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Modulating the large intestinal microbiome of kidney transplant recipients (KTRs) may reduce infectious complications. The aim of this study is to assess the feasibility of a randomized controlled trial of prebiotics in reducing infections and gastrointestinal symptoms in KTRs.Acute KTRs were recruited to a double-blind, placebo-controlled, randomized trial at a single kidney transplant center. Patients were provided with prebiotics or placebo for 7 weeks. The primary outcome was feasibility, defined as recruitment of ≥80% of eligible people within 6 months. Secondary outcomes included adherence and tolerability, participant retention in trial, proportions of participants providing serum and stool specimens, self-reported quality of life, gastrointestinal symptoms, and infection events.During the 7-week period, 72 patients met eligibility criteria, of whom 60 (83%) consented to participate (mean ± standard deviation age 53 ± 12 years; 62% males). Fifty-six (78%) participants were randomized (27 interventions and 29 controls). Although participants receiving intervention experienced reduced gastrointestinal symptoms (-0.28 [interquartile range, IQR -0.67 to 0.08] vs. -0.07 [IQR -0.27 to 0], P = .03), both control and intervention groups were similar in adherence (67% vs. 72%, P = .36), tolerability (56% vs. 62%, P = .64), quality of life (-0.2 [IQR -0.6 to 0] vs. -0.2 [IQR -0.8 to 0], P = .82), and infection events (33% vs. 34%, P = .83). Blood and stool samples were collected from ≥90% of participants in both groups.It is feasible to recruit and retain acute KTRs in a randomized, placebo-controlled trial examining the effect of prebiotics on infections and gastrointestinal symptoms. This study also showed that prebiotics significantly reduced gastrointestinal symptoms.

The benefits of dialysis in the older population remain highly debated, particularly for certain dialysis modalities. This study aimed to explore the dialysis modality utilization patterns between in-centre haemodialysis (ICHD), peritoneal dialysis (PD) and home haemodialysis (HHD) and their association with outcomes in older persons.Older persons (≥75 years) initiating dialysis in Australia and New Zealand from 1999 to 2018 reported to the Australia and New Zealand Dialysis and Transplant (ANZDATA) registry were included. The main aim of the study was to characterize dialysis modality utilization patterns and describe individual characteristics of each pattern. Relationships between identified patterns and survival, causes of death and withdrawal were examined as secondary analyses, where the pattern was considered as the exposure.A total of 10 306 older persons initiated dialysis over the study period. Of these, 6776 (66%) and 1535 (15%) were exclusively treated by ICHD and PD, respectively, while 136 (1%) ever received HHD during their dialysis treatment course. The remainder received both ICHD and PD: 906 (9%) started dialysis on ICHD and 953 (9%) on PD. Different individual characteristics were seen across dialysis modality utilization patterns. Median survival time was 3.0 (95%CI 2.9-3.1) years. Differences in survival were seen across groups and varied depending on the time period following dialysis initiation. Dialysis withdrawal was an important cause of death and varied according to individual characteristics and utilization patterns.This study showed that dialysis modality utilization patterns in older persons are associated with mortality, independent of individual characteristics.

Today, older adult patients routinely undergo kidney transplantation. To support graft survival, patients must take immunosuppressant medicines for the rest of their lives. The post-transplant medication regimen is complex, and barriers to medication taking are likely confounded by both functional and intrinsic changes associated with advancing age. To develop diverse and innovative approaches to support best health outcomes in this vulnerable age group, it is imperative that the degree to which patients' needs are currently being met, be identified.The aim of this study was to examine medication-taking behaviours of kidney transplant recipients transplanted at 60 years of age or older.This qualitative study used semi-structured patient interviews to explore how kidney transplant recipients currently manage their immunosuppressant regimen and how they cope after transplantation with the complex routine. Data were themed using the principles of Grounded Theory methodology; with interviews conducted until data saturation was reached.Quantitative information was collected from 14 participants who ranged in age from 66 to 77 years (at time of interview), and were prescribed a median of 13 (min: 10, max: 26) medicines. The main themes that emerged from the interview were variability in health literacy toward medicines, the importance of support networks, the need to adjust health expectations, factors that were motivators for self-care, different approaches to medication management, and different approaches to medication taking. Overall, it was found that patients prioritised medication taking above all else, and gratitude to their donor was a powerful motivator to adhere. However, strategies to support medication taking were sometimes ineffective when patients' routine changed.Future interventions should consider approaches to foster adaptable medication taking behaviours that stand up to changes in the day-to-day routine.Medication taking is complicated in transplant recipients, due to the number of medicines that need to be taken and the complex nature of the treatment regimen. Challenges in older transplant recipients may be more pronounced and varied compared with younger adults. There are multiple factors that may impact medication taking in older adults and each requires consideration, including level of dependence, living arrangements, level of mobility and manual dexterity, vision and memory, and social situation. To better identify the gaps in support, patients’ current perspectives around medication taking and how they cope after transplantation must be explored. Therefore, this study aimed to identify how older adult transplant recipients currently manage their anti-rejection medicine regimen. Participants described several strategies around how they manage a complex medication regimen. These included cues such as an alarm and linking the time they should take their medication to already established habits such as eating meals. Most participants discussed at length their relationships, and it seems that these relationships are often crucial to post-transplant positivity. Additionally, extreme gratitude to the donor, relative improvement in their life quality (compared with the rapid deterioration in their health when on dialysis), and fear of consequences (particularly graft failure) were important facilitators of self-care and served as timely reminders to prioritise one’s own health. To foster more robust medication-taking habits, future education needs to be tailored to each individual patient and include details about how to link medication taking to already established routines (coined ‘habit stacking’).

