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Characteristics, risk factors and clinical impact of penicillin and other antibiotic allergies in adults in the UK General Practice: a population-based cohort study.
J Infect
January 2025
Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, UK; Research Department of Practice and Policy, School of Pharmacy, University College London, London, United Kingdom; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong; Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong.
Objective: To assess the characteristics, risk factors and clinical impact of penicillin and other antibiotic allergies labels in general practice in the UK.
Design: Population-based cohort study.
Setting: Primary care in the UK, 2000-2018.
Cervical ripening at home or in hospital during induction of labour: the CHOICE prospective cohort study, process evaluation and economic analysis.
Health Technol Assess
December 2024
Usher Institute, University of Edinburgh, Edinburgh, UK.
Background: Around one in three pregnant women undergoes induction of labour in the United Kingdom, usually preceded by in-hospital cervical ripening to soften and open the cervix.
Objectives: This study set out to determine whether cervical ripening at home is within an acceptable safety margin of cervical ripening in hospital, is effective, acceptable and cost-effective from both National Health Service and service user perspectives.
Design: The CHOICE study comprised a prospective multicentre observational cohort study using routinely collected data (CHOICE cohort), a process evaluation comprising a survey and nested case studies (qCHOICE) and a cost-effectiveness analysis.
Visual and anatomical failure of anti-VEGF therapy for retinal vascular diseases: a survival analysis of real-world data.
Eye (Lond)
December 2024
NIHR Biomedical Research Centre At Moorfields Eye Hospital NHS Foundation Trust, UCL Institute of Ophthalmology, London, UK.
Importance: Predicting undesirable outcomes following anti-VEGF initiation in macular oedema is critical for effective clinical decision-making and optimised care.
Objective: To estimate the time to undesirable events in diabetic macular oedema (DMO), central and branch vein occlusions (CRVO and BRVO) after appropriate loading doses with either ranibizumab or aflibercept and identified baseline predictors of negative outcome.
Design, Setting, Participants: A retrospective cohort study of 3277 patients (N = 2107 in DMO, N = 413 in CRVO and N = 757 in BRVO) collected over a 10-year period, in a large UK tertiary centre.
Intervention design for artificial intelligence-enabled macular service implementation: a primary qualitative study.
Implement Sci Commun
November 2024
Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, UK.
Background: Neovascular age-related macular degeneration (nAMD) is one of the largest single-disease contributors to hospital outpatient appointments. Challenges in finding the clinical capacity to meet this demand can lead to sight-threatening delays in the macular services that provide treatment. Clinical artificial intelligence (AI) technologies pose one opportunity to rebalance demand and capacity in macular services.
View Article and Find Full Text PDFPredicting individual patient and hospital-level discharge using machine learning.
Commun Med (Lond)
November 2024
Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Background: Accurately predicting hospital discharge events could help improve patient flow and the efficiency of healthcare delivery. However, using machine learning and diverse electronic health record (EHR) data for this task remains incompletely explored.
Methods: We used EHR data from February-2017 to January-2020 from Oxfordshire, UK to predict hospital discharges in the next 24 h.
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