Adrenalectomy outcomes predicted by a 5-item frailty index (5-iFI) in the ACS-NSQIP database

Krishna T. Ravivarapu, Evan B. Garden, Osama Al-Alao, Alexander C. Small, Michael A. Palese

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Background: Frailty has been shown to be a predictor of adverse postoperative outcomes. This study aims to evaluate a 5-item frailty index (5-iFI) as a predictor of complications as well as healthcare resource utilization (HCRU) following adrenalectomy. Methods: All adrenalectomy cases recorded in the ACS-NSQIP database from 2015 to 2018 were analyzed. Primary outcomes of interest were Clavien-Dindo [CD] I/II or CD IV complications and HCRU. HCRU outcomes were prolonged length of stay (PLOS), discharge to continued care (DCC), and unplanned 30-day readmission (UR). Results: 4358 patients were included. Higher 5-iFI scores were associated with higher rates of CDI/II, CDIV, and increased HCRU (p < 0.05). On multivariate analysis, 5-iFI scores were found to be independent predictors of adverse clinical and HCRU outcomes. Conclusions: Frailty tools like the 5i-FI can be useful in preoperative risk-benefit analysis, patient counseling, and planning prehabilitation interventions.

Original languageEnglish (US)
Pages (from-to)1120-1125
Number of pages6
JournalAmerican Journal of Surgery
Issue number6
StatePublished - Jun 2022


  • Adrenalectomy
  • Frailty
  • Outcomes
  • Postoperative complications
  • Risk factors

ASJC Scopus subject areas

  • Surgery


Dive into the research topics of 'Adrenalectomy outcomes predicted by a 5-item frailty index (5-iFI) in the ACS-NSQIP database'. Together they form a unique fingerprint.

Cite this