Table 2.

Carbamylation level and risk for clinical outcomes

PredictorUnadjusted model
OR (95% CI)

P-value
Multivariablemodel
OR (95% CI)

P-value
CKD progression cohort carbamylation tertile
3 versus 18.5 (2.6–27.7)<0.0017.9 (1.9–32.8)0.004
2 versus 12.9 (1.2–7.0)0.012.7 (1.1–6.8)0.04
Mortality cohort carbamylation tertile
3 versus 12.2 (0.8–5.9)0.113.4 (1.0–11.4)0.05
2 versus 11.4 (0.6–3.4)0.481.6 (0.6–4.0)0.36
PredictorUnadjusted model
OR (95% CI)

P-value
Multivariablemodel
OR (95% CI)

P-value
CKD progression cohort carbamylation tertile
3 versus 18.5 (2.6–27.7)<0.0017.9 (1.9–32.8)0.004
2 versus 12.9 (1.2–7.0)0.012.7 (1.1–6.8)0.04
Mortality cohort carbamylation tertile
3 versus 12.2 (0.8–5.9)0.113.4 (1.0–11.4)0.05
2 versus 11.4 (0.6–3.4)0.481.6 (0.6–4.0)0.36

OR = odds ratio demonstrating the effect estimates of the association between tertile of carbamylation and CKD progression and mortality, respectively (95% CI). The multivariable models adjust for the only variables that proved different between groups at baseline—BUN and smoking status.

Table 2.

Carbamylation level and risk for clinical outcomes

PredictorUnadjusted model
OR (95% CI)

P-value
Multivariablemodel
OR (95% CI)

P-value
CKD progression cohort carbamylation tertile
3 versus 18.5 (2.6–27.7)<0.0017.9 (1.9–32.8)0.004
2 versus 12.9 (1.2–7.0)0.012.7 (1.1–6.8)0.04
Mortality cohort carbamylation tertile
3 versus 12.2 (0.8–5.9)0.113.4 (1.0–11.4)0.05
2 versus 11.4 (0.6–3.4)0.481.6 (0.6–4.0)0.36
PredictorUnadjusted model
OR (95% CI)

P-value
Multivariablemodel
OR (95% CI)

P-value
CKD progression cohort carbamylation tertile
3 versus 18.5 (2.6–27.7)<0.0017.9 (1.9–32.8)0.004
2 versus 12.9 (1.2–7.0)0.012.7 (1.1–6.8)0.04
Mortality cohort carbamylation tertile
3 versus 12.2 (0.8–5.9)0.113.4 (1.0–11.4)0.05
2 versus 11.4 (0.6–3.4)0.481.6 (0.6–4.0)0.36

OR = odds ratio demonstrating the effect estimates of the association between tertile of carbamylation and CKD progression and mortality, respectively (95% CI). The multivariable models adjust for the only variables that proved different between groups at baseline—BUN and smoking status.

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