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Coagulopathies & arterial/venous thrombosis in COVID patients: an OMOP dataset

Population Size

50,899

People

Population Size statistic card

Years

2020 - 2020

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

Hosp patients admitted during COVID pandemic with coagulopathies including venous thromboembolic events & bleeds. Granular condition, multi-morbidity, interventions & treatments. Serial physiology, blood biomarkers, ITU spells, outcome. Deeply phenotyped.

Documentation

In December 2019, the first case of severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) was described and by March 2020, the World Health Organization had declared the disease (Coronavirus disease 2019, COVID-19) a pandemic. Whilst respiratory symptoms are the fundamental feature of the disease, evidence indicates that the disease is associated with coagulation dysfunction which predisposes patients to an increased risk of both venous and arterial thromboembolism (TE) and potentially increased mortality risk as a consequence. Biomarkers associated with TE (D-dimers) are often raised in people with COVID but without clear evidence of TE. It is important to understand who is at most risk of TE, to manage disease effectively. This dataset (in OMOP) describes patients with and without COVID who were admitted to UHB including all those with and without TE.

PIONEER geography The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix. Birmingham was hard hit by all COVID waves and University Hospitals Birmingham NHS Foundation Trust (UHB) had >8000 COVID admissions by the end of December 2020.

EHR. 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: All patients admitted during the first wave of the COVID-19, both with and without COVID. The dataset includes highly granular patient demographics & co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to acute care process (timings, staff grades, specialty review, wards), presenting complaint, SARS-CoV-2 swab result, diagnosis of TE, clotting parameters, D-Dimers, acuity, all physiology readings (pulse, blood pressure, respiratory rate, oxygen saturations), all blood results, imaging reports, all prescribed & administered treatments (fluids, antibiotics, inotropes, vasopressors, organ support), all outcomes.

Available supplementary data: Matched controls; ambulance, 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.

Dataset type

Health and disease, Treatments/Interventions

Dataset sub-type

Cardiovascular

Dataset population size

50899

Keywords

Observations

Observed Node

Disambiguating Description

Measured Value

Measured Property

Observation Date

Persons

50,899 patients including Coagulopathy and Non-Coagulopathy control group.

50899

Count

09 Dec 2020

Provenance

Purpose of dataset collection

Other

Source of data extraction

EPR

Collection source setting

Secondary care - Outpatients, Secondary care - In-patients, Community

Patient pathway description

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. Data includes those with and without COVID admitted during the first wave of the COVID pandemic.

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

11/08/2020

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

01/01/2020

End date

08/09/2020

Time lag

Less than 1 week

Geographic coverage

United Kingdom, England, West Midlands

Minimum age range

18

Maximum age range

110

Follow-up

0 - 6 Months

Accessibility

Language

en

Alignment with standardised data models

OMOP

Controlled vocabulary

SNOMED CT, ICD10

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.

Data use limitation

Research use only

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 - Outpatients, Secondary care - In-patients, Community

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