Recurrent cardiovascular and limb events in 294,428 patients with coronary or peripheral artery disease or ischemic stroke on antiplatelet monotherapy: The RESRISK cohort study.

Background And Aims: Utilising real-world data, we quantified the burden of cardiovascular risk factors and long-term residual risk of atherothrombotic events among routine care cohorts with coronary (CAD) or peripheral (PAD) artery disease or ischemic stroke (IS) on guideline-recommended antiplatelet monotherapy (APMT).

Methods: Retrospective cohort study using data (2010-2020) from the United Kingdom Clinical Practice Research Datalink (CPRD) and Hospital Episode Statistics, including adults with CAD, PAD or IS who were first prescribed APMT (CAD/IS: aspirin; PAD: clopidogrel). Primary outcomes (recurrent events): major adverse cardiovascular events (MACE) for CAD/PAD/IS cohorts, major adverse limb events (MALE) for PAD.

Eliciting the mechanisms of action of care navigators in the management of type 2 diabetes in people with severe mental illness: A qualitative study.

Background: People with severe mental illness and type 2 diabetes have a reduced life expectancy compared to the general population. One factor that contributes to this is the inability to provide optimal management, as the two conditions are typically managed by separate physical and mental health systems. The role of care navigators in coordinating diabetes care in people with severe mental illness may provide a solution to better management.

Text mining occupations from the mental health electronic health record: a natural language processing approach using records from the Clinical Record Interactive Search (CRIS) platform in south London, UK.

Objectives: We set out to develop, evaluate and implement a novel application using natural language processing to text mine occupations from the free-text of psychiatric clinical notes.

Design: Development and validation of a natural language processing application using General Architecture for Text Engineering software to extract occupations from de-identified clinical records.

Setting And Participants: Electronic health records from a large secondary mental healthcare provider in south London, accessed through the Clinical Record Interactive Search platform.