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Zhang C, Amill-Rosario A, Johnson A, Lee H, Spence O, Oraichi D, Seifert H, Franck V, Gamble S, Yun H, dosReis S. Risk of incident gout following exposure to recombinant zoster vaccine in US adults aged ≥65 years. Semin Arthritis Rheum 2024; 68:152515. [PMID: 39047625 DOI: 10.1016/j.semarthrit.2024.152515] [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: 02/22/2024] [Revised: 05/16/2024] [Accepted: 06/10/2024] [Indexed: 07/27/2024]
Abstract
OBJECTIVE Assess the risk of incident gout following exposure to recombinant zoster vaccine (RZV). METHODS This case-only, self-controlled risk interval study included a cohort of US fee-for-service Medicare (Part A, B, and D) beneficiaries aged ≥65 years. The exposure was receipt of at least one dose of the two-dose RZV regimen in 2018 or 2019. The risk and control windows were days 1-30 and days 31-60, respectively, following vaccination. Incident gout was defined as the first episode of gout during the risk or control window, with no evidence of gout in the last 365 days. We estimated the relative risk (RR) and 95 % confidence interval (CI) of incident gout in the risk window relative to the control window, using conditional Poisson regression models. Sensitivity analyses included a dose-compliant subanalysis of individuals who received dose 2 60-183 days after dose 1; dose-specific analysis; seasonality adjustment; and COVID-19 adjustment for potential detection bias due to the pandemic. RESULTS The 1290 RZV-exposed individuals with incident gout were primarily White (86.98 %), male (61.16 %), and aged 70-79 years (55.82 %). The RR of incident gout was 1.00 (95 % CI 0.90, 1.12). In the dose-compliant sensitivity analysis (n = 959 cases of incident gout), the RR of incident gout was 0.99 (95 % CI 0.87, 1.13). The findings were unchanged in the dose-specific, seasonality, and COVID-19 sensitivity analyses. CONCLUSION The findings suggest that RZV is not significantly associated with an increased risk of incident gout in the Medicare population aged ≥65 years.
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Affiliation(s)
- Chengchen Zhang
- Department of Practice, Sciences, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD, USA
| | - Alejandro Amill-Rosario
- Department of Practice, Sciences, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD, USA
| | - Abree Johnson
- Department of Practice, Sciences, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD, USA
| | - Haeyoung Lee
- Department of Practice, Sciences, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD, USA
| | | | | | | | | | | | | | - Susan dosReis
- Department of Practice, Sciences, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD, USA.
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Hwang S, Kang SW, Choi J, Park KA, Lim DH, Shin JY, Kang D, Cho J, Kim SJ. COVID-19 Vaccination and Ocular Adverse Events: A Self-Controlled Case Series Study From the Entire South Korean Population. Am J Ophthalmol 2024; 269:69-77. [PMID: 39179130 DOI: 10.1016/j.ajo.2024.08.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 08/07/2024] [Accepted: 08/14/2024] [Indexed: 08/26/2024]
Abstract
PURPOSE This study aimed to assess the risk of ocular adverse events, including retinal artery occlusion (RAO), retinal vein occlusion (RVO), noninfectious uveitis (NIU), noninfectious scleritis (NIS), optic neuritis (ON), ischemic optic neuropathy (ION), and ocular motor cranial nerve palsy (OMCNP), following Coronavirus Disease 2019 (COVID-19) vaccination. DESIGN Population-based self-controlled case series METHODS: This study utilized nationwide claims and vaccination data provided by the Korea National Health Insurance Service and Korea Disease Control and Prevention Agency. From the entire South Korean population of 52 million individuals, patients with incident RAO, RVO, anterior NIU, nonanterior NIU, NIS, ON, ION, or OMCNP between January 2021 and March 2022 were included. The postvaccination risk period was defined as up to 56 days after COVID-19 vaccination. The relative incidence rate ratios (IRRs) for RAO, RVO, anterior NIU, nonanterior NIU, NIS, ON, ION, and OMCNP during the risk periods were measured using conditional Poisson regression. RESULTS The study included 6,590, 70,120, 137,958, 17,921, 15,492, 2,039, 49,089, and 11,312 cases of incident RAO, RVO, anterior NIU, nonanterior NIU, NIS, ON, ION, and OMCNP, respectively. The IRRs (95% confidence interval) during the early risk period (0-28 days) were 0.95 (0.88-1.01), 0.96 (0.94-0.98), 0.93 (0.91-0.94), 0.93 (0.89-0.96), 0.96 (0.92-1.01), 1.04 (0.92-1.18), 0.98 (0.95-1.00), and 0.91 (0.86-0.96), respectively. In the late risk period (29-56 days), the IRRs were 0.96 (0.89-1.03), 0.93 (0.91-0.96), 0.96 (0.95-0.98), 1.00 (0.95-1.04), 0.96 (0.91-1.01), 1.00 (0.87-1.15), 1.01 (0.98-1.04), and 0.95 (0.90-1.01), respectively. CONCLUSION COVID-19 vaccination did not increase the risk of incident RAO, RVO, anterior NIU, nonanterior NIU, NIS, ON, ION, or OMCNP during the postvaccination period.
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Affiliation(s)
- Sungsoon Hwang
- Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine (S.H., S.W.K., J.C., K.-A.P., D.H.L., S.J.K.), Seoul, Republic of Korea; Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University (S.H., D.H.L., J.-Y.S., D.K., J.C.), Seoul, Republic of Korea
| | - Se Woong Kang
- Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine (S.H., S.W.K., J.C., K.-A.P., D.H.L., S.J.K.), Seoul, Republic of Korea.
| | - Jaehwan Choi
- Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine (S.H., S.W.K., J.C., K.-A.P., D.H.L., S.J.K.), Seoul, Republic of Korea
| | - Kyung-Ah Park
- Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine (S.H., S.W.K., J.C., K.-A.P., D.H.L., S.J.K.), Seoul, Republic of Korea
| | - Dong Hui Lim
- Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine (S.H., S.W.K., J.C., K.-A.P., D.H.L., S.J.K.), Seoul, Republic of Korea; Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University (S.H., D.H.L., J.-Y.S., D.K., J.C.), Seoul, Republic of Korea
| | - Ju-Young Shin
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University (S.H., D.H.L., J.-Y.S., D.K., J.C.), Seoul, Republic of Korea; School of Pharmacy, Sungkyunkwan University (J.-Y.S.), Suwon, Gyeonggi-do, Republic of Korea
| | - Danbee Kang
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University (S.H., D.H.L., J.-Y.S., D.K., J.C.), Seoul, Republic of Korea; Center for Clinical Epidemiology, Samsung Medical Center, Sungkyunkwan University School of Medicine (D.K., J.C.), Seoul, Republic of Korea
| | - Juhee Cho
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University (S.H., D.H.L., J.-Y.S., D.K., J.C.), Seoul, Republic of Korea; Center for Clinical Epidemiology, Samsung Medical Center, Sungkyunkwan University School of Medicine (D.K., J.C.), Seoul, Republic of Korea
| | - Sang Jin Kim
- Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine (S.H., S.W.K., J.C., K.-A.P., D.H.L., S.J.K.), Seoul, Republic of Korea
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Jorgensen SCJ, Brown K, Clarke AE, Schwartz KL, Maxwell C, Daneman N, Kwong JC, MacFadden DR. The Effect of COVID-19 Vaccination on Outpatient Antibiotic Prescribing in Older Adults: A Self-Controlled Risk-Interval Study. Clin Infect Dis 2024; 79:375-381. [PMID: 38700036 PMCID: PMC11327793 DOI: 10.1093/cid/ciae182] [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: 01/31/2024] [Indexed: 05/05/2024] Open
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19) vaccination has been associated with reduced outpatient antibiotic prescribing among older adults with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We assessed the impact of COVID-19 vaccination on outpatient antibiotic prescribing in the broader population of older adults, regardless of SARS-CoV-2 infection status. METHODS We included adults aged ≥65 years who received their first, second, and/or third COVID-19 vaccine dose from December 2020 to December 2022. We used a self-controlled risk-interval design and included cases who received an antibiotic prescription 2-6 weeks before vaccination (pre-vaccination or control interval) or after vaccination (post-vaccination or risk interval). We used conditional logistic regression to estimate the odds of being prescribed (1) any antibiotic, (2) a typical "respiratory" infection antibiotic, or (3) a typical "urinary tract" infection antibiotic (negative control) in the post-vaccination interval versus the pre-vaccination interval. We accounted for temporal changes in antibiotic prescribing using background monthly antibiotic prescribing counts. RESULTS 469 923 vaccine doses met inclusion criteria. The odds of receiving any antibiotic or a respiratory antibiotic prescription were lower in the post-vaccination versus pre-vaccination interval (aOR, .973; 95% CI, .968-.978; aOR, .961; 95% CI, .953-.968, respectively). There was no association between vaccination and urinary antibiotic prescriptions (aOR, .996; 95% CI, .987-1.006). Periods with high (>10%) versus low (<5%) SARS-CoV-2 test positivity demonstrated greater reductions in antibiotic prescribing (aOR, .875; 95% CI, .845-.905; aOR, .996; 95% CI, .989-1.003, respectively). CONCLUSIONS COVID-19 vaccination was associated with reduced outpatient antibiotic prescribing in older adults, especially during periods of high SARS-CoV-2 circulation.
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Affiliation(s)
- Sarah C J Jorgensen
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- ICES (formerly Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada
| | - Kevin Brown
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- ICES (formerly Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada
- Public Health Ontario, Toronto, Ontario, Canada
| | - Anna E Clarke
- ICES (formerly Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada
| | - Kevin L Schwartz
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- ICES (formerly Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada
- Public Health Ontario, Toronto, Ontario, Canada
- Unity Health Toronto, Li Ka Shing Knowledge Institute, Toronto, Ontario, Canada
| | - Colleen Maxwell
- ICES (formerly Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada
- Schools of Pharmacy and Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Nick Daneman
- ICES (formerly Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada
- Division of Infectious Diseases, Sunnybrook Health Science Centre, Toronto, Ontario, Canada
| | - Jeffrey C Kwong
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- ICES (formerly Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada
- Public Health Ontario, Toronto, Ontario, Canada
- Centre for Vaccine Preventable Diseases, University of Toronto, Toronto, Ontario, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- University Health Network, Toronto, Ontario, Canada
| | - Derek R MacFadden
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- ICES (formerly Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada
- Division of Infectious Diseases, University of Ottawa, Ottawa, Ontario, Canada
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Suzumura Y. Importance of Examining Incidentality in Vaccine Safety Assessment. Vaccines (Basel) 2024; 12:555. [PMID: 38793806 PMCID: PMC11126085 DOI: 10.3390/vaccines12050555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 05/12/2024] [Accepted: 05/16/2024] [Indexed: 05/26/2024] Open
Abstract
The author believes that the principles of statistical methods for vaccine safety can be divided into three categories: comparison of adverse event incidence rates between vaccinated and unvaccinated groups, analysis of incidentality in the vaccinated group, and a combination of both. The first category includes the cohort study; the second, the self-controlled risk interval design (SCRI); and the third, the self-controlled case series method. A single p-value alone should not determine a scientific conclusion, and analysis should be performed using multiple statistical methods with different principles. The author believes that using both the cohort study and the SCRI for analysis is the best method to assess vaccine safety. When the cohort study may not detect a significant difference owing to a low incidence rate of an adverse event in the vaccinated group or a high one in the unvaccinated group, the SCRI may detect it. Because vaccines must have a higher level of safety than the pharmaceuticals used for treatment, vaccine safety is advisable to be assessed using methods that can detect a significant difference even for any value of the incidence rate of an adverse event. The author believes that the analyses of COVID-19 vaccine safety have areas for improvement because the proportion of papers that used the cohort study and the SCRI was negligible.
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Lee HE, Jeong NY, Park M, Lim E, Kim JA, Won H, Kim CJ, Park SM, Choi NK. Effectiveness of COVID-19 vaccines against severe outcomes in cancer patients: Real-world evidence from self-controlled risk interval and retrospective cohort studies. J Infect Public Health 2024; 17:854-861. [PMID: 38554591 DOI: 10.1016/j.jiph.2024.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 02/18/2024] [Accepted: 03/12/2024] [Indexed: 04/01/2024] Open
Abstract
BACKGROUND The effectiveness of COVID-19 vaccines is generally reduced in cancer patients compared to the general population. However, there are only a few studies that compare the relative risk of breakthrough infections and severe COVID-19 outcomes in fully vaccinated cancer patients versus their unvaccinated counterparts. METHODS To assess the effectiveness of COVID-19 vaccines in cancer patients, we employed (1) a self-controlled risk interval (SCRI) design, and (2) a retrospective matched cohort design. A SCRI design was used to compare the risk of breakthrough infection in vaccinated cancer patients during the period immediately following vaccination ("control window") and the period in which immunity is achieved ("exposure windows"). The retrospective matched cohort design was used to compare the risk of severe COVID-19 outcomes between vaccinated and unvaccinated cancer patients. For both studies, data were extracted from the Korea Disease Control and Prevention Agency-COVID-19-National Health Insurance Service cohort, including demographics, medical history, and vaccination records of all individuals confirmed with COVID-19. We used conditional Poisson regression to calculate the incidence rate ratio (IRR) for breakthrough infection and Cox regression to estimate the hazard ratio (HR) for severe outcomes. RESULTS Of 14,448 cancer patients diagnosed with COVID-19 between October 2020 and December 2021, a total of 217 and 3996 cancer patients were included in the SCRI and cohort study respectively. While the risk of breakthrough infections, measured by the incidence rate in the control and exposure windows, did not show statistically significant difference in vaccinated cancer patients (IRR=0.88, 95% CI: 0.64-1.22), the risk of severe COVID-19 outcomes was significantly lower in vaccinated cancer patients compared to those unvaccinated (HR=0.27, 95% CI: 0.22-0.34). CONCLUSION COVID-19 vaccines significantly reduce the risk of severe outcomes in cancer patients, though their efficacy against breakthrough infections is less evident.
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Affiliation(s)
- Hui-Eon Lee
- Graduate School of Industrial Pharmaceutical Science, College of Pharmacy, Ewha Womans University, 52, Ewhayeodae-gil, Seodaemun-gu, Seoul 03760 Republic of Korea
| | - Na-Young Jeong
- Department of Health Convergence, College of Science and Industry Convergence, Ewha Womans University, 52, Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Republic of Korea
| | - Minah Park
- Department of Health Convergence, College of Science and Industry Convergence, Ewha Womans University, 52, Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Republic of Korea
| | - Eunsun Lim
- Department of Health Convergence, College of Science and Industry Convergence, Ewha Womans University, 52, Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Republic of Korea
| | - Jeong Ah Kim
- Department of Health Convergence, College of Science and Industry Convergence, Ewha Womans University, 52, Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Republic of Korea
| | - Heehyun Won
- Department of Health Convergence, College of Science and Industry Convergence, Ewha Womans University, 52, Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Republic of Korea
| | - Chung-Jong Kim
- Department of Internal Medicine, Ewha Womans University Seoul Hospital, 260, Gonghang-daero, Gangseo-gu, Seoul, Republic of Korea
| | - Sang Min Park
- Department of Family Medicine, Seoul National University Hospital, 101, Daehak-ro Jongno-gu, Seoul 03080, Republic of Korea; Department of Biomedical Sciences, Seoul National University Graduate School, Seoul National University College of Medicine, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea
| | - Nam-Kyong Choi
- Graduate School of Industrial Pharmaceutical Science, College of Pharmacy, Ewha Womans University, 52, Ewhayeodae-gil, Seodaemun-gu, Seoul 03760 Republic of Korea; Department of Health Convergence, College of Science and Industry Convergence, Ewha Womans University, 52, Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Republic of Korea.
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Schultze A, Martin I, Messina D, Bots S, Belitser S, José Carreras-Martínez J, Correcher-Martinez E, Urchueguía-Fornes A, Martín-Pérez M, García-Poza P, Villalobos F, Pallejà-Millán M, Alberto Bissacco C, Segundo E, Souverein P, Riefolo F, Durán CE, Gini R, Sturkenboom M, Klungel O, Douglas I. A comparison of four self-controlled study designs in an analysis of COVID-19 vaccines and myocarditis using five European databases. Vaccine 2024; 42:3039-3048. [PMID: 38580517 DOI: 10.1016/j.vaccine.2024.03.043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 03/16/2024] [Accepted: 03/17/2024] [Indexed: 04/07/2024]
Abstract
INTRODUCTION The aim of this study was to assess the possible extent of bias due to violation of a core assumption (event-dependent exposures) when using self-controlled designs to analyse the association between COVID-19 vaccines and myocarditis. METHODS We used data from five European databases (Spain: BIFAP, FISABIO VID, and SIDIAP; Italy: ARS-Tuscany; England: CPRD Aurum) converted to the ConcePTION Common Data Model. Individuals who experienced both myocarditis and were vaccinated against COVID-19 between 1 September 2020 and the end of data availability in each country were included. We compared a self-controlled risk interval study (SCRI) using a pre-vaccination control window, an SCRI using a post-vaccination control window, a standard SCCS and an extension of the SCCS designed to handle violations of the assumption of event-dependent exposures. RESULTS We included 1,757 cases of myocarditis. For analyses of the first dose of the Pfizer vaccine, to which all databases contributed information, we found results consistent with a null effect in both of the SCRI and extended SCCS, but some indication of a harmful effect in a standard SCCS. For the second dose, we found evidence of a harmful association for all study designs, with relatively similar effect sizes (SCRI pre = 1.99, 1.40 - 2.82; SCRI post 2.13, 95 %CI - 1.43, 3.18; standard SCCS 1.79, 95 %CI 1.31 - 2.44, extended SCCS 1.52, 95 %CI = 1.08 - 2.15). Adjustment for calendar time did not change these conclusions. Findings using all designs were also consistent with a harmful effect following a second dose of the Moderna vaccine. CONCLUSIONS In the context of the known association between COVID-19 vaccines and myocarditis, we have demonstrated that two forms of SCRI and two forms of SCCS led to largely comparable results, possibly because of limited violation of the assumption of event-dependent exposures.
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Affiliation(s)
- Anna Schultze
- Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
| | - Ivonne Martin
- Department of Data Science and Biostatistics, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Davide Messina
- Agenzia Regionale di Sanità (ARS), Florence, Toscana, Italy
| | - Sophie Bots
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - Svetlana Belitser
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - Juan José Carreras-Martínez
- Vaccine Research Department, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO - Public Health), Valencia, Spain; CIBER de Epidemiología y Salud Pública, Instituto de Salud Carlos III, Madrid, Spain
| | - Elisa Correcher-Martinez
- Vaccine Research Department, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO - Public Health), Valencia, Spain; CIBER de Epidemiología y Salud Pública, Instituto de Salud Carlos III, Madrid, Spain
| | - Arantxa Urchueguía-Fornes
- Vaccine Research Department, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO - Public Health), Valencia, Spain; CIBER de Epidemiología y Salud Pública, Instituto de Salud Carlos III, Madrid, Spain
| | - Mar Martín-Pérez
- Spanish Agency for Medicines and Medical Devices (AEMPS), Madrid, Spain
| | | | - Felipe Villalobos
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Meritxell Pallejà-Millán
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Carlo Alberto Bissacco
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Elena Segundo
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Patrick Souverein
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - Fabio Riefolo
- Teamit Institute, Partnerships, Barcelona Health Hub, Barcelona, Spain
| | - Carlos E Durán
- Department of Data Science and Biostatistics, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Rosa Gini
- Agenzia Regionale di Sanità (ARS), Florence, Toscana, Italy
| | - Miriam Sturkenboom
- Department of Data Science and Biostatistics, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Olaf Klungel
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - Ian Douglas
- Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
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Coste A, Wong AY, Warren-Gash C, Matthewman J, Bate A, Douglas IJ. Implementation of a Taxonomy-Based Framework for the Selection of Appropriate Drugs and Outcomes for Real-World Data Signal Detection Studies. Drug Saf 2024; 47:183-192. [PMID: 38093083 PMCID: PMC10821990 DOI: 10.1007/s40264-023-01382-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/14/2023] [Indexed: 01/28/2024]
Abstract
INTRODUCTION For signal detection studies investigating either drug safety or method evaluation, the choice of drug-outcome pairs needs to be tailored to the planned study design and vice versa. While this is well understood in hypothesis-testing epidemiology, it should be as important in signal detection, but this has not widely been considered. There is a need for a taxonomy framework to provide guidance and a systematic reproducible approach to the selection of appropriate drugs and outcomes for signal detection studies either investigating drug safety or assessing method performance using real-world data. OBJECTIVE The aim was to design a general framework for the selection of appropriate drugs and outcomes for signal detection studies given a study design of interest. As a motivating example, we illustrate how the framework is applied to build a reference set for a study aiming to assess the performance of the self-controlled case series with active comparators. METHODS We reviewed criteria presented in two published studies which aimed to provide practical advice for choosing the appropriate signal evaluation methodology, and assessed their relevance for signal detection. Further characteristics specific to signal detection were added. The final framework is based on: the application of study design requirements, the database(s) of interest, and the clinical importance of the drug(s) and outcome(s) under consideration. This structure was applied by selecting drug-outcome pairs as a reference set (i.e. list of drug-outcome pairs classified as positive or negative controls) for which the method is expected to work well for a signal detection study aiming to assess the performance of self-controlled case series. Eight criteria were used, related to the application of self-controlled case series assumptions, choice of active comparators, coverage in the database of interest and clinical importance of the outcomes. RESULTS After application of the framework, two classes of antibiotics (seven drugs) were selected for the study, and 28 outcomes from all organ classes were chosen from the drug labels, out of the 273 investigated. In total, this corresponds to 104 positive controls (drug-outcome pairs) and 58 negative controls. CONCLUSIONS We proposed and applied a framework for the selection of drugs and outcomes for both drug safety signal detection and method assessment used in signal detection to optimise their performance given a study design. This framework will eliminate part of the bias relating to drugs and outcomes not being suited to the method or database. The main difficulty lies in the choice of the criteria and their application to ensure systematic selection, especially as some information remains unknown in signal detection, and clinical judgement was needed on occasions. The same framework could be adapted for other methods.
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Affiliation(s)
- Astrid Coste
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel St, WC1E 7HT, London, UK.
| | - Angel Ys Wong
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel St, WC1E 7HT, London, UK
| | - Charlotte Warren-Gash
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel St, WC1E 7HT, London, UK
| | - Julian Matthewman
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel St, WC1E 7HT, London, UK
| | - Andrew Bate
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel St, WC1E 7HT, London, UK
- GlaxoSmithKline, Brentford, UK
| | - Ian J Douglas
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel St, WC1E 7HT, London, UK
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Yoon D, Jeon HL, Kim JH, Lee H, Shin JY. Cardiovascular, Neurological, and Immunological Adverse Events and the 23-Valent Pneumococcal Polysaccharide Vaccine. JAMA Netw Open 2024; 7:e2352597. [PMID: 38252436 PMCID: PMC10804273 DOI: 10.1001/jamanetworkopen.2023.52597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 11/30/2023] [Indexed: 01/23/2024] Open
Abstract
Importance Despite widespread immunization with the 23-valent pneumococcal polysaccharide vaccine (PPSV23), safety concerns remain owing to a lack of statistical power and largely outdated evidence. Objective To evaluate the association between cardiovascular, neurological, and immunological adverse events and PPSV23 vaccination in older adults. Design, Setting, and Participants This population-based cohort study using a self-controlled risk interval design used a large linked database created by linking the Korea Immunization Registry Information System and the National Health Information Database (2018 to 2021). Participants included patients aged 65 years or older with a history of PPSV23 vaccination and incident cardiovascular, neurological, or immunological events during the risk and control intervals. Data were analyzed from November 2022 to April 2023. Exposure 23-valent pneumococcal polysaccharide vaccine. Main Outcomes and Measures The occurrence of 1 among 6 cardiovascular events (myocardial infarction, atrial fibrillation, cardiomyopathy, heart failure, hypotension, and myocarditis or pericarditis), 2 neurological events (Bell palsy and Guillain-Barré syndrome), and 3 immunological events (sepsis, thrombocytopenia, and anaphylaxis) during the risk and control periods. The risk and control intervals were defined as 1 to 28 and 57 to 112 days after PPSV23 vaccination, respectively. Conditional Poisson regression was used to estimate the incidence rate ratio (IRR) with a 95% CI. Results Altogether, 4355 of the 1 802 739 individuals who received PPSV23 vaccination and experienced at least 1 outcome event were included (mean [SD] age, 72.4 [8.2] years; 2272 male participants [52.1%]). For cardiovascular events, there were no significant associations for myocardial infarction (IRR, 0.96; 95% CI, 0.81-1.15), heart failure (IRR, 0.85; 95% CI, 0.70-1.04), and stroke (IRR, 0.92; 95% CI, 0.84-1.02). Similarly, no increased risks were observed for neurological and immunological outcomes: Bell palsy (IRR, 0.95; 95% CI, 0.72-1.26), Guillain-Barré syndrome (IRR, 0.27; 95% CI, 0.06-1.17), sepsis (IRR, 0.99; 95% CI, 0.74-1.32), and thrombocytopenia (IRR, 1.18; 95% CI, 0.60-2.35). Conclusions and Relevance In this self-controlled risk interval study, there was no appreciable increase in risk for most cardiovascular, neurological, or immunological adverse events following PPSV23. The updated safety profile of PPSV23 provides supportive evidence for the establishment of immunization strategies for older adults.
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Affiliation(s)
- Dongwon Yoon
- School of Pharmacy, Sungkyunkwan University, South Korea
- Department of Biohealth Regulatory Science, School of Pharmacy, Sungkyunkwan University, South Korea
| | - Ha-Lim Jeon
- School of Pharmacy and Institute of New Drug Development, Jeonbuk National University, South Korea
| | - Ju Hwan Kim
- School of Pharmacy, Sungkyunkwan University, South Korea
- Department of Biohealth Regulatory Science, School of Pharmacy, Sungkyunkwan University, South Korea
| | - Hyesung Lee
- School of Pharmacy, Sungkyunkwan University, South Korea
- Department of Biohealth Regulatory Science, School of Pharmacy, Sungkyunkwan University, South Korea
| | - Ju-Young Shin
- School of Pharmacy, Sungkyunkwan University, South Korea
- Department of Biohealth Regulatory Science, School of Pharmacy, Sungkyunkwan University, South Korea
- Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, South Korea
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Puliyel J, Hooker BS. Self-controlled risk interval study of rotavirus vaccine safety: Findings and implications. INTERNATIONAL JOURNAL OF RISK & SAFETY IN MEDICINE 2024; 35:207-215. [PMID: 38875047 DOI: 10.3233/jrs-230049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2024]
Abstract
BACKGROUND The self-controlled case series (SCCS) is often used to monitor vaccine safety. The evaluation of intussusception after the rotavirus vaccine is complicated because the baseline rate varies with age. Time-varying baseline risk adjustments with data from unexposed cohorts are utilised. Self-controlled risk interval (SCRI), with a shorter observation period, can also mitigate the problem by studying a control period close to the risk period. OBJECTIVE An Indian rotavirus vaccine has previously been studied using SCCS. The risk of intussusception in the high-risk windows (21 days after vaccination) was comparable to the background risk. The aim was to re-analyse data of an existing SCCS study using alternate statistical methods to examine vaccine safety. METHODS We examined the mean age of intussusception in the vaccinated and the unvaccinated. We performed an SCRI analysis of the surveillance data from the SCCS study, limiting the observation period to 180 days. We analysed the time-to-intussusception from the last vaccination. Finally, we performed an SCCS analysis, excluding unvaccinated cases from the analysis. RESULTS We found that the mean age of intussusception was significantly lower in the vaccinated (205 days) compared to the unvaccinated (223 days) (p-value 0.0026). The Incident Risk Ratio (IRR) on SCRI analysis was 1.62 (95% CI 1.07-2.44). There were significantly more intussusceptions in the first 30 days after vaccination compared to the next 30-day window. (92 vs 63 p-value = 0.009). We found that excluding unvaccinated infants from the SCCS analysis demonstrated significantly increased risk for the risk period 1-21 days after the 3rd dose (IRR 2.47, 95% CI 1.70-3.59). The risks of intussusception were missed in traditional SCCS analysis using unvaccinated infants as controls. CONCLUSION Traditional risk adjustments using data from unexposed cohorts in SCCS may not be appropriate for investigating the risk of intussusception where vaccination lowers the mean age of intussusception.
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Affiliation(s)
- Jacob Puliyel
- International Institute of Health Management Research, New Delhi, India
| | - Brian S Hooker
- Simpson University, Redding, CA, USA
- Children's Health Defence, Franklin Lakes, NJ, USA
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Wachira VK, Farinasso CM, Silva RB, Peixoto HM, de Oliveira MRF. Incidence of Guillain-Barré syndrome in the world between 1985 and 2020: A systematic review. GLOBAL EPIDEMIOLOGY 2023; 5:100098. [PMID: 37638372 PMCID: PMC10445966 DOI: 10.1016/j.gloepi.2023.100098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 01/10/2023] [Accepted: 01/10/2023] [Indexed: 01/13/2023] Open
Abstract
Introduction Guillain-Barré syndrome (GBS) is an acute inflammatory demyelinating polyradiculoneuropathy that affects the peripheral nervous system. The study aimed to describe the incidence of GBS in the world up to the year 2020. Methods A systematic review was conducted. Searches were done in four databases, PUBMED, EMBASE, EBSCO and Biblioteca virtual em Saude (BVS), and in grey literature and manual search in the reference lists of eligible studies. Results A total of 72 studies were included. The incidence of GBS among the cohort studies varied from 0.30 to 6.08 cases per 100.000 habitants and 0.42 to 6.58 cases per 100.000 person-years. Among the self-controlled studies, the risk incidence ranged from 0.072 to 1 case per 100.000 habitants and 1.73 to 4.30 cases per 100.000 person-years. Conclusions The reported incidence of GBS in the world among the studies included in the review is slightly higher than that reported in previous studies. The highest incidence rates were associated with public health events of international concern.
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Affiliation(s)
- Virginia Kagure Wachira
- Núcleo de Medicina Tropical, Faculdade de Medicina, Universidade de Brasília, Brasília, Brazil
| | | | | | - Henry Maia Peixoto
- Núcleo de Medicina Tropical, Faculdade de Medicina, Universidade de Brasília, Brasília, Brazil
- Instituto de Avaliação de Tecnologia em Saúde, Porto Alegre, Brazil
| | - Maria Regina Fernandes de Oliveira
- Núcleo de Medicina Tropical, Faculdade de Medicina, Universidade de Brasília, Brasília, Brazil
- Instituto de Avaliação de Tecnologia em Saúde, Porto Alegre, Brazil
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Vazquez-Benitez G, Haapala JL, Lipkind HS, DeSilva MB, Zhu J, Daley MF, Getahun D, Klein NP, Vesco KK, Irving SA, Nelson JC, Williams JTB, Hambidge SJ, Donahue J, Fuller CC, Weintraub ES, Olson C, Kharbanda EO. COVID-19 Vaccine Safety Surveillance in Early Pregnancy in the United States: Design Factors Affecting the Association Between Vaccine and Spontaneous Abortion. Am J Epidemiol 2023; 192:1386-1395. [PMID: 36928091 PMCID: PMC10466212 DOI: 10.1093/aje/kwad059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 12/21/2022] [Accepted: 03/14/2023] [Indexed: 03/18/2023] Open
Abstract
In the Vaccine Safety Datalink (VSD), we previously reported no association between coronavirus disease 2019 (COVID-19) vaccination in early pregnancy and spontaneous abortion (SAB). The present study aims to understand how time since vaccine rollout or other methodological factors could affect results. Using a case-control design and generalized estimating equations, we estimated the odds ratios (ORs) of COVID-19 vaccination in the 28 days before a SAB or last date of the surveillance period (index date) in ongoing pregnancies and occurrence of SAB, across cumulative 4-week periods from December 2020 through June 2021. Using data from a single site, we evaluated alternative methodological approaches: increasing the exposure window to 42 days, modifying the index date from the last day to the midpoint of the surveillance period, and constructing a cohort design with a time-dependent exposure model. A protective effect (OR = 0.78, 95% confidence interval: 0.69, 0.89), observed with 3-cumulative periods ending March 8, 2021, was attenuated when surveillance extended to June 28, 2021 (OR = 1.02, 95% confidence interval: 0.96, 1.08). We observed a lower OR for a 42-day window compared with a 28-day window. The time-dependent model showed no association. Timing of the surveillance appears to be an important factor affecting the observed vaccine-SAB association.
