The Five-item Modified Frailty Index is Predictive of 30-day Postoperative Complications in Patients Undergoing Spine

Katherine E Pierce1, Sara Naessig1, Nicholas Kummer1

  • 1Departments of Orthopedic and Neurologic Surgery, NYU Langone Orthopedic Hospital; New York Spine Institute, New York, NY.

Spine
|June 23, 2021
PubMed
Abstract

Insights

The modified frailty index (mFI-5) effectively predicts postoperative complications and mortality in spine surgery patients. This simpler index is a valuable tool for assessing surgical risk.

Area of Science:

  • Spine Surgery Outcomes
  • Surgical Risk Assessment
  • Frailty Indices

Background:

  • The modified frailty index (mFI-11) was previously developed from the American College of Surgeons National Surgical Quality Improvement Program.
  • The mFI-5 is a modified version of the mFI-11, with fewer variables.
  • Frailty assessment is crucial for predicting surgical outcomes.

Purpose of the Study:

  • To evaluate the clinical utility of the modified frailty index with five factors (mFI-5) in patients undergoing spine surgery.
  • To compare the predictive performance of mFI-5 against the mFI-11.

Main Methods:

  • A retrospective cohort study design was employed.
  • Patients undergoing spine surgery were identified using Current Procedural Terminology codes.
  • The mFI-11 and mFI-5 were calculated, and their correlation and predictive values for adverse outcomes were assessed using Spearman rho and binary logistic regression, respectively.

Main Results:

  • A strong correlation (Spearman rho = 0.926) was found between mFI-5 and mFI-11.
  • Both indices significantly predicted unplanned readmission, postoperative complications, and mortality.
  • Increasing mFI-5 scores correlated with higher rates of morbidity and mortality.

Conclusions:

  • The mFI-5 is an effective and less cumbersome tool for predicting postoperative events in spine surgery.
  • Frailty severity, as measured by mFI-5, is associated with increased morbidity and mortality.
  • mFI-5 provides reliable prediction of post-operative complications using readily accessible variables.