Absolute coronary risk analyser--a tool for managing coronary heart disease risk

P P B Mitrabasu1, J S Shahapurkar, T P Sreekumar

  • 1Defence Bioengineering & Electromedical Laboratory (DEBEL), Government of India-Ministry of Defence Research & Development Organisation P. B. 9326.

Insights

A new coronary risk analyser software has been developed to accurately calculate an individual's absolute coronary risk. This tool aids in effective coronary risk management and preventive cardiology.

Area of Science:

  • Cardiology
  • Medical Informatics
  • Preventive Medicine

Background:

  • Coronary heart disease remains a leading cause of mortality worldwide.
  • Accurate assessment of absolute coronary risk is crucial for effective risk management.
  • Existing methods may lack the sensitivity and specificity required for comprehensive risk evaluation.

Purpose of the Study:

  • To develop a reliable coronary risk analyser for calculating absolute coronary risk.
  • To create a software tool for personalized coronary risk management.
  • To enhance the field of preventive cardiology through advanced risk assessment.

Main Methods:

  • Extensive literature review to identify optimal risk calculation methodologies.
  • Adoption of Joint British recommendations, derived from the Framingham Heart Study, for high sensitivity and specificity.
  • Development of a Windows-based software application using Visual Basic programming language.

Main Results:

  • The developed software accurately calculates absolute coronary risk over 2, 5, or 10-year periods.
  • The system effectively stores patient data for longitudinal monitoring.
  • The coronary risk analyser is easily installable on standard PC configurations.

Conclusions:

  • The DEBEL-developed coronary risk analyser provides an effective tool for calculating and managing individual absolute coronary risk.
  • The software supports preventive cardiology by enabling proactive patient management.
  • This tool facilitates informed decision-making in cardiovascular risk reduction strategies.
Abstract

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