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Table 3 Multivariable models for CR, OS and RFS

From: AML risk stratification models utilizing ELN-2017 guidelines and additional prognostic factors: a SWOG report

Models

AUCs or C-statistics

MNCs

VLBs

Complete Response (CR, AUC)

Discovery

Validation

Discovery

Validation

ELN2017

0.66

0.73

0.66

0.67

AGE + ELN2017

0.71

0.72

0.71

0.72

AGE + PS + GATA2 + BAALC (MNCs)

0.77a

0.67

N/A

N/A

AGE + PS + MN1 + GATA2 (VLBs)

N/A

N/A

0.72a

0.70

Overall Survival (OS, C Statistic)

Discovery

Validation

Discovery

Validation

ELN2017

0.60

0.68

0.59

0.68

AGE + ELN2017

0.72

0.70

0.71

0.71

AGE + ELN2017 + ERG1 + EVI1 + JAG1 + JAG1aELN (MNCs)

0.73a

0.69

N/A

N/A

AGE + ELN2017 + EVI1 + ERG1 + CCNA1 (VLBs)

N/A

N/A

0.71a

0.73

Relapse-Free Survival (RFS, C Statistic)

Discovery

Validation

Discovery

Validation

ELN2017b

0.60

0.54

0.61

0.54

AGE + ELN2017b

0.67

0.63

0.66

0.62

AGE + ELN2017b + EVI1 + CCNA1 (MNCs)

0.69a

0.65

N/A

N/A

AGE + ELN2017b + EVI1 + CCNA1 (VLBs)

N/A

N/A

0.72a

0.65

  1. aAUCs or C-statistics for the integrated models come from cross-validation. 1/5 of the discovery data were used to build a model, and the remaining 4/5 of the data were fit to this model, resulting in five C-statistics or AUCs. The mean of the five is presented in the table
  2. bDue to small sample size, ELN2017 in the RFS models was categorized into adverse vs. not adverse (including intermediate, favorable, and unknown)