Red cell distribution width in anemic patients undergoing transcatheter aortic valve implantation

Figure 1 Regression analysis for risk factors associated with 30-d mortality. A: Results from the classification tree with significant node-splits and distribution of patients. Life-threatening bleeding (P < 0.001) and acute kidney injury (P = 0.002) were found to be statistically relevant risk factors for 30-d mortality; B: Logistic regression with all covariables which were supposed to be associated with 30-d mortality. Forest plot with odds ratios and 95% confidence intervals (logarithmic scale); C: Logistic regression with the best selected covariables using AIC. Life-threatening bleeding (P < 0.001), acute kidney injury post procedure (P = 0.018) and RDW (P = 0.044) were found to be statistically relevant risk factors for 30-dmortality. AIC: Akaike information criterion; AKI stage post: Acute kidney injury stage I-III post; CAD: Coronary artery disease; Cavk: Cerebroarterial vascular disease; COPD: Chronic obstructive pulmonary disease; DM: Diabetes mellitus; ES log: Logistic EuroSCORE; LT bleeding: Life-threatening bleeding; NYHA: New York Heart Association; pAVK: Peripheral vascular disease; RDW: Red cell distribution width.