Version: 1.0.0 | Published: 8 Oct 2024 | Updated: 229 days ago
Documentation
Description:
Cholecystectomy is a common surgical procedure to remove the gall bladder, with over 1.2 million procedures performed in the USA each year. The most common indication is recurrent gall stones. The main operative incidents are haemorrhage, iatrogenic perforation of the gallbladder, and common bile duct (CBD) injuries. The main post-operative complications are sepsis, sub-hepatic abscess, haemorrhage, bile leakage and retained bile duct stones, with sepsis the most common post-operative complications.
Sepsis post-surgery is costly to the individual, associated with a reduced quality of life, increased length of stay, pain, loss of function and mortality. Although risk factors for developing sepsis are recognised, these cannot be applied at an individual level, making it difficult to predict who might develop sepsis, in order to implement mitigation strategies.
This dataset includes 9,400 individual surgical cases for cholecystectomy, including both elective and emergency surgery. The data includes detailed patient demography, measures of socio-economic deprivation, co-morbidities, the surgical indication, all physiological and pathological measurements, the surgery performed, anaesthetic used, medications given, complications and outcomes.
PIONEER geography: The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix.
Electronic Health Record: 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 that had an emergency or elective Cholecystectomy procedure during their hospital stay. 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 process of care (timings, admissions, wards), presenting complaint, physiology readings (e.g. heart rate, blood pressure, respiratory rate, NEWS2 score and oxygen saturations), Lab analysis results (Alanine Transferase, albumin, EGFR, Creatine Kinase, White Blood Cells and others), microbiology results, surgery, medications, complications and all outcomes.
Available supplementary data: Matched controls; ambulance, OMOP 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.
Coverage
Spatial:
United Kingdom,England,West Midlands
Typical Age Range:
18-93
Follow Up:
Other
Pathway:
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.
Provenance
Origin
Purposes:
Care
Sources:
EPR
Collection Situations:
- Secondary care - In-patients
- Secondary care - Accident and Emergency
Temporal
Accrual Periodicity:
Quarterly
Distribution Release Date:
06 December 2021
Start Date:
25 February 2004
End Date:
29 July 2021
Time Lag:
Other
Accessibility
Access
Access Service:
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.
Access Request Cost:
www.pioneerdatahub.co.uk/data/data-services-costs/
Delivery Lead Time:
Not applicable
Jurisdictions:
GB-ENG
Data Controller:
University Hospitals Birmingham NHS Foundation Trust
Usage
Data Use Limitations:
General research use
Data Use Requirements:
Project-specific restrictions
Resource Creators:
This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158)
Format and Standards
Vocabulary Encoding Schemes:
- SNOMED CT
- ICD10
- OPCS4
Conforms To:
LOCAL
Languages:
en
Formats:
SQL
Observations
Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Persons
9,485 elective and emergency admissions with Cholecystectomy procedures
9485
Count
06 December 2021