Skip to main content

Table 4 The logistic-regression model of factors affecting pathological complete response

From: Is insulin resistance a predictor for complete response in breast cancer patients who underwent neoadjuvant treatment?

 

n

Pathologic response

Univariate analysis

Multivariate analysis

CR

n = 16 (%)

Non-CR

n = 39 (%)

OR

95% CI

p

OR

95 % CI

p

Lower

Upper

Lower

Upper

Body mass index (BMI)

≤ 29.6 (n = 31)

9 (29)

22 (71)

1.1

0.3

3.6

0.8

    

> 29 (n = 24)

7 (29)

17 (71)

Metabolic syndrome

Yes (n = 22)

5 (23)

17 (77)

1.9

0.5

6.6

0.2

    

No (n = 33)

11 (33)

22 (63)

Insulin resistance

No (n = 25)

11 (44)

14 (56)

4.6

1.3

15.9

0.02

4.7

1.7

17.2

0.01

Yes (n = 30)

5 (16)

25 (84)

NLR

≤ 3.3 (n = 26)

9 (35)

17 (65)

1.9

0.6

6.2

0.8

    

> 3.3 (n = 29)

7 (24)

22 (76)

SII

≤ 963 (n = 28)

10 (36)

18 (74)

2.2

0.6

7.1

0,1

    

> 963 (n = 27)

6 (22)

21 (78)

PLR

≤ 225.3 (n = 27)

11 (40)

16 (60)

2.5

0.7

8.2

0.06

    

> 225.3 (n = 28)

5 (18)

23 (82)

CRP

< 5 (mg/L) (n = 38)

10 (26)

28 (74)

1.3

0.3

4.5

0.6

    

≥ 5 (mg/L) (n = 17)

6 (35)

11 (65)

Ki 67 index

≤ 15 (n = 13)

2 (18)

11 (82)

0.3

0.6

1.67

0.1

    

> 15 (n = 42)

14 (33)

28 (67)

Her-2 status

Positive (n = 16)

7 (44)

9 (56)

0.5

0.1

1.97

0.3

    

Negative (n = 39)

9 (23)

30 (77)

Estrogen receptor status

Positive (n = 40)

10 (25)

30 (75)

1.7

0.5

6.1

0.3

    

Negative (n = 15)

6 (40)

9 (60)

Progesterone receptor status

Positive (n = 31)

5 (16)

26 (84)

3.5

1.0

11.6

0.01

3.6

1.0

13.0

0.04

Negative (n = 9)

5 (55)

4 (45)