Derivation and diagnostic accuracy of the surgical lung injury prediction model.

ABSTRACT:

Background

Acute lung injury (ALI) is a serious postoperative complication with limited treatment options. A preoperative risk-prediction model would assist clinicians and scientists interested in ALI. The objective of this investigation was to develop a surgical lung injury prediction (SLIP) model to predict risk of postoperative ALI based on readily available preoperative risk factors.

Methods

Secondary analysis of a prospective cohort investigation including adult patients undergoing high-risk surgery. Preoperative risk factors for postoperative ALI were identified and evaluated for inclusion in the SLIP model. Multivariate logistic regression was used to develop the model. Model performance was assessed with the area under the receiver operating characteristic curve and

SUBMITTER: Kor DJ 

PROVIDER: S-EPMC3986041 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature