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Mimura W, Ishiguro C, Maeda M, Murata F, Fukuda H. Association between mRNA COVID-19 vaccine boosters and mortality in Japan: The VENUS study. Hum Vaccin Immunother 2024; 20:2350091. [PMID: 38757631 PMCID: PMC11110683 DOI: 10.1080/21645515.2024.2350091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 04/28/2024] [Indexed: 05/18/2024] Open
Abstract
Although previous studies have shown no increased mortality risk after the primary series of COVID-19 mRNA vaccines, reports on booster doses are lacking. This study aimed to evaluate mortality risk after the mRNA vaccine boosters in addition to the primary series. This nested case-control study included two age-specific cohorts (18-64 and ≥65 years as of February 1, 2021) in two municipalities. All deaths were identified and matched five controls for each case at each date of death (index date) with risk set sampling according to municipality, age, and sex. The adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for mRNA vaccines (first to fifth doses) were estimated by comparing with no vaccination within 21 and 42 days before the index date using a conditional logistic regression model. The 18-64-years cohort comprised 431 cases (mean age, 57.0 years; men, 58.2%) and 2,155 controls (mean age, 56.0; men, 58.2%), whereas the ≥65-years cohort comprised 12,166 cases (84.0; 50.2%) and 60,830 controls (84.0, 50.2%). The aORs (95% CI) in 0-21 days after the third and fourth doses in the 18-64-years cohort were 0.62 (0.24, 1.62) and 0.38 (0.08, 1.84), respectively. The aORs (95% CI) after the third to fifth doses in the ≥65 years cohort were 0.36 (0.31, 0.43), 0.30 (0.25, 0.37), and 0.26 (0.20, 0.33), respectively. In conclusion, booster doses of mRNA vaccines do not increase mortality risk. These findings could help subsequent vaccine campaigns and alleviate vaccine hesitancy.
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Affiliation(s)
- Wataru Mimura
- Section of Clinical Epidemiology, Department of Data Science, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Chieko Ishiguro
- Section of Clinical Epidemiology, Department of Data Science, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Megumi Maeda
- Department of Health Care Administration and Management, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan
| | - Fumiko Murata
- Department of Health Care Administration and Management, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan
| | - Haruhisa Fukuda
- Department of Health Care Administration and Management, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan
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Yan VKC, Yang Y, Wan EYF, Lai FTT, Chui CSL, Li X, Wong CKH, Hung IFN, Lau CS, Wong ICK, Chan EWY. Real-World Effectiveness and Safety of Tixagevimab-Cilgavimab: A Target Trial Emulation Study. Drug Saf 2024:10.1007/s40264-024-01450-4. [PMID: 38916712 DOI: 10.1007/s40264-024-01450-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/28/2024] [Indexed: 06/26/2024]
Abstract
BACKGROUND Immunocompromised individuals are at high risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and subsequent severe or fatal coronavirus disease 2019 (COVID-19), yet they have suboptimal responses to mRNA and inactivated COVID-19 vaccines. The efficacy of tixagevimab-cilgavimab in reducing symptomatic SARS-CoV-2 infection was demonstrated in phase III clinical trials. Nevertheless, real-world data on the effectiveness and safety of tixagevimab-cilgavimab remain limited. OBJECTIVE The aim was to evaluate the effectiveness and safety of tixagevimab-cilgavimab among immunocompromised individuals. METHODS Adults who were immunocompromised or receiving immunosuppressive therapies were included in this target trial emulation using territory-wide electronic health records in Hong Kong. A sequential trial emulation approach was adopted to compare effectiveness and safety outcomes between individuals who received tixagevimab-cilgavimab and individuals who did not. RESULTS A total of 746 tixagevimab-cilgavimab recipients and 2980 controls were included from 1 May 2022 to 30 November 2022. Tixagevimab-cilgavimab significantly reduced the risk of COVID-19 infection (hazard ratio [HR] 0.708, 95% confidence interval [CI] 0.527-0.951) during a median follow-up of 60 days. No significant difference was observed in the risk of COVID-19-related hospitalisation. Zero versus eight COVID-19 mortality cases and zero versus two severe COVID-19 cases were observed in tixagevimab-cilgavimab recipients and controls, respectively. Notably, significant risk reduction in COVID-19 infection was also observed among immunocompromised individuals who had been previously vaccinated with three or more doses of COVID-19 vaccine, or had no prior COVID-19 infection history. CONCLUSIONS Tixagevimab-cilgavimab was effective in reducing COVID-19 infection among immunocompromised patients during the Omicron wave. Findings were consistent among individuals who previously received three or more doses of COVID-19 vaccine, or had no previous history of COVID-19 infection.
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Affiliation(s)
- 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, Pokfulam, Hong Kong Special Administrative Region, China
| | - Yu Yang
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, 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, Pokfulam, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Pokfulam, Hong Kong Special Administrative Region, 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 Special Administrative Region, 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, Pokfulam, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Pokfulam, Hong Kong Special Administrative Region, China
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Pokfulam, Hong Kong Special Administrative Region, China
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, 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, Pokfulam, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Pokfulam, Hong Kong Special Administrative Region, China
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, 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, Pokfulam, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Pokfulam, Hong Kong Special Administrative Region, 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 Special Administrative Region, China
| | - Ivan Fan Ngai Hung
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Chak Sing Lau
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, 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, Pokfulam, Hong Kong Special Administrative Region, China.
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Pokfulam, Hong Kong Special Administrative Region, China.
- School of Pharmacy, Medical Sciences Division, Macau University of Science and Technology, Taipa, Macau, China.
- Aston Pharmacy School, Aston University, Birmingham, B4 7ET, UK.
- Department of Pharmacy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L02-57 2/F, Laboratory Block, 21 Sassoon Road, Pokfulam, 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, Pokfulam, Hong Kong Special Administrative Region, China.
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Pokfulam, Hong Kong Special Administrative Region, 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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Park JH, Kim KH. COVID-19 Vaccination-Related Myocarditis: What We Learned From Our Experience and What We Need to Do in The Future. Korean Circ J 2024; 54:295-310. [PMID: 38654456 PMCID: PMC11169908 DOI: 10.4070/kcj.2024.0065] [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: 02/13/2024] [Accepted: 02/26/2024] [Indexed: 04/26/2024] Open
Abstract
Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 has led to a global health crisis with substantial mortality and morbidity. To combat the COVID-19 pandemic, various vaccines have been developed, but unexpected serious adverse events including vaccine-induced thrombotic thrombocytopenia, carditis, and thromboembolic events have been reported and became a huddle for COVID-19 vaccination. Vaccine-related myocarditis (VRM) is a rare but significant adverse event associated primarily with mRNA vaccines. This review explores the incidence, risk factors, clinical presentation, pathogenesis, management strategies, and outcomes associated with VRM. The incidence of VRM is notably higher in male adolescents and young adults, especially after the second dose of mRNA vaccines. The pathogenesis appears to involve an immune-mediated process, but the precise mechanism remains mostly unknown so far. Most studies have suggested that VRM is mild and self-limiting, and responds well to conventional treatment. However, a recent nationwide study in Korea warns that severe cases, including fulminant myocarditis or death, are not uncommon in patients with COVID-19 VRM. The long-term cardiovascular consequences of VRM have not been well understood and warrant further investigation. This review also briefly addresses the critical balance between the substantial benefits of COVID-19 vaccination and the rare risks of VRM in the coming endemic era. It emphasizes the need for continued surveillance, research to understand the underlying mechanisms, and strategies to mitigate risk. Filling these knowledge gaps would be vital to refining vaccination recommendations and improving patient care in the evolving COVID-19 pandemic landscape.
