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Deeply phenotyped clinical data for hospitalised Atrial Fibrillation patients
Population Size
48,820
People
Years
2018 - 2022
Associated BioSamples
None/not available
Geographic coverage
United Kingdom
England
Lead time
Not applicable
Summary
Documentation
Atrial fibrillation (AF) is a condition of the heart where the heart control rhythm changes from the normal sinus mode to a rapid activity. It is an irregular and often very rapid heart rhythm, known as a type of arrhythmia that can lead to thrombotic events and cardiac dysfunction. AF increases the risk of stroke, heart failure and other heart-related complications.
The cause is not fully understood, but it tends to affect certain groups of people, such as older people and people living with long-term (chronic) conditions such as heart disease, high blood pressure or obesity. Congenital heart disease, pericarditis, cardiomyopathy, physical and mental stress, also contribute to disease pathogenesis.
This highly granular dataset includes patient demographics, key lifestyle and underlying health status information, procedures (catheter ablation, electrical cardioversion), medications (beta-blockers, calcium channel blockers, anticoagulants), risk factors and co-morbidities.
PIONEER geography: The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix.
UHB is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & an expanded 250 ITU bed capacity during COVID. UHB runs a fully electronic healthcare record (EHR) (PICS Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”.
Scope: Thematic dataset of Atrial Fibrillation and Atrial Flutter. Longitudinal & individually linked, so that the preceding & subsequent health journey can be mapped & healthcare utilisation prior to & after admission understood. The dataset includes highly granular patient demographics, co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to process of care (timings, admissions, wards, attending practitioner change and triage), presenting complaint, assessments, bed moves, consultation, DNAR TEAL, electrocardiogram, events, follow ups, physiology readings (heart rate, BMI, blood pressure, respiratory rate, NEWS2 score, oxygen saturations and clinical frailty scale and others), Lab analysis results (urea, albumin, platelets, potassium, white blood cell count, Covid 19 test and others) microbiology results, procedures, outpatients admissions, surgeries, therapies, ventilation, drug administered and all outcomes. Linked images available (radiographs, CT scans, MRI).
Available supplementary data: Matched controls ambulance, OMOP data, synthetic data.
Available supplementary support: Analytics, Model build, validation & refinement A.I. Data partner support for ETL (extract, transform & load) process, Clinical expertise, Patient & end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.
Keywords
Observations
Observed Node | Disambiguating Description | Measured Value | Measured Property | Observation Date |
---|---|---|---|---|
Persons | 48,820 spells diagnosed with atrial fibrillation | 48820 | Count | 06 Jan 2022 |
Provenance
Structural Metadata
Details
08/10/2024
06/01/2022
Coverage
01/01/2018
01/01/2022
Accessibility
Data Access Request
Trusted Research Environments (TRE) are built using Microsoft Azure services and hosted in the UK to provide research teams a safe, secure and agile environment which allows users to quickly analyse, interpret and form an enriched view of primary care information through a range of integrated datasets.
Health data collated from multiple sources is ingested into a secure data lake which will then allow subsets of data to be made available to research teams on approval of a data request. Once approved a customer specific TRE is made available with a standard set of leading analytical tools from Microsoft including Azure Databricks, Azure Machine Learning, Azure SQL and Azure Synapse (for large-scale data warehouses). Specific tools can be provided at an additional cost over the standard platform data access charge and the PIONEER team will work with you to determine your exact needs.
Access to the TRE is managed using the latest virtual desktop technology to provide a safe and secure end-user experience. By utilising leading edge design PIONEER are able to create TREs rapidly to enable us to service any customer requirement.