HDR Gateway logo
HDR Gateway logo

Bookmarks

Deeply phenotyped sepsis patients within hospital: onset, treatments & outcomes

Population Size

7,127

People

Years

2018 - 2020

Associated BioSamples

None/not available

Geographic coverage

United Kingdom

England

Lead time

Not applicable

Summary

Hospitalised sepsis patients (2000-2020) by cause. Deeply phenotyped, longitudinal. Granular ethnicity and multi-morbidity. Serial acuity, physiology, blood parameters, treatments, interventions, ITU spells, outcomes, pre and post sepsis healthcare.

Documentation

Deeply phenotyped sepsis patients within hospital: onset, treatments & outcomes

Sepsis is life-threatening organ dysfunction due to a dysregulated host response to infection & is a global health challenge. In 2017, 48•9 million incident cases of sepsis were recorded worldwide with 11million sepsis-related deaths, representing 19•7% of all global deaths. There are >123, 000 sepsis cases diagnosed in Engl& each year with an estimated 36, 800 sepsis-associated deaths. Sepsis is treatable, & timely, targeted interventions improve outcomes. The World Health Assembly identified sepsis as a global health priority.

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. Birmingham has the highest birth rate in England. It also has the highest infant mortality rate. WM life expectancy is 1.8 years less than in London. There are particularly high rates of physical inactivity, obesity, smoking & diabetes. 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 to UHB from 2000 – current day. Updated monthly. Longitudinal & individually linked, so that the preceding & subsequent health journey can be mapped & healthcare utilisation prior to & after sepsis understood. The dataset includes ICD-10 & SNOMED-CT codes pertaining to sepsis & suspected sepsis. 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, antibiotics, inotropes, vasopressors, organ support), all outcomes. Linked images available (radiographs, CT, MRI, ultrasound). Includes COVID-19 wave 1 and wave 2 data.

Available supplementary data: Matched “non-sepsis” controls 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
Immunity
Dataset population size
7,127

Keywords

Sepsis, Infection, NHS, Acute, immune system, life-threatening, septicaemia, blood-poisoning, MOF, organ failure, respiratory tract, pneumonia, urinary tract, hepatobiliary, central nervous system, cellulitis, osteomyelitus, endocarditis, viral, bacterial, fungal, blood biomarkers, microbiology, treatments, antibiotics, physiology, serial readings, outcomes, intensive care, death, discharge, length of stay, multi-morbidity, COVID-19, wave 1, wave 2

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Persons

7127 patient spells at the current timeline (2018- 19/11/2020) but all data from 2000 onwards can be extracted

7127

count

19 Nov 2020

Provenance

Purpose of dataset collection
Other
Source of data extraction
EPR
Collection source setting
Secondary care - In-patients
Patient pathway description
Data focuses on in-patient stay in hospital during the sepsis 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

19/11/2020

Citation Requirements
"This work was supported by PIONEER, the Health Data Research Hub in acute care". If publishing using PIONEER overarching ethics, state "This research was conducted under the ethical approvals of PIONEER, a Health data research hub in acute care (East Midlands – Derby Research ethics committee, reference 20/EM/0158)".

Coverage

Start date

01/01/2018

End date

19/11/2020

Time lag
Less than 1 week
Geographic coverage
United Kingdom, England, West Midlands
Maximum age range
110
Follow-up
Other

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
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: Immunity


Collection Sources: No collection sources listed