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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

Not applicable

Summary

CRP has been identified as a biomarker of importance in COVID. This OMOP dataset features highly granular health data from over 4500 patients with hospitalised COVID-19, including oxygen support and treatments given.

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
Health and disease, Measurements/Tests
Dataset sub-type
Respiratory
Dataset population size
4,790

Keywords

C-reactive proteins, CRP, Precision medicine, COVID-19, Acute, Prognosis, CRP Inhibition, Hospitalisation, Co-Morbidities, multimorbidity, age, Ethnicity, social deprivation, intensive care admission, ventilation, NEWS2, acuity, heart rate, blood pressure, temperature, medications, routes, ICD10 codes, OMOP, symptoms, severity, oxygenation, pulse oximetry, arterial blood gas, treatments, Mortality, DNR status, Outcomes

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
Care
Source of data extraction
EPR
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.
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

09/12/2021

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

23/12/2019

End date

28/07/2021

Time lag
Other
Geographic coverage
United Kingdom, England, West Midlands
Minimum age range
18
Maximum age range
105
Follow-up
Other

Accessibility

Language
en
Alignment with standardised data models
LOCAL
Controlled vocabulary
SNOMED CT
Format
SQL

Data Access Request

Dataset pipeline status
Available
Time to dataset access
Not applicable
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: Respiratory


Collection Sources: No collection sources listed