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Affiliation(s)
- Jae-Hyeong Park
- Department of Cardiology in Internal Medicine, Chungnam National University Hospital, Chungnam National University, Daejeon, Korea
| | - Kye Hun Kim
- Department of Cardiovascular Medicine, Chonnam National University Medical School and Chonnam National University Hospital, Gwangju, Korea.
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Cheng FWT, Yan VKC, Wan EYF, Chui CSL, Lai FTT, Wong CKH, Li X, Zhang IR, Tang SCW, Wong ICK, Chan EWY. Effectiveness of Molnupiravir and Nirmatrelvir-Ritonavir in CKD Patients With COVID-19. Kidney Int Rep 2024; 9:1244-1253. [PMID: 38707795 PMCID: PMC11068947 DOI: 10.1016/j.ekir.2024.02.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 01/09/2024] [Accepted: 02/05/2024] [Indexed: 05/07/2024] Open
Abstract
Introduction Even with effective vaccines, patients with CKD have a higher risk of hospitalization and death subsequent to COVID-19 infection than those without CKD. Molnupiravir and nirmatrelvir-ritonavir have been approved for emergency use, but their effectiveness for the CKD population is still unknown. This study was conducted to determine the effectiveness of these drugs in reducing mortality and severe COVID-19 in the CKD population. Methods This was a target trial emulation study using electronic health databases in Hong Kong. Patients with CKD aged 18 years or older who were hospitalized with COVID-19 were included. The per-protocol average treatment effect among COVID-19 oral antiviral initiators, including all-cause mortality, intensive care unit (ICU) admission, and ventilatory support within 28 days, were compared to noninitiators. Results Antivirals have been found to lower the risk of all-cause mortality, with Molnupiravir at a hazard ratio (HR) of 0.85 (95% confidence interval [CI], 0.77 to 0.95] and nirmatrelvir-ritonavir at an HR of 0.78 [95% CI, 0.60 to 1.00]. However, they do not significantly reduce the risk of ICU admission (molnupiravir: HR, 0.88 [95% CI, 0.59 to 1.30]; nirmatrelvir-ritonavir: HR, 0.86 [95% CI, 0.56 to 1.32]) or ventilatory support (molnupiravir: HR, 1.00 [95% CI, 0.76 to 1.33]; nirmatrelvir-ritonavir: HR, 1.01 [95% CI, 0.74 to 1.37]). There was a greater risk reduction in males and those with higher Charlson Comorbidity Index (CCI). The nirmatrelvir-ritonavir trial also showed reduced risk for those who had antiviral treatment and received 3 or more vaccine doses. Conclusion Both molnupiravir and nirmatrelvir-ritonavir reduced mortality rates for hospitalized COVID-19 patients with CKD.
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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, 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
| | - 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, Sha Tin, Hong Kong Special Administrative Region, 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 Special Administrative Region, China
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong Special Administrative Region, China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, 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, Sha Tin, Hong Kong Special Administrative Region, 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, Sha Tin, Hong Kong Special Administrative Region, 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 Special Administrative Region, 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, Sha Tin, Hong Kong Special Administrative Region, China
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Irene 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 Special Administrative Region, 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 Special Administrative Region, 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, Sha Tin, Hong Kong Special Administrative Region, China
- Aston Pharmacy School, Aston University, Birmingham, 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, Sha Tin, Hong Kong Special Administrative Region, China
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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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Ryoo S, Choi M, Choi NK, Shin HS, Woo JH, Park BJ, Oh S. Psychiatric adverse events associated with the COVID-19 vaccines approved in the Republic of Korea: a systematic review. Osong Public Health Res Perspect 2024; 15:107-114. [PMID: 38621764 PMCID: PMC11082440 DOI: 10.24171/j.phrp.2023.0325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 01/12/2024] [Accepted: 01/16/2024] [Indexed: 04/17/2024] Open
Abstract
This systematic review evaluated psychiatric adverse events (AEs) following vaccination against coronavirus disease 2019 (COVID-19). We included studies that reported or investigated psychiatric AEs in individuals who had received an approved COVID-19 vaccine in the Republic of Korea. Systematic electronic searches of Ovid-Medline, Embase, CENTRAL, and KoreaMed databases were conducted on March 22, 2023. Risk of bias was assessed using the Risk of Bias Assessment Tool for Non-randomized Studies 2.0. The study protocol was registered in the International Prospective Register of Systematic Reviews (CRD42023449422). Of the 301 articles initially selected, 7 were included in the final analysis. All studies reported on sleep disturbances, and 2 highlighted anxiety-related AEs. Sleep disorders like insomnia and narcolepsy were the most prevalent AEs, while depression was not reported. Our review suggests that these AEs may have been influenced by biological mechanisms as well as the broader psychosocial context of the COVID-19 pandemic. Although this study had limitations, such as a primary focus on the BNT162b2 vaccine and an observational study design, it offered a systematic, multi-vaccine analysis that fills a critical gap in the existing literature. This review underscores the need for continued surveillance of psychiatric AEs and guides future research to investigate underlying mechanisms, identify risk factors, and inform clinical management.
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Affiliation(s)
- Seungeun Ryoo
- Division of Healthcare Technology Assessment Research, National Evidence-based Healthcare Collaborating Agency, Seoul, Republic of Korea
| | - Miyoung Choi
- Division of Healthcare Technology Assessment Research, National Evidence-based Healthcare Collaborating Agency, Seoul, Republic of Korea
| | - Nam-Kyong Choi
- COVID-19 Vaccine Safety Research Center, Seoul, Republic of Korea
- Department of Health Convergence, College of Science & Industry Convergence, Ewha Womans University, Seoul, Republic of Korea
| | - Hyoung-Shik Shin
- COVID-19 Vaccine Safety Research Center, Seoul, Republic of Korea
- Department of Infectious Diseases, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, Republic of Korea
| | - Jun Hee Woo
- COVID-19 Vaccine Safety Research Center, Seoul, Republic of Korea
- National Academy of Medicine of Korea, Seoul, Republic of Korea
| | - Byung-Joo Park
- COVID-19 Vaccine Safety Research Center, Seoul, Republic of Korea
- National Academy of Medicine of Korea, Seoul, Republic of Korea
| | - Sanghoon Oh
- COVID-19 Vaccine Safety Research Center, Seoul, Republic of Korea
- Department of Psychiatry, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu, Republic of Korea
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Ha J, Song MC, Park S, Kang H, Kyung T, Kim N, Kim DK, Bae K, Lee KJ, Lee E, Hwang BS, Youn J, Seok JM, Park K. Deciphering deaths associated with severe serious adverse events following SARS-CoV-2 vaccination: A retrospective cohort study. Vaccine X 2024; 16:100446. [PMID: 38318232 PMCID: PMC10839134 DOI: 10.1016/j.jvacx.2024.100446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 11/15/2023] [Accepted: 01/18/2024] [Indexed: 02/07/2024] Open
Affiliation(s)
- Jongmok Ha
- Infectious Disease Control Center, Gyeonggi Provincial Government, Suwon, Korea
| | - Min Cheol Song
- Infectious Disease Control Center, Gyeonggi Provincial Government, Suwon, Korea
| | - Suyeon Park
- Department of Biostatistics, Soonchunhyang University Seoul Hospital, Seoul, Korea
- Department of Applied Statistics, Chung-Ang University, Seoul, Korea
| | - Hyunwook Kang
- Infectious Disease Control Center, Gyeonggi Provincial Government, Suwon, Korea
| | - Taeeun Kyung
- Infectious Disease Control Center, Gyeonggi Provincial Government, Suwon, Korea
| | - Namoh Kim
- Infectious Disease Control Center, Gyeonggi Provincial Government, Suwon, Korea
| | - Dong Kyu Kim
- Infectious Disease Control Center, Gyeonggi Provincial Government, Suwon, Korea
| | - Kihoon Bae
- Infectious Disease Control Center, Gyeonggi Provincial Government, Suwon, Korea
| | - Kwang June Lee
- Infectious Disease Control Center, Gyeonggi Provincial Government, Suwon, Korea
| | - Euiho Lee
- Infectious Disease Control Center, Gyeonggi Provincial Government, Suwon, Korea
| | - Beom Seuk Hwang
- Department of Applied Statistics, Chung-Ang University, Seoul, Korea
| | - Jinyoung Youn
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Jin Myoung Seok
- Department of Neurology, Soonchunhyang University Hospital Cheonan, Soonchunhyang University College of Medicine, Cheonan, Korea
| | - Kunhee Park
- Infectious Disease Control Center, Gyeonggi Provincial Government, Suwon, Korea
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Yan VKC, Cheng FWT, Chui CSL, Lai FTT, Wong CKH, Li X, Wan EYF, Wong JSC, Chan EWY, Wong ICK, Kwan MYW, Ip P. Effectiveness of BNT162b2 and CoronaVac vaccines in preventing SARS-CoV-2 Omicron infections, hospitalizations, and severe complications in the pediatric population in Hong Kong: a case-control study. Emerg Microbes Infect 2023; 12:2185455. [PMID: 36852582 PMCID: PMC10026771 DOI: 10.1080/22221751.2023.2185455] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
Severe COVID-19 appears to be disproportionately more common in children and adolescents since the emergence of Omicron. More evidence regarding vaccine effectiveness (VE) is urgently needed to assist policymakers in making decisions and minimize vaccine hesitancy among the public. This was a case-control study in the pediatric population using data extracted from the electronic health records database in Hong Kong. Individuals aged 3-17 with COVID-19 confirmed by polymerase chain reaction were included in the study. Each case was matched with up to 10 controls based on age, gender, and index date (within 3 calendar days). The VE of BNT162b2 and CoronaVac in preventing COVID-19, hospitalizations, and severe outcomes were estimated using conditional logistic regression adjusted by patients' comorbidities and medication history during the outbreak from January to August 2022. A total of 36,434 COVID-19 cases, 2231 COVID-19-related hospitalizations, and 1918 severe COVID-19 cases were matched to 109,004, 21,788, and 18,823 controls, respectively. Compared to the unvaccinated group, three doses of BNT162b2 or CoronaVac was associated with reduced risk of infection [VE: BNT162b2: 56.0% (95% CI: 49.6-61.6), CoronaVac: 39.4% (95% CI: 25.6-50.6)], hospitalization [VE: BNT162b2: 58.9% (95% CI: 36.1-73.6), CoronaVac: 51.7% (11.6-73.6)], and severe outcomes [VE: BNT162b2: 60.2% (95% CI: 33.7-76.1), CoronaVac: 42.2% (95% CI: -6.2-68.6)]. Our findings showed that three doses of BNT162b2 or CoronaVac was effective in preventing COVID-19, hospitalizations, and severe outcomes among the pediatric population during Omicron-dominant pandemic, which was further enhanced after a booster dose.
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Affiliation(s)
- 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, People's Republic of China
| | - 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, People's Republic of China
| | - Celine Sze Ling Chui
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China
- Laboratory of Data Discovery for Health (D24H), , Hong Kong Science and Technology Park, Sha Tin, Hong Kong, People's Republic of 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, People's Republic of China
- Laboratory of Data Discovery for Health (D24H), , Hong Kong Science and Technology Park, Sha Tin, Hong Kong, People's Republic of 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, People's Republic of China
- Laboratory of Data Discovery for Health (D24H), , Hong Kong Science and Technology Park, Sha Tin, Hong Kong, People's Republic of 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, People's Republic of 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, People's Republic of China
- Laboratory of Data Discovery for Health (D24H), , Hong Kong Science and Technology Park, Sha Tin, Hong Kong, People's Republic of China
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of 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, People's Republic of China
- Laboratory of Data Discovery for Health (D24H), , Hong Kong Science and Technology Park, Sha Tin, Hong Kong, People's Republic of 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, People's Republic of China
| | - Joshua Sung Chih Wong
- Department of Paediatrics and Adolescent Medicine, Princess Margaret Hospital, Hong Kong, People's Republic of 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, People's Republic of China
- Laboratory of Data Discovery for Health (D24H), , Hong Kong Science and Technology Park, Sha Tin, Hong Kong, People's Republic of 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, People's Republic of China
- Laboratory of Data Discovery for Health (D24H), , Hong Kong Science and Technology Park, Sha Tin, Hong Kong, People's Republic of China
- Aston Pharmacy School, Aston University, Birmingham, UK
| | - Mike Yat Wah Kwan
- Department of Paediatrics and Adolescent Medicine, Princess Margaret Hospital, Hong Kong, People's Republic of China
- Department of Paediatrics and Adolescent Medicine, Hong Kong Children's Hospital, Hong Kong, People's Republic of China
| | - Patrick Ip
- Department of Paediatrics and Adolescent Medicine, Hong Kong Children's Hospital, Hong Kong, People's Republic of China
- Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, People's Republic of China
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Ab Rahman N, Lim MT, Lee FY, Wo WK, Yeoh HS, Peariasamy KM, Sivasampu S. Thrombocytopenia and venous thromboembolic events after BNT162b2, CoronaVac, ChAdOx1 vaccines and SARS-CoV-2 infection: a self-controlled case series study. Sci Rep 2023; 13:20471. [PMID: 37993548 PMCID: PMC10665324 DOI: 10.1038/s41598-023-47486-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 11/14/2023] [Indexed: 11/24/2023] Open
Abstract
This study assessed the association between COVID-19 vaccines, SARS-CoV-2 infection and the risk of thrombocytopenia and venous thromboembolism (VTE). This self-controlled case series study used hospital records between 1st February 2021 and 28th February 2022 linked to the national immunisation registry and COVID-19 surveillance data in Malaysia. Conditional Poisson regression was used to estimate incidence rate ratios (IRR) of events in the risk period (day 1-21 post-exposure) relative to control period with the corresponding 95% confidence interval (CI) adjusted for calendar period. We found no significant increased risk of thrombocytopenia in 1-21 days following BNT162b2, CoronaVac and ChAdOx1 vaccines while the risk was increased following SARS-CoV-2 infection (IRR 15.52, 95% CI 13.38-18.00). Similarly, vaccination with BNT162b2, CoronaVac, or ChAdOx1 was not associated with an increased risk of VTE during the 1-21 days risk period. SARS-CoV-2 infection was associated with increased risk of VTE (IRR 39.84, 95% CI 27.45-32.44). Our findings showed low event rates of thrombocytopenia and VTE following booster vaccination with comparable safety profiles between those who received homologous and heterologous booster combinations. Our findings showed the risk of thrombocytopenia and VTE was not increased after COVID-19 vaccination while the risks were substantially higher after SARS-CoV-2 infection.
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Affiliation(s)
- Norazida Ab Rahman
- Institute for Clinical Research, National Institutes of Health, Block B4, No 1, Jalan Setia Murni U13/52, 40170, Shah Alam, Selangor, Malaysia.
| | - Ming Tsuey Lim
- Institute for Clinical Research, National Institutes of Health, Block B4, No 1, Jalan Setia Murni U13/52, 40170, Shah Alam, Selangor, Malaysia
| | - Fei Yee Lee
- Clinical Research Centre, Selayang Hospital, Ministry of Health, Kepong, Selangor, Malaysia
| | - Wee Kee Wo
- National Pharmaceutical Regulatory Agency, Ministry of Health, Shah Alam, Selangor, Malaysia
| | - Hee Sheong Yeoh
- National Pharmaceutical Regulatory Agency, Ministry of Health, Shah Alam, Selangor, Malaysia
| | - Kalaiarasu M Peariasamy
- Institute for Clinical Research, National Institutes of Health, Block B4, No 1, Jalan Setia Murni U13/52, 40170, Shah Alam, Selangor, Malaysia
| | - Sheamini Sivasampu
- Institute for Clinical Research, National Institutes of Health, Block B4, No 1, Jalan Setia Murni U13/52, 40170, Shah Alam, Selangor, Malaysia
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Sintusek P, Buranapraditkun S, Khunsri S, Thongmee T, Vichaiwattana P, Polsawat W, Poovorawan Y. Safety and Efficacy of a Third Dose of the BNT162b2 Vaccine in Liver-Transplanted and Healthy Adolescents. JPGN REPORTS 2023; 4:e373. [PMID: 38034438 PMCID: PMC10684171 DOI: 10.1097/pg9.0000000000000373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 09/09/2023] [Indexed: 12/02/2023]
Abstract
Objectives According to our previous study, the 2-dose-BNT162b2 vaccination is less effective against the Omicron variant. This study aimed to assess the safety and efficacy of a 3-dose-BNT162b2 vaccination in liver-transplanted (LT) and healthy adolescents. Methods LT and healthy adolescents who met the inclusion criteria received a third dose of the BNT162b2 vaccine (30 µg). Antireceptor-binding domain immunoglobulin and T-cell-specific responses to severe acute respiratory syndrome coronavirus 2 spike peptides were assessed 3 months before the third dose (Visit -1) and 0 (Visit 0), 1 (Visit 1), and 2 months (Visit 2) after the third dose. Antinucleocapsid immunoglobulin and neutralizing antibodies were assessed at Visits 0 and 1. Adverse events (AEs) were monitored. Results Eleven LT and 14 healthy adolescents aged 14.64 (13.2, 15.7) years (44.2% male) had antireceptor-binding domain immunoglobulin geometric mean titers of 1412.47 (95% confidence interval [CI], 948.18-2041.11) and 1235.79 (95% CI, 901.07-1705.73) U/mL at Visit -1 but increased to 38 587.76 (95% CI, 24 628.03-60 460.18) and 29 222.38 (95% CI, 16 291.72-52 401.03) U/mL (P < 0.05) at Visit 1, respectively. This was consistent with neutralizing antibodies (42.29% and 95.37% vs 44.65% and 91.68%, P < 0.001) and interferon-γ-secreting cells in LT and healthy adolescents at Visit 0 versus Visit 1, respectively. For serious AEs, an LT girl with autoimmune overlap syndrome died 5 months postvaccination from acute liver failure. Conclusions In both LT and healthy adolescents, humoral and cellular immune responses were high after the 3-dose-BNT162b2 vaccination. However, serious AEs were suspected in LT adolescents with autoimmune diseases.
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Affiliation(s)
- Palittiya Sintusek
- From the Thai Pediatric Gastroenterology, Hepatology and Immunology (TPGHAI) Research Unit, Division of Gastroenterology, Department of Pediatrics
| | - Supranee Buranapraditkun
- Division of Allergy and Clinical Immunology, Department of Medicine, King Chulalongkorn Memorial Hospital, Faculty of Medicine, Chulalongkorn University, Thai Red Cross Society, Bangkok, Thailand
- Center of Excellence in Vaccine Research and Development (Chula Vaccine Research Center-Chula VRC), Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Siriporn Khunsri
- From the Thai Pediatric Gastroenterology, Hepatology and Immunology (TPGHAI) Research Unit, Division of Gastroenterology, Department of Pediatrics
| | - Thanunrat Thongmee
- Center of Excellence in Clinical Virology, Department of Pediatrics, King Chulalongkorn Memorial Hospital, Faculty of Medicine, Chulalongkorn University, The Thai Red Cross Society, Bangkok, Thailand
| | - Preeyaporn Vichaiwattana
- Center of Excellence in Clinical Virology, Department of Pediatrics, King Chulalongkorn Memorial Hospital, Faculty of Medicine, Chulalongkorn University, The Thai Red Cross Society, Bangkok, Thailand
| | - Warunee Polsawat
- Excellent Center for Organ Transplantation, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Yong Poovorawan
- Center of Excellence in Clinical Virology, Department of Pediatrics, King Chulalongkorn Memorial Hospital, Faculty of Medicine, Chulalongkorn University, The Thai Red Cross Society, Bangkok, Thailand
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11
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Xiong X, Lui DTW, Chung MSH, Au ICH, Lai FTT, Wan EYF, Chui CSL, Li X, Cheng FWT, Cheung CL, Chan EWY, Lee CH, Woo YC, Tan KCB, Wong CKH, Wong ICK. Incidence of diabetes following COVID-19 vaccination and SARS-CoV-2 infection in Hong Kong: A population-based cohort study. PLoS Med 2023; 20:e1004274. [PMID: 37486927 PMCID: PMC10406181 DOI: 10.1371/journal.pmed.1004274] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 08/07/2023] [Accepted: 07/07/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND The risk of incident diabetes following Coronavirus Disease 2019 (COVID-19) vaccination remains to be elucidated. Also, it is unclear whether the risk of incident diabetes after Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection is modified by vaccination status or differs by SARS-CoV-2 variants. We evaluated the incidence of diabetes following mRNA (BNT162b2), inactivated (CoronaVac) COVID-19 vaccines, and after SARS-CoV-2 infection. METHODS AND FINDINGS In this population-based cohort study, individuals without known diabetes were identified from an electronic health database in Hong Kong. The first cohort included people who received ≥1 dose of COVID-19 vaccine and those who did not receive any COVID-19 vaccines up to September 2021. The second cohort consisted of confirmed COVID-19 patients and people who were never infected up to March 2022. Both cohorts were followed until August 15, 2022. A total of 325,715 COVID-19 vaccine recipients (CoronaVac: 167,337; BNT162b2: 158,378) and 145,199 COVID-19 patients were 1:1 matched to their respective controls using propensity score for various