This is a medical research study that uses information from past patient hospital records. It focuses on three serious conditions that often affect critically ill patients: sepsis (a life-threatening body-wide infection), ARDS (a severe lung injury that makes breathing very difficult), and acute kidney injury (sudden loss of kidney function). The goal is to better understand which patients in the ICU are at highest risk of developing these conditions or getting worse. Researchers will look at de-identified information from medical records of patients treated in the ICU . The study will use computer analysis to find patterns in the data that may help doctors predict these risks earlier. No new treatments are being tested, and no patients will be contacted or recruited for this study. All data used is anonymous to protect patient privacy.
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Area Under the Receiver Operating Characteristic Curve (AUROC) for predicting the composite outcome of Sepsis, ARDS, or Acute Kidney Injury
Timeframe: From ICU admission to 7 days after admission (for outcome prediction)
Calibration of predicted risk, measured by the Brier Score
Timeframe: From ICU admission to 7 days after admission (for outcome assessment).
Sensitivity (Recall) for the composite outcome at a pre-defined risk threshold
Timeframe: From ICU admission to 7 days after admission (for outcome assessment).