Predicting risk of postoperative lung injury in high-risk surgical patients: a multicenter cohort study.

ABSTRACT:

Background

Acute respiratory distress syndrome (ARDS) remains a serious postoperative complication. Although ARDS prevention is a priority, the inability to identify patients at risk for ARDS remains a barrier to progress. The authors tested and refined the previously reported surgical lung injury prediction (SLIP) model in a multicenter cohort of at-risk surgical patients.

Methods

This is a secondary analysis of a multicenter, prospective cohort investigation evaluating high-risk patients undergoing surgery. Preoperative ARDS risk factors and risk modifiers were evaluated for inclusion in a parsimonious risk-prediction model. Multiple imputation and domain analysis were used to facilitate development of a refined model, designated SLIP-2. Area under the receiver operating c

SUBMITTER: Kor DJ 

PROVIDER: S-EPMC3999474 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature