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Prevalence and risk factors for tertiary hyperparathyroidism in kidney transplant recipients.
Sutton, W, Chen, X, Patel, P, Karzai, S, Prescott, JD, Segev, DL, McAdams-DeMarco, M, Mathur, A
Surgery. 2022;(1):69-76
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Abstract
BACKGROUND Tertiary hyperparathyroidism after kidney transplantation has been associated with graft dysfunction, cardiovascular morbidity, and osteopenia; however, its true prevalence is unclear. The objective of our study was to evaluate the prevalence of and risk factors for tertiary hyperparathyroidism. METHODS A prospective cohort of 849 adult kidney transplantation recipients (December 2008-February 2020) was used to estimate the prevalence of hyperparathyroidism 1-year post-kidney transplant. Tertiary hyperparathyroidism was defined as hypercalcemia (≥10mg/dL) and hyperparathyroidism (parathyroid hormone≥70pg/mL) 1-year post-kidney transplantation. Modified Poisson regression models were used to evaluate risk factors associated with the development of both persistent hyperparathyroidism and tertiary hyperparathyroidism. RESULTS Among kidney transplantation recipients, 524 (61.7%) had persistent hyperparathyroidism and 182 (21.5%) had tertiary hyperparathyroidism at 1-year post-kidney transplantation. Calcimimetic use before kidney transplantation was associated with 1.30-fold higher risk of persistent hyperparathyroidism (adjusted prevalence ratio = 1.30, 95% CI: 1.12-1.51) and 1.84-fold higher risk of tertiary hyperparathyroidism (adjusted prevalence ratio = 1.84, 95% CI: 1.25-2.72). Pre-kidney transplantation parathyroid hormone ≥300 pg/mL was associated with 1.49-fold higher risk of persistent hyperparathyroidism (adjusted prevalence ratio = 1.49, 95% CI = 1.19-1.85) and 2.21-fold higher risk of tertiary hyperparathyroidism (adjusted prevalence ratio = 2.21, 95% CI = 1.25-3.90). Pre-kidney transplantation tertiary hyperparathyroidism was associated with an increased risk of post-kidney transplantation tertiary hyperparathyroidism (adjusted prevalence ratio = 1.71, 95% CI = 1.29-2.27), but not persistent hyperparathyroidism. Furthermore, 73.0% of patients with persistent hyperparathyroidism and 61.5% with tertiary hyperparathyroidism did not receive any treatment at 1-year post-kidney transplantation. CONCLUSION Persistent hyperparathyroidism affected 61.7% and tertiary hyperparathyroidism affected 21.5% of kidney transplantation recipients; however, the majority of patients were not treated. Pre-kidney transplantation parathyroid hormone levels ≥300pg/mL and the use of calcimimetics are associated with the development of tertiary hyperparathyroidism. These findings encourage the re-evaluation of recommended pre-kidney transplantation parathyroid hormone thresholds and reconsideration of pre-kidney transplantation secondary hyperparathyroidism treatments to avoid the adverse sequelae of tertiary hyperparathyroidism in kidney transplantation recipients.
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Normalization of Cerebral Blood Flow, Neurochemicals, and White Matter Integrity after Kidney Transplantation.
Lepping, RJ, Montgomery, RN, Sharma, P, Mahnken, JD, Vidoni, ED, Choi, IY, Sarnak, MJ, Brooks, WM, Burns, JM, Gupta, A
Journal of the American Society of Nephrology : JASN. 2021;(1):177-187
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Abstract
BACKGROUND CKD is associated with abnormalities in cerebral blood flow, cerebral neurochemical concentrations, and white matter integrity. Each of these is associated with adverse clinical consequences in the non-CKD population, which may explain the high prevalence of dementia and stroke in ESKD. Because cognition improves after kidney transplantation, comparing these brain abnormalities before and after kidney transplantation may identify potential reversibility in ESKD-associated brain abnormalities. METHODS In this study of patients with ESKD and age-matched healthy controls, we used arterial spin labeling to assess the effects of kidney transplantation on cerebral blood flow and magnetic resonance spectroscopic imaging to measure cerebral neurochemical concentrations (N-acetylaspartate, choline, glutamate, glutamine, myo-inositol, and total creatine). We also assessed white matter integrity measured by fractional anisotropy (FA) and mean diffusivity (MD) with diffusion tensor imaging. We used a linear mixed model analysis to compare longitudinal, repeated brain magnetic resonance imaging measurements before, 3 months after, and 12 months after transplantation and compared these findings with those of healthy controls. RESULTS Study participants included 29 patients with ESKD and 19 controls; 22 patients completed post-transplant magnetic resonance imaging. Cerebral blood flow, which was higher in patients pretransplant compared with controls (P=0.003), decreased post-transplant (P<0.001) to values in controls. Concentrations of neurochemicals choline and myo-inositol that were higher pretransplant compared with controls (P=0.001 and P<0.001, respectively) also normalized post-transplant (P<0.001 and P<0.001, respectively). FA increased (P=0.001) and MD decreased (P<0.001) post-transplant. CONCLUSIONS Certain brain abnormalities in CKD are reversible and normalize with kidney transplantation. Further studies are needed to understand the mechanisms underlying these brain abnormalities and to explore interventions to mitigate them even in patients who cannot be transplanted. CLINICAL TRIAL REGISTRY NAME AND REGISTRATION NUMBER Cognitive Impairment and Imaging Correlates in End Stage Renal Disease, NCT01883349.
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Safety and effectiveness of everolimus in maintenance kidney transplant patients in the real-world setting: results from a 2-year post-marketing surveillance study in Japan.
Hayase, N, Yamada, M, Kaneko, S, Watanabe, Y
Clinical and experimental nephrology. 2021;(6):660-673
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BACKGROUND Data on real-world use of everolimus (EVR) in Japanese maintenance kidney transplant (KTx) patients are limited. This post-marketing surveillance study was conducted to assess the safety and effectiveness of EVR, and identify factors affecting renal impairment. METHODS Adult maintenance KTx patients were enrolled within 14 days of initiating EVR. Patient medical data were collected using electronic data capture case report forms at 6 months, 1, and 2 years after initiating EVR, or at discontinuation. RESULTS All patients receiving EVR in Japan during the surveillance period were enrolled (N = 263). Mean time from transplantation to EVR initiation was 75.7 months. Decreased renal function (31.56%) was the primary reason for initiating EVR. In combination with EVR, the mean daily dose of tacrolimus and cyclosporine could be reduced to ~ 79 and ~ 64%, by 2 years, respectively. Incidences of serious adverse events and adverse drug reactions were 15.97 and 49.43%, respectively. Two-year graft survival rate was 95.82% and low in patients with baseline estimated glomerular filtration rate (eGFR; modification of diet in renal disease) < 30 mL/min/1.73 m2 (69.57%; P < 0.0001) and urinary protein/creatinine ratio (UPCR) ≥ 0.55 g/gCr (84.21%; P = 0.0206). Throughout the survey, mean eGFR values were stable (> 55 mL/min/1.73 m2). Renal impairment was influenced by patient and donor age, eGFR, and UPCR at baseline. CONCLUSIONS No new safety concerns for the use of EVR in adult maintenance KTx patients were identified. Early EVR initiation may be considered in these patients before renal function deterioration occurs.
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Fasting Status and Circadian Variation Must be Considered When Performing AUC-based Therapeutic Drug Monitoring of Tacrolimus in Renal Transplant Recipients.
Gustavsen, MT, Midtvedt, K, Robertsen, I, Woillard, JB, Debord, J, Klaasen, RA, Vethe, NT, Bergan, S, Åsberg, A
Clinical and translational science. 2020;(6):1327-1335
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Therapeutic drug monitoring (TDM) is mandatory for the immunosuppressive drug tacrolimus (Tac). For clinical applicability, TDM is performed using morning trough concentrations. With recent developments making tacrolimus concentration determination possible in capillary microsamples and Bayesian estimator predicted area under the concentration curve (AUC), AUC-guided TDM may now be clinically applicable. Tac circadian variation has, however, been reported, with lower systemic exposure following the evening dose. The aim of the present study was to investigate tacrolimus pharmacokinetic (PK) after morning and evening administrations of twice-daily tacrolimus in a real-life setting without restrictions regarding food and concomitant drug timing. Two 12 hour tacrolimus investigations were performed; after the morning dose and the following evening dose, respectively, in 31 renal transplant recipients early after transplantation both in a fasting-state and under real-life nonfasting conditions (14 patients repeated the investigation). We observed circadian variation under fasting-conditions: 45% higher peak-concentration and 20% higher AUC following the morning dose. In the real-life nonfasting setting, the PK-profiles were flat but comparable after the morning and evening doses, showing slower absorption rate and lower AUC compared with the fasting-state. Limited sampling strategies using concentrations at 0, 1, and 3 hours predicted AUC after fasting morning administration, and samples obtained at 1, 3, and 6 hours predicted AUC for the other conditions (evening and real-life nonfasting). In conclusion, circadian variation of tacrolimus is present when performed in patients who are in the fasting-state, whereas flatter PK-profiles and no circadian variation was present in a real-life, nonfasting setting.
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Serum phosphate levels modify the impact of parathyroid hormone levels on renal outcomes in kidney transplant recipients.
Doi, Y, Hamano, T, Ichimaru, N, Tomida, K, Obi, Y, Fujii, N, Yamaguchi, S, Oka, T, Sakaguchi, Y, Matsui, I, et al
Scientific reports. 2020;(1):13766
Abstract
Separate assessment of mineral bone disorder (MBD) parameters including calcium, phosphate, parathyroid hormone (PTH), fibroblast growth factor 23 (FGF23), 25-hydroxyvitamin D, and 1,25-dihydroxyvitamin D (1,25D) predict renal outcomes in kidney transplant recipients (KTRs), with conflicting results. To date, data simultaneously evaluating these parameters and interwoven relations on renal outcomes are scarce. We conducted a prospective long-term follow-up cohort study included 263 KTRs with grafts functioning at least 1 year after transplantation. The outcome was a composite of estimated GFR halving and graft loss. Cox regression analyses were employed to evaluate associations between a panel of six MBD parameters and renal outcomes. The outcome occurred in 98 KTRs during a median follow-up of 10.7 years. In a multivariate Cox analysis, intact PTH (iPTH), phosphate, and 1,25D levels were associated with the outcome (hazard ratio, 1.60 per log scale; 95% confidence interval, 1.19-2.14, 1.60 per mg/dL; 1.14-2.23 and 0.82 per 10 pg/mL; 0.68-0.99, respectively). Competing risk analysis with death as a competing event yielded a similar result. After stratification into four groups by iPTH and phosphate medians, high risks associated with high iPTH was not observed in KTRs with low phosphate levels (P-interaction < 0.1). Only KTRs not receiving active vitamin D, poor 1,25D status predicted the worse outcome (P-interaction < 0.1). High iPTH, phosphate, and low 1,25D, but not FGF23, levels predicted poor renal outcomes. Simultaneous evaluation of PTH and phosphate levels may provide additional information regarding renal allograft prognosis.
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Modifiable Variables Are Major Risk Factors for Posttransplant Diabetes Mellitus in a Time-Dependent Manner in Kidney Transplant: An Observational Cohort Study.
de Lucena, DD, de Sá, JR, Medina-Pestana, JO, Rangel, ÉB
Journal of diabetes research. 2020;:1938703
Abstract
Modifiable and nonmodifiable risk factors for developing posttransplant diabetes mellitus (PTDM) have already been established in kidney transplant setting and impact adversely both patient and allograft survival. We analysed 450 recipients of living and deceased donor kidney transplants using current immunosuppressive regimen in the modern era and verified PTDM prevalence and risk factors over three-year posttransplant. Tacrolimus (85%), prednisone (100%), and mycophenolate (53%) were the main immunosuppressive regimen. Sixty-one recipients (13.5%) developed PTDM and remained in this condition throughout the study, whereas 74 (16.5%) recipients developed altered fasting glucose over time. Univariate analyses demonstrated that recipient age (46.2 ± 1.3vs. 40.7 ± 0.6 years old, OR 1.04; P = 0.001) and pretransplant hyperglycaemia and BMI ≥ 25 kg/m2 (32.8% vs. 21.6%, OR 0.54; P = 0.032 and 57.4% vs. 27.7%, OR 3.5; P < 0.0001, respectively) were the pretransplant variables associated with PTDM. Posttransplant transient hyperglycaemia (86.8%. 18.5%, OR 0.03; P = 0.0001), acute rejection (P = 0.021), calcium channel blockers (P = 0.014), TG/HDL (triglyceride/high-density lipoprotein cholesterol) ratio ≥ 3.5 at 1 year (P = 0.01) and at 3 years (P = 0.0001), and tacrolimus trough levels at months 1, 3, and 6 were equally predictors of PTDM. In multivariate analyses, pretransplant hyperglycaemia (P = 0.035), pretransplant BMI ≥ 25 kg/m2 (P = 0.0001), posttransplant transient hyperglycaemia (P = 0.0001), and TG/HDL ratio ≥ 3.5 at 3-year posttransplant (P = 0.003) were associated with PTDM diagnosis and maintenance over time. Early identification of risk factors associated with increased insulin resistance and decreased insulin secretion, such as pretransplant hyperglycaemia and overweight, posttransplant transient hyperglycaemia, tacrolimus trough levels, and TG/HDL ratio may be useful for risk stratification of patients to determine appropriate strategies to reduce PTDM.
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Obesity After Successful Kidney Transplantation.
Wołoszyk, P, Małgorzewicz, S, Chamienia, A, Dębska-Ślizień, A
Transplantation proceedings. 2020;(8):2352-2356
Abstract
BACKGROUND Kidney transplantation is the most effective method of renal replacement therapy, providing better quality of life and improving survival prognosis. However, immunosuppressive therapy may negatively affect balance in recipients' body mass components, such as fat mass and lean tissue mass and consequently may result in weight gain. The purpose of the study was to investigate body composition and prevalence of obesity in a group of kidney transplant recipients (KTRs) during 2 years of observation. METHODS The study population consisted of 95 patients after kidney transplantation. Anthropometry were performed using an electronic scale, dynamometer, and multi-frequency bioimpedance analysis at baseline and over a 24-month observation period. Obesity diagnosis was based on body mass index (BMI). Sarcopenia was defined according to The European Working Group on Sarcopenia. RESULTS At baseline, overweight and obesity were found in 42.1% and 10.5% of KTRs, respectively. BMI correlated positively with body fat, lean body mass, and waist circumference (P < .05). Of all KTRs, 31.6% at baseline and 33.6% after 2 years met criteria of sarcopenia. During 24 months' observation, the kidney graft function and mean BMI were stable, but significant increase of body fat content with decrease of lean body mass was observed. Multivariate regression analysis showed a relationship between the risk of sarcopenia and low BMI and high waist circumference. CONCLUSIONS Successful transplantation was associated with weight gain with increase of body fat without increase in lean body mass (sarcopenic obesity). Results suggest the need for routine assessment of body composition and nutritional education that could prevent the consequences of adipose tissue accumulation in kidney transplant recipients.
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How Early Postoperative Urinary Tract Infections Affect Renal Graft Function at 1-Year Follow-up.
Warzyszyńska, K, Zawistowski, M, Karpeta, E, Dziewa, N, Kosieradzki, M
Transplantation proceedings. 2020;(8):2403-2408
Abstract
BACKGROUND Urinary tract infection (UTI) occurs in 21% of kidney recipients within the first 3 months after transplantation (KTx). It is associated with impaired graft function. Ureteral stent placement increases the occurrence of UTIs. The aim of this study was to assess the correlation between double-J placement, UTI incidence, and graft function. MATERIAL AND METHODS We conducted an observational study in 753 patients transplanted between 2010 and 2017 in compliance with the Helsinki Congress and the Istanbul Declaration. Recipients with preserved graft function at the 1-year follow-up were included. Medical records were searched for intraoperative double-J placement, UTI incidence, and estimated glomerular filtration rate (eGFR) on the 30th and 360th days post-transplant. Pretransplant hypothetical estimated GFR (heGFR) of each donor was calculated from donors' age and physiological age-dependent loss of functional nephrons. Spearman's correlation and linear regression analyses were applied. P < .05 was considered significant. RESULTS UTIs occurred in 239 (31.8%) patients. On the 30th day after KTx, eGFR was significantly lower in the UTI group (median, 39.5 vs 43.2; P < .01). A similar pattern was seen 1 year after KTx (47.5 vs 54.2; P < .01). Urinary stents were placed in 213 (28.3%) patients. UTIs occurred in 92 (43.2%) of them and in 147 (27.2%) of nonstented patients (odds ratio: 2; 95% confidence interval [CI], 1.5-2.8; P < .01). Median donor heGFR was 105.8 mL/min/1.73 m2, whereas median donor Modification of Diet in Renal Disease (MDRD) GFR was 64.2 mL/min/1.73 m2. A moderate correlation between age-adjusted heGFR and 1-year transplant function (r = .47) was noted. CONCLUSIONS UTIs in the early post-transplant period decreased 1-year eGFR by 4 to 5 mL/min/1.73 m2. UTIs occurred twice as often when a urinary stent was placed.
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Endostatin Is an Independent Risk Factor of Graft Loss after Kidney Transplant.
Chu, C, Hasan, AA, Gaballa, MMS, Zeng, S, Xiong, Y, Elitok, S, Krämer, BK, Hocher, B
American journal of nephrology. 2020;(5):373-380
Abstract
BACKGROUND Endostatin is a 20-kDa C-terminal fragment of collagen XVIII, known for its ability to inhibit the proliferation of capillary endothelial cells. Previous studies suggested that circulating endostatin independently predicts incident chronic kidney disease. However, the impact of endostatin on graft loss level in kidney transplant recipients (KTRs) remains unknown. METHODS We conducted a prospective observational cohort study in 574 maintenance KTRs. Patients were followed for kidney graft loss and all-cause mortality during a median follow-up of 48 months. Serum-, and urine-samples and clinical data were collected at baseline. Serum Endostatin concentration was analyzed by an ELISA. RESULTS Among 574 patients, 37 patients had graft loss and 62 patients died. For graft loss, the optimal cut-off value based on receiver operating characteristics analysis (area under the curve 0.79, 95% CI 0.71-0.86, p < 0.001) of endostatin was 147.3 pmol/L. Kaplan-Meier curves revealed that higher serum endostatin concentrations positively correlated with graft loss (p < 0.001). Multivariable Cox regression analyses showed that baseline endostatin concentrations were significantly associated with graft loss after adjusting for graft loss risk factors (adjusted hazard ratio [HR] 8.34; 95% CI 2.19-31.72; p = 0.002). The adjusted HRs for classical graft loss risk factors such as baseline estimated glomerular filtration rate and urinary protein excretion were lower (1.91 and 5.44, respectively). In contrast to graft loss, baseline endostatin concentrations were not associated with all-cause mortality. CONCLUSION Increased serum endostatin at baseline is independently associated with the risk of graft loss in KTRs.
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Urine Injury Biomarkers Are Not Associated With Kidney Transplant Failure.
Koyawala, N, Reese, PP, Hall, IE, Jia, Y, Thiessen-Philbrook, HR, Mansour, SG, Doshi, MD, Akalin, E, Bromberg, JS, Harhay, MN, et al
Transplantation. 2020;(6):1272-1279
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BACKGROUND Kidneys transplanted from deceased donors with serum creatinine-defined acute kidney injury (AKI) have similar allograft survival as non-AKI kidneys but are discarded at a higher rate. Urine injury biomarkers are sensitive markers of structural kidney damage and may more accurately predict graft outcomes. METHODS In the 2010-2013 multicenter Deceased Donor Study of 2430 kidney transplant recipients from 1298 donors, we assessed the association of donor urine injury biomarkers microalbumin, neutrophil gelatinase-associated lipocalin, kidney injury molecule-1, IL-18, and liver-type fatty acid binding protein with graft failure (GF) and death-censored GF (dcGF) using Cox proportional hazard models (median follow-up 4 y). We examined if serum creatinine-defined donor AKI modified this association to assess the relationship between subclinical donor AKI (elevated biomarkers without creatinine-defined AKI) and GF. Through chart review of a subcohort (1137 recipients), we determined associations between donor injury biomarkers and a 3-year composite outcome of GF, mortality, or estimated glomerular filtration rate ≤ 20mL/min/1.73m. RESULTS Risk of GF, dcGF, and 3-year composite outcome did not vary with donor injury biomarker concentrations after adjusting for donor, transplant, and recipient characteristics (adjusted hazard ratio ranged from 0.96 to 1.01 per log-2 increase in biomarker). Subclinical injury in transplanted kidneys without AKI was not associated with GF. CONCLUSIONS AKI measured using injury biomarkers was not associated with posttransplant graft outcomes (at median 4 y posttransplant). When assessing posttransplant graft viability, clinicians can prioritize other donor and recipient factors over donor kidney injury, measured by either serum creatinine or urine injury biomarkers.