A nomogram for predicting prognosis in patients with acute respiratory distress syndrome (ARDS) and acute renal injury (AKI): A retrospective cohort study

Abstract

AbstractBackground Acute respiratory distress syndrome (ARDS) combined with acute kidney injury (AKI) remains a challenge for clinicians. Early identification of high-risk patients is essential to ensure proper management. However, the present literature does not provide such an instrument. The purpose of this study is to develop a fast and easy to manage instrument to predict the prognosis of patients with ARDS and AKI. Methods We extracted data from Medical Information Mart for Intensive Care-IV v2.0. Variable selection was based on LASSO regression. Then, we constructed a nomogram model and the performances of the model were evaluated with area under the curve (AUC), and decision curve analysis (DCA) respectively. Results We have developed a novel and practical nomogram that accurately predicted ARDS combined with AKI. The AUC of the novel model was better than that of SOFA and SPAS II (all P < .001). DCA showed that the nomogram model had a better net benefit than SOFA and SPAS II. Conclusions We had developed a novel scoring tool that accurately predicts the prognosis of ARDS combined with AKI and may help improve patient outcomes. This finding, however, needs to be confirmed by external validation as well as multi-centre prospective studies.