Surveillance for donor-derived infections in Australia.

BACKGROUND: Systems for quality and safety assurance in organ donation and transplantation are vital, especially those that seek to minimize donor disease transmission. Australia has developed a national vigilance and surveillance system to identify, review, and analyze actual and potential donor-derived infections and other disease transmissions. METHODS: The system involves notification of incidents to the Australian Organ and Tissue Authority for review by a Vigilance and Surveillance Expert Advisory Committee (VSEAC). The VSEAC grades incidents, O makes recommendations, and issues communications both publicly and to the clinical donation and transplant sector. RESULTS: Annual notifications have increased since the inception of the system in 2012 until 2022. The vast majority relate to procedural aspects including donor assessment, information/data issues, and the recovery, offer, allocation, preservation and transportation of organs. Possible donor-derived disease accounted for 19% of all notifications, and those related to possible donor-derived infection only 12%. The VSEAC, as a result of reviewing these incidents, has made recommendations resulting in revisions to donor screening, organ allocation, packaging and transportation. The review of incidents has led to changes in clinical guidance for increased viral risk donor assessment, testing, and ensuing organ utilization and recipient surveillance. Guidance has also been reviewed for other infectious risks including strongyloides, human T-lymphotropic virus, and HEV. CONCLUSION: The Australian vigilance and surveillance system has enabled national retrospective reporting and evaluation of serious adverse events or reactions to identify trends and inform processes and guidelines, therefore improving the safety of donation and transplantation.

Variations in Risk of Cancer and Death From Cancer According to Kidney Allograft Function, Graft Loss, and Return to Dialysis.

BACKGROUND: Cancer incidence and mortality may change with varying kidney allograft function and after graft loss. We aimed to quantify cancer incidence and mortality during periods with a functioning graft and after graft loss. METHODS: We included all adult Australians aged 20 and above who commenced kidney replacement therapy between 1982 and 2014 using data from Australia and New Zealand Dialysis and Transplant Registry. We calculated the standardized incidence ratios and standardized mortality ratios (standardized against the Australian general population) for dialysis patients and transplant recipients during periods with a functioning graft and after graft loss. RESULTS: A total of 44 765 dialysis patients without transplants, 13 443 with first kidney transplants, 2951 after first graft loss, 1010 with second transplants, and 279 after second graft loss were followed for 274 660 patient-years. Cancer incidence and mortality (per 100 000 patient-years) were 1564 and 760 in dialysis patients, 1564 and 689 in recipients of first transplants, 1188 and 390 after first graft loss, 1525 and 693 after second transplants, and 1645 and 779 after second graft loss. Cancer standardized incidence ratios and standardized mortality ratios (95% confidence intervals) were 1.15 (1.11-1.20) and 1.29 (1.21-1.36) for dialysis patients, 2.03 (1.94-2.13) and 2.50 (2.33-2.69) for recipients following their first transplant, 1.55 (1.29-1.85) and 1.40 (1.00-1.90) after first graft loss, 2.18 (1.79-2.63) and 3.00 (2.23-3.96) for second transplants, 2.59 (1.56-4.04) and 3.82 (1.75-7.25) after second graft loss. CONCLUSIONS: In kidney transplant recipients, cancer incidence and mortality are highest during periods with a functioning graft and remained higher than in the general population even after graft loss.

Nonutilization of Kidneys From Donors After Circulatory Determinant of Death.

Background: The expansion of donation after circulatory determination of death (DCDD) programs and unmet demands for kidney transplantation indicate that there is a need to improve the efficiency and utilization of these organs. Methods: We studied all DCDD donors retrieved for kidney transplantation in Australia between 2014 and 2019 and determined the factors associated with nonutilization using least absolute shrinkage and selection operator and random forest models. Self-organizing maps were used to group these donors into clusters with similar characteristics and features associated with nonutilization were defined. Results: Of the 762 DCDD donors, 116 (15%) were not utilized for kidney transplantation. Of the 9 clusters derived from self-organizing map, 2 had the highest proportions of nonutilized kidneys. Factors for nonutilization (adjusted odds ratio [95% confidence interval], per SD increase) were duration from withdrawal of cardiorespiratory support till death (1.38 [1.16-1.64]), admission and terminal serum creatinine (1.43 [1.13-1.85]) and (1.41 [1.16-1.73]). Donor kidney function and duration of warm ischemia were the main factors for clinical decisions taken not to use kidneys from DCDD donors. Conclusions: Donor terminal kidney function and the duration of warm ischemia are the key factors for nonutilization of DCDD kidneys. Strategies to reduce the duration of warm ischemia and improve post-transplant recipient kidney function may reduce rates of nonutilization.

Factors Associated With Advanced Colorectal Neoplasia in Patients With CKD.

RATIONALE & OBJECTIVE: The risk of developing colorectal cancer in patients with chronic kidney disease (CKD) is twice that of the general population, but the factors associated with colorectal cancer are poorly understood. The aim of this study was to identify factors associated with advanced colorectal neoplasia in patients with CKD. STUDY DESIGN: Prospective cohort study. SETTING & PARTICIPANTS: Patients with CKD stages 3-5, including those treated with maintenance dialysis or transplantation across 11 sites in Australia, New Zealand, Canada, and Spain, were screened for colorectal neoplasia using a fecal immunochemical test (FIT) as part of the Detecting Bowel Cancer in CKD (DETECT) Study. EXPOSURE: Baseline characteristics for patients at the time of study enrollment were ascertained, including duration of CKD, comorbidities, and medications. OUTCOME: Advanced colorectal neoplasia was identified through a 2-step verification process with colonoscopy following positive FIT and 2-year clinical follow-up for all patients. ANALYTICAL APPROACH: Potential factors associated with advanced colorectal neoplasia were explored using multivariable logistic regression. Sensitivity analyses were performed using grouped LASSO (least absolute shrinkage and selection operator) logistic regression. RESULTS: Among 1,706 patients who received FIT-based screening-791 with CKD stages 3-5 not receiving kidney replacement therapy (KRT), 418 receiving dialysis, and 497 patients with a functioning kidney transplant-117 patients (6.9%) were detected to have advanced colorectal neoplasia (54 with CKD stages 3-5 without KRT, 34 receiving dialysis, and 29 transplant recipients), including 9 colorectal cancers. The factors found to be associated with advanced colorectal neoplasia included older age (OR per year older, 1.05 [95% CI, 1.03-1.07], P<0.001), male sex (OR, 2.27 [95% CI, 1.45-3.54], P<0.001), azathioprine use (OR, 2.99 [95% CI, 1.40-6.37], P=0.005), and erythropoiesis-stimulating agent use (OR, 1.92 [95% CI, 1.22-3.03], P=0.005). Grouped LASSO logistic regression revealed similar associations between these factors and advanced colorectal neoplasia. LIMITATIONS: Unmeasured confounding factors. CONCLUSIONS: Older age, male sex, erythropoiesis-stimulating agents, and azathioprine were found to be significantly associated with advanced colorectal neoplasia in patients with CKD.

The IDEAL trial in Australia and New Zealand: clinical and economic impact.

BACKGROUND: The impact of research findings on clinical practice usually remains uncertain and unmeasured. To address this problem, we examined the long-term clinical and economic impact of the Initiating Dialysis Early and Late (IDEAL) trial using data from the Australia and New Zealand Dialysis and Transplant Registry. METHODS: We performed a registry-based study including all incident adult dialysis patients in Australia and New Zealand from July 2000 to June 2018. A piecewise linear regression model was used to examine differences in mean estimated glomerular filtration rate (eGFR) at dialysis commencement for the years prior to (2000-2010) and following (2010-2018) publication of the IDEAL trial results. The return on investment (ROI) was calculated using the total cost of performing the IDEAL trial and the cost or savings accruing in Australia and New Zealand from changes in dialysis initiation practice. RESULTS: From July 2000 to June 2010, mean eGFR at dialysis commencement increased at a rate of 0.21 mL/min/1.73 m2/year [95% confidence interval (CI) 0.19-0.23]. After the IDEAL trial results were published, mean eGFR at dialysis commencement did not show any temporal change [-0.01 mL/min/1.73 m2/year (95% CI -0.03-0.01)]. The ROI of the IDEAL trial was AU$35.70/AU$1 spent, an estimated savings to the Australian and New Zealand health systems of up to AU$84 million/year. CONCLUSIONS: The previous trend to higher eGFR at dialysis commencement changed following publication of the IDEAL trial results to a steady eGFR that has continued for a decade, avoiding unnecessary dialysis treatments and accruing savings to the Australian and New Zealand health systems.

Integrative Analysis of Prognostic Biomarkers for Acute Rejection in Kidney Transplant Recipients.

BACKGROUND: Noninvasive biomarkers may predict adverse events such as acute rejection after kidney transplantation and may be preferable to existing methods because of superior accuracy and convenience. It is uncertain how these biomarkers, often derived from a single study, perform across different cohorts of recipients. METHODS: Using a cross-validation framework that evaluates the performance of biomarkers, the aim of this study was to devise an integrated gene signature set that predicts acute rejection in kidney transplant recipients. Inclusion criteria were publicly available datasets of gene signatures that reported acute rejection episodes after kidney transplantation. We tested the predictive probability for acute rejection using gene signatures within individual datasets and validated the set using other datasets. Eight eligible studies of 1454 participants, with a total of 512 acute rejections episodes were included. RESULTS: All sets of gene signatures had good positive and negative predictive values (79%-96%) for acute rejection within their own cohorts, but the predictability reduced to <50% when tested in other independent datasets. By integrating signature sets with high specificity scores across all studies, a set of 150 genes (included CXCL6, CXCL11, OLFM4, and PSG9) which are known to be associated with immune responses, had reasonable predictive values (varied between 69% and 90%). CONCLUSIONS: A set of gene signatures for acute rejection derived from a specific cohort of kidney transplant recipients do not appear to provide adequate prediction in an independent cohort of transplant recipients. However, the integration of gene signature sets with high specificity scores may improve the prediction performance of these markers.

Health-Related Quality of Life in People Across the Spectrum of CKD.

INTRODUCTION: People with chronic kidney disease (CKD) experience reduced quality of life (QoL) because of the high symptom and treatment burden. Limited data exist on the factors associated with overall and domain-specific QoL across all CKD stages. METHODS: Using data from a prospective, multinational study (Australia, New Zealand, Canada, and Spain) in 1696 participants with CKD, we measured overall and domain-specific QoL (pain, self-care, activity, mobility, anxiety/depression) using the EuroQoL, 5 dimension, 3 level. Multivariable linear regression and logistic modeling were used to determine factors associated with overall and domain-specific QoL. RESULTS: QoL for patients with CKD stages 3 to 5 (n = 787; mean, 0.81; SD, 0.20) was higher than in patients on dialysis (n = 415; mean, 0.76; SD, 0.24) but lower than in kidney transplant recipients (n = 494; mean, 0.84; SD, 0.21). Factors associated with reduced overall QoL (ß [95% confidence intervals]) included being on dialysis (compared with CKD stages 3-5: -0.06 [-0.08 to -0.03]), female sex (-0.03 [-0.05 to -0.006]), lower educational attainment (- 0.04 [-0.06 to -0.02), lacking a partner (-0.04 [-0.06 to -0.02]), having diabetes (-0.05 [-0.07 to -0.02]), history of stroke (-0.09 [-0.13 to -0.05]), cardiovascular disease (-0.06 [-0.08 to -0.03]), and cancer (-0.03 [-0.06 to -0.009]). Pain (43%) and anxiety/depression (30%) were the most commonly affected domains, with dialysis patients reporting decrements in all 5 domains. Predictors for domain-specific QoL included being on dialysis, presence of comorbidities, lower education, female sex, and lack of a partner. CONCLUSIONS: Being on dialysis, women with CKD, those with multiple comorbidities, lack of a partner, and lower educational attainment were associated with lower QoL across all stages of CKD.

Perioperative antibiotics for preventing post-surgical site infections in solid organ transplant recipients.

BACKGROUND: Solid organ transplant recipients are at high risk for infections due to the complexity of surgical procedures combined with the impact of immunosuppression. No consensus exists on the role of antibiotics for surgical site infections in solid organ transplant recipients. OBJECTIVES: To assess the benefits and harms of prophylactic antimicrobial agents for preventing surgical site infections in solid organ transplant recipients. SEARCH METHODS: The Cochrane Kidney and Transplant Register of Studies was searched up to 21 April 2020 through contact with the Information Specialist using search terms relevant to this review. Studies in the Register are identified through searches of CENTRAL, MEDLINE, and EMBASE, conference proceedings, the International Clinical Trials Register (ICTRP) Search Portal, and ClinicalTrials.gov. SELECTION CRITERIA: All randomised controlled trials (RCTs) and quasi-RCTs in any language assessing prophylactic antibiotics in preventing surgical site infections in solid organ transplant recipients at any time point after transplantation. DATA COLLECTION AND ANALYSIS: Two authors independently determined study eligibility, assessed quality, and extracted data. Primary outcomes were surgical site infections and antimicrobial resistance. Other outcomes included urinary tract infections, pneumonias and septicaemia, death (any cause), graft loss, graft rejection, graft function, adverse reactions to antimicrobial agents, and outcomes identified by the Standardised Outcomes of Nephrology Group (SONG), specifically graft health, cardiovascular disease, cancer and life participation. Summary effect estimates were obtained using a random-effects model and results were expressed as risk ratios (RR) and 95% confidence intervals (CI). The quality of the evidence was assessed using the risk of bias and the GRADE approach. MAIN RESULTS: We identified eight eligible studies (718 randomised participants). Overall, five studies (248 randomised participants) compared antibiotics versus no antibiotics, and three studies (470 randomised participants) compared extended duration versus short duration antibiotics. Risk of bias was assessed as high for performance bias (eight studies), detection bias (eight studies) and attrition bias (two studies). It is uncertain whether antibiotics reduce the incidence of surgical site infections as the certainty of the evidence has been assessed as very low (RR 0.42, 95% CI 0.21 to 0.85; 5 studies, 226 participants; I2 = 25%). The certainty of the evidence was very low for all other reported outcomes (death, graft loss, and other infections). It is uncertain whether extended duration antibiotics reduces the incidence of surgical site infections in either solid organ transplant recipients (RR 1.19, 95% CI 0.58 to 2.48; 2 studies, 302 participants; I2 = 0%) or kidney-only transplant recipients (RR 0.50, 95% CI 0.05 to 5.48; 1 study, 205 participants) as the certainty of the evidence has been assessed as very low. The certainty of the evidence was very low for all other reported outcomes (death, graft loss, and other infections). None of the eight included studies evaluated antimicrobial agent adverse reactions, graft health, cardiovascular disease, cancer, life participation, biochemical and haematological parameters, intervention cost, hospitalisation length, or overall hospitalisation costs. AUTHORS' CONCLUSIONS: Due to methodological limitations, risk of bias and significant heterogeneity, the current evidence for the use of prophylactic perioperative antibiotics in transplantation is of very low quality. Further high quality, adequately powered RCTs would help better inform clinical practice.

Relative survival and quality of life benefits of pancreas-kidney transplantation, deceased kidney transplantation and dialysis in type 1 diabetes mellitus-a probabilistic simulation model.

For patients with type 1 diabetes mellitus who progress to the point of requiring renal replacement therapy, the relative benefits of simultaneous pancreas and kidney transplantation (SPK) and deceased donor kidney transplantation across different age categories compared to dialysis are uncertain. Using Australian and New Zealand registry data from 2006 to 2016, a probabilistic Markov model (n = 10 000) was built comparing patient survival between SPK and deceased donor kidney transplantation with dialysis. Compared to dialysis, the average life years saved (LYS) and quality-adjusted life years (QALY) for SPK and deceased donor kidney transplantation were 5.48 [95% CI 5.47, 5.49] LYS and 6.48 [6.47, 6.49] QALY, and 3.38 [3.36, 3.40] LYS and 2.46 [2.45, 2.47] QALY, respectively. For recipients aged 50 years or younger, receiving a deceased donor kidney, the average incremental gains compared to dialysis were 4.13 [4.10, 4.16] LYS and 2.99 [2.97, 3.01] QALY, and for recipients older than 50 years, 3.05 [3.02, 3.08] LYS and 2.25 [2.23, 2.27] QALY. Compared to dialysis, SPK transplantation incurs the greatest benefits in LYS and QALY for patients with type 1 diabetes requiring renal replacement therapy. Patients older than 50 years still experience survival benefits from deceased donor kidney transplantation compared to dialysis.