Figure 1.
Study flowchart.
Table 1.
Baseline features associated with 90-day mortality.
Table 2.
Organ support during ICU stay and Laboratorial data at ICU discharge related to 90-days outcome.
Figure 2.
Plot versus criterion value curves for the CRP/albumin ratio and mortality at 90 days (Panel A) and for CRP versus 90-day mortality (Panel B).
The X-axis shows the CRP/albumin ratio (Panel A) and serum CRP levels in mg/L (Panel B). The Y-axis shows the percentage. The solid and dashed lines indicate sensitivity and specificity with 95% confidence intervals, respectively.
Figure 3.
Kaplan-Meier curves showing the 90-day survival of septic patients after discharge from the intensive care unit.
Solid line, CRP/albumin ratio <2 group; dashed line, CRP/albumin ratio >2 group; triangles, censored patients.
Table 3.
Evaluation of potentially useful markers of 90-day mortality after discharge.
Table 4.
Multivariate models to predict 90-day mortality after ICU discharge.
Figure 4.
Model of the probability of mortality at 90 days after ICU discharge.
The probability of death at 90 days after ICU discharge is depicted using a multivariate logistic model. In A and C, the model is depicted versus age and in B and D versus SOFA score. The models A and B include age, SOFA score, chronic comorbidities, hemoglobin levels and ICU LOS. The models C and D include all variables cited above in addition to the CRP/albumin ratio. The black and gray solid lines indicate the calculated probability of death for dead and alive patients, respectively. For young and less severe patients, the model CRP/albumin ratio (C and D) could differentiate better between survivors and non-survivors than the model without biomarkers. However, as age and SOFA score increase, both models presented similar differences between survivors and non-survivors. The lines were fitted using a loess smooth function.