolment. The highest VE were observed in individuals receiving the 4-dose regimen, CoronaVac-CoronaVac-ChAdOx1 nCoV-19-BNT162b2 for both preventing infection (65%) and preventing moderate-to-critical diseases (82%). Our study demonstrated increased VE along with an increase in number of vaccine doses received. Current vaccination programmes should focus on reducing COVID-19 severity and mandate at least one booster dose. The heterologous boosters with viral vector and mRNA vaccines were highly effective and can be used in individuals who previously received the primary series of inactivated vaccine.
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Affiliation(s)
- Paskorn Sritipsukho
- Center of Excellence in Applied Epidemiology, Thammasat University, Pathumthani, Thailand,Department of Pediatrics, Faculty of Medicine, Thammasat University, Pathumthani, Thailand
| | - Thana Khawcharoenporn
- Center of Excellence in Applied Epidemiology, Thammasat University, Pathumthani, Thailand,Department of Internal Medicine, Faculty of Medicine, Thammasat University, Pathumthani, Thailand, Thana Khawcharoenporn Division of Infectious Diseases, Department of Internal Medicine, Faculty of Medicine, Thammasat University, Pathumthani, 12120, Thailand
| | - Boonying Siribumrungwong
- Center of Excellence in Applied Epidemiology, Thammasat University, Pathumthani, Thailand,Department of Surgery, Faculty of Medicine, Thammasat University, Pathumthani, Thailand
| | - Pansachee Damronglerd
- Department of Internal Medicine, Faculty of Medicine, Thammasat University, Pathumthani, Thailand
| | - Nuntra Suwantarat
- Department of Internal Medicine, Chulabhorn International College of Medicine, Thammasat University, Pathumthani, Thailand
| | - Araya Satdhabudha
- Department of Pediatrics, Faculty of Medicine, Thammasat University, Pathumthani, Thailand
| | - Chanapai Chaiyakulsil
- Department of Pediatrics, Faculty of Medicine, Thammasat University, Pathumthani, Thailand
| | | | | | - Pornumpa Bunjoungmanee
- Department of Pediatrics, Faculty of Medicine, Thammasat University, Pathumthani, Thailand
| | - Sira Nanthapisal
- Center of Excellence in Applied Epidemiology, Thammasat University, Pathumthani, Thailand,Department of Pediatrics, Faculty of Medicine, Thammasat University, Pathumthani, Thailand
| | - Chamnan Tanprasertkul
- Center of Excellence in Applied Epidemiology, Thammasat University, Pathumthani, Thailand,Department of Obstetrics & Gynecology, Faculty of Medicine, Thammasat University, Pathumthani, Thailand
| | - Naiyana Sritipsukho
- Thammasat Postdoctoral Fellowship, Thammasat University, Pathumthani, Thailand
| | - Chatchai Mingmalairak
- Department of Surgery, Faculty of Medicine, Thammasat University, Pathumthani, Thailand
| | - Anucha Apisarnthanarak
- Center of Excellence in Applied Epidemiology, Thammasat University, Pathumthani, Thailand,Department of Internal Medicine, Faculty of Medicine, Thammasat University, Pathumthani, Thailand
| | - Pichaya Tantiyavarong
- Department of Clinical Epidemiology, Faculty of Medicine, Thammasat University, Pathumthani, Thailand
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12
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Saviano M, Fierro A, Liccardo A. A deterministic compartmental model for the transition between variants in the spread of Covid-19 in Italy. PLoS One 2023; 18:e0293416. [PMID: 37963148 PMCID: PMC10645303 DOI: 10.1371/journal.pone.0293416] [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: 04/27/2023] [Accepted: 10/08/2023] [Indexed: 11/16/2023] Open
Abstract
We propose a deterministic epidemic model to describe the transition between two variants of the same virus, through the combination of a series of realistic mechanisms such as partial cross immunity, waning immunity for vaccinated individuals and a novel data-based algorithm to describe the average immunological status of the population. The model is validated on the evolution of Covid-19 in Italy, during the period in which the transition between Delta and Omicron variant occurred, with very satisfactory agreement with the experimental data. According to our model, if the vaccine efficacy had been equal against Delta and Omicron variant infections, the transition would have been smoothed and the epidemic would have gone extinct. This circumstance confirms the fundamental role of vaccines in combating the epidemic, and the importance of identifying vaccines capable of intercepting new variants.
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Affiliation(s)
- Mario Saviano
- Physics Department, Università degli Studi di Napoli ‘Federico II’, Napoli, Italy
| | - Annalisa Fierro
- Consiglio Nazionale delle Ricerche (CNR), Institute Superconductors, Oxides and other Innovative Materials and Devices (SPIN), Napoli, Italy
| | - Antonella Liccardo
- Physics Department, Università degli Studi di Napoli ‘Federico II’, Napoli, Italy
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13
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Yiu HHE, Yan VKC, Wei Y, Ye X, Huang C, Castle DJ, Chui CSL, Lai FTT, Li X, Wong CKH, Wan EYF, Wong ICK, Chan EW. Risks of COVID-19-related hospitalisation and mortality among individuals with mental disorders following BNT162b2 and CoronaVac vaccinations: A case-control study. Psychiatry Res 2023; 329:115515. [PMID: 37820573 DOI: 10.1016/j.psychres.2023.115515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 09/29/2023] [Accepted: 09/29/2023] [Indexed: 10/13/2023]
Abstract
Concerns have been raised regarding potential weaker vaccine immunogenicity with higher immune suppression for individuals with pre-existing mental disorders. Yet, data on the effectiveness of COVID-19 vaccinations among this vulnerable population are limited. A case-control study was conducted to investigate the risks of COVID-19-related hospitalisation and mortality among individuals with mental disorders following one to three doses of BNT162b2 and CoronaVac vaccinations in Hong Kong. Data were extracted from electronic health records, vaccination and COVID-19 confirmed case records. Conditional logistic regression was applied with adjustment for comorbidities and medication history. Subgroup analyses were performed with stratification: by age (< 65 and ≥ 65) and mental disorders diagnosis (depression, schizophrenia, anxiety disorder, and bipolar disorder). Two doses of BNT162b2 and CoronaVac significantly reduced COVID-19-related hospitalisation and mortality. Further protection for both outcomes was provided after three doses of BNT162b2 and CoronaVac. The vaccine effectiveness magnitude of BNT162b2 was generally higher than CoronaVac, but the difference diminished after the third dose. Individuals with mental disorders should be prioritised in future mass vaccination programmes of booster doses or bivalent COVID-19 vaccines. Targeted strategies should be developed to resolve the reasons behind vaccine hesitancy among this population and increase their awareness on the benefits of vaccination.
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Affiliation(s)
- Hei Hang Edmund Yiu
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Vincent K C Yan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Yue Wei
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Xuxiao Ye
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Caige Huang
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - David J Castle
- Department of Psychiatry, The University of Tasmania, Hobart, Tasmania, Australia; Centre for Mental Health Service Innovation, Statewide Mental Health Services, Hobart, Tasmania, Australia
| | - Celine S L Chui
- Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Hong Kong SAR, China; School of Nursing, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Francisco T T Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Hong Kong SAR, China; Department of Family Medicine and Primary Care, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Carlos K H Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Hong Kong SAR, China; Department of Family Medicine and Primary Care, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Eric Y F Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Hong Kong SAR, China; Department of Family Medicine and Primary Care, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ian C K Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Hong Kong SAR, China; Aston School of Pharmacy, Aston University, Birmingham, United Kingdom; Expert Committee on Clinical Events Assessment Following COVID-19 Immunization, Department of Health, The Government of the Hong Kong SAR, Hong Kong SAR, China.
| | - Esther W Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Hong Kong SAR, China; Department of Pharmacy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China; The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, China.
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14
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Liu B, Stepien S, Dobbins T, Gidding H, Henry D, Korda R, Mills L, Pearson SA, Pratt N, Vajdic CM, Welsh J, Macartney K. Effectiveness of COVID-19 vaccination against COVID-19 specific and all-cause mortality in older Australians: a population based study. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2023; 40:100928. [PMID: 37854458 PMCID: PMC10579525 DOI: 10.1016/j.lanwpc.2023.100928] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 08/27/2023] [Accepted: 09/19/2023] [Indexed: 10/20/2023]
Abstract
Background Few studies have examined effectiveness of COVID-19 vaccines against COVID-19 and all-cause mortality across different pandemic periods in 2022. Methods We used linked whole-of-population data from the 2021 Australian Census, Australian Immunisation Register, death registrations and other national datasets including migration data. Among 3.8 million adults aged 65+ years and >170,000 aged care residents, we used survival analysis to estimate vaccine effectiveness (VE) against COVID-19 specific mortality and all-cause mortality, by vaccine dose and time since receipt, adjusted for age, sex and other factors. We also estimated absolute COVID-19 mortality rates. Findings From January-May 2022 (Omicron BA.1/2), 3250 COVID-19 deaths occurred; from June-November (Omicron BA.4/5) 3185 COVID-19 deaths occurred. During January-May, VE of a 3rd COVID-19 vaccine dose within 3 months was 93% (95% CI 93-94%) whilst VE of a 2nd dose >6 months since receipt was 34% (26-42%). During June-November, VE of a 4th COVID-19 vaccine dose within 3 months was 84% (82-86%) whilst VE of a 3rd dose >6 months since receipt was 56% (50-62%). VE estimates for aged care residents were similar, but absolute risk reductions were substantially greater. During June-November 2022, for all-cause mortality, VE of a 4th dose within 3 months was 58% (56-59%) whilst VE of a 3rd dose >6 months since receipt was 19% (16-22%). Interpretations COVID-19 vaccination is highly effective against COVID-19 mortality among older adults although effectiveness wanes with time since the last dose. Our findings emphasise the importance of continuing to administer booster doses, particularly to those at highest risk. Funding This study was funded by the Health Economics Research Division in the Australian Government Department of Health and Aged Care.
