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Recipient, Donor, and Kidney Transplant Characteristics of the Enrolled Population (n [ 232)

Recipient, Donor, and Kidney Transplant Characteristics of the Enrolled Population (n [ 232)

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Background: Long-term function of transplanted kidney is the factor determining quality of life for transplant recipients. The aim of this study was to evaluate the effect of selected factors on time of graft function after renal transplantation within 15 years of observation. Methods: Preoperative and intraoperative factors were analyzed in 232...

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... rate was 46.9%, with accurate graft function at day 180 in 92% of recipients. Study population characteristics are presented in Table 1. A univariate Cox regression proportional hazards model showed a statistically significant relationship between DGF, acute rejection, and serum creatinine level in the post- operative period and long-term graft function, as presented in Table 2. ...

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... Most of the times, kidney transplantation is the best treatment option for those with ESRD. Successful transplantation for these patients ensures much greater survival chances and a higher quality of life compared with dialysis (2). Immunosuppression, concurrent diseases such as diabetes, urinary reflux disease, and elderly age make kidney transplant recipients particularly prone to infections (3). ...
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Background: End-stage renal disease (ESRD) needs replacement therapy and most often, kidney transplantation is the best therapeutic option. Urinary tract infection (UTI) is one of the most important complications after renal transplantation that affects transplantation outcomes. Objectives: This study aimed to define the incidence rate, UTI risk factors among kidney transplant recipients, and causative organism of UTI and their antibiotic susceptibility. Methods: In this cross-sectional study, we collected clinical, demographic, and laboratory data from 268 transplant recipients in Ali-Asghar Hospital from 2011 - 2018. Data collected from patients were analyzed with SPSS software version 25. Results: According to the results, 50 (18.7%) had UTI in the first year after renal transplantation. Female gender and underlying cause of renal failure were predisposing factors for UTI. The most common causative organism was Escherichia coli (58.4%). The antibiotic susceptibility results showed nitrofurantoin and meropenem as the most effective antibiotics for Escherichia coli. Conclusions: The UTI was more common in women and patients with analgesic nephropathy and lupus nephritis. The most common causative organism was E. coli and meropenem and nitrofurantoin were the most effective drug choices.
... Several studies have shown SCr as a predictor of long-term outcomes. 3,4,7,[11][12][13][14][15] The level of SCr at discharge from hospital has been shown to be a predictor of long-term renal graft outcome. 3 SCr at 90 days after transplant is a predication factor of late graft dysfunction. ...
... 3 SCr at 90 days after transplant is a predication factor of late graft dysfunction. 4 Donor age has been shown to be a predictor of long-term outcome. [16][17][18] Interesting observation in our study was the fact that the mean donor age in Group G4 (SCr ≥176.9 µmol/L) was 42.07 ± 10.49 as compared to G1 (SCr ≤88.4 µmol/L) of 30.10 ± 8.54 years (P <0.001). ...
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This study was carried out to determine the impact of one-year posttransplant serum creatinine (SCr) levels on the long-term outcomes of living-related donor kidney transplants. A retrospective cohort study included 773 adult living-related renal transplant recipients from 2010 to 2012, with a minimum follow-up period of five years. Demographics and posttransplantation follow-up data including immunosuppression regimens, rejection episodes, and survival rates were evaluated. Patients were divided into four cohorts (G1, G2, G3, and G4 based on SCr at the end of the 1st year: G1, SCr <88.4 μ mol/L; G2, 88.5≤ SCr ≤ 132.6 μmol/L; G3, 132.7≤ SCr ≤176.8 mol/L; and G4, SCr ≥176.9 μ mol/L). Comparisons between the groups used the Chi-square test for qualitative parameters and analysis of variance for continuous variables. Five-year graft survival for G1 was 98% as compared to 76% in G4 (P <0.001). Recipients of G4 encountered more acute rejection episodes in 21% of the cases as compared to 7.3% in G1 (P = 0.001). Donors were older in G4 (42.07 ± 10.4 years) as compared to G1 (30.1 ± 8.5 years) (P = 0.001). A third of the donors in G1 were HLA identical as compared to 7% in G4. Prediction of long-term graft survival is possible by the SCr level at one year post transplant. This can be of great importance, especially to identify those patients who require close monitoring in follow-up. Donor age, HLA, and acute rejection impact SCr at one year and hence graft outcome.
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