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Yan VKC, Zhang Y, Yang D, Li X, Mak LY, Lai FTT, Chui CSL, Wan EYF, Wong C, Chan SCW, Hung IFN, Lau CS, Chan EWY, Wong ICK. Post-acute sequelae of hospitalised COVID-19 re-infection compared with hospitalised first-time infection: a population-based retrospective cohort study in Hong Kong. BMJ PUBLIC HEALTH 2025; 3:e000833. [PMID: 40017919 PMCID: PMC11816715 DOI: 10.1136/bmjph-2023-000833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Accepted: 12/30/2024] [Indexed: 03/01/2025]
Abstract
Introduction COVID-19 infection is associated with post-acute adverse outcomes affecting multiple organ systems. Although preliminary studies have suggested that COVID-19 re-infection may have a cumulative effect on long-term outcome, differential effects of COVID-19 re-infection severe enough to be hospitalised on post-acute sequelae compared with hospitalised first-time infection have not been explored. Methods Retrospective cohort study using territory-wide electronic medical records databases in Hong Kong. Adults hospitalised with COVID-19 between 1 January and 30 November 2022, who survived the first 28 days after infection and was discharged, were categorised into re-infection and first-time infection groups. Individuals with reinfection were compared with those with first-time infection for all-cause mortality, all-cause hospital readmission, attendance to the emergency department and complications during the post-acute period using propensity-score-weighted Cox regression. Subgroup analyses were conducted by age (<65 and ≥65 years), sex, Charlson Comorbidity Index (0-4, ≥5), COVID-19 vaccination (0-1, 2+doses) and hospitalisation status of previous infection. Results 2244 patients with hospitalised COVID-19 re-infection and 58 894 patients with hospitalised first-time COVID-19 infection were included. After a median follow-up of 170 days, re-infection was associated with a significantly higher risk of post-acute all-cause mortality compared with first-time infection (adjusted HR (95% CI): 1.366 (1.166 to 1.600); incidence rate (95% CI): 7.3 (7.1 to 7.5) vs 4.6 (4.4 to 4.7) per 10 000 person-days), all-cause hospital readmission (1.297 (1.200 to 1.403); 50.5 (49.8 to 51.1) vs 28.1 (27.8 to 28.5)), and attendance to emergency departments (1.307 (1.199 to 1.425); 35.4 (34.8 to 35.9) vs 21.9 (21.6 to 22.2)). Findings were consistent across subgroups of age, sex, health status and vaccination status. A greater magnitude of increased risk was observed especially among those hospitalised during a previous infection. Conclusion Among patients with COVID-19 infection requiring hospitalisation, COVID-19 re-infection was associated with increased post-acute mortality and morbidity compared with first-time infection. Further studies are warranted to delineate the effects on complications.
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Affiliation(s)
- Vincent Ka Chun Yan
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
| | - Yin Zhang
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
| | - Deliang Yang
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
| | - Xue Li
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
- Laboratory of Data Discovery for Health, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
| | - Lung Yi Mak
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
| | - Francisco T T Lai
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
- Laboratory of Data Discovery for Health, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
| | - Celine S L Chui
- Laboratory of Data Discovery for Health, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
- School of Nursing, The University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
- School of Public Health, The University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
| | - Eric Yuk Fai Wan
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
- Laboratory of Data Discovery for Health, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
- Department of Family Medicine and Primary Care, The University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
| | - Carlos Wong
- Laboratory of Data Discovery for Health, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
- Department of Family Medicine and Primary Care, The University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, England, UK
- The Hong Kong Jockey Club Global Health Institute, Hong Kong, Hong Kong
| | - Shirley Chiu Wai Chan
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
| | - Ivan F N Hung
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
| | - Chak Sing Lau
- Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
| | - Esther Wai Yin Chan
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
- Laboratory of Data Discovery for Health, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
- Department of Pharmacy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China
- The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, Guangdong, China
| | - Ian Chi-Kei Wong
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
- Laboratory of Data Discovery for Health, Hong Kong, Hong Kong Special Administrative Region, Hong Kong
- Aston School of Pharmacy, Aston University, Birmingham, UK
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Wan EYF, Wong ZCT, Yan VKC, Chui CSL, Lai FTT, Li X, Wong ICK, Chan EWY. Comparing the effectiveness of molnupiravir and nirmatrelvir-ritonavir in non-hospitalized and hospitalized COVID-19 patients with type 2 diabetes: A target trial emulation study. Diabetes Obes Metab 2024; 26:4653-4664. [PMID: 39109461 DOI: 10.1111/dom.15830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2024] [Revised: 07/01/2024] [Accepted: 07/03/2024] [Indexed: 09/19/2024]
Abstract
AIMS To compare the effectiveness of molnupiravir and nirmatrelvir-ritonavir for non-hospitalized and hospitalized COVID-19 patients with type 2 diabetes (T2DM). MATERIALS AND METHODS Territory-wide electronic health records in Hong Kong were used to perform target trial emulation using a sequential trial approach. Patients (1) aged ≥18 years, (2) with T2DM, (3) with COVID-19 infection, and (4) who received molnupiravir or nirmatrelvir-ritonavir within 5 days of infection between 16 March 2022 and 31 December 2022 in non-hospital and hospital settings were included. Molnupiravir and nirmatrelvir-ritonavir initiators were matched using one-to-one propensity-score matching and followed for 28 days. Risk of outcomes was compared between groups by Cox regression adjusted for baseline characteristics. Subgroup analyses were performed on age (<70 years, ≥70 years), sex, Charlson comorbidity index (<4, ≥4), and number of COVID-19 vaccine doses (<2 doses, ≥2 doses). RESULTS Totals of 17 974 non-hospitalized (8987 in each group) and 3678 hospitalized (1839 in each group) patients were identified. Non-hospitalized nirmatrelvir-ritonavir initiators had lower risk of all-cause mortality (absolute risk reduction [ARR] at 28 days 0.80%, 95% confidence interval [CI] 0.56-1.04; hazard ratio [HR] 0.47, 95% CI 0.30-0.73) and hospitalization (ARR at 28 days 4.01%, 95% CI 3.19-4.83; HR 0.73, 95% CI 0.66-0.82) as compared with molnupiravir initiators. Hospitalized nirmatrelvir-ritonavir initiators had reduced risk of all-cause mortality (ARR at 28 days 2.94%, 95% CI 1.65-4.23; HR 0.56, 95% CI 0.40-0.80) as compared with molnupiravir initiators. Consistent findings were found across all subgroups. CONCLUSIONS The use of nirmatrelvir-ritonavir may be preferred to molnupiravir for COVID-19 patients with T2DM and without contraindication to either treatment.
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Affiliation(s)
- Eric Y F 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 Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, 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
| | - Zoey C T Wong
- 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
| | - Vincent K C 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 Special Administrative Region, China
| | - Celine S L Chui
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, 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
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Francisco T T 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 Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, 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 Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, 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
| | - Ian C K 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 Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
- Aston Pharmacy School, Aston University, Birmingham, UK
| | - Esther W Y 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 Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, 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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Pather S, Charpentier N, van den Ouweland F, Rizzi R, Finlayson A, Salisch N, Muik A, Lindemann C, Khanim R, Abduljawad S, Smith ER, Gurwith M, Chen RT. A Brighton Collaboration standardized template with key considerations for a benefit-risk assessment for the Comirnaty COVID-19 mRNA vaccine. Vaccine 2024; 42:126165. [PMID: 39197299 DOI: 10.1016/j.vaccine.2024.126165] [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: 04/23/2024] [Accepted: 07/18/2024] [Indexed: 09/01/2024]
Abstract
The Brighton Collaboration Benefit-Risk Assessment of VAccines by TechnolOgy (BRAVATO) Working Group evaluates the safety and other key features of new platform technology vaccines, including nucleic acid (RNA and DNA) vaccines. This manuscript uses the BRAVATO template to report the key considerations for a benefit-risk assessment of the coronavirus disease 2019 (COVID-19) mRNA-based vaccine BNT162b2 (Comirnaty®, or Pfizer-BioNTech COVID-19 vaccine) including the subsequent Original/Omicron BA.1, Original/Omicron BA.4-5 and Omicron XBB.1.5 variant-adapted vaccines developed by BioNTech and Pfizer to protect against COVID-19 caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Initial Emergency Use Authorizations or conditional Marketing Authorizations for the original BNT162b2 vaccine were granted based upon a favorable benefit-risk assessment taking into account clinical safety, immunogenicity, and efficacy data, which was subsequently reconfirmed for younger age groups, and by real world evidence data. In addition, the favorable benefit-risk assessment was maintained for the bivalent vaccines, developed against newly arising SARS-CoV-2 variants, with accumulating clinical trial data.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Emily R Smith
- Brighton Collaboration, a program of the Task Force for Global Health, Decatur, GA, USA.
| | - Marc Gurwith
- Brighton Collaboration, a program of the Task Force for Global Health, Decatur, GA, USA
| | - Robert T Chen
- Brighton Collaboration, a program of the Task Force for Global Health, Decatur, GA, USA
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Lai FTT, Wang B, Wei C, Chui CSL, Li X, Cheung CL, Wong ICK, Chan EWY, Wan EYF. Efficacy of COVID-19 Oral antivirals in hospitalised oldest-old with high morbidity burden: a target trial emulation study. Age Ageing 2024; 53:afae180. [PMID: 39141078 DOI: 10.1093/ageing/afae180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Indexed: 08/15/2024] Open
Abstract
BACKGROUND Molnupiravir and nirmatrelvir-ritonavir are orally administered pharmacotherapies for mild to moderate COVID-19. However, the effectiveness of these drugs among very old (≥80 years), hospitalised patients remains unclear, limiting the risk-benefit assessment of these antivirals in this specific group. This study investigates the effectiveness of these antivirals in reducing mortality among this group of hospitalised patients with COVID-19. METHODS Using a territory-wide public healthcare database in Hong Kong, a target trial emulation study was conducted with data from 13 642 eligible participants for the molnupiravir trial and 9553 for the nirmatrelvir-ritonavir trial. The primary outcome was all-cause mortality. Immortal time and confounding bias was minimised using cloning-censoring-weighting approach. Mortality odds ratios were estimated by pooled logistic regression after adjusting confounding biases by stabilised inverse probability weights. RESULTS Both molnupiravir (HR: 0.895, 95% CI: 0.826-0.970) and nirmatrelvir-ritonavir (HR: 0.804, 95% CI: 0.678-0.955) demonstrated moderate mortality risk reduction among oldest-old hospitalised patients. No significant interaction was observed between oral antiviral treatment and vaccination status. The 28-day risk of mortality was lower in initiators than non-initiators for both molnupiravir (risk difference: -1.09%, 95% CI: -2.29, 0.11) and nirmatrelvir-ritonavir (risk difference: -1.71%, 95% CI: -3.30, -0.16) trials. The effectiveness of these medications was observed regardless of the patients' prior vaccination status. CONCLUSIONS Molnupiravir and nirmatrelvir-ritonavir are moderately effective in reducing mortality risk among hospitalised oldest-old patients with COVID-19, regardless of their vaccination status.
