Patient survival after renal transplantation: IV. Impact of post-transplant diabetes

The Risk for New-Onset Diabetes Mellitus after Kidney Transplantation in Patients with Autosomal Dominant Polycystic Kidney Disease: A Systematic Review and Meta-Analysis

OBJECTIVES

New-onset diabetes after kidney transplantation (NODAT) is associated with both renal allograft failure and increased rates of mortality. The objective of this meta-analysis was to evaluate the risk for NODAT in patients with autosomal dominant polycystic kidney disease (ADPKD).

METHODS

A literature search was performed using MEDLINE, EMBASE and Cochrane Database of Systematic Reviews from inception through July 2015. Studies that reported relative risks, odd ratios or hazard ratios comparing the risk for NODAT in patients with ADPKD were included. Pooled risk ratios (RRs) and 95% confidence intervals (CIs) were calculated using a random-effect, generic inverse variance method.

RESULTS

Included in the analysis were 12 cohort studies, which comprised 1379 patients with ADPKD of a total of 9849 patients who had undergone kidney transplants. The pooled RRs of NODAT in patients with ADPKD were 1.92 (95% CI, 1.36 to 2.70). When meta-analysis was limited only to studies with confounder-adjusted analysis, the pooled RRs for NODAT were 1.98 (95% CI, 1.33 to 2.94). However, the association between NODAT requiring insulin treatment was insignificant, with pooled RRs of 1.57 (95% CI, 0.75 to 3.27).

CONCLUSIONS

Our meta-analysis demonstrates a significant association between ADPKD and NODAT in recipients of kidney transplants. The findings of this study may impact clinical management and follow up for patients with ADPKD after kidney transplantation.

Diabetes Care After Transplant: Definitions, Risk Factors, and Clinical Management

Patients who undergo solid organ transplantation may have preexisting diabetes mellitus (DM), develop new-onset DM after transplantation (NODAT), or have postoperative hyperglycemia that resolves shortly after surgery. Although insulin is usually used to control hyperglycemia in the hospital, following discharge most of the usual diabetes oral and parenteral medications can be used in treatment. However, when there are comorbidities such as impaired kidney or hepatic function, or heart disease, special precautions may be necessary. In addition, drug-drug interactions, such as drugs interacting with CYP3A4 enzyme pathway, require additional consideration because of possible interaction with immunosuppressive drug metabolism.

Hypomagnesemia linked to new-onset diabetes mellitus after kidney transplantation: A systematic review and meta-analysis

BACKGROUND

New-onset diabetes after kidney transplantation (NODAT) is associated with both renal allograft failure and increased mortality. The objective of this meta-analysis was to evaluate the risk of NODAT in patients with hypomagnesemia.

METHODS

A literature search was performed using MEDLINE, EMBASE, and Cochrane Database of Systematic Reviews from inception through May, 2015. Studies that reported relative risks, odd ratios or hazard ratios comparing the risk of NODAT in patients with hypomagnesemia were included. Pooled risk ratios (RR) and 95% confidence interval (CI) were calculated using a random-effect, generic inverse variance method.

RESULTS

Five cohort studies with 1699 patients were included in the analysis to assess the risk of NODAT in patients with hypomagnesemia. The pooled RR of NODAT in patients with hypomagnesemia was 1.25 (95% CI, 1.08-1.45). When meta-analysis was limited only to studies with the post-transplant hypomagnesemia, the pooled RR of NODAT was 1.22 (95% CI, 1.09-1.38).

CONCLUSION

Our meta-analysis demonstrates a significant association between hypomagnesemia and NODAT in kidney transplant recipients. This finding suggests the need for a large randomized controlled trial-with very careful attention to assess the effects of normalizing Mg levels and the risk of NODAT.

Hyperglycemia and Diabetes Mellitus Following Organ Transplantation

Hyperglycemia is common following organ transplantation, regardless of the pre-transplant diabetes status. Transient post-transplant hyperglycemia and/or new-onset diabetes after transplantation (NODAT) are common and are associated with increased morbidity and mortality. NODAT and type 2 diabetes share similar characteristics, but the pathophysiology may differ. Immunosuppressive agents and steroids play a key role in the development of NODAT. Glycemic control is challenging in this population due to fluctuating renal/end-organ function, immunosuppressive dosing, nutritional status, and drug-drug interactions. A proactive and multidisciplinary approach is essential, along with flexible protocols to adjust to patient status, type of organ transplanted, and corticosteroid regimens. Insulin is the preferred agent for hospitalized patients and during the early post-transplant period; optimal glycemic control (BG < 180 mg/dl with minimal hypoglycemia [<70 mg/dl]) is desired.

Post-Transplant Diabetes Mellitus: Causes, Treatment, and Impact on Outcomes

Post-transplant diabetes mellitus (PTDM) is a frequent consequence of solid organ transplantation. PTDM has been associated with greater mortality and increased infections in different transplant groups using different diagnostic criteria. An international consensus panel recommended a consistent set of guidelines in 2003 based on American Diabetes Association glucose criteria but did not exclude the immediate post-transplant hospitalization when many patients receive large doses of corticosteroids. Greater glucose monitoring during all hospitalizations has revealed significant glucose intolerance in the majority of recipients immediately after transplant. As a result, the international consensus panel reviewed its earlier guidelines and recommended delaying screening and diagnosis of PTDM until the recipient is on stable doses of immunosuppression after discharge from initial transplant hospitalization. The group cautioned that whereas hemoglobin A1C has been adopted as a diagnostic criterion by many, it is not reliable as the sole diabetes screening method during the first year after transplant. Risk factors for PTDM include many of the immunosuppressant medications themselves as well as those for type 2 diabetes. The provider managing diabetes and associated dyslipidemia and hypertension after transplant must be careful of the greater risk for drug-drug interactions and infections with immunosuppressant medications. Treatment goals and therapies must consider the greater risk for fluctuating and reduced kidney function, which can cause hypoglycemia. Research is actively focused on strategies to prevent PTDM, but until strategies are found, it is imperative that immunosuppression regimens are chosen based on their evidence to prolong graft survival, not to avoid PTDM.

CCL2 gene polymorphism is associated with post-transplant diabetes mellitus

Post-transplant diabetes mellitus (PTDM) is a common complication after solid organ transplantation, especially in recipients treated with calcineurin inhibitors. Previous studies suggest that chronic inflammation and chemokines play an important role in the pathogenesis of diabetes. Single-nucleotide polymorphisms (SNPs) can increase or decrease transcriptional activity and can change the production of chemokines. The aim of this study was to examine the association between CCL2 and CCL5 gene polymorphisms and the development of post-transplant diabetes mellitus. The study included 315 patients who received kidney transplants and were treated with calcineurin inhibitors. Patients were divided into two subgroups: with PTDM (n=43) and without PTDM (n=272). An additive model of univariate Cox regression analysis showed that the hazard of PTDM development was significantly positively associated with the number of CCL2 rs1024611 G alleles (HR 1.65; 95%CI 1.08-2.53; p=0.021). Multivariate Cox regression analysis, taking into the account the recipient's sex, age and BMI, as well as the number of G alleles of the CCL2 rs1024611 polymorphism, revealed that this polymorphism is an independent risk factor for post-transplant diabetes. The results of our study suggest an association between the CCL2 gene rs1024611 G allele and PTDM in patients treated with tacrolimus or cyclosporine.