Angiotensin II type 1 receptor antibody (AT1R Ab) is a non-Human Leucocyte Antigen (HLA) antibody that is maybe associated with early severe kidney transplant rejection and worse graft outcomes. This study aimed to assess the association between AT1R Ab and kidney transplant rejection and graft outcomes.We performed a retrospective analysis of all adult kidney transplant recipients in an Australian centre who had an AT1R Ab test between 1 January 2015 to 30 June 2020. AT1R Ab positive patients were compared to AT1R Ab negative patients. Primary outcomes were rejection risk, type and histopathological severity scores. Secondary outcomes were 8-week graft function and graft loss.Of 965 kidney transplants that were performed during the study period, 73 patients had AT1R Ab tested; 16 (22%) were positive and 57(78%) were negative. Positive patients were on average younger and had higher level of donor-specific HLA antibodies. Rejection occurred in 13 (81%) positive patients and 41 (72%) negative patients (P = 0.45). No significant differences in rejection type or severity were found. HLA mismatch and peak panel reactive antibody ≥80%, but not AT1R Ab, independently predicted rejection. Average (132 vs. 177 mmol/L, P = 0.302) and graft loss were not significantly different between groups.The study found no evidence that AT1R Ab is associated with rejection type, severity or worse graft function. Future studies should assess its relationship with graft outcomes to help complement immunological risk assessment and potentially provide therapeutic options to alter outcomes.

Infections are a common complication following kidney transplantation, but are reported inconsistently in clinical trials. This study aimed to identify the infection outcomes of highest priority for patients/caregivers and health professionals to inform a core outcome set to be reported in all kidney transplant clinical trials.In an international online survey, participants rated the absolute importance of 16 infections and eight severity dimensions on 9-point Likert Scales, with 7-9 being critically important. Relative importance was determined using a best-worst scale. Means and proportions of the Likert-scale ratings and best-worst preference scores were calculated.353 healthcare professionals (19 who identified as both patients/caregiver and healthcare professionals) and 220 patients/caregivers (190 patients, 22 caregivers, eight who identified as both) from 55 countries completed the survey. Both healthcare professionals and patients/caregivers rated bloodstream (mean 8.4 and 8.5, respectively; aggregate 8.5), kidney/bladder (mean 7.9 and 8.4; aggregate 8.1), and BK virus (mean 8.1 and 8.6; aggregate 8.3) as the top three most critically important infection outcomes, whilst infectious death (mean 8.8 and 8.6; aggregate 8.7), impaired graft function (mean 8.4 and 8.7; aggregate 8.5) and admission to the intensive care unit (mean 8.2 and 8.3; aggregate 8.2) were the top three severity dimensions. Relative importance (best-worst) scores were consistent.Healthcare professionals and patients/caregivers consistently identified bloodstream infection, kidney/bladder infections, and BK virus as the three most important infection outcomes, and infectious death, admission to intensive care unit and infection impairing graft function as the three most important infection severity outcomes.

BACKGROUND Background: The metabolic syndrome (MetS) is common across many complex chronic disease groups. Advances in health technology have provided opportunities to support lifestyle interventions. Implementation of health technology driven services in a tertiary setting remains untested. OBJECTIVE The purpose of this study is to test the feasibility of a health technology-assisted lifestyle intervention in a patient-led model of care. METHODS Methods: The study is a single-centre, 26-week randomised controlled trial. The setting is specialist kidney and liver disease clinics at a large Australian tertiary hospital. The participants will be adults with a complex chronic condition who are referred for dietetic assessment and display at least one feature of the MetS. All participants will receive an individualised assessment and advice on diet quality from a dietitian, a wearable activity monitor and standard care. Participants randomised to the intervention group will receive access to a suite of health technologies from which to choose, including common base components (text messages) and optional components (online and mobile app based nutrition information; online home exercise program; group-based videoconferencing). Exposure to the optional aspects of the intervention will be patient-led, with participants choosing their preferred level of engagement. The primary outcome will be the feasibility of delivering the program, determined by safety, recruitment rate, retention, exposure uptake and telehealth adherence. Secondary outcomes will be clinical effectiveness, patient-led goal attainment, treatment fidelity, exposure demand and participant perceptions. Primary outcome data will be assessed descriptively, and secondary outcomes will be assessed using ANCOVA. This study will provide evidence on the feasibility of the intervention in a tertiary setting for patients with complex chronic disease exhibiting features of the MetS. RESULTS Results: The study was funded in 2019. Enrolment has commenced and is expected to be completed by June 2022. Data collection and follow up are expected to be completed by December 2022. Results from the analyses based on primary outcomes are expected to be submitted for publication by June 2023. CONCLUSIONS Conclusions: The study will test the implementation of a health technology assisted lifestyle intervention in a tertiary outpatient setting for a diverse group of patients with complex chronic conditions. It is novel in that it embeds patient choice into intervention exposure and will inform health services decision makers in regards to the feasibility of scale and spread of technology-assisted access to care for a broader reach of specialist services. CLINICALTRIAL Australian New Zealand Clinical Trial Registry (http://www.anzctr.org.au/): ACTRN12620001282976.

