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. Author manuscript; available in PMC: 2022 Nov 1.
Published in final edited form as: Crit Care Med. 2022 Jan 1;50(1):e11–e19. doi: 10.1097/CCM.0000000000005224

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).