Effectiveness of education and attitudes toward different types of deceased donor kidneys: Survey analysis of single-center experience.

Background: We lack data on the effectiveness of education and the patient's attitude toward different deceased donor kidney types. A prospective study was performed to evaluate patient attitudes, baseline knowledge, and effectiveness of our kidney transplant education process. We also analyzed the knowledge retention of our waitlist patients. Design: We prospectively surveyed a patient cohort using a paired analysis pre and post education with initial evaluation visit. Knowledge retention among waitlist patients was assessed with annual waitlist visit. Results: One hundred four patients received paired surveys to assess the baseline knowledge and effectiveness of education. Forty-three patients received a single survey with their annual waitlist evaluation to assess knowledge retention. Paired survey showed mixed results, with no statistically significant improvement in the kidney donor profile index domain. Significant improvement was seen in the hepatitis C virus-positive donor domain and the Public Health Service (PHS) increased-risk donor domain. For the waitlist cohort, overall knowledge retention ranged from excellent to fair, with a decline in knowledge for the PHS increased-risk donor domain. Conclusion: Our study suggests that the education intervention regarding different deceased donor kidney types is effective overall and transplant candidates retain the knowledge while waiting for transplant.

Direct Correlation of Soluble HLA and HLA-Containing Exosomes and Inverse Correlation of Tolerance Marker-Containing Exosomes With Antibody-Mediated Rejection After Simultaneous Liver-Kidney Transplantation: A Case Study.

There is a lower incidence of antibody-mediated rejection (AMR) after simultaneous liver-kidney transplantation (SLKT) than after kidney-only transplantation. It has been suggested that soluble human leukocyte antigen (sHLA) produced by the liver protects the kidney from AMR. However, this hypothesis has not been tested after SLKT. We present a case of SLKT with 2 donor-specific antibodies (DSAs) (DR53, 12,364 mean fluorescence intensity [MFI]; DQ7, 1253 MFI) that displayed a decrease by day 7 (DR53, 2747 MFI; DQ7, 107 MFI). On day 351, the patient was diagnosed with kidney AMR associated with high levels of DSA (DR53, 18,542 MFI; DQ7, 22,007 MFI) that persisted until day 531. High levels of sHLA-DR/DQ and HLA-DR/DQ-containing exosomes were also detected on day 398. Consequently, the patient underwent treatment with plasmapheresis, intravenous immunoglobulin, prednisone, and rituximab. On day 752, biopsy results were negative for AMR. Moderate levels of DSA (DR53, 9798 MFI; DQ7, 1271 MFI), and baseline levels of sHLA-DR/DQ and HLA-DR/DQ-containing exosomes were observed. Increases in CD4+CD25+FOXP3+ regulatory T cell marker-containing exosomes (CD73, programmed death-ligand 1) were observed on day 752 compared to day 398. These data show a direct correlation between sHLA and HLA-containing exosomes and an inverse correlation between tolerance marker-containing exosomes and kidney AMR after SLKT.

Development and Validation of a Kidney-Transplant Specific Measure of Treatment Burden.

BACKGROUND: Treatment burden refers to the work involved in managing one's health and its impact on well-being and has been associated with nonadherence in patients with chronic illnesses. No kidney transplant (KT)-specific measure of treatment burden exists. The aim of this study was to develop a KT-specific supplement to the Patient Experience with Treatment and Self-Management (PETS), a general measure of treatment burden. METHODS: After drafting and pretesting KT-specific survey items, we conducted a cross-sectional survey study involving KT recipients from Mayo Clinic in Minnesota, Arizona, and Florida. Exploratory factor analysis (EFA) was used to identify domains for scaling the KT-specific supplement. Construct and known-groups validity were determined. RESULTS: Survey respondents (n = 167) had a mean age of 61 years (range 22-86) and received a KT on average 4.0 years ago. Three KT-specific scales were identified (transplant function, self-management, adverse effects). Higher scores on the KT-specific scales were correlated with higher PETS treatment burden, worse physical and mental health, and lower self-efficacy (p < 0.0001). Patients taking more medications reported higher transplant self-management burden. CONCLUSIONS: We developed a KT-specific supplement to the PETS general measure of treatment burden. Scores may help providers identify recipients at risk for nonadherence.