Background The metabolic syndrome is common across many complex chronic disease groups. Advances in health technology have provided opportunities to support lifestyle interventions. Objective The purpose of this study is to test the feasibility of a health technology-assisted lifestyle intervention in a patient-led model of care. Methods The study is a single-center, 26-week, randomized controlled trial. The setting is specialist kidney and liver disease clinics at a large Australian tertiary hospital. The participants will be adults with a complex chronic condition who are referred for dietetic assessment and display at least one feature of the metabolic syndrome. All participants will receive an individualized assessment and advice on diet quality from a dietitian, a wearable activity monitor, and standard care. Participants randomized to the intervention group will receive access to a suite of health technologies from which to choose, including common base components (text messages) and optional components (online and mobile app–based nutrition information, an online home exercise program, and group-based videoconferencing). Exposure to the optional aspects of the intervention will be patient-led, with participants choosing their preferred level of engagement. The primary outcome will be the feasibility of delivering the program, determined by safety, recruitment rate, retention, exposure uptake, and telehealth adherence. Secondary outcomes will be clinical effectiveness, patient-led goal attainment, treatment fidelity, exposure demand, and participant perceptions. Primary outcome data will be assessed descriptively and secondary outcomes will be assessed using an analysis of covariance. This study will provide evidence on the feasibility of the intervention in a tertiary setting for patients with complex chronic disease exhibiting features of the metabolic syndrome. Results The study was funded in 2019. Enrollment has commenced and is expected to be completed by June 2022. Data collection and follow up are expected to be completed by December 2022. Results from the analyses based on primary outcomes are expected to be submitted for publication by June 2023. Conclusions The study will test the implementation of a health technology–assisted lifestyle intervention in a tertiary outpatient setting for a diverse group of patients with complex chronic conditions. It is novel in that it embeds patient choice into intervention exposure and will inform health service decision-makers in regards to the feasibility of scale and spread of technology-assisted access to care for a broader reach of specialist services. Trial Registration Australian New Zealand Clinical Trial Registry ACTRN12620001282976; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=378337 International Registered Report Identifier (IRRID) DERR1-10.2196/37556

BACKGROUND: Supervised lifestyle interventions have the potential to significantly improve physical activity and fitness in patients with CKD. METHODS: To assess the efficacy of a lifestyle intervention in patients with CKD to improve cardiorespiratory fitness and exercise capacity over 36 months, we conducted a randomized clinical trial, enrolling 160 patients with stage 3–4 CKD, with 81 randomized to usual care and 79 to a 3-year lifestyle intervention. The lifestyle intervention comprised care from a multidisciplinary team, including a nephrologist, nurse practitioner, exercise physiologist, dietitian, diabetes educator, psychologist, and social worker. The exercise training component consisted of an 8-week individualized and supervised gym-based exercise intervention followed by 34 months of a predominantly home-based program. Self-reported physical activity (metabolic equivalent of tasks [METs] minutes per week), cardiorespiratory fitness (peak O(2) consumption [VO(2peak)]), exercise capacity (maximum METs and 6-minute walk distance) and neuromuscular fitness (grip strength and get-up-and-go test time) were evaluated at 12, 24, and 36 months. RESULTS: The intervention increased the percentage of patients meeting physical activity guideline targets of 500 MET min/wk from 29% at baseline to 63% at 3 years. At 12 months, both VO(2peak) and METs increased significantly in the lifestyle intervention group by 9.7% and 30%, respectively, without change in the usual care group. Thereafter, VO(2peak) declined to near baseline levels, whereas METs remained elevated in the lifestyle intervention group at 24 and 36 months. After 3 years, the intervention had increased the 6-minute walk distance and blunted declines in the get-up-and-go test time. CONCLUSIONS: A 3-year lifestyle intervention doubled the percentage of CKD patients meeting physical activity guidelines, improved exercise capacity, and ameliorated losses in neuromuscular and cardiorespiratory fitness.