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Affiliation(s)
- Bette Liu
- National Centre for Immunisation Research and Surveillance, Australia
- School of Population Health, UNSW Sydney, Australia
| | - Sandrine Stepien
- National Centre for Immunisation Research and Surveillance, Australia
| | - Timothy Dobbins
- School of Population Health, UNSW Sydney, Australia
- NHMRC Medicines Intelligence Centre of Research Excellence, Australia
| | - Heather Gidding
- National Centre for Immunisation Research and Surveillance, Australia
- School of Population Health, UNSW Sydney, Australia
- Faculty of Medicine and Health, University of Sydney, Australia
| | - David Henry
- School of Population Health, UNSW Sydney, Australia
- NHMRC Medicines Intelligence Centre of Research Excellence, Australia
- Institute for Evidence-Based Healthcare, Bond University, Australia
| | - Rosemary Korda
- National Centre for Epidemiology and Population Health, Australian National University, Australia
| | - Lucas Mills
- Department of Health and Aged Care, Commonwealth Government of Australia, Australia
| | - Sallie-Anne Pearson
- School of Population Health, UNSW Sydney, Australia
- NHMRC Medicines Intelligence Centre of Research Excellence, Australia
| | - Nicole Pratt
- NHMRC Medicines Intelligence Centre of Research Excellence, Australia
- Quality Use of Medicines and Pharmacy Research Centre, Clinical and Health Sciences, University of South Australia, Australia
| | - Claire M. Vajdic
- NHMRC Medicines Intelligence Centre of Research Excellence, Australia
- Kirby Institute, UNSW Sydney, Australia
| | - Jennifer Welsh
- National Centre for Epidemiology and Population Health, Australian National University, Australia
| | - Kristine Macartney
- National Centre for Immunisation Research and Surveillance, Australia
- Faculty of Medicine and Health, University of Sydney, Australia
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15
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Katz MA, Rojas Castro MY, Seyidov N, Herdman MT, Mehdiyev S, McKnight CJ, Guseinova A, Cojocaru R, Doran J, Mühlemann B, Drosten C, Suleymanova J, Pebody R, Kissling E, Hagverdiyev G. The effectiveness of primary series CoronaVac vaccine in preventing COVID-19 illness: A prospective cohort study among healthcare workers in Azerbaijan, May-November 2021. Influenza Other Respir Viruses 2023; 17:e13147. [PMID: 37799775 PMCID: PMC10548024 DOI: 10.1111/irv.13147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 04/29/2023] [Accepted: 05/03/2023] [Indexed: 10/07/2023] Open
Abstract
Background Healthcare workers (HCWs) have suffered considerable morbidity and mortality during the COVID-19 pandemic. Few studies have evaluated the CoronaVac vaccine effectiveness (VE), particularly in Eastern Europe, where the vaccine has been widely used. Methods We conducted a prospective cohort study among HCWs in seven hospitals in Baku, Azerbaijan between May 17 and November 30, 2021, to evaluate primary series (two-dose) CoronaVac VE against symptomatic SARS-CoV-2 infection. Participants completed weekly symptom questionnaires, provided nasopharyngeal swabs for SARS-CoV-2 RT-PCR testing when symptomatic, and provided serology samples at enrollment that were tested for anti-spike and anti-nucleocapsid antibodies. We estimated VE as (1 - hazard ratio)*100 using a Cox proportional hazards model with vaccination status as a time-varying exposure, adjusting for hospital and previous SARS-CoV-2 infection status. Results We enrolled 1582 HCWs. At enrollment, 1040 (66%) had received two doses of CoronaVac; 421 (27%) were unvaccinated. During the study period, 72 PCR-positive SARS-CoV-2 infections occurred; 36/39 (92%) sequenced samples were classified as Delta variants. Primary series VE against COVID-19 illness was 29% (95% CI: -51%; 67%) for the entire analysis period. For the Delta-only period (July 1-November 30, 2021), primary series VE was 19% (95% CI: -81%; 64%). For the entire analysis period, primary series VE was 39% (95% CI: -40%; 73%) for HCWs vaccinated within 14-149 days and 19% (95% CI: -81%; 63%) for those vaccinated ≥150 days. Conclusions During a period in Azerbaijan characterized by mostly Delta circulation, VE point estimates suggested that primary series CoronaVac protected nearly 1 in 3 HCWs against COVID-19, but 95% confidence intervals were wide, with lower bounds that crossed zero, reflecting the limited precision of our VE estimates. Our findings underscore the need to consider booster doses for individuals who have received the primary series of CoronaVac.
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Affiliation(s)
- Mark A. Katz
- World Health Organization Regional Office for EuropeCopenhagenDenmark
| | | | - Nabil Seyidov
- Public Health and Reforms CenterMinistry of HealthBakuAzerbaijan
| | - M. Trent Herdman
- UK Field Epidemiology Training ProgrammeUK Health Security AgencyLondonUK
| | - Samir Mehdiyev
- Public Health and Reforms CenterMinistry of HealthBakuAzerbaijan
| | - C. Jason McKnight
- World Health Organization Regional Office for EuropeCopenhagenDenmark
| | - Alina Guseinova
- World Health Organization Regional Office for EuropeCopenhagenDenmark
| | - Radu Cojocaru
- World Health Organization Regional Office for EuropeCopenhagenDenmark
| | - Jason Doran
- UK Field Epidemiology Training ProgrammeUK Health Security AgencyLondonUK
| | - Barbara Mühlemann
- Institute of Virology, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität BerlinHumboldt‐ Universität zu Berlin, and Berlin Institute of HealthBerlinGermany
- German Centre for Infection Research (DZIF), partner site CharitéBerlinGermany
| | - Christian Drosten
- Institute of Virology, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität BerlinHumboldt‐ Universität zu Berlin, and Berlin Institute of HealthBerlinGermany
- German Centre for Infection Research (DZIF), partner site CharitéBerlinGermany
| | | | - Richard Pebody
- World Health Organization Regional Office for EuropeCopenhagenDenmark
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16
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Sivaprakasam DR, Ohiri HO, Asif MS, Jahangir MS, Khan MKG, Nabeel MA, Abdullah RM. COVID-19 Vaccination and Its Relation to New-Onset Diabetes: A Narrative Review. Cureus 2023; 15:e47056. [PMID: 38022276 PMCID: PMC10644121 DOI: 10.7759/cureus.47056] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/14/2023] [Indexed: 12/01/2023] Open
Abstract
The COVID-19 vaccination has been effective in preventing a lot of complications caused by SARS-CoV-2 and its variants. Meanwhile, diabetes mellitus, one of the root causes of many co-morbidities, exhibited itself during the COVID-19 pandemic and after COVID-19 vaccination. Diabetes mellitus introduced itself in a new perspective, leading to a variety of presentations and causing a significant number of emergency admissions. Many of the pre-diabetes patients with no prior history of diabetes developed fulminant type 1 diabetes mellitus (T1DM) after the COVID-19 vaccination. Some cases of conversion of type 2 diabetes mellitus (T2DM) into T1DM were reported. Some prediabetes/diabetes patients presented with the development of diabetic ketoacidosis after COVID-19 vaccination, whereas some previously healthy people with no relation to diabetes also developed acute exacerbations of new-onset T1DM or T2DM along with lethal ketoacidosis. The purpose of writing this review was to explore what kind of people are more prone to develop new-onset diabetes or diabetic complications, including diabetic ketoacidosis, the typical presentation of these patients, possible mechanisms that lead to these complications occurring after the COVID-19 vaccination, how they can be managed, and whether there is a good prognosis after management or not.
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Affiliation(s)
| | | | - Mohammad S Asif
- Medicine Department, University College of Medicine and Dentistry, Lahore, PAK
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17
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Zhou P, Cao C, Ji T, Zheng T, Dai Y, Liu M, Jiang J, Sun D, Bai Z, Lu X, Gong F. Longitudinal analysis of memory Tfh cells and antibody response following CoronaVac vaccination. JCI Insight 2023; 8:e168437. [PMID: 37384407 PMCID: PMC10445683 DOI: 10.1172/jci.insight.168437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 06/28/2023] [Indexed: 07/01/2023] Open
Abstract
The inactivated vaccine CoronaVac is one of the most widely used COVID-19 vaccines globally. However, the longitudinal evolution of the immune response induced by CoronaVac remains elusive compared with other vaccine platforms. Here, we recruited 88 healthy individuals who received 3 doses of CoronaVac vaccine. We longitudinally evaluated their polyclonal and antigen-specific CD4+ T cells and neutralizing antibody response after receiving each dose of vaccine for over 300 days. Both the second and third doses of vaccine induced robust spike-specific neutralizing antibodies, with a third vaccine further increasing the overall magnitude of antibody response and neutralization against Omicron sublineages B.1.1.529, BA.2, BA.4/BA.5, and BA.2.75.2. Spike-specific CD4+ T cells and circulating T follicular helper (cTfh) cells were markedly increased by the second and third dose of CoronaVac vaccine, accompanied by altered composition of functional cTfh cell subsets with distinct effector and memory potential. Additionally, cTfh cells were positively correlated with neutralizing antibody titers. Our results suggest that CoronaVac vaccine-induced spike-specific T cells are capable of supporting humoral immunity for long-term immune protection.
