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. 2018 Nov 13;48(5):369–377. doi: 10.1159/000494665

Table 2.

Effect estimates of CAC progression for peritoneal dialysis (n = 23) compared to hemodialysis (n = 34) analyzed with linear mixed models as ΔCAC SQRV and with Tobit mixed models, with different multivariate adjustments

Unadjusted CAC SQRV at inclusion* Adjustment for age and gender Full adjustment
ΔCAC SQRV 1.01 (–0.47 to 2.47) 1.22 (0.16 to 2.29) 1.25 (0.19 to 2.33) 1.20 (0.09 to 2.31)
Tobit regression 189 (–81 to 459) 77 (–184 to 338) 106 (–140 to 352)
*

Tobit mixed models could not be adjusted for CAC SQRV at inclusion.

The linear mixed models of ΔCAC SQRV were additionally adjusted for CAC SQRV at inclusion.

Full adjustment included age, sex, diabetes mellitus, dialysis vintage, presence of residual urine production, and vitamin K antagonist use. The linear mixed models of ΔCAC SQRV were additionally adjusted for CAC SQRV at inclusion 95% CI between brackets.

CAC, coronary artery calcification.