Observational analysis identifies significant predictors of venous thromboembolism in breast cancer, highlighting the need for tailored risk assessment models.
Key Points
The developed risk assessment model identifies breast cancer patients at high risk for venous thromboembolism.
Significant predictors include Ki-67 and fibrinogen, with a model c-statistics of 0.78 indicating strong predictive ability.
Cohort study involved 189 patients monitored for venous thromboembolism and mortality outcomes over one year.
The newly developed model enables personalized thromboprophylaxis strategies, emphasizing its potential clinical application.