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Affiliation(s)
- 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, 21 Sassoon Road, Southern District, 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, 21 Sassoon Road, Southern District, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), 19 Science Park West Avenue, Hong Kong Science Park, Tai Po District, Hong Kong Special Administrative Region, 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, 21 Sassoon Road, Southern District, Hong Kong Special Administrative Region, China
| | - Cuiling Wei
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 21 Sassoon Road, Southern District, Hong Kong Special Administrative Region, China
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D24H), 19 Science Park West Avenue, Hong Kong Science Park, Tai Po District, Hong Kong Special Administrative Region, China
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 21 Sassoon Road, Southern District, Hong Kong Special Administrative Region, China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 21 Sassoon Road, Southern District, Hong Kong Special Administrative Region, China
- Advanced Data Analytics for Medical Science (ADAMS) Limited, 19 Science Park West Avenue, Hong Kong Science Park, Tai Po District, 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, 21 Sassoon Road, Southern District, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), 19 Science Park West Avenue, Hong Kong Science Park, Tai Po District, Hong Kong Special Administrative Region, China
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 102 Pok Fu Lam Road, Southern District, Hong Kong Special Administrative Region, 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, 21 Sassoon Road, Southern District, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), 19 Science Park West Avenue, Hong Kong Science Park, Tai Po District, 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, 21 Sassoon Road, Southern District, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), 19 Science Park West Avenue, Hong Kong Science Park, Tai Po District, Hong Kong Special Administrative Region, China
- Aston Pharmacy School, Aston University, Birmingham, B4 7ET, United Kingdom
- Department of Pharmacy, The University of Hong Kong-Shenzhen Hospital, 1 Haiyuan First Road, Futian District, Shenzhen, China
- School of Pharmacy, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, 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, 21 Sassoon Road, Southern District, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), 19 Science Park West Avenue, Hong Kong Science Park, Tai Po District, 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, 21 Sassoon Road, Southern District, 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, 21 Sassoon Road, Southern District, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), 19 Science Park West Avenue, Hong Kong Science Park, Tai Po District, Hong Kong Special Administrative Region, China
- Advanced Data Analytics for Medical Science (ADAMS) Limited, 19 Science Park West Avenue, Hong Kong Science Park, Tai Po District, Hong Kong Special Administrative Region, China
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Beiglböck H, Ritschl V, Reichardt B, Zettinig G, Kautzky-Willer A, Wolf P, Stamm T, Krebs M. The impact of the SARS-CoV2 pandemic on the prescription of thyroid medication in Austria - A nationwide population-based registry analysis. J Infect Public Health 2024; 17:102445. [PMID: 38815533 DOI: 10.1016/j.jiph.2024.05.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 04/26/2024] [Accepted: 05/02/2024] [Indexed: 06/01/2024] Open
Abstract
BACKGROUND Case reports indicate a clinical connection between SARS-CoV-2 and thyroid dysfunctions. However, evidence from large population-based registry analyses is sparse, especially in Europe, where iodine deficiency is common. This study aimed to analyze the impact of the COVID-19 pandemic on healthcare provision for thyroid diseases in Austria. METHODS We performed a retrospective, population-based registry analysis of the Austrian health insurance fund database, covering more than 9 million inhabitants. Data from all patients with prescriptions of thyroid-specific drugs and/or inpatient thyroid-related diagnoses from 2017 to 2019 (pre-pandemic years) were compared to 2020 and 2021 (pandemic years; characterized by high numbers of SARS-CoV2 infections and population-wide vaccination strategy). The incidence rates of thyroid medication prescriptions for hypothyroidism and hyperthyroidism were calculated for every year to evaluate the impact of the pandemic. RESULTS The incidence rate for total thyroid medication prescription was 539.07/100,000 individuals (534.23-543.93 95%CI) in 2018 and declined during the pandemic (2020: 387.19/100,000 (383.12-391.29 95%CI); 2021: 336.90/100,000 (333.11-340.73 95%CI)). Similarly, the incidence rate for levothyroxine prescription was higher pre-pandemic (2018: 465.46/100,000 (460.97-469.98 95%CI) and declined during the pandemic (2020: 348.14/100,000 (344.28-352.03 95%CI); 2021: 300.30/100,000 (296.7-303.91 95%CI). The incidence rates of thiamazole prescriptions (2018: 10.24/100,000 (9.58-10.93 95%CI); 2020: 8.62/100,000 (8.03-9.26 95%CI); 2021: 11.17/100,000 (10.49-11.89 95%CI) were stable. CONCLUSIONS These findings suggest no clinically significant impact of SARS-CoV2 and/or vaccination on thyroid function at a population level.
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Affiliation(s)
- Hannes Beiglböck
- Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Valentin Ritschl
- Institute for Outcomes Research, Center for Medical Data Science, Medical University of Vienna, Spitalgasse 23, 1090 Vienna, Austria; Ludwig Boltzmann Institute for Arthritis and Rehabilitation, Vienna, Austria
| | | | - Georg Zettinig
- Vienna Thyroid Center Schilddrüsenpraxis Josefstadt, Laudongasse 12/8, Vienna 1080, Austria
| | - Alexandra Kautzky-Willer
- Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Peter Wolf
- Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Tanja Stamm
- Institute for Outcomes Research, Center for Medical Data Science, Medical University of Vienna, Spitalgasse 23, 1090 Vienna, Austria; Ludwig Boltzmann Institute for Arthritis and Rehabilitation, Vienna, Austria.
| | - Michael Krebs
- Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
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Lui DTW, Xiong X, Cheung CL, Lai FTT, Li X, Wan EYF, Chui CSL, Chan EWY, Cheng FWT, Li L, Chung MSH, Lee CH, Woo YC, Tan KCB, Wong CKH, Wong ICK. Risk of Incident Thyroid Dysfunction in the Post-Acute Phase of COVID-19: A Population-Based Cohort Study in Hong Kong. Endocr Pract 2024; 30:528-536. [PMID: 38552902 DOI: 10.1016/j.eprac.2024.03.389] [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: 01/22/2024] [Revised: 03/21/2024] [Accepted: 03/25/2024] [Indexed: 04/29/2024]
Abstract
OBJECTIVE The evidence of thyroid dysfunction in the post-acute phase of SARS-CoV-2 infection is limited. This study aimed to evaluate the risk of incident thyroid dysfunction in the post-acute phase of COVID-19. METHODS This retrospective, propensity-score matched, population-based study included COVID-19 patients and non-COVID-19 individuals between January 2020 and March 2022, identified from the electronic medical records of the Hong Kong Hospital Authority. The cohort was followed up until the occurrence of outcomes, death, or 31 January 2023, whichever came first. Patients with COVID-19 were 1:1 matched to controls based on various variables. The primary outcome was a composite of thyroid dysfunction (hyperthyroidism, hypothyroidism, initiation of antithyroid drug or levothyroxine, and thyroiditis). Cox regression was employed to evaluate the risk of incident thyroid dysfunction during the post-acute phase. RESULTS A total of 84 034 COVID-19 survivors and 84 034 matched controls were identified. Upon a median follow-up of 303 days, there was no significant increase in the risk of diagnosed thyroid dysfunction in the post-acute phase of COVID-19 (hazard ratio [HR] 1.058, 95% confidence interval 0.979-1.144, P = .154). Regarding the secondary outcomes, patients with COVID-19 did not have increased risk of hyperthyroidism (HR 1.061, P = .345), hypothyroidism (HR 1.062, P = .255), initiation of antithyroid drug (HR 1.302, P = .070), initiation of levothyroxine (HR 1.086, P = .426), or thyroiditis (P = .252). Subgroup and sensitivity analyses were largely consistent with the main analyses. CONCLUSION Our population-based cohort study provided important reassuring data that COVID-19 was unlikely to be associated with persistent effects on thyroid function.
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Affiliation(s)
- 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
| | - Xi Xiong
- Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ching-Lung Cheung
- Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, Li Ka Shing Faculty of Medicine, The 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; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, China
| | - Francisco Tsz Tsun Lai
- Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, Li Ka Shing Faculty of Medicine, The 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; Advanced Data Analytics for Medical Science (ADAMS) Limited, 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
| | - Xue Li
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, Li Ka Shing Faculty of Medicine, The 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; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, China
| | - Eric Yuk Fai Wan
- Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, Li Ka Shing Faculty of Medicine, The 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; Advanced Data Analytics for Medical Science (ADAMS) Limited, 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 (D(2)4H), Hong Kong Science and Technology Park, Hong Kong SAR, China; Advanced Data Analytics for Medical Science (ADAMS) Limited, 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
| | - Esther Wai Yin Chan
- Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, Li Ka Shing Faculty of Medicine, The 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
| | - Franco Wing Tak Cheng
- Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Lanlan Li
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Department of Surgery, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Matthew Shing Hin Chung
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, 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
- Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, Li Ka Shing Faculty of Medicine, The 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, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Department of Infectious Disease Epidemiology & Dynamics, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
| | - Ian Chi Kei Wong
- Department of Pharmacology and Pharmacy, Centre for Safe Medication Practice and Research, Li Ka Shing Faculty of Medicine, The 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; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, China; Aston Pharmacy School, Aston University, Birmingham, United Kingdom.
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7
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Chu WM, Wan EYF, Ting Wong ZC, Tam AR, Kei Wong IC, Yin Chan EW, Ngai Hung IF. Comparison of safety and efficacy between Nirmatrelvir-ritonavir and molnupiravir in the treatment of COVID-19 infection in patients with advanced kidney disease: a retrospective observational study. EClinicalMedicine 2024; 72:102620. [PMID: 38737003 PMCID: PMC11087721 DOI: 10.1016/j.eclinm.2024.102620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 04/14/2024] [Accepted: 04/15/2024] [Indexed: 05/14/2024] Open
Abstract
Background Nirmatrelvir-ritonavir is used in patients with coronavirus disease 2019 (COVID-19) with normal or mild renal impairment (eGFR ≥30 ml/min per 1.73 m2). There is limited data regarding its use in advanced kidney disease (eGFR <30 ml/min per 1.73 m2). We performed a retrospective territory-wide observational study evaluating the safety and efficacy of nirmatrelvir-ritonavir when compared with molnupiravir in the treatment of patients with COVID-19 with advanced kidney disease. Methods We adopted target trial emulation using data from a territory-wide electronic health record database on eligible patients aged ≥18 years with advanced kidney disease (history of eGFR <30 ml/min per 1.73 m2) who were infected with COVID-19 and were prescribed with either molnupiravir or nirmatrelvir-ritonavir within five days of infection during the period from 16 March 2022 to 31 December 2022. A sequence trial approach and 1:4 propensity score matching was applied based on the baseline covariates including age, sex, number of COVID-19 vaccine doses received, Charlson comorbidity index (CCI), hospitalisation, eGFR, renal replacement therapy, comorbidities (cancer, respiratory disease, myocardial infarction, ischaemic stroke, diabetes, hypertension), and drug use (renin-angiotensin-system agents, beta blockers, calcium channel blockers, diuretics, nitrates, lipid lowering agents, insulins, oral antidiabetic drugs, antiplatelets, immuno-suppressants, corticosteroids, proton pump inhibitors, histamine H2 receptor antagonists, monoclonal antibody infusion) within past 90 days. Individuals were followed up from the index date until the earliest outcome occurrence, death, 90 days from index date or the end of data availability. Stratified Cox proportional hazards regression adjusted with baseline covariates was used to compare the risk of outcomes between nirmatrelvir-ritonavir recipients and molnupiravir recipients which include (i) all-cause mortality, (ii) intensive care unit (ICU) admission, (iii) ventilatory support, (iv) hospitalisation, (v) hepatic impairment, (vi) ischaemic stroke, and (vii) myocardial infarction. Subgroup analyses included age (<70; ≥70 years); sex, Charlson comorbidity index (≤5; >5), and number of COVID-19 vaccine doses received (0-1; ≥2 doses). Findings A total of 4886 patients were included (nirmatrelvir-ritonavir: 1462; molnupiravir: 3424). There were 347 events of all-cause mortality (nirmatrelvir-ritonavir: 74, 5.06%; molnupiravir: 273, 7.97%), 10 events of ICU admission (nirmatrelvir-ritonavir: 4, 0.27%; molnupiravir: 6, 0.18%), 48 events of ventilatory support (nirmatrelvir-ritonavir: 13, 0.89%; molnupiravir: 35, 1.02%), 836 events of hospitalisation (nirmatrelvir-ritonavir: 218, 23.98%; molnupiravir: 618, 28.14%), 1 event of hepatic impairment (nirmatrelvir-ritonavir: 0, 0%; molnupiravir: 1, 0.03%), 8 events of ischaemic stroke (nirmatrelvir-ritonavir: 3, 0.22%; molnupiravir: 5, 0.16%) and 9 events of myocardial infarction (nirmatrelvir-ritonavir: 2, 0.15%; molnupiravir: 7, 0.22%). Nirmatrelvir-ritonavir users had lower rates of all-cause mortality (absolute risk reduction (ARR) at 90 days 2.91%, 95% CI: 1.47-4.36%) and hospitalisation (ARR at 90 days 4.16%, 95% CI: 0.81-7.51%) as compared with molnupiravir users. Similar rates of ICU admission (ARR at 90 days -0.09%, 95% CI: -0.4 to 0.2%), ventilatory support (ARR at 90 days 0.13%, 95% CI: -0.45 to 0.72%), hepatic impairment (ARR at 90 days 0.03%, 95% CI: -0.03 to 0.09%), ischaemic stroke (ARR at 90 days -0.06%, 95% CI: -0.35 to 0.22%), and myocardial infarction (ARR at 90 days 0.07%, 95% CI: -0.19 to 0.33%) were found between nirmatrelvir-ritonavir and molnupiravir users. Consistent results were observed in relative risk adjusted with baseline characteristics. Nirmatrelvir-ritonavir was associated with significantly reduced risk of all-cause mortality (HR: 0.624, 95% CI: 0.455-0.857) and hospitalisation (HR: 0.782, 95% CI: 0.64-0.954). Interpretation Patients with COVID-19 with advanced kidney disease receiving nirmatrelvir-ritonavir had a lower rate of all-cause mortality and hospital admission when compared with molnupiravir. Other adverse clinical outcomes were similar in both treatment groups. Funding Health and Medical Research Fund (COVID1903010), Health Bureau, The Government of the Hong Kong Special Administrative Region, China.
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Affiliation(s)
- Wing Ming Chu
- Division of Infectious Diseases, Department of Medicine, Queen Mary Hospital, Hong Kong SAR, China
| | - Eric Yuk Fai Wan
- 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
- Li Ka Shing Faculty of Medicine, Department of Family Medicine and Primary Care, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Zoey Cho Ting Wong
- Li Ka Shing Faculty of Medicine, Department of Family Medicine and Primary Care, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Anthony Raymond Tam
- Division of Infectious Diseases, Department of Medicine, Queen Mary Hospital, 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
- Aston Pharmacy School, Aston University, Birmingham, B4 7ET, UK
| | - 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
| | - Ivan Fan Ngai Hung
- Division of Infectious Diseases, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
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Abstract
The COVID-19 pandemic has affected over 772 million people globally. While lung damage is the major contributor to the morbidity and mortality of this disease, the involvement of multiple organs, including the endocrine glands, has been reported. This Review aims to provide an updated summary of evidence regarding COVID-19 and thyroid dysfunction, incorporating highlights of recent advances in the field, particularly in relation to long COVID and COVID-19 vaccination. Since subacute thyroiditis following COVID-19 was first reported in May 2020, thyroid dysfunction associated with COVID-19 has been increasingly recognized, secondary to direct and indirect effects on the hypothalamic-pituitary-thyroid axis. Here, we summarize the epidemiological evidence, pattern and clinical course of thyroid dysfunction following COVID-19 and examine radiological, molecular and histological evidence of thyroid involvement in SARS-CoV-2 infection. Beyond acute SARS-CoV-2 infection, it is also timely to examine the course and implication of thyroid dysfunction in the context of long COVID owing to the large population of survivors of COVID-19 worldwide. This Review also analyses the latest evidence on the relationship between the therapeutics and vaccination for COVID-19 and thyroid dysfunction. To conclude, evidence-based practice recommendations for thyroid function testing during and following COVID-19 and concerning COVID-19 vaccination are proposed.
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Affiliation(s)
- David Tak Wai Lui
- Division of Endocrinology and Metabolism, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Chi Ho Lee
- Division of Endocrinology and Metabolism, 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
- Division of Endocrinology and Metabolism, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ivan Fan Ngai Hung
- Division of Infectious Diseases, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Karen Siu Ling Lam
- Division of Endocrinology and Metabolism, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
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9
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Lai FTT, Yan VKC, Wan EYF, Chan CIY, Wei C, Cheng FWT, Chui CSL, Li X, Wong CKH, Cheung CL, Wong ICK, Chan EWY. COVID-19 vaccine effectiveness against the Omicron variant of SARS-CoV-2 in multimorbidity: A territory-wide case-control study. iScience 2024; 27:109428. [PMID: 38544567 PMCID: PMC10966310 DOI: 10.1016/j.isci.2024.109428] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 01/16/2024] [Accepted: 03/01/2024] [Indexed: 11/11/2024] Open
Abstract
Multimorbidity entails a higher risk of SARS-CoV-2 infection and COVID-19 complications. We examined vaccine effectiveness (VE) stratified by multimorbidity using a case-control study of territory-wide electronic health records in Hong Kong. Cases of infection (testing positive), hospitalization, and mortality were identified from January to March 2022. Controls were matched by age, sex, outpatient attendance/hospitalization date, and Charlson Comorbidity Index. We demonstrated a consistently good VE among people with increased multimorbidity burden; even more so than among those with minimal such burden. There was also a significantly greater VE after a third dose of BNT162b2 or CoronaVac against infection. The difference in VE between those with multimorbidity and those without was less pronounced for hospitalization, and such difference for COVID-19-related mortality was negligible. In conclusion, VE of both examined vaccines against SARS-CoV-2 infection among people with more complex multimorbidity burden is significant. Further vaccine roll-out should prioritize people with multimorbidity.
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Affiliation(s)
- 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 (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Advanced Data Analytics for Medical Science (ADAMS) Limited, 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
- 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, Hong Kong SAR, China
- Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, 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 SAR, China
| | - Cuiling Wei
- 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
| | - 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
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Advanced Data Analytics for Medical Science (ADAMS) Limited, 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
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Advanced Data Analytics for Medical Science (ADAMS) Limited, 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
| | - 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, Hong Kong SAR, China
- Department of Infectious Disease Epidemiology and Dynamics, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - 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
- Advanced Data Analytics for Medical Science (ADAMS) Limited, 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
- Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, 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 SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
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10
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Chen J, Pan L, Lu Y, Zhang T, Xu D, Yan S, Ouyang Z. Evolution of global scientific collaboration in mRNA vaccine research: Insights from bibliometric and social network analysis (2010~2023). Hum Vaccin Immunother 2023; 19:2276624. [PMID: 37964602 PMCID: PMC10653775 DOI: 10.1080/21645515.2023.2276624] [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: 07/03/2023] [Accepted: 10/25/2023] [Indexed: 11/16/2023] Open
Abstract
The field of mRNA vaccines has witnessed rapid development in recent years, leading to significant changes in global scientific collaboration. In this study, a bibliometric and social network analysis was conducted to reveal the evolution of global scientific collaboration in mRNA vaccine research. Altogether 6974 articles published since 2010 were retrieved and categorized into Period 1 (2010-2019), Period 2 (2020-2021) and Period 3 (2022-2023). During Period 2 and 3, there was a significant rise in the proportion of publications involving domestic inter-institutional cooperation (42.0%, 54.0% and 59.1%, respectively in Period 1, 2, and 3), while a significant decrease in international cooperation (32.1%, 23.7% and 21.0%). More countries participated in international collaboration during Period 2 and 3, with the US, the UK and Germany remaining top three throughout all periods, while some other countries like Italy, Japan, and China experiencing significant shifts. Significant correlations between collaboration type and publication impact and between geographical distance and collaborative publication counts were detected. Furthermore, significant changes in research focuses and institutions that are major contributors in the mRNA vaccine development have been observed. In conclusion, the mRNA vaccine field has experienced rapid development over the past decade, with significant evolutions of global scientific collaboration detected in our study.
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Affiliation(s)
- Juan Chen
- Institute of Medical Information/Medical Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Lizi Pan
- Institute of Medical Information/Medical Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yan Lu
- Institute of Medical Information/Medical Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Ting Zhang
- Institute of Medical Information/Medical Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Dongzi Xu
- Institute of Medical Information/Medical Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Shu Yan
- Institute of Medical Information/Medical Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Zhaolian Ouyang
- Institute of Medical Information/Medical Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
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11
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Wei J, Zhang F. Effects of SARS-CoV-2 infection on hypothyroidism and subclinical hypothyroidism: a meta-analysis. Front Endocrinol (Lausanne) 2023; 14:1291774. [PMID: 38111709 PMCID: PMC10726120 DOI: 10.3389/fendo.2023.1291774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 11/20/2023] [Indexed: 12/20/2023] Open
Abstract
Background In recent years, the outbreak of COVID-19 caused by SARS-CoV-2 has been witnessed globally. However, the impact of SARS-CoV-2 infection on thyroid dysfunction and subclinical thyroid dysfunction remains unclear. Therefore, this meta-analysis aimed to assess the effects of SARS-CoV-2 infection on thyroid dysfunction and its relationship with the severity of COVID-19. Methods We systematically searched databases including PubMed, Willey Library, Embase, Web of Science, CNKI, Wanfang, and VIP. We focused on randomized controlled trials, case-control studies, and cohort studies published between December 2019 and August 2023, examining the association between SARS-CoV-2 infection and hypothyroidism, with a specific emphasis on the severity of the infection. The quality of the research was assessed using the Newcastle-Ottawa Scale (NOS), while statistical analysis was conducted using the meta and metafor packages in R 4.2.1 software. Results For the meta-analysis, a total of eight articles were identified based on strict inclusion and exclusion criteria. For the association between SARS-CoV-2 infection and hypothyroidism, three studies (266 samples) comparing TSH levels of COVID-19 and control groups showed no difference in TSH levels [SMD=-0.04,95%CI(-1.22,1.15),P=0.95]. Additionally, two studies examining TT3 (a sample of 176 cases) and two studies examining TT4 (a sample of 176 cases) also showed no difference in TT3 and TT4 between the COVID-19 group and the control group, respectively. However, when evaluating the severity of COVID-19, six studies (565 samples) showed that TSH in the severe group was significantly lower than in the mild group [SMD = -0.55, 95% CI (-0.96, -0.14)], while FT3 was also lower in the severe group [SMD = -0.96, 95% CI (-1.24, -0.67)]. No noticeable differences were observed between the severe and mild groups in their TT3, FT4, and TT4 levels. Conclusion SARS-CoV-2 infection may have detrimental effects on thyroid function in individuals with severe symptoms. More research is needed to confirm and explore this relationship. Systematic Review Registration https://www.crd.york.ac.uk/PROSPERO, identifier CRD42023486042.
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Affiliation(s)
- Jiaqi Wei
- College of Medical Technology, Shanghai University of Medicine & Health Sciences, Shanghai, China
| | - Fenghua Zhang
- Department of Laboratory Medicine, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
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12
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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: 10] [Impact Index Per Article: 5.0] [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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13
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Chatzikalil E, Kattamis A, Diamantopoulos P, Solomou EE. New-onset aplastic anemia after SARS-CoV-2 vaccination. Int J Hematol 2023; 118:667-681. [PMID: 37768509 DOI: 10.1007/s12185-023-03666-z] [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: 03/24/2023] [Revised: 09/02/2023] [Accepted: 09/11/2023] [Indexed: 09/29/2023]
Abstract
Aplastic anemia (AA) is a rare autoimmune disease. Drugs, viruses, and radiation are among the most common etiologic factors, and most cases have immune pathophysiology. SARS-CoV-2 vaccines have been linked with rare side effects, including cases of acquired aplastic anemia. Here we review all the reported cases of new-onset AA after SARS-CoV-2 vaccination, and discuss their clinical characteristics and management. 18 patients in these case reports had a median age of 58 years. The time from vaccination to onset of aplastic anemia ranged from 1 day to 7 months, with a median of 2.5 weeks. Seventeen patients were diagnosed with severe or very severe aplastic anemia post-vaccination and all patients received standard treatments for acquired aplastic anemia. Seventeen patients achieved a complete or partial response and only 1 patient died. Aplastic anemia can be considered a very rare SARS-CoV-2 vaccine-related adverse event, although a causative relationship has not been proven. Reporting cases of such uncommon post-vaccination events could help clinicians to consider aplastic anemia when pancytopenia is observed after vaccination. The benefits of SARS-Cov-2 vaccination are established, and reports of rare events serve only to increase awareness in daily clinical practice.
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Affiliation(s)
- Elena Chatzikalil
- Department of Pediatrics, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | - Antonis Kattamis
- Department of Pediatrics, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | - Panagiotis Diamantopoulos
- First Department of Internal Medicine, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | - Elena E Solomou
- Internal Medicine-Hematology, University of Patras Medical School, 26500, Rion, Greece.
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Wan EYF, Yan VKC, Wong ZCT, Chui CSL, Lai FTT, Li X, Wong CKH, Hung IFN, Lau CS, Wong ICK, Chan EWY. Effectiveness of molnupiravir vs nirmatrelvir-ritonavir in non-hospitalised and hospitalised patients with COVID-19: a target trial emulation study. EClinicalMedicine 2023; 64:102225. [PMID: 37753272 PMCID: PMC10518465 DOI: 10.1016/j.eclinm.2023.102225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 09/03/2023] [Accepted: 09/05/2023] [Indexed: 09/28/2023] Open
Abstract
Background Molnupiravir and nirmatrelvir-ritonavir have emerged as promising options for COVID-19 treatment, but direct comparisons of their effectiveness have been limited. This study aimed to compare the effectiveness of these two oral antiviral drugs in non-hospitalised and hospitalised patients with COVID-19. Methods In this target trial emulation study, we used data from a territory-wide electronic health records database on eligible patients aged ≥18 years infected with COVID-19 who were prescribed either molnupiravir or nirmatrelvir-ritonavir within five days of infection between 16 March 2022 and 31 December 2022 in the non-hospitalised and hospitalised settings in Hong Kong. A sequence trial approach and 1:1 propensity score matching was applied based on age, sex, number of COVID-19 vaccine doses received, Charlson comorbidity index, comorbidities, and drug use within past 90 days. Cox regression adjusted with patients' characteristics was used to compare the risk of effectiveness outcomes (all-cause mortality, intensive care unit (ICU) admission or ventilatory support and hospitalisation) between groups. Subgroup analyses included age (<70; ≥70 years); sex, Charlson comorbidity index (<4; ≥4), and number of COVID-19 vaccine doses received (0-1; ≥2 doses). Findings A total of 63,522 non-hospitalised (nirmatrelvir-ritonavir: 31,761; molnupiravir: 31,761) and 11,784 hospitalised (nirmatrelvir-ritonavir: 5892; molnupiravir: 5892) patients were included. In non-hospitalised setting, 336 events of all-cause mortality (nirmatrelvir-ritonavir: 71, 0.22%; molnupiravir: 265, 0.83%), 162 events of ICU admission or ventilatory support (nirmatrelvir-ritonavir: 71, 0.22%; molnupiravir: 91, 0.29%), and 4890 events of hospitalisation (nirmatrelvir-ritonavir: 1853, 5.83%; molnupiravir: 3037, 9.56%) were observed. Lower risks of all-cause mortality (absolute risk reduction (ARR) at 28 days: 0.61%, 95% CI: 0.50-0.72; HR: 0.43, 95% CI: 0.33-0.56) and hospital admission (ARR at 28 days: 3.73%, 95% CI: 3.31-4.14; HR: 0.72, 95% CI: 0.67-0.76) were observed in nirmatrelvir-ritonavir users compared to molnupiravir users. In hospitalised setting, 509 events of all-cause mortality (nirmatrelvir-ritonavir: 176, 2.99%; molnupiravir: 333, 5.65%), and 50 events of ICU admission or ventilatory support (nirmatrelvir-ritonavir: 26, 0.44%; molnupiravir: 24, 0.41%) were observed. Risk of all-cause mortality was lower for nirmatrelvir-ritonavir users than for molnupiravir users (ARR at 28 days: 2.66%, 95% CI: 1.93-3.40; HR: 0.59, 95% CI: 0.49-0.71). In both settings, there was no difference in the risk of intensive care unit admission or ventilatory support between groups. The findings were consistent across all subgroup's analyses. Interpretation Our analyses suggest that nirmatrelvir-ritonavir was more effective than molnupiravir in reducing the risk of all-cause mortality in both non-hospitalised and hospitalised patients. When neither drug is contraindicated, nirmatrelvir-ritonavir may be considered the more effective option. Funding HMRF Research on COVID-19, The Hong Kong Special Administrative Region (HKSAR) Government; Collaborative Research Fund, University Grants Committee, the HKSAR Government; and Research Grant from the Food and Health Bureau, the HKSAR Government; the Laboratory of Data Discovery for Health (D24H) funded by the AIR@InnoHK administered by Innovation and Technology Commission.
