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Synthetic Dataset- Patients at risk of sudden death: hypertrophic cardiomyopathy

Population Size

20,000

People

Years

2021 - 2024

Associated BioSamples

None/not available

Geographic coverage

United Kingdom

England

Lead time

1-2 months

Summary

Synthetic data replicating 20,000 ethnically diverse hypertrophic cardiomyopathy patients: This includes clinical and biological phenotyping, co-morbidities, investigations (including ECG, ECHO), any procedures undertaken and outcomes.

Documentation

Background:

A PIONEER synthetic dataset of 20,000 ethnically diverse hypertrophic cardiomyopathy patients created using CT-GAN generative AI. Data includes clinical & biological phenotyping, co-morbidities, investigations (ECG, ECHO), procedures & outcomes.

Well-created synthetic data establishes a governance risk-free environment for algorithm development & experimentation. This includes evaluating new treatment models, care management systems, clinical decision support, and more. Synthetic data is of particular use in rare diseases, where real data may be in short supply, or to replicate disease in less common patient demographics (e.g. ethnicities).

Familial hypertrophic cardiomyopathy (HCM) is a rare genetic condition characterised by thickening (hypertrophy) of the cardiac muscle, usually of the interventricular septum. Arrhythmias can be life threatening and HCM is associated with an increased risk of sudden death. Some affected individuals develop potentially fatal heart failure, which may require heart transplantation. Approximately 130,000 people have HCM in the UK, but there is a significant burden of undiagnosed disease and diagnostic delay.

Geography: The West Midlands (WM) has a population of 6 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 & > 120 ITU bed capacity. 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”.

Data set availability: Data access is available via the PIONEER Hub for projects which will benefit the public or patients. This can be by developing a new understanding of disease, by providing insights into how to improve care, or by developing new models, tools, treatments, or care processes. Data access can be provided to NHS, academic, commercial, policy and third sector organisations. Applications from SMEs are welcome. There is a single data access process, with public oversight provided by our public review committee, the Data Trust Committee. Contact pioneer@uhb.nhs.uk or visit www.pioneerdatahub.co.uk for more details.

Available supplementary data: Matched controls; ambulance and community data. Unstructured data (images). We can provide the dataset in OMOP and other common data models and can provide real world data to meet bespoke requirements.

Available supplementary support: Analytics, model build, validation & refinement; A.I. support. Data partner support for ETL (extract, transform & load) processes. Bespoke and “off the shelf” Trusted Research Environment (TRE) build and run. Consultancy with clinical, patient & end-user and purchaser access/ support. Support for regulatory requirements. Cohort discovery. Data-driven trials and “fast screen” services to assess population size.

Dataset type
Health and disease, Treatments/Interventions
Dataset sub-type
Cardiovascular
Dataset population size
20000

Keywords

synthetic, health data, hypertrophic cardiomyopathy patients, breathlessness, chest pain, palpitations, arrhythmias, sudden cardiac death, genotype, phenotype, results of ECG, cardiopulmonary exercise test, ECHO, Left bundle branch block, atrial fibrilliation, pre-excitation, family history, smoking, BMI, exercise, cardiovascular magnetic imaging, pacemaker, defibrillator, outcomes, demography, age, ethnicity, hospital events, care pathways, diagnostic delay, HCM

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Persons

20,000 synthetically generated patient records, sampled using a CT-GAN generative AI

20000

Count

25 Feb 2021

Provenance

Purpose of dataset collection
Other
Source of data extraction
Machine generated
Collection source setting
Secondary care - In-patients
Patient pathway description
Data is representative of the multi-ethnicity population within the West Midlands (42% non white). Data includes all patients admitted during this timeframe, with National data Opt Outs applied, and therefore is representative of admissions to secondary care. Data focuses on in-patient stay in hospital during the acute episode but can be supplemented on request to include previous and subsequent hospital contacts (including outpatient appointments) and ambulance, 111,

999 data.

University Hospitals Birmingham NHS Foundation Trust (UHB) is one of the largest NHS Trusts in England

, providing direct acute services and specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds and 100 ITU beds. UHB runs a fully electronic healthcare record (EHR) (PICS Birmingham Systems), a shared primary and secondary care record (Your Care Connected) and a patient portal “My Health”.
Image contrast
Not stated
Biological sample availability
None/not available

Structural Metadata

Details

Publishing frequency
Static
Version
1.0.0
Modified

08/10/2024

Distribution release date

29/02/2024

Citation Requirements
This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158)

Coverage

Start date

22/02/2021

End date

31/01/2024

Time lag
Not applicable
Geographic coverage
United Kingdom, England, West Midlands
Maximum age range
150
Follow-up
Other

Accessibility

Language
en
Alignment with standardised data models
LOCAL
Controlled vocabulary
LOCAL
Format
csv

Data Access Request

Dataset pipeline status
Available
Time to dataset access
1-2 months
Access request cost
www.pioneerdatahub.co.uk/data/data-services-costs/
Access method category
TRE/SDE
Access service description

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.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.

Jurisdiction
GB-ENG
Data use limitation
General research use,Commercial research use
Data use requirements
Project-specific restrictions
Data Controller
University Hospitals Birmingham NHS Foundation Trust

Dataset Types: Health and disease, Treatments/Interventions

Dataset Sub-types: Cardiovascular


Collection Sources: Secondary care - In-patients