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. 2023 Dec 6;10(1):e23383. doi: 10.1016/j.heliyon.2023.e23383

Table 3.

Univariate and multivariate logistic regression of clinical and pathological factors in the training dataset.

Characteristics Univariate
Multivariate
OR (95% CI) P value OR (95% CI) β coefficient P value
Age 0.959 (0.932–0.986) 0.004 0.957 (0.927–0.988) −0.044 0.007
Menopause 0.698 (0.366–1.330) 0.274
Bilateral BC 1.344 (0.601–3.006) 0.471
Previous BC 1.473 (0.626–3.466) 0.375
Family History 5.207 (2.910–9.318) <0.001 4.941 (2.670–9.143) 1.598 <0.001
ER positive 0.730 (0.427–1.250) 0.252
PR positive 0.792 (0.467–1.342) 0.386
HER2 positive 0.335 (0.153–0.731) 0.006 0.280 (0.122–0.639) −1.274 0.003
Ki-67 ≥ 20% 5.130 (1.551–16.962) 0.007 4.609 (1.343–15.831) 1.528 0.015
TNBC 1.738 (0.962–3.139) 0.067

BC: breast cancer; ER: oestrogen receptor; PR: progesterone receptor; HER2: human epidermal growth factor receptor 2; TNBC: triple-negative breast cancer.

Family history of BRCA1/2-related malignancy, including breast, ovarian, pancreatic and prostate cancer.