Risk Analysis Index as a preoperative frailty tool for elective ventriculoperitoneal shunt surgery for idiopathic

Evan Courville1,2, Kavelin Rumalla1,2, Syed Faraz Kazim1,2

  • 11Department of Neurosurgery, University of New Mexico Hospital, Albuquerque; and.

PubMed

Insights

Frailty assessment using the Risk Analysis Index (RAI) can predict adverse outcomes in older patients undergoing ventriculoperitoneal shunt (VPS) surgery for idiopathic normal pressure hydrocephalus (iNPH). Higher RAI scores correlate with increased complications, nonhome discharge, and mortality.

Area of Science:

  • Neurosurgery
  • Geriatric Medicine
  • Health Services Research

Background:

  • Idiopathic normal pressure hydrocephalus (iNPH) primarily affects elderly individuals, with ventriculoperitoneal shunt (VPS) surgery being the standard treatment.
  • VPS surgery is associated with significant postoperative complications, posing risks for frail or high-risk patients.
  • Preoperative risk stratification is crucial for optimizing surgical outcomes in this population.

Purpose of the Study:

  • To investigate the utility of frailty scoring for predicting adverse events in iNPH patients undergoing elective VPS placement.
  • To compare the predictive accuracy of the Risk Analysis Index (RAI) and the modified 5-item Frailty Index (mFI-5) for postoperative outcomes.

Main Methods:

  • Analysis of the Nationwide Readmissions Database (NRD) from 2018-2019 for iNPH patients aged 60 years and older who underwent VPS surgery.
  • Calculation of RAI and mFI-5 scores, with subsequent cross-tabulation to assess associations with overall complications, nonhome discharge (NHD), extended length of stay (eLOS), and mortality.
  • Receiver operating characteristic (ROC) curve analysis to evaluate the discriminatory accuracy of RAI and mFI-5.

Main Results:

  • A total of 9319 patients were included, with 7.4% readmissions, 6.4% perioperative complications, and 1.0% mortality.
  • Increasing RAI scores demonstrated a significant association with higher rates of postoperative complications and adverse outcomes.
  • The RAI showed statistically superior discriminatory accuracy compared to mFI-5 for predicting mortality, NHD, and eLOS, with C-statistics > 0.60 for 30-day mortality.

Conclusions:

  • Elevated frailty, as measured by RAI, is linked to increased rates of nonhome discharge, 30-day mortality, unplanned readmissions, extended length of stay, and postoperative complications in iNPH patients.
  • The RAI demonstrates greater predictive utility than mFI-5 for key adverse outcomes in this cohort.
  • While RAI is valuable, consideration of potentially reversible clinical factors is essential to avoid overestimating risk and ensure accurate frailty assessment.
Abstract