QR4 is a new cardiovascular disease (CVD) risk score developed and evaluated in 16.9 million people that has better performance than other commonly used CVD risk scores. It includes nine new risk factors associated with increased risk of developing CVD (for example, a heart attack or stroke) over the next 10 years.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Goff, D. C. Jr et al. 2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J. Am. Coll. Cardiol. 63, 2935–2959 (2014). A guideline that recommends the ASCVD score.
Hippisley-Cox, J., Coupland, C. & Brindle, P. Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study. Br. Med. J. 357, j2099 (2017). An original research paper that presents the derivation and validation of QRISK3.
SCORE2 working group & ESC Cardiovascular risk collaboration. Cardiovascular risk collaboration. SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe. Eur. Heart J. 42, 2439–2454 (2021). An original research paper that presents the derivation and validation of SCORE2.
SCORE2-OP working group and ESC Cardiovascular risk collaboration. SCORE2-OP risk prediction algorithms: estimating incident cardiovascular event risk in older persons in four geographical risk regions. Eur. Heart J. 42, 2455–2467 (2021). An original research paper that presents the derivation and validation of SCORE2 in older people.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This is a summary of: Hippisley-Cox, J. et al. Development and validation of a new algorithm for improved cardiovascular risk prediction. Nat. Med. https://doi.org/10.1038/s41591-024-02905-y (2024).
Rights and permissions
About this article
Cite this article
New risk score for cardiovascular disease with improved performance. Nat Med 30, 1255–1256 (2024). https://doi.org/10.1038/s41591-024-02906-x
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41591-024-02906-x