Cox proportional hazards regression analysis
breast cancer
REGRESSION, METASTASIS, BONE METASTASES, BREAST CANCER
In the training cohort, after univariate Cox regression analysis, 20 variables were significantly associated with OS, including age, ER status, other organ metastasis, and some laboratory test factors consisting of LDH, ALP, GGT, ALB, GLB, BUN, CREAT, UA, WBC, RBC, HGB, MCV, MCH, MCHC, LY%, MO%, and NE%. We drafted Kaplan-Meier survival curve to show that the different levels of laboratory examination indicators had significant impacts on the OS of patients (all Kaplan-Meier survival curve to show that the different levels of laboratory examination indicators had a significant impact on the OS of patients.After controlling for confounding variables with multivariate Cox regression, a prognostic model was constructed. In this model (Univariate and multivariate Cox regression analysis in breast cancer patients with bone metastases.HR: hazard ratio; CI: confidence interval; ER: estrogen receptor; PR: progesterone receptor; Her2: human epidermal growth factor receptor 2; LDH: lactate dehydrogenase; ALP: alkaline phosphatase; GGT: γ-glutamyl transpeptidase; TP: total protein; ALB: albumin; GLB: globulin; GLU: glucose; BUN: blood urea Nitrogen; CREAT: creatinine; UA: uric acid; Ca: calcium; Pi: serum phosphonium; WBC: white blood cell count; RBC: red blood cell count; HGB: hemoglobin; HCT: red blood cell specific volume; MCV: mean corpuscular volume; MCH: mean corpuscular hemoglobin; MCHC: mean corpuscular hemoglobin concentration; PLT: platelet; LY%: lymphocyte ratio; MO%: Monocyte ratio; NE%: neutrophil ratio; Surgery: surgery of the primary site; Radiation therapy: radiation of the primary site. The bold values were considered statistically significant.