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Table 2 Cox proportional hazards models to adjust for confounding (Charlson age–comorbidity index, duration of ICU stay, SAPS II on admission, SOFA score at ICU discharge) for one-year mortality

From: Identifying clinical subtypes in sepsis-survivors with different one-year outcomes: a secondary latent class analysis of the FROG-ICU cohort

 

Adjusted HRs

CI 95%

p value

Model with subtypes at ICU discharge

Harrell’s C-index = 0.73 (95% CI 0.69–0.77) Optimism < 0.01

 Subtype (A as reference)

1.74

(1.16–2.60)

0.006

 Charlson age–comorbidity index

1.23

(1.14–1.33)

 < 0.001

 Duration of ICU stay (days)

1.00

(0.99–1.01)

0.31

 SAPS II on admission (per 10-points increase)

1.07

(0.96–1.19)

0.18

 SOFA score at ICU discharge

1.08

(1.02–1.13)

0.004

Model without subtypes at ICU discharge

Harrell’s C-index = 0.71 (95% CI 0.68–0.76) Optimism < 0.01

 Charlson age–comorbidity index

1.25

(1.16–1.35)

 < 0.001

 Duration of ICU stay (days)

1.00

(0.99–1.01)

0.35

 SAPS II on admission (per 10-points increase)

1.08

(0.97–1.20)

0.11

 SOFA score at ICU discharge

1.08

(1.02–1.14)

0.002

  1. After adjustment for Charlson age–comorbidity Index, duration of ICU stay, SAPS II on admission and SOFA score at ICU discharge, membership in subtype B at ICU discharge was independently associated with one-year mortality. The model calibration was good according to the Grønnesby–Borgan test (p = 0.66)
  2. A significant improvement in Cox regression model discrimination was found when adding subtype membership at ICU discharge on top of Charlson age–comorbidity Index, duration of ICU stay, SAPS II on admission and SOFA score at ICU discharge with an increase in Harrell’s C-index by 2% (p = 0.006)
  3. HR hazard ratio, CI 95% 95% confidence interval, ICU intensive care unit, SAPS II Simplified Acute Physiologic Score, SOFA Sequential Organ Failure Assessment
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Critical Care

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