TABLE 3.
Prediction Performance of Various Multivariable Models for Predicting the Inhospital Mortality and Logarithm of Length of Stay for the Entire Cohort or the Noncomatose Subset
Model | Log LOS All Patients (Correlation) | Mortality All Patients (AUROC) | Log LOS Noncomatose Patients (Correlation) | Mortality Noncomatose Patients (AUROC) |
---|---|---|---|---|
Baseline model | 0.04 (−0.15 to 0.18) | 0.65 (0.57–0.71) | 0.16 (−0.02 to 0.30) | 0.64 (0.52–0.75) |
Baseline model + CAM-S | 0.41 (0.32–0.50) | 0.81 (0.75–0.85) | 0.42 (0.30–0.53) | 0.74 (0.62–0.84) |
Baseline model + E-CAM-S | 0.33 (0.23–0.44) | 0.77 (0.72–0.82) | 0.37 (0.23–0.48) | 0.83 (0.76–0.90) |
Baseline model + CAM-S + E-CAM-S | 0.43 (0.33–0.51) | 0.80 (0.76–0.86) | 0.46 (0.34–0.56) | 0.82 (0.76–0.89) |
AUROC = area under the receiver operating characteristic curve, CAM-S = Confusion Assessment Method Severity, E-CAM-S = Electroencephalography Confusion Assessment Method Severity, log LOS = logarithm of length of stay.
The baseline model included age, sex, and Charlson Comorbidity Index, onto which was added either the clinical delirium severity measure (CAM-S) or electroencephalography-based delirium severity measure (E-CAM-S). Data are reported as median (95% CIs).