Development of a Risk Prediction Model to Individualize Risk Factors for Surgical Site Infection After Mastectomy.

ABSTRACT:

Background

Little data are available regarding individual patients' risk of surgical site infection (SSI) following mastectomy with or without immediate reconstruction. Our objective was to develop a risk prediction model for mastectomy-related SSI.

Methods

Using commercial claims data, we established a cohort of women <65 years of age who underwent a mastectomy from 1 January 2004-31 December 2011. International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes were used to identify SSI within 180 days after surgery. SSI risk factors were determined with multivariable logistic regression using derivation data from 2004-2008 and validated with 2009-2011 data using discrimination and calibration measures.

Results

In the derivation cohort

SUBMITTER: Olsen MA 

PROVIDER: S-EPMC4929027 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature