Table 1.
Baseline characteristics of critical patients with low and high RDW.
Table 2.
Association between RDW and RDW group and breast cancer in multiple regression model.
Fig 1.
A linear relationship between RDW with all-cause (A) and cardiovascular mortality (B) among breast cancer visualized by restricted cubic spline.
The association of RDW with all-cause (A) and cardiovascular mortality (B) among breast cancer visualized by restricted cubic spline. Hazard ratios were adjusted age, race, marital status, PIR, BMI, hypertension, diabetes, hyperlipidemia, heart failure, cardiovascular disease, angina, hormone replacement therapy, diabetes family history. MCV, HbA1c, Total cholesterol, High density lipoprotein, Serum creatinine, eGFR. Abbreviation: RDW, red blood cell distribution width;.
Fig 2.
Kaplan–Meier curves of the survival rate with high (<12.68%) and low (≥12.68%) RDW values.
A. All-cause mortality; B. Cardiovascular mortality. Abbreviation: RDW, red blood cell distribution width.
Fig 3.
Forest plot depicting the association between the RDW and the risk of all-cause mortality.
Abbreviation: PIR: Poverty income ratio; BMI: body mass index; eGFR: estimated glomerular filtration rate; RDW, red blood cell distribution width.
Fig 4.
Time-dependent ROC curves and time-dependent AUC values.
Time-dependent ROC curves and time-dependent AUC values (with 95% confidence band) of the RDW for predicting all-cause mortality (A, B), cardiovascular mortality (C, D).