Year Of Kidney Transplantation Research Articles

Post-Transplant Glomerulonephritis: Challenges and Solutions.

Glomeruli can be damaged in several conditions after kidney transplantation, with a potential impact on the graft function and survival. Primary glomerulonephritis, a group of glomerular immunological damage that results in variable histological patterns and clinical phenotypes, can occur in kidney transplant recipients as a recurrent or de novo condition. Specific immunologic conditions associated with kidney transplantation, such as acute rejection episodes, can act as an additional trigger after transplantation, impacting the incidence of these glomerulopathies. The post-transplant GN recurrence ranges from 3% to 15%, varying according to the GN subtype and post-transplant time, mainly occurring after 3-5 years of kidney transplantation. Advances in the knowledge of glomerulonephritis pathophysiology have provided new approaches to pre-transplant risk evaluation and post-transplant monitoring. Glomeruli can be affected by several systemic viral infections, such as human immunodeficiency virus (HIV), hepatitis C virus (HCV), hepatitis B virus (HBV), severe acute respiratory syndrome coronavirus 2 (SARS-COV-2), cytomegalovirus (CMV), and BK virus. The diagnosis of these infections, as well as the identification of possible complications associated with them, are important to minimize the negative impacts of these conditions on kidney transplant recipients' outcomes.

An update on the global disparities in kidney disease burden and care across world countries and regions

Since 2015, the International Society of Nephrology (ISN) Global Kidney Health Atlas (ISN-GKHA) has spearheaded multinational efforts to understand the status and capacity of countries to provide optimal kidney care, particularly in low-resource settings. In this iteration of the ISN-GKHA, we sought to extend previous findings by assessing availability, accessibility, quality, and affordability of medicines, kidney replacement therapy (KRT), and conservative kidney management (CKM). A consistent approach was used to obtain country-level data on kidney care capacity during three phases of data collection in 2016, 2018, and 2022. The current report includes a detailed literature review of published reports, databases, and registries to obtain information on the burden of chronic kidney disease and estimate the incidence and prevalence of treated kidney failure. Findings were triangulated with data from a multinational survey of opinion leaders based on the WHO's building blocks for health systems (ie, health financing, service delivery, access to essential medicines and health technology, health information systems, workforce, and governance). Country-level data were stratified by the ISN geographical regions and World Bank income groups and reported as counts and percentages, with global, regional, and income level estimates presented as medians with interquartile ranges. The literature review used information on prevalence of chronic kidney disease from 161 countries. The global median prevalence of chronic kidney disease was 9·5% (IQR 5·9-11·7) with the highest prevalence in Eastern and Central Europe (12·8%, 11·9-14·1). For the survey analysis, responses received covered 167 (87%) of 191 countries, representing 97·4% (7·700 billion of 7·903 billion) of the world population. Chronic haemodialysis was available in 162 (98%) of 165 countries, chronic peritoneal dialysis in 130 (79%), and kidney transplantation in 116 (70%). However, 121 (74%) of 164 countries were able to provide KRT to more than 50% of people with kidney failure. Children did not have access to haemodialysis in 12 (19%) of 62 countries, peritoneal dialysis in three (6%) countries, or kidney transplantation in three (6%) countries. CKM (non-dialysis management of people with kidney failure chosen through shared decision making) was available in 87 (53%) of 165 countries. The annual median costs of KRT were: US$19 380 per person for haemodialysis, $18 959 for peritoneal dialysis, and $26 903 for the first year of kidney transplantation. Overall, 74 (45%) of 166 countries allocated public funding to provide free haemodialysis at the point of delivery; use of this funding scheme increased with country income level. The median global prevalence of nephrologists was 11·8 per million population (IQR 1·8-24·8) with an 80-fold difference between low-income and high-income countries. Differing degrees of health workforce shortages were reported across regions and country income levels. A quarter of countries had a national chronic kidney disease-specific strategy (41 [25%] of 162) and chronic kidney disease was recognised as a health priority in 78 (48%) of 162 countries. This study provides new information about the global burden of kidney disease and its treatment. Countries in low-resource settings have substantially diminished capacity for kidney care delivery. These findings have major policy implications for achieving equitable access to kidney care. International Society of Nephrology.

