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Hospitalised and ventilator acquired pneumonia severity, treatments, outcomes

Population Size

60,283

People

Years

2000 - 2021

Associated BioSamples

None/not available

Geographic coverage

United Kingdom

England

Lead time

1-2 months

Summary

Patients with hospital and ventilator acquired pneumonia (HAP) from 2000 to date. Granular care pathways. Multi-morbidity, investigations, interventions and treatments. Serial physiology, blood biomarkers, outcome data. Deeply phenotyped. Large cohort.

Documentation

Background: Hospital-Acquired pneumonia (HAP) and Ventilator-Associated pneumonia is an infection of the lungs that is contracted by a patient 2 or more days after an admission. HAP is often more serious than other lung infections due to the nature of the bacteria present in hospital settings, as they are more resistant to treatment than those in the community. HAP typically affects older patients with co-morbidities, those with weakened immune systems or a long-term chronic lung disease. Ventilator-Associated pneumonia is the most common infection associated with a stay in intensive care, with increased long-term mortality and length of stays. These data allow the investigation of the sensitivities of the bacteria, which antibiotics were administered and patient outcomes. The period of data available allows for studying pre- and post- COVID-19 and the impact of ventilation.
PIONEER geography: The West Midlands (WM) has a population of 5.9 million and includes a diverse ethnic and socio-economic mix. EHR: UHB is one of the largest NHS Trusts in England, providing direct acute services and specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds and an expanded 250 ITU bed capacity during COVID. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary and secondary care record (Your Care Connected) and a patient portal “My Health”. Scope: All hospitalised patients from 2000 onwards, curated to focus on Hospital and ventilator acquired pneumonia. Longitudinal and individually linked, so that the preceding and subsequent health journey can be mapped and healthcare utilisation prior to and after admission understood. The dataset includes highly granular patient demographics and co-morbidities taken from ICD-10 and SNOMED-CT codes. Serial, structured data pertaining to acute care process (timings, staff grades, specialty review, wards and triage). Along with presenting complaints, outpatients admissions, microbiology results, referrals, procedures, therapies, all physiology readings (pulse, blood pressure, respiratory rate, oxygen saturations and others), and all blood results(urea, albumin, platelets, white blood cells and others). Includes all prescribed and administered treatments and all outcomes. Linked images are also available (radiographs, CT scans, MRI). Available supplementary data: Matched controls; ambulance, OMOP data, synthetic data. Available supplementary support: Analytics, Model build, validation and refinement; A.I.; Data partner support for ETL (extract, transform and load) process, Clinical expertise, Patient and 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
60283

Keywords

Hospital acquired pneumonia, Ventilator associated pneumonia, COVID-19, Older adults, age, socioeconomic status, Epidemiology, HAP, Mortality, White cell counts, neutrophil counts, CRP, Hospital Admissions, severity, Oxygenation, mortality, morbidity, ITU, antibiotics, bacteria, length of stay, NEWS2, acuity, leukopenia, sputum, nosociomial pneumonia, trachiotomy, intubation

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Persons

60,283 patient admissions with Hospital acquired pneumonia between 01-01-2000 and 31-12-2021

60283

Count

09 Mar 2022

Provenance

Purpose of dataset collection
Care
Source of data extraction
EPR
Collection source setting
Secondary care - Accident and Emergency, 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

09/03/2022

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

01/01/2000

End date

31/12/2021

Time lag
Other
Geographic coverage
United Kingdom, England, West Midlands
Maximum age range
113
Follow-up
Other

Accessibility

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

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, Treatments/Interventions

Dataset Sub-types: Respiratory


Collection Sources: Secondary care - Accident and Emergency, Secondary care - In-patients