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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.