Role of Frailty on Risk Stratification in Cardiac Surgery and Procedures

Samuele Baldasseroni1, Alessandra Pratesi2, Francesco Orso1

  • 1Geriatric Medicine Unit, University of Florence and Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.

Insights

The Comprehensive Geriatric Assessment (CGA) can improve predictions for older adults undergoing transcatheter aortic valve implantation (TAVI). This tool helps identify frailty and optimize treatment selection for better outcomes.

Area of Science:

  • Geriatric Medicine
  • Interventional Cardiology
  • Cardiovascular Surgery

Background:

  • Increasing number of elderly patients undergoing interventional cardiology procedures like TAVI.
  • Higher perioperative risks, mortality, and disability in older adults compared to younger patients.
  • Limitations of current specialist-oriented risk scores in capturing geriatric-specific outcomes.

Purpose of the Study:

  • To introduce the Comprehensive Geriatric Assessment (CGA) as a tool for evaluating elderly patients for interventional cardiology.
  • To improve prognostic accuracy beyond traditional outcomes, incorporating frailty-related factors.
  • To aid physicians in determining the futility of interventions and optimizing TAVI candidate selection.

Main Methods:

  • Development and application of a multidimensional diagnostic process (CGA).
  • Focus on detecting frailty and assessing geriatric-specific outcomes (delirium, cognitive decline, institutionalization, functional status).
  • Comparison with existing specialist-oriented surgical risk scores.

Main Results:

  • CGA aims to enhance the prognostic ability of current risk scores for short and long-term mortality and disability.
  • Provides clinical indications to identify futile interventional approaches.
  • Potential to optimize the selection of TAVI candidates who will maximally benefit.

Conclusions:

  • The CGA is a valuable geriatric tool for assessing frailty in older adults undergoing interventional cardiology.
  • It improves risk prediction and aids in clinical decision-making for procedures like TAVI.
  • Optimized patient selection using CGA can lead to better procedural outcomes and resource utilization.

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