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Prognostic Role of the Modified Frailty Index in Octogenarians Undergoing Minimally Invasive Aortic Valve Replacement
Beatrice Bacchi1, Francesco Cabrucci2, Dario Petrone1
1Cardiac Surgery Unit, Department of Experimental and Clinical Medicine, University of Florence, 50121 Firenze, Italy.
The modified Frailty Index (mFI) accurately predicts outcomes in elderly patients undergoing minimally invasive aortic valve replacement (AVR). A higher mFI score indicates increased risk for mortality and complications, aiding surgical decisions.
Area of Science:
- Cardiology
- Geriatric Surgery
- Health Outcomes Research
Background:
- Frailty is a critical factor influencing surgical risk in elderly patients.
- Aortic valve replacement (AVR) in octogenarians requires precise risk stratification.
- Minimally invasive AVR offers benefits but necessitates careful patient selection.
Purpose of the Study:
- To assess the prognostic capability of the modified Frailty Index (mFI) in octogenarians undergoing minimally invasive AVR.
- To improve risk stratification and guide surgical decision-making in this vulnerable population.
- To correlate mFI with early and long-term outcomes after AVR.
Main Methods:
- Retrospective analysis of 67 patients aged ≥ 80 years undergoing isolated minimally invasive AVR.
- Preoperative calculation of the mFI using standardized clinical variables.
- Evaluation of 30-day mortality, perioperative complications, and long-term survival using ROC curves, Kaplan-Meier, and Cox regression.
Main Results:
- The mFI demonstrated strong prognostic accuracy for both mortality and complications.
- An mFI > 0.455 predicted 30-day mortality with high sensitivity and specificity (AUC = 0.888).
- An mFI > 0.273 predicted perioperative complications (AUC = 0.818), and higher scores predicted long-term mortality.
Conclusions:
- The mFI is a simple, reproducible tool for predicting outcomes in very elderly patients undergoing minimally invasive AVR.
- Integrating frailty assessment into preoperative evaluations can enhance patient selection.
- Prioritizing physiological status over chronological age may optimize surgical outcomes.
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