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Article Synopsis
  • * 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.
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