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Affiliation(s)
- Gabriela Vazquez-Benitez
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Jacob L. Haapala
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Heather S. Lipkind
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Malini B. DeSilva
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Jingyi Zhu
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Matthew F. Daley
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Darios Getahun
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Nicola P. Klein
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Kimberly K. Vesco
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Stephanie A. Irving
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Jennifer C. Nelson
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Joshua T. B. Williams
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Simon J. Hambidge
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - James Donahue
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Candace C. Fuller
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Eric S. Weintraub
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Christine Olson
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
| | - Elyse O. Kharbanda
- HealthPartners Institute, Bloomington, Minnesota, United States (Gabriela Vazquez-Benitez, Jacob L. Haapala, Malini B. DeSilva, Jingyi Zhu, Elyse O. Kharbanda); Yale School of Medicine, New Haven, Connecticut, United States (Heather S. Lipkind); Kaiser Permanente Denver, Colorado, United States (Matthew F. Daly); Kaiser Permanente Southern California, Pasadena, California, United States (Darios Getahun); Kaiser Permanente Northern California, Oakland, California, United States (Nicola P. Klein); Kaiser Permanente Northwest, Portland, Oregon, United States (Kimberly K. Vesco, Stephanie A. Irving); Kaiser Permanente Washington, Seattle, Washington, United States (Jennifer C. Nelson); Denver Health, Denver, Colorado, United States (Joshua T. B. Williams, Simon J. Hambidge); Marshfield Clinic, Marshfield, Wisconsin, United States (James Donahue); Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States (Candace C. Fuller); and Centers for Disease Control and Prevention, Atlanta, Georgia, United States (Eric S. Weintraub, Christine Olson)
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Hu C, Wei KC, Wang WH, Chang YC, Huang YT. Association of Influenza Vaccination With Risk of Bell Palsy Among Older Adults in Taiwan. JAMA Otolaryngol Head Neck Surg 2023; 149:726-734. [PMID: 37347468 PMCID: PMC10288376 DOI: 10.1001/jamaoto.2023.1392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Accepted: 04/28/2023] [Indexed: 06/23/2023]
Abstract
Importance Annual administration of the influenza vaccine (fluVc) is currently the most effective method of preventing the influenza virus in older adults. However, half of adults older than 65 years remain unvaccinated in Taiwan, possibly because of concern about adverse events, such as Bell palsy (BP). Currently, studies on the association between fluVc and risk of BP are inconsistent. Objective To determine whether the incidence of BP increases following fluVc in older adults. Design, Setting, and Participants A self-controlled case series study design was used. Days 1 through 7, days 8 through 14, days 15 through 30, and days 31 through 60 following fluVc were identified as risk intervals, and days 61 through 180 were considered the control interval. A total of 4367 vaccinated individuals aged 65 years or older who developed BP within 6 months following fluVc were enrolled. Population-based retrospective claims data were obtained between 2010 and 2017; data were analyzed from April 2022 through September 2022. Exposure Government-funded seasonal fluVc. Main Outcomes and Measures The outcome of interest was BP onset in risk intervals compared with control intervals. Three or more consecutive diagnoses of BP within 60 days following fluVc were used as the definition of a patient with BP. Poisson regression was used to analyze the incidence rate ratio (IRR) of risk intervals compared with control intervals. Results In total, 13 261 521 patients who received the fluVc were extracted from the National Health Insurance Research Database in Taiwan from January 1, 2010, to December 31, 2017. Of those, 7 581 205 patients older than 65 years old met the inclusion criteria. The number of patients with BP diagnosed within 6 months following fluVc enrolled for risk analysis was 4367 (mean [SD] age, 74.19 [5.97] years; 2349 [53.79%] female patients). The incidence rate of BP among all observed fluVc older adults was 57.87 per 100 000 person-years. The IRRs for BP on days 1 through 7, days 8 through 14, and days 15 through 30 were 4.18 (95% CI, 3.82-4.59), 2.73 (95% CI, 2.45-3.05), and 1.67 (95% CI, 1.52-1.84), respectively. However, there was no increase during days 31 through 60 (IRR, 1.06; 95% CI, 0.97-1.16). The postvaccination risk of BP was consistent across all subgroups stratified by sex, age group, and baseline conditions. Conclusions and Relevance The present self-controlled case series indicated that the risk of BP in individuals older than 65 years increased within the first month, especially within the first week, following fluVc. But overall, the adverse event rate of BP was low, and considering the morbidity and mortality of influenza infection, the benefits of fluVc still outweigh the risks.
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Affiliation(s)
- Chin Hu
- Department of Nuclear Medicine, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Kai-Che Wei
- Department of Dermatology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
- School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Wen-Hwa Wang
- Division of Cardiology, Department of Internal Medicine, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
- Health Management Center, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
- Department of Cardiology, Harefield Hospital, Royal Brompton and Harefield NHS Foundation Trust, London, United Kingdom
| | - Yu-Chia Chang
- Department of Long Term Care, College of Health and Nursing, National Quemoy University, Kinmen County, Taiwan
- Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung, Taiwan
| | - Yu-Tung Huang
- Center for Big Data Analytics and Statistics, Department of Medical Research & Development, Chang Gung Memorial Hospital Linkou Main Branch, Taoyuan, Taiwan
- Department of Health Care Management, College of Management, Chang Gung University, Taoyuan, Taiwan
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13
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Mbinta JF, Wang AX, Nguyen BP, Paynter J, Awuni PMA, Pine R, Sporle AA, Bowe S, Simpson CR. Herpes zoster vaccine safety in the Aotearoa New Zealand population: a self-controlled case series study. Nat Commun 2023; 14:4330. [PMID: 37468475 DOI: 10.1038/s41467-023-39595-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 06/19/2023] [Indexed: 07/21/2023] Open
Abstract
In Aotearoa New Zealand, zoster vaccine live is used for the prevention of zoster and associated complications in adults. This study assessed the risk of pre-specified serious adverse events following zoster vaccine live immunisation among adults in routine clinical practice. We conducted a self-controlled case series study using routinely collected national data. We compared the incidence of serious adverse events during the at-risk period with the control period. Rate ratios were estimated using Conditional Poisson regression models. Falsification outcomes analyses were used to evaluate biases in our study population. From April 2018 to July 2021, 278,375 received the vaccine. The rate ratio of serious adverse events following immunisation was 0·43 (95% confidence interval [CI]: 0·37-0·50). There was no significant increase in the risk of cerebrovascular accidents, acute myocardial infarction, acute pericarditis, acute myocarditis, and Ramsay-Hunt Syndrome. The herpes zoster vaccine is safe in adults in Aotearoa New Zealand.
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Affiliation(s)
- James F Mbinta
- School of Health, Wellington Faculty of Health, Victoria University of Wellington, Wellington, New Zealand.
| | - Alex X Wang
- School of Mathematics and Statistics, Wellington Faculty of Engineering, Victoria University of Wellington, Wellington, New Zealand
| | - Binh P Nguyen
- School of Mathematics and Statistics, Wellington Faculty of Engineering, Victoria University of Wellington, Wellington, New Zealand
| | - Janine Paynter
- Department of General Practice & Primary Healthcare, University of Auckland, Auckland, New Zealand
| | | | - Russell Pine
- School of Health, Wellington Faculty of Health, Victoria University of Wellington, Wellington, New Zealand
| | - Andrew A Sporle
- iNZight Analytics Ltd., Department of Statistics, Faculty of Science, University of Auckland, Auckland, New Zealand
| | - Steve Bowe
- School of Health, Wellington Faculty of Health, Victoria University of Wellington, Wellington, New Zealand
| | - Colin R Simpson
- School of Health, Wellington Faculty of Health, Victoria University of Wellington, Wellington, New Zealand.
- Usher Institute, The University of Edinburgh, Edinburgh, UK.
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14
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Zacay G, Heymann AD. Intra-articular and soft-tissue corticosteroid injections and risk of infections: Population-based self-controlled-risk-interval design. Pharmacoepidemiol Drug Saf 2023; 32:718-725. [PMID: 36779247 DOI: 10.1002/pds.5602] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 01/30/2023] [Accepted: 02/09/2023] [Indexed: 02/14/2023]
Abstract
PURPOSE Chronic and short-term treatment with oral corticosteroids is associated with an increased risk of infection. However, the potential risk of infection that may be associated with intra-articular and soft-tissue injections of corticosteroids has not been reported. The aim of this study was to assess the risk for infection following intra-articular or soft-tissue corticosteroid injections. METHODS Self-controlled-risk-interval study with 15 732 adults who were treated with intra-articular or soft-tissue corticosteroid injections during 2015-2018. The study was conducted in a large Israeli Health Maintenance Organization. We self-matched the participants and analyzed the incidence of infection over three periods: an exposure-period of 90 days following the injection, and two 90-day control periods. We identified the occurrence of several common infections in the patient's electronic medical record and analyzed the incidence rates of all infections (composite end-point) as well as each infection separately. RESULTS The incidence of any infection was higher during postexposure period compared with the control periods (46.5 vs. 42.1 events per 1000 persons), number needed to harm was 227 persons. Self-matching analysis showed increased incidence-rate-ratio (IRR) for the combined incidence of infections in the post-exposure period compared with the control periods (IRR = 1.10, 95% confidence interval [CI] 1.01-1.21). A sensitivity analysis showed that the highest IRR was during the first 30 days (IRR = 1.19, 95% CI 1.03-1.38), with higher IRR for patients aged 65 years and older (IRR = 1.37, 95% CI 1.08-1.73). CONCLUSIONS Intra-articular and soft-tissue corticosteroids injections may be associated with an increased risk of infections; however, the absolute risk increase is low.
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Affiliation(s)
- Galia Zacay
- Department of Family Medicine, Meuhedet Health Maintenance Organization, Tel Aviv, Israel
- Department of Family Medicine, Sackler Faculty of Medicine, University of Tel Aviv, Tel Aviv, Israel
| | - Anthony D Heymann
- Department of Family Medicine, Meuhedet Health Maintenance Organization, Tel Aviv, Israel
- Department of Family Medicine, Sackler Faculty of Medicine, University of Tel Aviv, Tel Aviv, Israel
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15
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Jeong NY, Park H, Oh S, Jung SE, Kim DH, Shin HS, Han HC, Lee JK, Woo JH, Park BJ, Choi NK. A framework for nationwide COVID-19 vaccine safety research in the Republic of Korea: the COVID-19 Vaccine Safety Research Committee. Osong Public Health Res Perspect 2023; 14:5-14. [PMID: 36944340 DOI: 10.24171/j.phrp.2023.0026] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 02/14/2023] [Indexed: 03/06/2023] Open
Abstract
With the introduction of coronavirus disease 2019 (COVID-19) vaccines, the Korea Disease Control and Prevention Agency (KDCA) commissioned the National Academy of Medicine of Korea to gather experts to independently assess post-vaccination adverse events. Accordingly, the COVID-19 Vaccine Safety Research Committee (CoVaSC) was launched in November 2021 to perform safety studies and establish evidence for policy guidance. The CoVaSC established 3 committees for epidemiology, clinical research, and communication. The CoVaSC mainly utilizes pseudonymized data linking KDCA's COVID-19 vaccination data and the National Health Insurance Service's claims data. The CoVaSC's 5-step research process involves defining the target diseases and organizing ad-hoc committees, developing research protocols, performing analyses, assessing causal relationships, and announcing research findings and utilizing them to guide compensation policies. As of 2022, the CoVaSC completed this research process for 15 adverse events. The CoVaSC launched the COVID-19 Vaccine Safety Research Center in September 2022 and has been reorganized into 4 divisions to promote research including international collaborative studies, long-/short-term follow-up studies, and education programs. Through these enhancements, the CoVaSC will continue to swiftly provide scientific evidence for COVID-19 vaccine research and compensation and may serve as a model for preparing for future epidemics of new diseases.
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Affiliation(s)
- Na-Young Jeong
- COVID-19 Vaccine Safety Research Center, Seoul, Korea
- Department of Health Convergence, College of Science & Industry Convergence, Ewha Womans University, Seoul, Korea
| | - Hyesook Park
- COVID-19 Vaccine Safety Research Center, Seoul, Korea
- Department of Preventive Medicine, College of Medicine, Graduate Program in System Health Science & Engineering, Ewha Womans University, Seoul, Korea
- National Academy of Medicine of Korea, Seoul, Korea
| | - Sanghoon Oh
- COVID-19 Vaccine Safety Research Center, Seoul, Korea
- Department of Psychiatry, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu, Korea
| | - Seung Eun Jung
- COVID-19 Vaccine Safety Research Center, Seoul, Korea
- National Academy of Medicine of Korea, Seoul, Korea
- Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Dong-Hyun Kim
- COVID-19 Vaccine Safety Research Center, Seoul, Korea
- Department of Social and Preventive Medicine, Hallym University College of Medicine, Chuncheon, Korea
| | - Hyoung-Shik Shin
- COVID-19 Vaccine Safety Research Center, Seoul, Korea
- Department of Infectious Diseases, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, Korea
| | - Hee Chul Han
- COVID-19 Vaccine Safety Research Center, Seoul, Korea
- National Academy of Medicine of Korea, Seoul, Korea
- Department of Physiology, Korea University College of Medicine, Seoul, Korea
| | - Jong-Koo Lee
- COVID-19 Vaccine Safety Research Center, Seoul, Korea
- National Academy of Medicine of Korea, Seoul, Korea
| | - Jun Hee Woo
- COVID-19 Vaccine Safety Research Center, Seoul, Korea
- National Academy of Medicine of Korea, Seoul, Korea
| | - Byung-Joo Park
- COVID-19 Vaccine Safety Research Center, Seoul, Korea
- National Academy of Medicine of Korea, Seoul, Korea
| | - Nam-Kyong Choi
- COVID-19 Vaccine Safety Research Center, Seoul, Korea
- Department of Health Convergence, College of Science & Industry Convergence, Ewha Womans University, Seoul, Korea
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16
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Yang T, Ma R, Ye L, Mei Q, Wang J, Feng Y, Zhou S, Pan X, Hu D, Zhang D. Risk of peripheral facial palsy following parenteral inactivated influenza vaccination in the elderly Chinese population. Front Public Health 2023; 11:1047391. [PMID: 36761129 PMCID: PMC9902766 DOI: 10.3389/fpubh.2023.1047391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Accepted: 01/06/2023] [Indexed: 01/26/2023] Open
Abstract
Background Concern about the risk of peripheral facial palsy (PFP) following vaccination is one reason for hesitancy in influenza vaccination. However, the association between the flu vaccine and PFP is still controversial, and further evidence is urgently needed. Methods This self-controlled case series study evaluated PFP risk following inactivated influenza vaccine in the elderly using a large linked database in Ningbo, China. Relative incidence ratios (RIRs) and 95% confidence intervals (CIs) estimated using conditional Poisson regression were utilized to determine whether the risk of PFP was increased after vaccination. Results This study included 467 episodes, which occurred in 244 females and 220 males. One hundred twenty-four episodes happened within 1-91 days after vaccination, accounting for 26.7%. The adjusted RIRs within 1-30 days, 31-60 days, 61-91 days, and 1-91 days after influenza vaccination were 0.95 (95% CI 0.69-1.30), 1.08 (95% CI 0.78-1.49), 1.01 (95% CI 0.70-1.45), and 1.00 (95% CI 0.81-1.24), respectively. Similar results were found in subgroup analyses and sensitivity analyses. Conclusions Influenza vaccination does not increase PFP risk in the elderly population. This finding provides evidence to overcome concerns about facial paralysis after influenza vaccination.
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Affiliation(s)
- Tianchi Yang
- Immunization Center, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China
| | - Rui Ma
- Immunization Center, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China
| | - Lixia Ye
- Immunization Center, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China
| | - Qiuhong Mei
- Immunization Center, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China
| | - Jianmei Wang
- Immunization Center, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China
| | - Yueyi Feng
- Immunization Center, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China
| | - Shaoying Zhou
- Immunization Center, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China
| | - Xingqiang Pan
- Immunization Center, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China
| | - Danbiao Hu
- Immunization Center, Ninghai County Center for Disease Control and Prevention, Ningbo, China
| | - Dandan Zhang
- Immunization Center, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China,*Correspondence: Dandan Zhang ✉
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17
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Kamidani S, Panagiotakopoulos L, Licata C, Daley MF, Yih WK, Zerbo O, Tseng HF, DeSilva MB, Nelson JC, Groom HC, Williams JT, Hambidge SJ, Donahue JG, Belay ED, Weintraub ES. Kawasaki Disease Following the 13-valent Pneumococcal Conjugate Vaccine and Rotavirus Vaccines. Pediatrics 2022; 150:e2022058789. [PMID: 36349537 PMCID: PMC9724171 DOI: 10.1542/peds.2022-058789] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/12/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Temporal associations between Kawasaki disease (KD) and childhood vaccines have been reported. Limited data on KD following 13-valent pneumococcal conjugate (PCV13) and rotavirus vaccines are available. METHODS We conducted a self-controlled risk interval study using Vaccine Safety Datalink electronic health record data to investigate the risk of KD following PCV13 and rotavirus vaccines in children <2 years of age who were born from 2006 to 2017. All hospitalized KD cases identified by International Classification of Diseases diagnosis codes that fell within predefined risk (days 1-28 postvaccination) and control (days 29-56 for doses 1 and 2, and days 43-70 for doses 3 and 4) intervals were confirmed by manual chart review. RESULTS During the study period, 655 cases of KD were identified by International Classification of Diseases codes. Of these, 97 chart-confirmed cases were within risk or control intervals. In analyses, the age-adjusted relative risk for KD following any dose of PCV13 was 0.75 (95% confidence interval, 0.47-1.21). Similarly, the age-adjusted relative risk for KD following any dose of rotavirus vaccine was 0.66 (95% CI, 0.40-1.09). Overall, there was no evidence of an elevated risk of KD following PCV13 or rotavirus vaccines by dose. In addition, no statistically significant temporal clustering of KD cases was identified during days 1 to 70 postvaccination. CONCLUSIONS PCV13 and rotavirus vaccination were not associated with an increased risk of KD in children <2 years of age. Our findings provide additional evidence for the overall safety of PCV13 and rotavirus vaccines.
