The Surgical Site Infection Risk Score (SSIRS): A Model to Predict the Risk of Surgical Site Infections.

ABSTRACT:

Background

Surgical site infections (SSI) are an important cause of peri-surgical morbidity with risks that vary extensively between patients and surgeries. Quantifying SSI risk would help identify candidates most likely to benefit from interventions to decrease the risk of SSI.

Methods

We randomly divided all surgeries recorded in the National Surgical Quality Improvement Program from 2010 into a derivation and validation population. We used multivariate logistic regression to determine the independent association of patient and surgical covariates with the risk of any SSI (including superficial, deep, and organ space SSI) within 30 days of surgery. To capture factors particular to specific surgeries, we developed a surgical risk score specific to all surgeries having a com

SUBMITTER: van Walraven C 

PROVIDER: S-EPMC3694979 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature