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. 2017 Apr 3;7:45632. doi: 10.1038/srep45632

Table 4. AUC using ROC curve analysis to predict all-cause and cardiovascular mortality by various parameters.

  All-cause mortality
Cardiovascular mortality
1-year 3-year 5-year 1-year 3-year 5-year
AUC for each variable
RDW 0.791 0.726 0.699 0.769 0.743 0.74
(0.72, 0.87) (0.66, 0.8) (0.62, 0.78) (0.72, 0.82) (0.66, 0.83) (0.66, 0.82)
Albumin 0.785 0.757 0.683 0.748 0.717 0.673
(0.7, 0.87) (0.69, 0.83) (0.6, 0.76) (0.59, 0.9) (0.62, 0.82) (0.57, 0.78)
Hemoglobin 0.580 0.528 0.51 0.504 0.48 0.475
(0.46, 0.7) (0.45, 0.61) (0.43, 0.59) (0.35, 0.65) (0.38, 0.58) (0.37, 0.58)
Ferritin 0.684 0.599 0.584 0.602 0.568 0.538
(0.58, 0.79) (0.52, 0.67) (0.51, 0.65) (0.47, 0.74) (0.47, 0.66) (0.44, 0.63)
Iron saturation 0.63 0.538 0.535 0.597 0.487 0.491
(0.51, 0.75) (0.45, 0.62) (0.46, 0.61) (0.45,0.74) (0.37, 0.6) (0.39, 0.59)
White blood cell count 0.735 0.58 0.588 0.583 0.506 0.492
(0.62, 0.85) (0.49, 0.67) (0.51, 0.66) (0.42, 0.75) (0.39, 0.62) (0.39, 0.6)
AUC for variables in model 4 plus the following variable
Variables in model 4 + RDW 0.916 0.892 0.876 0.924 0.875 0.882
(0.88, 0.96) (0.85, 0.93) (0.83, 0.92) (0.86, 0.99) (0.81, 0.94) (0.83, 0.94)
Variables in model 4 + albumin 0.905 0.876 0.866 0.899 0.829 0.843
(0.86, 0.95) (0.83, 0.92) (0.82, 0.92) (0.83, 0.97) (0.76, 0.9) (0.78, 0.91)
Variables in model 4 + hemoglobin 0.902 0.867 0.847 0.816 0.822 0.831
(0.86, 0.94) (0.82, 0.91) (0.79,0.9) (0.72, 0.91) (0.76, 0.88) (0.78, 0.89)
Variables in model 4 + ferritin 0.911 0.877 0.854 0.862 0.824 0.831
(0.86, 0.96) (0.84, 0.92) (0.8, 0.91) (0.79,0.94) (0.76, 0.89) (0.77, 0.9)
Variables in model 4 + iron saturation 0.889 0.888 0.875 0.914 0.849 0.855
(0.84, 0.94) (0.85, 0.93) (0.83, 0.92) (0.85, 0.98) (0.78, 0.92) (0.8, 0.91)
Variables in model 4 + White blood cell count 0.895 0.88 0.872 0.896 0.836 0.847
(0.84, 0.94) (0.84, 0.92) (0.82, 0.92) (0.81, 0.98) (0.77, 0.9) (0.79, 0.9)

Data are presented as AUC (95% confidence interval).

Abbreviations: AUC, area under the curve; ROC, receiver operating characteristic.

Variables in model 4 included age, sex, body mass index, smoking status, medications usage, comorbid conditions and peritoneal dialysis related parameters.