Risk factors for post-transplant diabetes mellitus in renal transplant: Role of genetic variability in the CYP450-mediated arachidonic acid metabolism

Arachidonic acid (AA) is metabolized by cytochrome P450 (CYP) enzymes to epoxyeicosatrienoic acids (EETs) and 20-hidroxyeicosatetraenoic acid (20-HETE), which play an important role both in renal transplant and diabetes mellitus (DM). We searched for associations between polymorphisms in this metabolic pathway and the risk of post-transplant diabetes mellitus (PTDM) in kidney recipients. One-hundred-sixty-four patients were genotyped for common SNPs in this route, namely CYP2C8*3, CYP2C8*4, CYP2C9*2, CYP2C9*3, CYP2J2*7, CYP4A11 F434S and CYP4F2 V433M. Demographic and clinical parameters were retrospectively collected at four time-points in the first year after grafting. Thirty-four patients (20.73%) developed PTDM, which was more prevalent among older patients [OR for older age = 1.06 (1.03-1.10), p < 0.001] and in those with higher body mass index (BMI) [OR for higher average BMI in the first year = 1.13 (1.04-1.23); p < 0.01]. Creatinine clearance [OR = 0.97 (0.95-0.99); p < 0.01] and exposure to tacrolimus [OR = 3.25 (1.15-9.19); p < 0.05] were also relevant for PTDM risk. With regard to genetic variants, logistic regression analysis controlling for significant demographic and clinical variables showed that the V433M polymorphism in CYP4F2, responsible for 20-HETE synthesis, was an independent risk factor for PTDM [OR = 3.94 (1.08-14.33); p < 0.05]. We have shown that a genetic variant in the CYP4F2 gene, the main gene implicated in 20-HETE synthesis, is associated with the risk for PTDM. Our findings suggest that genes in the metabolic pathways of AA may become good candidates in genetic association studies for PTDM.

Impact of Resistance Training on Factors Involved in the Development of New-Onset Diabetes After Transplantation in Renal Transplant Recipients: An Open Randomized Pilot Study

OBJECTIVES

New-onsetdiabetes after transplant (NODAT) is a major contributor to cardiovascular disease after transplantation. Kidney transplantation (KT) recipients have low levels of exercise capacity. Resistance training (RT) might be of special benefit in this population because underlying disease and immunosuppressive drugs favour muscle loss and insulin resistance. The aim of this study was to assess the feasibility of implementing an RT program within a population of KT recipients and its impact on the incidence of NODAT and cardiometabolic risk factors.

METHODS

This pilot study was an open-randomized study. We randomized 24 patients with a 1:1 allocation to 2 parallel groups, the exercise group (E) or the control group (C). The E group was submitted to RT 3 times a week for 16 weeks. Anthropometric, body composition, cardiometabolic risk factors, muscle strength, cardiorespiratory fitness and well-being were measured before and after 16 weeks.

RESULTS

Of the 24 recruited participants, 20 completed the study (10 in the E group and 10 in the C group). No injuries were reported. The intervention was associated with a significant increase in muscle strength (p=0.003). A significant group effect, in favour of the E group, was detected for the well-being score (p=0.03). However, no changes in body composition, cardiometabolic risk factors or cardiorespiratory fitness were noted for either group after the intervention.

CONCLUSIONS

This pilot study suggests that RT appears to be secure and feasible and improves strength and well-being in patients after KT. However, it does not improve cardiometabolic risk factors.

Effect of transient post-transplantation hyperglycemia on the development of diabetes mellitus and transplantation outcomes in kidney transplant recipients

BACKGROUND

Hyperglycemia occurs frequently after kidney transplantation and may be reversed when the dosage of the immunosuppressive agents is tapered. However, the effect of transient post-transplantation hyperglycemia (PTH) on transplantation outcomes is not well described.

METHODS

Kidney transplant recipients without diabetes who underwent kidney transplantation between 2001 and 2012 were enrolled in the study. Transient PTH was defined as recovery from PTH without further antidiabetic therapy and the maintenance of glycated hemoglobin levels <6.5% at 1 year after transplantation. Persistent PTH until 1 year after transplantation was considered to be new-onset diabetes after transplantation (NODAT). The factors associated with increased risk of PTH were analyzed. We compared the development of diabetes mellitus, cardiovascular disease, and other transplantation outcomes among patients with no PTH, transient PTH, and NODAT.

RESULTS

Among 176 kidney transplant recipients, 106 (60.2%) developed PTH and 58 (54.7%) of 106 patients with PTH had transient PTH. Older age, high body mass index (BMI), and female gender were independent risk factors for transient PTH. The incidence of diabetes was not significantly different between patients with no PTH and those with transient PTH. The incidence of cardiovascular disease was significantly increased in NODAT group compared with that in no PTH and transient PTH groups. However, the incidences of acute rejection, allograft loss, and patient death were comparable among the three groups.

CONCLUSIONS

Transient hyperglycemia after kidney transplantation was found to be associated with older age, high body mass index, and female gender. Transient elevation of blood glucose level did not affect post-transplantation outcomes, including diabetes mellitus and cardiovascular disease. However, patients with NODAT should be carefully monitored for the occurrence of cardiovascular disease.

Hypomagnesemia and the Risk of New-Onset Diabetes Mellitus after Kidney Transplantation

Several studies suggest a link between post-transplant hypomagnesemia and new-onset diabetes after transplantation (NODAT), but this relationship remains controversial. We conducted a retrospective cohort study of 948 nondiabetic kidney transplant recipients from January 1, 2000, to December 31, 2011, to examine the association between serum magnesium level and NODAT. Multivariable Cox proportional hazards models were fitted to evaluate the risk of NODAT as a function of baseline (at 1 month), time-varying (every 3 months), and rolling-average (i.e., mean for 3 months moving at 3-month intervals) serum magnesium levels while adjusting for potential confounders. A total of 182 NODAT events were observed over 2951.2 person-years of follow-up. Multivariable models showed an inverse relationship between baseline serum magnesium level and NODAT (hazard ratio [HR], 1.24 per 0.1 mmol/L decrease; 95% confidence interval [95% CI], 1.05 to 1.46; P=0.01). The association with the risk of NODAT persisted in conventional time-varying (HR, 1.32; 95% CI, 1.14 to 1.52; P<0.001) and rolling-average models (HR, 1.34; 95% CI, 1.13 to 1.57; P=0.001). Hypomagnesemia (serum magnesium <0.74 mmol/L) also significantly associated with increased risk of NODAT in baseline (HR, 1.58; 95% CI, 1.07 to 2.34; P=0.02), time-varying (HR, 1.78; 95% CI, 1.29 to 2.45; P<0.001), and rolling-average models (HR, 1.83; 95% CI, 1.30 to 2.57; P=0.001). Our results suggest that lower post-transplant serum magnesium level is an independent risk factor for NODAT in kidney transplant recipients. Interventions targeting serum magnesium to reduce the risk of NODAT should be evaluated.

Diabetes Mellitus and Prediabetes on Kidney Transplant Waiting List- Prevalence, Metabolic Phenotyping and Risk Stratification Approach

BACKGROUND

Despite a significant prognostic impact, little is known about disturbances in glucose metabolism among kidney transplant candidates. We assess the prevalence of diabetes mellitus (DM) and prediabetes on kidney transplant waiting list, its underlying pathophysiology and propose an approach for individual risk stratification.

METHODS

All patients on active kidney transplant waiting list of a large European university hospital transplant center were metabolically phenotyped.

RESULTS

Of 138 patients, 76 (55%) had disturbances in glucose metabolism. 22% of patients had known DM, 3% were newly diagnosed. 30% were detected to have prediabetes. Insulin sensitivity and-secretion indices allowed for identification of underlying pathophysiology and risk factors. Age independently affected insulin secretion, resulting in a relative risk for prediabetes of 2.95 (95%CI 1.38-4.83) with a cut-off at 48 years. Body mass index independently affected insulin sensitivity as a continuous variable.

CONCLUSIONS

The prevalence of DM or prediabetes on kidney transplant waiting list is as high as 55%, with more than one third of patients previously undiagnosed. Oral glucose tolerance test is mandatory to detect all patients at risk. Metabolic phenotyping allows for differentiation of underlying pathophysiology and provides a basis for early individual risk stratification and specific intervention to improve patient and allograft outcome.

Historical cohort with diabetes mellitus after kidney transplantation and associated factors of its development in adult patients of a transplantation reference center in the State of Ceará, Brazil

Post-transplantation diabetes mellitus (PTDM) is an important complication related to kidney transplantation (KT), and its occurrence is associated with increased morbidity and mortality. Nevertheless, KT is considered to be the most effective treatment option that offers better quality of life for patients with end-stage kidney disease. This study aimed to describe the occurrence of PTDM and the risk factors associated with its development in kidney transplant patients of a transplantation reference center in the State of Ceará (Brazil). This historical cohort study, based on medical records data, included adult patients undergoing KT from January 2006 to December 2010 in a public tertiary hospital. Multivariate analysis was performed with the use of a logistic regression model, with PTDM presence as dependent variable and the possible risk factors under study as independent variables. Throughout the evaluated period, 430 KTs were performed; 92 patients were excluded. Diabetes mellitus was already present in 9.2% of patients before KT. Hyperglycemia during the 1st month after transplantation occurred in 34.5% of recipients, and the occurrence of PTDM to the end of study was 19.9%. Factors associated with PTDM development were: fasting plasma glucose 1 month after KT (P < .001; odds ratio [OR] 1.05), deceased-donor KT (P = .015; OR 3.53), impaired fasting glucose before transplantation (P = .014; OR 4.10), and acute rejection occurrence (P = .003; OR 6.43). High PTDM occurrence was found, in accordance with the literature. Identification of factors associated with PTDM development, as well as its early diagnosis, could result in long-term improvement in patient and graft survivals.

Association of Extrarenal Adverse Effects of Posttransplant Immunosuppression With Sex and ABCB1 Haplotypes

Extrarenal adverse effects (AEs) associated with calcineurin inhibitor (CNI) and mycophenolic acid (MPA) occur frequently but are unpredictable posttransplant complications. AEs may result from intracellular CNI accumulation and low activity of P-glycoprotein, encoded by the ABCB1 gene. Since ABCB1 single nucleotide polymorphisms (SNPs) and sex influence P-glycoprotein, we investigated haplotypes and extrarenal AEs. A prospective, cross-sectional study evaluated 149 patients receiving tacrolimus and enteric coated mycophenolate sodium or cyclosporine and mycophenolate mofetil. Immunosuppressive AE assessment determined individual and composite gastrointestinal, neurologic, aesthetic, and cumulative AEs. Lipids were quantitated after 12-hour fast. ABCB1 SNPs: c.1236C>T (rs1128503), c.2677G>T/A (rs2032582), and c.3435C>T (rs1045642) were determined with haplotype associations computed using the THESIAS program, and evaluated by immunosuppression, sex and race using multivariate general linear models. Tacrolimus patients exhibited more frequent and higher gastrointestinal AE scores compared with cyclosporine with association to CTT (P = 0.018) and sex (P = 0.01). Aesthetic AE score was 3 times greater for cyclosporine with TTC haplotype (P = 0.005). Females had higher gastrointestinal (P = 0.022), aesthetic (P < 0.001), neurologic (P = 0.022), and cumulative AE ratios (P < 0.001). Total cholesterol (TCHOL), low-density lipoproteins (LDL), and triglycerides were higher with cyclosporine. The TTC haplotype had higher TCHOL (P < 0.001) and LDL (P = 0.005). Higher triglyceride (P = 0.034) and lower high-density lipoproteins (P = 0.057) were associated with TTT with sex-adjusted analysis. ABCB1 haplotypes and sex were associated with extrarenal AEs. Using haplotypes, certain female patients manifested more AEs regardless of CNI. Haplotype testing may identify patients with greater susceptibility to AEs and facilitate CNI individualization.

Adiponectin and leptin gene polymorphisms in patients with post-transplant diabetes mellitus

Background: Post-transplant diabetes mellitus (PTDM) is a common metabolic complication after organ transplantation and may be associated with the use of calcineurin inhibitors (tacrolimus and cyclosporine). Leptin and adiponectin are adipokines and play an important role in the regulation of insulin secretion as well as glucose and lipid metabolism. Aim: The aim of this study was to examine the association between adiponectin and leptin gene polymorphisms and development of PTDM. Materials & methods: The study included 323 patients who received kidney transplants and were treated with calcineurin inhibitors (tacrolimus or cyclosporine). Results: The association between adiponectin and leptin gene polymorphisms and PTDM was studied in three models of Cox regression analysis – additive, dominant and recessive. In these three models, the LEP rs2167270 gene polymorphism was statistically significantly associated with increased risk of PTDM. The association between the LEP rs2167270 polymorphism and PTDM was confirmed by multivariate regression analysis. Conclusion: The results of our study suggest an association between the leptin rs2167270 gene A allele and PTDM.

Original submitted 27 February 2015; Revision submitted 22 May 2015

Management of the hospitalized transplant patient

Significant hyperglycemia is commonly observed immediately after solid organ and bone marrow transplant as well as with subsequent hospitalizations. Surgery and procedures are well known to cause pain and stress leading to secretion of cytokines and other hormones known to aggravate insulin action. Immunosuppression required for transplant and preexisting risk are also major factors. Glucose control improves outcomes for all hospitalized patients, including transplant patients, but is often more challenging to achieve because of frequent and sometimes unpredictable changes in immunosuppression doses, renal function, and nutrition. As a result, risk of hypoglycemia can be greater in this patient group when trying to achieve glucose control goals for hospitalized patients. Key to successful management of hyperglycemia is regular communication between the members of the care team as well as anticipating and rapidly implementing a new treatment paradigm in response to changes in immunosuppression, nutrition, renal function, or evidence of changing insulin resistance.

THE RATIONALE FOR USE OF INCRETINS IN THE MANAGEMENT OF NEW ONSET DIABETES AFTER TRANSPLANTATION (NODAT)

OBJECTIVE

Owing to advances in transplant science, increasing numbers of patients are receiving solid organ transplantation. New onset diabetes after transplantation (NODAT) frequently develops in transplant patients and requires acute and often ongoing management of hyperglycemia. The metabolic derangements of NODAT are similar to those of classic type 2 diabetes, and treatment has typically followed diabetes standards of care. Best practices for NODAT management remain to be developed.

METHODS

The mechanistic suitability of incretins to treat NODAT pathogenesis has been hitherto underappreciated. This review details the specific mechanistic value of incretins in patients with immunosuppression-associated hyperglycemia.

RESULTS

Corticosteroids have long been known to exert their effects on glucose metabolism by decreasing glucose utilization and enhancing hepatic gluconeogenesis. Corticosteroids also significantly and directly reduce insulin secretion, as do calcineurin inhibitors (CNIs), another commonly used group of immunosuppressive drugs that cause hyperglycemia and NODAT. The ability of incretins to counteract immunosuppressant-induced disruptions in insulin secretion suggest that the insulinotropic, glucagonostatic, and glucose-lowering actions of incretins are well suited to treat immunosuppressant-induced hyperglycemia in NODAT. Additional benefits of incretins include decreased glucagon levels and improved insulin resistance. In the case of glucagon-like peptide-1 (GLP-1) receptor agonists, weight loss is another benefit, countering the weight gain that is a common consequence of both hyperglycemia and transplantation. These benefits make incretins very attractive and deserving of more investigation.

CONCLUSION

Among diabetes treatment options, incretin therapies uniquely counteract immunosuppressant drugs' interference with insulin secretion. We propose an incretin-based treatment paradigm for NODAT management.

New-onset diabetes after kidney transplant in children

The development of new-onset diabetes after kidney transplantation (NODAT) is associated with reduced graft function, increased cardiovascular morbidity and lower patient survival among adult recipients. In the pediatric population, however, the few studies examining NODAT have yielded inconsistent results. Therefore, the true incidence of NODAT in the pediatric population has been difficult to establish. The identification of children and adolescents at risk for NODAT requires appropriate screening questions and tests pre- and post-kidney transplant. Several risk factors have been implicated in the pathogenesis of NODAT and post-transplant glucose intolerance, including African American race, obesity, family history of diabetes and the type of immunosuppressant regimen. Moreover, uremia per se results in a state of insulin resistance that increases the risk of developing diabetes post-transplant. When an individual becomes glucose intolerant, early lifestyle modification and antihyperglycemic measures with tailoring of the immunosuppressant regimen should be implemented to prevent the development of NODAT. For the child or adolescent with NODAT, antihyperglycemic therapy should be prescribed in order to achieve optimal glycemic control, ultimately reducing complications and improving overall allograft and patient survival. In this article, we review the risk factors, screening methods, diagnosis, management and outcome of children and adolescents with NODAT and post-kidney transplant glucose intolerance.

Multivariable risk of developing new onset diabetes after transplant-results from a single-center study of 481 adult, primary kidney transplant recipients

BACKGROUND

Understanding the relative contributions of baseline demographics and immunosuppressive therapy on NODAT risk may help in developing preventive strategies.

METHODS

Using our prospectively followed cohort of 481 adult, primary kidney transplant recipients without pre-transplant diabetes, we determined the significant baseline predictors for the hazard rate of developing NODAT via Cox stepwise regression. The multivariable influence of first BPAR (defined as a time-dependent covariate) was also tested.

RESULTS

Median follow-up was 57 mo post-transplant; the overall percentage who developed NODAT was 22.5% (108/481). Four baseline predictors of a greater NODAT hazard rate were found (by order of selection): higher BMI (p < 0.000001), planned maintenance with SRL (p = 0.0003), non-white recipient (p = 0.0004), and older recipient age (p = 0.0004). Approximately one-half of the 106 patients in the highest demographic risk category (BMI ≥25 kg/m(2) , non-white race, and age at transplant ≥40 yr) developed NODAT; actuarial NODAT risk ranged from 10% to 30% in the lower demographic risk categories. First BPAR was also associated with significantly higher NODAT in multivariable analysis (p = 0.02)-the highly elevated NODAT rate observed during the first few months post-transplant and following first BPAR appears to demonstrate the diabetogenic effect of using high-dose (intravenous) corticosteroids.

CONCLUSIONS

The disturbingly high NODAT rate found among patients having multiple demographic risk factors is still an important problem that awaits a better solution.

Tacrolimus decreases insulin sensitivity without reducing fasting insulin concentration: a 2-year follow-up study in kidney transplant recipients

New Onset Diabetes after Transplantation (NODAT) is defined as sustained hyperglycemia developing in patients without diabetes history before transplantation. A cohort study was performed to access the effects of tacrolimus on insulin secretion and insulin sensitivity and consequently in the development of NODAT in kidney transplant recipients. Then, we further investigated the association between NODAT and single-nucleotide polymorphisms of IRS-1 and IRS-2 in renal allograft recipients. One hundred and fifty-eight kidney transplant patients, receiving tacrolimus as the base immunosuppressant, were divided into two groups: with or without NODAT. Plasma levels of fasting insulin concentration (FINS) and C-peptide were determined by enhanced chemiluminescence immunoassay and ADVIA Centaur C peptide assay, respectively. The genotypes of Gly1057Asp in IRS-2 and Gly972Arg in IRS-1 were detected through polymerase chain reaction fragment length polymorphism in NODAT and non-NODAT patients. It was found that the concentrations of fasting plasma insulin and C-peptide in NODAT and non-NODAT patients treated with tacrolimus were higher than that in healthy volunteers (p < 0.05). Fasting plasma insulin concentration in NODAT was significantly elevated compared with than that in non-NODAT group (p < 0.05). But there are no statistical differences in fasting plasma C-peptide concentrations between NODAT and non-NODAT groups. The allele and genotype frequencies of IRS-2 Gly1057Asp and IRS-1 Gly972Arg in NODAT patients were not significantly different from non-NODAT patients (p > 0.05). In conclusion, insulin resistance is the primary cause of tacrolimus-induced NODAT. The IRS-2 Gly1057Asp and IRS-1 Gly972Arg genotypes are not related to NODAT.

Single-centre study of 628 adult, primary kidney transplant recipients showing no unfavourable effect of new-onset diabetes after transplant

AIMS/HYPOTHESIS

To better understand the implications of new-onset diabetes after transplant (NODAT), we used our prospectively followed cohort of 628 adult primary kidney transplant recipients to determine the prognostic impact of pretransplant diabetes and NODAT.

METHODS

The study cohort consisted of all participants in four randomised immunosuppression trials performed at our centre since May 2000. For each cause-specific hazard analysed, Cox stepwise regression was used to determine a multivariable model of significant baseline predictors; the multivariable influence of having pretransplant diabetes and NODAT (t) (the latter defined as a zero-one, time-dependent covariate) was subsequently tested. Similar analyses of estimated glomerular filtration rate (eGFR) at 36 and 60 months post transplant were performed using stepwise linear regression. Finally, a repeated measures analysis of mean HbA1c as a function of diabetes category (pretransplant diabetes vs NODAT) and randomised trial (first to fourth) was performed.

RESULTS

Median follow-up was 56 months post transplant. Patients with pretransplant diabetes comprised 23.4% (147/628), and 22.5% (108/481) of the remaining patients developed NODAT. Pretransplant diabetes had no prognostic influence on first biopsy-proven acute rejection and death-censored graft failure hazard rates, nor on eGFR, but was associated with significantly higher rates of death with a functioning graft (DWFG) (p = 0.003), DWFG due to a cardiovascular event (p = 0.005) and infection that required hospitalisation (p = 0.03). NODAT (t) had no unfavourable impact on any of these hazard rates nor on eGFR, with actuarial freedom from DWFG remaining at over 90% among patients in pre- and post-NODAT states at 72 months post transplant/NODAT. Mean HbA1c for patients in the first to fourth randomised trials, averaged across diabetes category, decreased by trial (7.28%, 6.92%, 6.87% and 6.64% [56.1, 52.1, 51.6 and 49.1 mmol/mol], respectively; p = 0.02).

CONCLUSIONS/INTERPRETATION

Less-than-expected post-NODAT risk for graft loss and death may exist in the current climate of tighter glucose monitoring post transplant.

Hyperparathyroidism and new onset diabetes after renal transplantation

BACKGROUND

Secondary hyperparathyroidism persists after renal transplantation in a substantial number of patients. Primary hyperparathyroidism and secondary hyperparathyroidism are both associated with abnormalities in glucose metabolism, such as insufficient insulin release and glucose intolerance. The association of hyperparathyroidism and diabetes after renal transplantation has, as far as we know, not been studied. Our aim was to investigate whether hyperparathyroidism is associated with new-onset diabetes mellitus after transplantation (NODAT) during the first year posttransplantation.

STUDY DESIGN

In a retrospective study, we analyzed data on patient characteristics, treatment details, and parathyroid hormone (PTH) in 245 adult nondiabetic patients who underwent renal transplantation between January 2000 and June 2011.

RESULTS

The first year cumulative incidence of NODAT was 15%. The first serum PTH value after transplantation was above normal range in 74% of the patients. In multiple logistic regression analysis, PTH levels above twice normal range (>13.80 pmol/L) were significantly associated with NODAT (odds ratio [OR], 4.25; 95% confidence interval [CI], 1.13-15.92; P = .03) compared with PTH within normal range (≤6.9 pmol/L). Age between 45 and 65 years (OR, 2.80; 95% CI, 1.07-7.36; P = .04) compared with age <45 years was also associated with NODAT.

CONCLUSION

We found a strong association between hyperparathyroidism and NODAT in the first year after renal transplantation. Both conditions are common and have a negative impact on graft and patient survivals. Our results should be confirmed in prospective studies.

Antidiabetic therapy in post kidney transplantation diabetes mellitus

Post-transplantation diabetes mellitus (PTDM) is a common complication after kidney transplantation that affects up to 40% of kidney transplant recipients. By pathogenesis, PTDM is a diabetes form of its own, and may be characterised by a sudden, drug-induced deficiency in insulin secretion rather than worsening of insulin resistance over time. In the context of deteriorating allograft function leading to a re-occurrence of chronic kidney disease after transplantation, pharmacological interventions in PTDM patients deserve special attention. In the present review, we aim at presenting the current evidence regarding efficacy and safety of the modern antidiabetic armamentarium. Specifically, we focus on incretin-based therapies and insulin treatment, besides metformin and glitazones, and discuss their respective advantages and pitfalls. Although recent pilot trials are available in both prediabetes and PTDM, further studies are warranted to elucidate the ideal timing of various antidiabetics as well as its long-term impact on safety, glucose metabolism and cardiovascular outcomes in kidney transplant recipients.

New-onset diabetes and glucose regulation are significant determinants of left ventricular hypertrophy in renal transplant recipients

BACKGROUND

New-onset diabetes after transplantation (NODAT) is associated with decreased graft survival and an increased risk for cardiovascular disease. The objective of this study was to evaluate the risk factors for development of NODAT and its' relationship with arterial stiffness and left ventricular mass index (LVMI) in kidney transplant recipients.

METHODS

159 kidney transplant recipients were selected from our transplantation center who underwent renal transplantation between years 2007 and 2010.

RESULTS

Among 159 patients, 57 (32.2%) patients were with NODAT who were significantly older than patients without diabetes (P: 0.0001). Patients with NODAT had significantly higher pulse wave velocity (PWv) (P: 0.033) and left ventricular mass index LVMI (P: 0.001) compared to patients without NODAT. Further analysis was done according to LVMI as follows: LVMI > 130 g/m(2) (n: 57) and LVMI ≤ 130 g/m(2) (n: 102). We observed higher office systolic and diastolic BP, serum trygliceride, glucose, creatinine, age, and HbA1c (P: 0.0001) levels in patients with LVMI > 130 g/m(2). Linear regression analysis revealed that HbA1c was the major determinant of LVMI (P: 0.026, β: 0.361).

CONCLUSIONS

HbA1c is the major determinant of LVMI, so strict control of serum glucose levels is essential for preventing cardiovascular disease in patients with NODAT.

Insulin resistance as a risk factor for new-onset diabetes after kidney transplantation

INTRODUCTION

New-onset diabetes after transplantation (NODAT) is a serious and common complication after kidney transplantation. Insulin resistance, together with β-cell dysfunction, plays an essential role in the development of diabetes. Homeostasis model assessment of insulin resistance (HOMA-IR), which is calculated as [fasting plasma glucose (mmol/L) × fasting insulin (mU/L)]/22.5, is widely used as an index of insulin resistance. However, the correlation between pretransplant HOMA-IR and the development of NODAT has not been fully established.

METHODS

We performed a retrospective study of 44 nondiabetic patients who underwent living donor kidney transplantation in our hospital from July 2006 to October 2009. We compared the HOMA-IR and demographic variables of patients who developed NODAT with those who did not.

RESULTS

Five patients (11.4%) developed NODAT within 3 years after transplantation. There were no differences in demographic variables between patients who developed NODAT and those who did not. Logistic regression analysis revealed that HOMA-IR was a predictive factor of NODAT (odds ratio, 2.88; 95% CI, 1.11-9.59; P < .05).

CONCLUSIONS

Our results indicate that high HOMA-IR might be an important predictive factor for NODAT. These findings underline the importance of routine pretransplant measurements of fasting plasma glucose and serum insulin for evaluating HOMA-IR.

[Metabolic complications after renal transplantation from a living donor: experience of the Ibn Sina university hospital of Rabat]

La transplantation rénale (TR) constitue le traitement de choix de l'insuffisance rénale chronique terminale. Les complications métaboliques après TR (diabète, dyslipidémie, hyperuricémie, obésité), en grande partie liées au traitement immunosuppresseur, deviennent une préoccupation car elles constituent un facteur de risque de morbimortalité et de perte fonctionnelle du greffon. Le but de notre étude est d’évaluer la fréquence de ces anomalies après TR. Il s'agit d'une étude rétrospective incluant tous les patients ayant bénéficié d'une première TR par donneur vivant (DV) de Juin 1998 à Décembre 2010. Nous avons recensé les données démographiques propres au receveur, le traitement immunosuppresseur après TR. Les paramètres clinico-biologiques recueillis sont (index de masse corporel (IMC), glycémie à jeun, hémoglobine glyquée, CT, C-HDL, C-LDL, TG, acide urique). Soixante dix patients ont été colligés, l’âge moyen est de 36.3 + /-9.6 ans (21 à 62) avec un sex ratio de 0.5. Quinze patients (21.4%) étaient hypertendus avant la TR et 2.9% avaient une néphropathie diabétiques. L’âge moyen du donneur est de 47.5 + /-10.2 ans (20-65). Le traitement immunosuppresseur pendant la phase d'induction était une trithérapie associant corticostéroïdes, anticalcineurines chez tous les patients et mycophénolate mofétil chez 68.6% et azathioprine dans 31.4% des cas. L'IMC moyen était de 24.1 + /-4.0 (16.9 à 37), 33% des patients étaient considérés en surpoids dont 21.8% en obésité. L'hypercholestérolémie, a été retrouvée chez 25 patients soit 36%. Presque la moitié des patients (48.5%) avaient une hyperuricémie. Quatre patients ont développé un diabète après TR soit 6% des cas. La perte du greffon a été notée chez 12 patients et 2 patients sont décédés dont un avec un greffon fonctionnel. En analyse univariée, l'hyperuricémie et la dyslipidémie ont été considérées comme facteur de risque de perte du greffon et retour en dialyse avec p = 0.024 et 0.021 respectivement. Les complications métaboliques après TR sont fréquentes et méritent une attention particulière car elles représentent un facteur de morbi-mortalité. L’éducation précoce du patient greffé est nécessaire et s'appuie sur une prise en charge multidisciplinaire impliquant les néphrologues, diététiciennes, psychologues et médecins généralistes.

Four pediatric patients with autosomal recessive polycystic kidney disease developed new-onset diabetes after renal transplantation

NODAT is increasingly prevalent. Compared with adult recipients, NODAT is less prevalent in pediatric renal transplant recipients; however, some risk factors for its development in young patients have been defined. We report four pediatric renal transplant recipients with ARPKD who developed NODAT. We review the current pediatric NODAT literature and hypothesize that ARPKD may be an additional risk factor for NODAT.

The effect of intensive nutrition interventions on weight gain after kidney transplantation: protocol of a randomised controlled trial

BACKGROUND

Weight gain and obesity are common after kidney transplantation, particularly during the first year. Obesity is a risk factor for the development of new-onset diabetes after transplantation, and is associated with reduced graft survival. There is a lack of evidence for effective interventions to prevent weight gain after kidney transplantation.

METHODS/DESIGN

The effect of INTEnsive Nutrition interventions on weight gain after kidney Transplantation (INTENT) trial is a single-blind (outcomes assessor), randomised controlled trial to assess the effect of intensive nutrition interventions, including exercise advice, on weight gain and metabolic parameters in the first year after transplantation. Participants will be randomised during the first post-transplant month to either standard care (four visits with a renal dietitian over twelve months) or intensive nutrition intervention (eight visits with a renal dietitian over the first six months, four visits over the second six months, and three visits over the first six months with an exercise physiologist). In the intensive intervention group, nutrition counselling will be provided using motivational interviewing techniques to encourage quality engagement. Collaborative goal setting will be used to develop personalised nutrition care plans. Individualised advice regarding physical activity will be provided by an exercise physiologist. The primary outcome of the study is weight at six months after transplant, adjusted for baseline (one month post-transplant) weight, obesity and gender. Secondary outcomes will include changes in weight and other anthropometric measures over 12 months, body composition (in vivo neutron activation analysis, total body potassium, dual-energy X-ray absorptiometry, and bioelectrical impedance), biochemistry (fasting glucose, lipids, haemoglobin A1c and insulin), dietary intake and nutritional status, quality of life, and physical function.

DISCUSSION

There are currently few randomised clinical trials of nutrition interventions after kidney transplantation. The INTENT trial will thus provide important data on the effect of intensive nutrition interventions on weight gain after transplant and the associated metabolic consequences. Additionally, by assessing changes in glucose metabolism, the study will also provide data on the feasibility of undertaking larger multi-centre trials of nutrition interventions to reduce the incidence or severity of diabetes after transplantation.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry Number: ACTRN12614000155695.

Nutrition in kidney transplantation

Organ transplantation has progressively established itself as the preferred therapy for many end-stage organ failures. However, many of these chronic diseases and their treatments can negatively affect nutritional status, leading to malnutrition and mineral deficiencies.Nutritional status is an important determinant of the clinical outcome of kidney transplant recipients.Malnutrition and obesity may represent a contraindication to transplantation in many cases and may increase the risk of postoperative complications after the transplantation. Nutritional support in kidney transplant recipients is challenging, since it must take into account the pre-transplant nutritional status, the side effects of immunosuppression, the function of the transplanted graft, the presence of infection, and the general status of the patient at the time of the transplantation.With these considerations in mind, we reviewed current literature on the impact of nutritional status on the outcome of kidney transplantation.

Cardiovascular risk factors contribute to disparities in graft outcomes in African American renal transplant recipients: a retrospective analysis

Data examining cardiovascular (CV) risk factors in renal transplant recipients (RTRs) and their contribution to the disparity in graft survival between African American (AA) patients and non-AAs is limited. A single-center, retrospective analysis of 1003 adult RTRs from January 1, 2000 to May 1, 2008 to inspect the impact of race on post-transplant CV events, treatment of CV risk factors and their independent influence on graft outcomes was performed. AAs experienced a higher incidence of late graft loss, with 1- and 5-year graft survival rates of 93% and 76% vs 95% and 84% in the non-AA group, respectively. AA patients had a higher prevalence of hypertension (HTN) and diabetes mellitus (DM) and demonstrated reduced control of DM post-transplant (AA 74% vs non-AA 82%, p = 0.053). Multivariate analysis for graft survival indicated acute rejection, delayed graft function (DGF) and incidence of CV events were significant risk factors for graft failure, while the use of beta-blockers, angiotensin-converting enzyme (ACE) inhibitors or angiotensin II receptor blockers (ARBs) and 3-hydroxy-3-methyl-glutaryl-coenzyme A (HMG-CoA) reductase inhibitors were protective. In conclusion, after controlling for CV risk factors and events, race did not have an independent effect on outcomes, suggesting CV risk factors and events contribute to this disparity. Clinical summary. AAs experienced a higher rate of graft failure and CV events; after adjusting for multiple immunological and CV risk factors, race no longer remained an independent risk factor for post-transplant CV events or graft failure; although disparities in post-transplant outcomes remain, race alone does not account for the disparity; the racial disparity is due to the higher incidence of DGF and acute rejection, as well as traditional CV risk factors, including HTN and DM.

Significant racial differences in the key factors associated with early graft loss in kidney transplant recipients

BACKGROUND

There is continued and significant debate regarding the salient etiologies associated with graft loss and racial disparities in kidney transplant recipients.

METHODS

This was a longitudinal cohort study of all adult kidney transplant recipients, comparing patients with early graft loss (<5 years) to those with graft longevity (surviving graft with at least 5 years of follow-up) across racial cohorts [African-American (AA) and non-AA] to discern risk factors.

RESULTS

524 patients were included, 55% AA, 151 with early graft loss (29%) and 373 with graft longevity (71%). Consistent within both races, early graft loss was significantly associated with disability income [adjusted odds ratio (AOR) 2.2, 95% CI 1.1-4.5], Kidney Donor Risk Index (AOR 3.2, 1.4-7.5), rehospitalization (AOR 2.1, 1.0-4.4) and acute rejection (AOR 4.4, 1.7-11.6). Unique risk factors in AAs included Medicare-only insurance (AOR 8.0, 2.3-28) and BK infection (AOR 5.6, 1.3-25). Unique protective factors in AAs included cardiovascular risk factor control: AAs with a mean systolic blood pressure <150 mm Hg had 80% lower risk of early graft loss (AOR 0.2, 0.1-0.7), while low-density lipoprotein <100 mg/dl (AOR 0.4, 0.2-0.8), triglycerides <150 mg/dl (AOR 0.4, 0.2-1.0) and hemoglobin A1C <7% (AOR 0.2, 0.1-0.6) were also protective against early graft loss in AA, but not in non-AA recipients.

CONCLUSIONS

AA recipients have a number of unique risk factors for early graft loss, suggesting that controlling cardiovascular comorbidities may be an important mechanism to reduce racial disparities in kidney transplantation.

Protein phosphatases in pancreatic islets

The prevalence of diabetes is increasing rapidly worldwide. A cardinal feature of most forms of diabetes is the lack of insulin-producing capability, due to the loss of insulin-producing β-cells, impaired glucose-sensitive insulin secretion from the β-cell, or a combination thereof, the reasons for which largely remain elusive. Reversible phosphorylation is an important and versatile mechanism for regulating the biological activity of many intracellular proteins, which, in turn, controls a variety of cellular functions. For instance, significant changes in protein kinase activities and in protein phosphorylation patterns occur subsequent to the stimulation of insulin release by glucose. Therefore, the molecular mechanisms regulating the phosphorylation of proteins involved in the insulin secretory process by the β-cell have been extensively investigated. However, far less is known about the role and regulation of protein dephosphorylation by various protein phosphatases. Herein, we review extant data implicating serine/threonine and tyrosine phosphatases in various aspects of healthy and diabetic islet biology, ranging from control of hormonal stimulus-secretion coupling to mitogenesis and apoptosis.

L-carnitine protects against cyclosporine-induced pancreatic and renal injury in rats

BACKGROUND

L-carnitine has protective effects against various types of injury. This study was designed to evaluate the beneficial effects of L-carnitine on pancreatic and renal injuries caused by cyclosporine (CsA).

METHODS

Rats maintained on a low sodium diet were given vehicle (olive oil, 1 mL/kg/d), CsA (15 mg/kg/d), L-carnitine (50 or 200 mg/kg/d), or a combination of CsA and L-carnitine for 4 weeks. The impact of L-carnitine on pancreatic injury was assessed by blood glucose levels, plasma insulin concentrations, and hemoglobulin A1c (HbA1c). In addition, the protective effects of L-carnitine against CsA-induced kidney injury were evaluated in terms of renal function, histopathology (inflammatory cell influx and tubulointerstitial fibrosis), oxidative stress (8-hydroxy 2'-deoxyguanosine, 8-OHdG), transforming growth factor-betal (TGF-β1), apoptosis (caspase-3), and autophagy (LC3-II).

RESULTS

CsA treatment caused diabetes, renal dysfunction, tubulointerstitial inflammation (ED-1-positive cells), and fibrosis, which were accompanied by an increase in 8-OHdG production and upregulation of TGF-β1, caspase-3, and LC3-II. Concomitant administration of L-carnitine increased plasma insulin concentrations, decreasing plasma glucose and HbA1c levels. In the kidney, L-carnitine induced dose-dependent improvement of renal function, inflammation, and fibrosis in parallel with suppression of the expression of TGF-β1 and 8-OHdG. Furthermore, the administration of L-carnitine at a high dose inhibited the expression of caspase-3 and LC3-II.

CONCLUSION

These findings suggest that L-carnitine has a protective effect against CsA-induced pancreatic and renal injuries.

Long-term progression of abnormal glucose tolerance and its relationship with the metabolic syndrome after kidney transplantation

BACKGROUND

Metabolic syndrome (MS) diagnosed early after kidney transplantation is a risk factor for developing new-onset diabetes. The aim of this study was to examine whether glucose intolerance and MS identified late after transplantation influence the progression of glycemic abnormalities in kidney transplant recipients.

METHODS

This is a retrospective study in which 76 non-diabetic renal transplant recipients underwent oral glucose tolerance tests (OGTT) in 2005 to 2006 (baseline) and then in 2011 to 2012 (follow-up). MS was identified using the International Diabetes Federation criteria and OGTT was interpreted according to the WHO classification.

RESULTS

At follow-up, median time from transplantation was 11.1 years (range 6.2-23.8). Mean 0-hour and 2-hour plasma glucose levels were significantly higher at follow-up compared to baseline (5.7 ± 0.7 vs. 5.9 ± 0.9 mmol/L, P=0.03 and 6.7 ± 1.9 vs. 7.5 ± 2.8 mmol/L, P=0.03, respectively). The proportion of patients with an abnormal OGTT increased from 42% at baseline to 61% at follow-up (P=0.007). Patients with MS were more likely to progress to a higher degree of glucose intolerance compared to those without MS (58% vs. 27%, P=0.01). On multivariable logistic regression adjusted for age and gender, MS was significantly associated with the progression of glucose intolerance (OR 3.5, CI 1.2-9.9, P=0.01), as was a fasting glucose greater than 5.6 mmol/L (OR 4.8, CI 1.6-14.8, P=0.006).

CONCLUSION

MS is a risk factor for the progression of glucose intolerance in renal transplant recipients in the late posttransplant period. Therefore, MS has to be considered in tandem with OGTT results to assess cardiovascular risk.

High impact of rejection therapy on the incidence of post-transplant diabetes mellitus after kidney transplantation

BACKGROUND

Although major risk factors for post-transplant diabetes (PTDM) after kidney transplantation have been identified, a systematic study on the impact of rejection and rejection therapy is missing so far.

METHODS

Five hundred and twenty-six kidney transplant recipients transplanted in the years 2000-2007 were included. PTDM was defined according to WHO guidelines, and patients' data were compared with special attention to protocol and for cause biopsies and rejection therapies. Survival analyses were made for graft loss and patient death.

RESULTS

16.7% of all patients developed PTDM. Among common risk factors as higher age, body mass index (BMI), and others, the factor "acute cellular rejections" was comparably most relevant with a hazard ratio of 3.7. Consequently, antirejective treatment with steroid pulses and conversion to tacrolimus was the factor with the highest relative risk for the onset of PTDM (RR 3.5). PTDM itself had no impact on graft or patients' survival, but the decreased graft survival in PTDM patients was dominantly influenced by the higher frequency of acute cellular rejections, and patients' survival was reduced due to higher age.

CONCLUSION

Based upon a higher rate of acute rejections (AR), the necessity of frequent antirejective treatments was more relevant for the induction of PTDM than age or BMI.

Association between 276G/T adiponectin gene polymorphism and new-onset diabetes after kidney transplantation

BACKGROUND

New-onset diabetes after transplantation (NODAT) is a well-recognized complication of kidney transplantation and is associated with poor outcomes. Both adiponectin and chemokine ligand 5 (CCL5) proteins are related to glucose metabolism and genetic variations in their genes can lead to development of NODAT. The aim of this study was to investigate the association of adiponectin and CCL5 genes polymorphisms with NODAT in a population of Caucasian kidney transplant recipients.

METHODS

Two hundred seventy Caucasian kidney transplant recipients (83 with NODAT and 187 without NODAT) were included in a nested case-control study. Patients with pretransplantation diabetes mellitus and multiorgan transplantation were excluded. NODAT diagnosis was determined by American Diabetes Association criteria. Subjects were genotyped for 276G/T adiponectin gene polymorphism (rs1501299) and rs2280789 and rs3817655 CCL5 gene polymorphisms by real-time polymerase chain reaction.

RESULTS

The TT genotype of 276G/T adiponectin gene polymorphism was significantly more frequent in NODAT than non-NODAT patients compared with GG/GT genotypes (recessive model; P=0.031). TT genotype was identified as an independent risk factor for NODAT in Caucasian kidney transplant recipients after adjusting for age at transplantation, pretransplantation body mass index, and use of tacrolimus (TT vs. GG/GT, hazard ratio=1.88, 95% confidence interval=1.03-3.45, P=0.041). There were no differences in genotype distribution and allele frequency of rs2280789 and rs3817655 CCL5 gene polymorphisms between NODAT and non-NODAT groups.

CONCLUSIONS

The 276G/T adiponectin gene polymorphism is associated with NODAT in Caucasian kidney transplant recipients.

The 5-time point oral glucose tolerance test as a predictor of new-onset diabetes after kidney transplantation

AIMS

To evaluate the predictive power of the 5-time point oral glucose tolerance test (OGTT) for new-onset diabetes after kidney transplantation (NODAT).

METHODS

We performed a retrospective study of 145 patients without diabetes who received kidney transplantations at our hospital. The 5-time point OGTT was performed before transplantation. The area under a receiver-operating characteristic curve (aROC) was used for evaluating the predictive power of 5-time point OGTT values.

RESULTS

Seventeen patients developed NODAT within 1 year after transplantation. All postload plasma glucose (PPG) levels were higher in patients who developed NODAT than in those who did not; fasting plasma glucose levels were not different. The aROC for the area under the glucose concentration-time curve was significantly greater than that for fasting plasma glucose. Univariate and multivariate analyses showed that each PPG level was an independent risk factor for NODAT. Furthermore, patients with normal glucose tolerance (NGT) or impaired glucose tolerance (IGT) could be stratified with a 1-h plasma glucose (1h-PG) cut-off point of 8.4 mmol/L. The incidences of NODAT were 23.5%, 16.7%, 9.1%, and 0% for patients with IGT+1h-PG ≥8.4 mmol/L,IGT+1h-PG <8.4 mmol/L, NGT+1h-PG ≥ 8.4 mmol/L, and NGT+1h-PG<8.4 mmol/L, respectively.

CONCLUSIONS

The area under the glucose concentration-time curve and each PPG concentration during the 5-time point OGTT are strong predictors of NODAT. A 1h-PG cut-off point of 8.4 mmol/L plus NGT/IGT can be used to identify patients at intermediate and high risk of developing NODAT.

Pretransplant HbA1c Is a Useful Predictor for the Development of New-Onset Diabetes in Renal Transplant Recipients Receiving No or Low-Dose Erythropoietin

Aims. To evaluate the predictive power of pretransplant HbA1c for new-onset diabetes after transplantation (NODAT) in kidney transplant candidates, who had several predispositions for fluctuated HbA1c levels. Methods. We performed a retrospective study of 119 patients without diabetes who received kidney transplantation between March 2000 and January 2012. Univariate and multivariate logistic regression analyses were used to investigate the association of several parameters with NODAT. Predictive discrimination of HbA1c was assessed using a receiver-operating characteristic curve. Results. Seventeen patients (14.3%) developed NODAT within 1 year of transplantation. Univariate logistic regression analysis revealed that recipient age, gender, and HbA1c were predictors of NODAT. In the multivariate analysis, the association between pretransplant HbA1c and NODAT development did not reach statistical significance (P = 0.07). To avoid the strong influence of high-dose erythropoietin on HbA1c levels, we performed subgroup analyses on 85 patients receiving no or low-dose (≤6000 IU/week) erythropoietin. HbA1c was again an independent predictor for NODAT. Receiver-operating characteristic analysis revealed a cut-off value of 5.2% with an optimal sensitivity of 64% and specificity of 78% for predicting NODAT. Conclusions. Our results reveal that the pretransplant HbA1c level is a useful predictor for NODAT in patients receiving no or low-dose erythropoietin.

Body fat percentage as a marker of new-onset diabetes mellitus after kidney transplantation

BACKGROUND

New-onset diabetes after transplantation (NODAT) is a serious metabolic complication that can follow kidney transplantation. Several risk factors, including obesity, have been related to NODAT development. Obesity is defined as an excessive accumulation of body fat, and body fat percentage (BF%) has been commonly measured by different techniques, including bioelectrical impedance analysis. However, the correlation between an increase in BF% and the development of NODAT during outpatient follow-up has not yet been explored. We aimed to elucidate the association between BF% changes and the development of NODAT.

METHODS

We performed a retrospective study involving 45 patients without diabetes who underwent kidney transplantation in our hospital between March 2008 and December 2010. We compared the BF% and demographic variables of patients who did and did not develop NODAT during follow-up.

RESULTS

Four patients (8.9%) developed NODAT during a mean follow-up period of 30.3 months. The post-transplantation increase in BF% was much higher in NODAT+ patients than the NODAT- patients. Univariate analysis indicated that the rate of increase in BF% was a risk factor for NODAT (hazard ratio [HR], 1.08 [1.02-1.18]; P < .005).

CONCLUSIONS

A large increase in BF% may be a risk factor for NODAT. These findings underline the importance of routine BF% measurements in medical practice.

Symptom experienced three years after liver transplantation under immunosuppression in adults

Background & Aims

Immunosuppression-related symptom experience has not been covered thoroughly in long-term liver transplant recipients. The aim of this study was to assess the symptom experience of immunosuppressive therapy three years after liver transplantation and to correlate it with adherence to medications and sociodemographic or disease-related characteristics.

Methods

This study included 94 liver transplant recipients who had survived for more than 3 years after liver transplantation. Symptom experience was measured by the 59-Item Modified Transplant Symptom Occurrence and Symptom Distress Scale (MTSOSD-59R) at the outpatient visits. Adherence to immunosuppressive drugs was assessed using the Basel Assessment of Adherence with Immunosuppressive Medication Scale (BAASIS).

Results

Itching, concentration or memory problems, and fatigue were the three most frequent or most distressing symptoms. Factors significantly associated with a higher level of symptom frequency and distress were 3- to 5-year time cohort (i.e., time post-transplantation), and younger age. At the item level, concentration or memory problems were the most frequent and distressing symptoms in the 3- to 5-year time cohort. Itching was the most frequent and distressing symptom in the 5- to 9-year time cohort. Finally, relationship was found between symptom experience and nonadherence to immunosuppressive drugs.

Conclusions

Symptoms related to physical complaints or impairments were more often perceived and more distressing for liver transplant recipients 3 years after transplantation. Furthermore, the 3- to 5-year time cohort and younger age were associated with a higher degree of perceived symptom occurrence and symptom distress. Finally, recipients who perceived higher levels of symptom frequency and symptom distress reported higher levels of nonadherence.

New onset of diabetes after transplantation - an overview of epidemiology, mechanism of development and diagnosis

New onset of diabetes after transplantation (NODAT) is a serious and common complication following solid organ transplantation. NODAT has been reported to occur in 2% to 53% of renal transplant recipients. Several risk factors are associated with NODAT, however the mechanisms underlying were unclear. Renal transplant recipients who develop NODAT are reported to be at increased risk of infections, cardiovascular events, graft loss and patient loss. It has been reported that the incidence of NODAT is high in the early transplant period due to the exposure to the high doses of corticosteroids, calcineurin inhibitors and the physical inactivity during that period. In addition to these risk factors the traditional risk factors also play a major role in developing NODAT. Early detection is crucial in the management and control of NODAT which can be achieved through pretransplant screening there by identifying high risk patients and implementing the measures to reduce the development of NODAT. In the present article we reviewed the literature on the epidemiology, risk factors, mechanisms involved and the diagnostic criteria in the development of NODAT. Development of diagnostic tools for the assessment of β-cell function and determination of the role of glycemic control would include future area of research.

Effects of cyclosporine and sirolimus on insulin-stimulated glucose transport and glucose tolerance in a rat model

Cyclosporine (CsA) and sirolimus (SRL) have been associated with undesirable side effects, including posttransplantation diabetes and hyperlipidemia, but the molecular mechanisms underlying these effects remain to be elucidated. Animal studies focusing on clinically relevant doses are advised. This study sought to compare the metabolic effects on isolated rat adipocytes treated with either CsA or SRL ex vivo and after long-term in vivo treatment in Wistar rats. We assessed the ex vivo effects of CsA (0.5-30 μmol/L) and SRL (1-250 μmol/L) on insulin-stimulated (14)C-glucose uptake in epididymal adipocytes (n = 6-9). In parallel, rats (n = 12) were treated with either vehicle, CsA (5 mg/kg/d) or SRL (1 mg/kg/d) for either 3 or 9 weeks. At the end of the treatment, glucose tolerance test (GTT) and insulin-stimulated (14)C-glucose uptake as well as biochemical parameters were analyzed. A significant reduction in the insulin-stimulated glucose uptake over basal was observed among isolated adipocytes, whether exposed ex vivo or in vivo to CsA or SRL treatment. Furthermore, the SRL group showed significantly lighter fat pads and smaller adipocytes at 3 weeks with a smaller gain in body weight throughout the study compared with either the vehicle or CsA cohorts. Glucose intolerance was observed after a GTT, at the end of the treatment with either drug. Additionally, at 9 weeks serum triglycerides were increased by CsA compared with vehicle or SRL treatment. Interestingly, although SRL-treated animals presented higher fed and fasted insulin levels compared with either group, suggesting insulin resistance, the CsA group presented lower fed and fasted insulin values, suggesting a defect in insulin secretion at 9 weeks. These results suggested that either ex vivo treatment of fat cells or in vivo treatment of rats with CsA or SRL impaired insulin-stimulated glucose uptake by adipocytes. Both drugs caused glucose intolerance, which altogether could be responsible for the development of posttransplantation diabetes.

New-onset diabetes after transplantation: assessment of risk factors and clinical outcomes

BACKGROUND

New-onset diabetes after transplantation (NODAT) is a serious complicatin of kidney transplantation (KT) with adverse impacts on graft and patient survivals. This study aims assess potential risk factors for development of NODAT and compare clinical outcomes of KT recipients with versus without NODAT.

METHODS

We retrospectively evaluated 648 patients who underwent KT between 2005 and 2009. From the 83 (12.8%) subjects who developed NODAT, we selected 47 for comparison with controls free of diabetes.

RESULTS

The diagnosis of NODAT was made at 4.3 ± 8.5 months after transplantation in 47 patients, including 76.6% males, with an overall mean age of 54.5 ± 10.8 years. Patients with NODAT presented higher pretransplantation fasting plasma glucose levels (P < .001) as well as cyclosporine and tacrolimus trough levels (P = .003 and P < .001, respectively). On multivariate analysis, higher pretransplantation fasting plasma glucose and higher tacrolimus, but not cyclosporine concentrations were independent predictors of NODAT. No differences were found for other potential risk factors. Upon follow-up at 6, 12, 24, 36, 48, and 60 months, renal function (estimated Glomerular Filtration Rate using Modification of Diet in Renal Disease), 24 hour proteinuria and proportions of patients with hypertension were similar between groups. Patients with NODAT showed comparable numbers of hospitalizations and infections, as well as acute rejection episodes and acute cardiovascular events as their counterparts. Event-free survival (loss of graft function/death with functioning graft) was similar between the groups (P = .418; K-M).

DISCUSSION

In our population, higher pretransplantation fasting plasma glucose levels and higher tacrolimus concentrations were independent predictors of NODAT. During a mean follow-up of 3 years, NODAT was not associated with worse clinical outcomes.

Validation of a pretransplant risk score for new-onset diabetes after kidney transplantation

OBJECTIVE

Identification of patients at high risk for new-onset diabetes after kidney transplantation (NODAT) will facilitate clinical trials for its prevention.

RESEARCH DESIGN AND METHODS

We previously described a pretransplant predictive risk model for NODAT using seven pretransplant variables (age, planned use of maintenance corticosteroids, prescription for gout medicine, BMI, fasting glucose, fasting triglycerides, and family history of diabetes). We have now applied the initial model to a cohort of 474 transplant recipients from another center for validation. We performed two analyses in the validation cohort. The first was a standard model with variables derived from the original study. The second was a summary score model, in which the sum of dichotomized variables (all the variables dichotomized at clinically relevant cut points) was used to categorize, individuals into low (0-1), intermediate (2, 3), or high (4-7) risk groups. We also conducted a combined database analyses, merging the initial and validation cohorts (n=792) to obtain better estimates for a prediction equation.

RESULTS

Although the frequency of several risk factors differed significantly between the two cohorts, the models performed similarly in each cohort. Using the summary score model, incidences of NODAT in low-risk, medium-risk, and high-risk groups in the initial cohort were 12, 29, and 56%, and in the validation cohort incidences were 11, 29, and 51%.

CONCLUSIONS

A pretransplant model for NODAT, including many type 2 diabetes risk factors, predicted NODAT in the validation cohort.