baseline characteristics. We also adjusted for previous SARS-CoV-2 infection when estimating the conditional probability of receiving vaccinations, and vaccination status when estimating the conditional probability of contracting SARS-CoV-2 infection. Hazard ratios (HRs) and 95% confidence intervals (CIs) for incident diabetes were estimated using Cox regression models. In the first cohort, we identified 5,760 and 4,411 diabetes cases after receiving CoronaVac and BNT162b2 vaccines, respectively. Upon a median follow-up of 384 to 386 days, there was no evidence of increased risks of incident diabetes following CoronaVac or BNT162b2 vaccination (CoronaVac: 9.08 versus 9.10 per 100,000 person-days, HR = 0.998 [95% CI 0.962 to 1.035]; BNT162b2: 7.41 versus 8.58, HR = 0.862 [0.828 to 0.897]), regardless of diabetes type. In the second cohort, we observed 2,109 cases of diabetes following SARS-CoV-2 infection. Upon a median follow-up of 164 days, SARS-CoV-2 infection was associated with significantly higher risk of incident diabetes (9.04 versus 7.38, HR = 1.225 [1.150 to 1.305])-mainly type 2 diabetes-regardless of predominant circulating variants, albeit lower with Omicron variants (p for interaction = 0.009). The number needed to harm at 6 months was 406 for 1 additional diabetes case. Subgroup analysis revealed no evidence of increased risk of incident diabetes among fully vaccinated COVID-19 survivors. Main limitations of our study included possible misclassification bias as type 1 diabetes was identified through diagnostic coding and possible residual confounders due to its observational nature. CONCLUSIONS There was no evidence of increased risks of incident diabetes following COVID-19 vaccination. The risk of incident diabetes increased following SARS-CoV-2 infection, mainly type 2 diabetes. The excess risk was lower, but still statistically significant, for Omicron variants. Fully vaccinated individuals might be protected from risks of incident diabetes following SARS-CoV-2 infection.
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Affiliation(s)
- Xi Xiong
- 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
| | - David Tak Wai Lui
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Matthew Shing Hin Chung
- 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
| | - Ivan Chi Ho Au
- 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
| | - 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, 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 (D4H), Hong Kong Science and Technology Park, 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
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D4H), 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
| | - 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
- Department of Medicine, 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, Hong Kong SAR, China
| | - 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
| | - Ching-Lung Cheung
- 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, 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, 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
| | - Chi Ho Lee
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Yu Cho Woo
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Kathryn Choon Beng Tan
- Department of Medicine, School of Clinical Medicine, 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
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, 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
| | - 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, Hong Kong SAR, China
- Aston Pharmacy School, Aston University, Birmingham, United Kingdom
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, United Kingdom
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12
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van der Boom MDX, van Eekeren R, van Hunsel FPAM. Observed-over-Expected analysis as additional method for pharmacovigilance signal detection in large-scaled spontaneous adverse event reporting. Pharmacoepidemiol Drug Saf 2023; 32:783-794. [PMID: 36919526 DOI: 10.1002/pds.5610] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 02/15/2023] [Accepted: 03/08/2023] [Indexed: 03/16/2023]
Abstract
BACKGROUND The large-scale COVID-19 vaccination campaigns in 2021 and 2022 led to a rapid increase in numbers of received adverse event reports in spontaneous reporting systems. As background incidences of naturally occurring medical events became increasingly relevant for causality assessment of potential associations with the vaccines, a novel approach for signal detection was warranted. OBJECTIVES This article illustrates the Observed-over-Expected (O/E) analysis as an additional method for signal detection and risk assessment in large-scaled spontaneous reporting systems. METHODS All individual case safety reports (ICSRs) concerning idiopathic peripheral facial paralysis or Bell's palsy following administration of the COVID-19 vaccines (n = 291) manufactured by Pfizer/BioNTech (Comirnaty), Moderna (Spikevax), AstraZeneca (Vaxzevria) and Janssen (JCOVDEN) received by the National Pharmacovigilance Centre Lareb until 24th March 2022 were included in the O/E analysis, within a risk window of 7 and 14 days following immunisation. Dutch background incidence rates from 2019 and exposure of the Dutch population to the vaccines were obtained from the PHARMO institute and RIVM. The data was stratified in age groups, gender and administered dose in order to differentiate between population subgroups. RESULTS Bell's palsy was reported more frequently than expected in several population subgroups following administration of all four COVID-19 vaccines, including children and adolescents. Among children, a high O/E ratio was found for boys aged 5-14 years after receiving the Pfizer/BioNTech vaccine. Regarding adolescents and young adults, women aged 15-24 years receiving Pfizer/BioNTech and Moderna, and men aged 15-24 years receiving Janssen developed Bell's palsy more often than expected. Furthermore, O/E ratios were high for individuals aged 25-64, regarding females receiving Pfizer, Moderna and AstraZeneca and males receiving Janssen. As facial paralysis was not labelled as an adverse event for the Janssen vaccine, this analysis contributed to signalling the association and warranting further regulatory action. CONCLUSIONS The O/E method is a useful approach for signal detection of potential adverse reactions when handling large numbers of ICSRs. Further research is needed to attest to the causality on a clinical basis.
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Affiliation(s)
| | - Rike van Eekeren
- Netherlands Pharmacovigilance Centre Lareb, 's-Hertogenbosch, The Netherlands
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13
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Lee H, Kwon D, Park S, Park SR, Chung D, Ha J. Temporal association between the age-specific incidence of Guillain-Barré syndrome and SARS-CoV-2 vaccination in Republic of Korea: a nationwide time-series correlation study. Osong Public Health Res Perspect 2023; 14:224-231. [PMID: 37415440 PMCID: PMC10522829 DOI: 10.24171/j.phrp.2023.0050] [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: 02/19/2023] [Revised: 03/31/2023] [Accepted: 04/06/2023] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND The incidence of Guillain-Barré syndrome (GBS) changed significantly during the coronavirus disease 2019 (COVID-19) pandemic. Emerging reports suggest that viral vector-based vaccines may be associated with an elevated risk of GBS. METHODS In this nationwide time-series correlation study, we examined the age-specific incidence of GBS from January 2011 to August 2022, as well as data on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccinations and infections from February 2021 to August 2022. We compared the forecasted estimates of age-specific GBS incidence, using the pre-SARS-CoV-2 period as a benchmark, with the actual incidence observed during the post-vaccination period of the pandemic. Furthermore, we assessed the temporal association between GBS, SARS-CoV-2 vaccinations, and COVID-19 for different age groups. RESULTS In the age group of 60 and older, the rate ratio was significantly elevated during June-August and November 2021. A significant, strong positive association was observed between viral vector-based vaccines and GBS incidence trends in this age group (r=0.52, p=0.022). For the 30 to 59 years age group, the rate ratio was notably high in September 2021. A statistically significant, strong positive association was found between mRNA-based vaccines and GBS incidence in this age group (r=0.61, p=0.006). CONCLUSION Viral vector-based SARS-CoV-2 vaccines were found to be temporally associated with an increased risk of GBS, particularly in older adults. To minimize age-specific and biological mechanism-specific adverse events, future vaccination campaigns should adopt a more personalized approach, such as recommending homologous mRNA-based SARS-CoV-2 vaccines for older adults to reduce the heightened risk of GBS.
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Affiliation(s)
- Hyunju Lee
- Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea
| | - Donghyok Kwon
- Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea
| | - Seoncheol Park
- Department of Mathematics, Hanyang University, Seoul, Republic of Korea
- Research Institute for Natural Sciences, Hanyang University, Seoul, Republic of Korea
| | - Seung Ri Park
- Gyeonggi Infectious Disease Control Center, Gyeonggi Provincial Government, Suwon, Republic of Korea
| | - Darda Chung
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jongmok Ha
- Gyeonggi Infectious Disease Control Center, Gyeonggi Provincial Government, Suwon, Republic of Korea
- Department of Neurology, Yeoncheon Public Medical Center, Yeoncheon, Republic of Korea
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14
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Rafati A, Pasebani Y, Jameie M, Yang Y, Jameie M, Ilkhani S, Amanollahi M, Sakhaei D, Rahimlou M, Kheradmand A. Association of SARS-CoV-2 Vaccination or Infection With Bell Palsy: A Systematic Review and Meta-analysis. JAMA Otolaryngol Head Neck Surg 2023; 149:493-504. [PMID: 37103913 PMCID: PMC10141297 DOI: 10.1001/jamaoto.2023.0160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 02/13/2023] [Indexed: 04/28/2023]
Abstract
Importance Bell palsy (BP) has been reported as an adverse event following the SARS-CoV-2 vaccination, but neither a causative relationship nor a higher prevalence than in the general population has been established. Objective To compare the incidence of BP in SARS-CoV-2 vaccine recipients vs unvaccinated individuals or placebo recipients. Data Sources A systematic search of MEDLINE (via PubMed), Web of Science, Scopus, Cochrane Library, and Google Scholar from the inception of the COVID-19 report (December 2019) to August 15, 2022. Study Selection Articles reporting BP incidence with SARS-CoV-2 vaccination were included. Data Extraction and Synthesis This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline and was conducted with the random- and fixed-effect models using the Mantel-Haenszel method. The quality of the studies was evaluated by the Newcastle-Ottawa Scale. Main Outcomes and Measures The outcomes of interest were to compare BP incidence among (1) SARS-CoV-2 vaccine recipients, (2) nonrecipients in the placebo or unvaccinated cohorts, (3) different types of SARS-CoV-2 vaccines, and (4) SARS-CoV-2-infected vs SARS-CoV-2-vaccinated individuals. Results Fifty studies were included, of which 17 entered the quantitative synthesis. Pooling 4 phase 3 randomized clinical trials showed significantly higher BP in recipients of SARS-CoV-2 vaccines (77 525 vaccine recipients vs 66 682 placebo recipients; odds ratio [OR], 3.00; 95% CI, 1.10-8.18; I2 = 0%). There was, however, no significant increase in BP after administration of the messenger RNA SARS-CoV-2 vaccine in pooling 8 observational studies (13 518 026 doses vs 13 510 701 unvaccinated; OR, 0.70; 95% CI, 0.42-1.16; I2 = 94%). No significant difference was found in BP among 22 978 880 first-dose recipients of the Pfizer/BioNTech vaccine compared with 22 978 880 first-dose recipients of the Oxford/AstraZeneca vaccine (OR, 0.97; 95% CI, 0.82-1.15; I2 = 0%). Bell palsy was significantly more common after SARS-CoV-2 infection (n = 2 822 072) than after SARS-CoV-2 vaccinations (n = 37 912 410) (relative risk, 3.23; 95% CI, 1.57-6.62; I2 = 95%). Conclusions and Relevance This systematic review and meta-analysis suggests a higher incidence of BP among SARS-CoV-2-vaccinated vs placebo groups. The occurrence of BP did not differ significantly between recipients of the Pfizer/BioNTech vs Oxford/AstraZeneca vaccines. SARS-CoV-2 infection posed a significantly greater risk for BP than SARS-CoV-2 vaccination.
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Affiliation(s)
- Ali Rafati
- School of Medicine, Iran University of Medical Sciences, Tehran
| | | | - Melika Jameie
- Iranian Center of Neurological Research, Neuroscience Institute, Tehran University of Medical Sciences, Tehran
- Neuroscience Research Center, Iran University of Medical Sciences, Tehran
| | - Yuchen Yang
- Department of Neurology and Otolaryngology–Head & Neck Surgery, Johns Hopkins University, School of Medicine, Baltimore, Maryland
| | - Mana Jameie
- Cardiovascular Diseases Research Institute, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Saba Ilkhani
- Center for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Mobina Amanollahi
- Iranian Center of Neurological Research, Neuroscience Institute, Tehran University of Medical Sciences, Tehran
| | - Delaram Sakhaei
- School of Medicine, Sari Branch, Islamic Azad University, Sari, Iran
| | - Mehran Rahimlou
- Department of Nutrition, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Amir Kheradmand
- Department of Neurology, Johns Hopkins University, School of Medicine, Baltimore, Maryland
- Department of Neuroscience, Johns Hopkins University, School of Medicine, Baltimore, Maryland
- Department of Otolaryngology–Head & Neck Surgery, Johns Hopkins University, School of Medicine, Baltimore, Maryland
- Laboratory for Computational Sensing and Robotics, Johns Hopkins University, School of Medicine, Baltimore, Maryland
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15
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Cheon S, Methiyothin T, Ahn I. Analysis of COVID-19 vaccine adverse event using language model and unsupervised machine learning. PLoS One 2023; 18:e0282119. [PMID: 36802407 PMCID: PMC9942977 DOI: 10.1371/journal.pone.0282119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 02/08/2023] [Indexed: 02/23/2023] Open
Abstract
BACKGROUND After the COVID-19 pandemic, the world has made efforts to recover from the chaotic situation. Vaccination is a way to help control infectious diseases, and many people have been vaccinated against COVID-19 by this point. However, an extremely small number of those who received the vaccine have experienced diverse side effects. METHODS AND FINDINGS In this study, we examined people who experienced adverse events with the COVID-19 vaccine by gender, age, vaccine manufacturer, and dose of vaccinations by using the Vaccine Adverse Event Reporting System datasets. Then we used a language model to vectorize symptom words and reduced their dimensionality. We also clustered symptoms by using unsupervised machine learning and analyzed the characteristics of each symptom cluster. Lastly, to discover any association rules among adverse events, we used a data mining approach. The frequency of adverse events was higher for women than men, for Moderna than for Pfizer or Janssen, and for the first dose than for the second dose. However, we found that characteristics of vaccine adverse events, including gender, vaccine manufacturer, age, and underlying diseases were different for each symptom cluster, and that fatal cases were significantly related to a particular cluster (associated with hypoxia). Also, as a result of the association analysis, the {chills ↔ pyrexia} and {vaccination site pruritus ↔ vaccination site erythema} rules had the highest support value of 0.087 and 0.046, respectively. CONCLUSIONS We aim to contribute accurate information on the adverse events of the COVID-19 vaccine to relieve public anxiety due to unconfirmed statements about vaccines.
