The Swiss Transplant Cohort Study's Framework for Assessing Lifelong Psychosocial Factors in Solid-Organ Transplants

Application of artificial intelligence and machine learning in lung transplantation: a comprehensive review

Lung transplantation (LTx) is an effective method for treating end-stage lung disease. The management of lung transplant recipients is a complex, multi-stage process that involves preoperative, intraoperative, and postoperative phases, integrating multidimensional data such as demographics, clinical data, pathology, imaging, and omics. Artificial intelligence (AI) and machine learning (ML) excel in handling such complex data and contribute to preoperative assessment and postoperative management of LTx, including the optimization of organ allocation, assessment of donor suitability, prediction of patient and graft survival, evaluation of quality of life, and early identification of complications, thereby enhancing the personalization of clinical decision-making. However, these technologies face numerous challenges in real-world clinical applications, such as the quality and reliability of datasets, model interpretability, physicians' trust in the technology, and legal and ethical issues. These problems require further research and resolution so that AI and ML can more effectively enhance the success rate of LTx and improve patients' quality of life.

Nonadherence to Immunosuppressant Therapy of Kidney Transplant Candidate Patients: External Validation of the KATITA-25 Scale

BACKGROUND

The self-administered Kidney AlloTransplant Immunosuppressive Therapy Adherence (KATITA-25) questionnaire is a multidimensional scale for use in the pretransplant setting that evaluates the predisposition to nonadherence of patients who are candidates to kidney transplant. The scale has shown adequate internal consistency and test-retest reliability. This study presents the results of an external validation study of the KATITA-25 scale.

METHODS

Patients >18 y old scheduled for kidney transplant were included in this multicenter study. The KATITA-25 scale was administered before surgery and then at 3-mo posttransplantation for evaluation of scale sensitivity to change. At this time, 2 validated medication adherence scales were applied for assessment of concurrent validity. For evaluation of predictive validity, nonadherence to immunosuppressive medication was assessed at 6 and 12 mo after transplantation by 3 independent methods: patient self-report of nonadherence using the Morisky-Green-Levine Medication Assessment Questionnaire scale, serum trough levels of immunosuppressants, and pharmacy refills.

RESULTS

Three twenty-two patients were available for evaluation of concurrent validity and 311 patients of predictive validity. After kidney transplant, the median KATITA-25 score decreased from 20 to 8 ( P  < 0.001), demonstrating scale sensitivity to change, and the KATITA-25 score showed correlation with the Basel Assessment of Adherence to Immunosuppressive Medication Scale score (Spearman's ρ 0.18, P  = 0.002) and the Cuestionario para la Evaluación de la Adhesión al Tratamiento Antiretroviral scores (ρ -0.17, P  = 0.002), confirming concurrent validity. The nonadherence rate was 57.6%. The scale predictive validity was demonstrated by the area under the receiver operating characteristics curve (0.68), sensitivity (59.8%), specificity (68.2%), and positive predictive value (71.8%).

CONCLUSIONS

This external validation study of KATITA-25 scale provided evidence of sensitivity to change, and structural, criterion, and predictive validity.

Reexamining "psychosocial clearance": A procedural framework for psychosocial evaluation in liver transplantation

Psychosocial and "nonmedical" phenomena are commonly encountered in liver transplantation (LT) evaluations. They are simultaneously crucial decision-making factors and some of the most difficult and controversial clinical matters clinicians confront. Epidemiology, societal trends, and the preponderance of psychological and behavioral factors underpinning common end-stage liver diseases ensure that LT teams will continue to encounter highly complex psychosocial patient presentations. Psychosocial policies, practices, and opinions vary widely among clinicians and LT centers. Liver clinicians already report insufficient psychosocial expertise, which creates a large gap between the stark need for psychosocial expansion, improvement, and innovation in LT and the lack of accompanying guidance on how to achieve it. While the clinical domains of an LT psychosocial evaluation have been well-described, few articles analyze the procedures by which teams determine candidates' "psychosocial clearance" and no conceptual frameworks exist. This article proposes a framework of core domains of psychosocial evaluation procedures, common pitfalls, and practical improvement strategies.

Psychometric Properties of the BAASIS: A Meta-analysis of Individual Participant Data

BACKGROUND

Nonadherence to immunosuppressives, a risk factor for poor posttransplant outcomes, can be assessed by self-report using the Basel Assessment of Adherence to Immunosuppressive Medications Scale (BAASIS). Available in written and interview versions, and previously validated on content, the BAASIS is widely used in research and clinical practice. The aim of this study was to investigate its psychometric properties.

METHODS

Using a literature search and our BAASIS database, this meta-analysis identified completed studies in adult transplant recipients whose data were usable to examine the BAASIS' reliability and 3 validity aspects: (1) relationships with other variables (electronic monitoring, other self-report scales, tacrolimus blood-level variability, collateral report, depressive symptoms, psycho-behavioral constructs, and interventions); (2) response processes; and (3) internal structure. Testing used random-effects logistic regressions.

RESULTS

Our sample included 12 109 graft recipients from 26 studies. Of these 26, a total of 20 provided individual participant data. Evidence of the BAASIS' stability over time supports its reliability. Validity testing of relationships with other variables showed that BAASIS-assessed nonadherence was significantly associated with the selected variables: electronically monitored nonadherence ( P < 0.03), other self- and collaterally-reported nonadherence ( P < 0.001), higher variability in tacrolimus concentrations ( P = 0.02), higher barriers ( P < 0.001), lower self-efficacy ( P < 0.001), lower intention ( P < 0.001), and higher worries ( P = 0.02). Nonadherence also decreased after regimen change interventions ( P = 0.03). Response process evaluation indicated good readability and slightly higher nonadherence with the written version. Structurally, items on taking and timing shared variability.

CONCLUSIONS

The BAASIS shows good validity and reliability as a self-report instrument to assess medication nonadherence in transplantation.

Clinical prediction model for prognosis in kidney transplant recipients (KIDMO): study protocol

BACKGROUND

Many potential prognostic factors for predicting kidney transplantation outcomes have been identified. However, in Switzerland, no widely accepted prognostic model or risk score for transplantation outcomes is being routinely used in clinical practice yet. We aim to develop three prediction models for the prognosis of graft survival, quality of life, and graft function following transplantation in Switzerland.

METHODS

The clinical kidney prediction models (KIDMO) are developed with data from a national multi-center cohort study (Swiss Transplant Cohort Study; STCS) and the Swiss Organ Allocation System (SOAS). The primary outcome is the kidney graft survival (with death of recipient as competing risk); the secondary outcomes are the quality of life (patient-reported health status) at 12 months and estimated glomerular filtration rate (eGFR) slope. Organ donor, transplantation, and recipient-related clinical information will be used as predictors at the time of organ allocation. We will use a Fine & Gray subdistribution model and linear mixed-effects models for the primary and the two secondary outcomes, respectively. Model optimism, calibration, discrimination, and heterogeneity between transplant centres will be assessed using bootstrapping, internal-external cross-validation, and methods from meta-analysis.

DISCUSSION

Thorough evaluation of the existing risk scores for the kidney graft survival or patient-reported outcomes has been lacking in the Swiss transplant setting. In order to be useful in clinical practice, a prognostic score needs to be valid, reliable, clinically relevant, and preferably integrated into the decision-making process to improve long-term patient outcomes and support informed decisions for clinicians and their patients. The state-of-the-art methodology by taking into account competing risks and variable selection using expert knowledge is applied to data from a nationwide prospective multi-center cohort study. Ideally, healthcare providers together with patients can predetermine the risk they are willing to accept from a deceased-donor kidney, with graft survival, quality of life, and graft function estimates available for their consideration.

STUDY REGISTRATION

Open Science Framework ID: z6mvj.

