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Willame C, Dodd C, Durán CE, Elbers RJHJ, Gini R, Bartolini C, Paoletti O, Wang L, Ehrenstein V, Kahlert J, Haug U, Schink T, Diez-Domingo J, Mira-Iglesias A, Carreras JJ, Vergara-Hernández C, Giaquinto C, Barbieri E, Stona L, Huerta C, Martín-Pérez M, García-Poza P, de Burgos A, Martínez-González M, Bryant V, Villalobos F, Pallejà-Millán M, Aragón M, Carreras JJ, Souverein P, Thurin NH, Weibel D, Klungel OH, Sturkenboom MCJM. Background rates of 41 adverse events of special interest for COVID-19 vaccines in 10 European healthcare databases - an ACCESS cohort study. Vaccine 2023; 41:251-262. [PMID: 36446653 PMCID: PMC9678835 DOI: 10.1016/j.vaccine.2022.11.031] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 11/14/2022] [Accepted: 11/15/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND In May 2020, the ACCESS (The vACCine covid-19 monitoring readinESS) project was launched to prepare real-world monitoring of COVID-19 vaccines. Within this project, this study aimed to generate background incidence rates of 41 adverse events of special interest (AESI) to contextualize potential safety signals detected following administration of COVID-19 vaccines. METHODS A dynamic cohort study was conducted using a distributed data network of 10 healthcare databases from 7 European countries (Italy, Spain, Denmark, The Netherlands, Germany, France and United Kingdom) over the period 2017 to 2020. A common protocol (EUPAS37273), common data model, and common analytics programs were applied for syntactic, semantic and analytical harmonization. Incidence rates (IR) for each AESI and each database were calculated by age and sex by dividing the number of incident cases by the total person-time at risk. Age-standardized rates were pooled using random effect models according to the provenance of the events. FINDINGS A total number of 63,456,074 individuals were included in the study, contributing to 211.7 million person-years. A clear age pattern was observed for most AESIs, rates also varied by provenance of disease diagnosis (primary care, specialist care). Thrombosis with thrombocytopenia rates were extremely low ranging from 0.06 to 4.53/100,000 person-years for cerebral venous sinus thrombosis (CVST) with thrombocytopenia (TP) and mixed venous and arterial thrombosis with TP, respectively. INTERPRETATION Given the nature of the AESIs and the setting (general practitioners or hospital-based databases or both), background rates from databases that show the highest level of completeness (primary care and specialist care) should be preferred, others can be used for sensitivity. The study was designed to ensure representativeness to the European population and generalizability of the background incidence rates. FUNDING The project has received support from the European Medicines Agency under the Framework service contract nr EMA/2018/28/PE.
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Affiliation(s)
- C Willame
- Department of Datascience & Biostatistics, University Medical Center Utrecht, Heidelberglaan 100, the Netherlands
| | - C Dodd
- Department of Datascience & Biostatistics, University Medical Center Utrecht, Heidelberglaan 100, the Netherlands
| | - CE Durán
- Department of Datascience & Biostatistics, University Medical Center Utrecht, Heidelberglaan 100, the Netherlands
| | - RJHJ Elbers
- Department of Data science & Biostatistic, Data manegement, University Medical Center Utrecht, Heidelberglaan 100, the Netherlands
| | - R Gini
- Agenzia regionale di sanità della Toscana, via Pietro Dazzi 1, 55100 Florence, Italy
| | - C Bartolini
- Agenzia regionale di sanità della Toscana, via Pietro Dazzi 1, 55100 Florence, Italy
| | - O Paoletti
- Agenzia regionale di sanità della Toscana, via Pietro Dazzi 1, 55100 Florence, Italy
| | - L Wang
- Department of Clinical Epidemiology, Aarhus University Hospital, Denmark
| | - V Ehrenstein
- Department of Clinical Epidemiology, Aarhus University Hospital, Denmark
| | - J Kahlert
- Department of Clinical Epidemiology, Aarhus University Hospital, Denmark
| | - U Haug
- Department of Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology – BIPS, Faculty of Human and Health Sciences, University of Bremen, Germany
| | - T Schink
- Department of Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology – BIPS, 28359 Bremen, Germany
| | - J Diez-Domingo
- Vaccine Research Department, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO – Public Health), Avenida Cataluña, 21, 46020 Valencia, Spain
| | - A Mira-Iglesias
- Vaccine Research Department, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO – Public Health), Avenida Cataluña, 21, 46020 Valencia, Spain
| | - JJ Carreras
- Vaccine Research Department, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO – Public Health), Avenida Cataluña, 21, 46020 Valencia, Spain
| | - C Vergara-Hernández
- Vaccine Research Department, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO – Public Health), Avenida Cataluña, 21, 46020 Valencia, Spain
| | - C Giaquinto
- Division of Paediatric Infectious Diseases, Department of Women’s and Children’s Health, University of Padova, Padova, Italy
| | - E Barbieri
- Division of Paediatric Infectious Diseases, Department of Women’s and Children’s Health, University of Padova, Padova, Italy
| | - L Stona
- Fondazione Penta ONLUS, Corso Stati Uniti 4, 35127 Padova, Italy
| | - C Huerta
- Department of Public Health and Maternal and Child Health, Faculty of Medicine, Complutense University of Madrid, 28040 Madrid, Spain
| | - M Martín-Pérez
- Pharmacoepidemiology and Pharmacovigilance Division, Medicines for Human Use Department, Spanish Agency for Medicines and Medical Devices (AEMPS), Calle Campezo 1, 28022 Madrid, Spain
| | - P García-Poza
- Pharmacoepidemiology and Pharmacovigilance Division, Medicines for Human Use Department, Spanish Agency for Medicines and Medical Devices (AEMPS), Calle Campezo 1, 28022 Madrid, Spain
| | - A de Burgos
- Pharmacoepidemiology and Pharmacovigilance Division, Medicines for Human Use Department, Spanish Agency for Medicines and Medical Devices (AEMPS), Calle Campezo 1, 28022 Madrid, Spain
| | - M Martínez-González
- Pharmacoepidemiology and Pharmacovigilance Division, Medicines for Human Use Department, Spanish Agency for Medicines and Medical Devices (AEMPS), Calle Campezo 1, 28022 Madrid, Spain
| | - V Bryant
- Pharmacoepidemiology and Pharmacovigilance Division, Medicines for Human Use Department, Spanish Agency for Medicines and Medical Devices (AEMPS), Calle Campezo 1, 28022 Madrid, Spain
| | - F Villalobos
- 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), 43202 Reus, Spain
| | - M 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), 43202 Reus, Spain
| | - M Aragón
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 08007 Barcelona, Spain
| | - JJ Carreras
- Vaccine Research Department, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO – Public Health), Avenida Cataluña, 21, 46020 Valencia, Spain
| | - P Souverein
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, PO BOX 80082, 3508 TB Utrecht, the Netherlands
| | - NH Thurin
- INSERM CIC-P1401, Bordeaux PharmacoEpi, Univ. Bordeaux, 146 rue Léo Saignat, 33076 Bordeaux cedex, France
| | - D Weibel
- Department of Datascience & Biostatistics, University Medical Center Utrecht, Heidelberglaan 100, the Netherlands
| | - OH Klungel
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, PO BOX 80082, 3508 TB Utrecht, the Netherlands
| | - MCJM Sturkenboom
- Department of Datascience & Biostatistics, University Medical Center Utrecht, Heidelberglaan 100, the Netherlands,Corresponding author at: Department Datascience & Biostatistics Univerisity Medical Center Utrecht, Heidelberglaan 100, The Netherlands
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Burges Watson DL, Lewis S, Bryant V, Patterson J, Kelly C, Edwards-Stuart R, Murtagh MJ, Deary V. Altered eating: a definition and framework for assessment and intervention. BMC Nutr 2018; 4:14. [PMID: 32153878 PMCID: PMC7050903 DOI: 10.1186/s40795-018-0221-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Accepted: 03/19/2018] [Indexed: 11/10/2022] Open
Abstract
Background Eating can be a significant challenge for cancer survivors; however, to date there is no systematic way of assessing and addressing food related quality of life in this group. The purpose of our study was to develop a framework for doing so. Methods Over the course of 6 years in participant-led food workshops, we worked alongside 25 head and neck cancer (HNC) survivors and their partners, employing video-reflexive ethnographic (VRE) methods. The current study reports on data from the two summative workshops of this series where we worked with participants to cohere the emergent themes. Video and transcripts were reviewed and coded with participants and stakeholders according to domains of life that were affected by food. Three of the authors, one of whom is both survivor and researcher, arrived at the consensus framework. Results Seven areas of life were identified as affecting, or being affected by, altered eating. Three were physiological: anatomical, functional and sensory. Two captured the cognitive and behavioural labour of eating. Social life and identity were altered. The foregoing had an enduring emotional impact. Conclusions Altered eating has physical, emotional and social consequences. The altered eating framework provides a systematic way of exploring those consequences with individual survivors. This framework has the potential to improve both the assessment and treatment of altered eating, to benefit food-related quality of life.