Risk Factors and Causality of Early Graft Loss in Kidney Transplanted Patients in Northwestern Iran: A 10-Year Retrospective Study

Background: Early graft loss (EGL) is one of the rare complications of kidney transplantation. Several factors play a role in the occurrence of EGL in kidney transplant recipients, which must be identified and limited. Objectives: This ten-year retrospective study was conducted in a single center on 32 kidney transplant recipients with EGL to determine the reasons for and risk factors of kidney transplant rejection in Iran. Methods: This descriptive-analytical study’s population included 605 kidney transplant recipients receiving kidneys during the last ten years in our center. The diagnosis of EGL was based on renal allograft biopsy examination and primary clinical complications, including a rapid increase in serum creatinine. The age, gender, blood group, and rhesus (Rh) of both donors and recipients, as well as the kinship between the donor and recipient (relative and non-relative), right/left-sided living donor/recipient kidneys, primary kidney disease, the presence of underlying disease in the recipient, dialysis duration, the year of kidney transplantation, transplant survival time, patient survival time, and complications (surgery and others) were gathered. The data were analyzed using SPSS version 18. Results: In this study, 32 out of 605 kidney transplant recipients (5.28%) experienced EGL (53.1% male and 46.9% female, average age of 41.12 years). The duration of kidney function after transplantation was 5.56 ± 0.13 days. The transplanted kidneys were functional between 72 hours and one week after transplantation in 34.4% of the patients. The causes of EGL were found to be tissue rejection in 31.3% of the patients and vascular thrombosis and hyperacute rejection in 21.8%. Nephrectomy occurred in 41% of the patients, and 43.75% died because of a heart attack. Conclusions: Our findings supported previous studies' results, suggesting that EGL is associated with receiving an incompatible kidney transplant and surgery-related complications, including bleeding and thrombosis.

Eye Lesions in Patients After One Year of Kidney Transplantation.

Determine the incidence of some eye lesions in kidney transplant patients after one year at Military Hospital 103 and comment on related factors. A cross-sectional study description of 111 kidney transplant patients (222 eyes) at Military Hospital 103. We assessed several eye lesions, including dry eyes, corneal conjunctival calcification, cataracts, and retinopathy. The rate of retinopathy was 84.7%, dry eye was 59.5%, cataract was 29.7%, and corneal conjunctival calcification was 24.8%, atrophy optic nerve was 9.9%, epiretinal membrane was 1.8%. Post-transplant influence factors associated with cataracts include the dose of prednisolone (OR= 1.6, p < 0.05) and post-transplant diabetes (OR=1.4, p < 0.05). The influence factor related to the atrophy of the optic nerve is systemic infection after transplantation (OR=2.4, p < 0.05). Retinopathy accounted for the highest rate, followed by dry eye disease; cataracts ranked third; and finally, calcified corneal conjunctiva. Factors that affect cataracts are diabetes mellitus and prednisolone dose. Factors affecting optic nerve atrophy are infections after kidney transplantation.

Tacrolimus and Mycophenolic Acid Exposure Are Associated with Biopsy-Proven Acute Rejection: A Study to Provide Evidence for Longer-Term Target Ranges.

Evidence to define target ranges for tacrolimus (Tac) and mycophenolic acid (MPA) exposure after the first year of kidney transplantation is limited. We investigated the association of measurements at 1 year and repeated measurements of real-world Tac-trough levels (C0 ) and abbreviated area under the curve from zero to 12 hours (AUC0-12h ) of Tac and MPA with biopsy-proven acute rejection (BPAR) between years 1 and 3 post-transplant in 968 kidney transplant recipients (KTRs). Thirty-five (3.6%) out of 968 KTRs experienced BPAR. Both Tac-AUC0-12h (hazard ratio (HR): 0.39, 95% confidence interval (CI): 0.30-0.50, P < 0.001), Tac-C0 (HR: 0.46, 95% CI: 0.38-0.57, P < 0.001) and MPA-AUC0-12h at 1 year (HR: 0.80, 95% CI: 0.68-0.94, P = 0.006), as well as repeated measurements of Tac-C0 (HR: 0.70, 95% credibility interval (CrI): 0.61-0.82, P < 0.001), and of MPA-AUC0-12h (HR: 0.75, 95% CrI: 0.62-0.93, P < 0.001) were associated with BPAR. In our population, the recommended target range for Tac-AUC0-12h at 1 year would be 75-95 ng*hour/mL and a Tac-C0 5-7 ng/mL. The Tac-AUC0-12h predicted BPAR better than Tac-C0 and identified KTRs with over- or underexposure despite supposedly adequate Tac-C0 . We did not find evidence to recommend another target than the consensus range of 30-60 mg*hour/L for MPA-AUC0-12h after the first year of transplantation. To our knowledge, this is a first study on the simultaneous exposure of Tac and MPA at year 1 and subsequent BPAR up to year 3, which may help define the therapeutic target window for the longer term.

Role of Systemic Inflammatory Markers in Pediatric Kidney Transplantation

BackgroundNeutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), systemic immune-inflammation index (SII = N × P/L), and neutrophil percentage-albumin ratio (NPAR) have become accepted markers of inflammation in recent years. These indices are used as indicators of disease activity, mortality, and morbidity in many diseases. This study evaluated the relationship between inflammatory indices and graft function in pediatric kidney transplant recipients. MethodsMedical records of pediatric patients who underwent kidney transplantation at Ege University between 1995 and 2020 were reviewed retrospectively. Demographic, clinical, and laboratory data were recorded during the third month, first year, and fifth year of transplantation and at the last visit. ResultsThe median age of the 119 patients (60 boys/59 girls) at the time of transplantation was 154 months, and the median follow-up period was 101 months. According to Spearman correlation analysis, patients' final creatinine levels were positively correlated with NLR (r = 0.319), PLR (r = 0.219), SII (r = 0.214), and NPAR (r = 0.347) of the last visit; final estimate glomerular filtration rate levels were negatively correlated with NLR (P = .010, r = −0.250) and NPAR (P = .004, r = −0.277). The median NPAR of the patients with chronic allograft dysfunction at the last visit was found to be statistically significantly higher than without (P = .032). ConclusionNLR, PLR, SII, and NPAR values are correlated with creatinine levels after 5 years of kidney transplantation. The NPAR and final creatinine levels had the highest correlation coefficient among these inflammatory markers. These results suggest that inflammatory markers, especially NPAR, may be a candidate to be an indicator of ongoing inflammation in the graft.

Urinary neutrophil gelatinase-associated lipocalin as graft dysfunction predictor at one year of kidney transplantation

Urinary neutrophil gelatinase-associated lipocalin as graft dysfunction predictor at one year of kidney transplantation

Experience and Utility of the Protocol Kidney Biopsy in the First Year of Kidney Transplantation

Protocol kidney biopsy (PKB) in kidney transplant is a useful tool for graft monitoring because the subclinical detection of histologic lesions helps to modulate immunosuppression. We analyze our experience. We performed a descriptive study that analyzed the PKB results at the fourth to sixth month and the first year post transplant of patients with kidney transplant followed in our hospital between January 2015 and June 2021. A total of 100 patients and 134 biopsy results were included, of which 71 were obtained between the fourth and sixth month and 63 at the first year. The mean age was 57.8 years, and 66% were men. Unknown etiology was the most common underlying kidney disease (31%), followed by diabetes mellitus (15%) and polycystic kidney disease (14%). A total of 80% had panel-reactive antibody < 50%. Induction therapy consisted of thymoglobulin (51%) and basiliximab (49%), and maintenance therapy consisted of corticosteroids and tacrolimus (100%), mycophenolate mofetil (82%), and mammalian target of rapamycin inhibitor (18%). Of the total of the PKB results (n=134), 19 episodes of subclinical rejection (14%) and 10 with borderline changes (7.4%) were observed. Regarding other findings, there were cases of nephrocalcinosis (4.4%), immunoglobulin A nephropathy (2.2%), and BK nephropathy (1.5%). The PKB brought about a change in the therapeutic attitude in 45 cases (33%) of the total number of biopsies, the most frequent change being the administration of boluses of methylprednisolone (12.6%) and the change to mammalian target of rapamycin inhibitor (8.9%). In our experience, PKB is a useful tool for monitoring and evaluating histologic changes without clinical expression in the kidney graft, allowing us to adapt the treatment during the first year of kidney transplant.

P8.044: Factors Contributing to Acute Rejection Within One Year of Kidney Transplantation With a Perspective of Tacrolimus Trough Level; A Nationwide Cohort Study

P8.044: Factors Contributing to Acute Rejection Within One Year of Kidney Transplantation With a Perspective of Tacrolimus Trough Level; A Nationwide Cohort Study

MO961: Mineral Metabolism Parameters and Bone Density During The First Year of Kidney Transplantation

Abstract BACKGROUND AND AIMS We evaluated retrospectively in a cohort of kidney-transplanted patients (KTxp), the variations of mineral metabolism (MM) parameters, femoral and vertebral bone density during the first year of kidney transplantation (KTx). METHOD 383 KTxp (M = 232), up to the 650 transplanted in our Department (2004–2017) were studied. At 1st(T1) and 12th(T2) mth of KTx biochemical, femoral and vertebral dual-energy X-ray absorption (DEXA) data were recorded. T-score (Ts) -1 &amp;gt;Ts &amp;gt; -2.5 was considered Osteopenia (F-OPN/V-OPN) and Ts &amp;lt; -2.5 osteoporosis (F-OPS/V-OPS). RESULTS The KTxp age and dialysis vintage (DV) were 48 ± 12 years and 53 ± 25 months; 67% of KTxp had a history of hemodialysis. In 82.5% of cases, a donor deceased KTx (DD) was performed and in 40% of KTxp had a previous history of steroid therapy. During the first year of KTx 91% and 93% of KTxp received respectively calcineurin inhibitors and mycophenolate, and the steroids cumulative dose (SCD) was 2683 ± 926 mg. At T1, cholecalciferol and calcifediol were supplemented in 5% and 8% of KTxp, and AT T12 in 12% and 15% of KTxp. An increase in BMI (23 ± 3 versus 24 ± 3 kg/m2 P &amp;lt; 0.0001), Ca (9.82 ± 0.83 versus 9.9 ± 0.73 mg/dL, P &amp;lt; 0.0001), P (2.4 ± 0.96 versus 3.1 ± 0.61 mg/dL, P  &amp;lt; 0.0001), 25OH-D (14.4 ± 6.81 versus 18.8 ± 9.7 ng/mL, P  &amp;lt; 0.0001), Hb (11.0 ± 1.4 versus 12.8 ± 1.5 g/dL, P  &amp;lt; 0.0001), albumin (4.2 ± 0.38 versus 4.46 ± 0.35 g/dL, P  &amp;lt; 0.0001) was observed. Serum creatinine (1.41 ± 0.4 versus 1.37 ± 0.3 mg/dL, P = 0.03), PTH (87 ± 73 versus 79 ± 86 pg/mL, P = 0.06 and ALP (107 ± 92 versus 93 ± 58 U/L, P  &amp;lt; 0.0001) had a reduction. Femoral bone mineral density (F-BMD) at T1 and F-Ts-T1 were 0.749 ± 0.17 g/cm2 and -1.55 ± 1.06. F-OPS-T1 was present in 17.5% and F-OPN-T1 in 53% of KTxp. F-BMD-T1 correlated directly with BMI-T1 (P  &amp;lt; 0.0001) and inversely with 25OH-D-T1 (P  &amp;lt; 0.004). F-Ts-T1 was inversely correlated with DV (P = 0.04), BMI-T1 (P &amp;lt;0.0001) and PTH-T1 (P = 0.02). KTxp with F-OPS-T1 had longer DV and lower BMI (P = 0.02). At T12, F-BMD-T12 and F-Ts-T12 were 0.77 ± 0.67 g/cm2 (P = 0.17 versus F-BMD-T1) and −1.4 ± 0.9 (P = 0.002 versus F-Ts-T1).F-OPS-T12 was present in 13.2% of patients and F-OPN-T1 in 55.2%. F-BMD-T12 correlated directly with BMI-T12 (P  &amp;lt; 0.04). F-Ts-T12 correlated inversely with DV (P = 0.004), Ca at T1 (P = 0.001) and T12 (P = 0.0005) and with [SCD at T12 (P = 0.02)]. Patients with F-OPS-T1 had longer DV (P = 0.004) and higher PTH at T1 and T12 (P = 0.04 and P = 0.08). F-DEXA category worsened in 3.5% of KTxp. At T1, V-BMD-T1 and V-Ts-T1 were 0.92 ± 0.19 g/cm2 and −1.5 ± 1.58. V-OPS-T1 was present in 30% of KTxp and V-OPN-T1 in 34.5%. V-BMD-T1 correlated directly with BMI-T1 (P  &amp;lt; 0.0001) and Ca-T1 (P = 0.04). V-Ts-T1 was inversely correlated with DV (P = 0.04), PTH-T1 (P = 0.02), Ca-T1 (P = 0.03), ALP-T1 (P = 0.01). A direct correlation between V-Ts-T1 and BMI-T1 (P  &amp;lt; 0.0001) and 25OHD-T1 (P = 0.02) was present. V-OPS-T1 was more prevalent in males (P = 0.01).They had lower BMI (P  &amp;lt; 0.0001), albumin (P = 0.02) and higher Ca-T1 (P = 0.008) and ALP-T1 (P = 0.03).  At T12, V-BMD-T12 and V-Ts-T12 were 0.90 ± 0.22 g/cm2 and −1.5 ± 1 .33 (both NS versus T1). V-OPS-T12 was present in 27.7% of KTxp and V-OPN-T12 in 37.2%. V-BMD-T12 correlated directly with BMI-T1 and T12 (P  &amp;lt; 0.0001 and P = 0.005) and inversely with Ca-T12 (P = 0.03) and SCD-T12 (P = 0.04). V-Ts-T12 was inversely correlated with DV (P = 0.004), SCD-T12 (P = 0.02) and with Ca at T1 (P = 0.001) and T12 (P = 0.0005). A direct correlation was found with BMI-T1 and T12 (P = 0.0002 and P = 0.001). V-OPS-T12 was more prevalent in DD (P = 0.001). They were older (P = 0.01), had longer DV (P = 0.01). BMI-T1 and T12 were lower in V-OPS-T12 (P = 0.002 and P = 0.03) and Ca-T12 higher (P = 0.01). SCD-T12 was higher in V-OPN-T12 and V-OPS-T12 (P = 0.05). V-DEXA category worsened in 32% of KTxp. CONCLUSION In the first year of KTx several modifications of MM are present. Both femoral and vertebral DEXA seem to be strongly related to the pre-KTx status, in particular, nutritional status and dialysis vintage are related to bone status at T1. Strong importance on T12 evaluation is taken by the SCD.

The importance of the first year of kidney transplantation in the presence of left ventricular hypertrophy

The importance of the first year of kidney transplantation in the presence of left ventricular hypertrophy

Do Exercise, Physical Activity, Dietetic, or Combined Interventions Improve Body Weight in New Kidney Transplant Recipients? A Narrative Systematic Review and Meta-Analysis

Weight gain within the first year of kidney transplantation is associated with adverse outcomes. This narrative systematic review and meta-analysis examines the effect of exercise, physical activity, dietary, and/or combined interventions on body weight and body mass index (BMI) within the first year of kidney transplantation. Seven databases were searched from January 1985 to April 2021 (Prospero ID: CRD42019140865), using a ‘Population, Intervention, Controls, Outcome’ (PICO) framework. The risk-of-bias was assessed by two reviewers. A random-effects meta-analysis was conducted on randomized controlled trials (RCTs) that included post-intervention body weight or BMI values. Of the 1197 articles screened, sixteen met the search criteria. Ten were RCTs, and six were quasi-experimental studies, including a total of 1821 new kidney transplant recipients. The sample sizes ranged from 8 to 452. Interventions (duration and type) were variable. Random-effects meta-analysis revealed no significant difference in post-intervention body weight (−2.5 kg, 95% CI −5.22 to 0.22) or BMI (−0.4 kg/m2, 95% CI −1.33 to 0.54). Despite methodological variance, statistical heterogeneity was not significant. Sensitivity analysis suggests combined interventions warrant further investigation. Five RCTs were classified as ‘high-risk’, one as ‘some-concerns’, and four as ‘low-risk’ for bias. We did not find evidence that dietary, exercise, or combined interventions led to significant changes in body weight or BMI post kidney transplantation. The number and quality of intervention studies are low. Higher quality RCTs are needed to evaluate the immediate and longer-term effects of combined interventions on body weight in new kidney transplant recipients.

Intrapatient Variability in Tacrolimus Trough Levels Over 2 Years Affects Long-Term Allograft Outcomes of Kidney Transplantation.

This study aimed to determine the impact of tacrolimus (TAC) trough level (C0) intrapatient variability (IPV) over a period of 2 years after kidney transplantation (KT) on allograft outcomes. In total, 1,143 patients with low immunologic risk were enrolled. The time-weighted coefficient variability (TWCV) of TAC-C0 was calculated, and patients were divided into tertile groups (T1: < 24.6%, T2: 24.6%–33.7%, T3: ≥ 33.7%) according to TAC-C0-TWCV up to post-transplant 1st year. They were classified into the low/low, low/high, high/low, and high/high groups based on a TAC-C0-TWCV value of 33.7% during post-transplant 0–1st and 1st–2nd years. The allograft outcomes among the three tertile and four TAC-C0-TWCV groups were compared. The T3 group had the highest rate of death-censored allograft loss (DCGL), and T3 was considered an independent risk factor for DCGL. The low/low group had the lowest and the high/high group had the highest risk for DCGL. Moreover, patients with a mean TAC-C0 of ≥5 ng/ml in the high/high group were at the highest risk for DCGL. Thus, TAC-IPV can significantly affect allograft outcomes even with a high mean TAC-C0. Furthermore, to improve allograft outcomes, a low TAC-IPV should be maintained even after the first year of KT.

MO922CASUAL FACTORS AND CLINICAL IMPACT OF URINARY TRACT INFECTIONS IN RENAL TRANSPLANTED PATIENTS: AN OBSERVATIONAL RETROSPECTIVE STUDY*

Abstract Background and Aims Urinary tract infections (UTIs) are the most common infectious disease in kidney transplanted patients (KTxps), especially during the first year of kidney transplantation (KTx). This study aims to examine the etiology of UTIs in a large cohort of KTxps, trying to identify their potential predisposing factors both during the first year and in the global follow-up (FU) of KTx. The impact of UTIs on KTx and patient’s survival in the long term will also be analyzed. Method In our study 585 KTxps (M 343; median age 49 years), out of the 616 KTxps transplanted in our Department between 2004 and 2016, were studied and followed up for a median time of 8 years. Clinical and biochemical data about the 1st (T1) and the 12th month (T12) of KTx were collected. Parameters related to UTIs, defined by a positive urine culture associated with urinary sediment suggestive of UTI, regardless of clinical symptoms, were considered in the global FU. A number of UTIs ≥3 was considered significant during the 1st year of KTx and in the overall FU. The reduction of the eGFR/year of FU, the loss of graft and the death of KTxps with a functioning graft were evaluated as outcome. Results The cohort had a slight prevalence of males (59%) and a median age of 49 years. At the time of KTx, JJ ureteral stent (JJ) was placed in 38% of KTxps, with a median stay time of 47 days. During the FU, 1700 UTIs were found in 458 KTxp, 550 UTIs during the first year of KTx. The pathogens most responsible for UTIs in the global FU were Escherichia coli (61%), Enterococcus (12%) and Klebsiella (8%). According to the number of UTIs found during the 1st year of KTx, KTxp were categorized in: UTI1≥3 (N=139) and UTI1&amp;lt;3 (N=446). UTI1≥3 were more frequently female and older than UTI1&amp;lt;3, had more prevalence of JJ and ATG induction therapy, and had lower hemoglobin and serum albumin at both T1 and T12. The presence of JJ, belonging to the female gender and induction therapy with ATG were the factors most correlated with IVU1≥3 (OR 1.9, 5.3 and 2.1). The studied cohort was also categorized according to the number of UTIs during the global FU in UTItot ≥3 (N=168) and UTItot&amp;lt;3 (N=417). UTI tot ≥3 were more frequently females, older, had a longer dialysis vintage and higher prevalence of JJ placement than UTI tot&amp;lt;3. Furthermore, they had significantly lower hemoglobin and serum albumin values, both at T1 and T12. The presence of JJ, the female gender and age at KTx were the factors most related to UTItot ≥3 (OR 1.8, 5.9 and 1.0). During the FU, the median absolute reduction in eGFR was found to be -0.6[-2.0; +0.9](mL/min)/years. Despite a greater reduction in glomerular filtrate rate in UTI tot≥3 group, the graft loss and the death with functioning graft had no correlation with either UTI1≥3 (7 and 5 patients, respectively) or UTItot≥3 (12 and 8 patients, respectively). Graft loss was observed in 51 KTxps. The number of infections/follow-up time of these KTxps was comparable to that found in those who had a still functioning transplant at the end of observation, and no statistical differences were found in survival analysis according to IVU tot≥3 category. During the global FU, 40 KTxp died with functioning graft. Also with regard to this outcome, no significant correlations were observed with the number of UTIs/follow-up time and in the survival analysis. Conclusion Our data confirm that UTIs are frequent in KTxps. Some factors, such as induction therapy and JJ use, certainly have a favoring effect in UTIs development. Despite the relation observed between UTIs and eGFR reduction, UTIs had no significant impact on graft loss. Beyond prevention through the improvement of lifestyles and various behavioral aspects, the implementation of personalized immunosuppressive protocols associated with a careful management of JJ are desirable interventions in order to prevent the development of UTIs in KTxps.

