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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)