scholarly journals Incidence and predictors of post-transplant lymphoproliferative disease after kidney transplantation during adulthood and childhood: a registry study

2018 ◽  
Vol 33 (5) ◽  
pp. 881-889 ◽  
Author(s):  
Anna Francis ◽  
David W Johnson ◽  
Armando Teixeira-Pinto ◽  
Jonathan C Craig ◽  
Germaine Wong
2010 ◽  
Vol 21 (3) ◽  
pp. 208-215 ◽  
Author(s):  
Tim Zimmermann ◽  
Maria Hoppe-Lotichius ◽  
Vuk Tripkovic ◽  
Ana P. Barreiros ◽  
Thomas C. Wehler ◽  
...  

Pharmaceutics ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 413
Author(s):  
Theerawut Klangjareonchai ◽  
Natsuki Eguchi ◽  
Ekamol Tantisattamo ◽  
Antoney J. Ferrey ◽  
Uttam Reddy ◽  
...  

Hyperglycemia after kidney transplantation is common in both diabetic and non-diabetic patients. Both pretransplant and post-transplant diabetes mellitus are associated with increased kidney allograft failure and mortality. Glucose management may be challenging for kidney transplant recipients. The pathophysiology and pattern of hyperglycemia in patients following kidney transplantation is different from those with type 2 diabetes mellitus. In patients with pre-existing and post-transplant diabetes mellitus, there is limited data on the management of hyperglycemia after kidney transplantation. The following article discusses the nomenclature and diagnosis of pre- and post-transplant diabetes mellitus, the impact of transplant-related hyperglycemia on patient and kidney allograft outcomes, risk factors and potential pathogenic mechanisms of hyperglycemia after kidney transplantation, glucose management before and after transplantation, and modalities for prevention of post-transplant diabetes mellitus.


2021 ◽  
Vol 69 (4) ◽  
pp. 103304
Author(s):  
Rafael Hernani ◽  
Asunción Sancho ◽  
Paula Amat ◽  
Juan Carlos Hernández-Boluda ◽  
Ariadna Pérez ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
H. Tejeda-Mora ◽  
J. G. H. P. Verhoeven ◽  
W. Verschoor ◽  
K. Boer ◽  
D. A. Hesselink ◽  
...  

AbstractThe diagnosis of kidney allograft rejection is based on late histological and clinical markers. Early, specific and minimally-invasive biomarkers may improve rejection diagnosis. Endothelial cells (EC) are one of the earliest targets in kidney transplant rejection. We investigated whether circulating EC (cEC) could serve as an earlier and less invasive biomarker for allograft rejection. Blood was collected from a cohort of 51 kidney transplant recipients before and at multiple timepoints after transplantation, including during a for cause biopsy. The number and phenotype of EC was assessed by flow-cytometric analysis. Unbiased selection of EC was done using principal component (PCA) analysis. Paired analysis revealed a transient cEC increase of 2.1-fold on the third day post-transplant, recovering to preoperative levels at seventh day post-transplant and onwards. Analysis of HLA subtype demonstrated that cEC mainly originate from the recipient. cEC levels were not associated with allograft rejection, allograft function or other allograft pathologies. However, cEC in patients with allograft rejection and increased levels of cEC showed elevated levels of KIM-1 (kidney injury marker-1). These findings indicate that cEC numbers and phenotype are affected after kidney transplantation but may not improve rejection diagnosis.


The Lancet ◽  
1999 ◽  
Vol 354 (9191) ◽  
pp. 1698-1699 ◽  
Author(s):  
Richard C Cook ◽  
Joseph M Connors ◽  
Randy D Gascoyne ◽  
Guy Fradet ◽  
Robert D Levy

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Hanne Skou Jørgensen ◽  
Geert Behets ◽  
Patrick D'Haese ◽  
Pieter Evenepoel

Abstract Background and Aims Bone disease after kidney transplantation is an issue of growing concern, as prolonged graft survival and older age of recipients necessitate focus on long-term health burdens such as osteoporosis and fractures. Pre-existing type of renal osteodystrophy, post-transplant immunosuppressive treatment, and de novo disturbances of mineral metabolism all contribute to bone disease in kidney transplant recipients. The current pattern of renal osteodystrophy after kidney transplantation is not well characterized. This study reports histomorphometric findings of protocolled bone biopsies in a large cohort of kidney transplant recipients 1 year post-transplant. Method Histomorphometric analysis of transiliac bone biopsies with prior tetracycline labelling was performed in 141 kidney transplant recipients. Biochemical measurements included bioactive parathyroid hormone (PTH), total calcium, phosphate, calcidiol, bicarbonate, and sclerostin. Kruskal-Wallis and Wilcoxon signed rank tests were used to evaluate differences across categories and between groups, respectively. Stepwise multivariate linear regression was performed to identify key demographic and biochemical determinants of bone turnover (bone formation rate, BFR), mineralization (mineralization lag time, Mlt), and volume (Bone area, BAr). Results Mean age was 57±11 years, 71% were men, and all were Caucasian. Mean eGFR was 49±16 (range 19 to 106) ml/min/1.73 m². Hyperparathyroidism (PTH > 1.5xUNL) was seen in 48%, hypercalcemia (>10.3 mg/dL) in 18%, hypophosphatemia (<2.3 mg/dl) in 12%, and vitamin D deficiency (<15 ng/mL) in 4% of patients. Categorization of bone turnover, mineralization, and volume is shown in Figure 1. Bone turnover was normal in the vast majority (71%). Patients with low turnover (26%) had received a higher cumulative steroid dose (2.78 vs 2.34g in low vs non-low turnover; p=0.02). Patients with delayed mineralization (16%) were younger (52 vs 58 yrs, p=0.02) and had received a higher cumulative steroid dose (2.85 vs 2.36g, p=0.003). They had higher levels of PTH (124 vs 53 ng/L, p<0.001), and lower levels of phosphate (2.68 vs 3.18 mg/dL, p<0.001), calcidiol (29 vs 37ug/L, p=0.02), bicarbonate (21.3 vs 23.3 mmol/L, p=0.004), and sclerostin (493 vs 594 pg/mL, p=0.03) compared to patients with normal mineralization. Patients with low bone volume tended to be older (61 vs 56 years, p=0.07). Independent determinants of BFR were PTH (β=0.68, p<0.001) and cumulative steroid dose (β = -0.22, p=0.02). Determinants of Mlt were phosphate (β=-0.48, p=0.001) and cumulative steroid dose (β=0.18, p=0.004), and determinants of BAr were age (β=-0.15, p=0.002), and BMI (β=0.33, p=0.002). Conclusion Bone turnover is normal in the majority of kidney transplant recipients at 1 year post-transplant, despite a high prevalence of hyperparathyroidism. Low levels of bicarbonate, phosphate, and calcidiol may contribute to delayed bone mineralization in kidney transplant recipients.


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