Ontology highlight
ABSTRACT: Background
Attributing causes of postoperative mortality is challenging, as death may be multifactorial. A better understanding of complications that occur in patients who die is important, as it allows clinicians to focus on the most impactful complications. We sought to determine the postoperative complications with the strongest independent association with 30-day mortality.Methods
Data were obtained from the 2012-2013 National Surgical Quality Improvement Program Participant Use Data Files. All inpatient or admit day of surgery cases were eligible for inclusion in this study. A multivariable least absolute shrinkage and selection operator regression analysis was used to adjust for patient pre- and intraoperative risk factors for mortality. Attributable mortality was cal
SUBMITTER: Freundlich RE
PROVIDER: S-EPMC6150605 | biostudies-literature | 2018 Jul
REPOSITORIES: biostudies-literature