A machine learning framework for predicting long-term graft survival after kidney transplantation

Kidney transplantation (KT) is an optimal treatment for end-stage renal disease (ESRD). Currently, short-term KT outcomes are indeed excellent, but long-term successful outcomes are still difficult to achieve, and improving them is crucial for kidney recipients. An early and accurate prediction of long-term graft survival helps healthcare practitioners to create a more personalized treatment plans for patients and facilitates the performance of clinical trials. In this study, we propose a machine learning framework to early predict graft survival after five years of KT and determine the most influential parameters that affect the survival. Our dataset was collected from Charles Nicolle Hospital in Tunis in Tunisia and it included pre, peri, post KT aspects. We utilized four machine learning algorithms to select the most important features: the least absolute shrinkage and selection operator logistic regression (Lasso-LR), Random Forrest (RF), Decision Tree (DT), and Chi-square (Chi-sq). We utilized three Scikit-learn functions to implement those algorithms: SelectFromModel (SFM), Recursive Feature Elimination (RFE), and SelectKBest (SKB). Five algorithms were utilized to builds prediction models based on the data groups resulted from the feature selection step: logistic regression (LR), k-nearest neighbors (KNN), extreme gradient boosting (XGB), and artificial neural network (ANN). We evaluated the models using five performance measures: accuracy, sensitivity, specificity, F1 measure, and area under the curve (AUC). XGBoost resulted the best model with the highest AUC (89.7%). It was based ten features selected by RF algorithm and SFM function. The accuracy, sensitivity, specificity, and F1 of the best model were 91.5%, 91.9%, 87.5%, and 89.6%, respectively. This study proposes a novel approach for investigating long-term allograft survival while considering the complex relationship between all KT aspects and long-term outcomes. Our framework can be used as a decision support system for Nephrologists to early detect graft status, which helps in developing safer recommendations for kidney patients and consequently obtaining positive KT outcomes and mitigating the risks of graft failure.

POS-765 Relationship between presence of anti-HLA antibodies, kidney function and degree of pathological damage in patients with kidney transplant.

Kidney transplantation is the first line treatment for patients with end-stage kidney disease. The presence of Donor Specific Antibodies (DSA) in Human Leukocyte Antigen (HLA) is considered a risk factor for graft loss. Biopsy histological damage, renal function and complications within a year of kidney transplantation with and without HLA antibodies, was evaluated. Retrospective, longitudinal, analytical study. All kidney transplant recipients 18 years and older, transplanted 2015-2017, with DSA determination and graft biopsy in the first year of transplantation, were included. One hundred twenty four patients were included. Average age was 48 +/- 14 years. The distribution by sex was higher for males 62%, 52 were living donors and 72 deceased donors. GROUP A: 44% of all patients had antibodies, of which 56% had anti-HLA Class I antibodies and 44% anti-HLA Class II antibodies. GROUP B: Negative antibodies patients (56%). In both groups, the three most frequent pathological results were Interstitial Fibrosis and Tubular Atrophy Grade I (Group A: 62% -Group B: 46%), followed by Chronic Graft Glomerulopathy Grade I / Interstitial Fibrosis and Tubular Atrophy Grade I (Group A: 10% -Group B: 12%) and Mild mesangial expansion (Group A: 8% -Group B: 7%). There was no significant difference between both groups. Mean creatininemia in both groups was 1.4 mg / dl (p = 0.54). In group A, 62.3% of the patients had complications and in group B 56.3% (OR 1.28 CI 0.6-2.6 p 0.58). The most prevalent transplant complication was urinary tract infections (Group A 22% - Group B 18%) in both groups, no significant difference. In absence of rejection, HLA antibodies are not associated with histological damage, creatinine increase or transplant complications during the first year.

Immediate outcome and one-year graft survival rate after live related kidney transplantation: experience in a tertiary care hospital of Bangladesh

