Skip to main content

Table 2 Logistic regression of clinical and hematological characteristics

From: Pretreatment multiparametric MRI radiomics-integrated clinical hematological biomarkers can predict early rapid metastasis in patients with nasopharyngeal carcinoma

 

univariate logistic regression

multivariate logistics regression

 

P value

Exp(B)

low

high

P value

Exp(B)

low

high

gender(male vs. female)

0.523

1.291

0.589

2.829

    

age(< 55vs. ≥ 55)

0.342

1.382

0.709

2.692

    

type

0.989

       

type(1vs.3)

0.956

1.043

0.237

4.585

    

type(2vs.3)

0.888

1.062

0.458

2.462

    

PLR (< 260vs. ≥ 260)

0.002*

5.502

1.844

16.420

0.082

3.691

0.848

16.075

NLR(< 3.8vs. ≥ 3.8)

 < 0.001*

4.034

1.938

8.398

0.015*

6.119

1.424

126.294

LMR(< 5.5vs. ≥ 5.5)

0.111

0.425

0.148

1.216

    

SII(< 1185vs. ≥ 1185)

 < 0.001*

4.050

1.887

8.694

0.586

0.648

0.136

3.083

clinical classification (I,IIvs.III,IV)

0.010*

7.105

1.594

31.679

0.096

4.472

0.767

26.070

T1,2 vs. 3,4

0.004*

2.747

1.388

5.438

0.025*

6.119

1.424

26.294

N0,1,2 vs. 3

0.015*

2.308

1.175

4.533

0.04*

3.305

1.466

7.454

EBV-DNA(-vs. +)

0.188

1.700

0.771

3.747

    

BMI(< 28vs. ≥ 28)

0.539

1.340

0.526

3.415

    

BSA(< 1.5vs. ≥ 1.5)

0.973

1.022

0.286

3.660

    
  1. LMR Lymphocyte-to-monocyte ratio, PLR Platelet-to-lymphocyte ratio, NLR Neutrophil-to-lymphocyte ratio, SII Systemic immune inflammation index, EBv-DNA Epstein–Barr virus DNA, BMI Body mass index, BSA Body surface area
  2. *Indicates p < 0.05