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Affiliation(s)
- Saeyeon Cheon
- Department of Data-Centric Problem Solving Research, Korea Institute of Science and Technology Information, Daejeon, Republic of Korea
- Center for Convergent Research of Emerging Virus Infection, Korea Research Institute of Chemical Technology, Daejeon, Republic of Korea
- Department of Applied AI, University of Science & Technology, Daejeon, Republic of Korea
| | - Thanin Methiyothin
- Department of Data-Centric Problem Solving Research, Korea Institute of Science and Technology Information, Daejeon, Republic of Korea
- Center for Convergent Research of Emerging Virus Infection, Korea Research Institute of Chemical Technology, Daejeon, Republic of Korea
- Department of Applied AI, University of Science & Technology, Daejeon, Republic of Korea
| | - Insung Ahn
- Department of Data-Centric Problem Solving Research, Korea Institute of Science and Technology Information, Daejeon, Republic of Korea
- Center for Convergent Research of Emerging Virus Infection, Korea Research Institute of Chemical Technology, Daejeon, Republic of Korea
- Department of Applied AI, University of Science & Technology, Daejeon, Republic of Korea
- * E-mail:
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16
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Beccia F, Regazzi L, Marziali E, Beccia V, Pascucci D, Mores N, Vetrugno G, Laurenti P. BNT162b2 COVID-19 Vaccine Safety among Healthcare Workers of a Tertiary Hospital in Italy. Vaccines (Basel) 2023; 11:vaccines11020477. [PMID: 36851354 PMCID: PMC9964542 DOI: 10.3390/vaccines11020477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/13/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
Millions of people have died because of the COVID-19 pandemic. The vaccination campaign helped tackle the pandemic and saved millions of lives. In a retrospective pharmacovigilance study, we explored the safety of the BNT162b2 (Comirnaty) vaccine among healthcare workers (HCWs) in a large Italian teaching hospital, and 2428 Adverse Events Reports (AERs) filed by HCWs after the administration of the first dose of vaccine were collected and analyzed, reporting the results quantitively and comparing them to the vaccine Summary of Product Characteristics (SPC). Spearman's correlation coefficients were computed to investigate the correlation among reported adverse effects, and recurrent clusters of symptoms were investigated through the Principal Component Analysis (PCA) and k-means Cluster Analysis. The BNT162b2 vaccine's safety profile was favorable, with predominant reports of early onset, mild, non-serious and short-term resolved symptoms. We observed higher than the expected frequency for various non-serious undesirable effects, especially among those listed and classified as less common in the SPC. Furthermore, we identified three clusters of adverse effects that were frequently reported together, defined by the presence/absence of fatigue, malaise, localized pain, chills, pyrexia, insomnia, nausea and injection site pain. Post-marketing pharmacovigilance activities, together with targeted public health interventions, can be valuable tools to promote vaccination and improve the control of the spread of the pandemic, especially in sensitive settings and populations such as hospitals and healthcare professionals.
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Affiliation(s)
- Flavia Beccia
- Section of Hygiene, Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Luca Regazzi
- Section of Hygiene, Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
- Correspondence:
| | - Eleonora Marziali
- Section of Hygiene, Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Viria Beccia
- Medical Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Domenico Pascucci
- Section of Hygiene, Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
| | - Nadia Mores
- Department of Pharmacology, Faculty of Medicine, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Giuseppe Vetrugno
- Risk Management Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
| | - Patrizia Laurenti
- Section of Hygiene, Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
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Risks of Cardiac Arrhythmia Associated with COVID-19 Vaccination: A Systematic Review and Meta-Analysis. Vaccines (Basel) 2023; 11:vaccines11010112. [PMID: 36679957 PMCID: PMC9862670 DOI: 10.3390/vaccines11010112] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 12/12/2022] [Accepted: 12/17/2022] [Indexed: 01/04/2023] Open
Abstract
This systematic review and meta-analysis aimed to summarize the current evidence regarding the association between coronavirus disease 2019 (COVID-19) vaccination and the risk of cardiac arrhythmia. MEDLINE, via PubMed and OVID, Scopus, CENTRAL, and Web of Science were searched using the relevant keywords to identify the relevant citations. Comprehensive Meta-analysis and Review Manager 5.4.1 were used for all the statistical analyses. Seventeen studies (n = 567,033,087 patients) were included. The pooled analysis showed that the incidence of cardiac arrhythmia post-COVID-19 vaccination with Pfizer, Moderna, AstraZeneca, CoronaVac, and Sinopharm was 0.22%, 95% CI: (0.07% to 0.66%), 0.76%, 95% CI: (0.04% to 12.08%), 0.04%, 95% CI: (0.00% to 0.98%), 0.01%, 95% CI: (0.00% to 0.03%), and 0.03%, 95% CI: (0.00% to 18.48%), respectively. Compared to CoronaVac, Pfizer, Moderna, AstraZeneca, and Sinopharm had a higher incidence ratio rate (IRR; 22-times, 76-times, 4-times, and 3-times higher), respectively. Likewise, Pfizer, Moderna, and AstraZeneca showed a higher IRR than Sinopharm (7.3-times, 25.3-times, and 1.3-times higher). The current evidence shows that the incidence rate (IR) of cardiac arrhythmia post-COVID-19 vaccination is rare and ranges between 1 and 76 per 10,000. mRNA vaccines were associated with a higher IR of arrhythmia compared to vector-based vaccines. Inactivated vaccines showed the lowest IR of arrhythmia.
