[Effects of donor age and gender on early acute rejection episode in living related donor kidney transplantation].
OBJECTIVE
To identify the risk factors of acute rejection events after living related donor renal transplant.


METHODS
Renal transplantation was performed on 117 patients, 85 males and 32 females, aged 9-57, with the kidneys from 117 donors, 63 males and 54 females, aged (47 +/- 6) (20-65). The cumulative incidence of acute rejection events was respectively evaluated by Kaplan-Meier product-limit method and log-rank test. Cox's proportional hazards model was used to determine the risk factors for acute rejection events.


RESULTS
Follow-up was conducted for 16 (3-44) months. The acute rejection rates 2 and 6 weeks after transplantation of the group with the donor aged > or = 50 were 13.0% and 19.5% respectively, both significantly higher than those of the group with the donor aged < 50 (2.8% and 8.5% respectively, P = 0.010). The risk of being female for acute rejection was 2.731 times as that of being male (95% CI: 1.018-7.326, P = 0.046), and the risk of donor aged > or = 50 for acute rejection was 1.054 times as that of the donors aged < 50 (95% CI: 1.004-1.107, P = 0.020).


CONCLUSIONS
The requirement for selecting elder living kidney donor should be stiff. Injury to the kidney should be avoided when the kidney of an elder donor is removed and transplanted. Early administration of sufficient immunosuppressive agents is necessary to the recipients of the kidney from an old or female living donor.
Zhang
Lei
L
Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Ma
Lin-lin
LL
Ma
Bin-rong
BR
Tian
Ye
Y
D000293:Adolescent; D000328:Adult; D000367:Age Factors; D002648:Child; D005260:Female; D005500:Follow-Up Studies; D006084:Graft Rejection / Q000453:epidemiology*; D006085:Graft Survival; D006801:Humans; D053208:Kaplan-Meier Estimate; D016030:Kidney Transplantation / Q000009:adverse effects; D019520:Living Donors; D008297:Male; D008875:Middle Aged; D016016:Proportional Hazards Models; D011446:Prospective Studies; D012737:Sex Factors