Table 3 Single and multivariate binary logistic regression analysis results.

From: Constructing a nomogram model for patients with cervical spondylotic myelopathy

Variable

OR[95%CI]

p

OR[95%CI]

p

Sex

 

0.889

  

Male

1

   

Female

0.96[0.541,1.705]

   

Age

 

0.039

 

0.156

≤ 61.5

1

 

1

 

> 61.5

0.54[0.301,0.969]

 

0.981[0.956,1.007]

 

Hypertension

 

0.721

  

No

    

Yes

0.897[0.494,1.629]

   

Diabetes

 

0.217

  

No

1

   

Yes

0.661[0.343,1.275]

   

Heart disease

 

0.422

  

No

1

   

Yes

1.82[0.422,7.843]

   

Smoke

 

0.836

  

No

1

   

Yes

0.936[0.498,1.757]

   

Alcoholism

 

0.186

  

No

1

   

Yes

0.664[0.363,1.217]

   

RBC

 

0.006

 

0.075

≤ 6.105

1

 

1

 

> 6.105

0.388[0.197,0.764]

 

0.891[0.784,1.012]

 

HGB

 

0.043

  

≤ 93.5

1

   

> 93.5

2.766[1.035,7.392]

   

MCV

 

0.066

  

≤ 88.65

1

   

> 88.65

1.789[0.963,3.323]

   

WBC

 

0.011

  

≤ 4.885

1

   

> 4.885

2.255[1.205,4.218]

   

NC

 

0.031

  

≤ 3.3675

1

   

> 3.3675

0.478[0.244,0.935]

   

LYM

 

0.064

  

≤ 1.072

1

   

> 1.072

0.557[0.299,1.034]

   

MONO

 

0.065

  

≤ 0.569

1

   

> 0.569

0.577[0.322,1.035]

   

PLT

 

< 0.001

 

0.021

≤ 267.5

1

 

1

 

> 267.5

2.924[1.625,5.261]

 

1.005[1.001,1.009]

 

Eos.

 

0.133

  

≤ 0.0285

1

   

> 0.0285

0.62[0.332,1.156]

   

Bos.

 

0.813

  

≤ 0.0305

1

   

> 0.0305

1.076[0.586,1.977]

   

ALB

 

< 0.001

 

0.008

≤ 33.05

1

 

1

 

> 33.05

0.253[0.127,0.506]

 

0.891[0.818,0.97]

 

AST

 

0.084

 

0.035

≤ 22.95

1

 

1

 

> 22.95

0.569[0.3,1.079]

 

1.031[1.002,1.061]

 

ALT

 

0.07

 

0.037

≤ 11.15

1

 

1

 

> 11.15

1.829[0.953,3.509]

 

0.958[0.92,0.998]

 

TBIL

 

0.133

  

≤ 7.85

1

   

> 7.85

0.631[0.346,1.15]

   

Cr

 

0.147

  

≤ 71.1

1

   

> 71.1

1.534[0.861,2.733]

   

BUN

 

0.343

  

≤ 5.69

1

   

> 5.69

1.319[0.744,2.338]

   

PT

 

0.002

  

≤ 11.85

1

   

> 11.85

0.393[0.215,0.717]

   

APTT

 

0.002

  

≤ 33.15

1

   

> 33.15

0.335[0.167,0.671]

   

FIB

 

0.002

 

0.015

≤ 4.12

1

 

1

 

> 4.12

0.224[0.085,0.59]

 

0.654[0.464,0.921]