Univariate and multivariate logistic regression analysis for reversed dipper blood pressure pattern (1 (1 = not reversed dipper, 2 = reversed dipper)).

(Serum calcium is corrected by the following formula:[serum calcium] (mg/dL) = measured [serum calcium] (mg/dL)+(4.0−[serum albumin(mg/dl)]) ×0.8. Variables of univariate regression include age, sex, eGFR(1 = eGFR≥60 mL/min/1.73 m2; 2 = eGFR2), levels of hemoglobin, serum calcium, phosphate and iPTH, Clinic- SBP and DBP and 24 h-SBP and DBP. All variables with significant associations with blood pressure pattern were included in multivariate regression analysis. DBP: diastolic blood pressure; eGFR: estimated glomerular filtration rate; iPTH: intact parathyroid hormone, SBP: systolic blood pressure).