Stroke remains one of the leading causes of death worldwide, demanding innovative solutions to improve patient outcomes. Researchers at Ochsner Health, led by Dr. Hernan Bazan, have developed a predictive model with 93% accuracy in determining whether patients undergoing urgent carotid interventions will regain functional independence. Their study, published in the Journal of the American College of Surgeons, marks a significant advancement in stroke care.
This groundbreaking model integrates four key clinical metrics—stroke severity, frailty risk score, intervention timing, and thrombolysis use—into a real-time decision-making tool. By leveraging these variables, physicians can refine treatment plans, optimize surgical timing, and enhance patient selection for complex procedures.
Dr. Bazan emphasizes the importance of data-driven insights in stroke management, highlighting the integration of a frailty risk score into electronic medical records. This approach enables clinicians to proactively determine the best course of action for each patient, aligning with value-based care and age-friendly health initiatives set by the Centers for Medicare & Medicaid Services (CMS).
By incorporating this model into routine practice, Ochsner Health is equipping medical teams with the tools to anticipate recovery potential with greater precision. As Dr. Leo Seoane, Chief Academic Officer at Ochsner, explains, “This innovation ensures that every patient receives the most appropriate care, furthering our commitment to excellence in stroke treatment.”
With its ability to enhance both immediate recovery and long-term quality of life, this predictive model represents a significant step forward in personalized, data-driven stroke care.
Article written by Ochsner Health
28/01/2025
Source:
Ochsner Health