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The impact of hospitalised patients with COPD: from admission to outcome

Population Size

26,003

People

Years

2015 - 2020

Associated BioSamples

None/not available

Geographic coverage

United Kingdom

England

Lead time

Not applicable

Summary

Patients admitted with a COPD related event. Granular care pathways. Multi-morbidity, investigations, interventions and treatments. Serial physiology, blood biomarkers, physiotherapy, outcome. Deeply phenotyped.

Documentation

The impact of hospitalised patients with COPD: from admission to outcome

Dataset 13.0

Background. Chronic obstructive pulmonary disease (COPD) is a debilitating lung condition characterised by progressive lung function limitation. COPD is an umbrella term and encompasses a spectrum of pathophysiologies including chronic bronchitis, small airways disease and emphysema. COPD caused an estimated 3 million deaths worldwide in 2016, and is estimated to be the third leading cause of death worldwide. People with COPD experience flares in their symptoms, termed exacerbations. Exacerbations are associated with increased mortality, morbidity, a faster decline in lung function and other systemic illness such as heart attacks and strokes. Despite this impact, COPD exacerbations are poorly characterised and have been without novel treatments for >30 years.

PIONEER geography The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix. There is a higher than average percentage of minority ethnic groups. The West Midlands has a high prevalence of COPD, reflecting the high rates of smoking and industrial exposure. Each day >100, 000 people are treated in hospital, see their GP or are cared for by the NHS.

EHR. University Hospitals Birmingham NHS Foundation Trust (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 & 100 ITU 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: All hospitalised patients admitted to UHB with an exacerbation of COPD from Jan 2000 - 2021. Longitudinal & individually linked, so that the preceding & subsequent health journey can be mapped & healthcare utilisation prior to & after admission understood. The dataset includes ICD-10 & SNOMED-CT codes pertaining to COPD and COPD exacerbations, as well as all co-morbid conditions. Serial, structured data pertaining to process of care (timings, staff grades, specialty review, wards), presenting complaint, all physiology readings (pulse, blood pressure, respiratory rate, oxygen saturations), all blood results, microbiology, all prescribed & administered treatments (NIV, nebulisers, antibiotics), all outcomes. Linked images available (radiographs, CT).

Available supplementary data: Ambulance, 111, 999 data, synthetic data. Non-COPD “controls”

Available supplementary support: Analytics, Model build, validation & refinement A.I. Data partner support for ETL (extract, transform & load) process, Clinical expertise, Patient & end-user accs, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.

Dataset type
Health and disease, Treatments/Interventions
Dataset sub-type
Respiratory
Dataset population size
26,003

Keywords

COPD, chronic bronchitis, emphysema, NHS, acute, exacerbation, COVID, pneumonia, pneumonitis, NEWS2, deterioration, alert, SEWS, nebuliser, prednisolone, steroids, corticosteriods, oxygen, non-invasive ventilation, patient, acute hospitals, inpatient, ethnicity, multimorbidity, blood, biomarkers, physiology, demographics, treatments, therapies, interventions, outcomes, death, longitudinal, vital signs

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Persons

26003 spells in dataset from 01.01.2015 to 17.11.2020

26003

Count

21 Dec 2020

Provenance

Purpose of dataset collection
Care
Source of data extraction
EPR
Collection source setting
Secondary care - In-patients
Patient pathway description
The West Midlands (WM) has a population of 5.9million & includes a diverse ethnic, socio-economic mix. There is a higher than average percentage of minority ethnic groups with Birmingham having a population which is >40% non-white. WM has a large number of elderly residents. There is social deprivation and Birmingham’s population suffers with particularly high rates of COPD as well as high rates of physical inactivity, obesity, smoking, hypertension, ischaemic heart disease & diabetes. There are also high levels of rare diseases, especially immunometabolic conditions. The patients included in this dataset are representative of this diverse population and also include a wide age-range. University Hospitals Birmingham NHS Foundation Trust (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 & 100 ITU 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”. This dataset includes the patient journey from admission to hospital to outcome for patients with known COPD or where a diagnosis of COPD was made or suspected on admission. The data includes granular demography and co-morbidity, presenting symptoms and diagnoses, serial physiology and blood biomarkers, all investigations, all prescribed and administered treatments and outcomes. It can be supplemented with preceding and following health care contacts, to understand the risk for the acute admission and the subsequent impact on health after discharge. Although primarily secondary care, this dataset can be supplemented with ambulance and primary care data on request. PIONEER can also offer synthetic data, images and access to a secure Trusted Research Environment for analytics and AI. PIONEER can assist with 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.
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

21/12/2020

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

01/01/2015

End date

17/11/2020

Time lag
Other
Geographic coverage
United Kingdom, England, West Midlands
Minimum age range
15
Maximum age range
110
Follow-up
Other

Accessibility

Language
en
Alignment with standardised data models
LOCAL
Controlled vocabulary
OPCS4, SNOMED CT, ICD10
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.

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, Treatments/Interventions

Dataset Sub-types: Respiratory


Collection Sources: No collection sources listed