Including measures of chronic kidney disease to improve cardiovascular risk prediction by SCORE2 and SCORE2-OP

Kunihiro Matsushita1, Stephen Kaptoge2, Steven H J Hageman3

  • 1Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Insights

New add-on tools incorporating chronic kidney disease (CKD) measures significantly improve cardiovascular disease (CVD) risk prediction for patients, enhancing current risk algorithms like SCORE2 and SCORE2-OP.

Area of Science:

  • Cardiology
  • Nephrology
  • Public Health

Background:

  • The 2021 European Society of Cardiology (ESC) guideline classifies moderate to severe chronic kidney disease (CKD) as high/very-high cardiovascular disease (CVD) risk.
  • Current CVD risk algorithms (SCORE2, SCORE2-OP) do not incorporate estimated glomerular filtration rate (eGFR) or albuminuria for risk prediction.

Purpose of the Study:

  • To develop and validate 'Add-on' algorithms that integrate CKD measures (eGFR, albuminuria) into existing CVD risk prediction tools.
  • To enhance the accuracy of CVD risk stratification in patients with CKD.

Main Methods:

  • Developed three Add-ons: eGFR only, eGFR + urinary albumin-to-creatinine ratio (ACR), and eGFR + dipstick proteinuria.
  • Validated these Add-ons using C-statistics and net reclassification improvement (NRI) in large datasets (over 3 million participants for development, nearly 6 million for validation).
  • Accounted for competing risks of non-CVD mortality.

Main Results:

  • The CKD Add-ons (eGFR only, eGFR + ACR) significantly improved C-statistics for SCORE2 and SCORE2-OP in populations without and with diabetes.
  • The primary Add-on (eGFR + ACR) demonstrated notable improvements in risk prediction.
  • In European participants with CKD, SCORE2/SCORE2-OP with a CKD Add-on showed significant net reclassification improvement compared to the ESC guideline's qualitative approach.

Conclusions:

  • Add-on algorithms incorporating CKD measures substantially improve CVD risk prediction beyond existing SCORE2 and SCORE2-OP models.
  • This approach enables more precise risk assessment for individuals with CKD.
  • Facilitates personalized preventive therapy strategies for CVD in CKD patients.
Abstract

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