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Age-Adjusted D-Dimers: Enhancing Diagnosis & Patient Safety in Thromboembolism

Population Size

45,875

People

Population Size statistic card

Years

2016 - 2021

Years statistic card

Associated BioSamples

None/not available

Associated BioSamples statistic card

Geographic coverage

United Kingdom

England

Geographic coverage statistic card

Lead time

1-2 months

Lead time statistic card

Summary

A PIONEER, NIHR Midlands Patient Safety Research Collaborative and NIHR Applied Research Collaboration West Midlands dataset of 27,526 patients with suspected/confirmed thromboembolic events including demographics, physiology, test results and outcomes.

Documentation

Background

Annually in the UK, around 60,000 people develop a pulmonary embolism (PE) and 200,000 a deep vein thrombosis (DVT) and the number of emergency admissions for suspected PE and DVT is increasing. Diagnosing PE and DVT remains a challenge due to the non-specific nature of presenting symptoms. Further tests are often required and each year the number of CTPAs and USS performed for suspected VTE increases.

There is great interest in finding better tools to identify those with the highest likelihood of a DVT and PE, so that precious screening services can be focused where needed most. A number of tools have been suggested but few have been adopted in clinical practice.

Methods such as age-adjusted D-dimer tests and 4PEPs and 4D scores aim to predict PE and DVT more accurately. Implementing a more precise system could revolutionise how we diagnose and treat these dangerous conditions. This dataset enables an exploration of VTE to better understand disease, identify patients at most risk of the poorest outcomes and to improve health services through the development of new prognostic tools.

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, and 2,750 beds. 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: Enabling data-driven research and machine learning models towards improving the diagnosis of Thromboembolic events (PE/DVT). Real-world dataset linked. The dataset includes patient demographics, clinical scores, and medical conditions for PE/DVT patients, alongside outcomes taken from ICD-10 & SNOMED-CT codes.

Available supplementary data: A synthetic version of thromboembolic events dataset including data pre-processing, synthetising, and post-process steps.

Available supplementary support: PIONEER can also offer 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.

This research is supported by the National Institute for Health and Care Research (NIHR) Midlands Patient Safety Research Collaboration (PSRC).

This dataset was prepared by and is available through PIONEER, with the support of the NIHR Applied Research Collaboration West Midlands (NIHR ARC WM).

Dataset type

Health and disease, Measurements/Tests

Dataset sub-type

Cardiovascular

Dataset population size

45875

Keywords

Observations

Observed Node

Disambiguating Description

Measured Value

Measured Property

Observation Date

Persons

45875 patients with suspected/diagnosed DVT and/or PE

45875

Count

21 Aug 2022

Provenance

Purpose of dataset collection

Care

Source of data extraction

EPR

Collection source setting

Secondary care - Accident and Emergency

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.

Image contrast

Not stated

Biological sample availability

None/not available

Structural Metadata

Details

Publishing frequency

Quarterly

Version

1.0.0

Modified

08/10/2024

Distribution release date

24/10/2023

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

26/12/2016

End date

28/12/2021

Time lag

Less than 1 week

Geographic coverage

United Kingdom, England, West Midlands

Minimum age range

18

Maximum age range

150

Follow-up

0 - 6 Months

Accessibility

Language

en

Alignment with standardised data models

LOCAL

Controlled vocabulary

SNOMED CT, ICD10, OPCS4

Format

SQL

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.

Jurisdiction

GB-ENG

Data use limitation

General research use

Data use requirements

Project-specific restrictions

Data Controller

University Hospitals Birmingham NHS Foundation Trust

Dataset Types: Health and disease, Measurements/Tests

Dataset Sub-types: Cardiovascular


Collection Sources: Secondary care - Accident and Emergency

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