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18
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Hsu CY, Chang JC, Chen SLS, Chang HH, Lin ATY, Yen AMF, Chen HH. Primary and booster vaccination in reducing severe clinical outcomes associated with Omicron Naïve infection. J Infect Public Health 2023; 16:55-63. [PMID: 36470007 PMCID: PMC9708104 DOI: 10.1016/j.jiph.2022.11.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 11/21/2022] [Accepted: 11/24/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Little is known about long-term effectiveness of COVID-19 vaccine in reducing severity and deaths associated with Omicron VOC not perturbed by prior infection and independent of oral anti-viral therapy and non-pharmaceutical (NPI). METHODS A retrospective observational cohort study was applied to Taiwan community during the unprecedent large-scale outbreaks of Omicron BA.2 between April and August, 2022. Primary vaccination since March, 2021 and booster vaccination since January, 2022 were offered on population level. Oral Anti-viral therapy was also offered as of mid-May 2022. The population-based effectiveness of vaccination in reducing the risk of moderate and severe cases of and death from Omicron BA.2 with the consideration of NPI and oral anti-viral therapy were assessed by using Bayesian hierarchical models. RESULTS The risks of three clinical outcomes associated with Omicron VOC infection were lowest for booster vaccination, followed by primary vaccination, and highest for incomplete vaccination with the consistent trends of being at increased risk for three outcomes from the young people aged 12 years or below until the elderly people aged 75 years or older with 7 age groups. Before the period using oral anti-viral therapy, complete primary vaccination with the duration more than 9 months before outbreaks conferred the statistically significant 47 % (23-64 %) reduction of death, 48 % (30-61 %) of severe disease, and 46 % (95 % CI: 37-54 %) of moderate disease after adjusting for 10-20 % independent effect of NPI. The benefits of booster vaccination within three months were further enhanced to 76 % (95 % CI: 67-86 %), 74 % (95 % CI: 67-80 %), and 61 % (95 % CI: 56-65 %) for three corresponding outcomes. The additional effectiveness of oral anti-viral therapy in reducing moderate disease was 13 % for the booster group and 5.8 % for primary vaccination. CONCLUSIONS We corroborated population effectiveness of primary vaccination and its booster vaccination, independent of oral anti-viral therapy and NPI, in reducing severe clinical outcomes associated with Omicron BA.2 naïve infection population.
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Affiliation(s)
- Chen-Yang Hsu
- Master of Public Health Program, College of Public Health, National Taiwan University, Taipei, Taiwan; Daichung Hospital, Miaoli, Taiwan
| | - Jung-Chen Chang
- School of Nursing, College of Medicine, National Taiwan University, Taipei, Taiwan; Department of Nursing, National Taiwan University Hospital, Taipei,Taiwan
| | - Sam Li-Shen Chen
- School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan
| | - Hao-Hsiang Chang
- Department of Family Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Abbie Ting-Yu Lin
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Amy Ming-Feng Yen
- School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan.
| | - Hsiu-Hsi Chen
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
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19
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Wan EYF, Ng VWS, Chang RS, Yan VKC, Chui CSL, Wong CKH, Li X, Lai FTT, Chan EWY, Hung IFN, Lau KK, Wong ICK. Association between the risk of seizure and COVID-19 vaccinations: A self-controlled case-series study. Epilepsia 2022; 63:3100-3110. [PMID: 36226469 PMCID: PMC9874430 DOI: 10.1111/epi.17436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 10/10/2022] [Accepted: 10/10/2022] [Indexed: 01/27/2023]
Abstract
OBJECTIVE The risk of seizure following BNT162b2 and CoronaVac vaccinations has been sparsely investigated. This study aimed to evaluate this association. METHOD Patients who had their first seizure-related hospitalization between February 23, 2021 and January 31, 2022, were identified in Hong Kong. All seizure episodes happening on the day of vaccination (day 0) were excluded, since clinicians validated that most of the cases on day 0 were syncopal episodes. Within-individual comparison using a modified self-controlled case series analysis was applied to estimate the incidence rate ratio (IRR) with 95% confidence intervals (CIs) of seizure using conditional Poisson regression. RESULTS We identified 1656 individuals who had their first seizure-related hospitalization (BNT162b2: 426; CoronaVac: 263; unvaccinated: 967) within the observation period. The incidence of seizure was 1.04 (95% CI .80-1.33) and 1.11 (95% CI .80-1.50) per 100 000 doses of BNT162b2 and CoronaVac administered, respectively. Sixteen and 17 individuals, respectively, received a second dose after having a first seizure within 28 days after the first dose of BNT162b2 and CoronaVac vaccinations. None had recurrent seizures after the second dose. There was no increased risk during day 1-6 after the first (BNT162b2: IRR = 1.39, 95% CI = .75-2.58; CoronaVac: IRR = 1.19, 95% CI = .50-2.83) and second doses (BNT162b2: IRR = 1.36, 95% CI = .72-2.57; CoronaVac: IRR = .71, 95% CI = .22-2.30) of vaccinations. During 7-13, 14-20, and 21-27 days post-vaccination, no association was observed for either vaccine. SIGNIFICANCE The findings demonstrated no increased risk of seizure following BNT162b2 and CoronaVac vaccinations. Future studies will be warranted to evaluate the risk of seizure following COVID-19 vaccinations in different populations, with subsequent doses to ensure the generalizability.
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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 MedicineThe University of Hong KongHong Kong SARChina,Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina,Laboratory of Data Discovery for Health Limited (D4H)Hong Kong Science ParkHong Kong SARChina
| | - Vanessa Wai Sei Ng
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina
| | - Richard Shek‐Kwan Chang
- Division of Neurology, Department of Medicine, Queen Mary Hospital, Li Ka Shing Faculty of MedicineThe University of Hong KongHong KongChina
| | - Vincent Ka Chun Yan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health Limited (D4H)Hong Kong Science ParkHong Kong SARChina,School of Nursing, Li Ka Shing Faculty of MedicineThe University of Hong KongHong KongChina,School of Public Health, Li Ka Shing Faculty of MedicineThe University of Hong KongHong KongChina
| | - Carlos King Ho Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina,Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina,Laboratory of Data Discovery for Health Limited (D4H)Hong Kong Science ParkHong Kong SARChina
| | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina,Laboratory of Data Discovery for Health Limited (D4H)Hong Kong Science ParkHong Kong SARChina,Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of MedicineThe University of Hong KongHong KongChina
| | - Francisco Tsz Tsun Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina,Laboratory of Data Discovery for Health Limited (D4H)Hong Kong Science ParkHong Kong SARChina
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina,Laboratory of Data Discovery for Health Limited (D4H)Hong Kong Science ParkHong Kong SARChina,The University of Hong Kong Shenzhen Institute of Research and InnovationShenzhenChina,Department of PharmacyThe University of Hong Kong‐Shenzhen HospitalShenzhenChina
| | - Ivan Fan Ngai Hung
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of MedicineThe University of Hong KongHong KongChina
| | - Kui Kai Lau
- Division of Neurology, Department of Medicine, Queen Mary Hospital, Li Ka Shing Faculty of MedicineThe University of Hong KongHong KongChina,The State Key Laboratory of Brain and Cognitive SciencesThe University of Hong KongHong KongChina
| | - Ian Chi Kei Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina,Laboratory of Data Discovery for Health Limited (D4H)Hong Kong Science ParkHong Kong SARChina,Department of PharmacyThe University of Hong Kong‐Shenzhen HospitalShenzhenChina,Research Department of Practice and Policy, School of PharmacyUniversity College LondonLondonUK,Aston Pharmacy SchoolAston UniversityBirminghamUK
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