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[Evolution of cardiovascular risk stratification].

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Cardiovascular risk stratification is evolving from static to dynamic, personalized models. New tools and biomarkers enable earlier, targeted prevention for better long-term outcomes.

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Area of Science:

  • Cardiology
  • Preventive Medicine
  • Medical Informatics

Background:

  • Cardiovascular disease prevention relies heavily on risk stratification.
  • Traditional risk assessment models are being updated to reflect new data and approaches.
  • Personalized medicine is transforming cardiovascular risk management.

Purpose of the Study:

  • To describe the shift in cardiovascular risk stratification from static to dynamic and personalized models.
  • To highlight the role of new tools and technologies in improving risk assessment.
  • To emphasize the move towards a continuous concept of risk stratification.

Main Methods:

  • Utilizing updated risk assessment tools like SCORE2, SCORE2-OP, SCORE2-Diabetes, and SMART2.
  • Incorporating clinical, demographic, and geographic variables for risk estimation.
  • Employing advanced non-invasive imaging (e.g., coronary artery calcium scoring) and biomarkers for early risk detection.

Main Results:

  • Newer models provide more accurate, context-specific absolute cardiovascular risk estimations.
  • Advanced techniques identify 'hidden' risks in apparently healthy individuals.
  • The integration of diverse data allows for more refined and timely risk assessment.

Conclusions:

  • Cardiovascular risk stratification is becoming more dynamic, integrated, and personalized.
  • Earlier and targeted preventive strategies are enabled by refined risk assessment.
  • Improved risk stratification leads to reduced cardiovascular events and better long-term outcomes.