QRISK3

QRISK3 calculates the 10-year risk of developing cardiovascular disease (CVD) for individual patients using the ClinRisk QRISK3 algorithm implemented in R.


Key Features:

  • Algorithm Implementation: Implements ClinRisk's QRISK3 risk prediction algorithm in R to compute individual 10-year CVD risk.
  • Validation and Transparency: Validated against the open-source QRISK3 reference implementation and the original QRISK3 SAS program to ensure concordance and reproducibility.
  • Batch Cohort Scoring: Computes QRISK3 scores for individual records and large cohorts to support population-level analyses.

Scientific Applications:

  • Risk Prediction Research: Provides a validated implementation of QRISK3 for investigations of cardiovascular risk factors and prediction performance.
  • Epidemiological Analysis: Enables assignment of QRISK3 scores across cohorts for population health studies and outcome association analyses.
  • Model Evaluation and Development: Facilitates evaluation, comparison, and refinement of CVD risk prediction models using a reproducible QRISK3 implementation.

Methodology:

The package implements the published QRISK3 risk prediction algorithm in R and was validated by comparison to the open-source QRISK3 implementation and the original QRISK3 SAS program.

Topics

Details

License:
GPL-3.0
Programming Languages:
R, SAS, C
Added:
1/14/2020
Last Updated:
12/11/2020

Operations

Publications

Li Y, Sperrin M, van Staa T. R package “QRISK3”: an unofficial research purposed implementation of ClinRisk’s QRISK3 algorithm into R. F1000Research. 2019;8:2139. doi:10.12688/f1000research.21679.1.

Links