Optimizing classical risk scores to predict complications in head and neck surgery: a new approach.

ABSTRACT:

Purpose

To validate tools to identify patients at risk for perioperative complications to implement prehabilitation programmes in head and neck surgery (H&N).

Methods

Retrospective cohort including 128 patients submitted to H&N, with postoperative Intermediate Care Unit admittance. The accuracy of the risk calculators ASA, P-POSSUM, ACS-NSQIP and ARISCAT to predict postoperative complications and mortality was assessed. A multivariable analysis was subsequently performed to create a new risk prediction model for serious postoperative complications in our institution.

Results

Our 30-day morbidity and mortality were 45.3% and 0.8%, respectively. The ACS-NSQIP failed to predict complications and had an acceptable discrimination ability for predicting death. The discrimin

SUBMITTER: Sousa Menezes A 

PROVIDER: S-EPMC7302498 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature