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. 2021 Aug 24;10(17):3779. doi: 10.3390/jcm10173779

Table 3.

Logistic regression model of variables evaluated as predictive factors of CMV infection in kidney recipients.

Univariate Analysis Multivariate Analysis
Category n CMV Infection
n (%)
OR (95% CI) p Value OR (95% CI) p Value
Gender Male 996 224 (22) 1 (0.8–1.4) 0.7 0.9 (0.7–1.1) 0.583
Female 646 133 (20)
Age Age ≥ 60 468 131 (28) 1.6 (1.1–2.2) 0.003 1.4 (1.1–2) 0.021
Age < 60 1174 226 (19)
Diabetes mellitus Yes 1182 238 (20) 1.2 (0.9–1.7) 0.2
No 443 104 (23)
D+/R- Yes 164 71 (43) 3.7 (2.6–5.4) <0.001 4 (2.5–5.3) <0.001
No 1274 213 (17)
HIV infection Yes 16 1 (6) 0.5 (0.06–4) 0.5
No 1618 354 (22)
Hepatitis C virus infection Yes 165 28 (17) 1 (0.5–1.5) 0.6
No 1474 327 (22)
Prior transplantation Yes 412 80 (19) 1 (0.7–1.4) 0.5
No 1230 227 (22)
Pancreas–kidney transplantation Yes 242 63 (26) 1.8 (1.2–2.7) 0.02 1.8 (1.2–2.7) 0.003
No 1400 294 (21)
Induction treatment Yes 1401 305 (22) 1 (0.9–1.1) 0.3
No 241 52 (22)
Sirolimus use Yes 451 101 (22) 0.7 (0.5–1) 0.1
No 1191 256 (22)
Acute allograft rejection prior CMV infection Yes 489 142 (29) 2 (1.4–2.5) <0.001 2 (1.4–2.4) <0.001
No 1107 171 (15)
Nephrostomy requirement Yes 112 37 (33) 2 (1.3–3.4) 0.002 2 (1.2–3) 0.001
No 1461 253 (17)
Hemodyalisis post transplantation Yes 379 94 (25) 1.4 (1.1–1.8) 0.04 1 (0.9–1.5) 0.062
No 1198 201 (17)