Frailty (mFI-5) and Age Predict Medical Complications After Posterior Lumbar Interbody Fusion in Older Adults: A

Jong-Hoon Jung1, Jong-Hwan Hong1, Ji-Ho Jung1

  • 1Department of Neurosurgery, Chonnam National University Hospital and Medical School, Gwangju 61469, Republic of Korea.

Insights

Preoperative frailty, measured by the modified Frailty Index (mFI-5), and age independently predict medical complications after posterior lumbar interbody fusion (PLIF) in older adults. An Age + mFI-5 model aids risk stratification for better patient outcomes.

Area of Science:

  • Geriatric Surgery
  • Spine Surgery Outcomes
  • Frailty Assessment

Background:

  • Older adults undergoing posterior lumbar interbody fusion (PLIF) for degenerative lumbar disease face significant risks of postoperative medical complications.
  • Accurate preoperative risk stratification is crucial for optimizing patient selection, counseling, and perioperative management in this population.
  • The five-item modified Frailty Index (mFI-5) is a potential tool for assessing frailty, but its prognostic utility in PLIF requires evaluation.

Purpose of the Study:

  • To assess the prognostic value of the mFI-5 for predicting postoperative medical complications (CxME) in elderly patients undergoing PLIF.
  • To develop and validate an interpretable preoperative risk model for CxME following PLIF.
  • To identify key predictors of postoperative medical complications in this patient cohort.

Main Methods:

  • Retrospective review of 255 patients aged ≥65 years who underwent PLIF for lumbar spondylosis.
  • Data collected included demographics, comorbidities, ASA physical status, and operative variables.
  • Medical complications (CxME) were defined as Clavien-Dindo grade ≥ II. The mFI-5 was calculated, and multivariable logistic regression identified predictors of CxME. An Age + mFI-5 model was developed.

Main Results:

  • Of 255 patients, 53 (20.8%) experienced CxME. Older age and higher mFI-5 scores were significantly associated with increased complication rates.
  • Independent predictors of CxME were older age (OR 1.133) and higher mFI-5 scores (OR 2.103).
  • The developed Age + mFI-5 model demonstrated fair discrimination (optimism-corrected AUC 0.734).

Conclusions:

  • Preoperative frailty (mFI-5) and age are independent predictors of postoperative medical complications after PLIF in older adults.
  • The Age + mFI-5 risk model provides a valuable tool for stratifying patient risk.
  • This model can enhance preoperative counseling and guide perioperative optimization strategies for elderly patients undergoing PLIF.