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A novel predictive model for postoperative delirium using multiple geriatric screening factors.

Shugo Yajima1, Yasukazu Nakanishi1, Motokazu Sugimoto2

  • 1Department of Urology, National Cancer Center Hospital East, Chiba, Japan.

Journal of Surgical Oncology
|January 25, 2023
PubMed
Summary

A new composite score effectively predicts postoperative delirium (POD) in major urological cancer surgery patients. This score combines mini-cognitive assessment instrument (Mini-Cog) results, medication responsibility, and benzodiazepine use for accurate risk assessment.

Keywords:
Mini-Cogelderly patientspostoperative deliriumrisk factorsurological surgery

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Area of Science:

  • Geriatric Medicine
  • Oncology
  • Anesthesiology

Background:

  • Postoperative delirium (POD) is a significant complication after major urological cancer surgery.
  • Accurate prediction of POD is crucial for patient management and resource allocation.
  • Existing predictive models may not fully capture the complexity of POD risk in this population.

Purpose of the Study:

  • To develop and validate a novel composite score for predicting postoperative delirium (POD) in patients undergoing major urological cancer surgery.
  • To identify key preoperative factors contributing to POD risk.
  • To enhance clinical decision-making for perioperative care.

Main Methods:

  • Retrospective analysis of 449 patients undergoing major urological cancer surgery (development cohort).
  • Inclusion of geriatric functional assessments: Geriatric 8, Instrumental Activities of Daily Living, and mini-cognitive assessment instrument (Mini-Cog).
  • Multivariate analysis to identify POD predictors and construct a composite score, externally validated in 92 pancreatic cancer patients.

Main Results:

  • Key predictors for POD identified: Mini-Cog score <3, medication responsibility disability, and preoperative benzodiazepine use.
  • The composite score demonstrated excellent predictive discrimination with AUC values of 0.819 (development) and 0.804 (validation).
  • Calibration plots confirmed good agreement between predicted and observed POD probabilities in both cohorts.

Conclusions:

  • A composite score integrating Mini-Cog, medication responsibility, and benzodiazepine use accurately predicts POD after major urological cancer surgery.
  • This validated score offers a valuable tool for identifying high-risk patients.
  • Improved prediction can facilitate targeted interventions to reduce POD incidence and improve surgical outcomes.