Background: Renal transplantation remains the treatment of choice for end-stage renal disease, as the procedure not only improves quality of life, but also markedly increases patients’ survival rates. Organ and patient survival rates are important issues of interest post-transplantation.The aims of this study were to analyze the data for immediate post-procedure outcome and one-year graft survival after live related kidney transplantation.&#x0D; Methods:A retrospective study was conducted in Bangladesh Institute of Research and Rehabilitation in Diabetes, Endocrine and Metabolic Disorders (BIRDEM) General Hospital, Dhaka, Bangladesh between November 2004 and September 2019. Data for a total of 132 live related kidney transplant recipients were collected in pre-formed questionnaire from the hospital records.&#x0D; Results:Total patients were 132 including 97 (73.5%) males. Mean age of recipients was 36.8±10.4 years. Mean post-transplantation hospital stay was 13.6±3.4 (range 9 to 30) days. During postoperative hospital stay, 6 (4.6%) patients required haemodialysis due to delayed graft function and high levels of serum creatinine. During discharge, 117 (88.6%) recipients had normal renal function (mean serum creatinine level 1.15±0.21 mg/dl) and 15 (11.4%) patients showed improvement in serum creatinine levels but did not reach normal value (mean serum creatinine levels 3.25±2.35 mg/ dl). All patients were regularly followed-up in post-transplant clinic (3 patients did not complete 1 year) after transplantation. After the first year of kidney transplantation, patient and graft survival rates were 90.7% (117/129) and 82.9% (107/129) respectively.&#x0D; Conclusions: Eighty-eightpercent live related kidney transplant recipients had normal renal function immediate post-surgery and one-year graft survival rate was over eighty percent in this study.&#x0D; Bangladesh J Medicine January 2021; 32(1) : 39-42

Changes in body composition in peritoneal dialysis patients after kidney transplantation.

Serial follow-up data of body composition from peritoneal dialysis (PD) initiation until 1year after kidney transplantation (KT) would be useful in identifying pathologic or physiologic changes, related to each modality or during the exchange of the modality. Body composition analysis was performed 1month after PD initiation, repeated annually, immediately before KT, 1month and 1year after KT (n = 43). Body composition analysis was performed using a bioimpedance analysis (BIA) machine. The body composition parameters measured using BIA included the water contents, fat mass index (FMI), appendicular muscle mass index (aMMI),and bone mineral content (BMC). The aMMI values 1month and 1year after PD initiation, immediately before KT, and 1month and 1year after KT were 7.6 ± 1.5, 7.8 ± 1.4, 8.0 ± 1.4, 6.8 ± 0.9, and 7.0 ± 1.0kg/m2, respectively. The aMMI increased during the first year of PD (P = 0.029) and was maintained during the remaining period of PD (P = 0.413). The value decreased during the first month after KT (P < 0.001) and recovered during the first year after KT (P = 0.010). FMI increased during the first year of PD (P < 0.001) and was maintained during the remaining period of PD (P = 0.214). The value increased during the first year of KT (P < 0.001). BMC was stable during the PD period but decreased after KT. Body waters were maintained during PD and decreased after KT. The presence of low muscle mass (LMM) 1month after PD initiation or 1month after KT, was associated with development of LMM 1year after KT. Our study showed that body composition was significantly changed during the first year after PD or the first month after KT, as evidenced by a decrease in aMMI and BMC and an increase in FMI. Adequate interventions provided at these two points might help maintain proper body composition.

Risk factors for anemia after one year of kidney transplantation

Risk factors for anemia after one year of kidney transplantation

The association of living donor source with patient and graft survival among kidney transplant recipients in the ERA-EDTA Registry - a retrospective study.

SummaryIn this study we aimed to compare patient and graft survival of kidney transplant recipients who received a kidney from a living‐related donor (LRD) or living‐unrelated donor (LUD). Adult patients in the ERA‐EDTA Registry who received their first kidney transplant in 1998–2017 were included. Ten‐year patient and graft survival were compared between LRD and LUD transplants using Cox regression analysis. In total, 14 370 patients received a kidney from a living donor. Of those, 9212 (64.1%) grafts were from a LRD, 5063 (35.2%) from a LUD and for 95 (0.7%), the donor type was unknown. Unadjusted five‐year risks of death and graft failure (including death as event) were lower for LRD transplants than for LUD grafts: 4.2% (95% confidence interval [CI]: 3.7–4.6) and 10.8% (95% CI: 10.1–11.5) versus 6.5% (95% CI: 5.7–7.4) and 12.2% (95% CI: 11.2–13.3), respectively. However, after adjusting for potential confounders, associations disappeared with hazard ratios of 0.99 (95% CI: 0.87–1.13) for patient survival and 1.03 (95% CI: 0.94–1.14) for graft survival. Unadjusted risk of death‐censored graft failure was similar, but after adjustment, it was higher for LUD transplants (1.19; 95% CI: 1.04–1.35). In conclusion, patient and graft survival of LRD and LUD kidney transplant recipients was similar, whereas death‐censored graft failure was higher in LUD. These findings confirm the importance of both living kidney donor types.