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Affiliation(s)
- Satoshi Kamidani
- The Center for Childhood Infections and Vaccines of Children’s Healthcare of Atlanta and the Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia
- Immunization Safety Office, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Charles Licata
- Immunization Safety Office, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Matthew F. Daley
- Institute for Health Research, Kaiser Permanente Colorado, Denver, Colorado
| | - W. Katherine Yih
- The Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Ousseny Zerbo
- Kaiser Permanente Northern California, Vaccine Study Center, Oakland, California
| | - Hung Fu Tseng
- Kaiser Permanente Southern California, Pasadena, California
| | | | - Jennifer C. Nelson
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | - Holly C. Groom
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon
| | | | | | | | - Ermias D. Belay
- Division of High-Consequence Pathogens and Pathology, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Eric S. Weintraub
- Immunization Safety Office, Centers for Disease Control and Prevention, Atlanta, Georgia
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18
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Bots SH, Riera-Arnau J, Belitser SV, Messina D, Aragón M, Alsina E, Douglas IJ, Durán CE, García-Poza P, Gini R, Herings RMC, Huerta C, Sisay MM, Martín-Pérez M, Martin I, Overbeek JA, Paoletti O, Pallejà-Millán M, Schultze A, Souverein P, Swart KMA, Villalobos F, Klungel OH, Sturkenboom MCJM. Myocarditis and pericarditis associated with SARS-CoV-2 vaccines: A population-based descriptive cohort and a nested self-controlled risk interval study using electronic health care data from four European countries. Front Pharmacol 2022; 13:1038043. [PMID: 36506571 PMCID: PMC9730238 DOI: 10.3389/fphar.2022.1038043] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 10/31/2022] [Indexed: 11/25/2022] Open
Abstract
Background: Estimates of the association between COVID-19 vaccines and myo-/pericarditis risk vary widely across studies due to scarcity of events, especially in age- and sex-stratified analyses. Methods: Population-based cohort study with nested self-controlled risk interval (SCRI) using healthcare data from five European databases. Individuals were followed from 01/01/2020 until end of data availability (31/12/2021 latest). Outcome was first myo-/pericarditis diagnosis. Exposures were first and second dose of Pfizer, AstraZeneca, Moderna, and Janssen COVID-19 vaccines. Baseline incidence rates (IRs), and vaccine- and dose-specific IRs and rate differences were calculated from the cohort The SCRI calculated calendar time-adjusted IR ratios (IRR), using a 60-day pre-vaccination control period and dose-specific 28-day risk windows. IRRs were pooled using random effects meta-analysis. Findings: Over 35 million individuals (49·2% women, median age 39-49 years) were included, of which 57·4% received at least one COVID-19 vaccine dose. Baseline incidence of myocarditis was low. Myocarditis IRRs were elevated after vaccination in those aged < 30 years, after both Pfizer vaccine doses (IRR = 3·3, 95%CI 1·2-9.4; 7·8, 95%CI 2·6-23·5, respectively) and Moderna vaccine dose 2 (IRR = 6·1, 95%CI 1·1-33·5). An effect of AstraZeneca vaccine dose 2 could not be excluded (IRR = 2·42, 95%CI 0·96-6·07). Pericarditis was not associated with vaccination. Interpretation: mRNA-based COVID-19 vaccines and potentially AstraZeneca are associated with increased myocarditis risk in younger individuals, although absolute incidence remains low. More data on children (≤ 11 years) are needed.
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Affiliation(s)
- Sophie H. Bots
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, Netherlands
| | - Judit Riera-Arnau
- Department of Datascience and Biostatistics, Julius Center for Health Sciences and Primary Health, University Medical Center Utrecht, Utrecht, Netherlands
- Clinical Pharmacology Service, Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Svetlana V. Belitser
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, Netherlands
| | | | - Maria Aragón
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Ema Alsina
- Department of Datascience and Biostatistics, Julius Center for Health Sciences and Primary Health, University Medical Center Utrecht, Utrecht, Netherlands
- Clinical Pharmacology Service, Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Ian J. Douglas
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Carlos E. Durán
- Department of Datascience and Biostatistics, Julius Center for Health Sciences and Primary Health, University Medical Center Utrecht, Utrecht, Netherlands
- Clinical Pharmacology Service, Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Universitat Autònoma de Barcelona, Barcelona, Spain
| | | | - Rosa Gini
- Agenzia Regionale di Sanitá, Florence, Toscana, Italy
| | | | - Consuelo Huerta
- Spanish Agency for Medicines and Medical Devices (AEMPS), Madrid, Spain
| | - Malede Mequanent Sisay
- Department of Datascience and Biostatistics, Julius Center for Health Sciences and Primary Health, University Medical Center Utrecht, Utrecht, Netherlands
- Clinical Pharmacology Service, Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Mar Martín-Pérez
- Spanish Agency for Medicines and Medical Devices (AEMPS), Madrid, Spain
| | - Ivonne Martin
- Department of Datascience and Biostatistics, Julius Center for Health Sciences and Primary Health, University Medical Center Utrecht, Utrecht, Netherlands
- Clinical Pharmacology Service, Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Universitat Autònoma de Barcelona, Barcelona, Spain
| | | | - Olga Paoletti
- Agenzia Regionale di Sanitá, Florence, Toscana, Italy
| | - Meritxell Pallejà-Millán
- Unitat de Suport a la Recerca Tarragona-Reus, Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Anna Schultze
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Patrick Souverein
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, Netherlands
| | | | - Felipe Villalobos
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Olaf H. Klungel
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, Netherlands
| | - Miriam C. J. M. Sturkenboom
- Department of Datascience and Biostatistics, Julius Center for Health Sciences and Primary Health, University Medical Center Utrecht, Utrecht, Netherlands
- Clinical Pharmacology Service, Vall d’Hebron Hospital Universitari, Vall d’Hebron Barcelona Hospital Campus, Universitat Autònoma de Barcelona, Barcelona, Spain
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19
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Akpandak I, Miller DC, Sun Y, Arnold BF, Kelly JD, Acharya NR. Assessment of Herpes Zoster Risk Among Recipients of COVID-19 Vaccine. JAMA Netw Open 2022; 5:e2242240. [PMID: 36383382 PMCID: PMC9669817 DOI: 10.1001/jamanetworkopen.2022.42240] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 10/04/2022] [Indexed: 11/17/2022] Open
Abstract
Importance Herpes zoster infection after COVID-19 vaccination has been reported in numerous case studies. It is not known whether these cases represent increased reporting or a true increase in risk. Objective To assess whether COVID-19 vaccination is associated with an increased risk of herpes zoster infection. Design, Setting, and Participants This cohort study used a self-controlled risk interval (SCRI) design to compare the risk of herpes zoster in a risk interval of 30 days after COVID-19 vaccination or up to the date of the second vaccine dose with a control interval remote from COVID-19 vaccination (defined as 60-90 days after the last recorded vaccination date for each individual, allowing for a 30-day washout period between control and risk intervals). A supplemental cohort analysis was used to compare the risk of herpes zoster after COVID-19 vaccination with the risk of herpes zoster after influenza vaccination among 2 historical cohorts who received an influenza vaccine in the prepandemic period (January 1, 2018, to December 31, 2019) or the early pandemic period (March 1, 2020, to November 30, 2020). Data were obtained from Optum Labs Data Warehouse, a US national deidentified claims-based database. A total of 2 039 854 individuals who received any dose of a COVID-19 vaccine with emergency use authorization (BNT162b2 [Pfizer-BioNTech], mRNA-1273 [Moderna], or Ad26.COV2.S [Johnson & Johnson]) from December 11, 2020, through June 30, 2021, were eligible for inclusion. Individuals included in the SCRI analysis were a subset of the COVID-19-vaccinated cohort who had herpes zoster during either a risk or control interval. Exposures Any dose of a COVID-19 vaccine. Main Outcomes and Measures Incident herpes zoster, defined by International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes and a prescription of a new antiviral medication or a dose increase in antiviral medication within 5 days of diagnosis. Results Among 2 039 854 individuals who received any dose of a COVID-19 vaccine during the study period, the mean (SD) age was 43.2 (16.3) years; 1 031 149 individuals (50.6%) were female, and 1 344 318 (65.9%) were White. Of those, 1451 patients (mean [SD] age, 51.6 [12.6] years; 845 [58.2%] female) with a herpes zoster diagnosis were included in the primary SCRI analysis. In the SCRI analysis, COVID-19 vaccination was not associated with an increased risk of herpes zoster after adjustment (incidence rate ratio, 0.91; 95% CI, 0.82-1.01; P = .08). In the supplementary cohort analysis, COVID-19 vaccination was not associated with a higher risk of herpes zoster compared with influenza vaccination in the prepandemic period (first dose of COVID-19 vaccine: hazard ratio [HR], 0.78 [95% CI, 0.70-0.86; P < .001]; second dose of COVID-19 vaccine: HR, 0.79 [95% CI, 0.71-0.88; P < .001]) or the early pandemic period (first dose of COVID-19 vaccine: HR, 0.89 [95% CI, 0.80-1.00; P = .05]; second dose: HR, 0.91 [95% CI, 0.81-1.02; P = .09]). Conclusions and Relevance In this study, there was no association found between COVID-19 vaccination and an increased risk of herpes zoster infection, which may help to address concerns about the safety profile of the COVID-19 vaccines among patients and clinicians.
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Affiliation(s)
- Idara Akpandak
- F.I. Proctor Foundation, University of California, San Francisco, San Francisco
| | - D. Claire Miller
- F.I. Proctor Foundation, University of California, San Francisco, San Francisco
| | - Yuwei Sun
- F.I. Proctor Foundation, University of California, San Francisco, San Francisco
| | - Benjamin F. Arnold
- F.I. Proctor Foundation, University of California, San Francisco, San Francisco
- Department of Ophthalmology, University of California, San Francisco, San Francisco
| | - J. Daniel Kelly
- F.I. Proctor Foundation, University of California, San Francisco, San Francisco
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco
- Institute for Global Health Sciences, University of California, San Francisco, San Francisco
| | - Nisha R. Acharya
- F.I. Proctor Foundation, University of California, San Francisco, San Francisco
- Department of Ophthalmology, University of California, San Francisco, San Francisco
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco
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20
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Ab Rahman N, Lim MT, Lee FY, Ong SM, Peariasamy KM, Sivasampu S. A Case-Based Monitoring Approach to Evaluate Safety of COVID-19 Vaccines in a Partially Integrated Health Information System: A Study Protocol. Front Pharmacol 2022; 13:834940. [PMID: 35910370 PMCID: PMC9328743 DOI: 10.3389/fphar.2022.834940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 06/14/2022] [Indexed: 11/13/2022] Open
Abstract
In response to Coronavirus disease 2019 (COVID-19) global pandemic, various COVID-19 vaccines were rapidly administered under emergency use authorization. Rare outcomes associated with COVID-19 vaccines might be less likely to be captured in clinical trials, leading to a knowledge gap in real-world vaccine safety. In contrast with high-income countries, many low-to-middle income countries have limited capacity to conduct active surveillance, owing to the absence of large and fully-integrated health information databases. This paper describes the study protocol, which aims to investigate risk of prespecified adverse events of special interests following COVID-19 vaccination in a partially integrated health information system with non-shareable electronic health records. The SAFECOVAC study is a longitudinal, observational retrospective study of active safety surveillance using case-based monitoring approach. This involves linkage of several administrative databases and hospitalization data monitoring to identify adverse events of special interests following administration of COVID-19 vaccines in Malaysia. The source population comprises of all individuals who received at least one dose of COVID-19 vaccine. Self-controlled design and vaccinated case-coverage design will be employed to assess risk of adverse events of special interests and determine the association with vaccine exposure. Data on vaccination records will be obtained from the national COVID-19 vaccination register to identify the vaccination platforms, doses and the timing of vaccinations. The outcome of this study is hospitalization for the adverse events of special interests between March 2021 and June 2022. The outcomes will be obtained through linkage with hospital admission database and national pharmacovigilance database. Findings will provide analysis of real-world data which can inform deliberations by government and public health decision makers relative to the refinement of COVID-19 vaccination recommendations.
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Affiliation(s)
- Norazida Ab Rahman
- Institute for Clinical Research, National Institutes of Health, Ministry of Health, Selangor, Malaysia
- *Correspondence: Norazida Ab Rahman,
| | - Ming Tsuey Lim
- Institute for Clinical Research, National Institutes of Health, Ministry of Health, Selangor, Malaysia
| | - Fei Yee Lee
- Clinical Research Centre, Selayang Hospital, Ministry of Health, Selangor, Malaysia
| | - Su Miin Ong
- Institute for Clinical Research, National Institutes of Health, Ministry of Health, Selangor, Malaysia
| | - Kalaiarasu M. Peariasamy
- Institute for Clinical Research, National Institutes of Health, Ministry of Health, Selangor, Malaysia
| | - Sheamini Sivasampu
- Institute for Clinical Research, National Institutes of Health, Ministry of Health, Selangor, Malaysia
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21
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Lai LY, Arshad F, Areia C, Alshammari TM, Alghoul H, Casajust P, Li X, Dawoud D, Nyberg F, Pratt N, Hripcsak G, Suchard MA, Prieto-Alhambra D, Ryan P, Schuemie MJ. Current Approaches to Vaccine Safety Using Observational Data: A Rationale for the EUMAEUS (Evaluating Use of Methods for Adverse Events Under Surveillance-for Vaccines) Study Design. Front Pharmacol 2022; 13:837632. [PMID: 35392566 PMCID: PMC8980923 DOI: 10.3389/fphar.2022.837632] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 02/08/2022] [Indexed: 12/28/2022] Open
Abstract
Post-marketing vaccine safety surveillance aims to detect adverse events following immunization in a population. Whether certain methods of surveillance are more precise and unbiased in generating safety signals is unclear. Here, we synthesized information from existing literature to provide an overview of the strengths, weaknesses, and clinical applications of epidemiologic and analytical methods used in vaccine monitoring, focusing on cohort, case-control and self-controlled designs. These designs are proposed to be evaluated in the EUMAEUS (Evaluating Use of Methods for Adverse Event Under Surveillance-for vaccines) study because of their widespread use and potential utility. Over the past decades, there have been an increasing number of epidemiological study designs used for vaccine safety surveillance. While traditional cohort and case-control study designs remain widely used, newer, novel designs such as the self-controlled case series and self-controlled risk intervals have been developed. Each study design comes with its strengths and limitations, and the most appropriate study design will depend on availability of resources, access to records, number and distribution of cases, and availability of population coverage data. Several assumptions have to be made while using the various study designs, and while the goal is to mitigate any biases, violations of these assumptions are often still present to varying degrees. In our review, we discussed some of the potential biases (i.e., selection bias, misclassification bias and confounding bias), and ways to mitigate them. While the types of epidemiological study designs are well established, a comprehensive comparison of the analytical aspects (including method evaluation and performance metrics) of these study designs are relatively less well studied. We summarized the literature, reporting on two simulation studies, which compared the detection time, empirical power, error rate and risk estimate bias across the above-mentioned study designs. While these simulation studies provided insights on the analytic performance of each of the study designs, its applicability to real-world data remains unclear. To bridge that gap, we provided the rationale of the EUMAEUS study, with a brief description of the study design; and how the use of real-world multi-database networks can provide insights into better methods evaluation and vaccine safety surveillance.
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Affiliation(s)
- Lana Yh Lai
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom
| | - Faaizah Arshad
- Department of Biostatistics, University of California, Los Angeles, Los Angeles, CA, United States
| | - Carlos Areia
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Thamir M Alshammari
- Medication Safety Research Chair, King Saud University, Riyadh, Saudi Arabia
| | - Heba Alghoul
- Faculty of Medicine, Islamic University of Gaza, Gaza, Palestine
| | - Paula Casajust
- Real-World Evidence, Trial Form Support, Barcelona, Spain
| | - Xintong Li
- Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, United Kingdom
| | - Dalia Dawoud
- Faculty of Pharmacy, Cairo University, Giza, Egypt
| | - Fredrik Nyberg
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Nicole Pratt
- Clinical and Health Sciences, University of South Australia, Adelaide, SA, Australia
| | - George Hripcsak
- Department of Biomedical Informatics, Columbia University, New York, NY, United States
| | - Marc A Suchard
- Department of Biostatistics, University of California, Los Angeles, Los Angeles, CA, United States.,Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, United States
| | - Dani Prieto-Alhambra
- Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, United Kingdom.,Health Data Sciences, Medical Informatics, Erasmus Medical Center University, Rotterdam, Netherlands
| | - Patrick Ryan
- Department of Biomedical Informatics, Columbia University, New York, NY, United States.,Observational Health Data Analytics, Janssen R&D, Titusville, NJ, United States
| | - Martijn J Schuemie
- Department of Biostatistics, University of California, Los Angeles, Los Angeles, CA, United States.,Observational Health Data Analytics, Janssen R&D, Titusville, NJ, United States
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22
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Anderson TC, Leung JW, Harpaz R, Dooling KL. Risk of Guillain-Barré syndrome following herpes zoster, United States, 2010-2018. Hum Vaccin Immunother 2021; 17:5304-5310. [PMID: 34856864 DOI: 10.1080/21645515.2021.1985890] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Epidemiologic data regarding the risk of Guillain-Barré syndrome (GBS) following herpes zoster (HZ) are limited. We conducted a self-controlled case series analysis using two large national data sources to evaluate the risk of GBS following HZ among U.S. adults. We analyzed medical claims from the IBM® MarketScan® Commercial Claims and Encounters (persons 18-64 years during 2010-2018) and Centers for Medicare and Medicaid Services Medicare (persons ≥65 years during 2014-2018) databases. HZ cases were defined as persons with an outpatient claim with a primary or secondary ICD-9 or ICD-10 diagnostic code for HZ. GBS cases were defined as persons with an inpatient claim with a principle diagnostic code for GBS and an associated procedural code. We compared the rates of GBS following HZ in the 1-42-day risk window versus primary (100-365-day) or secondary (43-99-day) control windows. We identified 489,516 persons 18-64 years of age and 650,229 persons ≥65 years of age with HZ, among whom 11 and 41, respectively, developed GBS 1-365 days following HZ. The risk of GBS following HZ was increased during the risk window as compared to the primary control window for both groups, with a rate ratio of 6.3 (95% CI, 1.8-21.9) for those 18-64 years and 4.1 (95% CI, 1.9-8.7) for those ≥65 years. This study provides new and methodologically rigorous epidemiologic support for an association between HZ and GBS, and useful context regarding the benefits versus potential risks of zoster vaccination.
