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. 2020 Mar 23;9(3):875. doi: 10.3390/jcm9030875

Table 3.

Prediction performance of the qSOFA scores and machine-learning models in the test set.

Models qSOFA Scores qSOFA-Based Machine-Learning Models
Outcomes AUROC (95% CI) p Value
3-day mortality 0.78 (0.77–0.79) 0.86 (0.85–0.87) <0.001
In-hospital mortality 0.71 (0.69–0.72) 0.75 (0.74–0.76) 0.002
3-day ICU admission 0.73 (0.72–0.75) 0.79 (0.78–0.80) <0.001
ICU admission 0.73 (0.72–0.75) 0.79 (0.77–0.80) <0.001

AUROC = area under the receiver operating characteristics; CI = confidence interval; qSOFA = quick Sepsis-related Organ Failure Assessment; ICU = intensive care unit.