Predictive model for 5-year mortality after breast cancer surgery in Taiwan residents

Cancer Communications

Table 2 The analysis of the relationship between effective predictors and 5-year mortality of the 2543 breast cancer patients using the multiple logistic regression (MLR) model

Variable	Univariate analysis		Multivariate analysis
Variable	OR (95% CI)	P value	OR (95% CI)	P value
Age	1.02 (1.02–1.03)	0.001	1.03 (1.03–1.04)	0.001
Charlson comorbidity index	1.18 (1.14–1.22)	0.001	1.15 (1.11–1.20)	0.001
Circulatory system comorbidity
Yes vs. no	1.08 (0.77–1.53)	0.641	0.89 (0.62–1.28)	0.543
Genitourinary system comorbidity
Yes vs. no	0.76 (0.50–1.15)	0.198	0.84 (0.54–1.30)	0.441
Breast cancer surgery type
MRM vs. BCS	1.04 (0.97–1.12)	0.247	1.03 (0.95–1.12)	0.448
MRM + TRAM vs. BCS	1.02 (0.98–1.06)	0.475	1.01 (0.98–1.04)	0.790
Chemotherapy
Yes vs. no	1.57 (1.30–1.90)	0.001	1.92 (1.55–2.38)	0.001
Radiotherapy
Yes vs. no	1.46 (1.11–1.92)	0.006	1.52 (1.13–2.05)	0.006
Hormone therapy
Yes vs. no	0.74 (0.59–0.92)	0.006	0.79 (0.68–0.90)	0.006
Hospital level
Medical center vs. district hospital	0.98 (0.94–1.02)	0.276	0.98 (0.95–1.02)	0.161
Regional hospital vs. district hospital	0.94 (0.86–1.03)	0.149	0.95 (0.89–1.02)	0.092
Surgery volume of hospital	0.94 (0.92–0.96)	0.001	0.95 (0.92–0.98)	0.004
Surgery volume of surgeon	0.93 (0.91–0.96)	<0.001	0.93 (0.90–0.97)	<0.001

OR odds ratio, 95% CI 95% confidence interval, MRM modified radical mastectomy, BCS breast-conserving surgery, TRAM transverse rectus abdominis myocutaneous flap reconstruction. Surgery volume of hospital/surgeon was defined as the percentage of breast cancer surgeries among the total surgeries performed by the respective hospital or surgeon during the study period

ISSN: 2523-3548