Objective To investigate the clinical value of blood urea nitrogen and albumin ratio (B/A) in prognosis assessment of severe patients with gynecological tumors and female breast cancer. Methods General clinical data were collected from the Medical Information Mart for Intensive Care (MIMIC) for gynecological tumors and female breast cancer patients admitted to intensive care unit (ICU). According to the 360 days prognosis,patients were divided into survival group (n=472) and death group (n=388),and the general situation of two groups was compared. Patients were divided into low B/A group (B/A<0.075,n=435) and high B/A group (B/A≥0.075,n=425) based on B/A levels. Kaplan-Meier method was used to plot the survival curve,and Cox risk scale model was established to compare the correlation between B/A and 360 days all-cause death risk. Results The B/A of patients in death group was significantly higher than that in survival group (P<0.05). There was a non-linear trend between B/A and 360 days all-cause death risk (x2=18.790,P<0.001). Survival analysis showed that patients with high B/A had significantly lower cumulative survival than patients with low B/A,both in the general population and in patients with gynecological tumors or female breast cancer (P<0.001). Cox regression analysis suggested that B/A≥0.075 was an independent risk factor for 360 days all-cause death in severe patients with gynecological tumors and female breast cancer (HR=1.529,95％CI:1.197-1.952,P=0.001). Conclusion High B/A at ICU admission is an independent risk factor for increased long-term mortality in severe patients with gynecological tumors and female breast cancer,and helps clinicians and caregivers identify high-risk patients early.

Objective To investigate the clinical value of blood urea nitrogen and albumin ratio (B/A) in prognosis assessment of severe patients with gynecological tumors and female breast cancer. Methods General clinical data were collected from the Medical Information Mart for Intensive Care (MIMIC) for gynecological tumors and female breast cancer patients admitted to intensive care unit (ICU). According to the 360 days prognosis,patients were divided into survival group (n=472) and death group (n=388),and the general situation of two groups was compared. Patients were divided into low B/A group (B/A<0.075,n=435) and high B/A group (B/A≥0.075,n=425) based on B/A levels. Kaplan-Meier method was used to plot the survival curve,and Cox risk scale model was established to compare the correlation between B/A and 360 days all-cause death risk. Results The B/A of patients in death group was significantly higher than that in survival group (P<0.05). There was a non-linear trend between B/A and 360 days all-cause death risk (x2=18.790,P<0.001). Survival analysis showed that patients with high B/A had significantly lower cumulative survival than patients with low B/A,both in the general population and in patients with gynecological tumors or female breast cancer (P<0.001). Cox regression analysis suggested that B/A≥0.075 was an independent risk factor for 360 days all-cause death in severe patients with gynecological tumors and female breast cancer (HR=1.529,95％CI:1.197-1.952,P=0.001). Conclusion High B/A at ICU admission is an independent risk factor for increased long-term mortality in severe patients with gynecological tumors and female breast cancer,and helps clinicians and caregivers identify high-risk patients early.