Factors predictive of 90-day mortality after surgical resection for oral cavity cancer: Development of a recursive partitioning analysis for risk stratification

Ashwin Shinde, Bernard Jones, Michael Luu, Richard Li, Scott Glaser, Erminia Massarelli, Morganna Freeman, Thomas Gernon, Ellie Maghami, Robert Kang, Zachary Zumsteg, Sana D. Karam, Arya Amini

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Factors that influence postoperative mortality (POM) have been identified, but a predictive model to guide clinicians treating oral cavity cancer (OCC) has not been well established. Methods: Patients with OCC undergoing upfront surgical resection were included. Primary outcome was 90-day POM (90dPOM). Results: 33 845 were identified using the National Cancer Database. Rate of 90dPOM was 3.2%. Predictors of higher 90dPOM include older age, higher comorbidity scores, nonprivate insurance, lower income, treatment in an academic facility, higher T- and N-classification, radical excision, and presence of positive margins. On RPA, two high-risk (90dPOM > 10%) patient subsets were identified: patients ≥80 years of age with T3-4 disease and patients <80 years, with any comorbidity and T3-4, N2-3 disease. Conclusions: We identified a subset of patients in this cohort who are at high risk for 90dPOM. These patients may warrant additional perioperative and postoperative monitoring in addition to better preoperative assessment and screening.

Original languageEnglish (US)
Pages (from-to)2731-2739
Number of pages9
JournalHead and Neck
Volume43
Issue number9
DOIs
StatePublished - Sep 2021
Externally publishedYes

Keywords

  • head and neck
  • oral cavity
  • postoperative mortality

ASJC Scopus subject areas

  • Otorhinolaryngology

Fingerprint

Dive into the research topics of 'Factors predictive of 90-day mortality after surgical resection for oral cavity cancer: Development of a recursive partitioning analysis for risk stratification'. Together they form a unique fingerprint.

Cite this