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NT-proBNP in critically ill patients with sepsis: a NIHR Birmingham BRC Dataset

Population Size

552

People

Years

2017 - 2022

Associated BioSamples

None/not available

Geographic coverage

United Kingdom

England

Lead time

Not applicable

Summary

A National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre (BRC) dataset featuring serial NT-proBNP measurements from a diverse cohort of Intensive Care patients with sepsis, ARDS, and polytrauma.

Documentation

A dataset of 552 patients who have been cared for on ICU.

Natriuretic peptides are special proteins produced by the heart, with the two key types being BNP and NT-proBNP. NT-proBNP is particularly useful in managing heart failure and assessing the risk of heart problems. This marker is not just for heart failure studies have suggested that NT-proBNP levels during the acute phase of sepsis may be a useful indicator of higher risk of long-term impairments in physical function and muscle strength in sepsis survivors.

This dataset includes detailed demographic information, comorbidities and admission reasons and journeys for patients who have required an intensive care admission. The data includes serial physiological and blood test measurements reflecting the severity of the patient’s condition, imaging and other investigative results, treatments, and outcomes. This data is invaluable in identifying the clinical utility of NT-proBNP as a potential prognostic marker for future complications and mortality.

PIONEER geography: The West Midlands (WM) has a population of 6.2 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: Patients without chronic heart failure or acute heart failure diagnoses admitted to ICU with sepsis, acute respiratory failure (specifically ARDS) or polytrauma without severe head injury with at least one measurement of NT-proBNP at any time from 3-months pre-ICU admission to 6 months post-ICU discharge

Longitudinal & individually linked, so that the preceding & subsequent health journey can be mapped & healthcare utilisation prior to & after admission understood. The dataset includes highly granular patient demographics & co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to acute care process (timings, hospital mortality, Length of stays, readmissions), Intensive care details, primary diagnosis, SOFA score & APACHE II scores, NT-proBNP results & outcomes.

Available supplementary data: Matched controls ambulance, OMOP data, synthetic data.

Available supplementary support: PIONEER can also offer 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.

This research is supported by the National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre (BRC), specifically the Infections and Acute Care theme.

Dataset type
Health and disease, Treatments/Interventions
Dataset sub-type
Cardiovascular
Dataset population size
552

Keywords

ICU, Prognostication, Inflammation, Cardiovascular, Biomarkers, Cohort, Acute, Sepsis, ARDS, Polytrauma

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Persons

552 distinct patients admitted in ICU with sepsis, acute respiratory failure (specifically ARDS) or polytrauma without severe head injury and with at least one measurement of NT-proBNP

552

Count

01 Nov 2022

Provenance

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

17/11/2023

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

14/02/2017

End date

06/10/2022

Time lag
1-2 months
Geographic coverage
United Kingdom, England, West Midlands
Minimum age range
16
Maximum age range
100
Follow-up
1 - 10 Years

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.

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: Cardiovascular


Collection Sources: No collection sources listed