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Affiliation(s)
- Tara C Anderson
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Jessica W Leung
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | - Kathleen L Dooling
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
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23
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Association between Influenza Vaccination and the Risk of Bell's Palsy in the Korean Elderly. Vaccines (Basel) 2021; 9:vaccines9070746. [PMID: 34358162 PMCID: PMC8310133 DOI: 10.3390/vaccines9070746] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Revised: 06/30/2021] [Accepted: 07/02/2021] [Indexed: 11/24/2022] Open
Abstract
Previous studies have shown controversial results on the risk of Bell’s palsy after influenza vaccination. Since the antigenic components of influenza vaccine can vary from season to season, continuous safety monitoring is required. The aim of the present study was to determine whether there was an increased risk of Bell’s palsy in the elderly after influenza vaccination between the 2015/2016 and 2017/2018 flu seasons. This study included the elderly who received influenza vaccinations for three flu seasons using a large-linked database of vaccination registration data from the Korea Disease Control and Prevention Agency and the National Health Insurance Service claims data. We used a self-controlled risk interval design with a risk interval of 1 to 42 days and a control interval of 57 to 98 days postvaccination and calculated the incidence rate ratio. To ensure the robustness of the results, sensitivity analyses were also carried out with different risk and control intervals. Of 4,653,440 elderly people who received the influenza vaccine, there was no statistically significant increase in the risk of Bell’s palsy (IRR: 0.99, 95% CI: 0.92–1.07). Similar results were found in analysis results for each season and the results of the sensitivity analyses excluding the 2017/2018 season. In conclusion, we found no evidence of an increased risk of Bell’s palsy after influenza vaccination. The results of our study provide reassurance about the safety of the influenza vaccine NIP program. However, it is necessary to continuously monitor the risk of Bell’s palsy during future flu seasons.
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24
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Liu Z, Meng R, Yang Y, Li K, Yin Z, Ren J, Shen C, Feng Z, Zhan S. Progress of Active Surveillance for Vaccine Safety in China. China CDC Wkly 2021; 3:581-583. [PMID: 34594940 PMCID: PMC8392961 DOI: 10.46234/ccdcw2021.150] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Accepted: 06/16/2021] [Indexed: 11/14/2022] Open
Affiliation(s)
- Zhike Liu
- Department of Epidemiology and Biostatistics, Peking University Health Science Center, Beijing, China
- Joint Center for Vaccine Safety of Peking University Health Science Center-Chinese Center for Disease Control and Prevention, Beijing, China
- Key Laboratory for Research and Evaluation of Pharmacovigilance, National Medical Products Administration, Beijing, China
| | - Ruogu Meng
- Joint Center for Vaccine Safety of Peking University Health Science Center-Chinese Center for Disease Control and Prevention, Beijing, China
- Key Laboratory for Research and Evaluation of Pharmacovigilance, National Medical Products Administration, Beijing, China
- National Institute of Health Data Science, Peking University, Beijing, China
| | - Yu Yang
- Joint Center for Vaccine Safety of Peking University Health Science Center-Chinese Center for Disease Control and Prevention, Beijing, China
- Key Laboratory for Research and Evaluation of Pharmacovigilance, National Medical Products Administration, Beijing, China
- National Institute of Health Data Science, Peking University, Beijing, China
| | - Keli Li
- Joint Center for Vaccine Safety of Peking University Health Science Center-Chinese Center for Disease Control and Prevention, Beijing, China
- National Immunization Programme, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zundong Yin
- Joint Center for Vaccine Safety of Peking University Health Science Center-Chinese Center for Disease Control and Prevention, Beijing, China
- National Immunization Programme, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jingtian Ren
- Key Laboratory for Research and Evaluation of Pharmacovigilance, National Medical Products Administration, Beijing, China
- Center for Drug Reevaluation, National Medical Products Administration, Beijing, China
| | - Chuanyong Shen
- Key Laboratory for Research and Evaluation of Pharmacovigilance, National Medical Products Administration, Beijing, China
- Center for Drug Reevaluation, National Medical Products Administration, Beijing, China
| | - Zijian Feng
- Joint Center for Vaccine Safety of Peking University Health Science Center-Chinese Center for Disease Control and Prevention, Beijing, China
- National Immunization Programme, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Siyan Zhan
- Department of Epidemiology and Biostatistics, Peking University Health Science Center, Beijing, China
- Joint Center for Vaccine Safety of Peking University Health Science Center-Chinese Center for Disease Control and Prevention, Beijing, China
- Key Laboratory for Research and Evaluation of Pharmacovigilance, National Medical Products Administration, Beijing, China
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25
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Liu Z, Meng R, Yang Y, Li K, Yin Z, Ren J, Shen C, Feng Z, Zhan S. Active Vaccine Safety Surveillance: Global Trends and Challenges in China. HEALTH DATA SCIENCE 2021; 2021:9851067. [PMID: 38487501 PMCID: PMC10880162 DOI: 10.34133/2021/9851067] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 05/03/2021] [Indexed: 03/17/2024]
Abstract
Importance. The great success in vaccine-preventable diseases has been accompanied by vaccine safety concerns. This has caused vaccine hesitancy to be the top 10 in threats to global health. The comprehensive understanding of adverse events following immunization should be entirely based on clinical trials and postapproval surveillance. It has increasingly been recognized worldwide that the active surveillance of vaccine safety should be an essential part of immunization programs due to its complementary advantages to passive surveillance and clinical trials.Highlights. In the present study, the framework of vaccine safety surveillance was summarized to illustrate the importance of active surveillance and address vaccine hesitancy or safety concerns. Then, the global progress of active surveillance systems was reviewed, mainly focusing on population-based or hospital-based active surveillance. With these successful paradigms, the practical and reliable ways to create robust and similar systems in China were discussed and presented from the perspective of available databases, methodology challenges, policy supports, and ethical considerations.Conclusion. In the inevitable trend of the global vaccine safety ecosystem, the establishment of an active surveillance system for vaccine safety in China is urgent and feasible. This process can be accelerated with the consensus and cooperation of regulatory departments, research institutions, and data owners.
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Affiliation(s)
- Zhike Liu
- Department of Epidemiology and Biostatistics, Peking University Health Science Center, Beijing, China
| | - Ruogu Meng
- National Institute of Health Data Science, Peking University, Beijing, China
| | - Yu Yang
- National Institute of Health Data Science, Peking University, Beijing, China
| | - Keli Li
- National Immunization Programme, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zundong Yin
- National Immunization Programme, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jingtian Ren
- Center for Drug Reevaluation, National Medical Products Administration, BeijingChina
| | - Chuanyong Shen
- Center for Drug Reevaluation, National Medical Products Administration, BeijingChina
| | - Zijian Feng
- National Immunization Programme, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Siyan Zhan
- Department of Epidemiology and Biostatistics, Peking University Health Science Center, Beijing, China
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26
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Bruxvoort K, Sy LS, Ackerson BK, Slezak J, Qian L, Towner W, Reynolds K, Solano Z, Carlson CM, Jacobsen SJ. Challenges in Phase 4 post-licensure safety studies using real world data in the United States: Hepatitis B vaccine example. Vaccine X 2021; 8:100101. [PMID: 34195599 PMCID: PMC8233154 DOI: 10.1016/j.jvacx.2021.100101] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 05/21/2021] [Accepted: 06/04/2021] [Indexed: 01/01/2023] Open
Abstract
Post-licensure vaccine safety studies are essential to identify adverse events that may not have been detected in pre-licensure clinical trials and to address questions that arose during the pre-licensure phase. These studies are increasingly conducted using real-world data collected as part of routine health care delivery. However, design of post-licensure vaccine safety studies involves many pragmatic and scientific decisions, which must be made while balancing diverse stakeholder opinions. Challenges include selecting exposure and comparison groups, deciding on the most appropriate outcome, determining sample size and length of follow-up time, and other analytic considerations. As an example of this process and to inform other post-licensure vaccine safety studies in real-world settings, we discuss our experience with design of an FDA-required Phase 4 post-licensure safety study of a hepatitis B vaccine in a large integrated health care organization in the United States.
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Affiliation(s)
- Katia Bruxvoort
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States
| | - Lina S Sy
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States
| | - Bradley K Ackerson
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States
| | - Jeff Slezak
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States
| | - Lei Qian
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States
| | - William Towner
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States
| | - Kristi Reynolds
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States
| | - Zendi Solano
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States
| | - Cheryl M Carlson
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States
| | - Steven J Jacobsen
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States
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27
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Gidengil C, Goetz MB, Newberry S, Maglione M, Hall O, Larkin J, Motala A, Hempel S. Safety of vaccines used for routine immunization in the United States: An updated systematic review and meta-analysis. Vaccine 2021; 39:3696-3716. [PMID: 34049735 DOI: 10.1016/j.vaccine.2021.03.079] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 03/18/2021] [Accepted: 03/22/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Understanding the safety of vaccines is critical to inform decisions about vaccination. Our objective was to conduct a systematic review of the safety of vaccines recommended for children, adults, and pregnant women in the United States. METHODS We searched the literature in November 2020 to update a 2014 Agency for Healthcare Research and Quality review by integrating newly available data. Studies of vaccines that used a comparator and reported the presence or absence of key adverse events were eligible. Adhering to Evidence-based Practice Center methodology, we assessed the strength of evidence (SoE) for all evidence statements. The systematic review is registered in PROSPERO (CRD42020180089). RESULTS Of 56,603 reviewed citations, 338 studies reported in 518 publications met inclusion criteria. For children, SoE was high for no increased risk of autism following measles, mumps, and rubella (MMR) vaccine. SoE was high for increased risk of febrile seizures with MMR. There was no evidence of increased risk of intussusception with rotavirus vaccine at the latest follow-up (moderate SoE), nor of diabetes (high SoE). There was no evidence of increased risk or insufficient evidence for key adverse events for newer vaccines such as 9-valent human papillomavirus and meningococcal B vaccines. For adults, there was no evidence of increased risk (varied SoE) or insufficient evidence for key adverse events for the new adjuvanted inactivated influenza vaccine and recombinant adjuvanted zoster vaccine. We found no evidence of increased risk (varied SoE) for key adverse events among pregnant women following tetanus, diphtheria, and acellular pertussis vaccine, including stillbirth (moderate SoE). CONCLUSIONS Across a large body of research we found few associations of vaccines and serious key adverse events; however, rare events are challenging to study. Any adverse events should be weighed against the protective benefits that vaccines provide.
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Affiliation(s)
- Courtney Gidengil
- RAND Corporation, 20 Park Plaza, Suite 920, Boston, MA 02116, United States; Boston Children's Hospital, 300 Longwood Avenue, Boston, MA 02115, United States.
| | - Matthew Bidwell Goetz
- VA Greater Los Angeles Healthcare System and David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90073, United States
| | - Sydne Newberry
- RAND Corporation, 1776 Main Street, Santa Monica, CA 90401, United States
| | - Margaret Maglione
- RAND Corporation, 1776 Main Street, Santa Monica, CA 90401, United States
| | - Owen Hall
- RAND Corporation, 1776 Main Street, Santa Monica, CA 90401, United States
| | - Jody Larkin
- RAND Corporation, 1776 Main Street, Santa Monica, CA 90401, United States
| | - Aneesa Motala
- RAND Corporation, 1776 Main Street, Santa Monica, CA 90401, United States; Southern California Evidence Review Center, University of Southern California, Keck School of Medicine, 2001 N Soto Street, Los Angeles, CA 90033, United States
| | - Susanne Hempel
- RAND Corporation, 1776 Main Street, Santa Monica, CA 90401, United States; Southern California Evidence Review Center, University of Southern California, Keck School of Medicine, 2001 N Soto Street, Los Angeles, CA 90033, United States
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28
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Cadarette SM, Maclure M, Delaney JAC, Whitaker HJ, Hayes KN, Wang SV, Tadrous M, Gagne JJ, Consiglio GP, Hallas J. Control yourself: ISPE-endorsed guidance in the application of self-controlled study designs in pharmacoepidemiology. Pharmacoepidemiol Drug Saf 2021; 30:671-684. [PMID: 33715267 PMCID: PMC8251635 DOI: 10.1002/pds.5227] [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] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Accepted: 02/15/2021] [Indexed: 12/11/2022]
Abstract
PURPOSE Consensus is needed on conceptual foundations, terminology and relationships among the various self-controlled "trigger" study designs that control for time-invariant confounding factors and target the association between transient exposures (potential triggers) and abrupt outcomes. The International Society for Pharmacoepidemiology (ISPE) funded a working group of ISPE members to develop guidance material for the application and reporting of self-controlled study designs, similar to Standards of Reporting Observational Epidemiology (STROBE). This first paper focuses on navigation between the types of self-controlled designs to permit a foundational understanding with guiding principles. METHODS We leveraged a systematic review of applications of these designs, that we term Self-controlled Crossover Observational PharmacoEpidemiologic (SCOPE) studies. Starting from first principles and using case examples, we reviewed outcome-anchored (case-crossover [CCO], case-time control [CTC], case-case-time control [CCTC]) and exposure-anchored (self-controlled case-series [SCCS]) study designs. RESULTS Key methodological features related to exposure, outcome and time-related concerns were clarified, and a common language and worksheet to facilitate the design of SCOPE studies is introduced. CONCLUSIONS Consensus on conceptual foundations, terminology and relationships among SCOPE designs will facilitate understanding and critical appraisal of published studies, as well as help in the design, analysis and review of new SCOPE studies. This manuscript is endorsed by ISPE.
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Affiliation(s)
- Suzanne M Cadarette
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.,Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, North Carolina, USA.,WHO Collaborating Centre for Governance, Accountability and Transparency in the Pharmaceutical Sector, Toronto, Ontario, Canada
| | - Malcolm Maclure
- Department of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, Vancouver, British Columbia, Canada
| | - J A Chris Delaney
- College of Pharmacy, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Heather J Whitaker
- Department of Mathematic and Statistics, The Open University, Milton Keynes, UK.,Department of Statistics, Modelling and Economics, Public Health England, London, UK
| | - Kaleen N Hayes
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Shirley V Wang
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Mina Tadrous
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada.,Women's College Hospital, Toronto, Ontario, Canada
| | - Joshua J Gagne
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Giulia P Consiglio
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
| | - Jesper Hallas
- Clinical Pharmacology and Pharmacy, IST, University of Southern Denmark, Odense, Denmark.,Department of Clinical Pharmacology and Biochemistry, Odense University Hospital, Odense, Denmark
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29
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Duszynski KM, Stark JH, Cohet C, Huang WT, Shin JY, Lai ECC, Man KKC, Choi NK, Khromava A, Kimura T, Huang K, Watcharathanakij S, Kochhar S, Chen RT, Pratt NL. Suitability of databases in the Asia-Pacific for collaborative monitoring of vaccine safety. Pharmacoepidemiol Drug Saf 2021; 30:843-857. [PMID: 33634545 DOI: 10.1002/pds.5214] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 02/22/2021] [Indexed: 11/12/2022]
Abstract
INTRODUCTION Information regarding availability of electronic healthcare databases in the Asia-Pacific region is critical for planning vaccine safety assessments particularly, as COVID-19 vaccines are introduced. This study aimed to identify data sources in the region, potentially suitable for vaccine safety surveillance. This manuscript is endorsed by the International Society for Pharmacoepidemiology (ISPE). METHODS Nineteen countries targeted for database reporting were identified using published country lists and review articles. Surveillance capacity was assessed using two surveys: a 9-item introductory survey and a 51-item full survey. Survey questions related to database characteristics, covariate and health outcome variables, vaccine exposure characteristics, access and governance, and dataset linkage capability. Other questions collated research/regulatory applications of the data and local publications detailing database use for research. RESULTS Eleven databases containing vaccine-specific information were identified across 8 countries. Databases were largely national in coverage (8/11, 73%), encompassed all ages (9/11, 82%) with population size from 1.4 to 52 million persons. Vaccine exposure information varied particularly for standardized vaccine codes (5/11, 46%), brand (7/11, 64%) and manufacturer (5/11, 46%). Outcome data were integrated with vaccine data in 6 (55%) databases and available via linkage in 5 (46%) databases. Data approval processes varied, impacting on timeliness of data access. CONCLUSIONS Variation in vaccine data availability, complexities in data access including, governance and data release approval procedures, together with requirement for data linkage for outcome information, all contribute to the challenges in building a distributed network for vaccine safety assessment in the Asia-Pacific and globally. Common data models (CDMs) may help expedite vaccine safety research across the region.
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Affiliation(s)
- Katherine M Duszynski
- Quality Use of Medicines and Pharmacy Research Centre, Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, Australia
| | - James H Stark
- Vaccine Medical, Scientific and Clinical Affairs, Pfizer Inc., New York, New York, USA
| | - Catherine Cohet
- Vaccines Clinical Research & Development, GlaxoSmithKline, Wavre, Belgium
| | - Wan-Ting Huang
- Office of Preventive Medicine, Taiwan Centers for Disease Control, Taipei, Taiwan
| | - Ju-Young Shin
- School of Pharmacy, Sungkyunkwan University, Suwon, South Korea
| | - Edward Chia-Cheng Lai
- School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Kenneth K C Man
- Research Department of Practice and Policy, UCL School of Pharmacy, London, UK.,Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong
| | - Nam-Kyong Choi
- Department of Health Convergence, Ewha Womans University, Seoul, South Korea
| | - Alena Khromava
- Epidemiology and Benefit Risk, Sanofi Pasteur Ltd., Toronto, Ontario, Canada
| | | | - Kui Huang
- Global Medical Epidemiology, Worldwide Medical and Safety, Pfizer Inc., New York, New York, United States of America
| | | | - Sonali Kochhar
- Global Healthcare Consulting, New Delhi, India.,Department of Global Health, University of Washington, Seattle, Washington, USA
| | - Robert T Chen
- Brighton Collaboration, The Task Force for Global Health, Decatur, Georgia, USA
| | - Nicole L Pratt
- Quality Use of Medicines and Pharmacy Research Centre, Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, Australia
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Yoon D, Lee JH, Lee H, Shin JY. Association between human papillomavirus vaccination and serious adverse events in South Korean adolescent girls: nationwide cohort study. BMJ 2021; 372:m4931. [PMID: 33514507 PMCID: PMC8030229 DOI: 10.1136/bmj.m4931] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVE To evaluate the association between human papillomavirus (HPV) vaccination and serious adverse events in adolescent girls in South Korea. DESIGN Cohort study. SETTING A large linked database created by linking the Korea Immunization Registry Information System and the National Health Information Database, between January 2017 and December 2019. PARTICIPANTS 441 399 girls aged 11-14 years who had been vaccinated in 2017: 382 020 had been vaccinated against HPV and 59 379 had not been vaccinated against HPV. MAIN OUTCOME MEASURES Outcomes were 33 serious adverse events, including endocrine, gastrointestinal, cardiovascular, musculoskeletal, haematological, dermatological, and neurological diseases. A cohort design was used for the primary analysis and a self-controlled risk interval design for the secondary analysis; both analyses used a risk period of one year after HPV vaccination for each outcome. Incidence rate and adjusted rate ratios were estimated using Poisson regression in the primary analysis, comparing the HPV vaccinated group with the HPV unvaccinated group, and adjusted relative risks were estimated using conditional logistic regression in the secondary analysis. RESULTS Among the 33 predefined serious adverse events, no associations were found with HPV vaccination in the cohort analysis, including Hashimoto's thyroiditis (incidence rate per 100 000 person years: 52.7 v 36.3 for the vaccinated and unvaccinated groups; adjusted rate ratio 1.24, 95% confidence interval 0.78 to 1.94) and rheumatoid arthritis (incidence rate per 100 000 person years: 168.1 v 145.4 for the vaccinated and unvaccinated groups; 0.99, 0.79 to 1.25), with the exception of an increased risk observed for migraine (incidence rate per 100 000 person years: 1235.0 v 920.9 for the vaccinated and unvaccinated groups; 1.11, 1.02 to 1.22). Secondary analysis using self-controlled risk intervals confirmed no associations between HPV vaccination and serious adverse events, including migraine (adjusted relative risk 0.67, 95% confidence interval 0.58 to 0.78). Results were robust to varying follow-up periods and for vaccine subtypes. CONCLUSIONS In this nationwide cohort study, with more than 500 000 doses of HPV vaccines, no evidence was found to support an association between HPV vaccination and serious adverse events using both cohort analysis and self-controlled risk interval analysis. Inconsistent findings for migraine should be interpreted with caution considering its pathophysiology and the population of interest.
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Affiliation(s)
- Dongwon Yoon
- School of Pharmacy, Sungkyunkwan University, 2066, Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do, South Korea
| | - Ji-Ho Lee
- School of Pharmacy, Sungkyunkwan University, 2066, Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do, South Korea
- Chung-Ang University Hospital, 06973, 102 Heukseok-ro, Dongjak-gu, Seoul, South Korea
| | - Hyesung Lee
- School of Pharmacy, Sungkyunkwan University, 2066, Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do, South Korea
| | - Ju-Young Shin
- School of Pharmacy, Sungkyunkwan University, 2066, Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do, South Korea
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea
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Drobni ZD, Alvi RM, Taron J, Zafar A, Murphy SP, Rambarat PK, Mosarla RC, Lee C, Zlotoff DA, Raghu VK, Hartmann SE, Gilman HK, Gong J, Zubiri L, Sullivan RJ, Reynolds KL, Mayrhofer T, Zhang L, Hoffmann U, Neilan TG. Association Between Immune Checkpoint Inhibitors With Cardiovascular Events and Atherosclerotic Plaque. Circulation 2020; 142:2299-2311. [PMID: 33003973 PMCID: PMC7736526 DOI: 10.1161/circulationaha.120.049981] [Citation(s) in RCA: 288] [Impact Index Per Article: 72.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Immune checkpoint inhibitors (ICIs) treat an expanding range of cancers. Consistent basic data suggest that these same checkpoints are critical negative regulators of atherosclerosis. Therefore, our objectives were to test whether ICIs were associated with accelerated atherosclerosis and a higher risk of atherosclerosis-related cardiovascular events. METHODS The study was situated in a single academic medical center. The primary analysis evaluated whether exposure to an ICI was associated with atherosclerotic cardiovascular events in 2842 patients and 2842 controls matched by age, a history of cardiovascular events, and cancer type. In a second design, a case-crossover analysis was performed with an at-risk period defined as the 2-year period after and the control period as the 2-year period before treatment. The primary outcome was a composite of atherosclerotic cardiovascular events (myocardial infarction, coronary revascularization, and ischemic stroke). Secondary outcomes included the individual components of the primary outcome. In addition, in an imaging substudy (n=40), the rate of atherosclerotic plaque progression was compared from before to after the ICI was started. All study measures and outcomes were blindly adjudicated. RESULTS In the matched cohort study, there was a 3-fold higher risk for cardiovascular events after starting an ICI (hazard ratio, 3.3 [95% CI, 2.0-5.5]; P<0.001). There was a similar increase in each of the individual components of the primary outcome. In the case-crossover, there was also an increase in cardiovascular events from 1.37 to 6.55 per 100 person-years at 2 years (adjusted hazard ratio, 4.8 [95% CI, 3.5-6.5]; P<0.001). In the imaging study, the rate of progression of total aortic plaque volume was >3-fold higher with ICIs (from 2.1%/y before 6.7%/y after). This association between ICI use and increased atherosclerotic plaque progression was attenuated with concomitant use of statins or corticosteroids. CONCLUSIONS Cardiovascular events were higher after initiation of ICIs, potentially mediated by accelerated progression of atherosclerosis. Optimization of cardiovascular risk factors and increased awareness of cardiovascular risk before, during, and after treatment should be considered among patients on an ICI.
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Affiliation(s)
- Zsofia D. Drobni
- Cardiovascular Imaging Research Center (CIRC), Department of Radiology and Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Raza M. Alvi
- Cardiovascular Imaging Research Center (CIRC), Department of Radiology and Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jana Taron
- Cardiovascular Imaging Research Center (CIRC), Department of Radiology and Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Amna Zafar
- Cardiovascular Imaging Research Center (CIRC), Department of Radiology and Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Sean P. Murphy
- Division of Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Paula K. Rambarat
- Division of Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Rayma C. Mosarla
- Division of Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Charlotte Lee
- Division of Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Daniel A. Zlotoff
- Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Vineet K. Raghu
- Cardiovascular Imaging Research Center (CIRC), Department of Radiology and Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Sarah E. Hartmann
- Cardiovascular Imaging Research Center (CIRC), Department of Radiology and Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Hannah K. Gilman
- Cardiovascular Imaging Research Center (CIRC), Department of Radiology and Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jingyi Gong
- Cardiovascular Imaging Research Center (CIRC), Department of Radiology and Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Leyre Zubiri
- Division of Oncology and Hematology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ryan J. Sullivan
- Division of Oncology and Hematology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Kerry L. Reynolds
- Division of Oncology and Hematology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Thomas Mayrhofer
- Cardiovascular Imaging Research Center (CIRC), Department of Radiology and Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Lili Zhang
- Cardio-Oncology Program, Division of Cardiology, Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Udo Hoffmann
- Cardiovascular Imaging Research Center (CIRC), Department of Radiology and Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Tomas G. Neilan
- Cardiovascular Imaging Research Center (CIRC), Department of Radiology and Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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Hesse EM, Navarro RA, Daley MF, Getahun D, Henninger ML, Jackson LA, Nordin J, Olson SC, Zerbo O, Zheng C, Duffy J. Risk for Subdeltoid Bursitis After Influenza Vaccination: A Population-Based Cohort Study. Ann Intern Med 2020; 173:253-261. [PMID: 32568572 DOI: 10.7326/m19-3176] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Subdeltoid bursitis has been reported as an adverse event after intramuscular vaccination in the deltoid muscle. Most published case reports involved influenza vaccine. OBJECTIVE To estimate the risk for subdeltoid bursitis after influenza vaccination. DESIGN Retrospective cohort study. SETTING The Vaccine Safety Datalink, which contains health encounter data for 10.2 million members of 7 U.S. health care organizations. PATIENTS Persons who received an inactivated influenza vaccine during the 2016-2017 influenza season. MEASUREMENTS Potential incident cases were identified by searching administrative data for persons with a shoulder bursitis diagnostic code within 180 days after receiving an injectable influenza vaccine in the same arm. The date of reported bursitis symptom onset was abstracted from the medical record. A self-controlled risk interval analysis was used to calculate the incidence rate ratio of bursitis in a risk interval of 0 to 2 days after vaccination versus a control interval of 30 to 60 days, which represents the background rate. The attributable risk was also estimated. RESULTS The cohort included 2 943 493 vaccinated persons. Sixteen cases of symptom onset in the risk interval and 51 cases of symptom onset in the control interval were identified. The median age of persons in the risk interval was 57.5 years (range, 24 to 98 years), and 69% were women. The incidence rate ratio was 3.24 (95% CI, 1.85 to 5.68). The attributable risk was 7.78 (CI, 2.19 to 13.38) additional cases of bursitis per 1 million persons vaccinated. LIMITATION The results may not be generalizable to vaccinations done in other types of health care settings. CONCLUSION Although an increased risk for bursitis after vaccination was present, the absolute risk was small. PRIMARY FUNDING SOURCE Centers for Disease Control and Prevention.
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Affiliation(s)
- Elisabeth M Hesse
- Epidemic Intelligence Service and Immunization Safety Office, Centers for Disease Control and Prevention, Atlanta, Georgia (E.M.H., J.D.)
| | - Ronald A Navarro
- Kaiser Permanente South Bay Medical Center, Harbor City, California (R.A.N.)
| | - Matthew F Daley
- Institute for Health Research, Kaiser Permanente Colorado, Denver, Colorado (M.F.D.)
| | | | | | - Lisa A Jackson
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington (L.A.J.)
| | - James Nordin
- HealthPartners Institute for Education and Research, Minneapolis, Minnesota (J.N.)
| | - Scott C Olson
- Marshfield Clinic Research Institute, Center for Clinical Epidemiology and Population Health, Marshfield, Wisconsin (S.C.O.)
| | - Ousseny Zerbo
- Kaiser Permanente Vaccine Study Center, Oakland, California (O.Z.)
| | - Chengyi Zheng
- Kaiser Permanente, Pasadena, California (D.G., C.Z.)
| | - Jonathan Duffy
- Epidemic Intelligence Service and Immunization Safety Office, Centers for Disease Control and Prevention, Atlanta, Georgia (E.M.H., J.D.)
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Huang WT, Juan YC, Liu CH, Yang YY, Chan KA. Intussusception and Kawasaki disease after rotavirus vaccination in Taiwanese infants. Vaccine 2020; 38:6299-6303. [PMID: 32736940 DOI: 10.1016/j.vaccine.2020.07.038] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 07/16/2020] [Accepted: 07/18/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND Since 2006, two rotavirus vaccines have been licensed in Taiwan, either as a 2- (RV1) or 3-dose (RV5) schedule administered at ages 2, 4, and 6 months. This study assessed the risk of intussusception and Kawasaki disease (KD) associated with rotavirus vaccines among infants. METHODS Cases of intussusception and KD in infants aged less than 365 days were identified from the National Health Insurance databases, from 1 January 2007 through 31 December 2014, using the first-ever ICD-9-CM diagnosis codes. Histories of rotavirus vaccination were obtained from the National Immunization Information System. The modified self-controlled case series design included vaccinated cases, and compared incidence rate ratios (IRRs) between the risk period (postvaccination days 1-21 [intussusception] or days 1-28 [KD]) and control period (ages 0-364 days outside the -14 to +21 [intussusception] or +28 [KD] days of vaccination) by each type and dose of vaccine. Conditional Poisson regression models were adjusted for age using age-in-week (7-day) categorization. RESULTS Overall 2064 intussusception cases and 2079 KD cases were diagnosed in 567,726 recipients (5313 [0.9%] received both RV5 and RV1). An increase in intussusception risk was observed in the 1-7 days (IRR 12.59, 95% confidence interval [CI] 8.07-19.66) and 8-21 days (IRR 1.78, 95% CI 1.00-3.16) post dose 1 of RV1, but not RV5. Risk of KD was higher during the third week post dose 2 of RV5 (IRR 2.33, 95% CI 1.35-4.00), and fourth week post dose 1 of RV1 (IRR 1.98, 95% CI 1.16-3.40). CONCLUSION Our finding of an increased risk of intussusception associated with RV1 in the first week after dose 1 is consistent with results of previous postlicensure studies. Further research should verify a potentially delayed risk of KD after rotavirus vaccination.
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Affiliation(s)
| | - Yi-Chen Juan
- Health Data Research Center, National Taiwan University, Taipei, Taiwan
| | - Chia-Hung Liu
- Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan; Department of Family Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Family Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Yen-Yun Yang
- Health Data Research Center, National Taiwan University, Taipei, Taiwan
| | - K Arnold Chan
- Health Data Research Center, National Taiwan University, Taipei, Taiwan
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Totterdell J, Phillips A, Glover C, Chidwick K, Marsh J, Snelling T, Macartney K. Safety of live attenuated herpes zoster vaccine in adults 70-79 years: A self-controlled case series analysis using primary care data from Australia's MedicineInsight program. Vaccine 2020; 38:3968-3979. [PMID: 32284271 DOI: 10.1016/j.vaccine.2020.03.054] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2020] [Revised: 03/27/2020] [Accepted: 03/29/2020] [Indexed: 11/28/2022]
Abstract
BACKGROUND Australia introduced a funded shingles vaccination program for older adults in November 2016, administered predominantly in primary care clinics. MedicineInsight, a nationally representative primary care database, was used to investigate the risk of pre-specified outcomes following live attenuated herpes zoster vaccine (ZVL) in Australia. METHODS Individuals aged 70-79 years who received ZVL between 1 November 2016 and 31 July 2018 were identified from MedicineInsight. The self-controlled case series (SCCS) method was used to estimate the seasonally-adjusted relative incidence (RI) of seven pre-specified outcome events (injection site reaction (ISR) [positive control], burn [negative control], myocardial infarction (MI), stroke, rash, rash with an antiviral prescription, and clinical attendance) during a plausible post-vaccination at-risk window compared with times distant from vaccination. Sensitivity analyses examined the effect of common concomitant vaccinations and restriction to first outcome events. RESULTS A total of 332,988 vaccination encounters among 150,054 individuals were identified during the study period; over 2 million clinical attendances were observed. There was an increased RI of ISR in the seven days following ZVL (RI = 77.4, 95% CI 48.1-124.6); the RI of clinical attendance (RI = 0.94, 95% CI 0.94-0.95) and stroke (RI = 0.58, 95% CI 0.44-0.78) were lower in the 42 days following administration of ZVL compared to control periods. There was no evidence of a change in the RI of MI (RI = 0.74, 95% CI 0.41-1.33), rash (RI = 0.97, 95% CI 0.88-1.08), or rash with antiviral prescription (RI = 0.83, 95% CI 0.62-1.10) in the 42 days following ZVL compared to control periods. CONCLUSION No new safety concerns were identified for ZVL in this study based on a novel, Australian primary care data source. An expected increased risk of ISR was identified; findings in relation to cardiovascular disease were reassuring but require confirmation using additional data, including hospital records.
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Affiliation(s)
- James Totterdell
- Wesfarmers Centre of Vaccines & Infectious Diseases, Telethon Kids Institute, 15 Hospital Ave, Nedlands, Western Australia 6009, Australia
| | - Anastasia Phillips
- Wesfarmers Centre of Vaccines & Infectious Diseases, Telethon Kids Institute, 15 Hospital Ave, Nedlands, Western Australia 6009, Australia; The University of Sydney, School of Public Health, Sydney, New South Wales 2006, Australia; National Centre for Immunisation Research and Surveillance, Cnr Hawkesbury Rd & Hainsworth St, Westmead, New South Wales 2145, Australia.
| | - Catherine Glover
- National Centre for Immunisation Research and Surveillance, Cnr Hawkesbury Rd & Hainsworth St, Westmead, New South Wales 2145, Australia
| | - Kendal Chidwick
- NPS MedicineWise, Level 7 / 418a Elizabeth St Surry Hills, New South Wales 2010, Australia
| | - Julie Marsh
- Wesfarmers Centre of Vaccines & Infectious Diseases, Telethon Kids Institute, 15 Hospital Ave, Nedlands, Western Australia 6009, Australia
| | - Tom Snelling
- Wesfarmers Centre of Vaccines & Infectious Diseases, Telethon Kids Institute, 15 Hospital Ave, Nedlands, Western Australia 6009, Australia; Perth Children's Hospital, 15 Hospital Ave, Nedlands, Western Australia 6009, Australia; Curtin University, School of Public Health, Bentley, Western Australia 6102, Australia; Menzies School of Health Research and Charles Darwin University, Darwin, Northern Territory, Australia
| | - Kristine Macartney
- National Centre for Immunisation Research and Surveillance, Cnr Hawkesbury Rd & Hainsworth St, Westmead, New South Wales 2145, Australia; The University of Sydney, Faculty of Medicine and Health, Sydney, New South Wales 2006, Australia
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Liu CH, Yeh YC, Huang WT, Chie WC, Chan KA. Assessment of pre-specified adverse events following varicella vaccine: A population-based self-controlled risk interval study. Vaccine 2020; 38:2495-2502. [PMID: 32046891 DOI: 10.1016/j.vaccine.2020.01.090] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2019] [Revised: 12/20/2019] [Accepted: 01/30/2020] [Indexed: 10/25/2022]
Abstract
BACKGROUND Clinical trials and spontaneous reporting systems have revealed rare but biologically plausible adverse events following varicella immunization. Few post-marketing controlled studies have been conducted to assess the relationship between the varicella vaccine and these outcomes. OBJECTIVES To evaluate the risk of pneumonia, idiopathic thrombocytopenic purpura (ITP), meningitis, encephalitis and ischemic stroke following varicella immunization. MATERIALS AND METHODS This nationwide observational study was based on Taiwan National Health Insurance data and National Immunization Information System from 2004 through 2014. Primary analysis included children aged 12-35 months who received the single varicella vaccine on the date of administration. The self-controlled risk interval design compared the incidence of pre-specified outcomes during a risk interval of 1-42 days post-vaccination and a control interval of 43-84 days. The outcomes of interest were defined as admitted pneumonia, ITP, meningitis, encephalitis, and ischemic stroke, as well as fracture as a negative control. Conditional Poisson regression was used to assess the incidence rate ratio (aIRR) with adjustments for age and seasonal effects. RESULTS Among 1,194,189 children, who receiving the varicella vaccine, there was no observed increase in the risk for ITP (aIRR 1.00; 95% CI, 0.76-1.33), meningitis (aIRR 1.21; 95% CI, 0.49-2.95), encephalitis (aIRR 1.00; 95% CI, 0.62-1.60), or ischemic stroke (aIRR 1.24; 95% CI, 0.31-4.95). A clustering feature with pneumonia occurred during days 36-42 post-vaccination (aIRR 1.10; 95% CI, 1.02-1.18). An increase in the risk for ITP was observed in children receiving the varicella and MMR vaccines concomitantly (aIRR 1.70; 95% CI, 1.19-2.43), but not among those receiving the varicella vaccine only. CONCLUSIONS We detected a small risk of incidental pneumonia associated with varicella vaccine in the 6th week after immunization. There was no increase in the risk of other pre-specified adverse events.
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Affiliation(s)
- Chia-Hung Liu
- Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan; Department of Family Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan; Department of Family Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Yi-Chun Yeh
- Department of Medical Research, National Taiwan University Hospital, Taipei, Taiwan
| | - Wan-Ting Huang
- Taiwan Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan.
| | - Wei-Chu Chie
- Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - K Arnold Chan
- Health Data Research Center, National Taiwan University, Taipei, Taiwan
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Forshee RA, Hu M, Arya D, Perez-Vilar S, Anderson SA, Lo AC, Swarr M, Wernecke M, MaCurdy T, Chu S, Kelman J. A simulation study of the statistical power and signaling characteristics of an early season sequential test for influenza vaccine safety. Pharmacoepidemiol Drug Saf 2019; 28:1077-1085. [PMID: 31222967 DOI: 10.1002/pds.4807] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Revised: 04/19/2019] [Accepted: 04/24/2019] [Indexed: 01/09/2023]
Abstract
PURPOSE The US Food and Drug Administration monitors the risk of Guillain-Barré syndrome (GBS) following influenza vaccination using several data sources including Medicare. In the 2017 to 2018 season, we transitioned our near real-time surveillance in Medicare to more effectively detect large GBS risk increases early in the season while avoiding false positives. METHODS We conducted a simulation study examining the ability of the updating sequential probability ratio test (USPRT) to detect substantially elevated GBS risk in the 8- to 21-day postvaccination versus 5× to 30× the historical rate. We varied the first testing week (weeks 5-8) and the null rate (1×-3×) and evaluated power. We estimated signal probability and the risk ratio (RR) after signaling when high-risk seasons were rare. RESULTS Applying fixed alternatives, we found >80% power to detect a risk 30× the historical rate in week 5 for the 1× null and in week 6 for the 1.5× to 3× nulls. Nearly all testing schedules had >80% power for a 5× risk by week 11. To test the robustness of USPRT, we further simulated seasons where 1% were true high-risk seasons. Using a 1× null led to 10% of seasons signaling by week 11 (median RR approximately 1.4), which decreased to approximately 1% with the ≥2.5× null (median RR approximately 16.0). CONCLUSIONS On the basis of the results from this simulation and subsequent consultations with experts and stakeholders, we specified USPRT to test continuously from weeks 7 to 11 using the null hypothesis that the observed GBS rate was 2.5× the historical rate. This helped improve the ability of USPRT to provide early detection of GBS risk following influenza vaccination as part of a multilayered system of surveillance.
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Affiliation(s)
- Richard A Forshee
- Office of Biostatistics and Epidemiology, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Mao Hu
- Acumen LLC, Burlingame, California, USA
| | - Deepa Arya
- Office of Biostatistics and Epidemiology, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Silvia Perez-Vilar
- Office of Biostatistics and Epidemiology, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Steven A Anderson
- Office of Biostatistics and Epidemiology, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - An-Chi Lo
- Acumen LLC, Burlingame, California, USA
| | | | | | - Tom MaCurdy
- Acumen LLC, Burlingame, California, USA.,Department of Economics, Stanford University, Stanford, California, USA
| | - Steve Chu
- Center for Medicare, Centers for Medicare and Medicaid Services, Baltimore, Maryland, USA
| | - Jeffrey Kelman
- Center for Medicare, Centers for Medicare and Medicaid Services, Baltimore, Maryland, USA
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Schneeweiss S, Rassen JA, Brown JS, Rothman KJ, Happe L, Arlett P, Dal Pan G, Goettsch W, Murk W, Wang SV. Graphical Depiction of Longitudinal Study Designs in Health Care Databases. Ann Intern Med 2019; 170:398-406. [PMID: 30856654 DOI: 10.7326/m18-3079] [Citation(s) in RCA: 136] [Impact Index Per Article: 27.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Pharmacoepidemiologic and pharmacoeconomic analysis of health care databases has become a vital source of evidence to support health care decision making and efficient management of health care organizations. However, decision makers often consider studies done in nonrandomized health care databases more difficult to review than randomized trials because many design choices need to be considered. This is perceived as an important barrier to decision making about the effectiveness and safety of medical products. Design flaws in longitudinal database studies are avoidable but can be unintentionally obscured in the convoluted prose of methods sections, which often lack specificity. We propose a simple framework of graphical representation that visualizes study design implementations in a comprehensive, unambiguous, and intuitive way; contains a level of detail that enables reproduction of key study design variables; and uses standardized structure and terminology to simplify review and communication to a broad audience of decision makers. Visualization of design details will make database studies more reproducible, quicker to review, and easier to communicate to a broad audience of decision makers.
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Affiliation(s)
- Sebastian Schneeweiss
- Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts (S.S., S.V.W.)
| | | | - Jeffrey S Brown
- Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts (J.S.B.)
| | | | - Laura Happe
- Journal of Managed Care and Specialty Pharmacy, Alexandria, Virginia (L.H.)
| | - Peter Arlett
- European Medicines Agency, London, United Kingdom (P.A.)
| | - Gerald Dal Pan
- U.S. Food and Drug Administration, Silver Spring, Maryland (G.D.)
| | - Wim Goettsch
- The National Health Care Institute, Diemen, and Utrecht University, Utrecht, the Netherlands (W.G.)
| | | | - Shirley V Wang
- Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts (S.S., S.V.W.)
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McClure DL, Jacobsen SJ, Klein NP, Naleway AL, Kharbanda EO, Glanz JM, Jackson LA, Weintraub ES, McLean HQ. Similar relative risks of seizures following measles containing vaccination in children born preterm compared to full-term without previous seizures or seizure-related disorders. Vaccine 2019; 37:76-79. [PMID: 30478005 PMCID: PMC6530777 DOI: 10.1016/j.vaccine.2018.11.038] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 11/12/2018] [Accepted: 11/13/2018] [Indexed: 10/27/2022]
Abstract
BACKGROUND Febrile seizures are associated with the first dose of measles-containing vaccines and the risk increases with chronologic age during the second year of life. We used the Vaccine Safety Datalink (VSD) to determine if the relative increase in risk of seizures following receipt of measles-containing vaccine differs by gestational age at birth. METHODS Children were eligible if they received their first dose of measles-containing vaccine at age 12 through 23 months from January 2003 through September 2015. Children were excluded if they had a history of seizure or conditions strongly related to seizure prior to 12 months of age. Seizures were identified by diagnostic codes in the inpatient or emergency department settings. Using risk-interval analysis, we estimated the incidence rate ratio (IRR) for seizures in the 7 through 10 days (risk period) vs 15 through 42 days (control period) following receipt of measles-containing vaccines in children born preterm (<37 weeks gestation age) and those born full-term (≥37 weeks). RESULTS There were 532,375 children (45,343 preterm and 487,032 full-term) who received their first dose of measles-containing vaccine at age 12 through 23 months. The IRRs of febrile seizures 7 through 10 days compared with 15 through 42 days after receipt of measles-containing vaccine were 3.9 (95% CI: 2.5-6.0) in preterm children and 3.2 (2.7-3.7) in full-term children; the ratio of IRRs: was 1.2 (0.76-1.9), p = 0.41. IRRs were also similar across gestational age groups, by vaccine type received (measles-mumps-rubella [MMR] or measles-mumps-rubella-varicella [MMRV]) and age at vaccination (12-15 or 16-23 months). CONCLUSION Vaccination with a measles-containing vaccine in the second year of life is associated with a similar relative risk of a first seizure in children born preterm as in those who were born full-term.
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Affiliation(s)
- David L McClure
- Center for Clinical Epidemiology and Population Health, Marshfield Clinic Research Institute, Marshfield, WI, USA.
| | - Steven J Jacobsen
- Kaiser Permanente Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Nicola P Klein
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Allison L Naleway
- Kaiser Permanente Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA
| | | | - Jason M Glanz
- Kaiser Permanente Institute for Health Research, Kaiser Permanente Colorado, Denver, CO, USA
| | - Lisa A Jackson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Eric S Weintraub
- Centers for Disease Control and Prevention, Immunization Safety Office, Atlanta, GA 30333, USA
| | - Huong Q McLean
- Center for Clinical Epidemiology and Population Health, Marshfield Clinic Research Institute, Marshfield, WI, USA
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Wachira VK, Peixoto HM, de Oliveira MRF. Systematic review of factors associated with the development of Guillain-Barré syndrome 2007-2017: what has changed? Trop Med Int Health 2018; 24:132-142. [PMID: 30444562 DOI: 10.1111/tmi.13181] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE The objective of this study was to describe the factors associated with the development of Guillain-Barré syndrome, both infectious and non-infectious, during and after the A(H1N1) influenza pandemic in 2009 and the recent Zika virus epidemic in the Americas. METHOD Systematic review of literature on factors associated with the development of the Guillain-Barré syndrome published between 2007 and 2017 listed in EBSCO, MEDLINE and LILACS databases. The quality of the studies was evaluated using the Newcastle Ottawa Scale. RESULTS Thirty-four articles met inclusion criteria and were selected for analysis. Their quality was considered good in relation to most of the items evaluated. Many aetiological agents had the results of association with Guillain-Barré syndrome, among them Campylobacter jejuni, influenza vaccine - both pandemic and seasonal vaccines, respiratory infection, gastrointestinal infection among others. The aetiological agents found are, in most part, the same reported prior to the study period. The association with surgeries, chikungunya virus (CHIKV), Zika virus and quadrivalent human papillomavirus vaccine stand out as new aetiological agents in the list of the various possible agents that trigger Guillain-Barré syndrome reported in the study period. There were no Brazilian studies identified during this period. CONCLUSIONS The results of the review reaffirmed C. jejuni as the major trigger of GBS, whereas the association of influenza vaccines and GBS is less clear; Zika virus infection in association with GBS was found in only one study.
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Affiliation(s)
| | - Henry Maia Peixoto
- Centre for Tropical Medicine, University of Brasília, Brasília, Federal District, Brazil.,National Institute for Science and Technology for Health Technology Assessment, Porto Alegre, Brazil
| | - Maria Regina Fernandes de Oliveira
- Centre for Tropical Medicine, University of Brasília, Brasília, Federal District, Brazil.,National Institute for Science and Technology for Health Technology Assessment, Porto Alegre, Brazil
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Whitaker HJ, Steer CD, Farrington CP. Self-controlled case series studies: Just how rare does a rare non-recurrent outcome need to be? Biom J 2018; 60:1110-1120. [PMID: 30284323 DOI: 10.1002/bimj.201800019] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 06/29/2018] [Accepted: 08/07/2018] [Indexed: 11/11/2022]
Abstract
The self-controlled case series method assumes that adverse outcomes arise according to a non-homogeneous Poisson process. This implies that it is applicable to independent recurrent outcomes. However, the self-controlled case series method may also be applied to unique, non-recurrent outcomes or first outcomes only, in the limit where these become rare. We investigate this rare outcome assumption when the self-controlled case series method is applied to non-recurrent outcomes. We study this requirement analytically and by simulation, and quantify what is meant by 'rare' in this context. In simulations we also apply the self-controlled risk interval design, a special case of the self-controlled case series design. To illustrate, we extract data on the incidence rate of some recurrent and non-recurrent outcomes within a defined study population to check whether outcomes are sufficiently rare for the rare outcome assumption to hold when applying the self-controlled case series method to first or unique outcomes. The main findings are that the relative bias should be no more than 5% when the cumulative incidence over total time observed is less than 0.1 per individual. Inclusion of age (or calendar time) effects will further reduce bias. Designs that begin observation with exposure maximise bias, whereas little or no bias will be apparent when there is no time trend in the distribution of exposures, or when exposure is central within time observed.
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Affiliation(s)
- Heather J Whitaker
- School of Mathematics and Statistics, The Open University, Walton Hall, Milton Keynes, UK.,Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Colin D Steer
- Public Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - C Paddy Farrington
- School of Mathematics and Statistics, The Open University, Walton Hall, Milton Keynes, UK
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Ohfuji S, Deguchi M, Tachibana D, Koyama M, Takagi T, Yoshioka T, Urae A, Fukushima W, Hirota Y. Estimating influenza disease burden among pregnant women: Application of self-control method. Vaccine 2018; 35:4811-4816. [PMID: 28818474 DOI: 10.1016/j.vaccine.2017.07.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2016] [Revised: 09/02/2016] [Accepted: 10/04/2016] [Indexed: 01/13/2023]
Abstract
To evaluate influenza disease burden among pregnant women, an epidemiological study using the self-control method was conducted. Study subjects were 12,838 pregnant women who visited collaborating maternity hospitals and clinics in Osaka Prefecture, Japan, before the 2013/14 influenza season. As a study outcome, hospitalization due to respiratory illnesses between the 2010/11 and 2013/14 seasons was collected from each study subject through a baseline survey at the time of recruitment and a second survey after the 2013/14 season. The hospitalization rates during pregnancy and non-pregnancy periods was calculated separately. To compare the hospitalization rate during pregnancy with that during non-pregnancy within the same single study subject, Mantel-Haenzel rate ratios (RRMH) were calculated. During the four seasons examined in this study, nine and 17 subjects were hospitalized due to respiratory illnesses during pregnancy and non-pregnancy periods, respectively. The hospitalization rate was 2.54 per 10,000 woman-months during pregnancy and 1.08 per 10,000 woman-months during non-pregnancy. The RRMH for the hospitalization rate during pregnancy compared with that during non-pregnancy was 4.30 (95% confidence interval, 1.96-9.41). Our results suggest that during the influenza season, pregnant women have a higher risk than non-pregnant women for hospitalization due to respiratory illnesses. The self-control method appears to be an appropriate epidemiological method for evaluating the disease burden of influenza among pregnant women.