Active coping, resilience, post-traumatic growth, and psychiatric symptoms among early and late liver transplant survivors

Understanding survivorship experiences at different stages postliver transplantation (poat-LT) is essential to improving care. Patient-reported concepts including coping, resilience, post-traumatic growth (PTG), and anxiety/depression, have been implicated as important predictors of quality of life and health behaviors after LT. We aimed to descriptively characterize these concepts at different post-LT survivorship stages. This cross-sectional study featured self-reported surveys measuring sociodemographic, clinical characteristics, and patient-reported concepts including coping, resilience, PTG, anxiety, and depression. Survivorship periods were categorized as early (1 y or below), mid (1-5 y), late (5-10 y), and advanced (10 y or above). Univariable and multivariable logistic and linear regression modeling examined factors associated with patient-reported concepts. Among 191 adult LT survivors, the median survivorship stage was 7.7 years (interquartile range: 3.1-14.4) and median age was 63 years (range: 28-83); most were male (64.2%) and Caucasian (84.0%). High PTG was more prevalent in the early survivorship period (85.0%) than late survivorship (15.2%). High trait resilience was only reported by 33% of survivors and associated with higher income. Lower resilience was seen among patients with longer LT hospitalization stays and late survivorship stages. About 25% of survivors had clinically significant anxiety and depression, which was more frequent among early survivors and females with pre-LT mental health disorders. In multivariable analysis, factors associated with lower active coping included survivors ≥65 years, non-Caucasian race, lower levels of education, and nonviral liver disease. In a heterogeneous cohort including early and late LT survivors, there was variation in levels of PTG, resilience, anxiety, and depression at different survivorship stages. Factors associated with positive psychological traits were identified. Understanding determinants of LT survivorship has important implications for how we should monitor and support LT survivors.

Early Survivorship After Liver Transplantation: A Qualitative Study Identifying Challenges in Recovery From the Patient and Caregiver Perspective

Survivorship after liver transplantation (LT) is a novel concept providing a holistic view of the arduous recovery experienced after transplantation. We explored components of early survivorship including physical, emotional, and psychological challenges to identify intervention targets for improving the recovery process of LT recipients and caregivers. A total of 20 in-person interviews were conducted among adults 3 to 6 months after LT. Trained qualitative research experts conducted interviews, coded, and analyzed transcripts to identify relevant themes and representative quotes. Early survivorship comprises overcoming (1) physical challenges, with the most challenging experiences involving mobility, driving, dietary modifications, and medication adherence, and (2) emotional and psychological challenges, including new health concerns, financial worries, body image/identity struggles, social isolation, dependency issues, and concerns about never returning to normal. Etiology of liver disease informed survivorship experiences including some patients with hepatocellular carcinoma expressing decisional regret or uncertainty in light of their post-LT experiences. Important topics were identified that framed LT recovery including setting expectations about waitlist experiences, hospital recovery, and ongoing medication requirements. Early survivorship after LT within the first 6 months involves a wide array of physical, emotional, and psychological challenges. Patients and caregivers identified what they wish they had known prior to LT and strategies for recovery, which can inform targeted LT survivorship interventions.

Age at Time of Kidney Transplantation as a Predictor for Mortality, Graft Loss and Self-Rated Health Status: Results From the Swiss Transplant Cohort Study

Introduction: The effect of age on health outcomes in kidney transplantation remains inconclusive. This study aimed to analyze the relationship between age at time of kidney transplantation with mortality, graft loss and self-rated health status in adult kidney transplant recipients.

Methods: This study used data from the Swiss Transplant Cohort Study and included prospective data of kidney transplant recipients between 2008 and 2017. Time-to-event analysis was performed using Cox’ regression analysis, and -in the case of graft loss- competing risk analysis. A random-intercept regression model was applied to analyse self-rated health status.

Results: We included 2,366 kidney transplant recipients. Age at transplantation linearly predicted mortality. It was also predictive for graft loss, though nonlinearly, showing that recipients aged between 35 and 55 years presented with the lowest risk of experiencing graft loss. No relationship of age with self-rated health status was detected.

Conclusion: Higher mortality in older recipients complies with data from the general population. The non-linear relationship between age and graft loss and the higher scored self-rated health status at all follow-up time-points compared to the pre-transplant status -regardless of age- highlight that age alone might not be an accurate measure for risk prediction and clinical decision making in kidney transplantation.

Cohort profile: The Swiss Transplant Cohort Study (STCS): A nationwide longitudinal cohort study of all solid organ recipients in Switzerland

PURPOSE

The Swiss Transplant Cohort Study (STCS) is a prospective multicentre cohort study which started to actively enrol study participants in May 2008. It takes advantage of combining data from all transplant programmes in one unique system to perform comprehensive nationwide reporting and to promote translational and clinical post-transplant outcome research in the framework of Swiss transplantation medicine.

PARTICIPANTS

Over 5500 solid organ transplant recipients have been enrolled in all six Swiss transplant centres by end of 2019, around three-quarter of them for kidney and liver transplants. Ninety-three per cent of all transplanted recipients have consented to study participation, almost all of them (99%) contributed to bio-sampling. The STCS genomic data set includes around 3000 patients.

FINDINGS TO DATE

Detailed clinical and laboratory data in high granularity as well as patient-reported outcomes from transplant recipients and activities in Switzerland are available in the last decade. Interdisciplinary contributions in diverse fields of transplantation medicine such as infectious diseases, genomics, oncology, immunology and psychosocial science have resulted in approximately 70 scientific papers getting published in peer-review journals so far.

FUTURE PLANS

The STCS will deepen its efforts in personalised medicine and digital epidemiology, and will also focus on allocation research and the use of causal inference methods to make complex matters in transplant medicine more understandable and transparent.

What Survivorship Means to Liver Transplant Recipients: Qualitative Groundwork for a Survivorship Conceptual Model

Survivorship is a well-established concept in the cancer care continuum with a focus on disease recurrence, quality of life, and the minimization of competing risks for mortality; however, survivorship has not been well studied in liver transplantation (LT). We investigated what survivorship means to LT patients and identified motivations and coping strategies for overcoming challenges after LT. A total of 20 in-depth home interviews were conducted among adults 3 to 6 months after LT. Interviews were conducted by trained qualitative research experts and coded and analyzed using an inductive approach. A majority of LT recipients (75%) identified themselves as survivors. Integral to the definition of survivorship was overcoming hardship (including experiences on the waiting list) and the unique experience of being given a "second chance" at life. Motivations to survive included a new chance at life (55%), family (40%), spirituality/faith (30%), and fear of rejection (15%). LT recipients and caregivers identified multiple strategies to cope with post-LT challenges, including relying on a large network of community, spiritual, and virtual support. These findings informed a conceptual model of LT survivorship based on socioecological theory, which identified the following variables influencing survivorship: (1) pretransplant experiences, (2) individual attributes and challenges, (3) interpersonal relationships with caregivers and other social support, (4) community relationships, and (5) large-scale factors including neighborhood and financial issues. LT recipients identified themselves as survivors, and post-LT identities were greatly influenced by pre-LT experiences. These perspectives informed an in-depth conceptual model of survivorship after transplantation. We identified sources of motivation and coping strategies used in LT recovery that could be targets of survivorship interventions aimed at improving post-LT outcomes.

The FRAILMar Study Protocol: Frailty in Patients With Advanced Chronic Kidney Disease Awaiting Kidney Transplantation. A Randomized Clinical Trial of Multimodal Prehabilitation

Introduction: Frailty is very frequent among patients with chronic kidney disease (CKD) who are awaiting deceased donor kidney transplantation (KT), and transplant outcomes are worsened in those frail recipients. Frailty and poor fitness powerfully predict mortality, kidney graft survival, and healthcare utilization after KT. Intervention is essential to improve survival and quality of life for frail CKD patients, regardless of their age. Studies of post-transplant physical therapy intervention have been met with limited success, in large part due to high dropout rates. A pre-transplant clinical framework for multimodal prehabilitation interventions including physical therapy, nutritional measures, and psychological support scheduled during the KT waiting list period may improve patient retention and compliance, better mitigate the effects of frailty and poor fitness after KT, and improve main outcomes in frail CKD patients.

Main Objective: To study the effectiveness, feasibility, and safety of multimodal prehabilitation (exercise, nutritional plans, psychological advice) in KT candidates.

Methods: Randomized controlled clinical trial in 38 frail and 76 non-frail KT candidates. The prehabilitation program will consist of physical exercise (24 sessions, 8 weeks), nutritional supplementation, and psychological advice. The primary endpoint will be a composite achievement of clinical and functional main outcomes in frail and non-frail KT candidates at 90 days post-transplantation. Secondary outcomes include changes in exercise capacity, physical activity, gait speed, respiratory and peripheral muscle strength, muscle size, body composition, performance in activities of daily living (basic and instrumental), anxiety and depression symptoms, and health-related quality of life. Feasibility of the intervention will be also analyzed.

Expected Results: Multimodal prehabilitation is a feasible and effective intervention to decrease bad outcomes at 90 days post-KT by 25 and 12.5% in frail and non-frail patients, respectively.

Clinical Trial Registration:clinicaltrials.gov (NCT04701398), date: 2021, January 8th (Protocol version: Frailmar_vers2).

Pre-transplant Social Adaptability Index and clinical outcomes in renal transplantation: The Swiss Transplant Cohort study

BACKGROUND

The impact of pre-transplant social determinants of health on post-transplant outcomes remains understudied. In the United States, poor clinical outcomes are associated with underprivileged status, as assessed by the Social Adaptability Index (SAI), a composite score of education, employment status, marital status, household income, and substance abuse. Using data from the Swiss Transplant Cohort Study (STCS), we determined the SAI's predictive value regarding two post-transplant outcomes: all-cause mortality and return to dialysis.

METHODS

Between 2012 and 2018, we included adult renal transplant patients (aged ≥ 18 years) with pre-transplant assessment SAI scores, calculated from a STCS Psychosocial Questionnaire. Time to all-cause mortality and return to dialysis were predicted using Cox regression.

RESULTS

Of 1238 included patients (mean age: 53.8 ± 13.2 years; 37.9% female; median follow-up time: 4.4 years [IQR: 2.7]), 93 (7.5%) died and 57 (4.6%) returned to dialysis. The SAI's hazard ratio was 0.94 (95%CI: 0.88-1.01; p = .09) for mortality and 0.93 (95%CI: 0.85-1.02; p = .15) for return to dialysis.

CONCLUSIONS

In contrast to most published studies on social deprivation, analysis of this Swiss sample detected no significant association between SAI score and mortality or return to dialysis.

Sequential Cohort Analysis After Liver Transplantation Shows de Novo Extended Release Tacrolimus Is Safe, Efficacious, and Minimizes Renal Dysfunction

The use of once-daily extended-release tacrolimus (ERT) is associated with improved long-term graft and patient survival when compared with twice-daily tacrolimus (BDT), but the underlying reasons for differential survival are unclear. The aim of the study was to compare clinical outcomes known to impact on posttransplant survival for de novo BDT and ERT in liver transplantation (LT) recipients.

METHODS

We conducted a single-center, prospective sequential cohort analysis of adult patients undergoing LT during a change in protocol from de novo BDT to ERT, with a 6-month post-LT follow-up.

RESULTS

A total of 160 transplanted patients were evaluated; 82 were in the BDT group and 78 were in the ERT group. The cohorts were matched for standard variables and a similar proportion in each group received induction interleukin-2 receptor antibody (36% and 31%). There were no significant differences in the measured outcomes of patient and graft survival, biopsy-proven acute rejection episodes, post LT diabetes, and toxicity. A significantly lower number of patients developed chronic kidney disease Stage3-4 in the ERT cohort compared with BDT cohort. In patients with pre-LT renal dysfunction who received antibody induction, estimated glomerular filtration rate decreased significantly in the BDT but not the ERT group.

CONCLUSIONS

We show that once-daily ERT is as safe and efficacious as BDT in de novo LT but optimally conserves renal function post-LT.

Impact of psychosocial status on liver transplant process

Liver transplant candidates and recipients are at high risk of psychological distress. Social, psychological and psychiatric patterns seem to influence morbidity and mortality of patients before and after transplant. An accurate organ allocation is mandatory to guarantee an optimal graft and recipient survival. In this context, the pre-transplant social, psychological and psychiatric selection of potential candidates is essential for excluding major psychiatric illness and for estimating the patient compliance. Depression is one of the most studied psychological conditions in the field of organ transplantation. Notably, an ineffectively treated depression in the pre-transplant period has been associated to a worst long-term recipient survival. After transplant, personalized psychological intervention might favor recovery process, improvement of quality of life and immunosuppressant adherence. Active coping strategy represents one of the most encouraging ways to positively influence the clinical course of transplanted patients. In conclusion, multidisciplinary team should act in three directions: prevention of mood distress, early diagnosis and effective treatment. Active coping, social support and multidisciplinary approach might improve the clinical outcome of transplanted patients.

