Table 1.
Comparison of clinical data between sepsis patients with good and poor in-hospital mortality.
Table 2.
Multivariable logistic regression analysis for independent predictors of in-hospital mortality in patients with sepsis.
Table 3.
Discriminatory performance of individual indicators and the combined model for predicting in-hospital mortality in patients with sepsis.
Fig 1.
Receiver operating characteristic curves of the combined model (SOFA + PNI + NAR) and individual markers for predicting in-hospital mortality in patients with sepsis.
The combined model showed greater discrimination than the individual markers. AUC, area under the curve; SOFA, Sequential Organ Failure Assessment; PNI, prognostic nutritional index; NAR, neutrophil-to-albumin ratio; CAR, C-reactive protein-to-albumin ratio. The numerical difference in AUC between the combined model and SOFA alone did not reach statistical significance (P = 0.075).
Fig 2.
Calibration curve of the combined model (SOFA + PNI + NAR) for predicting in-hospital mortality in patients with sepsis.
The plot was generated using 1,000 bootstrap resamples to assess agreement between predicted probabilities and observed outcomes. The 45° diagonal line indicates the ideal reference. The model curve showed reasonable agreement with the reference line across the range of predicted risk.
Fig 3.
Decision curve analysis of the combined model (SOFA + PNI + NAR) versus SOFA alone for predicting in-hospital mortality in patients with sepsis.
The y-axis represents net benefit, and the x-axis represents threshold probability. The combined model (red line) showed a higher net benefit than SOFA alone (blue line) across a clinically relevant range of threshold probabilities.
Fig 4.
Kaplan–Meier curves of in-hospital survival in patients with sepsis, stratified by the optimal cut-off values of SOFA (≥ 3.5 vs. < 3.5), NAR (≥ 0.502 vs. < 0.502), and PNI (< 29.63 vs. ≥ 29.63).
P values were calculated using the log-rank test.