A5069184785- Long-Term Effects of COVID-19
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Health Systems, Economic Evaluations, Quality of Life
- COVID-19 and healthcare impacts
- COVID-19 and Mental Health
- Chronic Disease Management Strategies
- Pharmacovigilance and Adverse Drug Reactions
- Cancer Diagnosis and Treatment
- Pharmaceutical Practices and Patient Outcomes
- Pharmaceutical studies and practices
- Vaccine Coverage and Hesitancy
- Healthcare cost, quality, practices
- Heparin-Induced Thrombocytopenia and Thrombosis
- Frailty in Older Adults
- Bone health and treatments
- Bone health and osteoporosis research
- vaccines and immunoinformatics approaches
- Intramuscular injections and effects
- COVID-19 epidemiological studies
- Bone and Joint Diseases
- Health disparities and outcomes
- Reproductive Health and Contraception
- Global Cancer Incidence and Screening
- Pharmacological Effects and Toxicity Studies
University of Oxford
2020-2025
Nuffield Orthopaedic Centre
2020-2025
Oxford BioMedica (United Kingdom)
2024
NIHR Oxford Musculoskeletal Biomedical Research Centre
2024
Advisory Board Company (United States)
2021
CHR Verviers
2021
University Hospital of Zurich
2016-2020
University of Zurich
2017-2020
ETH Zurich
2018
BackgroundAlthough vaccines have proved effective to prevent severe COVID-19, their effect on preventing long-term symptoms is not yet fully understood. We aimed evaluate the overall of vaccination long COVID and assess comparative effectiveness most used (ChAdOx1 BNT162b2).MethodsWe conducted a staggered cohort study using primary care records from UK (Clinical Practice Research Datalink [CPRD] GOLD AURUM), Catalonia, Spain (Information System for in Primary Care [SIDIAP]), national health...
Objective To study the association between COVID-19 vaccination and risk of post-COVID-19 cardiac thromboembolic complications. Methods We conducted a staggered cohort based on national campaigns using electronic health records from UK, Spain Estonia. Vaccine rollout was grouped into four stages with predefined enrolment periods. Each stage included all individuals eligible for vaccination, no previous SARS-CoV-2 infection or vaccine at start date. Vaccination status used as time-varying...
Introduction The COVID-19 pandemic had collateral effects on many health systems. Cancer screening and diagnostic tests were postponed, resulting in delays diagnosis treatment. This study assessed the impact of screening, diagnostics incidence breast, colorectal, lung, prostate cancer; whether rates returned to pre-pandemic levels by December, 2021. Methods is a cohort electronic records from United Kingdom (UK) primary care Clinical Practice Research Datalink (CPRD) GOLD database. included...
Abstract The rapid global distribution of COVID-19 vaccines, with over a billion doses administered, has been unprecedented. However, in comparison to most identified clinical determinants, the implications individual genetic factors on antibody responses post-COVID-19 vaccination for breakthrough outcomes remain elusive. Here, we conducted population-based study including 357,806 vaccinated participants high-resolution HLA genotyping data, and subset 175,000 serology test results. We...
Persistent symptoms following the acute phase of COVID-19 present a major burden to both affected and wider community. We conducted cohort study including over 856,840 first cases, 72,422 re-infections more than 3.1 million negative-test controls from primary care electronic health records Spain UK (Sept 2020 Jan 2022 (UK)/March (Spain)). characterised post-acute identified key associated with persistent disease. estimated incidence rates persisting in general population among patients time....
Background: While vaccines have proved effective to prevent severe COVID-19, their impact long-term symptoms is not yet fully understood. Methods: We conducted staggered cohort studies using primary care records from both the UK and Catalonia (Spain) national health claims Estonia. All adults registered for at least 180 days as of 01/2021 (UK), 02/2021 (Estonia) comprised source population. Vaccination status was used a time-varying exposure, by vaccine rollout period. Vaccinated people were...
ABSTRACT Purpose The generation of representative disease phenotypes is important for ensuring the reliability findings observational studies. aim this manuscript to outline a reproducible framework reliable and traceable phenotype based on real world data use in Data Analysis Real‐World Interrogation Network (DARWIN EU). We illustrate by generating two diseases: pancreatic cancer systemic lupus erythematosus (SLE). Methods phenotyping process involves 14‐steps standard operating procedure...
Individual case reports are the main asset in pharmacovigilance signal management. Signal validation is first stage after detection and aims to determine if there sufficient evidence justify further assessment. Throughout management, a prioritization of signals continually made. Routinely collected health data can provide relevant contextual information but primarily used at later pharmacoepidemiological studies assess communicated signals.The aim this study was examine feasibility utility...
Introduction Electronic health records can be used to understand the diverse presentation of post-acute and long-term outcomes following COVID-19 infection. In England, UK Health Security Agency, in collaboration with University Oxford, has created Evaluation Outcomes (ECHOES) dataset monitor how an initial SARS-CoV-2 infection episode is associated changes risk that are recorded routinely collected data. Methods The ECHOES a national-level combining surveillance, administrative, healthcare...
<title>Abstract</title> Patients with earlier SARS-CoV-2 variants are at increased risk of venous and arterial thromboembolic (VTE, ATE) events. Here we aimed to contextualise the incidence events among patients COVID-19 during Omicron period. We conducted a population-based cohort study using electronic health records from UK (CPRD GOLD), Netherlands (IPCI), Spain (SIDIAP) within DARWIN EU® network. Two cohorts were included: pre-pandemic population (2017–2019) individuals infected...
While several definitions exist for multimorbidity, frailty or polypharmacy, it is yet unclear to what extent single healthcare markers capture the complexity of health-related needs in older people community. We aimed identify and characterise with complex health based on resource use (unplanned hospitalisations polypharmacy) using large population-based linked records.In this cohort study, data was extracted from UK primary care records (CPRD GOLD), Hospital Episode Statistics inpatient...
ABSTRACT Objectives This study aimed to assess the impact of COVID-19 lockdown on screening and diagnosis breast, colorectal, lung, prostate cancer. The also investigated whether rates returned pre-pandemic levels by December 2021. Design Cohort study. Setting Electronic health records from UK primary care Clinical Practice Research Datalink (CPRD) GOLD database. Participants included individuals registered with CPRD between January 2017 2021, at least 365 days prior observation. Main...
Abstract As limited data was available on the effect of persisting COVID-19 symptoms, we characterised long COVID and identified key symptoms associated with persistent disease. Using primary care from Spain UK, estimated incidence rates in population among patients over time. Subsequently, investigated which WHO-listed were particularly differential for by comparing their frequency vs matched test-negative controls. Lastly, compared after first infections vs. reinfections. Fortunately,...
We studied the characteristics of patients prescribed osteoporosis medication and patterns use in European databases. Patients were mostly female, older, had hypertension. There was suboptimal persistence particularly for oral medications. Our findings would be useful to healthcare providers focus their resources on improving specific treatments.To characterise therapy describe drug utilization patterns.We investigated treatment bisphosphonates, denosumab, teriparatide, selective estrogen...
Abstract Purpose We aimed to develop a standardized method calculate daily dose (i.e., the amount of drug patient was exposed per day) any on global scale using only information typical observational data in Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) and single reference table from Health Sciences And Informatics (OHDSI). Materials Methods The OMOP DRUG_STRENGTH contains strength or concentration drugs, whereas DRUG_EXPOSURE patients' prescriptions...
Background: The COVID-19 pandemic affected cancer screening, diagnosis and treatments. Many surgeries were substituted with bridging therapies during the initial lockdown, yet consideration of treatment side effects their management was not a priority. Objectives: To examine how changing social restrictions imposed by incidence trends endocrine prescriptions in newly diagnosed (incident) breast prostate patients and, secondarily, treatment-related outcomes (including bisphosphonate...
Introduction Machine learning (ML) methods are promising and scalable alternatives for propensity score (PS) estimation, but their comparative performance in disease risk (DRS) estimation remains unexplored. Methods We used real-world data comparing antihypertensive users to non-users with 69 negative control outcomes, plasmode simulations study the of ML PS DRS estimation. conducted a cohort using UK primary care records. Further, we simulation synthetic treatment outcome mimicking...
Abstract Background Rising health care costs are a major public issue. Thus, accurately predicting future and understanding which factors contribute to increases in expenditures important. The objective of this project was predict patients healthcare development the subsequent year identify contributing prediction, with particular focus on role pharmacotherapy. Methods We used 2014–2015 Swiss insurance claims data 373′264 adult classify individuals’ changes costs. performed extensive feature...
Abstract Purpose Overdosing of the oral antidiabetic metformin in impaired renal function is an important contributory cause to life‐threatening lactic acidosis. The presented project aimed quantify and prevent this avoidable medication error clinical practice. Methods We developed implemented algorithm into a hospital's information system that prospectively identifies prescriptions if estimated glomerular filtration rate below 60 mL/min. Resulting real‐time electronic alerts are sent...
There are scarce data on best practices to control for confounding in observational studies assessing vaccine effectiveness prevent COVID-19. We compared the performance of three well-established methods [overlap weighting, inverse probability treatment weighting and propensity score (PS) matching] minimize when comparing vaccinated unvaccinated people. Subsequently, we conducted a target trial emulation study ability these replicate COVID-19 trials.
<title>Abstract</title> Prior evidence has suggested the multisystem symptomatic manifestations of post-acute COVID-19 condition (PCC). Here we conducted a network cluster analysis 24 WHO proposed symptoms to identify potential latent subclasses PCC. Individuals with positive test or diagnosed SARS-CoV-2 after 09/2020 and at least one symptom within ≥ 90 365 days following infection were included. Sub-analyses among people 3 different symptoms. Summary characteristics provided for each...
ABSTRACT Purpose To illustrate the interest in using interrupted time series (ITS) methods, this study evaluated impact of UK MHRA's March 2019 Risk Minimisation Measures (RMM) on fluoroquinolone usage. Methods Monthly and quarterly use incidence rates from 2012 to 2022 were analysed across hospital care (Barts Health NHS Trust), primary (Clinical Practice Research Datalink (CPRD) Aurum CPRD GOLD), linked records both settings (East Scotland). Rates stratified by age (19–59 ≥ 60 years old)....
Validation of outcomes allows measurement and correction for potential misclassification targeted adjustment algorithms case definition. The purpose our study was to validate identifying cases acute myocardial infarction (AMI), stroke, cardiovascular (CV) death using patient profiles, ie, chronological tabular summaries relevant available information on a patient, extracted from pseudonymized German claims data.Based the Pharmacoepidemiological Research Database (GePaRD), 250 were randomly...
Background: Potential drug-drug interactions (pDDIs) are described in various case reports, but few studies have evaluated the impact of specific combinations on a population level. Objective: To analyze type and frequency multiple contraindicated (X-pDDIs) major (D-pDDIs) to subsequently assess particular combination tizanidine ciprofloxacin outpatient physician visits hospitalizations. Methods: Anonymized Swiss claims data from 524 797 patients 2014-2015 were analyzed. First, frequencies...