Improved early risk stratification of deep sternal wound infection risk after coronary artery bypass grafting.

ABSTRACT:

Background

Deep sternal wound infection (DSWI) following open heart surgery is associated with excessive morbidity and mortality. Contemporary DSWI risk prediction models aim at identifying high-risk patients with varying complexity and performance characteristics. We aimed to optimize the DSWI risk factor set and to identify additional risk factors for early postoperative detection of patients prone to DSWI.

Methods

Single-centre retrospective analysis of patients with isolated multivessel coronary artery disease undergoing myocardial revascularization at Paracelsus Medical University Nuremberg between 2007 and 2022 was performed to identify risk factors for DSWI. Three data sets were created to examine preoperative, intraoperative, and early postoperative parameters, const

SUBMITTER: Kamensek T 

PROVIDER: S-EPMC10865600 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature