Association of medication non-adherence with short-term allograft loss after the treatment of severe acute kidney transplant rejection

A Descriptive, Correlational Study of Perceptions of Adult Kidney Transplant Recipients and Those Waiting for a Kidney Transplant About Managing Their Medications During a Pandemic

Introduction: Little is known about COVID-19 impact on patient medication management. Research Question: The aim was to describe medication management, healthcare team interactions, and adherence during the COVID-19 pandemic in kidney transplant patients and those on the kidney transplant wait list. Design: Using a descriptive, correlational design 340 adults from a midwestern US transplant program were recruited. The Managing Medications in the Midst of a Pandemic Survey measured healthcare team encounters and medication management. The Basel assessment of adherence to medications scale measured medication adherence. Results: The response rate was 35% (119/340). During the pandemic, 88% had practiced/were currently practicing socially distancing, 85% had worn/were currently wearing a face mask in public, 18% had been/were currently diagnosed with COVID-19 and 82% received the vaccine. Medication management: 76% planned and organized their own medications. Healthcare team interactions: 89% met in the office, 20% via phone, 12% telehealth, and 13% delayed seeing a healthcare provider because of COVID-19 concerns. Pharmacy interactions: 11% changed their method of obtaining medications from pharmacy due to social distancing. Medication adherence implementation was problematic with 19% missing a dose; results from the binary logistic regression suggested that those with higher levels of education were more likely to report missing a dose. Conclusions: Patients acted to prevent COVID-19 but some still contracted the virus. The pandemic changed healthcare team medication management interactions. Adherence implementation problems were nearly 20%. Findings are relevant to the transplant healthcare team to understand the impact of a pandemic on patient/team interactions and medication adherence.

Is Non-Adherence Associated with Adverse Outcomes in Kidney Transplant Recipients? The Role of Non-Adherence as a Risk and Predictor Factor for Graft Loss and Death

Introduction

 Non-adherence in kidney transplants is diversely defined. Immunosuppression non-adherence (INA) is the most used definition and has been associated with graft loss and acute rejection. But INA assesses only one fraction of adherence. Therefore, we analyzed the association of a holistic non-adherence definition with transplant outcomes and compared its prediction performance with other definitions.

Methods

 We retrospectively included 739 kidney recipients between 2019 and 2021. We evaluated holistic non-adherence (HNA), suboptimal-immunosuppressor levels (SIL), appointment non-adherence (ANA), procedure non-adherence (PNA) and INA. The main outcomes were graft loss, graft rejection, and mortality. A backward logistic regression was performed estimating adjusted and un-adjusted odds ratio (OR) for each outcome. Finally, we compared the non-adherence definitions' prediction for the main outcomes using the area under the curve.

Results

HNA was present in 28.7% of patients. Non-adherent patients had an adjusted OR of 2.66 (1.37-5.15) for mortality, 6.44 for graft loss (2.71-16.6), and 2.28 (1.15-4.47) for graft rejection. INA and PNA presented a moderate discrimination for graft loss and HNA and ANA mild-to-moderate discrimination for graft loss and death.

Conclusion

Holistic non-adherence was associated with worst outcomes in kidney recipients and had a significant prediction performance for graft loss and mortality.

A Cross-Sectional Analysis of Health Literacy and Compliance to Treatment in Organ Transplant Recipients

This study was conducted to determine the correlations between health literacy, transplant effects, and compliance to treatment in organ transplant recipients and to identify the factors influencing compliance to treatment. The participants (n = 130; males = 66.9%; mean age = 56.4 years) were organ transplant recipients visiting an organ transplantation center in Seoul, South Korea. The regression model explained 32% of the variance in participants' compliance to treatment. Among the health literacy variables, "Scale 3: Actively managing my health" (β = 0.38, p = 0.001) and "Scale 4: Social support for health" (β = 0.25, p = 0.019) had a significant effect on compliance to treatment. In this study, health literacy was identified as a key factor influencing compliance to treatment. Therefore, patients' health literacy should be assessed prior to transplantation to identify potential high-risk patients for treatment nonadherence. In addition, after transplantation surgery, patient-tailored interventions should be developed and provided for self-management that reflects the patient's health literacy level to ultimately enhance patient outcomes.

Pharmacotherapeutic Interventions in People Living With HIV Undergoing Solid Organ Transplantation: A Scoping Review

The pharmacotherapeutic management of people living with HIV (PLWHIV) undergoing solid organ transplantation (SOT) is clinically challenging, mainly due to the frequent occurrence of complex drug-drug interactions. Although various strategies have been proposed to improve treatment outcomes in these patients, several uncertainties remain, and consensus practice guidelines are just beginning to emerge. The main objective of this scoping review was to map the extent of the literature on the pharmacotherapeutic interventions performed by healthcare professionals for PLWHIV undergoing SOT.

Methods

We searched Medline, Embase, and the Cochrane databases as well as gray literature for articles published between January 2010 and February 2020. Study selection was performed by at least 2 independent reviewers. Articles describing pharmacotherapeutic interventions in PLWHIV considered for or undergoing SOT were included in the study.

Results

Of the 12 599 references identified through our search strategy, 209 articles met the inclusion criteria. Results showed that the vast majority of reported pharmacotherapeutic interventions concerned the management of immunosuppressive and antimicrobial therapy, including antiretrovirals. Analysis of the data demonstrated that for several aspects of the pharmacotherapeutic management of PLWHIV undergoing SOT, there were differing practices, such as the choice of immunosuppressive induction and maintenance therapy. Other important aspects of patient management, such as patient counseling, were rarely reported.

Conclusions

Our results constitute an extensive overview of current practices in the pharmacotherapeutic management of SOT in PLWHIV and identify knowledge gaps that should be addressed to help improve patient care in this specific population.

AIM2 as a putative target in acute kidney graft rejection

Acute rejection (AR) is a process triggered via the recognition of grafted organ-derived antigens by the immune system, which could present as a life-threatening condition. In the context of a kidney transplant, despite improvement with immunosuppressive therapies, AR maintains a significant incidence of 10%, and currently available drugs generally act in similar and canonical pathways of lymphocyte activation. This prompted the research for different approaches to identify potential novel targets that could improve therapeutic interventions. Here, we conducted a transcriptome analysis comparing groups of acute rejection (including T cell-mediated rejection and antibody-mediated rejection) to stable grafts that included differentially expressed genes, transcription factor and kinase enrichment, and Gene Set Enrichment Analysis. These analyses revealed inflammasome enhancement in rejected grafts and AIM2 as a potential component linked to acute rejection, presenting a positive correlation to T-cell activation and a negative correlation to oxidative phosphorylation metabolism. Also, the AIM2 expression showed a global accuracy in discerning acute rejection grafts (area under the curve (AUC) = 0.755 and 0.894, p < 0.0001), and meta-analysis comprising different studies indicated a considerable enhancement of AIM2 in rejection (standardized mean difference (SMD) = 1.45, [CI 95%, 1.18 to 1.71]), especially for T cell-mediated rejection (TCMR) (SMD = 2.01, [CI 95%, 1.58 to 2.45]). These findings could guide future studies of AIM2 as either an adjuvant target for immunosuppression or a potential biomarker for acute rejection and graft survival.

A Cost-effectiveness Analysis of Adherence Promotion Strategies to Improve Rejection Rates in Adolescent Kidney Transplant Recipients

RATIONALE & OBJECTIVE

Nonadherence to medical regimens increases the risk of graft loss among adolescent and young adult recipients of kidney transplants. Interventions that improve adherence may decrease rejection rates, but their perceived costs are a barrier to clinical implementation. We developed a model to assess the cost-effectiveness of an adherence promotion strategy, the Medication Adherence Promotion System (MAPS).

STUDY DESIGN

Simulation-based. Data sources included published articles indexed in Medline or referenced in bibliographies of relevant English-language articles. Data on costs and outcomes were taken from a single clinical center.

SETTING & POPULATION

US adolescent patients after their first kidney transplant.

INTERVENTION

Usual posttransplant care versus usual care plus MAPS.

OUTCOME

Effectiveness measured in quality-adjusted life years (QALYs) and costs measured in 2020 US dollars.

MODEL, PERSPECTIVE, & TIMEFRAME

Markov state transition decision model. We used a health care system perspective with a lifelong time horizon.

RESULTS

In the base-case analysis, MAPS was more effective and less costly than usual care. MAPS cost $9,106 per patient less than usual care and resulted in a gain of 0.32 QALYs. In probabilistic sensitivity analyses, MAPS was cost saving 100% of the time. Extending results to a program level with 100 patients, any adherence promotion intervention similar in effectiveness to MAPS would cost less than $50,000/QALY if the start-up costs were <$2.5 million and annual costs <$188,000. Strategies with costs similar to MAPS that reduce the risk of rejection by as little as 3% would also have similar cost-effectiveness.

LIMITATIONS

Estimates of components and costs for MAPS were based on a single center.

CONCLUSIONS

Adherence promotion strategies with costs similar to MAPS can be cost-effective as long as they reduce rejection rates by at least 3%. This model can be applied to study the cost-effectiveness of adherence promotion strategies with varying costs and outcomes.

Patient-Reported Outcomes as Endpoints in Clinical Trials of Kidney Transplantation Interventions

Patient-reported outcomes (PROs) that assess individuals' perceptions of life participation, medication adherence, disease symptoms, and therapy side effects are extremely relevant in the context of kidney transplantation. All PROs are potentially suitable as primary or secondary endpoints in interventional trials that aim to improve outcomes for transplant recipients. Using PRO measures (PROMs) in clinical trials facilitates assessment of the patient's perspective of their health, but few measures have been developed and evaluated in kidney transplant recipients; robust methodologies, which use validated instruments and established frameworks for reporting, are essential. Establishing a core PROM for life participation in kidney transplant recipients is a critically important need, which is being developed and validated by the Standardized Outcomes in Nephrology (SONG)-Tx Initiative. Measures involving electronic medication packaging and smart technologies are gaining traction for monitoring adherence, and could provide more robust information than questionnaires, interviews, and scales. This article summarizes information on PROs and PROMs that was included in a Broad Scientific Advice request on clinical trial design and endpoints in kidney transplantation. This request was submitted to the European Medicines Agency (EMA) by the European Society for Organ Transplantation in 2016. Following modifications, the EMA provided its recommendations in late 2020.

Medication, Healthcare Follow-up, and Lifestyle Nonadherence: Do They Share the Same Risk Factors?

Barriers to medication adherence may differ from barriers in other domains of adherence. In this study, we assessed the association between pre-kidney transplantation (KT) factors with nonadherent behaviors in 3 different domains post-KT.

METHODS

We conducted a prospective cohort study with patient interviews at initial KT evaluation (baseline-nonadherence predictors in sociodemographic, condition-related, health system, and patient-related psychosocial factors) and at ≈6 mo post-KT (adherence outcomes: medications, healthcare follow-up, and lifestyle behavior). All patients who underwent KT at our institution and had ≈6-mo follow-up interview were included in the study. We assessed nonadherence in 3 different domains using continuous composite measures derived from the Health Habit Survey. We built multiple linear and logistic regression models, adjusting for baseline characteristics, to predict adherence outcomes.

RESULTS

We included 173 participants. Black race (mean difference in adherence score: -0.72; 95% confidence interval [CI], -1.12 to -0.32) and higher income (mean difference: -0.34; 95% CI, -0.67 to -0.02) predicted lower medication adherence. Experience of racial discrimination predicted lower adherence (odds ratio, 0.31; 95% CI, 0.12-0.76) and having internal locus of control predicted better adherence (odds ratio, 1.46; 95% CI, 1.06-2.03) to healthcare follow-up. In the lifestyle domain, higher education (mean difference: 0.75; 95% CI, 0.21-1.29) and lower body mass index (mean difference: -0.08; 95% CI, -0.13 to -0.03) predicted better adherence to dietary recommendations, but no risk factors predicted exercise adherence.

CONCLUSIONS

Different nonadherence behaviors may stem from different motivation and risk factors (eg, clinic nonattendance due to experiencing racial discrimination). Thus adherence intervention should be individualized to target at-risk population (eg, bias reduction training for medical staff to improve patient adherence to clinic visit).

Toward a better understanding: An exploration of provider perceptions in pediatric hematopoietic stem cell transplant adherence

Pediatric HSCT patients endure complicated treatment regimens, lifestyle modifications, and a lifetime of long-term follow-up. Treatment adherence in this population is understudied and prevalence unknown. Providers (physicians and advanced practice nurses) in this study completed an online-structured questionnaire about definition, assessment, and perceived rates of adherence. Researchers' extracted 187 statements from participants' responses. The majority (n = 12, 71%) of providers reported adherence as a primary concern in outpatient HSCT. The major concern for providers was the potential of non-adherence to negatively affect outcomes. Providers also shared clinical examples of non-adherence. This study contributes to a better understanding of providers' perceptions of adherence within pediatric HSCT. Additional research is needed to describe, define, and improve adherence in pediatric HSCT to ultimately improve outcomes and quality of life for this vulnerable population.