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Affiliation(s)
- Eric Yuk Fai Wan
- 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
- Li Ka Shing Faculty of Medicine, Department of Family Medicine and Primary Care, School of Clinical Medicine, 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
| | - Zoey Cho Ting Wong
- Li Ka Shing Faculty of Medicine, Department of Family Medicine and Primary Care, School of Clinical 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
- Li Ka Shing Faculty of Medicine, School of Nursing, The University of Hong Kong, Hong Kong SAR, China
- Li Ka Shing Faculty of Medicine, School of Public Health, 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
| | - Xue Li
- 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
- Li Ka Shing Faculty of Medicine, Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Carlos King Ho 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
- Li Ka Shing Faculty of Medicine, Department of Family Medicine and Primary Care, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ivan Fan Ngai Hung
- Li Ka Shing Faculty of Medicine, Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Chak Sing Lau
- Li Ka Shing Faculty of Medicine, Department of Medicine, School of Clinical Medicine, The University of Hong Kong, 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
- Aston Pharmacy School, Aston University, Birmingham B4 7ET, UK
| | - 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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15
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Xu S, Yu H, Cheng X, Wu J, Bao J, Zhang L. Inactivated SARS-CoV-2 vaccination does not disturb the clinical course of Graves' disease: An observational cohort study. Vaccine 2023; 41:5648-5654. [PMID: 37544826 DOI: 10.1016/j.vaccine.2023.07.053] [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: 01/08/2023] [Revised: 07/24/2023] [Accepted: 07/24/2023] [Indexed: 08/08/2023]
Abstract
SARS-CoV-2 vaccination has been reported to be associated with the induction of thyroid disorders. To investigate the influence of SARS-CoV-2 vaccination on the disease course of patients who were undergoing treatment for Graves' disease (GD), a total of 651 consecutive GD patients who attended follow-up visits in Jiangyuan Hospital were enrolled in this retrospective study, including 443 inactivated SARS-CoV-2 vaccine recipients and 208 unvaccinated participants. The changes in serum levels of free triiodothyronine (fT3), free thyroxine (fT4), thyroid stimulating hormone (TSH) and TSH receptor antibody (TRAb) were analyzed. Crude and adjusted hazard ratios (HRs) were estimated using Cox regression models to investigate the risks in incident TRAb positivity and hyperthyroidism recurrence following vaccination. The median levels of TRAb and fT3 significantly decreased in both vaccinated and unvaccinated groups during the GD hyperthyroidism treatment. The fT4 levels of both groups were well within normal limits and presented downward trends simultaneously. Although the present study observed an increasing trend of TSH level during follow-up, significant difference was not seen in both vaccinated and unvaccinated groups. Except for newly diagnosed GD patients, vaccinated participants had significantly lower risks of incident TRAb positivity (adjusted HR = 0.22; 95%CI: 0.10-0.48, P < 0.001) after adjusted for sex, age, disease duration and MMI dose at baseline. Besides, vaccination was unlikely to serve as a risk factor for hyperthyroidism recurrence (adjusted HR = 1.20; 95%CI: 0.51-2.83, P = 0.678). Notably, newly diagnosed patients who received vaccination were just as likely to achieve remission of thyrotoxicosis as those not receiving the vaccination at any time. Our results concluded that inactivated SARS-CoV-2 vaccination would not disturb the treatment course among GD hyperthyroidism patients.
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Affiliation(s)
- Shichen Xu
- NHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, Jiangsu 214063, China.
| | - Huixin Yu
- NHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, Jiangsu 214063, China.
| | - Xian Cheng
- NHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, Jiangsu 214063, China.
| | - Jing Wu
- NHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, Jiangsu 214063, China.
| | - Jiandong Bao
- NHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, Jiangsu 214063, China.
| | - Li Zhang
- NHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, Jiangsu 214063, China; Department of Radiopharmaceuticals, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China; School of Life Science and Technology, Southeast University, Nanjing 210096, China.
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16
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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: 2.0] [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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17
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Zhang Y, Zhu S, Gao Y. Letter to the Editor From Zhang et al: "Effect of Inactivated and mRNA COVID-19 Vaccination on Thyroid Function Among Patients Treated for Hyperthyroidism". J Clin Endocrinol Metab 2023; 108:e497-e498. [PMID: 36848137 DOI: 10.1210/clinem/dgad094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 01/28/2023] [Accepted: 02/14/2023] [Indexed: 03/01/2023]
Affiliation(s)
- Yang Zhang
- Department of Endocrinology, Peking University First Hospital, Beijing 100034, China
| | - Sainan Zhu
- Department of Biostatistics, Peking University First Hospital, Beijing 100034, China
| | - Ying Gao
- Department of Endocrinology, Peking University First Hospital, Beijing 100034, China
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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: 14] [Impact Index Per Article: 7.0] [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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19
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Wong CH, Leung EKH, Tang LCK, Lee CH, Fong CHY, Lee ACH, Woo YC, Tan KCB, Lui DTW. Effect of Inactivated and mRNA COVID-19 Vaccination on Thyroid Function Among Patients Treated for Hyperthyroidism. J Clin Endocrinol Metab 2023; 108:e76-e88. [PMID: 36453154 DOI: 10.1210/clinem/dgac684] [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: 08/17/2022] [Revised: 11/03/2022] [Accepted: 11/28/2022] [Indexed: 12/02/2022]
Abstract
CONTEXT Reports of thyroid dysfunction following COVID-19 vaccination included cases of relapse of Graves' disease and worsening of pre-existing Graves' disease. Little is known about the thyroid-specific outcomes among patients treated for hyperthyroidism who have received COVID-19 vaccination. OBJECTIVE Among patients treated for hyperthyroidism, we evaluated factors associated with not receiving the COVID-19 vaccination and whether COVID-19 vaccination was associated with thyroid function instability. METHODS We included consecutive patients treated for hyperthyroidism attending the thyroid clinic at a teaching hospital between January and September 2021. They were categorized into vaccinated and unvaccinated groups. The index date was the date of first-dose vaccination for the vaccinated group, and the first date of attendance in the inclusion period for the unvaccinated group. They were followed up until March 2022 or occurrence of thyroid function instability (worsening of thyroid function/increase in antithyroid drug dosage), whichever was earlier. RESULTS A total of 910 patients were included (mean age 51.6 years; 82.1% female). Of these, 86.2% had Graves disease and 67.3% were vaccinated (67.3% BNT162b2; 30.6% CoronaVac; 2.1% heterologous). Abnormal thyroid function and cardiovascular comorbidities were independently associated with unvaccinated status. Upon median follow-up of 5.3 months, thyroid function instability occurred in 15.9% of patients. COVID-19 vaccination did not increase risks of thyroid function instability (hazard ratio 0.78, 95% CI 0.56-1.09, P = .151); this was consistent in Graves disease, both types of vaccines, and regardless of whether baseline thyroid function was normal. Twenty-seven patients overtly thyrotoxic at the time of vaccination received COVID-19 vaccines without triggering a thyroid storm or difficulty in subsequent thyroid function control. CONCLUSION Among patients treated for hyperthyroidism, abnormal thyroid function was a factor predicting unvaccinated status. Our results should encourage patients treated for hyperthyroidism to receive COVID-19 vaccination to protect themselves from adverse outcomes and potential long-term sequelae of COVID-19.
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Affiliation(s)
- Chun Ho Wong
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Eunice Ka Hong Leung
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Lawrence Chi Kin Tang
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Chi Ho Lee
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Carol Ho Yi Fong
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Alan Chun Hong Lee
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Yu Cho Woo
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, 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, 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, University of Hong Kong, Hong Kong SAR, China
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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: 31] [Impact Index Per Article: 15.5] [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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21
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Zhao Y, Zhao Y, Zhang Y, Li M, Su X, Zhou Y, Zhang Z, Jin L. Association of COVID-19 vaccination before conception with maternal thyroid function during early pregnancy: A single-center study in China. J Med Virol 2023; 95:e28245. [PMID: 36262113 PMCID: PMC9874602 DOI: 10.1002/jmv.28245] [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: 08/10/2022] [Revised: 10/03/2022] [Accepted: 10/17/2022] [Indexed: 01/28/2023]
Abstract
Despite the high vaccination coverage, potential COVID-19 vaccine-induced adverse effects, especially in pregnant women, have not been fully characterized. We examined the association between COVID-19 vaccination before conception and maternal thyroid function during early pregnancy. We conducted a retrospective cohort study in Shanghai, China. A total of 6979 pregnant women were included. Vaccine administration was obtained from electronic vaccination records. Serum levels of thyroid hormone were measured by fluorescence and chemiluminescence immunoassays. Among the 6979 included pregnant women, 3470 (49.7%) received at least two doses of an inactivated vaccine. COVID-19 vaccination had a statistically significant association with both maternal serum levels of free thyroxine (FT4) and thyroid stimulating hormone (TSH). Compared with unvaccinated pregnant women, the mean FT4 levels were lower in pregnant women who had been vaccinated within 3 months before the date of conception by 0.27 pmol/L (β = -0.27, 95% confidence interval [CI], -0.42, -0.12), and the mean TSH levels were higher by 0.08 mIU/L (β = 0.08, 95% CI, 0.00, 0.15). However, when the interval from vaccination to conception was prolonged to more than 3 months, COVID-19 vaccination was not associated with serum FT4 or TSH levels. Moreover, we found that COVID-19 vaccination did not significantly associate with maternal hypothyroidism. Our study suggested that vaccination with inactivated COVID-19 vaccines before conception might result in a small change in maternal thyroid function, but this did not reach clinically significant levels.
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Affiliation(s)
- Yan Zhao
- Shanghai Key Laboratory of Maternal‐Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Yongbo Zhao
- Shanghai Key Laboratory of Maternal‐Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Yijun Zhang
- Shanghai Key Laboratory of Maternal‐Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Mengyuan Li
- Shanghai Key Laboratory of Maternal‐Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Xin Su
- Shanghai Key Laboratory of Maternal‐Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Yicheng Zhou
- Shanghai Key Laboratory of Maternal‐Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Ziyi Zhang
- Shanghai Key Laboratory of Maternal‐Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Liping Jin
- Shanghai Key Laboratory of Maternal‐Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of MedicineTongji UniversityShanghaiChina
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22
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Wu D, Nam R, Leung KSK, Waraich H, Purnomo A, Chou OHI, Perone F, Pawar S, Faraz F, Liu H, Zhou J, Liu T, Chan JSK, Tse G. Population-Based Clinical Studies Using Routinely Collected Data in Hong Kong, China: A Systematic Review of Trends and Established Local Practices. CARDIOVASCULAR INNOVATIONS AND APPLICATIONS 2023; 8. [DOI: 10.15212/cvia.2023.0073] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2024] Open
Abstract
Background: Routinely collected health data are increasingly used in clinical research. No study has systematically reviewed the temporal trends in the number of publications and analyzed different aspects of local research practices and their variations in Hong Kong, China, with a specific focus on research ethics governance and approval.