A Multifaceted Intervention to Improve Medication Adherence in Kidney Transplant Recipients: An Exploratory Analysis of the Fidelity of the TAKE IT Trial.

BACKGROUND: Inadequate adherence to prescribed immunosuppressive medication regimens among kidney transplant recipients is common, yet interventions are needed to support patients in sustaining adequate adherence to prescribed regimens and achieving optimal transplant outcomes. OBJECTIVE: We examined the preliminary fidelity of a transplant center-based, multifaceted adherence monitoring strategy known as TAKE IT. METHODS: The TAKE IT strategy includes: (1) routine, online, monthly patient self-report adherence assessments; (2) care alerts directed to nurses; (3) quarterly reports monitoring tacrolimus values and adherence trends; (4) support tools tailored to specific adherence concerns. A 2-arm, patient-randomized trial is underway at two large transplant centers (N=449). To evaluate the initial fidelity of TAKE IT, we investigated patient uptake of monthly adherence assessments during the course of a 3-month period, whether any disparities emerged, and the nature of any reported adherence concerns. RESULTS: Among 202 patients randomized and exposed to TAKE IT for 3-months or more, 81% (164/202) completed an adherence assessment, 73% (148/202) completed at least two, and 57% (116/202) completed all monthly assessments. Overall, 50% (82/164) of kidney transplant recipients reported at least one adherence concern over the 3-month assessment period. The most common barriers were classified as regimen-related (eg, regimen complexity), cognitive (eg, forgetfulness), and medical (eg, side effects). Higher-income participants were more likely to complete all surveys compared to lower-income participants (P=.01). CONCLUSIONS: TAKE IT demonstrated 81% (164/202) completion of an adherence assessment, 73% (148/202) completion of at least two, and 57% (116/202) completion of all monthly assessments during this brief, initial observation period. Among those that did respond to the online assessments, the majority demonstrated sustained engagement. Additional monitoring modalities could also be offered to meet patient preferences to ensure all patients' medication use can be properly monitored. TRIAL REGISTRATION: ClinicalTrials.gov NCT03104868; https://clinicaltrials.gov/ct2/show/NCT03104868.

Transplant regimen adherence for kidney recipients by engaging information technologies (TAKE IT): Rationale and methods for a randomized controlled trial of a strategy to promote medication adherence among transplant recipients.

BACKGROUND: Several studies report a high prevalence of non-adherence to prescribed immunosuppressive (IS) medications among kidney transplant recipients (KTRs), yet few interventions have been effective for helping patients sustain appropriate post-transplant adherence. We describe a multifaceted, evidence-based, medication adherence monitoring strategy ('TAKE IT') that leverages available transplant center resources to identify potential medication non-adherence and other concerns earlier to prevent complications that could result from inadequate IS adherence. METHODS: The TAKE IT strategy includes: 1) medication adherence mobile application; 2) routine, online patient self-reported adherence assessments; 3) care alert notifications via the electronic health record (EHR) directed to transplant coordinators; 4) quarterly adherence reports to monitor IS values and summarize adherence trends; 5) deployment of adherence support tools tailored to specific adherence concerns. To test the TAKE IT intervention, we will conduct a two-arm, patient-randomized controlled trial at two large, diverse transplant centers (Northwestern University, Mayo Clinic, AZ) with planned recruitment of 450 KTRs (n = 225 per site) within 2 years of transplantation and 2 years of follow-up. Study assessments will take place at baseline, 6 weeks, 6, 12, 18 and 24 months. The primary effectiveness outcome is medication adherence via pill count, secondary outcomes include self-reported adherence and clinical outcomes. Process outcomes and cost-effectiveness will also be examined. CONCLUSION: The TAKE IT trial presents an innovative approach to monitoring and optimizing medication adherence among a population taking complex medication regimens. This trial seeks to evaluate the effectiveness and feasibility of this strategy compared to usual care.