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Table 5 Receiver operating characteristic (ROC) curve analysis for long-term risk prediction

From: Comparison of the red blood cell indices based on accuracy, sensitivity, and specificity to predict one-year mortality in heart failure patients

Parameters

AUC (95% CI)

P value

Cut-off point

Sensitivity (%)

Specificity (%)

Age

0.569 (0.519–0.619)

0.102

72 (years)

44

69

BMI

0.581 (0.531–0.630)

0.049

22.3 (kg/m2)

46

74

Ejection fraction

0.562 (0.512–0.612)

0.157

15 (15%)

35

81

SBP

0.561 (0.511–0.610)

0.171

117 (mm Hg)

44

71

RBC count

0.582 (0.530–0.632)

0.068

4.09 (10^6/ µL)

55

72

Hemoglobin

0.596 (0.545–0.646)

0.017

12.4 (g/dL)

72

50

Hematocrit

0.611 (0.560–0.660)

0.006

37.1 (%)

75

52

MCV

0.542 (0.490–0.593)

0.296

87.7 (fL)

74

37

MCH

0.588 (0.537–0.638)

0.019

29.3 (Pg)

89

33

MCHC

0.592 (0.541–0.642)

0.026

33.4 (g/dL)

88

27

RDW-CV

0.672 (0.622–0.719)

P < 0.001

16.4 (fL)

49

81

  1. AUC Area under the curve; CI Confidence interval; BMI Body mass index; SBP Systolic blood pressure; RBC Red blood cell; MCV Mean corpuscular volume; MCH Mean corpuscular hemoglobin; MCHC Mean corpuscular hemoglobin concentration; RDW Red bloodcell distribution width.
  2. * All statistically significant p values (p < 0.05) are in bold