Methods: PubMed was systematically searched from its inception to March 28, 2023, for studies using routinely collected healthcare data from Hong Kong.
Results: A total of 454 studies were included. Between 2000 and 2009, 32 studies were identified. The number of publications increased from 5 to 120 between 2010 and 2022. Of the investigator-led studies using the Hospital Authority (HA)’s cross-cluster data (n = 393), 327 (83.2%) reported receiving ethics approval from a single cluster/university-based REC, whereas 50 studies (12.7%) did not report approval from a REC. For use of the HA Data Collaboration Lab, approval by a single hospital-based or University-based REC is accepted. Repeated submission of identical ethics applications to different RECs is estimated to cost HK$4.2 million yearly.
Conclusions: Most studies reported gaining approval from a single cluster REC before retrieval of cross-cluster HA data. Substantial cost savings would result if repeated review of identical ethics applications were not required.
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23
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Wan EYF, Mok AHY, Yan VKC, Chan CIY, Wang B, Lai FTT, Chui CSL, Li X, Wong CKH, Lau CS, Wong ICK, Chan EWY. Effectiveness of BNT162b2 and CoronaVac vaccinations against SARS-CoV-2 omicron infection in people aged 60 years or above: a case-control study. J Travel Med 2022; 29:6761907. [PMID: 36250571 PMCID: PMC9619717 DOI: 10.1093/jtm/taac119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 10/02/2022] [Accepted: 10/06/2022] [Indexed: 01/11/2023]
Abstract
BACKGROUND In view of limited evidence that specifically addresses vaccine effectiveness (VE) in the older population, this study aims to evaluate the real-world effectiveness of BNT162b2 and CoronaVac in older adults during the Omicron BA.2 outbreak. METHODS This case-control study analyzed data available between January and March 2022 from the electronic health databases in Hong Kong and enrolled individuals aged 60 or above. Each case was matched with up to 10 controls by age, sex, index date and Charlson Comorbidity Index for the four outcomes (COVID-19 infection, COVID-19-related hospitalization, severe complications, and all-cause mortality) independently. Conditional logistic regression was conducted to evaluate VE of BNT162b2 and CoronaVac against COVID-19-related outcomes within 28 days after COVID-19 infection among participants stratified by age groups (60-79, ≥80 years old). RESULTS A dose-response relationship between the number of vaccine doses received and protection against severe or fatal disease was observed. Highest VE (95% CI) against COVID-19 infection was observed in individuals aged ≥80 who received three doses of BNT162b2 [75.5% (73.1-77.7%)] or three doses of CoronaVac [53.9% (51.0-56.5%)] compared to those in the younger age group who received three doses of BNT162b2 [51.1% (49.9-52.4%)] or three doses of CoronaVac [2.0% (-0.1-4.1%)]. VE (95% CI) was higher for other outcomes, reaching 91.9% (89.4-93.8%) and 86.7% (84.3-88.8%) against COVID-19-related hospitalization; 85.8% (61.2-94.8%) and 89.8% (72.4-96.3%) against COVID-19-related severe complications; and 96.4% (92.9-98.2%) and 95.0% (92.1-96.8%) against COVID-19-related mortality after three doses of BNT162b2 and CoronaVac in older vaccine recipients, respectively. A similar dose-response relationship was established in younger vaccine recipients and after stratification by sex and Charlson Comorbidity Index. CONCLUSION Both BNT162b2 and CoronaVac vaccination were effective in protecting older adults against COVID-19 infection and COVID-19-related severe outcomes amidst the Omicron BA.2 pandemic, and VE increased further with the third dose.
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Affiliation(s)
- Eric Yuk Fai Wan
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong Special Administrative Region, China.,Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, 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
| | - 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 Special Administrative Region, China
| | - Vincent Ka Chun Yan
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong Special Administrative Region, 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 Special Administrative Region, 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 Special Administrative Region, China
| | - Francisco Tsz Tsun Lai
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong Special Administrative Region, China.,Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, 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.,School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Xue Li
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong Special Administrative Region, China.,Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, 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
| | - Carlos King Ho Wong
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong Special Administrative Region, China.,Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, 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
| | - Chak Sing Lau
- 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
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong Special Administrative Region, China.,Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China.,Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK.,Aston Pharmacy School, Aston University, Birmingham, UK.,Department of Pharmacy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Esther Wai Yin Chan
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, Centre for Safe Medication Practice and Research, The University of Hong Kong, Hong Kong Special Administrative Region, China.,Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, 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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24
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di Filippo L, Castellino L, Allora A, Frara S, Lanzi R, Perticone F, Valsecchi F, Vassallo A, Giubbini R, Rosen CJ, Giustina A. Distinct Clinical Features of Post-COVID-19 Vaccination Early-onset Graves' Disease. J Clin Endocrinol Metab 2022; 108:107-113. [PMID: 36130234 DOI: 10.1210/clinem/dgac550] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 09/14/2022] [Indexed: 02/03/2023]
Abstract
CONTEXT Several case reports of Graves' disease (GD) occurrence after COVID-19 vaccination that are possibly related to the autoimmune syndrome induced by adjuvants (ASIA) were published recently. OBJECTIVE The aim of our study was to evaluate possible distinctive features in the presentation and clinical course of patients with GD occurring early (within 4 weeks) after COVID-19 vaccination who attended our Endocrine Unit in 2021. METHODS Patients with a first episode of GD attending a tertiary endocrine center between January 1, 2021, and December 31, 2021, were included. RESULTS Sixty-four patients with a first episode of GD were seen in 2021: 20 (31.2%) of them had onset within 4 weeks following vaccine administration. Compared with the other 44 patients, the 20 patients with postvaccine early-onset (PoVEO) GD were older (median age 51 years vs 35 years, P = .003) and more likely to be male (40.0% vs 13.6%, P = .018). At diagnosis, the biochemical and immune profiles were similar between the 2 groups. However, at 3 months after starting methimazole, patients with PoVEO GD had significantly lower thyrotropin receptor antibody titer and were taking lower doses of methimazole than the other patients with GD. None in the PoVEO group had sustained free triiodothyronine elevation. CONCLUSION This relatively large series suggests that in 2021 PoVEO GD may be a new nosologic entity representing one-third of patients evaluated for new-onset GD in our center. Distinctive features included older age at onset, higher male prevalence, and a better initial biochemical and immunologic response to treatment. Further studies are warranted to clinically and biochemically differentiate these cases from sporadically occurring GD.
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Affiliation(s)
- Luigi di Filippo
- Institute of Endocrine and Metabolic Sciences, Università Vita-Salute San Raffaele, IRCCS Ospedale San Raffaele, Milan 20132, Italy
| | - Laura Castellino
- Institute of Endocrine and Metabolic Sciences, Università Vita-Salute San Raffaele, IRCCS Ospedale San Raffaele, Milan 20132, Italy
| | - Agnese Allora
- Institute of Endocrine and Metabolic Sciences, Università Vita-Salute San Raffaele, IRCCS Ospedale San Raffaele, Milan 20132, Italy
| | - Stefano Frara
- Institute of Endocrine and Metabolic Sciences, Università Vita-Salute San Raffaele, IRCCS Ospedale San Raffaele, Milan 20132, Italy
| | - Roberto Lanzi
- Institute of Endocrine and Metabolic Sciences, Università Vita-Salute San Raffaele, IRCCS Ospedale San Raffaele, Milan 20132, Italy
| | - Francesca Perticone
- Institute of Endocrine and Metabolic Sciences, Università Vita-Salute San Raffaele, IRCCS Ospedale San Raffaele, Milan 20132, Italy
| | - Fanny Valsecchi
- Institute of Endocrine and Metabolic Sciences, Università Vita-Salute San Raffaele, IRCCS Ospedale San Raffaele, Milan 20132, Italy
| | - Alberto Vassallo
- Institute of Endocrine and Metabolic Sciences, Università Vita-Salute San Raffaele, IRCCS Ospedale San Raffaele, Milan 20132, Italy
| | - Raffaele Giubbini
- Institute of Endocrine and Metabolic Sciences, Università Vita-Salute San Raffaele, IRCCS Ospedale San Raffaele, Milan 20132, Italy
| | - Clifford J Rosen
- Center for Clinical and Translational Research, Maine Medical Center Research Institute, Scarborough, ME 04074, USA
| | - Andrea Giustina
- Institute of Endocrine and Metabolic Sciences, Università Vita-Salute San Raffaele, IRCCS Ospedale San Raffaele, Milan 20132, Italy
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25
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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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26
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Lai FTT, Chua GT, Chan EWW, Huang L, Kwan MYW, Ma T, Qin X, Chui CSL, Li X, Wan EYF, Wong CKH, Chan EWY, Wong ICK, Ip P. Adverse events of special interest following the use of BNT162b2 in adolescents: a population-based retrospective cohort study. Emerg Microbes Infect 2022; 11:885-893. [PMID: 35254219 PMCID: PMC8942549 DOI: 10.1080/22221751.2022.2050952] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 03/03/2022] [Indexed: 12/21/2022]
Abstract
Accruing evidence suggests an increased risk of myocarditis in adolescents from messenger RNA COVID-19 vaccines. However, other potential adverse events remain under-researched. We conducted a retrospective cohort study of adolescents aged 12-18 with a territory-wide electronic healthcare database of the Hong Kong population linked with population-based vaccination records and supplemented with age- and sex-specific population numbers. Two age- and sex-matched retrospective cohorts were formed to observe 28 days following the first and second doses of BNT162b2 and estimate the age- and sex-adjusted incidence rate ratios between the vaccinated and unvaccinated. Thirty AESIs adapted from the World Health Organization's Global Advisory Committee on Vaccine Safety were examined. Eventually, the first-dose cohort comprised 274,881 adolescents (50.25% received the first dose) and the second-dose cohort 237,964 (50.29% received the second dose). Ninety-four (34.2 per 100,000 persons) adolescents in the first-dose cohort and 130 (54.6 per 100,000 persons) in the second-dose cohort experienced ≥1 AESIs. There were no statistically significant differences in the risk of any AESI associated with BNT162b2 except myocarditis [first-dose cohort: incidence rate ratio (IRR) = 9.15, 95% confidence interval (CI) 1.14-73.16; second-dose cohort: IRR = 29.61, 95% CI 4.04-217.07] and sleeping disturbances/disorders after the second dose (IRR = 2.06, 95% CI 1.01-4.24). Sensitivity analysis showed that, with myocarditis excluded as AESIs, no significantly elevated risk of AESIs as a composite outcome associated with vaccination was observed (P = 0.195). To conclude, the overall absolute risk of AESIs was low with no evidence of an increased risk of AESIs except myocarditis and sleeping disturbances/disorders.
