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Cancer and cerebrovascular events: frequency, cancer types and outcomes

Dataset
Version: 1.0.0
Cancer diagnoses before and after hospitalised cerebrovascular events. A dataset of more than 16,000 stroke patients including granular ethnicity, multi-morbidity, serial physiology, blood biomarkers, intervention and outcome data.

Summary

Citation:
Cancer and cerebrovascular events: frequency, cancer types and outcomes

Documentation

Description:
Common causes of cerebrovascular events include arrhythmias such as atrial fibrillation, damage to the small vessels of the brain termed ‘small vessel disease’, large vessel disease and haemorrhage. Anecdotally, clinicians have described an increased prevalence of newly diagnosed cancers in people presenting with cerebrovascular disease. However, there is limited information on how common cancer is associated with stroke, what types of cancers are most commonly diagnosed, and how this effects prognosis both in relation to the stroke and the cancer. Furthermore, it is unclear how people with cancer-related strokes should be treated; including if standard treatments are still beneficial or whether a more tailored approach is required. This is a highly granular dataset of >16,000 patients with a confirmed cerebrovascular event including hospital presentation, serial physiology, every treatment prescribed and administered, and outcomes for the subsequent 12 months. It differentiates patients into those with a known or newly diagnosed malignancy and those without, and cancer types can be linked to pathology staining information, if needed. PIONEER geography: The West Midlands (WM) has a population of 5.9 million and includes a diverse ethnic and socio-economic mix. 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. 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: Investigating the relationship between cancer and stroke and whether a cancer related stroke is associated with a worse clinical outcome compared with patients with non-cancer related stroke. 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, co-morbidities taken from ICD-10 and SNOMED-CT codes. Serial, structured data pertaining to process of care (timings and admissions), presenting complaint, procedures, physiology readings (blood pressure, respiratory rate, heart rate, oxygen saturations, swallow screening), Lab analysis results (blood sodium level, estimated Glomerular filtration rate (GFR), urea, albumin, cholesterol, full blood counts and others), drug administered and all outcomes. 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.
Is Part Of:
NOT APPLICABLE

Coverage

Spatial:
United Kingdom, England, West Midlands
Typical Age Range:
18-110
Follow Up:
1 - 10 YEARS
Physical Sample Availability:
NOT AVAILABLE
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:
  • ACCIDENT AND EMERGENCY
  • IN-PATIENTS
  • OUTPATIENTS

Temporal

Accrual Periodicity:
QUARTERLY
Distribution Release Date:
2021-12-20
Start Date:
2004-10-29
End Date:
2021-07-31
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:
1-2 MONTHS
Jurisdictions:
GB-ENG
Data Controller:
University Hospitals Birmingham NHS Foundation Trust
Data Processor:
NOT APPLICABLE

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:
  • ICD10
  • OPCS4
  • SNOMED CT
Conforms To:
LOCAL
Languages:
en
Formats:
SQL

Enrichment and Linkage

Derivations:
Not Available

Observations

Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Events
15,908 cancer related stroke admissions between 29/10/2004 and 31/07/2021
15908
Count
2021-12-20