Modified Frailty Index (mFI) predicts 30-day complications after microsurgical breast reconstruction

Barkat Ali1, EunHo E Choi2, Venus Barlas3

  • 1Department of Surgery, Division of Plastic and Reconstructive Surgery, University of New Mexico Health Sciences Center, Albuquerque, NM, USA.

Insights

The modified Frailty Index (mFI) effectively predicts 30-day complications in microsurgical breast reconstruction patients. This simple tool helps surgeons identify high-risk individuals before surgery.

Area of Science:

  • Plastic Surgery
  • Surgical Outcomes
  • Geriatric Medicine

Background:

  • Frailty is a significant factor in surgical outcomes but lacks a universal definition.
  • The modified Frailty Index (mFI), based on patient comorbidities, offers a quantifiable measure of frailty.
  • Predicting postoperative complications is crucial for optimizing patient care in microsurgical breast reconstruction.

Purpose of the Study:

  • To investigate the predictive value of the modified Frailty Index (mFI) for 30-day postoperative complications following microsurgical breast reconstruction.
  • To compare the predictive accuracy of mFI against other established risk indices.

Main Methods:

  • Utilized the American College of Surgeons' (ACS) National Surgical Quality Improvement Program (NSQIP) database (2005-2014).
  • Identified patients undergoing microsurgical breast reconstruction (CPT code 19364).
  • Calculated mFI based on preoperative comorbidities and performed regression and Receiver Operating Characteristic (ROC) curve analyses.

Main Results:

  • A total of 3237 patients were analyzed, with 24% experiencing 30-day complications.
  • Higher mFI scores were significantly associated with increased odds of complications (e.g., score 1: OR 22.1, score 2: OR 28).
  • The mFI demonstrated the highest predictive accuracy (c-score = 0.816) compared to other risk indices.

Conclusions:

  • The modified Frailty Index (mFI) is a reliable and objective tool for predicting 30-day complications after microsurgical breast reconstruction.
  • Preoperative identification of high-risk patients using mFI can guide surgical decision-making and patient management.
  • mFI enhances risk stratification in plastic surgery, particularly for complex reconstructive procedures.

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