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The impact of COVID on hospitalised patients with COPD; a dataset in OMOP

Population Size

50,887

People

Years

2020 - 2020

Associated BioSamples

None/not available

Geographic coverage

United Kingdom

England

Lead time

1-2 months

Summary

Hospital patients admitted during the COVID pandemic with a focus on COPD. Granular condition, multi-morbidity. Serial physiology, blood biomarkers, treatments, interventions, ITU spells, outcome, pre/post admission healthcare use. Deeply phenotyped.

Documentation

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. The British Lung Foundation (BLF) estimates that the disease costs the NHS around £1.9 billion per year. COPD is therefore a significant public health challenge. This dataset explores the impact of hospitalisation in patients with COPD during the COVID pandemic.

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. WM has a large number of elderly residents but is the youngest population in the UK. There are particularly high rates of physical inactivity, obesity, smoking & diabetes. 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 during the COVID-19 pandemic first wave, curated to focus on COPD. 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 (fluids, nebulisers, antibiotics, inotropes, vasopressors, organ support), all outcomes. Linked images available (radiographs, CT).

Available supplementary data: More extensive data including wave 2 patients in non-OMOP form. Ambulance, 111, 999 data, 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
Respiratory
Dataset population size
50887

Keywords

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

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Persons

50,887 patients including COPD and non-COPD control group

50887

COUNT

08 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 COPD 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

10/09/2020

Time lag
Less than 1 week
Geographic coverage
United Kingdom, England, West Midlands
Minimum age range
18
Maximum age range
108
Follow-up
0 - 6 Months

Accessibility

Language
en
Alignment with standardised data models
LOCAL
Controlled vocabulary
SNOMED CT, ICD10
Format
SQL

Data Access Request

Dataset pipeline status
Available
Time to dataset access
1-2 months
Access method category
TRE/SDE
Access service description
Trusted Research Environment on Microsoft Azure cloud server (UK South). Creating the environment will be subject to a charge following approval of data request. The PIONEER team will work with you to ensure the relevant compute power and tooling is available to support your analytical needs.
Data use limitation
Research use only
Data use requirements
Collaboration required
Data Controller
University Hospitals Birmingham NHS Foundation Trust

Dataset Types: Health and disease, Treatments/Interventions

Dataset Sub-types: Respiratory


Collection Sources: Secondary care - Outpatients, Secondary care - In-patients, Community