Skip to main content
. 2015 Mar 27;83(5):262–271. doi: 10.5414/CN108489

Table 2. Multivariate logistic regression models to identify risk factors associated with aortic dilation.

Model 1* Model 2**
Clinical predictor of AD Odds ratio (OR) 95% CI range Clinical predictor of AD Odds ratio (OR) 95% CI range
BMI Z-score 0.52 0.35 – 0.78 BMI Z-score 0.47 0.26 – 0.84
Presence of glomerular disease 4.58 1.45 – 14.46 Presence of glomerular disease 12.34 1.9 – 79
Weight (kg) 0.98 0.96 – 1.01 Weight (kg) 0.98 0.94 – 1.01
SBP index > 1 1.176 0.01 – 250 SBP index >1 1.08 0.1 – 413
DBP index > 1 1.35 0.02 – 118 DBP index >1 6.57 0.04 – 545
Left ventricular mass index 2.7 m2 0.99 0.96- 1.02
Presence of dyslipidemia 0.51 0.09 – 3.01
Ca × P 0.20 0.04 – 1.5
Hgb 0.86 0.48 – 1.55
iPTH 1.00 0.99 – 1.01
Albumin 0.32 0.10 – 1.03

BMI = body mass index; BP = blood pressure; Ca × P = calcium × phosphorus product; DBP = diastolic blood pressure; Hgb = hemoglobin; iPTH = parathyroid hormone; SBP = systolic blood pressure. *Model 1 includes the covariates of p-vales ≤ 0.15 in univariate analysis (Table 1). The hemodialysis parameters of normalized interdialytic weigh gain and normalized ultrafiltration were not included in the model because these values are available for less than 50% of the cohort (37/97 patients). **Model 2 includes the variables in model 1 in addition to other clinical variables that are known to be associated with cardiovascular and morbidity risk in ESRD population.