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Affiliation(s)
- Pengcheng Zhou
- Department of Laboratory Medicine, Affiliated Hospital of Jiangnan University, Wuxi, China
- The University of Queensland Diamantina Institute, Brisbane, Queensland, Australia
| | - Cheng Cao
- Department of Laboratory Medicine, Affiliated Hospital of Jiangnan University, Wuxi, China
- Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Tuo Ji
- Department of Laboratory Medicine, Affiliated Hospital of Jiangnan University, Wuxi, China
- Department of Central Laboratory, The Second People’s Hospital of Lianyungang City (Cancer Hospital of Lianyungang), Lianyungang, China
| | - Ting Zheng
- Hospital for Special Surgery, Weill Cornell Medical College, New York, New York, USA
| | - Yaping Dai
- Department of Laboratory Medicine, The Fifth People’s Hospital of Wuxi, Wuxi, China
| | - Min Liu
- School of Biotechnology, Jiangnan University, Wuxi, China
| | - Junfeng Jiang
- Department of Laboratory Medicine, Affiliated Hospital of Jiangnan University, Wuxi, China
- Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Daoqi Sun
- Department of Laboratory Medicine, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Zhonghu Bai
- School of Biotechnology, Jiangnan University, Wuxi, China
| | - Xiaojie Lu
- Department of Laboratory Medicine, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Fang Gong
- Department of Laboratory Medicine, Affiliated Hospital of Jiangnan University, Wuxi, China
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18
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Ng RWY, Sze RKH, Chong KC, Zhao S, Ling L, Lui G, Leung ASY, Yeung ACM, Ho WCS, Wong MCS, Chen Z, Boon SS, Hui DSC, Chan PKS. Effectiveness of mRNA and inactivated COVID-19 vaccines: A test-negative study in an infection-naïve Hong Kong population. J Infect 2023; 87:136-143. [PMID: 37245544 PMCID: PMC10219670 DOI: 10.1016/j.jinf.2023.05.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 05/18/2023] [Accepted: 05/24/2023] [Indexed: 05/30/2023]
Abstract
OBJECTIVE Assess real-world effectiveness of vaccines against COVID-19. METHODS A test-negative study was conducted in January-May 2022 during an Omicron BA.2 wave in Hong Kong. COVID-19 was identified by RT-PCR. 1-1 case-control matching was based on propensity score with vaccine effectiveness adjusted for confounders. RESULTS Altogether, 1781 cases and 1737 controls aged 3-105 years were analysed. The mean lag time from the last dose of vaccination to testing for SARS-CoV-2 was 133.9 (SD: 84.4) days. Two doses of either vaccine within 180 days offered a low effectiveness against COVID-19 of all severity combined (VEadj [95% CI] for BNT162b2: 27.0% [4.2-44.5], CoronaVac: 22.9% [1.3-39.7]), and further decreased after 180 days. Two doses of CoronaVac were poorly protective 39.5% [4.9-62.5] against severe diseases for age ≥ 60 years, but the effectiveness increased substantially after the third dose (79.1% [25.7-96.7]). Two doses of BNT162b2 protected age ≥ 60 years against severe diseases (79.3% [47.2, 93.9]); however, the uptake was not high enough to assess three doses. CONCLUSIONS The current real-world analysis indicates a high vaccine effectiveness of three doses of inactivated virus (CoronaVac) vaccines against Omicron variant, whereas the effectiveness of two doses is suboptimal.
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Affiliation(s)
- Rita W Y Ng
- Department of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Ryan K H Sze
- Department of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Ka Chun Chong
- Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Shi Zhao
- Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Lowell Ling
- Department of Anaesthesia and Intensive Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Grace Lui
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China; Stanley Ho Centre for Emerging Infectious Diseases, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Agnes S Y Leung
- Department of Paediatrics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Apple C M Yeung
- Department of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Wendy C S Ho
- Department of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Martin C S Wong
- Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Zigui Chen
- Department of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Siaw S Boon
- Department of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - David S C Hui
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China; Stanley Ho Centre for Emerging Infectious Diseases, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Paul K S Chan
- Department of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China; Stanley Ho Centre for Emerging Infectious Diseases, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China.
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19
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Zhang X, Xia J, Jin L, Wu Y, Zheng X, Cao X, Meng X, Li J, Zhu F. Effectiveness of homologous or heterologous immunization regimens against SARS-CoV-2 after two doses of inactivated COVID-19 vaccine: A systematic review and meta-analysis. Hum Vaccin Immunother 2023; 19:2221146. [PMID: 37344370 PMCID: PMC10288895 DOI: 10.1080/21645515.2023.2221146] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 05/19/2023] [Accepted: 05/31/2023] [Indexed: 06/23/2023] Open
Abstract
We aimed to evaluate the effectiveness or efficacy of heterologous or homologous COVID-19 vaccine regimens against COVID-19-related outcomes after primary immunization with two doses of CoronaVac or Sinopharm COVID-19 vaccines. PubMed, EMBASE, Web of Science, and Cochrane Library databases were searched up to 31 October 2022. The primary measure was vaccine effectiveness against COVID-19 infection with homologous or heterologous booster. The results showed heterologous and homologous booster significantly improved effectiveness against COVID-19 infection compared to primary immunization. The effectiveness against COVID-19 infection was 89.19% (95%CI 78.49, 99.89) for heterologous mRNA vaccine booster, 87.00% (95%CI 82.14, 91.85) for non-replicating vector vaccine booster, 69.99% (95%CI 52.16, 87.82) for homologous booster, and 51.48% (95%CI 41.75, 61.21) for two doses of inactivated vaccine. Homologous and heterologous regimens were also effective against SARS-CoV-2 variants, and more evidence is still needed to confirm our findings.
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Affiliation(s)
- Xiaoyin Zhang
- School of Public Health, Southeast University, Nanjing, P.R. China
| | - Jiayue Xia
- School of Public Health, Southeast University, Nanjing, P.R. China
| | - Lairun Jin
- School of Public Health, Southeast University, Nanjing, P.R. China
| | - Yanfei Wu
- School of Public Health, Southeast University, Nanjing, P.R. China
| | - Xiuyu Zheng
- Research & Development Center, CanSino Biologics Inc, Tianjin, P. R. China
| | - Xiang Cao
- School of Public Health, Southeast University, Nanjing, P.R. China
| | - Xingchen Meng
- School of Public Health, Southeast University, Nanjing, P.R. China
| | - Jingxin Li
- School of Public Health, Southeast University, Nanjing, P.R. China
- National Health Commission (NHC) Key Laboratory of Enteric Pathogenic Microbiology, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, P.R. China
- Institute of Global Health and Emergency Pharmacy, China Pharmaceutical University, Nanjing, P. R. China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Fengcai Zhu
- School of Public Health, Southeast University, Nanjing, P.R. China
- National Health Commission (NHC) Key Laboratory of Enteric Pathogenic Microbiology, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, P.R. China
- Institute of Global Health and Emergency Pharmacy, China Pharmaceutical University, Nanjing, P. R. China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
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20
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Dogan M, Yilmaz B. Efficacy of BNT162b2 and CoronaVac in patients diagnosed with COVID-19. ACTA PHARMACEUTICA (ZAGREB, CROATIA) 2023; 73:257-268. [PMID: 37307370 DOI: 10.2478/acph-2023-0020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/03/2023] [Indexed: 06/14/2023]
Abstract
This retrospective observational study is aimed to determine the efficacy of BNT162b2 (Pfizer-BioNTech) and CoronaVac (Sinovac) vaccines against symptomatic or severe disease in COVID-19-diagnosed patients. The secondary aim was to define the differences between vaccinated and un-vaccinated patients in terms of age, comorbidities and course of the disease, and to determine the survival rates. Of the 1463 PCR-positive patients, 55.3 % were vaccinated, and 44.7 % were unvaccinated. While 959 patients had mild-moderate symptoms, 504 patients had severe-critical symptoms and were treated in the intensive care unit. There was a statistically significant difference in the distribution of the type and doses of vaccines between the patient groups (p = 0.021). The rate of receiving 2 doses of Biontech was 18.9 % in the mild-moderate patient group but lower in the severe patient group (12.6 %). The rate of two doses of Sinovac and two doses of Biontech vaccine (four doses of vaccine) was 5 % in the mild-moderate patient group and 1.9 % in the severe patient group. The mortality rates were statistically significantly different (p < 0.001) between the patient groups: 65.3 % in the severe patient group and 1 % in the mild-moderate patient group. The multivariate model showed that the mortality risk of the unvaccinated patients was 1.5 times higher than the vaccinated ones (p = 0.042). In addition to being unvaccinated, advanced age, coronary artery disease (CAD), diabetes mellitus (DM), chronic obstructive pulmonary disease (COPD), chronic kidney disease (CKD), and obesity were found to be associated with higher mortality risk. Besides, the reduction in mortality rate was more evident in individuals vaccinated with at least 2 doses of the BNT162b2 (Pfizer-BioNTech) vaccine than in CoronaVac group.
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Affiliation(s)
- Mustafa Dogan
- 1Tekirdag Corlu State Hospital Department of Infection Diseases and Clinical Microbiology Tekirdag, 59850 Turkey
| | - Berna Yilmaz
- 2Manisa City Hospital Department of Anesthesiology Reanimation and Intensive Care Manisa, Turkey
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Lam ICH, Wong CKH, Zhang R, Chui CSL, Lai FTT, Li X, Chan EWY, Luo H, Zhang Q, Man KKC, Cheung BMY, Tang SCW, Lau CS, Wan EYF, Wong ICK. Long-term post-acute sequelae of COVID-19 infection: a retrospective, multi-database cohort study in Hong Kong and the UK. EClinicalMedicine 2023; 60:102000. [PMID: 37197226 PMCID: PMC10173760 DOI: 10.1016/j.eclinm.2023.102000] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 04/19/2023] [Accepted: 04/21/2023] [Indexed: 05/19/2023] Open
Abstract
Background Evidence on post-acute sequelae of SARS-CoV-2 (PASC) has shown inconsistent findings. This study aimed to generate coherent evidence on the post-acute sequelae of COVID-19 infection using electronic healthcare records across two regions. Methods In this retrospective, multi-database cohort study, patients with COVID-19 aged 18 or above between April 1st 2020 and May 31st 2022 from the Hong Kong Hospital Authority (HKHA) and March 16th 2020 and May 31st 2021 from the UK Biobank (UKB) databases and their matched controls were followed for up to 28 and 17 months, respectively. Covariates between patients with COVID-19 and non-COVID-19 controls were adjusted using propensity score-based inverse probability treatment weighting. Cox proportional regression was used to estimate the hazard ratio (HR) of clinical sequelae, cardiovascular, and all-cause mortality 21 days after COVID-19 infection. Findings A total of 535,186 and 16,400 patients were diagnosed with COVID-19 from HKHA and UKB, of whom 253,872 (47.4%) and 7613 (46.4%) were male, with a mean age (±SD) of 53.6 (17.8) years and 65.0 (8.5) years, respectively. Patients with COVID-19 incurred greater risk of heart failure (HR 1.82; 95% CI 1.65, 2.01), atrial fibrillation (1.31; 1.16, 1.48), coronary artery disease (1.32; 1.07, 1.63), deep vein thrombosis (1.74; 1.27, 2.37), chronic pulmonary disease (1.61; 1.40, 1.85), acute respiratory distress syndrome (1.89; 1.04, 3.43), interstitial lung disease (3.91; 2.36, 6.50), seizure (2.32; 1.12, 4.79), anxiety disorder (1.65; 1.29, 2.09), post-traumatic stress disorder (1.52; 1.23, 1.87), end-stage renal disease (1.76; 1.31, 2.38), acute kidney injury (2.14; 1.69, 2.71), pancreatitis (1.42; 1.10, 1.83), cardiovascular (2.86; 1.25, 6.51) and all-cause mortality (4.16; 2.11, 8.21) mortality during their post-acute phase of infection. Interpretation The consistent greater risk of PASC highlighted the need for sustained multi-disciplinary care for COVID-19 survivors. Funding Health Bureau, The Government of the Hong Kong Special Administrative Region, Collaborative Research Fund, The Government of the Hong Kong Special Administrative Region and AIR@InnoHK, administered by the Innovation and Technology Commission, The Government of the Hong Kong Special Administrative Region.