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Affiliation(s)
- Satoko Ohfuji
- Department of Public Health, Osaka City University Graduate School of Medicine, 1-4-3, Asahi-machi, Abeno-ku, Osaka-city, Osaka 545-8585, Japan.
| | - Masaaki Deguchi
- Department of Obstetrics and Gynecology, Kishiwada City Hospital, 1001, Gakuhara-cho, Kishiwada-city, Osaka 596-8501, Japan
| | - Daisuke Tachibana
- Department of Obstetrics and Gynecology, Osaka City University Graduate School of Medicine, 1-4-3, Asahi-machi, Abeno-ku, Osaka-city, Osaka 545-8585, Japan
| | - Masayasu Koyama
- Department of Obstetrics and Gynecology, Osaka City University Graduate School of Medicine, 1-4-3, Asahi-machi, Abeno-ku, Osaka-city, Osaka 545-8585, Japan
| | - Tetsu Takagi
- Takagi Ladies Clinic, 1-13-44, Kamihigashi, Hirano-ku, Osaka-city, Osaka 547-0002, Japan
| | - Takayuki Yoshioka
- Osaka Branch, Mediscience Planning Inc., 3-6-1, Hiranomachi, Chuo-ku, Osaka-city, Osaka 541-0052, Japan
| | - Akinori Urae
- Head Office, Mediscience Planning Inc., 1-11-44, Akasaka, Minato-ku, Tokyo 107-0052, Japan
| | - Wakaba Fukushima
- Department of Public Health, Osaka City University Graduate School of Medicine, 1-4-3, Asahi-machi, Abeno-ku, Osaka-city, Osaka 545-8585, Japan
| | - Yoshio Hirota
- Department of Public Health, Osaka City University Graduate School of Medicine, 1-4-3, Asahi-machi, Abeno-ku, Osaka-city, Osaka 545-8585, Japan; College of Healthcare Management, 960-4, Takayanagi, Setaka-machi, Miyama-shi, Fukuoka 835-0018, Japan; Clinical Epidemiology Research Center, Medical Co. LTA, 3-5-1, Kashii-Teriha, Higashi-ku, Fukuoka 813-0017, Japan
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Gershon AS, Campitelli MA, Hawken S, Victor C, Sproule BA, Kurdyak P, Selby P. Cardiovascular and Neuropsychiatric Events after Varenicline Use for Smoking Cessation. Am J Respir Crit Care Med 2018; 197:913-922. [DOI: 10.1164/rccm.201706-1204oc] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Andrea S. Gershon
- Department of Medicine and Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
- Department of Medicine
- Hospital for Sick Children, Toronto, Ontario, Canada
- Centre for Addiction and Mental Health, Toronto, Ontario, Canada; and
| | | | - Steven Hawken
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
- Institute for Clinical Evaluative Sciences, Ottawa, Ontario, Canada
| | - Charles Victor
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
- Hospital for Sick Children, Toronto, Ontario, Canada
| | - Beth A. Sproule
- Leslie Dan Faculty of Pharmacy
- Department of Psychiatry
- Centre for Addiction and Mental Health, Toronto, Ontario, Canada; and
| | - Paul Kurdyak
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
- Department of Psychiatry
- Centre for Addiction and Mental Health, Toronto, Ontario, Canada; and
| | - Peter Selby
- Department of Psychiatry
- Department of Family and Community Medicine
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Centre for Addiction and Mental Health, Toronto, Ontario, Canada; and
- Ontario Tobacco Research Unit, Toronto, Ontario, Canada
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Connolly JG, Wang SV, Fuller CC, Toh S, Panozzo CA, Cocoros N, Zhou M, Gagne JJ, Maro JC. Development and application of two semi-automated tools for targeted medical product surveillance in a distributed data network. CURR EPIDEMIOL REP 2017; 4:298-306. [PMID: 29204333 PMCID: PMC5710750 DOI: 10.1007/s40471-017-0121-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
PURPOSE OF REVIEW An important component of the Food and Drug Administration's Sentinel Initiative is the active post-market risk identification and analysis (ARIA) system, which utilizes semi-automated, parameterized computer programs to implement propensity-score adjusted and self-controlled risk interval designs to conduct targeted surveillance of medical products in the Sentinel Distributed Database. In this manuscript, we review literature relevant to the development of these programs and describe their application within the Sentinel Initiative. RECENT FINDINGS These quality-checked and publicly available tools have been successfully used to conduct rapid, replicable, and targeted safety analyses of several medical products. In addition to speed and reproducibility, use of semi-automated tools allows investigators to focus on decisions regarding key methodological parameters. We also identified challenges associated with the use of these methods in distributed and prospective datasets like the Sentinel Distributed Database, namely uncertainty regarding the optimal approach to estimating propensity scores in dynamic data among data partners of heterogeneous size. SUMMARY Future research should focus on the methodological challenges raised by these applications as well as developing new modular programs for targeted surveillance of medical products.
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Affiliation(s)
- John G. Connolly
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School Boston, MA
| | - Shirley V. Wang
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School Boston, MA
| | - Candace C. Fuller
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA
| | - Sengwee Toh
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA
| | - Catherine A. Panozzo
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA
| | - Noelle Cocoros
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA
| | - Meijia Zhou
- Center for Clinical Epidemiology and Biostatistics, Pereleman School of Medicine at the University of Pennsylvania, Philadelphia, PA
- Center for Pharmacoepidemiology Research and Training, University of Pennsylvania Pereleman School of Medicine, Philadelphia, PA
| | - Joshua J. Gagne
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School Boston, MA
| | - Judith C. Maro
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA
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Duffy J, Hambidge SJ, Jackson LA, Kharbanda EO, Klein NP, Naleway A, Omer SB, Weintraub E. Febrile Seizure Risk after Vaccination in Children One to Five Months of Age. Pediatr Neurol 2017; 76:72-78. [PMID: 28958404 PMCID: PMC6636632 DOI: 10.1016/j.pediatrneurol.2017.08.005] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Revised: 08/09/2017] [Accepted: 08/11/2017] [Indexed: 10/19/2022]
Abstract
BACKGROUND The risk of febrile seizure is temporarily increased for a few days after the administration of certain vaccines in children aged six to 23 months. Our objective was to determine the febrile seizure risk following vaccination in children aged one to five months, when six different vaccines are typically administered. METHODS We identified emergency department visits and inpatient admissions with International Classification of Diseases, Ninth Revision, febrile seizure codes among children enrolled in nine Vaccine Safety Datalink participating health care organizations from 2006 through 2011. Febrile seizures were confirmed by medical record abstraction. We used the self-controlled risk-interval method to compare the incidence of febrile seizure during postvaccination days 0 to 1 (risk interval) versus days 14 to 20 (control interval). RESULTS We identified 15 febrile seizure cases that occurred after 585,342 vaccination visits. The case patients were aged three to five months. The patients had received a median of four (range two to six) vaccines simultaneously. The incidence rate ratio of febrile seizure after vaccination was 23 (95% confidence interval 5.13 to 100.8), and the attributable risk was 3.92 (95% confidence interval 1.68 to 6.17) febrile seizure cases per 100,000 persons vaccinated. CONCLUSIONS Vaccination in children aged three to five months was associated with a large relative risk of febrile seizure on the day of and the day after vaccination, but the risk was small in absolute terms. Postvaccination febrile seizure should not be a concern for the vast majority of children receiving vaccines, but clinicians might take this risk into consideration when evaluating and treating children susceptible to seizures precipitated by fever.
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Affiliation(s)
- Jonathan Duffy
- Immunization Safety Office, Centers for Disease Control and Prevention, Atlanta, Georgia.
| | - Simon J. Hambidge
- Institute for Health Research, Kaiser Permanente Colorado and Ambulatory Care Services, Denver Health, Denver, Colorado
| | - Lisa A. Jackson
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | | | - Nicola P. Klein
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California, Oakland, California
| | - Allison Naleway
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon
| | - Saad B. Omer
- Kaiser Permanente Georgia and Emory University, Atlanta, Georgia
| | - Eric Weintraub
- Immunization Safety Office, Centers for Disease Control and Prevention, Atlanta, Georgia
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Abstract
INTRODUCTION The case-population approach compares exposure among cases to that of their source population. By using aggregated data to estimate the denominator, this approach can provide a real-time estimate of an association that could be particularly valuable to explore urgent vaccine safety concerns and to generate signals during a vaccine campaign. OBJECTIVE Our objective was to present the vaccine case-population method, a method derived from the case-population approach and adapted for vaccine safety surveillance, and to test it using several published examples. METHODS For the vaccine case-population method, exposure in the population is estimated from the sum of at-risk periods using the number of vaccinated individuals, or data of vaccine sales, and the at-risk period considered for the vaccine-event pair. The vaccine case-population method was applied to data from published case-control studies retrieved from the MEDLINE database and having quantified risks associated with vaccines. Odds ratios derived from the vaccine case-population method were compared with those from published case-control studies. RESULTS A total of 20 vaccine-event pairs were retrieved in which the vaccine case-population method could be applied. For all identified vaccine-event pairs, when a significant association was found using the vaccine case-population method, a significant association was also found in the corresponding case-control study. Conversely, when no association was found by the vaccine case-population method, no association was found in the corresponding case-control study. CONCLUSION These results suggest that the vaccine case-population method can produce coherent conclusions and may be used in the future for prospective investigation of urgent vaccine safety concerns or for the prospective generation of vaccine safety signals. This method could also be used to identify selection bias from cases excluded from the case-control study.
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Baxter R, Lewis E, Goddard K, Fireman B, Bakshi N, DeStefano F, Gee J, Tseng HF, Naleway AL, Klein NP. Acute Demyelinating Events Following Vaccines: A Case-Centered Analysis. Clin Infect Dis 2016; 63:1456-1462. [PMID: 27585798 DOI: 10.1093/cid/ciw607] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2016] [Accepted: 08/25/2016] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Case reports have suggested that vaccines may trigger transverse myelitis (TM) or acute disseminated encephalomyelitis (ADEM), but the evidence for a causal association is inconclusive. We analyzed the association of immunization and subsequent development of TM or ADEM. METHODS We identified all cases of TM and ADEM in the Vaccine Safety Datalink population. Using a case-centered method, we compared vaccination of each case to vaccination of all matched persons in the study population, who received the same type of vaccine, with respect to whether or not their vaccination occurred during a predetermined exposure interval. We calculated a risk difference (excess risk) of TM and ADEM for each vaccine. RESULTS Following nearly 64 million vaccine doses, only 7 cases of TM and 8 cases of ADEM were vaccinated during the primary exposure window 5-28 days prior to onset. For TM, there was no statistically significant increased risk of immunization. For ADEM, there was no statistically significant increased risk following any vaccine except for Tdap (adolescent and adult tetanus, reduced diphtheria, acellular pertussis) vaccine. Based on 2 exposed cases, the odds ratio for Tdap exposure 5-28 days prior to ADEM onset was 15.8 (95% confidence interval [CI], 1.2-471.6; P = .04), and the estimated excess risk was 0.385 (95% CI, -.04 to 1.16) cases per million doses. CONCLUSIONS We found no association between TM and prior immunization. There was a possible association of ADEM with Tdap vaccine, but the excess risk is not likely to be more than 1.16 cases of ADEM per million vaccines administered.
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Affiliation(s)
- Roger Baxter
- Northern California Kaiser Permanente Vaccine Study Center, Oakland
| | - Edwin Lewis
- Northern California Kaiser Permanente Vaccine Study Center, Oakland
| | - Kristin Goddard
- Northern California Kaiser Permanente Vaccine Study Center, Oakland
| | - Bruce Fireman
- Northern California Kaiser Permanente Vaccine Study Center, Oakland
| | | | - Frank DeStefano
- Immunization Safety Office, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Julianne Gee
- Immunization Safety Office, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Hung Fu Tseng
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena
| | - Allison L Naleway
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon
| | - Nicola P Klein
- Northern California Kaiser Permanente Vaccine Study Center, Oakland
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Baxter R, Lewis N, Bohrer P, Harrington T, Aukes L, Klein NP. Sudden-Onset Sensorineural Hearing Loss after Immunization: A Case-Centered Analysis. Otolaryngol Head Neck Surg 2016; 155:81-6. [PMID: 27026733 DOI: 10.1177/0194599816639043] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2015] [Accepted: 02/24/2016] [Indexed: 11/15/2022]
Abstract
OBJECTIVE Case reports of sudden sensorineural hearing loss (SSHL) following vaccines have led to concerns that vaccines may rarely cause hearing loss. Because of this concern, we analyzed for an association between SSHL and vaccinations. STUDY DESIGN We used a case-centered method, equivalent to a case control design using immunization dates from all matched members of the population to calculate exposure to vaccines, rather than sampling. SETTING Kaiser Permanente Northern California (KPNC), 2007 to 2013. SUBJECTS AND METHODS We searched KPNC databases from 2007 to 2013 for all first-time diagnoses of SSHL. We used the date of any hearing- or ear-related visit in the 60 days prior to the first SSHL diagnosis as the onset date. Using only SSHL cases immunized in the prior 9 months, we compared the vaccine exposure in several risk intervals prior to onset with the exposure to the same vaccine during the same time period in all KPNC membership, matched to sex and age. RESULTS During the study period, >20 million vaccines were administered at KPNC. In all risk intervals prior to onset of SSHL, we found no evidence of increased risk of immunization compared with matched controls. The odds ratios for vaccination 1 week prior to SSHL were 0.965 (95% confidence interval, 0.61-1.50) for trivalent inactivated influenza vaccine (TIV); 0.842 (0.39-1.62) for tetanus, reduced diphtheria, and reduced acellular pertussis; and 0.454 (0.08-1.53) for zoster vaccine. CONCLUSION A large-scale analysis applying a case-centered method did not detect any association between SSHL and previous receipt of TIV or other vaccines.
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Affiliation(s)
- Roger Baxter
- Northern California Kaiser Permanente Vaccine Study Center, Oakland, California, USA
| | - Ned Lewis
- Northern California Kaiser Permanente Vaccine Study Center, Oakland, California, USA
| | - Pamela Bohrer
- The Permanente Medical Group, Santa Rosa, California, USA
| | - Theresa Harrington
- CDC, Division of Healthcare Quality Promotion, Immunization Safety Office, Atlanta, Georgia, USA
| | - Laurie Aukes
- Northern California Kaiser Permanente Vaccine Study Center, Oakland, California, USA
| | - Nicola P Klein
- Northern California Kaiser Permanente Vaccine Study Center, Oakland, California, USA
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Baker MA, Fireman BH. Two Authors Reply. Am J Epidemiol 2016; 183:167-8. [PMID: 26684428 DOI: 10.1093/aje/kwv316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Meghan A Baker
- Department of Population Medicine, Harvard Medical School, Boston, MA Department of Population Medicine, Harvard Pilgrim HealthCare Institute, Boston, MA Department of Medicine, Division of Infectious Diseases, Brigham and Women's Hospital, Boston, MA
| | - Bruce H Fireman
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
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Weng HY. Re: "A Vaccine Study Design Selection Framework for the Postlicensure Rapid Immunization Safety Monitoring Program". Am J Epidemiol 2016; 183:167. [PMID: 26684429 DOI: 10.1093/aje/kwv314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Hsin-Yi Weng
- Department of Comparative Pathobiology, Purdue University, West Lafayette, IN
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Li L, Kulldorff M, Russek-Cohen E, Kawai AT, Hua W. Quantifying the impact of time-varying baseline risk adjustment in the self-controlled risk interval design. Pharmacoepidemiol Drug Saf 2015; 24:1304-12. [PMID: 26464236 DOI: 10.1002/pds.3885] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2015] [Revised: 08/24/2015] [Accepted: 09/11/2015] [Indexed: 11/11/2022]
Abstract
PURPOSE The self-controlled risk interval design is commonly used to assess the association between an acute exposure and an adverse event of interest, implicitly adjusting for fixed, non-time-varying covariates. Explicit adjustment needs to be made for time-varying covariates, for example, age in young children. It can be performed via either a fixed or random adjustment. The random-adjustment approach can provide valid point and interval estimates but requires access to individual-level data for an unexposed baseline sample. The fixed-adjustment approach does not have this requirement and will provide a valid point estimate but may underestimate the variance. We conducted a comprehensive simulation study to evaluate their performance. METHODS We designed the simulation study using empirical data from the Food and Drug Administration-sponsored Mini-Sentinel Post-licensure Rapid Immunization Safety Monitoring Rotavirus Vaccines and Intussusception study in children 5-36.9 weeks of age. The time-varying confounder is age. We considered a variety of design parameters including sample size, relative risk, time-varying baseline risks, and risk interval length. RESULTS The random-adjustment approach has very good performance in almost all considered settings. The fixed-adjustment approach can be used as a good alternative when the number of events used to estimate the time-varying baseline risks is at least the number of events used to estimate the relative risk, which is almost always the case. CONCLUSIONS We successfully identified settings in which the fixed-adjustment approach can be used as a good alternative and provided guidelines on the selection and implementation of appropriate analyses for the self-controlled risk interval design.
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Affiliation(s)
- Lingling Li
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA
| | - Martin Kulldorff
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA
| | - Estelle Russek-Cohen
- Office of Biostatistics and Epidemiology, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Alison Tse Kawai
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA
| | - Wei Hua
- Office of Biostatistics and Epidemiology, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
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