Table 3 Univariate and multivariable logistic regression models for the prediction of gBRCA mutations in patients with breast cancer

Age at diagnosis

0.98 (0.95, 1.00)

0.093

0.97 (0.94, 0.99)

0.021*

Tumor size

1.00 (0.98, 1.03)

0.687

Menopausal status

0.95 (0.52, 1.69)

0.870

Multiple lesions

0.62 (0.24, 1.37)

0.264

Bilateral breast cancer

1.68 (0.80, 3.38)

0.158

1.13 (0.36, 3.32)

0.826

Personal history of breast cancer

2.31 (0.81, 6.22)

0.101

3.38 (0.76, 15.23)

0.108

Personal history of other BRCA-related cancers

16.65 (2.63, 321.40)

0.011*

48.10 (5.51, 1143.00)

0.002*

Family history of breast cancer

3.37 (1.98, 5.73)

 < 0.001*

4.44 (2.47, 8.09)

 < 0.001*

Family history of other BRCA-related cancers

1.33 (0.41, 3.70)

0.603

Histological subtype

4.65 (0.91, 84.87)

0.141

4.46 (0.72, 88.37)

0.182

Grade

1.04 (0.64, 1.70)

0.883

Lymph node status

0.93 (0.57, 1.52)

0.762

ER status

1.71 (1.02, 2.85)

0.039*

1.59 (0.90, 2.82)

0.112

PR status

1.00 (0.60, 1.64)

0.986

Ki67

3.06 (1.18, 10.46)

0.040*

3.60 (1.14, 16.20)

0.051

HER-2 status

2.00 (1.05, 4.08)

0.043*

2.15 (1.08, 4.61)

0.038*