Survival Of Kidney Transplant Recipients Research Articles

Islet-after-kidney transplantation versus kidney alone in kidney transplant recipients with type 1 diabetes (KAIAK): a population-based target trial emulation in France

Islet transplantation has been associated with better metabolic control and quality of life than insulin treatment alone, but direct evidence of its effect on hard clinical endpoints is scarce. We aimed to assess the effect of islet transplantation on patient-graft survival in kidney transplant recipients with type 1 diabetes. In this retrospective cohort study, we enrolled all patients with type 1 diabetes who received a kidney graft in France during the study period, identified from the CRISTAL nationwide registry. Non-inclusion criteria included recipients from transplant centres that never proposed islet transplantation during the study period, recipients with a functional pancreas throughout the follow-up duration, recipients with more than two kidney transplants, HLA-sensitised recipients, recipients with less than 1 year of follow-up after kidney transplantation, misclassified recipients with type 2 diabetes, recipients aged over 65 years, recipients of kidney grafts from Donation after Circulatory Death donors, recipient with HIV or hepatitis, recipients with cancer, and recipients of combined liver-kidney transplants. Patients who also received islet-after-kidney (IAK) transplantation were compared with controls who received kidney transplantation alone according to a 1:2 matching method based on time-dependent propensity scores, ensuring patients comparability at the time of islet transplantation. The primary outcome was patient-graft survival, a composite outcome defined by death, re-transplantation, or return to dialysis. Between Jan 1, 2000, and Dec 31, 2017, 2391 patients with type 1 diabetes were identified as having received a kidney transplant, 47 patients of whom also received an islet transplantation. 2002 patients were not eligible for islet transplantation and 62 were excluded due to missing data. 327 eligible recipients from 15 centres were included in the study dataset for the target trial emulation. 40 patients who received IAK transplantation were successfully matched to 80 patients who received kidney transplantation alone. 13 (33%) of 40 patients in the IAK transplantation group returned to dialysis or died, compared with 36 (45%) of 80 patients in the kidney transplantation alone group. We found a significant benefit of islet transplantation compared with kidney transplantation alone on patient-graft survival, with a hazard ratio (HR) of 0·44 (95% CI 0·23-0·88; p=0·022), mainly explained by a protective effect on the risk of death (HR 0·41, 0·13-0·91; p=0·042). There was no meaningful association between IAK and death-censored graft survival (0·73, 0·30-1·89; p=0·36). In kidney transplant recipients with type 1 diabetes, IAK transplantation was associated with a significantly better patient-graft survival compared with kidney transplantation alone, mainly due to a protective effect on the risk of death. These results potentially serve as compelling grounds for advocating wider access to islet transplantation in patients with type 1 diabetes undergoing kidney transplant, as reimbursement of islet transplantation is provided in few countries worldwide. Programme Hospitalier de la Recherche Clinique, Fondation pour la Recherche Medicale, and Fonds de Dotation Line Renaud-Loulou Gasté.

V-110.3: Understanding sex differences in relative cancer survival in kidney transplant recipients: A bi-national study, 1980-2019

V-110.3: Understanding sex differences in relative cancer survival in kidney transplant recipients: A bi-national study, 1980-2019

Predicting graft survival in paediatric kidney transplant recipients using machine learning.

Identification of factors that affect graft survival in kidney transplantation can increase graft survival and reduce mortality. Artificial intelligence modelling enables impartial evaluation of clinician bias. This study aimed to examine factors that affect the survival of grafts in paediatric kidney transplantation through the use of machine learning. A retrospective review was conducted on records of paediatric patients who underwent kidney transplantation between 1994 and 2021 and had post-transplant follow-up > 12months. The nearest neighbour method was used to impute missing fields from a total of 48 variables in the dataset. Models including Naive Bayes, logistic regression, support vector machine (SVM), multi-layer perceptron, and XGBoost were trained to predict graft survival. The study used 80% of the patients for training and the remaining 20% for testing. Modelling success was evaluated based on accuracy and F1 score metrics. The study analysed 465 kidney transplant recipients. Of these, 56.7% were male. The mean age at transplantation was 12.08 ± 5.01years. Of the kidney transplants, 73.1% (n = 339) were from living donors, 34.5% (n = 160) were pre-emptive transplants, and 2.2% (n = 10) were second-time transplants. The machine learning model identified several features associated with graft survival, including antibody-mediated rejection (+ 0.7), acute cellular rejection (+ 0.66), eGFR at 3years (+ 0.43), eGFR at 5years (+ 0.34), pre-transplant peritoneal dialysis (+ 0.2), and cadaveric donor (+ 0.2). The successes of the logistic regression and SVM models were similar. The F1 score was 91.9%, and accuracy was 96.5%. Machine learning can be used to identify factors that affect graft survival in kidney transplant recipients. By expanding similar studies, risk maps can be created prior to transplantation.

Impact of Blood Pressure on Allograft Function and Survival in Kidney Transplant Recipients.

The optimal target blood pressure for kidney transplant (KT) patients remains unclear. We included 808KT patients from the KNOW-KT as a discovery set, and 1,294KT patients from the KOTRY as a validation set. The main exposures were baseline systolic blood pressure (SBP) at 1year after KT and time-varying SBP. Patients were classified into five groups: SBP <110; 110-119; 120-129; 130-139; and ≥140mmHg. SBP trajectories were classified into decreasing, stable, and increasing groups. Primary outcome was composite kidney outcome of ≥50% decrease in eGFR or death-censored graft loss. Compared with the 110-119mmHg group, both the lowest (adjusted hazard ratio [aHR], 2.43) and the highest SBP (aHR, 2.25) were associated with a higher risk of composite kidney outcome. In time-varying model, also the lowest (aHR, 3.02) and the highest SBP (aHR, 3.60) were associated with a higher risk. In the trajectory model, an increasing SBP trajectory was associated with a higher risk than a stable SBP trajectory (aHR, 2.26). This associations were consistent in the validation set. In conclusion, SBP ≥140mmHg and an increasing SBP trajectory were associated with a higher risk of allograft dysfunction and failure in KT patients.

Ensemble of machine learning techniques to predict survival in kidney transplant recipients

Kidney transplant recipients face a high cardiovascular risk, which is a leading cause of death in this patient group. This article proposes the application of clustering techniques and feature selection to predict the survival outcomes of kidney transplant recipients based on machine learning techniques and mainstream statistical methods. First, feature selection techniques (Boruta, Random Survival Forest and Elastic Net) are used to detect the most relevant variables. Subsequently, each set of variables obtained by each feature selection technique is used as input for the clustering algorithms used (Consensus Clustering, Self-Organizing Map and Agglomerative Clustering) to determine which combination of feature selection, clustering algorithm and number of clusters maximizes intercluster variability. Next, the mechanism called False Clustering Discovery Reduction is applied to obtain the minimum number of statistically differentiable populations after applying a control metric. This metric is based on a variance test to confirm that reducing the number of clusters does not generate significant losses in the heterogeneity obtained. This approach was applied to the Organ Procurement and Transplantation Network medical dataset (n = 11,332). The combination of Random Survival Forest and consensus clustering yielded the optimal result of 4 clusters starting from 8 initial ones. Finally, for each population, Kaplan-Meier survival curves are generated to predict the survival of new patients based on the predictions of the XGBoost classifier, with an overall multi-class AUC of 98.11%.

Prevalence of proteinuria after living donor kidney transplantation and related risk factors: A retrospective cohort study from Syria

Introductionproteinuria is associated with poor allograft and patient survival in kidney transplant recipients (KTRs). This study aims to investigate the prevalence and risk factors of proteinuria in KTRs and its impact on kidney function during the first two years after kidney transplantation (KT). Materials and methods200 KTRs were included in this retrospective cohort study from living donors, performed in two University hospitals in Syria, from January 2018 to March 2021. Demographic and immunological characteristics were analyzed depending on the 24 h urine protein (Up) excretion that was classified into three groups: Up I (150–500 mg/day), Up II between (0.5–1 g/day), and Up III (>1 g/day). ResultsUp was increased subsequently as the transplant progressed, where the greatest excretion of the Up was reported 2 years after KT. At 6 months after KT; the cold ischemic time (CIT), serum creatinine (Cr), using angiotensin-converting enzyme inhibitors (ACEIs)/ angiotensin II receptor blockers (ARBs), and GFR showed strong significant differences between Up groups (P = 0.00003, 0.0001, 0.00001, and 0.026; respectively). The CIT and Cr were higher in the Up III group compared to Up I and UP II groups. At 12 months after KT; Cr, using ACEIs/ARBs, and GFR showed strong significant differences between Up groups (P = 0.00009, <0.0001, and <0.0001; respectively). The mean Cr was higher in Up II and Up III groups (1.7 mg/dL; for each) compared to the Up I group (1.0 mg/dL). At 24 months after KT; CIT, using ACEIs/ARBs, Cr, and GFR showed strong significant differences between Up groups (P = 0.02, <0.0001, 0.00008, and <0.0001; respectively). ConclusionThis is the first study from Syria that conducted in KT patients. The prevalence and amount of proteinuria showed subsequently increased as the transplant progressed. Serum Cr, GFR, CIT, and using ACEIs/ARBs showed differences between Up groups at 6 months, 1 year, and 2 years after KT. Our data suggest that the use of ACEIs/ARBs is not a contraindication in early posttransplant period. Due to several known cardiovascular and renal benefits of ACEIs/ARBs future studied in KT population should investigated to determine if these drugs could give beneficial effects on grafts and patients survival.

Myosteatosis and not low muscle mass is associated with lower survival in kidney transplant recipients

AbstractBackgroundMyosteatosis, that is muscle fat infiltration, is an important marker of muscle quality, affecting quality of life and survival in patients with chronic kidney disease (CKD). However, the connection between myosteatosis, skeletal muscle index (SMI) and survival in kidney transplant (KTx) recipients remains unclear.MethodsThis retrospective observational study included a cohort of consecutive adult kidney recipients transplanted between 2010 and 2017 in Stockholm. Preoperative abdominal computed tomography (CT) images obtained after diagnosis of CKD 5 and within 36 months of transplantation were collected. Using established criteria, we measured muscle area at the third lumbar vertebra (L3 level) and identified low attenuation muscle, indicating myosteatosis. Each area was divided by height squared providing the SMI, and fatty muscle index (FMI). Given that there is no commonly accepted definition of sarcopenia, two cut‐offs for SMI were used to define low muscle mass, Cut‐off 1 (≤32.8 for women and ≤44.7 for men) and Cut‐off 2 (≤38.5 for women and ≤52.4 for men). Average radiodensity of skeletal muscle and Charlson comorbidity index were calculated for each patient. The influence on survival from SMI, FMI, SMI/FMI ratio, and radiodensity was analysed.ResultsOut of 582 KTx recipients, 266 (46%) had a pre‐transplant abdominal CT available. Applying SMI Cut‐off 1, 30 recipients (11%) had sarcopenia compared with 106 (40%) with Cut‐off 2. Neither SMI nor FMI was associated with survival. Yet there was an association between SMI/FMI ratio and survival, patients with the lowest quintile SMI/FMI ratio having a significantly lower survival when compared with the highest quintile, both in the crude model and when adjusted for age, gender, and comorbidity. Additionally, FMI, radiodensity, and SMI/FMI, but not SMI, were significantly associated with Charlson comorbidity index (P &lt; 0.01).ConclusionsThe SMI/FMI ratio may be associated with both pre‐transplant comorbidity and post‐transplant survival even though the significance of SMI is unclear. This suggests that SMI/FMI ratio is a better indicator of muscular impairment than skeletal muscle quantity alone. The finding may reflect the complex interplay between muscle mass, muscular fat infiltration and metabolic health, all important determinants of wellness and longevity. In summary, our study underscores the potential of the SMI/FMI ratio as a predictor of outcome after KTx, a finding possibly transferable to other patient populations.

Vitamin C deficiency after kidney transplantation: a cohort and cross-sectional study of the TransplantLines biobank

PurposeVitamin C deficiency is associated with excess mortality in kidney transplant recipients (KTR). We aim to evaluate plasma vitamin C status at different post-transplantation moments and assess the main characteristics associated with vitamin C deficiency in KTR.MethodsPlasma vitamin C was assessed in 598 KTR at 3-, 6-, 12-, 24-, and 60-months post-transplantation, 374 late KTR with a functioning graft ≥ 1 year, and 395 potential donors. Vitamin C deficiency was defined as plasma vitamin C ≤ 28 µmol/L. Diet was assessed by a 177-item food frequency questionnaire. Data on vitamin C-containing supplements use were extracted from patient records and verified with the patients.ResultsVitamin C deficiency ranged from 46% (6-months post-transplantation) to 30% (≥ 1 year post-transplantation). At all time points, KTR had lower plasma vitamin C than potential donors (30–41 µmol/L vs 58 µmol/L). In cross-sectional analyses of the 953 KTR at their first visit ≥ 12 months after transplantation (55 ± 14 years, 62% male, eGFR 55 ± 19 mL/min/1.73 m2), the characteristics with the strongest association with vitamin C deficiency were diabetes and smoking (OR 2.67 [95% CI 1.84–3.87] and OR 1.84 [95% CI 1.16–2.91], respectively). Dietary vitamin C intake and vitamin C supplementation were associated with lower odds (OR per 100 mg/day 0.38, 95% CI 0.24–0.61 and OR 0.21, 95% CI 0.09–0.44, respectively).ConclusionVitamin C deficiency is frequent among KTR regardless of the time after transplantation, especially among those with diabetes and active smokers. The prevalence of vitamin C deficiency was lower among KTR with higher vitamin C intake, both dietary and supplemented. Further research is warranted to assess whether correcting this modifiable risk factor could improve survival in KTR.

Pre-Transplant Frequencies of FoxP3+CD25+ in CD3+CD8+ T Cells as Potential Predictors for CMV in CMV-Intermediate Risk Kidney Transplant Recipients.

Cytomegalovirus (CMV) infection detrimentally influences graft survival in kidney transplant recipients, with the risk primarily determined by recipient and donor serostatus. However, recipient CD8+ T cells play a crucial role in CMV control. The optimal preventive strategy (prophylaxis vs. pre-emptive treatment), particularly for seropositive (intermediate risk) recipients, remains uncertain. We investigated CD8+ T cell subpopulation dynamics and CMV occurrence (DNAemia ≥ 100IU/mL) in 65 kidney transplant recipients, collecting peripheral blood mononuclear cells before (T1) and 1year after transplantation (T2). Comparing the two timepoints, we found an increase in granulocyte, monocyte and CD3+CD8+ T cells numbers, while FoxP3+CD25+, LAG-3+ and PD-1+ frequencies were reduced at T2. CMV DNAemia occurred in 33 recipients (55.8%) during the first year. Intermediate risk patients were disproportionally affected by posttransplant CMV (N = 29/45, 64.4%). Intermediate risk recipients developing CMV after transplantation exhibited lower leukocyte, monocyte, and granulocyte counts and higher FoxP3+CD25+ frequencies in CD3+CD8+ T cells pre-transplantation compared to patients staying CMV negative. Pre-transplant FoxP3+CD25+ in CD3+CD8+ T cells had the best discriminatory potential for CMV infection prediction within the first year after transplantation (AUC: 0.746). The FoxP3+CD25+ CD3+CD8+ T cell subset may aid in selecting intermediate risk kidney transplant recipients for CMV prophylaxis.

#2992 Risk and prognostic factors for post-transplantation lymphoproliferative disease in solid organ transplant recipients—a multicenter analysis

Abstract Background and Aims Post-transplantation lymphoproliferative disorder (PTLD), a potentially fatal complication of transplantation, affects solid organ transplant recipients at different rates, depending on organ graft type: the risk greater in lung transplant recipients (LngTRs), lower for liver transplant recipients (LTRs) and lowest for kidney transplant recipients (KTR). In this study we aimed to investigate the factors affecting the development and treatment outcomes of PTLD and compare their effect on KTRs, LTRs and LngTRs. Method In this retrospective cohort study we have included all KTRs, LTRs and LngTRs diagnosed with PTLD at six transplantation centers in Poland. The data collected from medical records included: immunosuppression (IS), viral infections, PTLD type, treatment and outcomes. Chi-squared test was used to assess the differences in group composition. To determine the impact of variables upon PTLD time of onset and patient survival, univariate Cox regression was used. p-values below 0.05 were considered statistically significant. Results We enrolled 50 KTRs, 36 LTRs and 5 LngTRs from 6 transplantation centers in Poland. Based on the data from the most contributing centers in each group, the prevalence of PTLD was 0.82% of KTRs, 2.03% LTRs and 1.51% of LngTRs. Two thirds of the enrolled patients were male, the median age at first transplantation was 40 years for KTRs, 45 for LTRs and 25 for LngTRs (Table 1). The groups significantly differed in IS treatment: steroid (GCS) and cyclosporin (CsA) use was more frequent in KTRs (p&amp;lt;0.001 and p&amp;lt;0.001 and respectively), tacrolimus (TAC) and anti-CD25 induction in LTRs (p ≤ 0.001 and p&amp;lt;0.001 respectively), sirolimus (RAPA) in LngTRs (p&amp;lt;0.001). KTRs were the latest to develop PTLD (126 months after transplantation, p&amp;lt;0.001). In all groups Monomorphic B-cell PTLD was the most frequent. Initial IS treatment reduction was used in 80-86% of patients, R-CHOP chemotherapy was most common in LTRs (p=0.021), other chemotherapy regimens in KTRs (p=0.031). TAC had the opposite effect on PTLD time of onset in KTRs (HR=2.18, p=0.013) and LTRs (HR=0.18, p=0.036). The overall survival at the end of observation period was 26% for KTRs, 58% for LTRs and 80% for LngTRs. Loss to follow up was most frequent in KTRs at 26%. Patient survival was not affected by PTLD treatment. Conclusion KTRs develop PTLD later than LTRs and LngTRs, and time of disease onset is associated with TAC use. Lower survival in KTRs may result from the longer follow-up period compared to other solid organ transplant recipients.

Efficacy of Integrated Risk Score Using Omics-Based Biomarkers for the Prediction of Acute Rejection in Kidney Transplantation: A Randomized Prospective Pilot Study.

Acute rejection (AR) is critical for long-term graft survival in kidney transplant recipients (KTRs). This study aimed to evaluate the efficacy of the integrated risk score of omics-based biomarkers in predicting AR in KTRs. This prospective, randomized, controlled, multicenter, pilot study enrolled 40 patients who recently underwent high-immunologic-risk kidney transplantation (KT). Five omics biomarkers were measured, namely, blood mRNA (three-gene signature), urinary exosomal miRNA (three-gene signature), urinary mRNA (six-gene signature), and two urinary exosomal proteins (hemopexin and tetraspanin-1) at 2 weeks and every 4 weeks after KT for 1 year. An integrated risk score was generated by summing each biomarker up. The biomarker group was informed about the integrated risk scores and used to adjust immunosuppression, but not the control group. The outcomes were graft function and frequency of graft biopsy. Sixteen patients in the biomarker group and nineteen in the control group completed the study. The mean estimated glomerular filtration rate after KT did not differ between the groups. Graft biopsy was performed in two patients (12.5%) and nine (47.4%) in the biomarker and control groups, respectively, with the proportion being significantly lower in the biomarker group (p = 0.027). One patient (6.3%) in the biomarker group and two (10.5%) in the control group were diagnosed with AR, and the AR incidence did not differ between the groups. The tacrolimus trough level was significantly lower in the biomarker group than in the control group at 1 year after KT (p = 0.006). Integrated omics biomarker monitoring may help prevent unnecessary or high-complication-risk biopsy and enables tailored immunosuppression by predicting the risk of AR in KTRs.

Effect of metformin use on graft and patient survival in kidney transplant recipients with type 2 diabetes: a systematic review protocol

IntroductionMetformin is a first-line antihyperglycaemic agent for type 2 diabetes (T2DM). In addition to glycaemic control, it offers benefits related to cardiovascular health, weight neutrality and metabolic syndrome. However, its...

The Impact of ABCC2 -24C>T Gene Polymorphism on Graft Survival in Kidney Transplant Recipients.

Personalized medicine in kidney transplantation has the potential to improve outcomes and reduce complications. The aim of this study was to investigate the influence of single nucleotide polymorphisms in genes encoding metabolizing enzymes (CYP3A5) and transporters (ABCC2) on clinical outcomes (acute graft failure and/or acute tubular necrosis (ATN)) in kidney transplant recipients (KTR). This was a multicenter, retrospective cohort study where adult KTR who had undergone kidney transplantation between 2020 and 2021 and received tacrolimus-mycophenolate treatment were enrolled in the study. DNA was extracted from collected blood samples using a commercially available kit. CYP3A5*3, ABCC2 -24C>T and ABCC2 3972C>T SNP were determined by polymerase chain reaction. Of the total 39 patients included, nine (23.1%) KTR had an incidence of acute graft failure and/or ATN. A multiple logistic regression showed wildtype ABCC2 -24C>T C allele had a higher risk of developing acute graft rejection and/or ATN compared to the variant allele carriers (adjusted Odd Ratios [aOR]: 27.675, p = 0.038). Recipients who had delayed graft function (aOR: 49.214, p = 0.012) and a history of CMV infection (aOR: 18.097, p = 0.009) were at 49.2 and 18.1-times increased risk for acute graft failure and/or ATN, respectively. The large aOR was inevitable due to the small sample size and required cautious interpretation. This is the first study to determine the effect of the ABCC2 -24C>T genetic polymorphism on clinical outcomes in Malaysian KTR and forms the basis for further work on ABCC2 -24C>T effects in long-term KTR.

Clinical Characteristics and Survival of Kidney Transplant Recipients with Posttransplant Malignancy

Clinical Characteristics and Survival of Kidney Transplant Recipients with Posttransplant Malignancy

Outcomes of Kidney Transplantation Among COVID-19 Recovered Patients in a Single Transplant Center

The COVID-19 pandemic significantly lowered kidney transplantation (KT) rates worldwide, and studies regarding outcomes of patients who developed COVID-19 infection before KT are limited, especially in low to middle-income countries. To determine the 1-year graft and patient survival of kidney transplant recipients who recovered from COVID-19 infection before KT. We retrospectively reviewed all adult end-stage renal disease patients who underwent KT at the National Kidney and Transplant Institute from June 2020 through October 2021. Transplant parameters, graft and patient survival, pretransplant COVID-19 infection, and post-KT infectious complications were recorded. Data was analyzed using two-tailed descriptive statistical tests. Of the 219 recipients, 23 (11%) had COVID-19 infection within 1 to 16 months before KT. The mean age of KT recipients was 36 years (range, 25-57), and 61.9% had chronic glomerulonephritis as primary renal disease. The mean duration from COVID-19 recovery to KT was 79 days (range, 21-207). There was no significant difference in the 1-year biopsy-proven acute rejection in the 2 groups, at 4.5% vs 12.5% for the COVID-19 and non-COVID-19 group, respectively. Both the 1-year graft and patient survival were similar in the COVID-19 and non-COVID-19 groups at 98.4% vs 100% and 100% vs 98.44%, respectively. There was no significant difference in biopsy-proven acute rejection, 1-year graft, and patient survival among patients who had a prior COVID-19 infection vs those who did not. Kidney transplantation appears safe when performed at least 1 month from COVID-19 infection.

Age and Epstein-Barr viral load at diagnosis of post-transplant lymphoproliferative disease are associated with patient survival in kidney transplant recipients.

This study investigated variables associated with mortality in kidney transplant recipients (KTRs) diagnosed with post-transplant lymphoproliferative disease (PTLD) and a simultaneous Epstein-Barr virus (EBV) viremia. This was a retrospective cohort study enrolling KTRs diagnosed with PTLD between 2018 and 2020. Outcome: death within two years after diagnosis. Among 1,625 KTRs who collected EBV viremia (by PCR, 2018-2020) for any reason, 238 (14.6%) had a positive viral load and 41 (17.2%) simultaneous PTLD. These 41 patients were 40.1 years old at diagnosis and 8.6 years after transplantation; 26.8% were induced with rATG and 92.7% were maintained on tacrolimus and azathioprine (TAC/AZA) as immunosuppressive regimen. Lymph nodes (75.6%) was the most common site of PTLD, followed by the gastrointestinal tract (48.8%), with 61.0% at Lugano stage IV and 80.5% monomorphic PTLD. The mean EBV viral load was 12,198 IU/mL. One- and two-year patient survival post-diagnosis was 60.4% and 46.8%, respectively. In the Cox regression analysis, age at PTLD diagnosis (HR for each year = 1.039; p < 0.001) and EBV viral load (HR for each log = 1.695; p = 0.026) were associated with risk of death. This study suggests that in patients predominantly on TAC/AZA, PTLD with simultaneous EBV positive viral load is a late event, and worse survival is associated with older age and EBV viral load at diagnosis.

Association of Metformin with Rejection and Graft Survival in Kidney Transplant Recipients Taking Tacrolimus with Post-Transplantation Diabetes Mellitus

Association of Metformin with Rejection and Graft Survival in Kidney Transplant Recipients Taking Tacrolimus with Post-Transplantation Diabetes Mellitus

The Impact of Subclinical T Cell-Mediated Rejection on Subsequent Rejections and Allograft Survival in Kidney Transplant Recipients: A Systematic Review and Meta-Analysis

The Impact of Subclinical T Cell-Mediated Rejection on Subsequent Rejections and Allograft Survival in Kidney Transplant Recipients: A Systematic Review and Meta-Analysis

Direct and indirect impact of the COVID-19 pandemic on the survival of kidney transplant recipients: A national observational study in France

During the pandemic period, health care systems were substantially reorganized for managing COVID-19 cases. Corresponding consequences on persons with chronic diseases remain insufficiently documented. This observational cohort study investigated the direct and indirect impact of the pandemic period on the survival of kidney transplant recipients (KTR). Using the French National Health Data System, incident persons with end-stage kidney disease between 2015 and 2020, and who received a kidney transplant during this period were included and followed up from their transplantation date to December 31, 2021. The survival of KTR during the prepandemic and pandemic periods was investigated using Cox models with time-dependent covariates. There were 10 637 KTR included in the study, with 324 and 430 deaths observed during the prepandemic and pandemic periods, respectively. The adjusted risk of death during the pandemic period was similar to that observed during the prepandemic period (hazard ratio [HR] [95% confidence interval]: 0.92 [0.77-1.11]), COVID-19–related hospitalization was associated with an increased risk of death (HR: 10.62 [8.46-13.33]), and a third vaccine dose was associated with a lower risk of death (HR: 0.42 [0.30-0.57]). The pandemic period was not associated with an indirect higher risk of death in KTR with no COVID-19–related hospitalization.

Surgical complications and graft survival in kidney transplant recipients according to CT-scans evaluation

IntroductionObesity is a risk factor for significant surgical complications following kidney transplantation. We examined morphometric parameters other than the body mass index (BMI) that could predict surgical complications and determine their impact on graft survival. MaterialsKidney transplantations performed at our center between 2012 and 2019 were retrospectively evaluated. Data for visceral adipose tissue (VAT), subcutaneous adipose tissue, psoas surface, abdominal perimeter (AP), and vessel-to-skin distance (VSK) were collected from pre-transplant computed tomography (CT) scans. The primary outcome was the occurrence of surgical complications within 1 year of transplantation; the secondary outcome was graft survival. ResultsWe included 321 (88%) of 364 kidney transplant recipients, of which 154 (46.5%) patients experienced some form of surgical complication in the 1st year of follow-up. Univariate analysis revealed that higher VAT (P=0.004), VSK (P=0.007), and AP (P=0.01) values were potential risk factors for early postoperative morbidity. However, none of these factors were significant in the multivariate analysis. Concerning the secondary outcome, while the univariate analysis identified higher VAT (P=0.001) value as a risk factor, in the multivariate analysis only delayed graft function demonstrated a significant impact on graft survival (P=0.002). ConclusionsAlthough morphological parameters showed greater accuracy in predicting surgical complications in univariate analysis, these results were not significant in multivariate analysis. Moreover, these factors were not significantly associated with graft survival. Therefore, routine application of analyses based on these parameters, regardless of BMI, may not be useful. Level of evidence5