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. 2020 Feb 1;13(2):286–294.

Table 3.

Univariate logistic regression model analysis of factors predicting cardiotoxicity

Items Univariate logistic regression

P value OR 95% CI

Lower Higher
HER2 codon 655 (GG=2, AG=1, AA=0) 0.008 3.117 1.337 7.266
Age 0.155 1.047 0.983 1.115
BMI 0.013 1.321 1.059 1.647
Smoking (yes vs. no) 0.020 3.437 1.217 9.710
Hypertension (yes vs. no) 0.021 3.239 1.193 8.795
Diabetes mellitus (yes vs. no) 0.565 1.722 0.271 10.955
Dyslipidemia (yes vs. no) 0.146 2.118 0.770 5.820
Hyperuricemia (yes vs. no) 0.029 3.294 1.128 9.619
Chronic kidney disease (yes vs. no) 0.135 4.109 0.645 26.178
ECOG score (1 vs. 0) 0.248 1.765 0.673 4.630
cTnI (M0) <0.001 1.030 1.015 1.044
NT-proBNP (M0) 0.010 1.015 1.004 1.026

Factors predicting cardiotoxicity were determined by univariate logistic regression analysis. P value <0.05 was considered significant. HER2: human epidermal growth factor receptor-2; BMI: body mass index; ECOG: Eastern Cooperative Oncology Group; cTnI: cardiac troponin I; NT-proBNP: N terminal pro B type natriuretic peptide.