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Affiliation(s)
- 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 Special Administrative Region, People’s Republic of China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, People’s Republic of China
| | - Gilbert T. Chua
- Department of Paediatrics and Adolescent Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, People’s Republic of China
- Department of Paediatrics and Adolescent Medicine, Hong Kong Children’s Hospital, Hong Kong Special Administrative Region, People’s Republic of China
| | - Edward Wai Wa 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 Special Administrative Region, People’s Republic of China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, People’s Republic of China
| | - Lei Huang
- 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 Special Administrative Region, People’s Republic of China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, People’s Republic of China
| | - Mike Yat Wah Kwan
- Department of Paediatrics and Adolescent Medicine, Hong Kong Children’s Hospital, Hong Kong Special Administrative Region, People’s Republic of China
- Department of Paediatrics and Adolescent Medicine, Princess Margaret Hospital, Hong Kong Special Administrative Region, People’s Republic of China
| | - Tiantian Ma
- 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 Special Administrative Region, People’s Republic of China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, People’s Republic of China
| | - Xiwen Qin
- 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 Special Administrative Region, People’s Republic of China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, People’s Republic of China
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, People’s Republic of China
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, People’s Republic of China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, 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 Special Administrative Region, People’s Republic of China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, 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 Special Administrative Region, 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 Special Administrative Region, People’s Republic of China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, 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 Special Administrative Region, 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 Special Administrative Region, People’s Republic of China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, 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 Special Administrative Region, 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 Special Administrative Region, People’s Republic of China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, 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 Special Administrative Region, People’s Republic of China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, People’s Republic of China
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK
| | - Patrick Ip
- Department of Paediatrics and Adolescent Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, People’s Republic of China
- Department of Paediatrics and Adolescent Medicine, Hong Kong Children’s Hospital, Hong Kong Special Administrative Region, People’s Republic of China
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27
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Wong CKH, Mak LY, Au ICH, Lai FTT, Li X, Wan EYF, Chui CSL, Chan EWY, Cheng WY, Cheng FWT, Yuen MF, Wong ICK. Risk of acute liver injury following the mRNA (BNT162b2) and inactivated (CoronaVac) COVID-19 vaccines. J Hepatol 2022; 77:1339-1348. [PMID: 35817224 PMCID: PMC9376738 DOI: 10.1016/j.jhep.2022.06.032] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 06/09/2022] [Accepted: 06/28/2022] [Indexed: 12/11/2022]
Abstract
BACKGROUND & AIMS Case reports of severe acute liver injury (ALI) following COVID-19 vaccination have recently been published. We evaluated the risks of ALI following COVID-19 vaccination (BNT162b2 or CoronaVac). METHODS We conducted a modified self-controlled case series analysis using the vaccination records in Hong Kong with data linkage to electronic medical records from a territory-wide healthcare database. Incidence rate ratios (IRRs) for ALI outcome in the 56-day period following first and second doses of COVID-19 vaccines in comparison to the non-exposure period were estimated and compared to the ALI risk in patients with SARS-CoV-2 infection. RESULTS Among 2,343,288 COVID-19 vaccine recipients who were at risk, 4,677 patients developed ALI for the first time between 23rd February 2021 to 30th September 2021. The number of ALI cases within 56 days after the first and second dose of vaccination were 307 and 521 (335 and 334 per 100,000 person-years) for BNT162b2, and 304 and 474 (358 and 403 per 100,000 person-years) for CoronaVac, respectively, compared to 32,997 ALI cases per 100,000 person-years among patients within 56 days of SARS-CoV-2 infection. Compared to the non-exposure period, no increased risk was observed in the 56-day risk period for first (IRR 0.800; 95% CI 0.680-0.942) and second (IRR 0.944; 95% CI 0.816-1.091) dose of BNT162b2, or first (IRR 0.689; 95% CI 0.588-0.807) and second (IRR 0.905; 95% CI 0.781-1.048) dose of CoronaVac. There were no severe or fatal cases of ALI following COVID-19 vaccination. CONCLUSION There was no evidence of an increased risk of ALI associated with BNT162b2 or CoronaVac vaccination. Based on all current available evidence from previous studies and our study, the benefit of mass vaccination far outweighs the ALI risk from vaccination. LAY SUMMARY There have been some recent reports that COVID-19 vaccination could be associated with acute liver injury. In our study, we found no evidence that COVID-19 vaccination increased the risk of acute liver injury, which was much more common after SARS-CoV-2 infection than after vaccination. Hence, our study provides further data indicating that the benefits of mass COVID-19 vaccination outweigh the potential risks.
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Affiliation(s)
- Carlos King Ho Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, 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,Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, China
| | - Lung Yi Mak
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China,State Key Laboratory of Liver Research, 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, LKS 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, LKS 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
| | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS 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
| | - Eric Yuk Fai Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, 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,Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, 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
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS 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
| | - Wing Yiu Cheng
- School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Franco Wing Tak Cheng
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Man Fung Yuen
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China,State Key Laboratory of Liver Research, 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, LKS Faculty of Medicine, The 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; Research Department of Practice and Policy, UCL School of Pharmacy, University College London, London, UK; Aston School of Pharmacy, Aston University, Birmingham, UK.
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28
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Cheng FWT, Wong CKH, Xiwen Qin S, Chui CSL, Li X, Wan EYF, Chan EW, Au CH, Ye X, Tang SCW, Wong ICK. Risk of glomerular diseases, proteinuria and hematuria following mRNA (BNT162b2) and inactivated (CoronaVac) SARS-CoV-2 vaccines. Nephrol Dial Transplant 2022; 38:129-137. [PMID: 36367015 PMCID: PMC9620371 DOI: 10.1093/ndt/gfac292] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND With accruing case reports on de novo or relapsing glomerular diseases (GD) following different severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines, we evaluated the risk of GD following BNT162b2 and CoronaVac vaccines. METHODS A modified self-controlled case series analysis was conducted using anonymized, territory-wide SARS-CoV-2 vaccination records in Hong Kong. All Hong Kong residents aged 18 years or above with outcomes of interest were included. Outcomes of interest were GD, proteinuria or hematuria within 42 days following each dose of SARS-CoV-2 vaccines. Incidence per 100 000 doses of SARS-CoV-2 vaccines administered was calculated, and incidence rate ratios (IRRs) were estimated using conditional Poisson regression with seasonality adjustment. RESULTS Between 23 February 2021 and 31 March 2022, 4062 patients had an incident diagnosis of GD, proteinuria or hematuria, with 2873 of them being vaccinated during the observation period. The incidences of the composite events 1-41 days after vaccination were 3.7 (95% CI 3.1-4.4) per 100 000 doses of BNT162b2 administered, and 6.5 (95% CI 5.7-7.5) per 100 000 doses CoronaVac administered. There was no significant increase in the risks of composite events following the first (BNT162b2: IRR = 0.76, 95% CI 0.56-1.03; CoronaVac: IRR = 0.92, 95% CI 0.72-1.19), second (BNT162b2: IRR = 0.92, 95% CI 0.72-1.17; CoronaVac: IRR = 0.88. 95% CI 0.68-1.14) or third (BNT162b2: IRR = 0.39. 95% CI 0.15-1.03; CoronaVac: IRR = 1.18. 95% CI 0.53-2.63) dose of SARS-CoV-2 vaccines. CONCLUSIONS There was no evidence of increased risks of de novo or relapsing GD with either BNT162b2 or CoronaVac vaccines.
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Affiliation(s)
| | | | | | - 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, 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 TsunLai
- 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 (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, China,Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China,Division of Nephrology, 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, China,Laboratory of Data Discovery for Health (D4H), 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, Hong Kong SAR, China
| | - Esther W 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 (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - 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, China
| | - Xuxiao Ye
- 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
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29
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Wong CKH, Lui DTW, Xiong X, Chui CSL, Lai FTT, Li X, Wan EYF, Cheung CL, Lee CH, Woo YC, Au ICH, Chung MSH, Cheng FWT, Tan KCB, Wong ICK. Risk of thyroid dysfunction associated with mRNA and inactivated COVID-19 vaccines: a population-based study of 2.3 million vaccine recipients. BMC Med 2022; 20:339. [PMID: 36229814 PMCID: PMC9560718 DOI: 10.1186/s12916-022-02548-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 09/01/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND In view of accumulating case reports of thyroid dysfunction following COVID-19 vaccination, we evaluated the risks of incident thyroid dysfunction following inactivated (CoronaVac) and mRNA (BNT162b2) COVID-19 vaccines using a population-based dataset. METHODS We identified people who received COVID-19 vaccination between 23 February and 30 September 2021 from a population-based electronic health database in Hong Kong, linked to vaccination records. Thyroid dysfunction encompassed anti-thyroid drug (ATD)/levothyroxine (LT4) initiation, biochemical picture of hyperthyroidism/hypothyroidism, incident Graves' disease (GD), and thyroiditis. A self-controlled case series design was used to estimate the incidence rate ratio (IRR) of thyroid dysfunction in a 56-day post-vaccination period compared to the baseline period (non-exposure period) using conditional Poisson regression. RESULTS A total of 2,288,239 people received at least one dose of COVID-19 vaccination (57.8% BNT162b2 recipients and 42.2% CoronaVac recipients). 94.3% of BNT162b2 recipients and 92.2% of CoronaVac recipients received the second dose. Following the first dose of COVID-19 vaccination, there was no increase in the risks of ATD initiation (BNT162b2: IRR 0.864, 95% CI 0.670-1.114; CoronaVac: IRR 0.707, 95% CI 0.549-0.912), LT4 initiation (BNT162b2: IRR 0.911, 95% CI 0.716-1.159; CoronaVac: IRR 0.778, 95% CI 0.618-0.981), biochemical picture of hyperthyroidism (BNT162b2: IRR 0.872, 95% CI 0.744-1.023; CoronaVac: IRR 0.830, 95% CI 0.713-0.967) or hypothyroidism (BNT162b2: IRR 1.002, 95% CI 0.838-1.199; CoronaVac: IRR 0.963, 95% CI 0.807-1.149), GD, and thyroiditis. Similarly, following the second dose of COVID-19 vaccination, there was no increase in the risks of ATD initiation (BNT162b2: IRR 0.972, 95% CI 0.770-1.227; CoronaVac: IRR 0.879, 95%CI 0.693-1.116), LT4 initiation (BNT162b2: IRR 1.019, 95% CI 0.833-1.246; CoronaVac: IRR 0.768, 95% CI 0.613-0.962), hyperthyroidism (BNT162b2: IRR 1.039, 95% CI 0.899-1.201; CoronaVac: IRR 0.911, 95% CI 0.786-1.055), hypothyroidism (BNT162b2: IRR 0.935, 95% CI 0.794-1.102; CoronaVac: IRR 0.945, 95% CI 0.799-1.119), GD, and thyroiditis. Age- and sex-specific subgroup and sensitivity analyses showed consistent neutral associations between thyroid dysfunction and both types of COVID-19 vaccines. CONCLUSIONS Our population-based study showed no evidence of vaccine-related increase in incident hyperthyroidism or hypothyroidism with both BNT162b2 and CoronaVac.
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Affiliation(s)
- 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, 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
| | - 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
| | - 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
| | - 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
| | - 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, 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 (D24H), Hong Kong Science and Technology Park, Hong Kong SAR, 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
| | - 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
| | - 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
| | - 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
| | - 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
| | - 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. .,Research Department of Practice and Policy, UCL School of Pharmacy, University College London, London, UK. .,Aston School of Pharmacy, Aston University, Birmingham, UK.
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30
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Lui DTW, Lee CH, Cheung CYY, Cheung Mak JH, Fong CHY, Lui BWC, Cheung VSY, Chow WS, Lee ACH, Tam AR, Pang P, Ho TY, Tan KCB, Woo YC, Hung IFN, Lam KSL. Effect of COVID-19 Vaccines on Thyroid Function and Autoimmunity and Effect of Thyroid Autoimmunity on Antibody Response. J Clin Endocrinol Metab 2022; 107:e3781-e3789. [PMID: 35679093 PMCID: PMC9214146 DOI: 10.1210/clinem/dgac355] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Indexed: 12/11/2022]
Abstract
CONTEXT There are concerns for COVID-19 vaccination in triggering thyroid autoimmunity and causing thyroid dysfunction. Also, data on the effect of preexisting thyroid autoimmunity on the efficacy of COVID-19 vaccination are limited. OBJECTIVES We evaluated the effect of COVID-19 vaccination on thyroid function and antibodies, and the influence of preexisting thyroid autoimmunity on neutralizing antibody (NAb) responses. METHODS Adults without a history of COVID-19/thyroid disorders who received the COVID-19 vaccination during June to August 2021 were recruited. All received 2 doses of vaccines. Thyrotropin (TSH), free thyroxine (fT4), free 3,5,3'-triiodothyronine (fT3), antithyroid peroxidase (anti-TPO), and antithyroglobulin (anti-Tg) antibodies were measured at baseline and 8 weeks post vaccination. NAb against SARS-CoV-2 receptor-binding domain was measured. RESULTS A total of 215 individuals were included (129 [60%] BNT162b2; 86 [40%] CoronaVac recipients): mean age 49.6 years, 37.2% men, and 12.1% anti-TPO/Tg positive at baseline. After vaccination, TSH did not change (P = .225), but fT4 slightly increased (from 12.0 ± 1.1 to 12.2 ± 1.2 pmol/L [from 0.93 ± 0.09 to 0.95 ± 0.09 ng/dL], P < .001) and fT3 slightly decreased (from 4.1 ± 0.4 to 4.0 ± 0.4 pmol/L [from 2.67 ± 0.26 to 2.60 ± 0.26 pg/mL], P < .001). Only 3 patients (1.4%) had abnormal thyroid function post vaccination, none clinically overt. Anti-TPO and anti-Tg titers increased modestly after vaccination (P < .001), without statistically significant changes in anti-TPO/Tg positivity. Changes in thyroid function and antithyroid antibodies were consistent between BNT162b2 and CoronaVac recipients, except for greater anti-TPO titer increase post BNT162b2 (P < .001). NAb responses were similar between individuals with and without preexisting thyroid autoimmunity (P = .855). CONCLUSION COVID-19 vaccination was associated with a modest increase in antithyroid antibody titers. Anti-TPO increase was greater among BNT162b2 recipients. However, there was no clinically significant thyroid dysfunction post vaccination. NAb responses were not influenced by preexisting thyroid autoimmunity. Our results provide important reassurance for people to receive the COVID-19 vaccination.
