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Table 4 Logistic regression model of potential risk factors for lower patient satisfaction

From: Patient satisfaction after unilateral oncoplastic volume displacement surgery for breast cancer, evaluated with the BREAST-Q™

Factor

Q-score ≥ 74

Q-score < 74

OR (95% CI)a

OR (95% CI)b

BMI (kg/m2)

 < 25

31 (54.4%)

26 (45.6%)

1

1

 ≥ 25 to < 30

21 (47.7%)

23 (52.3%)

1.31 (0.59–2.87)

1.28 (0.58–2.84)

 ≥ 30

9 (50.0%)

9 (50.0%)

1.19 (0.41–3.44)

1.18 (0.40–3.46)

Age (years)

 < 50

18 (56.3%)

14 (43.8%)

1

1

 50–65

21 (46.7.7%)

24 (53.3%)

1.47 (0.59–3.66)

1.44 (0.58–3.60)

 > 65

22 (52.4%)

20 (47.6%)

1.17 (0.46–2.95)

1.14 (0.45–2.91)

BI-RADS® classification of breast density

 High density(C–D)

27 (64.3%)

15 (35.7%)

1

1

 Low density (A–B)

34 (44.2%)

43 (55.8%)

2.28 (1.05–4.94)

2.32 (1.02–5.29)

Smoker

 No

53 (52.5%)

48 (47.5%)

1

1

 Yes

4 (28.6%)

10 (71.4%)

2.76 (0.81–9.38)

2.59 (0.74–9.12)

EPBVE (%)c

 < 15

31 (50.8%)

30 (49.2%)

1

1

 ≥ 15

25 (51.0%)

24 (49.0%)

0.99 (0.47–2.11)

1.00 (0.45–2.21)

Specimen weight (grams)

 < 100

40 (58.8%)

28 (41.2%)

1

1

 ≥ 100

17 (38.6%)

27 (61.4%)

2.27 (1.05–4.93)

2.23 (0.99–5.06)

Axillary clearance

 No

48 (57.8%)

35 (42.2%)

1

1

 Yes

13 (36.1%)

23 (63.9%)

2.43 (1.08–5.44)

2.46 (1.09–5.56)

Neoadjuvant chemotherapy

 No

55 (56.1%)

43 (43.9%)

1

1

 Yes

6 (28.6%)

15 (71.4%)

3.20 (1.15–8.93)

3.26 (1.15–9.24)

Adjuvant chemotherapy

 No

47 (54.0%)

40 (46.0%)

1

1

 Yes

14 (43.8%)

18 (56.3%)

1.51 (0.67–3.42)

1.54 (0.67–3.52)

Adjuvant endocrine therapy

 No

15 (48.4%)

16 (51.6%)

1

1

 Yes

46 (52.3%)

42 (47.7%)

0.86 (0.38–1.94)

0.82 (0.35–1.89)

  1. BI-RADS® Breast Imaging Reporting and Data System, EPBVE estimated percentage of breast volume excised, BMI body mass index
  2. aSimple logistic regression model. OR > 1 equals higher likelihood for lower satisfaction (Q-score under median value in the BREAST-Q™ BCT domain “Satisfaction with breast”). Presented as fitted model with 95% CI in brackets. Text in italics highlights statistically significant values
  3. bMultiple logistic regression model, factor adjusted for age and BMI
  4. cDivided at median value of responding patients