Significant determinants of serum glucose and phosphate concentrations.

All parameters scoring P ≤0.2 in univariate analyses underwent multivariate modelling and correction for the influence of potentially confounding parameters. Confounding parameters for serum glucose concentration entered into the multivariate stepwise linear regression model were gender, the presence of diabetes, age, body mass index, glucocorticoid and tacrolimus therapy, and transplantation vintage. Serum phosphate concentrations were adjusted for the effect of estimated glomerular filtration rate (eGFR), creatinine, calcium, 1,25-dihydroxyvitamin D, gender, parathyroid hormone concentrations, and calcium and vitamin D supplementation. Multivariate modelling demonstrated the presence of diabetes and the homozygous minor allele of the A986S SNP as independent predictors of serum glucose concentrations. Estimated GFR, serum calcium, parathyroid hormone, 1,25-dihydroxyvitamin D concentrations and the heterozygous form of the rs115759455 SNP were revealed to be independent predictors of serum phosphate concentrations. P-values (P) are displayed following Bonferroni correction. B, regression coefficient; CI, confidence interval.
Significant determinants of serum glucose and phosphate concentrations.