Bookmarks
Longitudinal C-reactive protein concentrations in COVID-19: an OMOP dataset
Population Size
4,790
People
Years
2019 - 2021
Associated BioSamples
None/not available
Geographic coverage
United Kingdom
England
Lead time
1-2 months
Summary
Documentation
C-reactive protein (CRP) is the classical acute-phase protein produced by the liver at rates regulated by pro-inflammatory cytokines, notably IL-6. Acute phase CRP production is non-specific but generally reflects the extent and severity of whatever infective, inflammatory, traumatic and neoplastic conditions have triggered it (Pepys, M. B. & Hirschfield, G. M. J. Clin. Invest. 111, 1805-1812 (2003). CRP binds specifically to dead or dying cells and then activates complement, leading to enhanced inflammation and exacerbation of pre-existing tissue damage (Griselli, M. et al. J. Exp. Med. 190, 1733-1739 (1999). Large amounts of CRP in the blood can also increase damage to tissues that are already injured. CRP may thus contribute to disease severity and death in COVID-19.
Circulating CRP values in COVID-19 patients are closely associated with disease activity, severity and outcome (for example: L. Yan et al. (2020) https://doi.org/10.1038/s42256-020-0180-7). However, the published studies are of moderate size with only one or few CRP measurements per patient.
In this OMOP dataset, we present longitudinal CRP measurements for a cohort of over 4500 hospitalised COVID-19 patients, from admission to discharge, including severity of disease, co-morbidities, treatments given, complications, ITU admissions and patient outcomes.
PIONEER geography: The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix.
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 hospitalised patients admitted to Queen Elizabeth Hospital, Birmingham with positive SARS-Cov2 tests reported, transformed into an extended set of tables based on OMOP. The dataset includes highly granular patient demographics & co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to process of care including timings, admissions, escalation of care to ITU, discharge outcomes, physiology readings (heart rate, blood pressure, AVPU score and others), blood results (especially C-Reactive Protein (CRP) measurements) and drug prescribing and administration data.
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
Dataset sub-type
Dataset population size
Keywords
Observations
Observed Node | Disambiguating Description | Measured Value | Measured Property | Observation Date |
---|---|---|---|---|
Persons | 4,790 distinct patients with CRP COVID visits between 23/12/2019 and 29/07/2021 | 4790 | Count | 09 Dec 2021 |
Provenance
Purpose of dataset collection
Source of data extraction
Collection source setting
Patient pathway description
Image contrast
Biological sample availability
Structural Metadata
Details
Publishing frequency
Version
Modified
08/10/2024
Distribution release date
09/12/2021
Citation Requirements
Coverage
Start date
23/12/2019
End date
28/07/2021
Time lag
Geographic coverage
Minimum age range
Maximum age range
Follow-up
Accessibility
Language
Alignment with standardised data models
Controlled vocabulary
Format
Data Access Request
Dataset pipeline status
Time to dataset access
Access request cost
Access method category
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
Data use limitation
Data use requirements
Data Controller