Unknown

Dataset Information

Development and Validation of a Model for Predicting Surgical Site Infection After Pelvic Organ Prolapse Surgery.


ABSTRACT:

Importance

Surgical site infection (SSI) is a common and costly complication. Targeted interventions in high-risk patients may lead to a reduction in SSI; at present, there is no method to consistently identify patients at increased risk of SSI.

Objective

The aim of this study was to develop and validate a model for predicting risk of SSI after pelvic organ prolapse surgery.

Study design

Women undergoing surgery between 2011 and 2017 were identified using Current Procedural Terminology codes from the Centers for Medicare and Medicaid Services 5% Limited Data Set. Surgical site infection ≤90 days of surgery was the primary outcome, with 41 candidate predictors identified, including demographics, comorbidities, and perioperative variables. Generalized linear regression

SUBMITTER: Sheyn D 

PROVIDER: S-EPMC9590370 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature