Predicting cardiovascular morbidity and mortality with SCORE2 (OP) and Framingham risk estimates in combination with

Anna Tirkkonen1, Jonathan K L Mak2,3, Johan G Eriksson4,5,6

  • 1Faculty of Sport and Health Sciences and Gerontology Research Center, University of Jyväskylä, Jyväskylä, Finland.

Age and Ageing
|April 3, 2025
PubMed

Insights

Biological aging indicators can improve cardiovascular disease (CVD) risk prediction. The Rockwood Frailty Index (FI), a measure of biological aging, enhanced CVD risk assessment beyond traditional scores in middle-aged and older adults.

Area of Science:

  • Gerontology and Cardiovascular Medicine
  • Biomarkers of Aging
  • Epidemiology of Cardiovascular Disease

Background:

  • Limited research exists on biological aging (BA) indicators enhancing cardiovascular disease (CVD) risk assessment beyond established scores like Framingham Risk Score (FRS) and SCORE2/SCORE2-OP.
  • Investigating the predictive value of the Rockwood Frailty Index (FI) and leukocyte telomere length (TL) for CVD outcomes is crucial.

Purpose of the Study:

  • To determine if BA indicators (FI and TL) improve CVD risk prediction in middle-aged and older adults without prior CVD.
  • To compare the predictive accuracy of FI and TL against traditional CVD risk scores.

Main Methods:

  • Analysis of 14,118 individuals from three population-based cohorts (TwinGene, Health 2000, Helsinki Birth Cohort Study).
  • Assessment of incident CVD and CVD mortality over a 10-year follow-up period.
  • Utilized Cox regression for risk estimation and Harrell's C-index for predictive accuracy, stratifying by age (<70, 70+).

Main Results:

  • A higher FI, but not TL, was significantly associated with increased incident CVD risk (P < .05).
  • The FI improved the predictive accuracy of incident CVD when added to FRS or SCORE2/SCORE2-OP models.
  • Similar, though less consistent, findings were observed for CVD mortality across cohorts.

Conclusions:

  • Robust evidence supports that a higher baseline FI is linked to increased incident CVD risk in older adults, independent of traditional risk scores.
  • The FI enhances CVD outcome prediction beyond established risk indicators (FRS, SCORE2/SCORE2-OP).
  • The FI demonstrates satisfactory predictive accuracy even when used alone.
Abstract

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