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. 2021 Jul 19;11:14662. doi: 10.1038/s41598-021-94184-7

Table 4.

Univariate and multivariate logistic regression analysis for the predictors of pathological complete response.

Factor Univariate Analysis Multivariate Analysis
OR 95% CI P value OR 95% CI P value
Lower Upper Lower Upper
Age Years 1.00 0.99 1.02 0.775
Menauposal status Premen (RC) vs. postmen 1.03 0.68 1.55 0.903
Clinical T stage T3/4 (RC) vs. T1/2 1.87 1.10 3.16 0.020 2.16 1.10 4.23 0.025
Clinical Node status Positive (RC) vs. negative 0.91 0.60 1.40 0.681
NLR High (RC) vs. low 1.83 1.12 2.98 0.016 0.96 0.46 2.00 0.909
MLR High (RC) vs. low 2.06 1.32 3.21 0.002 1.11 0.61 2.03 0.735
PLR High (RC) vs. low 2.16 1.34 3.48 0.002 1.80 0.95 3.44 0.074
PIV High (RC) vs. low 3.80 2.21 6.52 < 0.001 3.32 1.53 7.21 0.002
ER status Positive (RC) vs. negative 5.63 3.62 8.75 < 0.001 3.24 1.84 5.71 < 0.001
HER-2 status Negative (RC) vs. positive 3.64 2.35 5.63 < 0.001 3.84 2.17 6.80 < 0.001
Ki-67 index Low (RC) vs. high 4.16 2.40 7.24 < 0.001 3.30 1.72 6.32 < 0.001
Histopathology IDC vs. other 0.59 0.23 1.51 0.271
Chemotherapy AplusT vs. other 0.83 0.53 1.31 0.424

OR odds ratio, CI confidential interval, RC reference category, NLR neutrophil-to-lymphocyte ratio, MLR monocyte-to-lymphocyte ratio, PLR platelet-to-lymphocyte ratio, PIV Pan-immune-inflammation-value, ER estrogen receptor, HER-2 human epidermal growth factor receptor-2, IDC invasive ductal carcinoma, AplusT anthracycline plus taxane.

The multivariate logistic regression model is significant (p < 0.001).

Bold numbers indicate statistical significance.