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.