Health-related quality of life and stress-related post-transplant trajectories of lung transplant recipients: a three-year follow-up of the Swiss Transplant Cohort Study

BACKGROUND Lung transplantation (LTx) provides a viable option for the survival of end-stage lung diseases. Besides survival as a clinical outcome measure, health-related quality of life (HRQoL) and psychological distress have become important outcomes in studies investigating the effectiveness of LTx in the short- and long-term. OBJECTIVE To assess and compare HRQoL trajectories of patients after LTx prior to and over a follow-up period of three years post-transplant, and to identify differences regarding distress, HRQoL and patient-related outcomes. METHODS In this longitudinal study, 27 lung transplant recipients were prospectively examined for psychological distress (Symptom Checklist short version-9; SCL-K-9), health-related quality of life (EuroQOL five dimensions questionnaire; EQ-5D), depression (HADS-Depression scale), and socio-demographic and medical outcomes at two weeks, three months, six months and three years following LTx. Additionally, potential outcome-related predictors for LTx-outcomes at three years post-transplant were assessed. Data were collected in accordance with guidelines set by the STROBE (strengthening the reporting of observational studies in epidemiology) statement. RESULTS Lung transplant recipients showed the most pronounced improvements in HRQoL and reduction in psychological distress between two weeks and three months post-transplant, with relative stable HRQoL and distress trajectories thereafter. The most important predictors of poor somatic health trajectories over time were the pre-transplant disease severity score and the pre-transplant HADS-Depression score. In addition, idiopathic pulmonary fibrosis (IPF) and pre-transplant extracorporeal membrane oxygenation (ECMO)-use predicted poorer survival, while cystic fibrosis was associated with better survival three years post-transplant. COMCLUSION Lung transplantation yields significant survival and HRQoL benefits, with its peak improvement at three months post-transplant. The majority of patients can preserve these health changes in the long-term. Patients with a worse HRQoL and higher psychological distress at six months post-transplant tended to have a poorer survival post-transplant. Other risk factors for poorer survival included IPF, pre-transplant ECMO-use, pre-transplant symptoms of depression, high pre-transplant disease severity and worse somatic disease severity trajectories. The majority of LTx-recipients were unable to work due to illness-related reasons.

Prehabilitation prior to kidney transplantation: Results from a pilot study

Prehabilitation is the process of enhancing preoperative functional capacity to improve tolerance for the upcoming stressor; it was associated with improved postoperative outcomes in a handful of studies, but never evaluated in transplantation. Kidney transplant (KT) candidates may be uniquely suited for prehabilitation because they experience a profound loss of functional capacity while waiting years on dialysis. To better understand the feasibility and effectiveness of prehabilitation in KT, we conducted a pilot study of center-based prehabilitation for candidates; this intervention consisted of weekly physical therapy sessions at an outpatient center with at-home exercises. We enrolled 24 participants; 18 participated in prehabilitation (75% of enrolled; 17% of eligible). 61% were male, 72% were African American, and mean age = 52 (SD = 12.9); 71% of participants had lower-extremity impairment, and 31% were frail. By 2 months of prehabilitation, participants improved their physical activity by 64% (P = 0.004) based on accelerometry. Participants reported high satisfaction. Among 5 prehabilitation participants who received KT during the study, length of stay was shorter than for age-, sex-, and race-matched control (5 vs 10 days; RR = 0.69; 95% CI:0.50-0.94; P = 0.02). These pilot study findings suggest that prehabilitation is feasible in pretransplant patients and may potentially be a strategy to improve post-KT outcomes.

