* Methodology: Researchers conducted an observational study involving 263 high-risk patients, collecting clinical data and blood samples around the time of SICU admission to analyze potential risk factors using various biomarkers and statistical methods.
* Results: Out of the 263 patients, 84 developed ARDS. Analysis identified several risk factors, including certain biomarkers and clinical scores, which were combined into a predictive model that showed strong accuracy (C-index of 0.864), indicating its potential for effectively predicting ARDS onset.