Cost-Effectiveness and Budget Impact Analysis of Implementing a 'Soft Opt-Out' System for Kidney Donation in Australia.

Introduction: There is a severe shortage of donor organs globally. There is growing interest in understanding how a 'soft opt-out' organ donation system could help bridge the supply and demand gap for donor organs. This research aims to estimate the cost-effectiveness and budget impact of implementing a 'soft opt-out' organ donation system for kidney donation.

Development and validation of a risk index to predict kidney graft survival: the kidney transplant risk index.

Background: Kidney graft failure risk prediction models assist evidence-based medical decision-making in clinical practice. Our objective was to develop and validate statistical and machine learning predictive models to predict death-censored graft failure following deceased donor kidney transplant, using time-to-event (survival) data in a large national dataset from Australia.

Methods: Data included donor and recipient characteristics (n = 98) of 7,365 deceased donor transplants from January 1st, 2007 to December 31st, 2017 conducted in Australia.

Time-to-event analysis in economic evaluations: a comparison of modelling methods to assess the cost-effectiveness of transplanting a marginal quality kidney.

Background: Economic-evaluations using decision analytic models such as Markov-models (MM), and discrete-event-simulations (DES) are high value adds in allocating resources. The choice of modelling method is critical because an inappropriate model yields results that could lead to flawed decision making. The aim of this study was to compare cost-effectiveness when MM and DES were used to model results of transplanting a lower-quality kidney versus remaining waitlisted for a kidney.

Donor Kidney Quality and Transplant Outcome: An Economic Evaluation of Contemporary Practice.

Objectives: The study had two main aims. First, we assessed the cost-effectiveness of transplanting deceased donor kidneys of differing quality levels based on the Kidney Donor Profile Index (KDPI). Second, we assessed the cost-effectiveness of remaining on the waiting list until a high-quality kidney becomes available compared to transplanting a lower-quality kidney.

Deceased donor kidney allocation: an economic evaluation of contemporary longevity matching practices.

Background: Matching survival of a donor kidney with that of the recipient (longevity matching), is used in some kidney allocation systems to maximize graft-life years. It is not part of the allocation algorithm for Australia. Given the growing evidence of survival benefit due to longevity matching based allocation algorithms, development of a similar kidney allocation system for Australia is currently underway.

Frequency and Consequences of Acute Kidney Injury in Patients With CKD: A Registry Study in Queensland Australia.

Background: Acute kidney injury (AKI) contributes to and complicates chronic kidney disease (CKD). We describe AKI documented in hospital encounters in patients with CKD from the CKD Queensland registry.

Study Design: A retrospective cohort study during 2011 to 2016.

Cost-utility analysis in chronic kidney disease patients undergoing kidney transplant; what pays? A systematic review.

Background: Health systems are under pressure to deliver more effective care without expansion of resources. This is particularly pertinent to diseases like chronic kidney disease (CKD) that are exacting substantial financial burden to many health systems. The aim of this study is to systematically review the Cost Utility Analysis (CUA) evidence generated across interventions for CKD patients undergoing kidney transplant (KT).

Using machine learning techniques to develop risk prediction models to predict graft failure following kidney transplantation: protocol for a retrospective cohort study.

A mechanism to predict graft failure before the actual kidney transplantation occurs is crucial to clinical management of chronic kidney disease patients.  Several kidney graft outcome prediction models, developed using machine learning methods, are available in the literature.  However, most of those models used small datasets and none of the machine learning-based prediction models available in the medical literature modelled time-to-event (survival) information, but instead used the binary outcome of failure or not.

Machine learning in predicting graft failure following kidney transplantation: A systematic review of published predictive models.

Introduction: Machine learning has been increasingly used to develop predictive models to diagnose different disease conditions. The heterogeneity of the kidney transplant population makes predicting graft outcomes extremely challenging. Several kidney graft outcome prediction models have been developed using machine learning, and are available in the literature.

The economic burden of posttransplant events in renal transplant recipients in Europe.

Background: This study aims to describe the healthcare resource utilization and costs of managing renal posttransplant patients over 3 years posttransplant in nine European countries and to stratify them by year 1 glomerular filtration rate (GFR).

Methods: A retrospective observational and database analysis of renal transplant patients and a physician questionnaire study were conducted to collect recipient and donor characteristics, posttransplant events, and healthcare resource utilization related to these posttransplant events. In each country, local published costs were applied to the resource use identified.

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).

Complications associated with new-onset diabetes after kidney transplantation.

New-onset diabetes mellitus after kidney transplantation (NODAT) is widely acknowledged to be associated with increased morbidity and mortality, as well as poor quality of life. Clear evidence links the occurrence of NODAT to accelerated progression of some macrovascular and/or microvascular complications. However, the evidence that some complications commonly attributed to diabetes mellitus occur in the context of transplantation lacks robustness.

Update on dialysis economics in the UK.

The burgeoning population of patients requiring renal replacement therapy contributes a disproportionate strain on National Health Service resources. Although renal transplantation is the preferred treatment modality for patients with established renal failure, achieving both clinical and financial advantages, limitations to organ donation and clinical comorbidities will leave a significant proportion of patients with established renal failure requiring expensive dialysis therapy in the form of either hemodialysis or peritoneal dialysis. An understanding of dialysis economics is essential for both healthcare providers and clinical leaders to establish clinically efficient and cost-effective treatment modalities that maximize service provision.

Risk factors for new-onset diabetes after kidney transplantation.

New-onset diabetes after transplantation, a common complication following kidney transplantation, is associated with adverse patient and graft outcomes. Our understanding of the risk factors associated with this metabolic disorder is improving and both transplantation-specific and nonspecific factors are clearly involved. Knowledge of these risk factors is important so that clinicians can implement pre-emptive risk stratification strategies and to guide therapeutic, risk-attenuation approaches in patients who develop transplant-associated hyperglycemia.

Impending hyperglycemia in normoglycemic renal transplant recipients--an experimental predictive surrogate.

Background: beta-Cell dysfunction and insulin resistance combine to cause new-onset diabetes after transplantation. The product of these two parameters, quantitatively measured as disposition index (DI), is a mathematical constant in normoglycemia and declines in advance of impending hyperglycemia. The aim of this study was to derive a simple surrogate for the DI to expose predysglycemic abnormalities posttransplantation.

Comparison of rival metabolic syndrome classifications against pathophysiological markers in renal transplant recipients.

Background: Metabolic syndrome posttransplantation is associated with adverse outcomes. Diagnostic controversy exists, with adult treatment panel (ATP) III and International Diabetes Federation (IDF) classifications differing in prerequisite requirement of central obesity. In addition, correlation between classifications and putative pathophysiological mechanisms posttransplantation are lacking and may be obscured by immunosuppressants.

Insulin resistance indexes in renal transplant recipients maintained on tacrolimus immunosuppression.

Background: Insulin resistance is common posttransplantation and contributes to both new onset diabetes after transplantation and the metabolic syndrome. Insulin resistance indexes have never been validated in transplant recipients on tacrolimus compared with cyclosporine, although it is more diabetogenic. We aimed to assess these indexes in renal transplant recipients on tacrolimus as primary immunosuppressant.

Insulin hyposecretion in nondiabetic, tacrolimus-treated renal transplant recipients more than 6 months posttransplantation.

Background: New-onset diabetes after transplantation is an important complication of renal transplantation. Few studies have examined nondiabetic renal transplant recipients for occult defects in insulin sensitivity or secretion. The aims of this study were to identify abnormalities of glucose metabolism in nondiabetic, tacrolimus-treated renal transplant recipients more than 6 months posttransplantation and characterize determinants.

Influence of lifestyle modification in renal transplant recipients with postprandial hyperglycemia.

Introduction: Lifestyle modification is recommended as first-line therapy to manage new-onset diabetes after transplantation (NODAT) and impaired glucose tolerance (IGT). No data currently demonstrate the efficacy of this approach specifically for transplant recipients. This study aimed to assess the benefit of intensive lifestyle modification in this high-risk group and to contrast this with the natural evolution of glucose metabolism after transplantation.

The cost of renal dialysis in a UK setting--a multicentre study.

Background: The UK National Health Service (NHS) will fund renal services using Payment by Results (PbR), from 2009. Central to the success of PbR will be the creation of tariffs that reflect the true cost of medical services. We have therefore estimated the cost of different dialysis modalities in the Cardiff and Vale NHS Trust and six other hospitals in the UK.

The use of oral glucose tolerance tests to risk stratify for new-onset diabetes after transplantation: An underdiagnosed phenomenon.

Background: Fasting glucose measurements are insensitive at detecting new-onset diabetes after transplantation (NODAT) and ignore the diagnosis of impaired glucose tolerance (IGT). Both NODAT and IGT confer a higher risk of developing cardiovascular disease. IGT is also a risk factor for NODAT.

Evaluation of the cost effectiveness of sirolimus versus tacrolimus for immunosuppression following renal transplantation in the UK.

Introduction: Immunosuppressive therapy is required to prevent graft rejection. Calcineurin inhibitors such as tacrolimus are paradoxically toxic to the kidney, whereas sirolimus (rapamycin; Rapamune) is not generally associated with the nephrotoxicity of CNIs. The purpose of this study was to evaluate the relative cost utility of sirolimus versus tacrolimus for the primary prevention of graft rejection in renal transplant recipients in the UK.