Copyright
©The Author(s) 2016.
World J Cardiol. Feb 26, 2016; 8(2): 220-230
Published online Feb 26, 2016. doi: 10.4330/wjc.v8.i2.220
Published online Feb 26, 2016. doi: 10.4330/wjc.v8.i2.220
Figure 2 Regression analysis for risk factors associated with anemia.
A: Classification tree with significant node-splits and distribution of patients with anemia. A creatinine > 1.1 mg/dL (P < 0.001) and age > 83 (P = 0.027) were found to be statistically relevant risk factors for anemia; B: Logistic regression with all covariables which were supposed to be associated with anemia. Forest plot with odds ratios and 95%CI (logarithmic scale); C: Logistic regression with the best selected covariables using AIC. A creatinine > 1.1 mg/dL (P < 0.001) and age > 83 (P = 0.001) were found to be statistically relevant risk factors for anemia. a: Years; AIC: Akaike information criterion; CAD: Coronary artery disease; CKD: Chronic kidney disease; Crea pre: Creatinine (mg/dL) preoperative; DM: Diabetes mellitus; LVEF: Left ventricular ejection fraction (%).
- Citation: Hellhammer K, Zeus T, Verde PE, Veulemanns V, Kahlstadt L, Wolff G, Erkens R, Westenfeld R, Navarese EP, Merx MW, Rassaf T, Kelm M. Red cell distribution width in anemic patients undergoing transcatheter aortic valve implantation. World J Cardiol 2016; 8(2): 220-230
- URL: https://www.wjgnet.com/1949-8462/full/v8/i2/220.htm
- DOI: https://dx.doi.org/10.4330/wjc.v8.i2.220