Fig 1.
Flowchart indicating number of included and excluded patients.
Data are given as number of patients.
Table 1.
Baseline characteristics of all patients.
Table 2.
Clinical characteristics of all patients.
Fig 2.
Duration of stay on the intensive care unit (ICU).
Multivariable linear regression analysis showing regression coefficients for ICU stay (days) in all surviving patients adjusted for age, mechanical ventilation, severe shock, acute kidney and SAPS 2 ≥ 50 (a). ICU free days 15 days after ICU admission (b).
Fig 3.
Multivariable binary logistic regression analyses for ICU mortality.
Odds ratios adjusted for age, mechanical ventilation, severe shock, acute kidney injury and SAPS 2 ≥ 50.
Fig 4.
Figure shows multivariable logistic regression analysis with odds ratio (95% confidence interval) of different risk factors for delirium diagnosed by clinical diagnosis (a) and Nudesc (b). Odds ratios >1 mark positive predictors, odds ratio <1 negative predictors.
Fig 5.
Fraction of delirium positive patients in different subgroups.
(a). Factor of fraction of patients with delirium diagnosed by Nudesc divided by patients with clinical diagnosis of delirium (b). Univariate analysis in all Nudesc positive patients predicting a positive clinical diagnosis of delirium (c). Positive Odds ratios represent higher possibilities of a positive clinical diagnosis.