Logistic Regression Model in a Machine Learning Application to Predict Elderly Kidney Transplant Recipients with Worse Renal Function One Year after Kidney Transplant: Elderly KTbot

Table 3

Comparison of laboratory covariables between younger and elderly patients one year after kidney transplantation.

Laboratory covariables	<60 years (n = 100)	≥60 years (n = 18)
	n (%)	n (%)
Serum
Haemoglobin (g/dL)	13.2 ± 1.8 (9.1–19); n = 92	13.2 ± 1.6 (9.3–15.7); n = 16	0.988
Phosphorus (mg/dL)	3.5 ± 3.8 (1.3–33); n = 66	3.1 ± 0.6 (2.1–4.1); n = 12	0.983
Calcium (mg/dL)	9.3 ± 2.1 (1.1–13.9); n = 65	9.9 ± 0.9 (8.8–11.6); n = 12	0.683
Albumin (g/dL)	4.3 ± 0.6 (2.9–7.2); n = 43	4.5 ± 0.1 (4.4–4.6); n = 4	0.242
Urinary
Proteinuria >0.3 g/24 h
No	70 (75%)	07 (44%)	0.017
Yes	23 (25%)	09 (50%)
Microalbumin
<30 mg/dL	07 (25%); n = 28	00 (-); n = 4	0.209
30 to 300 mg/dL	06 (21.4%); n = 28	00 (-); n = 4
>300 mg/dL	15 (53.6%); n = 28	04 (100%); n = 4

PRA: panel-reactive antibody; HLA: human leukocyte antigen; DSA: donor-specific antibody. Chi-square test; Fisher’s exact test; Mann–Whitney U test; and Student’s t-test.