Table 2.

Multiple logistic regression model

		95% CI
Variables	OR	Lower	Upper	P-value
Age at registration on waiting list	1.0	0.97	1.04	0.979
Sex (1 = male)	0.42	0.16	1.05	0.063
Cardiovascular disease	0.44	0.13	1.46	0.179
Diabetes mellitus	0.53	0.17	1.68	0.277
Language difficulties	0.20	0.06	0.61	0.005
Months between first nephrology contact and CKD 5	1.01	1.00	1.02	0.034
Hospitalization days between CKD 5 and start workup	0.79	0.69	0.89	<0.001

Multiple logistic regression model predicting the likelihood of starting the transplant workup before the start of dialysis (dependent variable = starting the transplant workup before starting dialysis). The model classified 81% of cases correctly. The Nagelkerke pseudo-R² was 59%.