New-onset obesity after liver transplantation-outcomes and risk factors: the Swiss Transplant Cohort Study

Weight gain after liver transplantation (LTx) facilitates development of new-onset obesity; however, its risk factors and outcomes are poorly understood. We identified the impact of new-onset obesity on cardiovascular events (CVEs) and patient survival, and risk factors for new-onset obesity. Multiple Cox regression models examined risk factors for CVEs, patient survival, and new-onset obesity in 253 adults (mean age 52.2 ± 11.6 years, male gender 63.6%, mean follow up 5.7 ± 2.1 years). Cumulative incidence of post-LTx CVE was 28.1%; that of new-onset obesity was 21.3%. Regardless of CVE at LTx, post-LTx CVEs were predicted by new-onset obesity [Hazard Ratio (HR), 2.95; P = 0.002] and higher age at LTx (HR, 1.05; P < 0.001). In patients without known pre-LTx CVEs (n = 214), risk factors for post-LTx CVEs were new-onset obesity (HR, 2.59; P = 0.014) and higher age (HR, 1.04; P = 0.001). Survival was not associated with new-onset obesity (P = 0.696). Alcoholic liver disease predicted new-onset obesity (HR, 3.37; P = 0.025), female gender was protective (HR, 0.39; P = 0.034). In 114 patients with available genetic data, alcoholic liver disease (HR, 12.82; P = 0.014) and hepatocellular carcinoma (HR, 10.02; P = 0.048) predicted new-onset obesity, and genetics remained borderline significant (HR, 1.07; P = 0.071). Early introduction of post-LTx weight management programs may suggest a potential pathway to reduce CVE risk.

Change of sleep quality from pre- to 3 years post-solid organ transplantation: The Swiss Transplant Cohort Study

BACKGROUND

Poor sleep quality (SQ) is common after solid organ transplantation; however, very little is known about its natural history. We assessed the changes in SQ from pre- to 3 years post-transplant in adult heart, kidney, liver and lung recipients included in the prospective nation-wide Swiss Transplant Cohort Study. We explored associations with selected variables in patients suffering persistent poor SQ compared to those with good or variable SQ.

METHODS

Adult single organ transplant recipients enrolled in the Swiss Transplant Cohort Study with pre-transplant and at least 3 post-transplant SQ assessment data were included. SQ was self-reported pre-transplant (at listing), then at 6, 12, 24 and 36 months post-transplant. A single SQ item was used to identify poor (0-5) and good sleepers (6-10). Between organ groups, SQ was compared via logistic regression analysis with generalized estimating equations. Within the group reporting persistently poor SQ, we used logistic regression or Kaplan-Meier analysis as appropriate to check for differences in global quality of life and survival.

RESULTS

In a sample of 1173 transplant patients (age: 52.1±13.2 years; 65% males; 66% kidney, 17% liver, 10% lung, 7% heart) transplanted between 2008 and 2012, pre- transplant poor SQ was highest in liver (50%) and heart (49%) recipients. Overall, poor SQ decreased significantly from pre-transplant (38%) to 24 months post-transplant (26%) and remained stable at 3 years (29%). Patients reporting persistently poor SQ had significantly more depressive symptomatology and lower global quality of life.

CONCLUSION

Because self-reported poor SQ is related to poorer global quality of life, these results emphasize the need for further studies to find suitable treatment options for poor SQ in transplant recipients.

Employment 12 months after kidney transplantation: An in-depth bio-psycho-social analysis of the Swiss Transplant Cohort

BACKGROUND

Return to work with or after a chronic disease is a dynamic process influenced by a variety of interactions between personal, work, societal and medical resources or constraints. The aim of this study was to identify predictors for employment 12 months after transplantation in kidney patients, applying a bio-psycho-social model.

METHODS

All kidney patients followed in the Swiss Transplant Cohort between May 2008 and December 2012, aged 18 to 65 were assessed before, 6 and 12 months after transplantation.

RESULTS

Of the 689 included patients, 56.2% worked 12 months post- transplantation compared to 58.9% pre-transplantation. Age, education, self-perceived health (6 months post- transplantation), pre- transplantation employment and receiving an organ from a living donor are significant predictors of employment post- transplantation. Moreover, while self-perceived health increased post- transplantation, depression score decreased only among those employed 12 months post- transplantation. Pre- transplantation employment status was the main predictor for post- transplantation employment (OR = 18.6) and was associated with sex, age, education, depression and duration of dialysis. An organ from a living donor (42.1%) was more frequent in younger patients, with higher education, no diabetes and shorter waiting time to surgery.

