| Autor: |
Xueshu Yu, Xianwei Zhang, Wen Xu, Xiangyuan Ruan, Yincai Ye, Jingye Pan |
| Rok vydání: |
2023 |
| DOI: |
10.21203/rs.3.rs-2518120/v1 |
| Popis: |
Background 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 |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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