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Table 4 Multivariate logistic regression models predicting breast pathological complete response

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

 

Coefficient

OR (95% CI)

P-value

Age

-0.026

0.974 (0.950,0.999)

0.044

Tumor stage

 cT1-2

 

Reference

 

 cT3-4

-0.261

0.771 (0.459,1.294)

0.324

Lymph node status

 Negative

 

Reference

 

 Positive

-0.173

0.841 (0.431,1.638)

0.610

ER status

 Negative

 

Reference

 

 Positive

-0.996

0.370 (0.201,0.680)

0.001

PR status

 Negative

 

Reference

 

 Positive

-0.834

0.434 (0.205,0.921)

0.030

Ki-67 index

 < 30%

 

Reference

 

 ≥ 30%

1.240

3.457 (1.347,8.700)

0.008

HER2 status

 2 + 

 

Reference

 

 3 + 

1.353

3.868 (1.828,8.184)

< 0.001

IMPC

 Without

 

Reference

 

 With

-2.744

0.064 (0.014,0.299)

< 0.001

Chemotherapy regimens

 THP*4

 

Reference

 

 TCbHP*6

0.699

2.012 (1.131,3.577)

0.017

 AC*4-THP*4

1.024

2.785 (1.080,7.182)

0.034

  1. Logistic regression prediction model: \(\pi (Y=1)=\frac{1}{1+\mathit{exp}(-Score)}\)
  2. \(\begin{array}{c}score=-0.996\left(\text{ER}=\text{Positive}\right)-0.834\left(\text{PR}=\text{Positive}\right)+1.240(\text{Ki}-67\\\geq30\%)+1.353\left(\text{HER}2=3+\right)-2.744(\text{IMPC}\\=\text{with})+0.699(\mathrm{chemotherapy}\;\mathrm{regimen}\\=\text{TCbHP}\ast6)+1.024(\mathrm{chemotherapy}\;\mathrm{regimen}=\text{AC}\ast4-\text{THP}\ast4)\end{array}\)
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BMC Cancer

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