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Table 4 Multivariate logistic regression analyses of cardiac injury in AML patients from training set

From: Development of a risk assessment model for cardiac injury in patients newly diagnosed with acute myeloid leukemia based on a multicenter, real-world analysis in China

Variables

Coefficients

SE

OR

95%CI

P

History of diabetes

     

 No

Ref.

 

Ref.

  

 Yes

0.875133

0.529612

2.4

0.85–6.77

0.098

Genetic mutations

     

 NPM1

     

  No

Ref.

 

Ref.

  

  Yes

1.10079

0.39808

3.01

1.38–6.56

0.006

 FLT3

     

  No

Ref.

 

Ref.

  

  Yes

0.240088

0.406053

1.27

0.57–2.82

0.554

 Ras

     

  No

Ref.

 

Ref.

  

  Yes

0.678078

0.581091

1.97

0.63–6.15

0.243

 WT1

     

  No

Ref.

 

Ref.

  

  Yes

0.487583

0.306741

1.63

0.89–2.97

0.112

 JAK2

     

 No

Ref.

 

Ref.

  

 Yes

2.178846

1.139206

8.84

0.95–82.41

0.056

NT-proBNP

     

 Normal

Ref.

 

Ref.

  

 Abnormal

0.911099

0.340318

2.49

1.28–4.85

0.007

WBC (109/L)

0.008208

0.002956

1.0082

1.0024–1.0141

0.005

RBC (1012/L)

0.376219

0.190353

1.46

1-2.12

0.048

EF (%)

-0.02026

0.018682

0.98

0.94–1.02

0.278

  1. NPM1: nucleophosmin 1; FLT3: Fms-like tyrosine kinase 3; WT1: Wilm tumor gene1; JAK2: Janus kinase 2; NT-pro BNP: N-terminal pro-B-type natriuretic peptide; WBC: White blood cells; RBC: Red blood cells; EF: Ejection fraction
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BMC Cancer

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