Skip to main content

Table 3 Predictive model performance for red blood cell transfusion

From: Predicting red blood cell transfusion in hospitalized patients: role of hemoglobin level, comorbidities, and illness severity

Model1 Transfusion through 24 hours Ever transfused
C-statistic Pseudo R2 C-statistic Pseudo R2
Administrative data2 0.756 0.196 0.738 0.176
(a) + Admission Hemoglobin 0.919 0.522 0.856 0.410
(b) + Severity of Illness 0.922 0.526 0.862 0.418
(c) + Prior RBC Transfusion 0.924 0.530 0.867 0.426
(d) + Initial Hospital Location 0.927 0.537 0.870 0.432
(e) + Hospital 0.928 0.542 0.872 0.437
  1. Footnotes
  2. 1Model performance in this table is measured using the area under the receiver operator characteristic curve (C-statistic) and Nagelkerke’s Pseudo-R2.
  3. 2Administrative data includes age, sex, comorbid conditions (COPS2), admission type (emergency or elective), and admission diagnosis.