A Statistical Prediction Model for Survival After Kidney Transplantation from Deceased Donors

01 January 2022: Clinical Research

Jia-shan Pan ^AE* , Yi-ding Chen ^BC* , Han-dong Ding ^B , Tian-chi Lan ^B , Fei Zhang ^B , Jin-biao Zhong ^A* , Gui-yi Liao ^AF*

DOI: 10.12659/MSM.933559

Med Sci Monit 2022; 28:e933559

Table 2 Mortality prediction factors after renal transplantation from deceased donors.

Intercept and variable	Prediction model
Intercept and variable	β	Odds ratio (95% CI)	P value
Intercept	−0.048434479	–	–
ALT	1.014970879	0.374 (0.114–1.234)	0.107
AST	−1.0074237	0.396 (0.134–1.172)	0.094
K	−0.901313348	2.670 (0.810–8.801)	0.107
Na	0.253284105	5.300 (1.747–16.076)	0.003
CL	1.337102781	2.341 (0.793–6.911)	0.123
HCO	0.116566477	0.405 (0.138–1.188)	0.1
WBC	0.936491019	4.485 (0.568–35.414)	0.155
Neut percent (%)	0.15969338	0.198 (0.025–1.563)	0.125
Neut	0.989369372	6.473 (0.824–50.821)	0.076
Lymph	2.398045198	3.322 (0.719–15.346)	0.076
Donor age	−4.708927326	0.333 (0.101–1.097)	0.071
Recipient age	−1.276791069	6.889 (2.094–22.664)	0.001
Creatinine	2.695701102	1.900 (0.641–5.634)	0.247
Tbil	−1.22284321	0.341 (0.114–1.016)	0.053
ALB	2.81272309	0.191 (0.024–1.505)	0.116
GLOB	0.03499988	5.629 (0.716–44.274)	0.101
A/G	−1.17791127	0.565 (0.193–1.657)	0.298
Mono	0.775643153	0.604 (0.206–1.767)	0.357
EO	−0.949786076	2.209 (0.744–6.559)	0.153
HB	1.261946945	2.933 (0.829–10.382)	0.095
sex	0.236663003	–	–
Pt-DM	−2.037823506	–	–
β is the regression coefficient. CI – confidence interval; Neut – neutrophil; Tbil – total bilirubin; ALB – albumin; GLOB – globulin; A/G – ratio of albumin to globulin; Mono – neutrophile percent; Lymph – monocytes; EO – eosinophilic; HB – hemoglobin; pt-DM – pre-transplant diabetes mellitus.