CONCLUSION

Transplantation did not increase employment in end-stage kidney disease patients but helped maintaining employment. Pre-transplantation employment has been confirmed to be the most important predictor of post-transplantation employment. Furthermore, socio-demographic and individual factors predicted directly and indirectly the post-transplantation employment status. With living donor, an additional predictor linked to social factors and the medical procedure has been identified.

Evolution of body weight parameters up to 3 years after solid organ transplantation: The prospective Swiss Transplant Cohort Study

Obesity and weight gain are serious concerns after solid organ transplantation (Tx); however, no unbiased comparison regarding body weight parameter evolution across organ groups has yet been performed. Using data from the prospective nationwide Swiss Transplant Cohort Study, we compared the evolution of weight parameters up to 3 years post-Tx in 1359 adult kidney (58.3%), liver (21.7%), lung (11.6%), and heart (8.4%) recipients transplanted between May 2008 and May 2012. Changes in mean weight and body mass index (BMI) category were compared to reference values from 6 months post-Tx. At 3 years post-Tx, compared to other organ groups, liver Tx recipients showed the greatest weight gain (mean 4.8±10.4 kg), 57.4% gained >5% body weight, and they had the highest incidence of obesity (38.1%). After 3 years, based on their BMI categories at 6 months, normal weight and obese liver Tx patients, as well as underweight kidney, lung and heart Tx patients had the highest weight gains. Judged against international Tx patient data, the majority of our Swiss Tx recipients' experienced lower post-Tx weight gain. However, our findings show weight gain pattern differences, both within and across organ Tx groups that call for preventive measures.

A systematic review of health-related quality of life and psychological outcomes after lung transplantation

BACKGROUND

Lung transplantation (LTx) aims to reduce physical disability and mental distress, extend survival, and improve health-related quality of life (HRQoL). In this systematic review we aimed to: (1) augment evidence regarding measures to assess HRQoL and psychological outcomes after LTx; and (2) summarize HRQoL and psychological outcomes after LTx.

METHODS

Validated and standardized instruments with well-known psychometric properties used for assessing HRQoL and psychological outcomes after LTx were identified by means of comprehensive literature searches of PsychINFO and Medline/PubMed, up through March 2014, using the following search terms in various combinations: lung transplantation; physical functioning; symptom experience; mental health; anxiety; depression; distress; social functioning; life satisfaction; and health-related quality of life.

RESULTS

The search strategy identified 371 titles and abstracts. Of these, 279 were retrieved for further assessment and 63 articles selected for final review. Thirty-nine studies were found for HRQoL, 15 for physical functioning, 5 for mental health and 4 for social functioning. A total of 50 psychometric instruments were encountered.

CONCLUSIONS

Considerable heterogeneity exists in methodology, operational concepts and applied outcome measures in the existing literature on HRQoL and psychological outcomes after LTx. Nevertheless, the studies generally point to significant improvements in both mental health and HRQoL post-transplant. Further research is warranted utilizing consistent outcome measures, including LTx-specific measures and longitudinal study designs.

The swiss transplant cohort study: lessons from the first 6 years

Prospective cohort studies significantly contribute to answering specific research questions in a defined population. Since 2008, the Swiss Transplant Cohort Study (STCS) systematically enrolled >95 % of all transplant recipients in Switzerland, collecting predefined data at determined time points. Designed as an open cohort, the STCS has included >3900 patients to date, with a median follow-up of 2.96 years (IQR 1.44-4.73). This review highlights some relevant findings in the field of transplant-associated infections gained by the STCS so far. Three key general aspects have crystallized: (i) Well-run cohort studies are a powerful tool to conduct genetic studies, which are crucially dependent on a meticulously described phenotype. (ii) Long-term real-life observations are adding a distinct layer of information that cannot be obtained during randomized studies. (iii) The systemic collection of data, close interdisciplinary collaboration, and continuous analysis of some key outcome data such as infectious diseases endpoints can improve patient care.

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.