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Affiliation(s)
- David Tak Wai Lui
- Address Correspondence to: Dr David Tak Wai Lui, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Pokfulam, Hong Kong, , Telephone number: +852 2255-6979
| | - Chi Ho Lee
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Chloe Yu Yan Cheung
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Jimmy Ho Cheung Mak
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Carol Ho Yi Fong
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Brian Wan Ching Lui
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Venus Suet Ying Cheung
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Wing Sun Chow
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Alan Chun Hong Lee
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Anthony Raymond Tam
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Polly Pang
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Tip Yin Ho
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Kathryn Choon Beng Tan
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Yu Cho Woo
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Ivan Fan Ngai Hung
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
| | - Karen Siu Ling Lam
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China
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Yan VKC, Wan EYF, Ye X, Mok AHY, Lai FTT, Chui CSL, Li X, Wong CKH, Li PH, Ma T, Qin S, Wong VKC, Tsang TC, Tsui SH, Chui WCM, Cowling BJ, Leung GM, Lau CS, Wong ICK, Chan EWY. Effectiveness of BNT162b2 and CoronaVac vaccinations against mortality and severe complications after SARS-CoV-2 Omicron BA.2 infection: a case-control study. Emerg Microbes Infect 2022; 11:2304-2314. [PMID: 35980089 PMCID: PMC9553171 DOI: 10.1080/22221751.2022.2114854] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Data regarding protection against mortality and severe complications after Omicron BA.2 infection with CoronaVac and BNT162b2 vaccines remains limited. We conducted a case–control study to evaluate the risk of severe complications and mortality following 1–3 doses of CoronaVac and BNT162b2 using electronic health records database. Cases were adults with their first COVID-19-related mortality or severe complications between 1 January and 31 March 2022, matched with up-to 10 controls by age, sex, index date, and Charlson Comorbidity Index. Vaccine effectiveness against COVID-19-related mortality and severe complications by type and number of doses was estimated using conditional logistic regression adjusted for comorbidities and medications. Vaccine effectiveness (95% CI) against COVID-19-related mortality after two doses of BNT162b2 and CoronaVac were 90.7% (88.6–92.3) and 74.8% (72.5–76.9) in those aged ≥65, 87.6% (81.4–91.8) and 80.7% (72.8–86.3) in those aged 50–64, 86.6% (71.0–93.8) and 82.7% (56.5–93.1) in those aged 18–50. Vaccine effectiveness against severe complications after two doses of BNT162b2 and CoronaVac were 82.1% (74.6–87.3) and 58.9% (50.3–66.1) in those aged ≥65, 83.0% (69.6–90.5) and 67.1% (47.1–79.6) in those aged 50–64, 78.3% (60.8–88.0) and 77.8% (49.6–90.2) in those aged 18–50. Further risk reduction with the third dose was observed especially in those aged ≥65 years, with vaccine effectiveness of 98.0% (96.5–98.9) for BNT162b2 and 95.5% (93.7–96.8) for CoronaVac against mortality, 90.8% (83.4–94.9) and 88.0% (80.8–92.5) against severe complications. Both CoronaVac and BNT162b2 vaccination were effective against COVID-19-related mortality and severe complications amidst the Omicron BA.2 pandemic, and risks decreased further with the third 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 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, 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
| | - Xuxiao Ye
- 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
| | - 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
| | - 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 (D4H), Hong Kong Science and Technology Park, Hong Kong China
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D4H), 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 (D4H), 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 (D4H), 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
| | - Tiantian Ma
- 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 (D4H), Hong Kong Science and Technology Park, Hong Kong China
| | - Simon Qin
- 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 (D4H), Hong Kong Science and Technology Park, Hong Kong China
| | | | - Tat Chi Tsang
- Department of Accident and Emergency, Queen Mary Hospital, Hong Kong China
| | - Sik Hon Tsui
- Department of Accident and Emergency, Queen Mary Hospital, Hong Kong China
| | | | - Benjamin John Cowling
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong China.,World Health Organization 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
| | - Gabriel Matthew Leung
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong China.,World Health Organization 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
| | - 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 (D4H), Hong Kong Science and Technology Park, Hong Kong China.,Research Department of Practice and Policy, School of Pharmacy, University College London, London, United Kingdom.,Aston Pharmacy School, Aston University, Birmingham, B4 7ET, UK.,Department of Pharmacy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong China.,Laboratory of Data Discovery for Health (D4H), 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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32
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Current Evidence in SARS-CoV-2 mRNA Vaccines and Post-Vaccination Adverse Reports: Knowns and Unknowns. Diagnostics (Basel) 2022; 12:diagnostics12071555. [PMID: 35885461 PMCID: PMC9316835 DOI: 10.3390/diagnostics12071555] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 06/21/2022] [Accepted: 06/24/2022] [Indexed: 01/14/2023] Open
Abstract
The novel mRNA vaccinations against COVID-19 are gaining worldwide attention for their potential efficacy, as well as for the diagnosis of some post-vaccination-reported adverse reactions. In this state-of-the-art review article, we present the current evidence regarding mainly the diagnosis of spontaneous allergic reactions, the skin occurrences, the vascular, blood, endocrine and heart events, the respiratory reports, the gastrointestinal, hepatic and kidney events, the reproductive and pregnancy issues and the muscle events, as well as the ear, eye, neurologic and psychiatric events following mRNA vaccination against COVID-19. We further present some evidence regarding the mRNA strategies, we provide important information for side effects associated with the spike protein based LNP-mRNA vaccine and its adjuvants, as well as evidence for all the possible dangerous roles of the spike protein, and we discuss our expert opinion on the knowns and the unknowns towards the topic.
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Wan EYF, Chui CSL, Ng VWS, Wang Y, Yan VKC, Lam ICH, Fan M, Lai FTT, Chan EWY, Li X, Wong CKH, Chung RKC, Cowling BJ, Fong WC, Lau AYL, Mok VCT, Chan FLF, Lee CK, Chan LST, Lo D, Lau KK, Hung IFN, Lau CS, Leung GM, Wong ICK. Messenger RNA Coronavirus Disease 2019 (COVID-19) Vaccination With BNT162b2 Increased Risk of Bell's Palsy: A Nested Case-Control and Self-Controlled Case Series Study. Clin Infect Dis 2022; 76:e291-e298. [PMID: 35675702 PMCID: PMC9278169 DOI: 10.1093/cid/ciac460] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 05/13/2022] [Accepted: 06/02/2022] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Observable symptoms of Bell's palsy following vaccinations arouse concern over the safety profiles of novel coronavirus disease 2019 (COVID-19) vaccines. However, there are only inconclusive findings on Bell's palsy following messenger (mRNA) COVID-19 vaccination. This study aims to update the previous analyses on the risk of Bell's palsy following mRNA (BNT162b2) COVID-19 vaccination. METHODS This study included cases aged ≥16 years with a new diagnosis of Bell's palsy within 28 days after BNT162b2 vaccinations from the population-based electronic health records in Hong Kong. Nested case-control and self-controlled case series (SCCS) analyses were used, where the association between Bell's palsy and BNT162b2 was evaluated using conditional logistic and Poisson regression, respectively. RESULTS Totally 54 individuals were newly diagnosed with Bell's palsy after BNT162b2 vaccinations. The incidence of Bell's palsy was 1.58 (95% confidence interval [CI], 1.19-2.07) per 100 000 doses administered. The nested case-control analysis showed significant association between BNT162b2 vaccinations and Bell's palsy (adjusted odds ratio [aOR], 1.543; 95% CI, 1.123-2.121), with up to 1.112 excess events per 100 000 people who received 2 doses of BNT162b2. An increased risk of Bell's palsy was observed during the first 14 days after the second dose of BNT162b2 in both nested case-control (aOR, 2.325; 95% CI, 1.414-3.821) and SCCS analysis (adjusted incidence rate ratio, 2.44; 95% CI, 1.32-4.50). CONCLUSIONS There was an overall increased risk of Bell's palsy following BNT162b2 vaccination, particularly within the first 14 days after the second dose, but the absolute risk was very low.
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Affiliation(s)
| | | | - Vanessa Wai Sei Ng
- 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 Special Administrative Region, China
| | - Yuan Wang
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, 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 Special Administrative Region, China
| | - 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 Special Administrative Region, China
| | - Min Fan
- 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 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 Special Administrative Region, China,Laboratory of Data Discovery for Health, Hong Kong Science and Technology Park, Sha Tin, Hong Kong Special Administrative Region, 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 Special Administrative Region, China,Laboratory of Data Discovery for Health, Hong Kong Science and Technology Park, Sha Tin, 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 Special Administrative Region, China,Laboratory of Data Discovery for Health, Hong Kong Science and Technology Park, Sha Tin, Hong Kong Special Administrative Region, China,Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 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 Special Administrative Region, China,Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China,Laboratory of Data Discovery for Health, Hong Kong Science and Technology Park, Sha Tin, Hong Kong Special Administrative Region, China
| | - Raccoon Ka Cheong Chung
- Department of Health, Government of the Hong Kong Special Administrative Region, Hong Kong Special Administrative Region, China
| | - Benjamin John Cowling
- Laboratory of Data Discovery for Health, 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
| | - Wing Chi Fong
- Department of Medicine, Queen Elizabeth Hospital, Hospital Authority, Hong Kong Special Administrative Region, China,Expert Committee on Clinical Events Assessment Following COVID-19 Immunization, Department of Health, Government of the Hong Kong Special Administrative Region, Hong Kong Special Administrative Region, China
| | - Alexander Yuk Lun Lau
- Department of Medicine and Therapeutics, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Vincent Chung Tong Mok
- Expert Committee on Clinical Events Assessment Following COVID-19 Immunization, Department of Health, Government of the Hong Kong Special Administrative Region, Hong Kong Special Administrative Region, China,Department of Medicine and Therapeutics, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Frank Ling Fung Chan
- Department of Health, Government of the Hong Kong Special Administrative Region, Hong Kong Special Administrative Region, China
| | - Cheuk Kwong Lee
- Expert Committee on Clinical Events Assessment Following COVID-19 Immunization, Department of Health, Government of the Hong Kong Special Administrative Region, Hong Kong Special Administrative Region, China,Hong Kong Red Cross Blood Transfusion Service, Hospital Authority, Hong Kong, China
| | - Lot Sze Tao Chan
- Department of Health, Government of the Hong Kong Special Administrative Region, Hong Kong Special Administrative Region, China
| | - Dawin Lo
- Department of Health, Government of the Hong Kong Special Administrative Region, Hong Kong Special Administrative Region, China
| | - Kui Kai Lau
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China,State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Ivan Fan Ngai Hung
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China,Expert Committee on Clinical Events Assessment Following COVID-19 Immunization, Department of Health, Government of the Hong Kong Special Administrative Region, Hong Kong Special Administrative Region, China
| | - Chak Sing Lau
- Division of Rheumatology and Clinical Immunology, Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Gabriel Matthew Leung
- Laboratory of Data Discovery for Health, 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
| | - Ian Chi Kei Wong
- Correspondence: Ian Chi Kei Wong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong ()
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Li X, Gao L, Tong X, Chan VK, Chui CS, Lai FT, Wong CK, Wan EY, Chan EW, Lau KK, Lau CS, Wong IC. Autoimmune conditions following mRNA (BNT162b2) and inactivated (CoronaVac) COVID-19 vaccination: A descriptive cohort study among 1.1 million vaccinated people in Hong Kong. J Autoimmun 2022; 130:102830. [PMID: 35461018 PMCID: PMC9008125 DOI: 10.1016/j.jaut.2022.102830] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Revised: 03/31/2022] [Accepted: 03/31/2022] [Indexed: 01/25/2023]
Abstract
BACKGROUND Concerns regarding the autoimmune safety of COVID-19 vaccines may negatively impact vaccine uptake. We aimed to describe the incidence of autoimmune conditions following BNT162b2 and CoronaVac vaccination and compare these with age-standardized incidence rates in non-vaccinated individuals. METHODS This is a descriptive cohort study conducted in public healthcare service settings. Territory-wide longitudinal electronic medical records of Hong Kong Hospital Authority users (≥16 years) were linked with COVID-19 vaccination records between February 23, 2021 and June 30, 2021. We classified participants into first/second dose BNT162b2 groups, first/second dose CoronaVac groups and non-vaccinated individuals for incidence comparison. The study outcomes include hospitalized autoimmune diseases (16 types of immune-mediated diseases across six body systems) within 28 days after first and second dose of vaccination. Age-standardized incidence rate ratios (IRRs) with exact 95% confidence intervals (CIs) were estimated using Poisson distribution. RESULTS This study included around 3.9 million Hong Kong residents, of which 1,122,793 received at least one dose of vaccine (BNT162b2: 579,998; CoronaVac: 542,795), and 721,588 completed two doses (BNT162b2: 388,881; CoronaVac: 332,707). Within 28 days following vaccination, cumulative incidences for all autoimmune conditions were below 9 per 100,000 persons, for both vaccines and both doses. None of the age-standardized incidence rates were significantly higher than the non-vaccinated individuals, except for an observed increased incidence of hypersomnia following the first dose of BNT162b2 (standardized IRR: 1.47; 95% CI: 1.10-1.94). CONCLUSIONS Autoimmune conditions requiring hospital care are rare following mRNA and inactivated COVID-19 vaccination with similar incidence to non-vaccinated individuals. The association between first dose BNT162b2 vaccination and immune-related sleeping disorders requires further research. Population-based robust safety surveillance is essential to detect rare and unexpected vaccine safety events.
