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Table 3 Multivariate logistic regression models predicting total pathological complete response

From: Real-world data on neoadjuvant chemotherapy with dual-anti HER2 therapy in HER2 positive breast cancer

Variables

Coefficient

OR (95% CI)

P-value

Age

-0.020

0.980 (0.957,1.004)

0.108

Tumor stage

 cT1-2

 

Reference

 

 cT3-4

-0.362

0.697 (0.422,1.150)

0.158

Lymph node status

 Negative

 

Reference

 

 Positive

-0.455

0.634 (0.330,1.221)

0.173

ER status

 Negative

 

Reference

 

 Positive

-0.829

0.437 (0.241,0.789)

0.006

PR status

 Negative

 

Reference

 

 Positive

-1.077

0.341 (0.160,0.724)

0.005

Ki-67 index

 < 30%

 

Reference

 

 ≥ 30%

1.225

3.404 (1.357,8.538)

0.009

HER2 status

 2 + 

 

Reference

 

 3 + 

1.326

3.765 (1.776,7.985)

< 0.001

Chemotherapy regimens

 THP*4

 

Reference

 

 TCbHP*6

1.005

2.733 (1.562,4.782)

< 0.001

 AC*4-THP*4

1.138

3.121 (1.257,7.748)

0.014

  1. Logistic regression prediction model: \(\pi (Y=1)=\frac{1}{1+\mathit{exp}(-Score)}\)
  2. \(\begin{array}{l}score=-0.829\left(\text{ER}=\text{Positive}\right)-1.077\left(\text{PR}=\text{Positive}\right)+1.225(\text{Ki}-67\\\geq30\%)+1.326\left(\text{HER}2=3+\right)+1.005(\mathrm{chemotherapy}\;\mathrm{regimen}=\text{TCbHP}\ast6)\\+1.138(\mathrm{chemotherapy}\;\mathrm{regimen}=\text{AC}\ast4-\text{THP}\ast4)\end{array}\)