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Affiliation(s)
- Ivan Chun Hang Lam
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Carlos King Ho Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Ran Zhang
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong SAR, Hong Kong, China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Francisco Tsz Tsun Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Department of Medicine, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
- The University of Hong Kong Shenzhen Institute of Research and Innovation, Hong Kong SAR, China
| | - Hao Luo
- Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong SAR, China
- The Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong SAR, China
- Sau Po Centre on Ageing, The University of Hong Kong, Hong Kong, China
| | - Qingpeng Zhang
- School of Data Science, City University of Hong Kong, Hong Kong SAR, China
| | - Kenneth Keng Cheung Man
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Research Department of Practice and Policy, School of Pharmacy, University College London, United Kingdom
- Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Bernard Man Yung Cheung
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Research Centre of Heart, Brain, Hormone and Healthy Aging, The University of Hong Kong, Queen Mary Hospital, Pok Fu Lam, Hong Kong, China
| | - Sydney Chi Wai Tang
- Division of Nephrology, Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Chak Sing Lau
- Division of Rheumatology and Clinical Immunology, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Eric Yuk Fai Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Ian Chi Kei Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Aston Pharmacy School, Aston University, Birmingham, United Kingdom
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22
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Law M, Ho SS, Tsang GK, Ho CM, Kwan CM, Yan VKC, Yiu HHE, Lai FTT, Wong ICK, Chan EWY. Efficacy and effectiveness of inactivated vaccines against symptomatic COVID-19, severe COVID-19, and COVID-19 clinical outcomes in the general population: a systematic review and meta-analysis. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2023; 37:100788. [PMID: 37360863 PMCID: PMC10199328 DOI: 10.1016/j.lanwpc.2023.100788] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 04/04/2023] [Accepted: 04/26/2023] [Indexed: 06/28/2023]
Abstract
Background Inactivated, whole-virion vaccines have been used extensively in the SARS-CoV-2 pandemic. Its efficacy and effectiveness across regions have not been systematically evaluated. Efficacy refers to how well a vaccine performs in a controlled environment. Effectiveness refers to how well it performs in real world settings. Methods This systematic review and meta-analysis reviewed published, peer-reviewed evidence on all WHO-approved inactivated vaccines and evaluated their efficacy and effectiveness against SARS-CoV-2 infection, symptomatic infection, severe clinical outcomes, and severe COVID-19. We searched Pubmed (including MEDLINE), EMBASE (via OVID), Web of Science Core Collection, Web of Science Chinese Science Citation Database, and Clinicaltrials.gov. Findings The final pool included 28 studies representing over 32 million individuals reporting efficacy or effectiveness estimates of complete vaccination using any approved inactivated vaccine between January 1, 2019 and June 27, 2022. Evidence was found for efficacy and effectiveness against symptomatic infection (OR 0.21, 95% CI 0.16-0.27, I2 = 28% and OR 0.32, 95% CI 0.16-0.64, I2 = 98%, respectively) and infection (OR 0.53, 95% CI 0.49-0.57, I2 = 90% and OR 0.31, 95% CI 0.24-0.41, I2 = 0%, respectively) for early SARS-CoV-2 variants of concern (VoCs) (Alpha, Delta), and for waning of vaccine effectiveness with more recent VoCs (Gamma, Omicron). Effectiveness remained robust against COVID-related ICU admission (OR 0.21, 95% CI 0.04-1.08, I2 = 99%) and death (OR 0.08, 95% CI 0.00-2.02, I2 = 96%), although effectiveness estimates against hospitalization (OR 0.44, 95% CI 0.37-0.53, I2 = 0%) were inconsistent. Interpretation This study showed evidence of efficacy and effectiveness of inactivated vaccines for all outcomes, although inconsistent reporting of key study parameters, high heterogeneity of observational studies, and the small number of studies of particular designs for most outcomes undermined the reliability of the findings. Findings highlight the need for additional research to address these limitations so that more definitive conclusions can be drawn to inform SARS-CoV-2 vaccine development and vaccination policies. Funding Health and Medical Research Fund on COVID-19, Health Bureau of the Government of the Hong Kong SAR.
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Affiliation(s)
- Martin Law
- Li Ka Shing Faculty of Medicine, Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong SAR, China
| | - Sam S.H. Ho
- Li Ka Shing Faculty of Medicine, Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong SAR, China
| | - Gigi K.C. Tsang
- Li Ka Shing Faculty of Medicine, Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong SAR, China
| | - Clarissa M.Y. Ho
- Li Ka Shing Faculty of Medicine, Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong SAR, China
| | - Christine M. Kwan
- Li Ka Shing Faculty of Medicine, Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Sau Po Centre on Ageing, The University of Hong Kong, Hong Kong SAR, China
| | - Vincent Ka Chun Yan
- Li Ka Shing Faculty of Medicine, Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong SAR, China
| | - Hei Hang Edmund Yiu
- Li Ka Shing Faculty of Medicine, Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong SAR, China
| | - Francisco Tsz Tsun Lai
- Li Ka Shing Faculty of Medicine, Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
| | - Ian Chi Kei Wong
- Li Ka Shing Faculty of Medicine, Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Research Department of Practice and Policy, UCL School of Pharmacy, London, United Kingdom
- Aston Pharmacy School, Aston University, Birmingham, United Kingdom
| | - Esther Wai Yin Chan
- Li Ka Shing Faculty of Medicine, Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Department of Pharmacy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
- The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, China
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23
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Ye X, Yan VKC, Yiu HHE, Shami JJP, Kang W, Ma T, Qin X, Chui CSL, Lai FTT, Li X, Wan EYF, Wong CKH, Wong ICK, Chan EW. BNT162b2 or CoronaVac Vaccinations Are Associated With a Lower Risk of Myocardial Infarction and Stroke After SARS-CoV-2 Infection Among Patients With Cardiovascular Disease. J Am Heart Assoc 2023; 12:e029291. [PMID: 37119083 PMCID: PMC10227224 DOI: 10.1161/jaha.122.029291] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 03/24/2023] [Indexed: 04/30/2023]
Abstract
Background COVID-19 vaccines have demonstrated effectiveness against SARS-CoV-2 infection, hospitalization, and mortality. The association between vaccination and risk of cardiovascular complications shortly after SARS-CoV-2 infection among patients with cardiovascular disease remains unknown. Methods and Results A case-control study was conducted with cases defined as patients who had myocardial infarction or stroke within 28 days after SARS-CoV-2 infection between January 1, 2022 and August 15, 2022. Controls were defined as all other patients who attended any health services and were not cases. Individuals without history of cardiovascular disease were excluded. Each case was randomly matched with 10 controls according to sex, age, Charlson comorbidity index, and date of hospital admission. Adjusted odds ratio with 95% CI was estimated using conditional logistic regression. We identified 808 cases matched with 7771 controls among all patients with cardiovascular disease. Results showed that vaccination with BNT162b2 or CoronaVac was associated with a lower risk of myocardial infarction or stroke after SARS-CoV-2 infection with a dose-response relationship. For BNT162b2, risk decreased from 0.49 (95% CI, 0.29-0.84) to 0.30 (95% CI, 0.20-0.44) and 0.17 (95% CI, 0.08-0.34) from 1 to 3 doses, respectively. Similar trends were observed for CoronaVac, with risk decreased from 0.69 (95% CI, 0.57-0.85) to 0.42 (95% CI, 0.34-0.52) and 0.32 (95% CI, 0.21-0.49) from 1 to 3 doses, respectively. Conclusions Vaccination with BNT162b2 or CoronaVac is associated with a lower risk of myocardial infarction or stroke after SARS-CoV-2 infection among patients with cardiovascular disease.
