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Table 2 Univariate and multivariate logistic regression analysis in the development cohort

From: How to accurately preoperative screen nipple-sparing mastectomy candidate—a nomogram for predicting nipple-areola complex involvement risk in breast cancer patients

Variables

Univariate analysis

Multivariate analysis

OR (95%CI)

P value

OR (95%CI) 

P value

Age, year

0.96 (0.92–1.00) 

0.720

  

Multifocal lesions

   

 Yes

1.91 (0.91–3.86)

0.076

  

 No

1.0

   

Tumor location

   

 Central

2.09 (0.34–3.15)

0.001*

2.83 (1.48–5.36)

0.001*

 Peripheral

1.0

 

1.0

 

Menopausal status

   

 Premenopausal

1.74 (0.62–4.41)

0.261

  

 Postmenopausal

1.0

   

Nipple discharge

   

 Yes

1.23 (0.55–3.03)

0.632

  

 No

1.0

   

Family history of cancer

   

 Yes

1.50 (0.65–3.27)

0.322

  

 No

1.0

   

CTS

   

  ≤ 4.0 cm

1.0 1.0

   

  > 4.0 cm

4.44 (2.15–9.09)

< 0.001*

3.66 (1.85–7.15)

< 0.001*

TND

   

  ≤ 1.0 cm

6.55 (3.25–13.29) 

< 0.001*

7.14 (3.48–14.28)

< 0.001*

  > 1.0 cm

1.0

 

1.0

 

cN

   

 Positive

3.73 (1.93–7.21)  

< 0.001*

3.58 (1.92–6.67)

< 0.001*

 Negative

1.0

 

1.0

 

MCIS

   

 Yes

1.21 (0.60–2.38)

0.589

  

 No

1.0

   

Histological grade

   

 G1

1.0

   

 G2/G3

1.73 (0.95–3.17)

0.072

  

Pathology type

   

 Invasive

1.0

   

 Non-invasive

1.26 (0.67–2.38) 

0.475

  

ER

   

 Positive

1.0

   

 Negative

0.82 (0.28–2.45)

0.714

  

PR

   

 Positive

1.0

   

 Negative

0.60 (0.21–1.77)

0.350

  

HER2

   

 Positive

1.58 (0.78–3.13)

0.197

  

 Negative

1.0

   

KI-67

   

  < 20%

1.0

 

1.0

 

  ≥ 20%

2.47 (1.35–4.63)

0.003*

2.00 (1.12–3.63)

0.019*

  1. *Asterisks indicate statistically significant associations (p < 0.05)