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. 2012 Nov 7;7(11):e48758. doi: 10.1371/journal.pone.0048758

Table 7. Predicted risk of death and readmission at 24 hour intervals in up to the last four days in the ICU.

Percent Risk in Patient Subgroups Days Prior to ICU Dischargea Rate of Change
3 2 1 0 Average per Dayb 95% CI
Risk of Death Model
 Survived 48 hours after ICU discharge, Median % (IQR) 0.80(0.26–2.96) 0.55(0.19–1.83) 0.30(0.11–0.89) 0.19(0.07–0.48) −1.18 −1.21 – −1.16c
 Did not survive 48 hours after ICU discharge, Median % (IQR) 7.01(2.02–23.77) 6.44(1.83–24.16) 6.29(1.73–26.63) 8.82(1.73–43.53) 2.47 1.98 – 2.97d
 Did not survive the ICU stay, Median % (IQR) 11.11(2.87–36.50) 12.51(3.07–41.41) 16.61(3.88–53.16) 69.51(25.20–94.74) 13.08 12.81 – 13.34e
Risk of Readmission Model
 No readmission within 48 hours after ICU discharge, Median % (IQR) 2.71(1.63–4.40) 2.50(1.51–3.98) 2.19(1.32–3.44) 2.04(1.24–3.11) −0.31 −0.32 – −0.31c
 Readmitted within 48 hours after ICU discharge, Median % (IQR) 4.21(2.63–6.93) 3.82(2.43–6.50) 3.42(2.21–5.76) 3.30(2.15–5.52) −0.35 −0.39 – −0.31d
 Did not survive the ICU stay, Median % (IQR) 4.08(2.28–7.07) 4.13(2.19–6.99) 4.14(2.17–7.14) 4.20(2.23–7.37) 0.07 0.03 – −0.10e
a

Day 0 =  predictions generated at the time of ICU discharge; Day 1 =  predictions generated 24 hours prior to discharge; Day 2 =  predictions generated 48 hours prior to discharge; Day 3 =  predictions generated 72 hours prior to discharge.

b

The average change in predicted risk (%) across the last four ICU days using linear regression with a robust variance estimator clustered by patient across ICU days.

c

600,252 observations.

d

9,830 observations.

e

40,801 observations. All p-values <0.01.