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Affiliation(s)
- Xuxiao Ye
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of MedicineThe University of Hong KongHong Kong SARChina
| | - Vincent K. C. Yan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of MedicineThe University of Hong KongHong Kong SARChina
| | - Hei Hang Edmund Yiu
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of MedicineThe University of Hong KongHong Kong SARChina
| | - Jessica J. P. Shami
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of MedicineThe University of Hong KongHong Kong SARChina
| | - Wei Kang
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of MedicineThe University of Hong KongHong Kong SARChina
| | - Tiantian Ma
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of MedicineThe University of Hong KongHong Kong SARChina
- Laboratory of Data Discovery for Health (D24H)Hong Kong SARChina
| | - Xiwen Qin
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of MedicineThe University of Hong KongHong Kong SARChina
- Laboratory of Data Discovery for Health (D24H)Hong Kong SARChina
| | - Celine S. L. Chui
- Laboratory of Data Discovery for Health (D24H)Hong Kong SARChina
- School of Nursing, LKS Faculty of MedicineThe University of Hong KongHong Kong SARChina
- School of Public Health, LKS Faculty of MedicineThe University of Hong KongHong Kong SARChina
| | - Francisco T. T. Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of MedicineThe University of Hong KongHong Kong SARChina
- Laboratory of Data Discovery for Health (D24H)Hong Kong SARChina
| | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of MedicineThe University of Hong KongHong Kong SARChina
- Laboratory of Data Discovery for Health (D24H)Hong Kong SARChina
- Department of Medicine, School of Clinical Medicine, LKS Faculty of MedicineThe University of Hong KongHong Kong SARChina
| | - Eric Y. F. Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of MedicineThe University of Hong KongHong Kong SARChina
- Laboratory of Data Discovery for Health (D24H)Hong Kong SARChina
- Department of Family Medicine and Primary Care, School of Clinical Medicine, LKS Faculty of MedicineThe University of Hong KongHong Kong SARChina
| | - Carlos K. H. Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of MedicineThe University of Hong KongHong Kong SARChina
- Laboratory of Data Discovery for Health (D24H)Hong Kong SARChina
- Department of Family Medicine and Primary Care, School of Clinical Medicine, LKS Faculty of MedicineThe University of Hong KongHong Kong SARChina
| | - Ian C. K. Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of MedicineThe University of Hong KongHong Kong SARChina
- Laboratory of Data Discovery for Health (D24H)Hong Kong SARChina
- Research Department of Practice and Policy, School of PharmacyUniversity College LondonLondonUnited Kingdom
- Aston Pharmacy SchoolAston UniversityBirminghamUnited Kingdom
| | - Esther W. Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of MedicineThe University of Hong KongHong Kong SARChina
- Laboratory of Data Discovery for Health (D24H)Hong Kong SARChina
- Department of PharmacyThe University of Hong Kong‐Shenzhen HospitalShenzhenChina
- The University of Hong Kong Shenzhen Institute of Research and InnovationShenzhenChina
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24
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Huang C, Wei Y, Yan VKC, Ye X, Kang W, Yiu HHE, Shami JJP, Cowling BJ, Tse ML, Castle DJ, Chui CSL, Lai FTT, Li X, Wan EYF, Wong CKH, Hayes JF, Chang WC, Chung AKK, Lau CS, Wong ICK, Chan EW. Vaccine effectiveness of BNT162b2 and CoronaVac against SARS-CoV-2 omicron infection and related hospital admission among people with substance use disorder in Hong Kong: a matched case-control study. Lancet Psychiatry 2023; 10:403-413. [PMID: 37141907 DOI: 10.1016/s2215-0366(23)00111-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 03/15/2023] [Accepted: 03/20/2023] [Indexed: 05/06/2023]
Abstract
BACKGROUND People with substance use disorder have a high risk of SARS-CoV-2 infection and subsequent poor outcomes. Few studies have evaluated COVID-19 vaccine effectiveness among people with substance use disorder. We aimed to estimate the vaccine effectiveness of BNT162b2 (Fosun-BioNTech) and CoronaVac (Sinovac) against SARS-CoV-2 omicron (B.1.1.529) infection and related hospital admission in this population. METHODS We did a matched case-control study using electronic health databases in Hong Kong. Individuals diagnosed with substance use disorder between Jan 1, 2016, and Jan 1, 2022, were identified. People aged 18 years and older with SARS-CoV-2 infection from Jan 1 to May 31, 2022, and people with COVID-19-related hospital admission from Feb 16 to May 31, 2022, were included as cases and were matched by age, sex, and previous clinical history with controls from all individuals diagnosed with substance use disorder who attended the Hospital Authority health services: up to three controls for SARS-CoV-2 infection and up to ten controls for hospital admission. Conditional logistical regression was used to evaluate the association between vaccination status (ie, one, two, or three doses of BNT162b2 or CoronaVac) and the risk of SARS-CoV-2 infection and COVID-19-related hospital admission, adjusted for baseline comorbidities and medication use. FINDINGS Among 57 674 individuals with substance use disorder, 9523 people with SARS-CoV-2 infections (mean age 61·00 years, SD 14·90; 8075 [84·8%] males and 1448 [15·2%] females) were identified and matched to 28 217 controls (mean age 60·99 years, 14·67; 24 006 [85·1%] males and 4211 [14·9%] females), and 843 people with COVID-19-related hospital admissions (mean age 70·48 years, SD 14·68; 754 [89·4%] males and 89 [10·6%] females) were identified and matched to 7459 controls (mean age 70·24 years, 13·87; 6837 [91·7%] males and 622 [8·3%] females). Data on ethnicity were not available. We observed significant vaccine effectiveness against SARS-CoV-2 infection for two-dose BNT162b2 vaccination (20·7%, 95% CI 14·0-27·0, p<0·0001) and three-dose vaccination (all BNT162b2 41·5%, 34·4-47·8, p<0·0001; all CoronaVac 13·6%, 5·4-21·0, p=0·0015; BNT162b2 booster after two-dose CoronaVac 31·3%, 19·8-41·1, p<0·0001), but not for one dose of either vaccine or two doses of CoronaVac. Significant vaccine effectiveness against COVID-19-related hospital admission was detected after one dose of BNT162b2 vaccination (35·7%, 3·8-57·1, p=0·032), two-dose vaccination (both BNT162b2 73·3%, 64·3 to 80·0, p<0·0001; both CoronaVac 59·9%, 50·2-67·7, p<0·0001), and three-dose vaccination (all BNT162b2 86·3%, 75·6-92·3, p<0·0001; all CoronaVac 73·5% 61·0-81·9, p<0·0001; BNT162b2 booster after two-dose CoronaVac 83·7%, 64·6-92·5, p<0·0001), but not after one dose of CoronaVac. INTERPRETATION For both BNT162b2 and CoronaVac, two-dose or three-dose vaccination was protective against COVID-19-related hospital admission and the booster dose provided protection against SARS-CoV-2 infection among people with substance use disorder. Our findings confirm the importance of booster doses in this population during the period dominated by the omicron variant. FUNDING Health Bureau, the Government of the Hong Kong Special Administrative Region.
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Affiliation(s)
- Caige Huang
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Yue Wei
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Vincent K C Yan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Xuxiao Ye
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Wei Kang
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Hei Hang Edmund Yiu
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Jessica J P Shami
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Benjamin J Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, University of Hong Kong, Hong Kong Special Administrative Region, China; School of Public Health, University of Hong Kong, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Man Li Tse
- Hong Kong Poison Information Centre, United Christian Hospital, Hong Kong Special Administrative Region, China
| | - David J Castle
- Centre for Addiction and Mental Health and Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Celine S L Chui
- School of Public Health, University of Hong Kong, Hong Kong Special Administrative Region, China; School of Nursing, University of Hong Kong, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Francisco T T Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, University of Hong Kong, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, University of Hong Kong, Hong Kong Special Administrative Region, China; Department of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Eric Y F Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, University of Hong Kong, Hong Kong Special Administrative Region, China; Department of Family Medicine and Primary Care, University of Hong Kong, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Carlos K H Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, University of Hong Kong, Hong Kong Special Administrative Region, China; Department of Family Medicine and Primary Care, University of Hong Kong, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Joseph F Hayes
- Division of Psychiatry, University College London, London, UK
| | - Wing Chung Chang
- School of Clinical Medicine, Li Ka Shing Faculty of Medicine, Department of Psychiatry, Queen Mary Hospital, University of Hong Kong, Hong Kong Special Administrative Region, China; State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Albert K K Chung
- School of Clinical Medicine, Li Ka Shing Faculty of Medicine, Department of Psychiatry, Queen Mary Hospital, University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Chak Sing Lau
- Department of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Ian C K Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, University of Hong Kong, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China; Aston School of Pharmacy, Aston University, Birmingham, UK; Expert Committee on Clinical Events Assessment Following COVID-19 Immunization, Department of Health, The Government of the Hong Kong SAR, Hong Kong Special Administrative Region, China
| | - Esther W Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, University of Hong Kong, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China; Department of Pharmacy, Shenzhen Hospital and Shenzhen Institute of Research and Innovation, University of Hong Kong, Shenzhen, China.
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25
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Amemiya Y, Li T, Nishiura H. Age-dependent final size equation to anticipate mortality impact of COVID-19 in China. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2023; 20:11353-11366. [PMID: 37322985 DOI: 10.3934/mbe.2023503] [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: 06/17/2023]
Abstract
Before reopening society in December 2022, China had not achieved sufficiently high vaccination coverage among people aged 80 years and older, who are vulnerable to severe infection and death owing to COVID-19. Suddenly ending the zero-COVID policy was anticipated to lead to substantial mortality. To investigate the mortality impact of COVID-19, we devised an age-dependent transmission model to derive a final size equation, permitting calculation of the expected cumulative incidence. Using an age-specific contact matrix and published estimates of vaccine effectiveness, final size was computed as a function of the basic reproduction number, R0. We also examined hypothetical scenarios in which third-dose vaccination coverage was increased in advance of the epidemic, and also in which mRNA vaccine was used instead of inactivated vaccines. Without additional vaccination, the final size model indicated that a total of 1.4 million deaths (half of which were among people aged 80 years and older) were anticipated with an assumed R0 of 3.4. A 10% increase in third-dose coverage would prevent 30,948, 24,106, and 16,367 deaths, with an assumed second-dose effectiveness of 0%, 10%, and 20%, respectively. With mRNA vaccine, the mortality impact would have been reduced to 1.1 million deaths. The experience of reopening in China indicates the critical importance of balancing pharmaceutical and non-pharmaceutical interventions. Ensuring sufficiently high vaccination coverage is vital in advance of policy changes.
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Affiliation(s)
- Yuri Amemiya
- Kyoto University School of Public Health, Yoshida-Konoe-cho, Sakyo-ku, Kyoto 606-8501, Japan
| | - Tianwen Li
- Kyoto University School of Public Health, Yoshida-Konoe-cho, Sakyo-ku, Kyoto 606-8501, Japan
| | - Hiroshi Nishiura
- Kyoto University School of Public Health, Yoshida-Konoe-cho, Sakyo-ku, Kyoto 606-8501, Japan
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26
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Xu S, Li J, Wang H, Wang F, Yin Z, Wang Z. Real-world effectiveness and factors associated with effectiveness of inactivated SARS-CoV-2 vaccines: a systematic review and meta-regression analysis. BMC Med 2023; 21:160. [PMID: 37106390 PMCID: PMC10134725 DOI: 10.1186/s12916-023-02861-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 04/04/2023] [Indexed: 04/29/2023] Open
Abstract
BACKGROUND The two inactivated SARS-CoV-2 vaccines, CoronaVac and BBIBP-CorV, have been widely used to control the COVID-19 pandemic. The influence of multiple factors on inactivated vaccine effectiveness (VE) during long-term use and against variants is not well understood. METHODS We selected published or preprinted articles from PubMed, Embase, Scopus, Web of Science, medRxiv, BioRxiv, and the WHO COVID-19 database by 31 August 2022. We included observational studies that assessed the VE of completed primary series or homologous booster against SARS-CoV-2 infection or severe COVID-19. We used DerSimonian and Laird random-effects models to calculate pooled estimates and conducted multiple meta-regression with an information theoretic approach based on Akaike's Information Criterion to select the model and identify the factors associated with VE. RESULTS Fifty-one eligible studies with 151 estimates were included. For prevention of infection, VE associated with study region, variants, and time since vaccination; VE was significantly decreased against Omicron compared to Alpha (P = 0.021), primary series VE was 52.8% (95% CI, 43.3 to 60.7%) against Delta and 16.4% (95% CI, 9.5 to 22.8%) against Omicron, and booster dose VE was 65.2% (95% CI, 48.3 to 76.6%) against Delta and 20.3% (95% CI, 10.5 to 28.0%) against Omicron; primary VE decreased significantly after 180 days (P = 0.022). For the prevention of severe COVID-19, VE associated with vaccine doses, age, study region, variants, study design, and study population type; booster VE increased significantly (P = 0.001) compared to primary; though VE decreased significantly against Gamma (P = 0.034), Delta (P = 0.001), and Omicron (P = 0.001) compared to Alpha, primary and booster VEs were all above 60% against each variant. CONCLUSIONS Inactivated vaccine protection against SARS-CoV-2 infection was moderate, decreased significantly after 6 months following primary vaccination, and was restored by booster vaccination. VE against severe COVID-19 was greatest after boosting and did not decrease over time, sustained for over 6 months after the primary series, and more evidence is needed to assess the duration of booster VE. VE varied by variants, most notably against Omicron. It is necessary to ensure booster vaccination of everyone eligible for SARS-CoV-2 vaccines and continue monitoring virus evolution and VE. TRIAL REGISTRATION PROSPERO, CRD42022353272.
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Affiliation(s)
- Shiyao Xu
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China
| | - Jincheng Li
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China
| | - Hongyuan Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Fuzhen Wang
- Chinese Center for Disease Control and Prevention, National Immunization Programme, Beijing, China
| | - Zundong Yin
- Chinese Center for Disease Control and Prevention, National Immunization Programme, Beijing, China.
| | - Zhifeng Wang
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China.
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27
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Wan EYF, Yan VKC, Mok AHY, Wang B, Xu W, Cheng FWT, Lai FTT, Chui CSL, Li X, Wong CKH, Li PH, Cowling BJ, Hung IFN, Lau CS, Wong ICK, Chan EWY. Effectiveness of Molnupiravir and Nirmatrelvir-Ritonavir in Hospitalized Patients With COVID-19 : A Target Trial Emulation Study. Ann Intern Med 2023; 176:505-514. [PMID: 36913693 PMCID: PMC10052319 DOI: 10.7326/m22-3057] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/15/2023] Open
Abstract
BACKGROUND Whether hospitalized patients benefit from COVID-19 oral antivirals is uncertain. OBJECTIVE To examine the real-world effectiveness of molnupiravir and nirmatrelvir-ritonavir in hospitalized patients with COVID-19 during the Omicron outbreak. DESIGN Target trial emulation study. SETTING Electronic health databases in Hong Kong. PARTICIPANTS The molnupiravir emulated trial included hospitalized patients with COVID-19 aged 18 years or older between 26 February and 18 July 2022 (n = 16 495). The nirmatrelvir-ritonavir emulated trial included hospitalized patients with COVID-19 aged 18 years or older between 16 March and 18 July 2022 (n = 7119). INTERVENTION Initiation of molnupiravir or nirmatrelvir-ritonavir within 5 days of hospitalization with COVID-19 versus no initiation of molnupiravir or nirmatrelvir-ritonavir. MEASUREMENTS Effectiveness against all-cause mortality, intensive care unit (ICU) admission, or use of ventilatory support within 28 days. RESULTS The use of oral antivirals in hospitalized patients with COVID-19 was associated with a lower risk for all-cause mortality (molnupiravir: hazard ratio [HR], 0.87 [95% CI, 0.81 to 0.93]; nirmatrelvir-ritonavir: HR, 0.77 [CI, 0.66 to 0.90]) but no significant risk reduction in terms of ICU admission (molnupiravir: HR, 1.02 [CI, 0.76 to 1.36]; nirmatrelvir-ritonavir: HR, 1.08 [CI, 0.58 to 2.02]) or the need for ventilatory support (molnupiravir: HR, 1.07 [CI, 0.89 to 1.30]; nirmatrelvir-ritonavir: HR, 1.03 [CI, 0.70 to 1.52]). There was no significant interaction between drug treatment and the number of COVID-19 vaccine doses received, thereby supporting the effectiveness of oral antivirals regardless of vaccination status. No significant interaction between nirmatrelvir-ritonavir treatment and age, sex, or Charlson Comorbidity Index was observed, whereas molnupiravir tended to be more effective in older people. LIMITATION The outcome of ICU admission or need for ventilatory support may not capture all severe COVID-19 cases; unmeasured confounders, such as obesity and health behaviors, may exist. CONCLUSION Molnupiravir and nirmatrelvir-ritonavir reduced all-cause mortality in both vaccinated and unvaccinated hospitalized patients. No significant reduction in ICU admission or the need for ventilatory support was observed. PRIMARY FUNDING SOURCE Health and Medical Research Fund Research on COVID-19, Government of the Hong Kong Special Administrative Region; Research Grants Council, Collaborative Research Fund; and Health Bureau, Government of the Hong Kong Special Administrative Region.
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Affiliation(s)
- Eric Yuk Fai Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, and Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (E.Y.F.W., C.K.H.W.)
| | - Vincent Ka Chun Yan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (V.K.C.Y., F.W.T.C.)
| | - Anna Hoi Ying Mok
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (A.H.Y.M., B.W., W.X.)
| | - Boyuan Wang
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (A.H.Y.M., B.W., W.X.)
| | - Wanchun Xu
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (A.H.Y.M., B.W., W.X.)
| | - Franco Wing Tak Cheng
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (V.K.C.Y., F.W.T.C.)
| | - Francisco Tsz Tsun Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, and Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China (F.T.T.L.)
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, and School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (C.S.L.C.)
| | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, and Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (X.L.)
| | - Carlos King Ho Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, and Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (E.Y.F.W., C.K.H.W.)
| | - Philip Hei Li
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (P.H.L., I.F.N.H., C.S.L.)
| | - Benjamin John Cowling
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, and WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (B.J.C.)
| | - Ivan Fan Ngai Hung
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (P.H.L., I.F.N.H., C.S.L.)
| | - Chak Sing Lau
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (P.H.L., I.F.N.H., C.S.L.)
| | - Ian Chi Kei Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, and Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China, Research Department of Practice and Policy, School of Pharmacy, University College London, London, United Kingdom, and Aston Pharmacy School, Aston University, Birmingham, United Kingdom (I.C.K.W.)
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, and Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China, and Department of Pharmacy, The University of Hong Kong-Shenzhen Hospital, and The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, China (E.W.Y.C.)
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28
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Tong R, Luo L, Zhao Y, Sun M, Li R, Zhong J, Chen Y, Hu L, Li Z, Shi J, Lyu Y, Hu L, Guo X, Liu Q, Shuang T, Zhang C, Yuan A, Sun L, Zhang Z, Qian K, Chen L, Lin W, Chen AF, Wang F, Pu J. Characterizing the cellular and molecular variabilities of peripheral immune cells in healthy recipients of BBIBP-CorV inactivated SARS-CoV-2 vaccine by single-cell RNA sequencing. Emerg Microbes Infect 2023; 12:e2187245. [PMID: 36987861 PMCID: PMC10171127 DOI: 10.1080/22221751.2023.2187245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
Abstract
Over 3 billion doses of inactivated vaccines for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been administered globally. However, our understanding of the immune cell functional transcription and T cell receptor (TCR)/B cell receptor (BCR) repertoire dynamics following inactivated SARS-CoV-2 vaccination remains poorly understood. Here, we performed single-cell RNA and TCR/BCR sequencing on peripheral blood mononuclear cells at four time points after immunization with the inactivated SARS-CoV-2 vaccine BBIBP-CorV. Our analysis revealed an enrichment of monocytes, central memory CD4+ T cells, type 2 helper T cells and memory B cells following vaccination. Single-cell TCR-seq and RNA-seq comminating analysis identified a clonal expansion of CD4+ T cells (but not CD8+ T cells) following a booster vaccination that corresponded to a decrease in the TCR diversity of central memory CD4+ T cells and type 2 helper T cells. Importantly, these TCR repertoire changes and CD4+ T cell differentiation were correlated with the biased VJ gene usage of BCR and the antibody-producing function of B cells post-vaccination. Finally, we compared the functional transcription and repertoire dynamics in immune cells elicited by vaccination and SARS-CoV-2 infection to explore the immune responses under different stimuli. Our data provide novel molecular and cellular evidence for the CD4+ T cell-dependent antibody response induced by inactivated vaccine BBIBP-CorV. This information is urgently needed to develop new prevention and control strategies for SARS-CoV-2 infection. (ClinicalTrials.gov Identifier: NCT04871932).Trial registration: ClinicalTrials.gov identifier: NCT04871932..
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29
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He X, He C, Hong W, Yang J, Wei X. Research progress in spike mutations of SARS-CoV-2 variants and vaccine development. Med Res Rev 2023. [PMID: 36929527 DOI: 10.1002/med.21941] [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: 12/19/2021] [Revised: 09/27/2022] [Accepted: 02/26/2023] [Indexed: 03/18/2023]
Abstract
The coronavirus disease 2019 (COVID-19) pandemic can hardly end with the emergence of different variants over time. In the past 2 years, several variants of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), such as the Delta and Omicron variants, have emerged with higher transmissibility, immune evasion and drug resistance, leading to higher morbidity and mortality in the population. The prevalent variants of concern (VOCs) share several mutations on the spike that can affect virus characteristics, including transmissibility, antigenicity, and immune evasion. Increasing evidence has demonstrated that the neutralization capacity of sera from COVID-19 convalescent or vaccinated individuals is decreased against SARS-CoV-2 variants. Moreover, the vaccine effectiveness of current COVID-19 vaccines against SARS-CoV-2 VOCs is not as high as that against wild-type SARS-CoV-2. Therefore, more attention might be paid to how the mutations impact vaccine effectiveness. In this review, we summarized the current studies on the mutations of the SARS-CoV-2 spike, particularly of the receptor binding domain, to elaborate on how the mutations impact the infectivity, transmissibility and immune evasion of the virus. The effects of mutations in the SARS-CoV-2 spike on the current therapeutics were highlighted, and potential strategies for future vaccine development were suggested.
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Affiliation(s)
- Xuemei He
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Cai He
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Weiqi Hong
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jingyun Yang
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xiawei Wei
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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30
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Wan EYF, Wang B, Mathur S, Chan CIY, Yan VKC, Lai FTT, Chui CSL, Li X, Wong CKH, Li PH, Lau CS, Wong ICK, Chan EWY. Molnupiravir and nirmatrelvir-ritonavir reduce mortality risk during post-acute COVID-19 phase. J Infect 2023; 86:622-625. [PMID: 36822409 PMCID: PMC9943556 DOI: 10.1016/j.jinf.2023.02.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 02/18/2023] [Indexed: 02/23/2023]
Affiliation(s)
- Eric Yuk Fai Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China; Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Boyuan Wang
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Sukriti Mathur
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Cheyenne I Ying Chan
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Vincent Ka Chun Yan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Francisco Tsz Tsun Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China; School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China; Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Carlos King Ho Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China; Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Philip Hei Li
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Chak Sing Lau
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Ian Chi Kei Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China; Department of Pharmacy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China; Aston Pharmacy School, Aston University, Birmingham B4 7ET, UK.
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong, China; Department of Pharmacy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China; The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, China.
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31
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Filardi BA, Monteiro VS, Schwartzmann PV, do Prado Martins V, Zucca LER, Baiocchi GC, Malik AA, Silva J, Hahn AM, Chen NFG, Pham K, Pérez-Then E, Miric M, Brache V, Cochon L, Larocca RA, Mendez RDR, Bardini Silveira D, Pinto AR, Croda J, Yildirim I, Omer SB, Ko AI, Vermund SH, Grubaugh ND, Iwasaki A, Lucas C, Vogels CBF, Breban M, Koch TR, Chaguza C, Tikhonova I, Castaldi C, Mane S, De Kumar B, Ferguson D, Kerantzas N, Peaper D, Landry ML, Schulz W. Age-dependent impairment in antibody responses elicited by a homologous CoronaVac booster dose. Sci Transl Med 2023; 15:eade6023. [PMID: 36791210 DOI: 10.1126/scitranslmed.ade6023] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
The emergence of the SARS-CoV-2 Omicron sublineages resulted in increased transmission rates and reduced protection from vaccines. To counteract these effects, multiple booster strategies were used in different countries, although data comparing their efficiency in improving protective immunity remain sparse, especially among vulnerable populations, including older adults. The inactivated CoronaVac vaccine was among the most widely distributed vaccine worldwide and was essential in the early control of SARS-CoV-2-related hospitalizations and deaths. However, it is not well understood whether homologous versus heterologous booster doses in those fully vaccinated with CoronaVac induce distinct humoral responses or whether these responses vary across age groups. We analyzed plasma antibody responses from CoronaVac-vaccinated younger or older individuals who received a homologous CoronaVac or heterologous BNT162b2 or ChAdOx1 booster vaccine. All three evaluated boosters resulted in increased virus-specific IgG titers 28 days after the booster dose. However, we found that both IgG titers against SARS-CoV-2 Spike or RBD and neutralization titers against Omicron sublineages were substantially reduced in participants who received homologous CoronaVac compared with the heterologous BNT162b2 or ChAdOx1 booster. This effect was specifically prominent in recipients >50 years of age. In this group, the CoronaVac booster induced low virus-specific IgG titers and failed to elevate neutralization titers against any Omicron sublineage. Our results point to the notable inefficiency of CoronaVac immunization and boosting in mounting protective antiviral humoral immunity, particularly among older adults, during the Omicron wave. These observations also point to benefits of heterologous regimens in high-risk populations fully vaccinated with CoronaVac.
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Affiliation(s)
- Bruno Andraus Filardi
- Instituto do Cancer Brasil - Unidade de Ribeirão Preto, São Paulo, São Paulo, Brazil.,Department of Genetics, Ribeirão Preto Medical School, University of São Paulo, São Paulo, São Paulo, Brazil
| | | | - Pedro Vellosa Schwartzmann
- Intensive Cardiac Unit, Hospital Unimed Ribeirão Preto, Ribeirão Preto, São Paulo, Brazil.,Advanced Research Center - CAPED, Centro Médico Ribeirão Shopping, Ribeirão Preto, São Paulo, Brazil
| | | | | | - Gabriela Crispim Baiocchi
- Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, São Paulo, Brazil
| | - Amyn A Malik
- Yale Institute for Global Health, Yale University, New Haven, CT, USA.,Department of Medicine, Section of Infectious Diseases, Yale University School of Medicine, New Haven, CT, USA
| | - Julio Silva
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA
| | - Anne M Hahn
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Nicholas F G Chen
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Kien Pham
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
| | - Eddy Pérez-Then
- Ministry of Health, Santo Domingo, Dominican Republic.,Two Oceans in Health, Santo Domingo, Dominican Republic
| | - Marija Miric
- Two Oceans in Health, Santo Domingo, Dominican Republic
| | - Vivian Brache
- Profamilia, Biomedical Research Department, Santo Domingo, Dominican Republic
| | - Leila Cochon
- Intensive Cardiac Unit, Hospital Unimed Ribeirão Preto, Ribeirão Preto, São Paulo, Brazil
| | - Rafael A Larocca
- Center of Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | | | - Douglas Bardini Silveira
- Laboratório de Imunologia Aplicada, Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil
| | - Aguinaldo Roberto Pinto
- Laboratório de Imunologia Aplicada, Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil
| | - Julio Croda
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.,Oswaldo Cruz Foundation Mato Grosso do Sul, Campo Grande, Brazil.,Federal University of Mato Grosso do Sul, Campo Grande, Brazil
| | - Inci Yildirim
- Yale Institute for Global Health, Yale University, New Haven, CT, USA.,Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.,Department of Pediatric, Section of Infectious Diseases and Global Health, Yale University School of Medicine, New Haven, CT, USA
| | - Saad B Omer
- Yale Institute for Global Health, Yale University, New Haven, CT, USA.,Department of Medicine, Section of Infectious Diseases, Yale University School of Medicine, New Haven, CT, USA.,Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Albert I Ko
- Department of Medicine, Section of Infectious Diseases, Yale University School of Medicine, New Haven, CT, USA.,Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.,Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, BA, Brazil
| | - Sten H Vermund
- Department of Pediatric, Section of Infectious Diseases and Global Health, Yale University School of Medicine, New Haven, CT, USA.,Yale School of Public Health, New Haven, CT, USA
| | - Nathan D Grubaugh
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.,Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA
| | - Akiko Iwasaki
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.,Center for Infection and Immunity, Yale University, New Haven, CT, USA.,Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Carolina Lucas
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.,Center for Infection and Immunity, Yale University, New Haven, CT, USA
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Lai FTT, Yan VKC, Ye X, Ma T, Qin X, Chui CSL, Li X, Wan EYF, Wong CKH, Cheung CL, Li PH, Cheung BMY, Lau CS, Wong ICK, Chan EWY. Booster vaccination with inactivated whole-virus or mRNA vaccines and COVID-19-related deaths among people with multimorbidity: a cohort study. CMAJ 2023; 195:E143-E152. [PMID: 36717123 PMCID: PMC9888544 DOI: 10.1503/cmaj.221068] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/24/2022] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Multimorbidity is a prevalent risk factor for COVID-19-related complications and death. We sought to evaluate the association of homologous booster vaccination using BNT162b2 (Pfizer-BioNTech) or CoronaVac (Sinovac) with COVID-19-related deaths among people with multimorbidity during the initial Omicron wave of the COVID-19 pandemic. METHODS Using routine clinical records from public health care facilities in Hong Kong, we conducted a territory-wide retrospective cohort study comparing people aged 18 years or older with 2 or more chronic conditions who received a homologous booster (third) dose with those who received only 2 doses, between Nov. 11, 2021, and Mar. 31, 2022. The primary outcome was death related to COVID-19. RESULTS We included 120 724 BNT162b2 recipients (including 87 289 who received a booster), followed for a median of 34 (interquartile range [IQR] 20-63) days and 127 318 CoronaVac recipients (including 94 977 who received a booster), followed for a median of 38 (IQR 22-77) days. Among BNT162b2 recipients, booster-vaccinated people had fewer COVID-19-related deaths than those who received 2 doses (5 v. 34, incidence rate 1.3 v. 23.4 per million person-days, weighted incidence rate ratio [IRR] 0.05, 95% confidence interval [CI] 0.02-0.16). We observed similar results among recipients of CoronaVac booster vaccination compared with those who received only 2 doses (26 v. 88, incidence rate 5.3 v. 53.1 per million person-days, weighted IRR 0.08, 95% CI 0.05-0.12). INTERPRETATION Among people with multimorbidity, booster vaccination with BNT162b2 or CoronaVac was associated with reductions of more than 90% in COVID-19-related mortality rates compared with only 2 doses. These results highlight the crucial role of booster vaccination for protecting vulnerable populations as the COVID-19 pandemic continues to evolve.
