Skip to main content
. 2022 Jan 24;41(1):114–123. doi: 10.23876/j.krcp.21.097

Table 6.

Risk factors to predict new-onset coronary artery disease

Variable Crude model
Multivariate model
OR (95% CI) p-value OR (95% CI) p-value
Female sex 0.31 (0.04–2.59) 0.28
Age (yr) 1.02 (1.00–1.17) 0.04
Year of KT 1.13 (0.74–1.71) 0.58
HbA1c (% of THb) 1.35 90.83–2.18) 0.23
Donor age (yr) 0.95 (0.89–1.01) 0.09
Ca (mg/dL) 1.54 (0.66–3.59) 0.32
iPTH (pg/mL) 0.997 (0.99–1.00) 0.24
Body mass index 1.09 (0.90–1.32) 0.37
Dyslipidemia 1.49 (0.36–6.12) 0.58
Causes of ESKD
 Diabetes mellitus 7.07 (1.62–30.93) 0.009 4.73 (1.08–20.77) 0.04
 Glomerulonephritis 0.26 (0.03–2.15) 0.21
Periodontitis stage
 Stage I and II 1.00
 Stage III 1.65 (0.27–10.20) 0.59
 Stage IV 6.20 (1.17–32.89) 0.03

CI, confidence interval; ESKD, end-stage kidney disease; iPTH, intact parathyroid hormone; KT, kidney transplantation; OR, odds ratio.

In the multivariate logistic analysis model, age, male sex, donor age, hemoglobin A1c, iPTH, cause of end-stage renal disease (diabetes mellitus, glomerulonephritis), year of KT, stage of periodontitis were adjusted. Multivariate logistic regression was performed with variables with p-value less than 0.3 in univariate analysis; a backward stepwise selection approach was adopted. All laboratory data were examined prior to KT. Dyslipidemia was defined as those with low-density lipoprotein cholesterol greater than 100 mg/dL or triglyceride greater than 500 mg/dL or under lipid-lowering agent.