QResearch

QStroke

Title

Derivation and validation of the QStroke algorithm to predict the risk of ischaemic stroke

What is the aim of the study and why is it important?

QStroke is a risk prediction algorithm which calculates an individual’s risk of ischaemic stroke taking account of their individual risk factors such as age, sex, ethnicity, clinical values and diagnoses. Ischaemic stroke is identified according to clinical codes recorded on the primary care record or the linked mortality or hospital record. The research describing the derivation and validation of the algorithm has been published in the BMC. QStroke is used to quantify an individual’s risk of stroke in order to prioritise and inform decisions regarding interventions to lower risk. It is updated regularly to ensure the algorithms remain calibrated to the current population since the incidence of disease and the prevalence of risk factors changes over time. The updates also enable the algorithm to take account of improvements to data quality (for example increases in the completeness of recording of risk factors such as ethnicity or laboratory values) and also allows adaptations to any changes which might be required to improve the predictive power of the tool or the population to which is applied.

Chief Investigator

Julia Hippisley-Cox

Location of research

Oxford

Date on which research approved

01-Feb-2012

Project reference ID

Q108

Are all data accessed are in anonymised form?

Yes

Brief summary of the dataset to be released (including any sensitive data)

Risk factors for ischaemic stroke linked to outcomes recorded on GP, hospital or mortality records

Funding Source

No external funding

Research Team

Professor Julia Hippisley-Cox, Professor Carol Coupland, Dr Peter Brindle

Publications

  • Derivation and validation of QStroke score for predicting risk of ischaemic stroke in primary care and comparison with other risk scores: a prospective open cohort study
    Authors: Hippisley-Cox J, Coupland C, Brindle P.
    Ref: BMJ 2013;346 doi: 10.1136/bmj.f2573
    http://www.bmj.com/content/346/bmj.f2573

Press Releases

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