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Affiliation(s)
- Francisco Tsz Tsun Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy (Lai, Yan, Ye, Ma, Qin, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Li Ka Shing Faculty of Medicine, The University of Hong Kong; Laboratory of Data Discovery for Health (Lai, Ma, Chui, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Hong Kong Science and Technology Park; School of Nursing (Chui) and of Public Health (Chui) and Departments of Medicine (X. Li, P.H. Li, B.M.U. Cheung, Lau) and of Family Medicine and Primary Care, School of Clinical Medicine (Wan, C.K.H. Wong), Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Aston Pharmacy School (I.C.K. Wong), Aston University, Birmingham, UK
| | - Vincent Ka Chun Yan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy (Lai, Yan, Ye, Ma, Qin, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Li Ka Shing Faculty of Medicine, The University of Hong Kong; Laboratory of Data Discovery for Health (Lai, Ma, Chui, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Hong Kong Science and Technology Park; School of Nursing (Chui) and of Public Health (Chui) and Departments of Medicine (X. Li, P.H. Li, B.M.U. Cheung, Lau) and of Family Medicine and Primary Care, School of Clinical Medicine (Wan, C.K.H. Wong), Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Aston Pharmacy School (I.C.K. Wong), Aston University, Birmingham, UK
| | - Xuxiao Ye
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy (Lai, Yan, Ye, Ma, Qin, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Li Ka Shing Faculty of Medicine, The University of Hong Kong; Laboratory of Data Discovery for Health (Lai, Ma, Chui, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Hong Kong Science and Technology Park; School of Nursing (Chui) and of Public Health (Chui) and Departments of Medicine (X. Li, P.H. Li, B.M.U. Cheung, Lau) and of Family Medicine and Primary Care, School of Clinical Medicine (Wan, C.K.H. Wong), Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Aston Pharmacy School (I.C.K. Wong), Aston University, Birmingham, UK
| | - Tiantian Ma
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy (Lai, Yan, Ye, Ma, Qin, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Li Ka Shing Faculty of Medicine, The University of Hong Kong; Laboratory of Data Discovery for Health (Lai, Ma, Chui, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Hong Kong Science and Technology Park; School of Nursing (Chui) and of Public Health (Chui) and Departments of Medicine (X. Li, P.H. Li, B.M.U. Cheung, Lau) and of Family Medicine and Primary Care, School of Clinical Medicine (Wan, C.K.H. Wong), Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Aston Pharmacy School (I.C.K. Wong), Aston University, Birmingham, UK
| | - Xiwen Qin
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy (Lai, Yan, Ye, Ma, Qin, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Li Ka Shing Faculty of Medicine, The University of Hong Kong; Laboratory of Data Discovery for Health (Lai, Ma, Chui, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Hong Kong Science and Technology Park; School of Nursing (Chui) and of Public Health (Chui) and Departments of Medicine (X. Li, P.H. Li, B.M.U. Cheung, Lau) and of Family Medicine and Primary Care, School of Clinical Medicine (Wan, C.K.H. Wong), Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Aston Pharmacy School (I.C.K. Wong), Aston University, Birmingham, UK
| | - Celine Sze Ling Chui
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy (Lai, Yan, Ye, Ma, Qin, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Li Ka Shing Faculty of Medicine, The University of Hong Kong; Laboratory of Data Discovery for Health (Lai, Ma, Chui, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Hong Kong Science and Technology Park; School of Nursing (Chui) and of Public Health (Chui) and Departments of Medicine (X. Li, P.H. Li, B.M.U. Cheung, Lau) and of Family Medicine and Primary Care, School of Clinical Medicine (Wan, C.K.H. Wong), Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Aston Pharmacy School (I.C.K. Wong), Aston University, Birmingham, UK
| | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy (Lai, Yan, Ye, Ma, Qin, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Li Ka Shing Faculty of Medicine, The University of Hong Kong; Laboratory of Data Discovery for Health (Lai, Ma, Chui, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Hong Kong Science and Technology Park; School of Nursing (Chui) and of Public Health (Chui) and Departments of Medicine (X. Li, P.H. Li, B.M.U. Cheung, Lau) and of Family Medicine and Primary Care, School of Clinical Medicine (Wan, C.K.H. Wong), Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Aston Pharmacy School (I.C.K. Wong), Aston University, Birmingham, UK
| | - Eric Yuk Fai Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy (Lai, Yan, Ye, Ma, Qin, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Li Ka Shing Faculty of Medicine, The University of Hong Kong; Laboratory of Data Discovery for Health (Lai, Ma, Chui, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Hong Kong Science and Technology Park; School of Nursing (Chui) and of Public Health (Chui) and Departments of Medicine (X. Li, P.H. Li, B.M.U. Cheung, Lau) and of Family Medicine and Primary Care, School of Clinical Medicine (Wan, C.K.H. Wong), Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Aston Pharmacy School (I.C.K. Wong), Aston University, Birmingham, UK
| | - Carlos King Ho Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy (Lai, Yan, Ye, Ma, Qin, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Li Ka Shing Faculty of Medicine, The University of Hong Kong; Laboratory of Data Discovery for Health (Lai, Ma, Chui, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Hong Kong Science and Technology Park; School of Nursing (Chui) and of Public Health (Chui) and Departments of Medicine (X. Li, P.H. Li, B.M.U. Cheung, Lau) and of Family Medicine and Primary Care, School of Clinical Medicine (Wan, C.K.H. Wong), Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Aston Pharmacy School (I.C.K. Wong), Aston University, Birmingham, UK
| | - Ching Lung Cheung
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy (Lai, Yan, Ye, Ma, Qin, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Li Ka Shing Faculty of Medicine, The University of Hong Kong; Laboratory of Data Discovery for Health (Lai, Ma, Chui, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Hong Kong Science and Technology Park; School of Nursing (Chui) and of Public Health (Chui) and Departments of Medicine (X. Li, P.H. Li, B.M.U. Cheung, Lau) and of Family Medicine and Primary Care, School of Clinical Medicine (Wan, C.K.H. Wong), Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Aston Pharmacy School (I.C.K. Wong), Aston University, Birmingham, UK
| | - Philip Hei Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy (Lai, Yan, Ye, Ma, Qin, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Li Ka Shing Faculty of Medicine, The University of Hong Kong; Laboratory of Data Discovery for Health (Lai, Ma, Chui, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Hong Kong Science and Technology Park; School of Nursing (Chui) and of Public Health (Chui) and Departments of Medicine (X. Li, P.H. Li, B.M.U. Cheung, Lau) and of Family Medicine and Primary Care, School of Clinical Medicine (Wan, C.K.H. Wong), Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Aston Pharmacy School (I.C.K. Wong), Aston University, Birmingham, UK
| | - Bernard Man Yung Cheung
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy (Lai, Yan, Ye, Ma, Qin, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Li Ka Shing Faculty of Medicine, The University of Hong Kong; Laboratory of Data Discovery for Health (Lai, Ma, Chui, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Hong Kong Science and Technology Park; School of Nursing (Chui) and of Public Health (Chui) and Departments of Medicine (X. Li, P.H. Li, B.M.U. Cheung, Lau) and of Family Medicine and Primary Care, School of Clinical Medicine (Wan, C.K.H. Wong), Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Aston Pharmacy School (I.C.K. Wong), Aston University, Birmingham, UK
| | - Chak Sing Lau
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy (Lai, Yan, Ye, Ma, Qin, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Li Ka Shing Faculty of Medicine, The University of Hong Kong; Laboratory of Data Discovery for Health (Lai, Ma, Chui, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Hong Kong Science and Technology Park; School of Nursing (Chui) and of Public Health (Chui) and Departments of Medicine (X. Li, P.H. Li, B.M.U. Cheung, Lau) and of Family Medicine and Primary Care, School of Clinical Medicine (Wan, C.K.H. Wong), Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Aston Pharmacy School (I.C.K. Wong), Aston University, Birmingham, UK
| | - Ian Chi Kei Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy (Lai, Yan, Ye, Ma, Qin, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Li Ka Shing Faculty of Medicine, The University of Hong Kong; Laboratory of Data Discovery for Health (Lai, Ma, Chui, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Hong Kong Science and Technology Park; School of Nursing (Chui) and of Public Health (Chui) and Departments of Medicine (X. Li, P.H. Li, B.M.U. Cheung, Lau) and of Family Medicine and Primary Care, School of Clinical Medicine (Wan, C.K.H. Wong), Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Aston Pharmacy School (I.C.K. Wong), Aston University, Birmingham, UK
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy (Lai, Yan, Ye, Ma, Qin, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Li Ka Shing Faculty of Medicine, The University of Hong Kong; Laboratory of Data Discovery for Health (Lai, Ma, Chui, X. Li, Wan, C.K.H. Wong, C.L. Cheung, I.C.K. Wong, Chan), Hong Kong Science and Technology Park; School of Nursing (Chui) and of Public Health (Chui) and Departments of Medicine (X. Li, P.H. Li, B.M.U. Cheung, Lau) and of Family Medicine and Primary Care, School of Clinical Medicine (Wan, C.K.H. Wong), Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Aston Pharmacy School (I.C.K. Wong), Aston University, Birmingham, UK
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Kwok WC, Leung SHI, Tam TCC, Ho JCM, Lam DCL, Ip MSM, Ho PL. Efficacy of mRNA and Inactivated Whole Virus Vaccines Against COVID-19 in Patients with Chronic Respiratory Diseases. Int J Chron Obstruct Pulmon Dis 2023; 18:47-56. [PMID: 36698687 PMCID: PMC9869785 DOI: 10.2147/copd.s394101] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 01/11/2023] [Indexed: 01/20/2023] Open
Abstract
Background While different COVID-19 vaccines have been developed, there has been lack of data on the efficacy comparison between mRNA and inactivated whole virus vaccine among patients with chronic respiratory diseases, including asthma, chronic obstructive pulmonary disease (COPD), and bronchiectasis. Methods This was a retrospective case control study on the efficacy of BNT162b2 (mRNA vaccine) and CoronaVac (inactivated whole virus vaccine) against COVID-19 in patients with chronic respiratory diseases. A total of 327 patients were included, with 109 patients infected with COVID-19 matched with 218 patients without COVID-19. The co-primary outcomes were vaccine effectiveness against symptomatic COVID-19, COVID-19-related hospitalization and COVID-19-related respiratory failure. Vaccine effectiveness was calculated using the formula (1-adjusted odds ratio) x 100. Results Patients who received at least 2 doses of CoronaVac had lower risk of being hospitalized for COVID-19 and developing respiratory failure than those who did not have vaccination, with adjusted odds ratio (OR) of 0.189 (95% CI = 0.050-0.714, p = 0.014) and 0.128 (95% CI = 0.026-0.638, p = 0.012) respectively. Patients who received at least 2 doses of BNT162b2 had lower risk of being hospitalized for COVID-19 and developing respiratory failure than those who did not have vaccination with adjusted OR of 0.207 (95% CI = 0.043-0.962, p = 0.050) and 0.093 (95% CI = 0.011-0.827, p = 0.033) respectively. There was no statistically significant difference in the risks of being hospitalized for COVID-19 and developing respiratory failure between patients who received at least 2 doses of CoronaVac or BNT162b2. Conclusion BNT162b2 and CoronaVac vaccines are effective in preventing hospitalization for COVID-19 and respiratory failure complicating COVID-19 among patients with chronic respiratory diseases. Patients with chronic respiratory diseases should be encouraged to have COVID-19 vaccination.
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Affiliation(s)
- Wang Chun Kwok
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong Special Administrative Region, People’s Republic of China
| | - Sze Him Isaac Leung
- Department of Statistics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People’s Republic of China
| | - Terence Chi Chun Tam
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong Special Administrative Region, People’s Republic of China
| | - James Chung Man Ho
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong Special Administrative Region, People’s Republic of China
| | - David Chi-Leung Lam
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong Special Administrative Region, People’s Republic of China
| | - Mary Sau Man Ip
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong Special Administrative Region, People’s Republic of China
| | - Pak Leung Ho
- Department of Microbiology and Carol Yu Centre for Infection, The University of Hong Kong, Queen Mary Hospital, Hong Kong Special Administrative Region, People’s Republic of China,Correspondence: Pak Leung Ho, Department of Microbiology, The University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Pok Fu Lam, Hong Kong Special Administrative Region, People’s Republic of China, Tel +852 2255 2584, Fax +852 2855 1241, Email
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