Factors predictive of medication nonadherence after renal transplantation: a French observational study. Transplantation. 2013;95:326-332. [PMID: 23149477 DOI: 10.1097/tp.0b013e318271d7c1]

Determining the Relationship Between Perceived Social Support and Immunosuppressive Medication Adherence After Kidney Transplantation: A Descriptive Correlational Study

BACKGROUND

What is known about how the level of social support, which is among the factors affecting medication adherence, affects medication adherence is limited.

OBJECTIVES

This study investigated the relationship between perceived social support and immunosuppressive medication adherence among kidney recipients.

DESIGN

This study was conducted using a descriptive correlational research method.

PARTICIPANTS

The study conducted research with 168 kidney transplant recipients who agreed to participate between April and June 2021. Participants completed the Immunosuppressive Medication Adherence Scale (IMAS) and the Multidimensional Scale of Perceived Social Support (MSPSS).

MEASUREMENTS AND RESULTS

Participants had a mean IMAS and MSPSS score of 50.24 ± 3.71 and 57.21 ± 13.96, respectively. Participants' MSPSS total (r = 0.209, p = 0.006) and 'family' (r = 0.248, p = 0.001) and 'friends' (r = 0.226, p = 0.003) subscale scores were weakly and positively correlated with their IMAS total score.

CONCLUSION

Understanding the effect of perceived social support on immunosuppressive medication adherence is important for designing future interventions to increase immunosuppressive medication adherence.

Physical activity in liver transplant recipients: a large multicenter study

AIM

Healthy lifestyle and appropriate diet are of critical importance after liver transplant (LT). We provided an analysis of the main patterns of physical activity and found factors associated with physical activity itself.

METHODS

Clinically stable LT recipients were enrolled between June and September 2021. Patients completed a composite questionnaire about physical activity, adherence to Mediterranean Diet (MD), quality of life (QoL), and employment. Correlations were analysed using the Pearson coefficients while different subgroups were compared by t-test for independent samples or ANOVAs. Multivariable logistic regression analysis was conducted to find predictors of inactivity.

RESULTS

We enrolled 511 subjects (71% males, mean age 63 ± 10.8 years). One hundred and ninety-three patients reported high level of physical activity, 197 a minimal activity and 121 declared insufficient activity. Among these latter, 29 subjects were totally inactive. Considering the 482 LT recipients performing some kind of physical activity, almost all reported a low-quality, non-structured activity. At multivariate analysis, time from LT (odds ratio 0.94, 95% CI 0.89-0.99, p = 0.017), sedentary lifestyle (odds ratio 0.99, 95% CI 0.19-0.81, p = 0.012), low adherence to MD (odds ratio 1.22, 95% CI 1.01-1.48, p = 0.049), and low level of QoL (physical dimension) (odds ratio 1.13, 95% CI 1.08-1.17, p < 0.001), were independently associated with total inactivity.

CONCLUSION

A large portion of LT recipients report an insufficient level of physical activity or are wholly inactive. Inactivity increases with time from LT and was strongly associated with suboptimal diet and low QoL.

Using Regression Equations to Enhance Interpretation of Histology Lesions of Kidney Transplant Rejection

BACKGROUND

The Banff system for histologic diagnosis of rejection in kidney transplant biopsies uses guidelines to assess designated features-lesions, donor-specific antibody (DSA), and C4d staining. We explored whether using regression equations to interpret the features as well as current guidelines could establish the relative importance of each feature and improve histologic interpretation.

METHODS

We developed logistic regression equations using the designated features to predict antibody-mediated rejection (AMR/mixed) and T-cell-mediated rejection (TCMR/mixed) in 1679 indication biopsies from the INTERCOMEX study ( ClinicalTrials.gov NCT01299168). Equations were trained on molecular diagnoses independent of the designated features.

RESULTS

In regression and random forests, the important features predicting molecular rejection were as follows: for AMR, ptc and g, followed by cg; for TCMR, t > i. V-lesions were relatively unimportant. C4d and DSA were also relatively unimportant for predicting AMR: by AUC, the model excluding them (0.853) was nearly as good as the model including them (0.860). Including time posttransplant slightly but significantly improved all models. By AUC, regression predicted molecular AMR and TCMR better than Banff histologic diagnoses. More importantly, in biopsies called "no rejection" by Banff guidelines, regression equations based on histology features identified histologic and molecular rejection-related changes in some biopsies and improved survival predictions. Thus, regression can screen for missed rejection.

CONCLUSIONS

Using lesion-based regression equations in addition to Banff histology guidelines defines the relative important of histology features for identifying rejection, allows screening for potential missed diagnoses, and permits early estimates of AMR when C4d and DSA are not available.

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.

Measurement of the Immunosuppressant Possession Ratio by Transplant Clinical Pharmacists Captures a Non-Adherence Associated With Antibody-Mediated Rejection

Our objective was to calculate an immunosuppressant possession ratio (IPR) to diagnose non-adherence at the time of antibody-mediated rejection (ABMR). IPR was defined as the ratio of number of pills collected at the pharmacy to the number of pills prescribed over a defined period. In a first cohort of 91 kidney transplant recipients (KTRs), those with an IPR < 90% had more frequently a tacrolimus through level coefficient of variation >30% than patients with an IPR = 100% (66.7% vs. 29.4%, p = 0.05). In a case-control study, 26 KTRs with ABMR had lower 6 months IPRs than 26 controls (76% vs. 99%, p < 0.001). In KTRs with ABMR, non-adherence was more often diagnosed by a 6 months IPR < 90% than by clinical suspicion (73.1% vs 30.8%, p = 0.02). In the multivariable analysis, only de novo DSA and 6 months IPR < 90% were independently associated with ABMR, whereas clinical suspicion was not (odds ratio, 4.73; 95% CI, 1.17-21.88; p = 0.03; and odds ratio, 6.34; 95% CI, 1.73-25.59; p = 0.007, respectively). In summary, IPR < 90% is a quantifiable tool to measure immunosuppressant non-adherence. It is better associated with ABMR than clinical suspicion of non-adherence.

Prevalence and Modifiable Factors for Holistic Non-Adherence in Renal Transplant Patients: A Cross-Sectional Study

Introduction

In renal transplant recipients, compliance with medical therapy is vital. Non-adherence is considered a risk factor for worst outcomes in kidney recipients, with attributed outcomes of 64% for graft loss and 80% for late acute rejection. Most literature defines adherence as self-based immunosuppression compliance but does not consider other relevant factors such as consult and procedure compliance. Therefore, this study aims to describe adherence prevalence in kidney transplant recipients and the factors related to non-adherence.

Methods

This cross-sectional study included 1030 renal transplant patients followed by Colombiana de Trasplantes between January 2019 and July 2021. Sociodemographic and clinical variables were obtained based on clinical records. The mental-health group diagnosed holistic adherence in a semi-structured interview. The diagnosis considered medication intake failure, frequency and number of failures to medical controls or other procedures, suspicious non-adherence behaviors, and serum levels of immunosuppressants. A bivariate followed a descriptive analysis, and a forward logistic regression was performed for non-adherence.

Results

Patients had a median of 47 years, and 58.1% were male. Non-adherence was presented in 30.7% of patients. The non-adherence patients were younger, with a higher prevalence of males, single, divided transplant care, had a longer time after transplantation, psychopathological diagnosis, and more reinforcement education by only nursing. Older age and multidisciplinary reinforcement education were protective factors. On the other hand, poor social support, psychopathology diagnosis, and longer time after transplant presented as non-adherence risk factors.

Conclusion

Holistic non-adherence was diagnosed in approximately one-third of renal transplant recipients. Its definition included more than just medication non-compliance and could identify more non-adherent patients. Notably, there is a need to consider the related factors in the health follow-up and encourage future research in modifiable factor interventions aiming to increase adherence and achieve better outcomes for renal transplant patients.

[Medication adherence in renal transplantation: Evaluation, predictive factors and impact on humoral alloreactivity]

OBJECTIVES

The aims of this study were to assess medication adherence to immunosuppressive treatment in kidney transplanted patients, to identify predictive factors of medication non-adherence and to analyse its impact on the development of Donor Specific Antibodies (DSA) de novo, biomarkers of rejection in transplant recipients.

METHODS

A cross-sectional single-centre study was conducted to assess medication adherence to immunosuppressive treatment with the BAASIS (Basel Assessment of Adherence Scale for Immunosuppressives) self-report questionnaire. Univariate and multivariate analyses were performed to determine non-adherence predictive factors and its role in the development of DSA de novo.

RESULTS

A total of 212 renal transplanted patients completed the BAASIS questionnaire: 36,3 % were non-adherent to their immunosuppressive treatment. Patient's age and taking azathioprine were independent predictors of non-adherence and "married or living together" family status was a protective factor in the multivariate analysis. Medication non-adherence was associated with DSA de novo development in the multivariate model and it multiplied their risk of development by 3.

CONCLUSIONS

This study, which detected a large proportion of patients who did not adhere to immunosuppressive treatment, highlighted non-adherence predictors and showed the association between non-adherence and development of DSA de novo. In case of non-adherent behavior, it is crucial to set up a personalised support for patients with a multidisciplinary approach of therapeutic education, in which the clinical pharmacist has a role.

Clinical Utility of the OmniGraf Biomarker Panel in the Care of Kidney Transplant Recipients (CLARITY): Protocol for a Prospective, Multisite Observational Study

BACKGROUND

Death with a functioning allograft has become the leading category of graft loss in kidney transplant recipients at all time points. Previous analyses have demonstrated that causes of death in kidney transplant recipients are predominated by comorbidities strongly associated with immunosuppressant medications. Adverse drug events (ADEs) have been strongly associated with nonadherence, health care utilization, and graft loss; clinicians face a difficult decision on whether making immunosuppressant adjustments in the face of ADEs will improve symptomology or simply increase the risk of acute rejection. Clinicians also face a treatment quandary in 50% of kidney transplant recipients with stage 3 or worse chronic kidney disease at 1 year post transplantation, as progressive decline in renal function has been strongly associated with inferior allograft survival.

OBJECTIVE

The primary objective of the CLinical Utility of the omnigrAf biomarkeR Panel In The Care of kidneY Transplant Recipients (CLARITY) trial is to evaluate change in renal function over time in kidney transplant recipients who are undergoing OmniGraf monitoring in conjunction with monitoring of their medication-related symptom burden (MRSB). A secondary objective of this study is to identify the impact of OmniGraf use in conjunction with patient-reported MRSB as part of clinical care on patients' self-efficacy and quality of life.

METHODS

CLARITY is a 3-year prospective, multisite, observational study of 2000 participants with a matched control, measuring the impact of real-time patients' MRSB and the OmniGraf biomarker panel on change in renal function over time. Secondary outcome measures include the Patient-Reported Outcomes Measurement Information System (PROMIS) Self-Efficacy for Managing Chronic Conditions-Managing Medications and Treatment-Short Form 4a; the PROMIS-29 Profile (version 2.1); the PROMIS Depression Scale, hospitalizations-subcategorized for hospitalizations owing to infections; treated rejections, MRSB, and proportion of participants with overall graft survival at year 3 post transplantation; graft loss or death during the 3-year study follow-up period; and change in provider satisfaction.

RESULTS

The primary outcome measure of the study will be a comparison of the slope change in estimated glomerular filtration rate from baseline to the end of follow-up between study participants and a matched control group. Secondary outcome measures include changes over time in PROMIS Self-Efficacy for Managing Chronic Conditions-Managing Medications and Treatment-Short Form 4a, the PROMIS-29 Profile (version 2.1), and PROMIS Depression Scale in the study group, as well as a comparison of hospitalizations and causes, rejections, and graft and patient survival compared between participants and a matched cohort. The anticipated first enrollment in the study is October 2022 with data analysis and publication expected in October 2027.

CONCLUSIONS

Through this report, we describe the study design, methods, and outcome measures that will be utilized in the ongoing CLARITY trial.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05482100; https://clinicaltrials.gov/ct2/show/NCT05482100.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/41020.

The Association between Psychosocial and Age-Related Factors with Adherence to Immunosuppressive Therapies after Renal Transplantation

Renal transplantation (RT) is the optimal renal replacement treatment approach in terms of patient survival and high quality of life. Proper adherence to medication is essential in order to prolong graft life and patient survival. This study aimed to investigate the effects of psychosocial factors and age-related declines on adherence in kidney transplant recipients. Methods: This was a cross-sectional study of kidney transplant recipients, based on regression analysis. Patient adherence was assessed with the Basel Assessment of Adherence with Immunosuppressive Medication Scale (BAASIS). Psychosocial and age-related variables were measured with the World Health Organization’s quality of life questionnaire (WHOQoL-BREF), the Mini-Mental State Examination (MMSE), the Hospital Anxiety and Depression Scale (HADS), the Acceptance of Illness Scale (AIS), and the Tilburg Frailty Indicator (TFI). Results: A simple linear regression model indicated that the significant predictors of self-reported adherence (p < 0.05) were age, time since transplant, and anxiety and cognitive functions. For problems with implementing immunosuppressive medication, logistic regression models showed that gender, age, retirement status, hypercholesterolemia, and cognitive impairment were the most significant predictors (p < 0.05). However, after controlling for other predictors in the multiple regression models, anxiety and cognitive ability no longer predicted treatment adherence to immunosuppressive medication. Conclusions: Renal transplantation is the most effective therapy in chronic renal failure patients. Proper adherence to immunosuppressive therapy is critical to prolonging graft and person survival. Our study shows that occupational status more significantly influences adherence to the implementation of treatment in kidney transplant recipients.

Graft Failure Due to Nonadherence among 150 Prospectively-Followed Kidney Transplant Recipients at 18 Years Post-transplant: Our Results and Review of the Literature

Background: We previously reported that graft failure due to nonadherence (GFNA) was a major cause of graft loss in kidney transplantation. Here, among 150 prospectively-followed kidney transplant recipients at 18 years post-transplant, we provide: updated (longer-term) estimates of cause-specific graft loss probabilities, risk factors for developing GFNA, and detailed characterizations of patients’ overt nonadherent (NA) behavior, including timing, extent, and clinical consequences. Methods: Determination of the patient becoming NA in taking his/her immunosuppressive medications, and the underlying cause of graft loss, were determined prospectively by the attending physicians. For never-functioning-graft, GFNA, GF due to causes other than NA (Other GF), and death with a functioning graft (DWFG), cumulative incidence functions were used to estimate the cumulative probabilities of cause-specific graft loss. Cox stepwise regression was used to determine significant multivariable predictors for the hazard rate of developing GFNA. Results: GFNA was a major cause of graft loss (22/150 patients), particularly among African-American and Hispanic recipients <50 years of age-at-transplant (20/56 experienced GFNA), with estimated percentages of such patients ever developing GFNA ranging between 36.9 and 41.5%. These patients were also at a higher risk of developing Other GF. For the remaining patients (2/94 experienced GFNA), estimated percentages of ever-developing GFNA were much lower (range: 0.0−6.7%). The major cause of graft loss among recipients ≥50 years of age was DWFG; GFNA rarely occurred among older recipients. In 21/22 GFNA patients, NA behavior lasted continuously from the time of developing NA until GFNA. In total, 28/150 patients became NA, and 67.9% (19/28) occurred beyond 36 months post-transplant. A total of 25 of 28 NA patients (89.3%) developed biopsy-proven acute rejection and/or chronic rejection that was directly attributed to the NA behavior. Lastly, 25/28 admitted to NA behavior, with financial and psychological components documented in 71.4% (20/28) and 96.4% (27/28) of NA cases, respectively. Conclusions: These results highlight the importance of performing serial monitoring of patients for overt NA behavior throughout their post-transplant follow-up. Financial and psychological components to NA behavior need to be simultaneously addressed with the goal of achieving complete avoidance/elimination of NA behavior among higher risk patients.

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).

Prospective Measures of Adherence by Questionnaire, Low Immunosuppression and Graft Outcome in Kidney Transplantation

Background: Non-adherence with immunosuppressant medication (MNA) fosters development of de novo donor-specific antibodies (dnDSA), rejection, and graft failure (GF) in kidney transplant recipients (KTRs). However, there is no simple tool to assess MNA, prospectively. The goal was to monitor MNA and analyze its predictive value for dnDSA generation, acute rejection and GF. Methods: We enrolled 301 KTRs in a multicentric French study. MNA was assessed prospectively at 3, 6, 12, and 24 months (M) post-KT, using the Morisky scale. We investigated the association between MNA and occurrence of dnDSA at year 2 post transplantation, using logistic regression models and the association between MNA and rejection or graft failure, using Cox multivariable models. Results: The initial percentage of MNA patients was 17.7%, increasing to 34.6% at 24 months. Nineteen patients (8.4%) developed dnDSA 2 to 3 years after KT. After adjustment for recipient age, HLA sensitization, HLA mismatches, and maintenance treatment, MNA was associated neither with dnDSA occurrence, nor acute rejection. Only cyclosporine use and calcineurin inhibitor (CNI) withdrawal were strongly associated with dnDSA and rejection. With a median follow-up of 8.9 years, GF occurred in 87 patients (29.0%). After adjustment for recipient and donor age, CNI trough level, dnDSA, and rejection, MNA was not associated with GF. The only parameters associated with GF were dnDSA occurrence, and acute rejection. Conclusions: Prospective serial monitoring of MNA using the Morisky scale does not predict dnDSA occurrence, rejection or GF in KTRs. In contrast, cyclosporine and CNI withdrawal induce dnDSA and rejection, which lead to GF.

Benefit of a pharmacist-led intervention for medication management of renal transplant patients: a controlled before-and-after study

Aims

To assess the effect of a pharmacist-led intervention, using Barrows cards method, during the first year after renal transplantation, on patient knowledge about their treatment, medication adherence and exposure to treatment in a French cohort.

Methods

We conducted a before-and-after comparative study between two groups of patients: those who benefited from a complementary pharmacist-led intervention [intervention group (IG), n = 44] versus those who did not [control group (CG), n = 48]. The pharmacist-led intervention consisted of a behavioral and educational interview at the first visit (visit 1). The intervention was assessed 4 months later at the second visit (visit 2), using the following endpoints: treatment knowledge, medication adherence [proportion of days covered (PDC) by immunosuppressive therapy] and tacrolimus exposure.

Results

At visit 2, IG patients achieved a significantly higher knowledge score than CG patients (83.3% versus 72.2%, p = 0.001). We did not find any differences in treatment exposure or medication adherence; however, the intervention tended to reduce the proportion of non-adherent patients with low knowledge scores. Using the PDC by immunosuppressive therapy, we identified 10 non-adherent patients (10.9%) at visit 1 and six at visit 2.

Conclusions

Our intervention showed a positive effect on patient knowledge about their treatment. However, our results did not show any improvement in overall medication adherence, which was likely to be because of the initially high level of adherence in our study population. Nevertheless, the intervention appears to have improved adherence in non-adherent patients with low knowledge scores.

The impact of marijuana use on liver transplant recipients: A 900 patient single center experience

INTRODUCTION

Increased societal prevalence of marijuana continues to challenge liver transplant (LT) programs. This study aimed to examine the potential effects of marijuana use on outcomes.

METHODS

This retrospective study included recipients who underwent LT between 1/2012 and 6/2018. According to pre-LT marijuana use, patients were classified into recent (≤6 months of LT), former (chronic use but not ≤6 months), or non-users. Additionally, the impact of post-LT marijuana use on survival was assessed.

RESULTS

Of 926 eligible patients, 184 were pre-LT marijuana users (42 recent; 142 former) (median follow-up: 30.3 months). Pre-users were more likely to be male, White, and have histories of tobacco, alcohol, and illicit drug use. Additionally, recent users were of higher acuity, with higher MELD and requiring ICU admission. Patient survival at 1-year was 89% in non-users, 94% (HR: 0.494, 95% CI: 0.239-1.022 vs. non-users) in former users, and 83% (HR: 1.516, 95% CI: 0.701-3.282) in recent users. Post-operative complications in pre-LT users and the survival analysis for post-LT marijuana users vs. non-users did not show significance.

CONCLUSIONS

Our results demonstrated that marijuana use did not have an adverse impact on post-LT outcomes; however, further studies utilizing larger cohorts are warranted.

Changes in Beliefs About Post-Transplant Immunosuppressants Over Time and Its Relation to Medication Adherence and Kidney Graft Dysfunction: A Follow-Up Study

PURPOSE

The main aim was to evaluate the changes in beliefs about immunosuppressants over a 3-year period in patients after kidney transplantation. The second aim was to investigate the relationship between beliefs, medication adherence, and selected clinical outcomes such as graft functioning.

PATIENTS AND METHODS

This observational follow-up study was conducted in the outpatient post-transplant clinic at the University Hospital Hradec Kralove in the Czech Republic. Adult patients, at least 4 weeks after kidney transplantation, were invited for the structured interview, which was followed by a self-administered questionnaire survey during their regularly scheduled visits at the clinic. Appropriate paired tests were used to compare two measurements of beliefs about immunosuppressants by BMQ-CZ© in 2016 (baseline) and in 2019 (follow-up). Self-reported adherence was measured by two validated tools (MARS-CZ© and BAASIS©) capturing implementation and discontinuation phases. A generalized linear model was used to investigate the relation between beliefs and the consecutive estimated glomerular filtration rate.

RESULTS

The study involved 134 patients. Over time, their perceived treatment necessity beliefs of immunosuppressants decreased, while their treatment-related concerns increased. Overall self-reported non-adherence (ie, taking, dosing and discontinuation of immunosuppressants) was reported by 12% of the patients in both observation periods. In the follow-up period, timing non-adherence was reported by 52 (38.8%) patients. Higher baseline treatment concerns were associated with poor adherence whereas higher baseline treatment necessity beliefs corresponded with better kidney functioning, even after adjusting for age.

CONCLUSION

Higher treatment necessity beliefs corresponded with better kidney functioning, whereas higher treatment concerns were related to non-adherence to immunosuppressants at the beginning of the observed period. Still, most patients accepted their medicines that do not come without risk. Nevertheless, decreasing treatment necessity beliefs on one hand, and increasing treatment concerns on the other, should be considered in clinical practice.

Multilevel Correlates of Immunosuppressive Nonadherence in Kidney Transplant Patients: The Multicenter ADHERE BRAZIL Study

BACKGROUND

Immunosuppressive nonadherence is a risk factor for worse outcomes after kidney transplantation (KT). Brazil, having the world's largest public, fully covered transplantation system and the second-highest KT volume worldwide, provides a unique setting for studying multilevel correlates of nonadherence (patient, healthcare provider, transplant center, and healthcare system levels) independent of patients' financial burden.

METHODS

By applying a multistage sampling approach, we included 1105 patients from 20 KT centers. Nonadherence to immunosuppressives (implementation phase) was defined as any deviation in taking or timing adherence and dose reduction assessed by the Basel Assessment of Adherence to Immunosuppressive Medications Scale. Based on Bronfenbrenner's ecological model, we assessed multilevel factors using established instruments and measures specifically developed for this study and analyzed their independent contribution to nonadherence by performing sequential logistic regression analysis.

RESULTS

The nonadherence prevalence rate was 39.7%. The following factors were independently associated with nonadherence: Patient level-having a stable partner (odds ratio [OR]: 0.75; confidence interval [CI]: 0.58-0.97), nonadherence to appointments (OR: 2.98; CI: 2.03-4.39), and nonadherence to physical activity recommendations (OR: 1.84; CI: 1.38-2.46); and transplant center level-satisfaction with the waiting room structure (OR: 0.54; CI: 0.42-0.71), consultation >30 minutes (OR: 1.60; CI: 1.19-2.14), adequacy of the consultation frequency (OR: 0.62; CI: 0.43-0.90), and centers with >500 beds (OR: 0.58; CI: 0.46-0.73).

CONCLUSIONS

As the first multicenter study assessing multilevel correlates of nonadherence in KT, our findings point to the need for multilevel interventions beyond the patient level, targeting transplant center practice patterns as an approach to tackle nonadherence.

Medication non-adherence after allogeneic hematopoietic cell transplantation in adult and pediatric recipients: a cross sectional study conducted by the Francophone Society of Bone Marrow Transplantation and Cellular Therapy

Medication non-adherence (NA) after allogeneic hematopoietic cell transplantation (allo-HCT) can lead to serious complications. This study assesses NA in French adult and pediatric recipients and identifies factors associated with NA. In accordance with the EMERGE and STROBE guidelines, a cross sectional multicentric survey was conducted. We used a self-reported questionnaire that was adapted to adults and pediatrics and that could provide a picture of all three phases of medication adherence: initiation, implementation, persistence. We enrolled 242 patients, 203 adults (mean age: 51 years old, 50.7% male) and 39 children (mean age: 9 years old, 56.4% female). Reported NA was estimated at about 75% in both populations, adults and pediatrics. In adults, the univariate analysis showed that patients less than 50 years old (P = 0.041), (i) treated with cyclosporine (P = 0.02), (ii) treated with valacyclovir/acyclovir (P = 0.016), and (iii) experiencing side effects (P = 0.009), were significantly more non-adherent. In multivariate analysis, only recipient age was significantly associated to NA (P = 0.05). The limited size of the pediatric population did not allow us to draw any statistical conclusion about this population. To the best of our knowledge, this is the first study in France on NA in allo-HCT recipients. Our results highlight the age factor as the only factor related to NA. Further studies are needed to confirm our observations and refine results in pediatric populations, currently most at risk of medication NA.

Adherence profiles in kidney transplant patients: Causes and consequences

OBJECTIVE

Adherence is a dynamic phenomenon and a critical determinant of transplant patients outcome. The objective of this longitudinal study was to explore adherence in kidney transplant patients followed-up for up to three years after transplantation.

METHODS

Adherence was repeatedly estimated using the Morisky-Green-Levine 4-Item Medication Adherence Scale, in two successive cohorts of 345 (EPIGREN) and 367 (EPHEGREN) kidney transplant recipients. Mixed effect modeling with latent processes and latent classes was used to describe adherence time-profiles.

RESULTS

Two latent classes were identified. The adherent class represented 85% of the patients. Patients of the poorer-adherence class displayed a lower adherence at one month (p<10^-3), which worsened over time. Good adherence was associated with age >50 years, fewer depression episodes (5% vs. 13%, p = 0.001) and a better mental health component of quality of life (MCS-SF36 47 ± 11 vs. 41 ± 13, p = 0.015). Survival without acute rejection episodes was longer in the adherent class (p = 0.004).

CONCLUSIONS

The risk of poor adherence in renal transplant patients can be detected as early as one month post-transplantation, using appropriate and easy tools adapted to routine monitoring.

PRACTICE IMPLICATIONS

An early focus on vulnerable patients should allow putting into place actions in order to reduce the risk of poor outcome related to poor adherence.

[Renal transplantation: Procedure and early follow-up]

More than fifty years after the success of the two first renal transplantations in Boston and in Necker hospital in Paris, renal transplantation became the treatment of choice of end stage renal failure, because it improves not only the quality of life of the patients but also their long-term survival. In France, more than 3,700 kidney transplantations are performed every year and more than 40,000 patients are living with a functioning kidney allograft. This treatment of end stage renal disease requires a fine-tuned pre-transplant evaluation and a multidisciplinary post-transplant care in order to prevent, to detect and to treat comorbidities and complications of immunosuppression. The ambition of this manuscript is not to describe in an exhaustive way all the aspects of renal transplantation but starting from the experience of a team, recently published data, and national and international guidelines, to try to provide a synthetic and chronological view of the early post-transplant monitoring.

Medication non-adherence after kidney transplantation: A critical appraisal and systematic review

Medication non-adherence is one of the most important causes for shortened graft survival subsequently leading to a reduction in kidney graft survival results. Our aim was to provide an overview of its prevalence, risk factors, diagnostic methods and interventions to improve adherence in kidney transplant recipients. Therefore, we systematically searched the databases PubMed, COCHRANE Library, Web of Science and EMBASE for studies addressing "medication adherence", "compliance", "adherence", "kidney transplantation" and "life style factors". We identified 96 studies that satisfied our inclusion criteria. A problematic lack of a uniformly accepted definition for non-adherence was found, consequently leading to a wide range in non-adherence prevalence (36-55%). Using one uniformly accepted non-adherence definition should therefore be encouraged. A wide range in diagnostic methods makes it difficult to accurately detect non-adherence. Heterogeneous results of intervention studies make it difficult to select the best adherence enhancing method, challenging the battle against medication non-adherence. Literature suggests a combination of personalized interventions, based on patient-specific non-adherent behavior, to be most successful in improvement of adherence. High quality diagnostic methods and multidisciplinary, personalized interventions with focus on relevant clinical outcome are essential in overcoming medication non-adherence in kidney transplant recipients.

Marijuana Consumption in Liver Transplant Recipients

Marijuana is legalized for either medical or recreational use in over half of the states in the United States and in Canada, but many transplant centers will not list patients who are using marijuana. However, the effect of marijuana on transplant outcomes remains unclear. Thus, we performed a retrospective analysis of all adult (≥18 years old) liver transplant patients treated at our center between 2007 and 2017. Patients were grouped according to their marijuana use and tobacco smoking status. We also evaluated tobacco smoking status for the comparative evaluation. Posttransplant morbidity, mortality, and graft survival were evaluated. In total, 316 patients were included: 171 (54%) patients were tobacco smokers (70 current; 101 former), 81 (26%) patients were marijuana smokers (13 current; 68 former), and 64 (20#x0025;) patients were both marijuana and tobacco smokers. A total of 136 (43%) reported never smoking marijuana or tobacco. After adjustment, current tobacco users were over 3 times as likely to die within 5 years compared with never users (hazard ratio [HR], 3.25; 95% confidence interval [CI], 1.63-6.46; P < 0.001), but no difference was seen between current/former and never marijuana users (HR, 0.52; 95% CI, 0.26-1.04; P = 0.06). No significant differences in inpatient respiratory complications, reintubation, or >24-hour intubation was seen. Overall, pretransplant marijuana use, past or current, does not appear to impact liver transplant outcomes, though tobacco smoking remains detrimental.

Correlation of long-term medication behaviour self-efficacy with social support and medication knowledge of kidney transplant recipients

Aim

This study aimed to explore the correlation of long-term medication behaviour self-efficacy with social support and medication knowledge of kidney transplant recipients.

Methods

A convenient sample of kidney transplant recipients in a general hospital in Guangzhou was recruited from November 2016 to January 2017. Self-reported survey data were provided by the kidney transplant recipients using long-term medication behaviour self-efficacy scale (LTMBSES), perceived social support scale (PSSS) and scale for patient-perceived medication knowledge in medication usage. Descriptive statistics and Spearman's correlation analysis were used for data analysis.

Results

A total of 195 kidney transplant recipients (132 men and 63 women) were recruited for this study. The mean scores of all LTMBSES dimensions, namely personal attitudes, environmental and task-related and behavioural factors, were 32.49 ± 4.34, 60.90 ± 7.56 and 32.32 ± 4.40, respectively. The mean scores of three PSSS dimensions, namely, family, friends and significant others, were 24.91 ± 3.42, 22.71 ± 4.66 and 22.15 ± 4.26, correspondingly. The mean scores of two five-item knowledge subscale dimensions, namely, general and interaction knowledge, were 9.56 ± 1.07 and 13.02 ± 2.67, respectively. Spearman's correlation analysis showed that social support (r_s = 0.232, P < 0.01) and medication knowledge (r_s = 0.352, P < 0.01) were positively associated with long-term medication self-efficacy in the kidney transplant recipients.

Conclusion

The levels of long-term medication self-efficacy, perceived social support and medication knowledge of the kidney transplant recipients were high. Social support and medication knowledge were correlated with self-efficacy.

Adherence to and Acceptance of Once-Daily Tacrolimus After Kidney and Liver Transplant: Results From OSIRIS, a French Observational Study

BACKGROUND

Adherence to immunosuppressive treatments is a major concern in transplanted patients.

METHODS

This 6-month French observational, longitudinal, prospective study aimed to assess patient adherence to and acceptance of once-daily tacrolimus (Advagraf) initiation in kidney and liver transplant recipients. Data from 1106 patients initiating once-daily tacrolimus during posttransplant follow-up were analyzed. Adherence and acceptance were assessed using self-administered questionnaires at inclusion and at 3 and 6 months.

RESULTS

Mean age was 52.4 ± 13.2 years, 61.5% were men. For 94.9% of patients, once-daily tacrolimus was prescribed after switching from twice-daily tacrolimus. At inclusion, 20.9% of patients reported good treatment adherence, 72.0% minor nonadherence, and 7.1% were nonadherent. Mean general acceptance score (range, 0-100) was 77.7 (±24.7). At 3 months, adherence was improved in 21.1%, unchanged in 69.2%, and worsened in 9.7% of patients. Mean general acceptance score was 75.4 (±26.5). General acceptance score was improved in 28.0%, unchanged in 39.4%, and worsened in 32.7% of patients. At 6 months, similar changes in adherence and acceptance were observed. Higher general acceptance score at month 3 was significantly associated with better adherence at month 6.

CONCLUSIONS

Conversion to once-daily tacrolimus led to an improved rate of adherence at month 3 in more than 20% of patients and a worsened rate of adherence in less than 10% of patients.

[Description of immunosuppressive maintenance treatments post kidney transplant through the National System of Health Insurance]

The aim of this study was to describe the drug dispensing of maintenance immunosuppression treatment in 2014 for patients who received a kidney transplant in 2012, based on the data of the French national health insurance and to compare those results with the information collected in the national database for kidney recipients. For each patient, are considered all drugs dispensing with their dates of issue, the molecules and their presentations (number of pills and dosage). Among 2463 transplanted adults in 2012, 73% have received tacrolimus monohydrate, 59% mycophenolate mofetil, 54% prednisone and 20% cyclosporin in 2014. The daily doses but not the number of tablets per day declined with age. The most frequent association was tacrolimus monohydrate-mycophenolate mofetil-steroids in 34% of the cases. The use of mTOR inhibitors, rare generally (7%), is more common in patients aged 66-85 years. Associations did not differ significantly according to diabetic status, for patients with a kidney from an elderly donor or according to the number of mismatch. The daily doses estimated from the deliverance in pharmacy are respectively similar, understated and over-estimate for tacrolimus, mycophenolate mofetil and cyclosporin compared to the national database. This study confirms the difficulty of apprehending drug consumption based only on dispensing in pharmacies or punctual recording even if it allows a fairly comprehensive view of French practices.

Posttransplant Medical Adherence: What Have We Learned and Can We Do Better?

Purpose of review

Non-adherence to the medical regimen after kidney transplantation can contribute to poor clinical outcomes, and strategies to maximize adherence are sought by care providers and patients alike. We assessed recent evidence on prevalence, risk factors, and clinical outcomes associated with non-adherence to the medical regimen after kidney transplantation. We summarized recent clinical trials testing interventions to improve adherence and generated recommendations for future research and clinical practice.

Recent findings

A large evidence base documents rates of non-adherence to each of the multiple components of the regimen, including medication-taking, lifestyle activities, clinical care requirements, and substance use restrictions. Some risk factors for non-adherence are well known but the full range of risk factors remains unclear. Non-adherence to immunosuppressants and to other components of the regimen increases morbidity and mortality risks. Recent interventions, including education and counseling; electronic health strategies; and medication dose modifications, show promise for reducing immunosuppressant non-adherence. However, most of these interventions would be difficult to deploy in everyday clinical practice. Systematic dissemination of efficacious interventions into clinical practice has not been undertaken.

Summary

Rates and risk factors for non-adherence to the medical regimen have been examined and there is evidence that non-adherence may be ameliorated by a range of interventions. Although gaps in the evidence base remain, it would be timely to devote greater efforts to dissemination of findings. Thus, efforts are needed to assist transplant programs in using existing evidence to better identify patients who are non-adherent and to design and implement strategies to reduce or prevent non-adherence.

[Clinical pharmacist and medication reconciliation in kidney transplantation]

INTRODUCTION

Drug related problems (DRP) can lead to severe consequences in kidney recipients. The aim of the study was to assess the impact of the clinical pharmacist interventions on the incidence of DRP.

METHOD

The number of DRP were evaluated according to 3periods: Without intervention, with medication reconciliation at admission, and with medication reconciliation at admission associated with an interview with the clinical pharmacist at discharge.

RESULTS

Patients concerned were mainly men, 55years old (median age), stage3 of CKD, transplanted for less than 3months or more than 1year, with cardiovascular risk factors and receiving an average of 9drugs/day. Among the DRP, 20% were avoidable and severe in most cases. In period1, 27.7% patients had at least 1DRP, in period2, 21.3% patients had at least 1DRP, and in period3, 17.4% of patients had at least 1DRP (P=0.03). One hundred and ten patients had medication reconciliation at admission with a mean of 0.6unintentional discrepancies per patient (omission in 81% of cases). The main drugs involved concerned the digestive-metabolic (24.5%), cardiovascular (23%), and nervous (23%) system. Sixty-eight interviews at discharge were realized and revealed self-medication habits.

CONCLUSION

Our study shows that medication reconciliation at admission associated with an interview with the clinical pharmacist at discharge can help to reduce DRP in kidney recipients. Further studies are needed to confirm our results.

The prevalence, risk factors, and outcomes of medication trade-offs in kidney and liver transplant recipients: a pilot study

High out-of-pocket medication costs negatively impact adherence in transplantation. We evaluated the association of "medication trade-offs"-defined as choosing to spend money on other expenses over medications-with medication nonadherence and transplant outcomes. From 2011 to 2012, we performed a prospective study of 201 transplanted recipients (n = 103 liver, n = 98 kidney and) at two large US transplant centers. Structured interviews assessed socio-demographics, medication adherence, and medication trade-offs. Multivariable models assessing risk factors for medications trade-offs and the association between medications trade-offs and post-transplant hospital admissions were performed. A total of 17% of patients reported medication trade-offs; the most common trade-offs were inability to afford a prescription in the past 12 months and making choices between prescriptions and food. In multivariable analysis, insurance type (RR: 2.97, 95% CI: 1.19-7.40), limited health literacy (RR: 2.64, 95% CI: 1.23-5.64), and ≥3 comorbid conditions (RR: 2.48, 95% CI: 1.09-5.62; all P < 0.05) were associated with trade-offs. Patients with trade-offs were more likely to report nonadherence to medications (mean adherence: 77 ± 23% with trade-offs vs. 89 ± 19% without trade-offs, P < 0.01). The presence of medication trade-offs was associated with post-transplant hospital admissions (RR 1.64, 95% CI 1.14-2.35, P < 0.01). Assessments of financial barriers are warranted in clinical practice to identify nonadherence and improve post-transplant outcomes.

Factors relevant to medication non-adherence in kidney transplant: a systematic review

Background Medication non-adherence is a major issue after transplant that can lead to misdiagnosis, rejection, poor health affecting quality of life, graft loss or death. Several estimations of adherence and related factors have previously been described but conclusions leave doubt as to the most accurate assessment method. Aim of the review To identify the factors most relevant to medication non-adherence in kidney transplant in current clinical practice. Method This systematic review is registered in the PROSPERO data base and follows the Prisma checklist. Articles in English in three databases from January 2009 to December 2014 were analysed. A synthesis was made to target adherence assessment methods, their prevalence and significance. Results Thirty-seven studies were analysed rates of non-adherence fluctuating from 1.6 to 96%. Assessment methods varied from one study to another, although self-reports were mainly used. It appears that youth (≤50 years old), male, low social support, unemployment, low education, ≥3 months post graft, living donor, ≥6 comorbidities, ≥5 drugs/d, ≥2 intakes/d, negative beliefs, negative behavior, depression and anxiety were the factors significantly related to non-adherence. Conclusion As there are no established guidelines, consideration should be given to more than one approach to identify medication non-adherence although self-reports should remain the cornerstone of adherence assessment.

[Adherence to treatment after kidney transplantation as quality indicator of the information received: Longitudinal study of 2 years follow-up]

INTRODUCTION

Transplantation is an optimal form of treatment for end-stage renal disease, but requires lifelong adherence to immunosuppressive therapy. The aim of this study was to longitudinally assess the adherence to treatment after kidney transplant, as well as to compare the amount of information about the treatment received at one month and 18 months post-transplantation, and its influence on adherence to treatment.

MATERIAL AND METHODS

The Self-Reported Measure of Medication Adherence was administered at month (T1), 6 months (T2), 12 months (T3), 18 months (T4), and 24 months (T5) post-transplantation. Survey about aspects of knowledge and attitudes about medication, was administered at one month and 18 months post-transplant. Measures of central tendency and non-parametric tests were used to compare the data.

RESULTS

The study included a total of 73 patients with a median age of 57 years. The percentage of patients non-adherent to medication was 9.6% (T1), 22.5% (T2), 29.2% (T3), 29.8% (T4), and 28.1% (T5). One month after transplantation "not consulting with the doctor on forgetting to take medication (P=.034) significantly influenced the non-adherence to treatment. At 18 months post- transplantation, none of the issues raised on medication knowledge had an influence on non-adherence to treatment.

CONCLUSIONS

Longer times since transplantation increased the non-adherence to treatment. Some issues regarding the information of treatment influenced the non-adherence in the immediate transplant period, but not in the follow-up.

Profiling immunologic risk for acute rejection in liver transplantation: Recipient age is an important risk factor

BACKGROUND

Careful management of induction and maintenance of immunosuppression is paramount to prevent acute rejection in liver transplantation. A methodical analysis of risk factors for acute cellular rejection may provide a more comprehensive method to profile the immunologic risk of candidates.

METHODS

Using registry data from the Organ Procurement and Transplantation Network (OPTN), we identified 42,508 adult recipients who underwent orthotopic liver transplant (OLT) between 2002 and 2013. We excluded recipients with a blank entry for treated rejection. We analyzed this all inclusive cohort in addition to a subset of 27,493 patients with just tacrolimus immunosuppression. Multivariate logistic regression was used on both cohorts and identified independent risk factors for treated acute rejection at one year.

RESULTS

Recipient age (reference group was 40 to 60years) was a dominant risk factor for rejection in both cohorts and had a dose response relationship. The strongest risk factors in the inclusive cohort were: age 18-25 (OR 2.20), age 26-29 (OR 2.03), and primary biliary cholangitis (OR 1.55). The most protective factors were age 70 and older (OR 0.68), and age 65-69 (OR 0.70). The rates of rejection had a similar pattern.

CONCLUSIONS

Although prior studies have suggested age as a risk factor for rejection in liver transplantation, this is the first study of national-level data to demonstrate a robust dose dependent relationship between age and risk for rejection at one year. Clinicians should place significant weight on recipient age when they assess their recipients for the immunologic risk of rejection.

Multilevel Correlates of Non-Adherence in Kidney Transplant Patients Benefitting from Full Cost Coverage for Immunosuppressives: A Cross-Sectional Study

BACKGROUND

Adherence is the result of the interaction of the macro, meso, micro, and patient level factors. The macro level includes full coverage of immunosuppressive medications as is the case in Brazil. We studied the correlates of immunosuppressive non-adherence in post kidney transplant patients in the Brazilian health care system.

METHODS

Using a cross-sectional design, adherence to immunosuppressives was assessed in a sample of 100 kidney transplant patients using a composite non-adherence score consisting of three methods (self-report [i.e., The Basel Adherence Scale for Assessment of Immunossupressives-BAASIS], collateral report, and immunosuppressive blood levels). Multilevel correlations of non-adherence were assessed (macro, meso, micro and patient level). Univariate and multivariate logistic regression was applied to assess the correlates of non-adherence.

RESULTS

Our sample consisted primarily of male (65%), Caucasians (72%) with a mean age of 45.0 ± 13.5 years old, who received grafts from a living donor (89%), with a mean time after transplantation of 72.3 ± 44.4 months. Prevalence of non-adherence was 51%. Family income higher than five reference wages (21.6 vs. 4%; OR 6.46 [1.35-30.89], p = 0.009; patient level), and having access to private health insurance (35.3% vs. 18.4%; OR 2.42 [0.96-6.10], p = 0.04; meso level) were associated with non-adherence in univariate analysis. Only the higher family income variable was retained in the multiple logistic regression model (OR 5.0; IC: 1.01-25.14; p = 0.04).

CONCLUSIONS

Higher family income was the only factor that was associated with immunosuppressive non-adherence. In Brazil, lower income recipients benefit from better access to care and coverage of health care costs after transplantation. This is supposed to result in a better immunosuppressive adherence compared to high-income patients who have experienced these benefits continuously.

Adherence to immunosuppressor medication in renal transplanted patients

Non-adherence is a priority public health concern. Non-adherence means not taking medications, missing medications, taking too much, not taking enough, wrong timing, wrong dose and/or wrong pill, but may also refer to missing appointments, not booking appointments, not doing blood work, not returning calls and/or refusal to follow the treatment regimen. In renal transplantation, adherence to immunosuppressive medication is a fundamental requisite in order to preserve graft function, since non-adherence is one of the main causes for late acute rejection, incomplete recovery after rejection treatment, chronic graft dysfunction, graft loss, and death. Transplantation failure due to treatment non-adherence is economically, socially, ethically and morally unjustifiable. This is a very prevalent issue: in some studies, its incidence is as high as 70% of patients. The self-reported nonadherence levels found in certain studies, including those performed immediately after transplantation show the need for early and continued intervention after kidney transplantation in order to maximise adherence and consequently clinical outcomes. There is not a single method to assess non adherence, thus combining several measures increases diagnostic accuracy. Electronic monitoring with a microdevice that records each time a pill bottle is opened is considered the “gold standard” for measuring adherence, but self-report at a confidential interview was the best measure of adherence. Thus non-adherence risk can be effectively assessed using clinically available assessment tools. Medication Adherence Scale, Brief Medical Questionnaire, Immunosuppressant Therapy Adherence Scale, Immunosuppressant Therapy Barrier Scale, Long-Term Medication Behavior Self-Efficacy Scale and Simplified Medication Adherence Questionnaire are some of the self-reported questionnaires. There are multiple factors associated with non-adherence in immunosuppressant therapy: Younger patients (adolescent, especially), poor health coverage, poor social support, unmarried, no family, non-Caucasian, immigrant, lower income, lower socioeconomic class, greater parental distress and lower family cohesion; complex medical regimens, higher number of drugs, longer time after transplant, toxicity, side effects, poor tolerance to medication, higher number of physicians involved, poor provider-patient rapport; psychological (dependency, high levels of anxiety and hostility, poorer behavioral functioning and greater distress in children) and psychiatric (depression) illnesses, low self-efficacy with medicine intake, perception of immunosuppressive therapy as not been necessary to preserve kidney function, forgetfulness, rebelliousness, poor perception of health, poor satisfaction, low Health-related Quality of life, addictions, lack of coping strategies and avoidance behavior; patient morbidity: comorbidity, receiving a transplant from a live donor, retransplantation, and non-insulin-dependent diabetes. The most frequent strategies to promote medication-taking must focus on modifiable risk factors. Reasons for non-adherence are complex and diverse and any successful intervention aimed at improving adherence must be multidimensional. Although effective intervention strategies are needed to improve immunosuppressant therapy adherence, few intervention studies have been conducted in the adult renal transplant population. In this study, we perform an exhaustive review of the different strategies reported in the literature. A number of key reasons for non-adherence are also provided.

Adherence in Adolescent and Young Adult Kidney Transplant Recipients

Poor adherence to immunosuppressive medications may be the most important barrier to long term graft survival. An understanding of medication adherence and its determinants is critical to addressing this important problem. In this paper, we will review the different ways in which adherence may be compromised, summarize the evidence that young people constitute a particularly high risk group, and consider the consequences and impact of poor adherence. We will also review the determinants of adherence, including characteristics of the patient and family, the treatment regimen, the healthcare team and its organization, and the healthcare system. We will highlight the most common barriers to adherence identified by young people, and consider different methods of measuring adherence, along with the advantages and limitations of each. Finally, we will consider possible intervention strategies to improve adherence in young people.

Graft failure due to noncompliance among 628 kidney transplant recipients with long-term follow-up: a single-center observational study

BACKGROUND

In adult kidney transplantation, there is no clear consensus on the incidence of graft failure-due-to noncompliance (GFNC), with some reporting it as relatively uncommon and others as a major cause of late graft failure. We suspected that GFNC was a major cause of late graft loss at our center but did not know the extent of this problem.

METHODS

In our prospectively followed cohort of 628 adult, primary kidney-alone transplant recipients with long-term follow-up, GFNC and other graft loss causes were determined from our ongoing clinical evaluations. Using competing risks methodology, we determined the overall percentage of patients developing GFNC and the significant prognostic factors for its hazard rate and cumulative incidence (via Cox regression).

RESULTS

Cumulative incidence estimates (± standard error) of GFNC (n=29), GF-with-compliance (n=46), receiving a never-functioning graft (n=7), and death-with-a-functioning-graft (n=53) at 101 months after transplant (last-observed-graft loss) were as follows: 9.8%± 2.4%, 10.9%± 1.7%, 1.1%± 0.4%, and 13.0%± 1.9%, respectively. Only three patients experienced GFNC during the first 24 months; GFNC represented 48.1% (26/54) of death-censored GFs beyond 24 months. Two baseline variables were jointly associated with a significantly higher GFNC hazard and cumulative incidence: younger recipient age (P<0.000001 each) and non-white recipient (P=0.004 and P=0.02). Estimated percentages of ever developing GFNC were 28.4%± 6.5% among 79 non-whites younger than 35 years versus 0.0% (0/144) among whites 50 years or older. Among 302 recipients younger than 50 years, 18.1%± 4.1% developed GFNC, representing 67.6% (25/37) of its death-censored graft failures observed beyond 24 months after transplant.

CONCLUSIONS

GFNC is a major cause of late GF at our center, with younger and non-white recipients at a significantly greater GFNC risk. Interventional approaches to eliminate GFNC could dramatically improve long-term kidney graft survival.

Adherence in patients in the first year after kidney transplantation and its impact on graft loss and mortality: a cross-sectional and prospective study

AIMS

To explore the predictive value of adherence to their immunosuppressive medication in kidney transplant recipients in the first year after kidney transplantation as a determinant of graft loss and mortality up to 12 years (prospective analysis) and its association with sociodemographic and medical factors and social support (cross-sectional analysis).

BACKGROUND

Poor adherence to their immunosuppressive medication in kidney transplant recipients remains the leading preventable cause of poor patient outcomes.

DESIGN

Prospective and cross-sectional study.

METHODS

At baseline, 325 patients 3-12 months posttransplantation were invited to participate. Adherence was assessed using collateral reports - a combination of patients' self-evaluation and an estimate by their nephrologist. The patients provided sociodemographic and medical data and completed the End-Stage Renal Disease Symptom Checklist and Multidimensional scale of perceived social support. At follow-up (average 7·1 years), data on patients and graft survival were obtained. All data were collected from 2002-2013. Multinomial regression analysis and Cox regression were performed.

RESULTS

A total of 297 patients (48·1 (12·8) years, 61·6% men) agreed to participate (response rate 91·4%); 67·4% were considered as fully adherent. Poor adherence was associated with higher risk of graft loss and mortality over 12 years. Female sex, higher education, higher perceived side effects of corticosteroids, better perceived cardiac and renal function and higher perceived family social support in the first year posttransplantation were associated with full adherence to immunosuppressive treatment.

CONCLUSIONS

Patients with poor adherence to the immunosuppressive medication in the first year after kidney transplantation showed increased likelihood of graft loss and death over 12 years compared with the adherent patients.

Describing the evolution of medication nonadherence from pretransplant until 3 years post-transplant and determining pretransplant medication nonadherence as risk factor for post-transplant nonadherence to immunosuppressives: the Swiss Transplant Cohort Study

Although medication nonadherence (MNA) is a major risk factor for poor outcomes, the evolution of MNA from pre- to 3 years post-transplant among the four major organ transplant groups remains unknown. Therefore, this study described this evolution and investigated whether pretransplant MNA predicts post-transplant immunosuppressive medication nonadherence (IMNA). Adult participants (single transplant, pretransplant and ≤1 post-transplant assessment, using medications pretransplant) in the Swiss Transplant Cohort Study (a prospective nation-wide cohort study) were included. Nonadherence, defined as any deviation from dosing schedule, was assessed using two self-report questions pretransplant and at 6, 12, 24 and 36 months post-transplant. Nonadherence patterns were modelled using generalized estimating equations. The sample included 1505 patients (average age: 52.5 years (SD: 13.1); 36.3% females; 924 renal, 274 liver, 181 lung, 126 heart). The magnitude and variability of self-reported MNA decreased significantly from pretransplant to 6 months post-transplant (OR = 0.21; 95% CI: 0.16-0.27). Post-transplant IMNA increased continuously from 6 months to 3 years post-transplant (OR = 2.75; 95% CI: 1.97-3.85). Pretransplant MNA was associated with threefold higher odds of post-transplant IMNA (OR = 3.10; 95% CI: 2.29-4.21). As pretransplant MNA predicted post-transplant IMNA and a continuous increase in post-transplant IMNA was observed, early adherence-supporting interventions are indispensible.