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Affiliation(s)
- D L Burges Watson
- 1Institute of Health and Society, Newcastle University, Newcastle Upon Tyne, UK
| | - S Lewis
- 2Department of Geography, Durham University, Durham, UK
| | | | - J Patterson
- 4City Hospitals Sunderland NHS Foundation Trust, Sunderland, UK
| | - C Kelly
- 5Freeman Hospital Northern Centre for Cancer Care, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK
| | | | - M J Murtagh
- 7Newcastle University, Newcastle Upon Tyne, UK
| | - V Deary
- 8School of Life Sciences, Northumbria University, Newcastle Upon Tyne, UK
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García-Poza P, de Abajo FJ, Gil MJ, Chacón A, Bryant V, García-Rodríguez LA. Risk of ischemic stroke associated with non-steroidal anti-inflammatory drugs and paracetamol: a population-based case-control study. J Thromb Haemost 2015; 13:708-18. [PMID: 25611553 DOI: 10.1111/jth.12855] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2014] [Accepted: 01/15/2015] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To assess the risk of non-fatal ischemic stroke associated with non-steroidal anti-inflammatory drugs (NSAIDs) and paracetamol. The effects of dose, duration of treatment, background cardiovascular (CV) risk and use of concomitant aspirin were studied. METHODS We performed a population-based case-control study. Patients were considered exposed if they were on treatment within a 30-day window before the index date. We estimated adjusted odds ratios (ORs) and their 95% confidence intervals (CIs) using logistic regression. RESULTS Two thousand eight hundred and eighty-eight cases and 20 000 controls were included. No increased risk was observed with traditional NSAIDs as a group (OR = 1.03; 95% CI, 0.90-1.19), but results varied across individual agents and conditions of use. An increased risk was found with diclofenac (OR = 1.53; 95% CI, 1.19-1.97), in particular when used at high doses (OR = 1.62; 1.06-2.46), over long-term periods (> 365 days; OR = 2.39; 1.52-3.76) and in patients with a high background CV risk (OR = 1.78; 1.23-2.58), as well as with aceclofenac when used at high doses (OR = 1.67; 1.05-2.67), in long-term treatments (OR = 2.00; 1.14-3.53) and in patients with CV risk factors (OR = 2.33; 1.40-3.87). No association was found with ibuprofen (OR = 0.94; 0.76-1.17) or naproxen (OR = 0.68; 0.36-1.29). The concomitant use of aspirin did not show a significant effect modification. Paracetamol did not increase the risk overall (OR = 0.97; 0.85-1.10) or in patients at high CV risk (OR = 0.94; 0.78-1.14). CONCLUSIONS Diclofenac and aceclofenac increase the risk of ischemic stroke while ibuprofen and naproxen do not. Dose, duration and baseline CV risk, but not aspirin use, appear to modulate the risk. Paracetamol does not increase the risk, even in patients with a high background CV risk.
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Affiliation(s)
- P García-Poza
- Clinical Pharmacology Unit, University Hospital "Príncipe de Asturias", Department of Biomedical Sciences, School of Medicine and Health Sciences, University of Alcalá, Alcalá de Henares, Madrid, Spain
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Goldstein LH, Newsom-Davis IC, Bryant V, Brammer M, Leigh PN, Simmons A. Altered patterns of cortical activation in ALS patients during attention and cognitive response inhibition tasks. J Neurol 2011; 258:2186-98. [PMID: 21556876 PMCID: PMC3225607 DOI: 10.1007/s00415-011-6088-8] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2011] [Accepted: 04/28/2011] [Indexed: 11/24/2022]
Abstract
Since amyotrophic lateral sclerosis (ALS) can be accompanied by executive dysfunction, it is hypothesised that ALS patients will have impaired performance on tests of cognitive inhibition. We predicted that ALS patients would show patterns of abnormal activation in extramotor regions when performing tests requiring the inhibition of prepotent responses (the Stroop effect) and the inhibition of prior negatively primed responses (the negative priming effect) when compared to healthy controls. Functional magnetic resonance imaging was used to measure activation during a sparse sequence block design paradigm investigating the Stroop and negative priming effects in 14 ALS patients and 8 healthy age- and IQ-matched controls. Behavioural measures of performance were collected. Both groups' reaction times (RTs) reflected the Stroop effect during scanning. The ALS and control groups did not differ significantly for any of the behavioural measures but did show significant differences in cerebral activation during both tasks. The ALS group showed increased activation predominantly in the left middle temporal gyrus (BA 20/21), left superior temporal gyrus (BA 22) and left anterior cingulate gyrus (BA 32). Neither group's RT data showed clear evidence of a negative priming effect. However the ALS group showed decreased activation, relative to controls, particularly in the left cingulate gyrus (BA 23/24), left precentral gyrus (BA 4/6) and left medial frontal gyrus (BA 6). Greater cerebral activation in the ALS group accompanying the performance of the Stroop effect and areas of decreased activation during the negative priming comparison suggest altered inhibitory processing in ALS, consistent with other evidence of executive dysfunction in ALS. The current findings require further exploration in a larger study.
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Affiliation(s)
- L H Goldstein
- King's College London, Department of Psychology, Institute of Psychiatry, MRC Centre for Neurodegeneration Research, PO77, De Crespigny Park, London, SE5 8AF, UK.
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