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Affiliation(s)
- Xue Li
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China,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, China
| | - Le Gao
- 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
| | - Xinning Tong
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Vivien K.Y. 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
| | - Celine S.L. Chui
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, 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
| | - Francisco T.T. 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, China
| | - Carlos K.H. 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,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
| | - Eric Y.F. 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, China,Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Esther W.Y. 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, China
| | - Kui Kai Lau
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China,The State Key Laboratory of Brain and Cognitive Sciences, 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 C.K. 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, China,Research Department of Practice and Policy, School of Pharmacy, University College London, United Kingdom,Expert Committee on Clinical Events Assessment Following COVID-19 Immunization, Department of Health, The Government of the Hong Kong Special Administrative Region, Hong Kong, China,Corresponding author. Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, The University of Hong Kong, L2-57, Laboratory Block, 21 Sassoon Road, Pokfulam, Hong Kong, China
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Wong CKH, Lau KTK, Xiong X, Au ICH, Lai FTT, Wan EYF, Chui CSL, Li X, Chan EWY, Gao L, Cheng FWT, Tang SCW, Wong ICK. Adverse events of special interest and mortality following vaccination with mRNA (BNT162b2) and inactivated (CoronaVac) SARS-CoV-2 vaccines in Hong Kong: A retrospective study. PLoS Med 2022; 19:e1004018. [PMID: 35727759 PMCID: PMC9212142 DOI: 10.1371/journal.pmed.1004018] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 05/09/2022] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Safety monitoring of coronavirus disease 2019 (COVID-19) vaccines is crucial during mass vaccination rollout to inform the choice of vaccines and reduce vaccine hesitancy. Considering the scant evidence directly comparing the safety profiles of mRNA and inactivated SARS-CoV-2 vaccines, this territory-wide cohort study aims to compare the incidence of various adverse events of special interest (AESIs) and all-cause mortality between CoronaVac (inactivated vaccine) and BNT162b2 (mRNA-based vaccine). Our results can help vaccine recipients make an informed choice. METHODS AND FINDINGS A retrospective, population-based cohort of individuals who had received at least 1 dose of BNT162b2 or CoronaVac from 23 February to 9 September 2021 in Hong Kong, and had data linkage to the electronic medical records of the Hong Kong Hospital Authority, were included. Those who had received mixed doses were excluded. Individuals were observed from the date of vaccination (first or second dose) until mortality, second dose vaccination (for first dose analysis), 21 days after vaccination, or 30 September 2021, whichever came first. Baseline characteristics of vaccinated individuals were balanced between groups using propensity score weighting. Outcome events were AESIs and all-cause mortality recorded during 21 days of post-vaccination follow-up after each dose, except anaphylaxis, for which the observation period was restricted to 2 days after each dose. Incidence rate ratios (IRRs) of AESIs and mortality comparing between CoronaVac and BNT162b2 recipients were estimated after each dose using Poisson regression models. Among 2,333,379 vaccinated individuals aged 18 years or above, the first dose analysis included 1,308,820 BNT162b2 and 955,859 CoronaVac recipients, while the second dose analysis included 1,116,677 and 821,560 individuals, respectively. The most frequently reported AESI among CoronaVac and BNT162b2 recipients was thromboembolism (first dose: 431 and 290 per 100,000 person-years; second dose: 385 and 266 per 100,000 person-years). After the first dose, incidence rates of overall AESIs (IRR = 0.98, 95% CI 0.89-1.08, p = 0.703) and mortality (IRR = 0.96, 95% CI 0.63-1.48, p = 0.868) associated with CoronaVac were generally comparable to those for BNT162b2, except for Bell palsy (IRR = 1.95, 95% CI 1.12-3.41, p = 0.018), anaphylaxis (IRR = 0.34, 95% CI 0.14-0.79, p = 0.012), and sleeping disturbance or disorder (IRR = 0.66, 95% CI 0.49-0.89, p = 0.006). After the second dose, incidence rates of overall AESIs (IRR = 0.97, 95% CI 0.87-1.08, p = 0.545) and mortality (IRR = 0.85, 95% CI 0.51-1.40, p = 0.516) were comparable between CoronaVac and BNT162b2 recipients, with no significant differences observed for specific AESIs. The main limitations of this study include residual confounding due to its observational nature, and the possibility of its being underpowered for some AESIs with very low observed incidences. CONCLUSIONS In this study, we observed that the incidences of AESIs (cumulative incidence rate of 0.06%-0.09%) and mortality following the first and second doses of CoronaVac and BNT162b2 vaccination were very low. The safety profiles of the vaccines were generally comparable, except for a significantly higher incidence rate of Bell palsy, but lower incidence rates of anaphylaxis and sleeping disturbance or disorder, following first dose CoronaVac versus BNT162b2 vaccination. Our results could help inform the choice of inactivated COVID-19 vaccines, mainly administered in low- and middle-income countries with large populations, in comparison to the safety of mRNA vaccines. Long-term surveillance on the safety profile of COVID-19 vaccines should continue.
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Affiliation(s)
- Carlos King Ho Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, 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, University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health, Hong Kong Science and Technology Parks, Hong Kong SAR, China
| | - Kristy Tsz Kwan Lau
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Xi Xiong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, 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, 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, University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health, Hong Kong Science and Technology Parks, 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, 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, University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health, Hong Kong Science and Technology Parks, Hong Kong SAR, China
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health, Hong Kong Science and Technology Parks, Hong Kong SAR, China
- School of Nursing, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
- School of Public Health, Li Ka Shing Faculty of Medicine, 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, University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health, Hong Kong Science and Technology Parks, Hong Kong SAR, China
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, 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, University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health, Hong Kong Science and Technology Parks, Hong Kong SAR, China
| | - Le Gao
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, 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, 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, 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, University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health, Hong Kong Science and Technology Parks, Hong Kong SAR, China
- Centre for Medicines Optimisation Research and Education, Research Department of Practice and Policy, UCL School of Pharmacy, University College London, London, United Kingdom
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Wong CKH, Xiong X, Lau KTK, Chui CSL, Lai FTT, Li X, Chan EWY, Wan EYF, Au ICH, Cowling BJ, Lee CK, Wong ICK. Impact of a delayed second dose of mRNA vaccine (BNT162b2) and inactivated SARS-CoV-2 vaccine (CoronaVac) on risks of all-cause mortality, emergency department visit, and unscheduled hospitalization. BMC Med 2022; 20:119. [PMID: 35296305 PMCID: PMC8926447 DOI: 10.1186/s12916-022-02321-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 03/03/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Safety after the second dose of the SARS-CoV-2 vaccine remains to be elucidated, especially among individuals reporting adverse events after their first dose. This study aims to evaluate the impact of a delayed second dose on all-cause mortality and emergency services. METHODS A territory-wide, retrospective cohort of people who had completed two doses of mRNA (BNT162b2) or inactivated SARS-CoV-2 (CoronaVac) vaccine between February 23 and July 3, 2021, in Hong Kong was analyzed, with linkage to electronic health records retrieved from the Hong Kong Hospital Authority. Vaccine recipients were classified as receiving a second dose within recommended intervals (21-28 days for BNT162b2; 14-28 days for CoronaVac) or delayed. Study outcomes were all-cause mortality, emergency department (ED) visits, and unscheduled hospitalizations within 28 days after the second dose of vaccination. RESULTS Among 417,497 BNT162b2 and 354,283 CoronaVac second dose recipients, 3.8% and 28.5% received the second dose beyond the recommended intervals (mean 34.4 and 31.8 days), respectively. During the study period, there were < 5 daily new cases of COVID-19 infections in the community. Delaying the second dose was not associated with all-cause mortality (hazard ratio [HR] = 1.185, 95% CI 0.478-2.937, P = 0.714), risk of ED visit (HR = 0.966, 95% CI 0.926-1.008, P = 0.113), and risk of unscheduled hospitalization (HR = 0.956, 95% CI 0.878-1.040, P = 0.294) compared to that within the recommended interval for CoronaVac recipients. No statistically significant differences in all-cause mortality (HR = 4.438, 95% CI 0.951-20.701, P = 0.058), ED visit (HR = 1.037, 95% CI 0.951-1.130, P = 0.411), and unscheduled hospitalization (HR = 1.054, 95% CI 0.867-1.281, P = 0.597) were identified between people who received a second dose of BNT162b2 within and beyond the recommended intervals. CONCLUSIONS No significant association between delayed second dose of BNT162b2 or CoronaVac and all-cause mortality, ED visit, and unscheduled hospitalization was observed in the present cohort. Regardless of the recommended or delayed schedule for SARS-CoV-2 vaccination, a second dose of both vaccines should be administered to obtain better protection against infection and serious disease. The second dose should be administered within the recommended interval following the manufacturer's product information, until further studies support the benefits of delaying vaccination outweighing the risks.
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Affiliation(s)
- Carlos King Ho Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, 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
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Xi Xiong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - Kristy Tsz Kwan Lau
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, 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 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, LKS 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 and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS 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 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, LKS 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 and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Eric Yuk Fai Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, 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
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Ivan Chi Ho Au
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - Benjamin John Cowling
- 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, Hong Kong SAR, China
- 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 SAR, China
| | - Cheuk Kwong Lee
- Hong Kong Red Cross Blood Transfusion Service, Hospital Authority, Kowloon, Hong Kong SAR, China
| | - Ian Chi Kei Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, LKS 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 and Technology Park, Sha Tin, Hong Kong SAR, China.
- Research Department of Practice and Policy, UCL School of Pharmacy, University College London, London, UK.
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Pezzaioli LC, Gatta E, Bambini F, Facondo P, Gava M, Cavadini M, Buoso C, Di Lodovico E, Rotondi M, Ferlin A, Cappelli C. Endocrine system after 2 years of COVID-19 vaccines: A narrative review of the literature. Front Endocrinol (Lausanne) 2022; 13:1027047. [PMID: 36440218 PMCID: PMC9685624 DOI: 10.3389/fendo.2022.1027047] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 10/20/2022] [Indexed: 11/12/2022] Open
Abstract
PURPOSE The purpose of this study was to describe the current knowledge on the potential endocrine adverse effects post-COVID-19 vaccines. METHODS A PubMed/MEDLINE, Web of Science, and Scopus research was performed. Case reports, case series, original studies, and reviews written in English and published online up to 31 July 2022 were selected and reviewed. The final reference list was defined based on the relevance of each paper to the scope of this review. RESULTS The available data showed that endocrine side effects are generally rare and with favorable outcome, being thyroid disorders the most common. Conversely, data on type 1 diabetes mellitus are rare; adrenal and pituitary events are even anecdotal. Finally, the available clinical studies suggest no impact on female reproductive system and on male and couple fertility. CONCLUSION Overall, these data show that, after 2 years of COVID-19 vaccines, the endocrine system is not heavily threatened.
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Affiliation(s)
- Letizia Chiara Pezzaioli
- Department of Clinical and Experimental Sciences, Unit of Endocrinology and Metabolism, University of Brescia, Brescia, Italy
| | - Elisa Gatta
- Department of Clinical and Experimental Sciences, Unit of Endocrinology and Metabolism, University of Brescia, Brescia, Italy
| | - Francesca Bambini
- Department of Clinical and Experimental Sciences, Unit of Endocrinology and Metabolism, University of Brescia, Brescia, Italy
| | - Paolo Facondo
- Department of Clinical and Experimental Sciences, Unit of Endocrinology and Metabolism, University of Brescia, Brescia, Italy
| | - Maria Gava
- Department of Clinical and Experimental Sciences, Unit of Endocrinology and Metabolism, University of Brescia, Brescia, Italy
| | - Maria Cavadini
- Department of Clinical and Experimental Sciences, Unit of Endocrinology and Metabolism, University of Brescia, Brescia, Italy
| | - Caterina Buoso
- Department of Clinical and Experimental Sciences, Unit of Endocrinology and Metabolism, University of Brescia, Brescia, Italy
| | - Elena Di Lodovico
- Department of Clinical and Experimental Sciences, Unit of Endocrinology and Metabolism, University of Brescia, Brescia, Italy
| | - Mario Rotondi
- Istituti Clinici Scientifici Maugeri IRCCS, Unit of Internal Medicine and Endocrinology, Laboratory for Endocrine Disruptors, Pavia, Italy
- Department of Internal Medicine and Therapeutics, University of Pavia, Pavia, Italy
| | - Alberto Ferlin
- Department of Medicine, Unit of Andrology and Reproductive Medicine, University of Padova, Padova, Italy
| | - Carlo Cappelli
- Department of Clinical and Experimental Sciences, Unit of Endocrinology and Metabolism, University of Brescia, Brescia, Italy
- *Correspondence: Carlo Cappelli,
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