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Semi-empirical Anticoagulation Model (SAM): Dose prediction during warfarin therapy.

Marco Bontempi1, Laura Borgese2, Andrea Visani1

  • 1SC Scienze e Tecnologie Chirurgiche, IRCCS Istituto Ortopedico Rizzoli, via di Barbiano 1/10, I-40136, Bologna, Italy.

Computers in Biology and Medicine
|March 23, 2025
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Summary

This study introduces a new warfarin dose prediction algorithm that uses patient sensitivity analysis for more accurate dosing. The enhanced algorithm improves warfarin therapy management, leading to better patient safety and quality of life.

Keywords:
ForecastINROrthopaedicTherapyWarfarin

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Area of Science:

  • Pharmacology
  • Biomedical Engineering
  • Clinical Medicine

Background:

  • Oral anticoagulant therapy management is crucial for patient quality of life.
  • Existing computerized dosing algorithms have limitations leading to inaccurate warfarin dosing.
  • Individual patient sensitivity significantly impacts warfarin response.

Purpose of the Study:

  • To propose a novel warfarin dose prediction algorithm incorporating individual patient sensitivity analysis.
  • To enhance the accuracy of warfarin dosing recommendations by accounting for patient-specific factors.
  • To improve the management of oral anticoagulant therapy for conditions like venous thromboembolism.

Main Methods:

  • Development of a warfarin dose prediction algorithm based on the Semi-empirical Anticoagulation Model (SAM) extended with stochastic process analysis.
  • Retrospective observational study involving 1796 patients over one year.
  • Comparison of algorithm-suggested warfarin doses with clinically administered doses using Percentage Bland-Altman Analysis.

Main Results:

  • The proposed algorithm demonstrated an average accuracy of (3.24±25.80)%.
  • This accuracy is significantly better than other existing algorithms in the literature, which showed an average accuracy of (5.73±60.9)%.
  • The algorithm effectively assesses the probability of events affecting the International Normalized Ratio (INR) and therapy relationship.

Conclusions:

  • The novel algorithm provides more flexible and precise warfarin dosing adjustments.
  • Improved accuracy leads to an International Normalized Ratio (INR) closer to the target range with reduced variability.
  • Enhanced warfarin management improves patient safety and quality of life for patients with venous thromboembolism.