The Cost-effectiveness of Valganciclovir Prophylaxis Versus Preemptive Therapy in CMV R+ Kidney Transplant Recipients Over the First Year Posttransplantation.

Background: In kidney transplant recipients with positive serology (R+) for the cytomegalovirus (CMV), 2 strategies are used to prevent infection, whose respective advantages over the other are still debated. This study aimed to evaluate the cost-effectiveness and cost utility of antiviral prophylaxis against CMV versus preemptive therapy, considering CMV infection-free survival over the first year posttransplantation as the main clinical outcome. Methods: Clinical, laboratory, and economic data were collected from 186 kidney transplant patients CMV (R+) included in the cohort study (85 patients who benefited from CMV prophylaxis and 101 from preemptive therapy). Costs were calculated from the hospital perspective and quality-adjusted life years (QALYs) using the EQ5D form. Using nonparametric bootstrapping, the incremental cost-effectiveness ratio (ICER) and cost utility were estimated (euros) for each case of infection avoided and each QALY gained for 1 y, respectively. Results: Prophylaxis significantly decreased the risk of CMV infection over the first year posttransplantation (hazard ratio 0.22, 95% confidence interval = 0.12-0.37, P < 0.01). Compared with preemptive therapy, prophylaxis saved financial resources (€1155 per patient) and was more effective (0.42 infection avoided per patient), resulting in an ICER = €2769 per infection avoided. Prophylaxis resulted in a net gain of 0.046 in QALYs per patient and dominated over preemptive therapy with €1422 cost-saving for 1 QALY gained. Conclusions: This study shows that CMV prophylaxis, although considered as a more expensive strategy, is more cost-effective than preemptive therapy for the prevention of CMV infections in renal transplant patients. Prophylaxis had a positive effect on quality of life at reasonable costs and resulted in net savings for the hospital.

Better Rejection-Free Survival at Three Years in Kidney Transplant Recipients With Model-Informed Precision Dosing of Mycophenolate Mofetil.

The clinical impact of individual dose adjustment of mycophenolate mofetil is still debated, due to conflicting results from randomized clinical trials. This retrospective study aimed to compare 3-year rejection-free survival and adverse effects between adult kidney transplant recipients (KTRs) with or without mycophenolate mofetil model-informed precision dosing (MIPD). MIPD is defined here as mycophenolic acid area under the curve (AUC0-12h) estimation using a limited sampling strategy, pharmacokinetic models and Bayesian estimators; dose recommendation to reach AUC0-12h = 45 mg.h/L; using a widely used online expert system. The study, nested in two multicenter prospective cohort studies, focused on patients who received a mycophenolate drug and were followed up for 1-3 years. Mycophenolate mofetil MIPD was prescribed as per local practice, on a regular basis, when deemed necessary, or not at all. The MIPD group included 341 KTRs and the control group 392. At 3 years, rejection-free survival was respectively 91.2% and 80.6% (P < 0.001) and the cumulative incidence of rejection 5.08% vs. 12.7% per patient × year (hazard ratio = 0.49 (0.34, 0.71), P < 0.001), corresponding to a 2.5-fold reduction. Significant association with rejection-free survival was confirmed in patients at low or high risk of rejection (P = 0.017 and 0.013) and in patients on tacrolimus, but not on cyclosporine (P < 0.001 and 0.205). The mycophenolate mofetil MIPD group had significantly more adverse effects, but most occurred before the first AUC0-12h, suggesting some may be the reason why MIPD was ordered.

Therapeutic education as a tool to improve patient-reported and clinical outcomes after renal transplantation: results of the EPHEGREN multicenter retrospective cohort study.

Patients are not always aware of the inconveniences associated with renal transplantation, which they compare with a « rebirth ¼, and from which they expect complete recovery. Therapeutic education is proposed to prepare patients for their life after transplantation. This study evaluated the impact of pretransplant therapeutic education on patient-reported outcomes and rejection-free survival over the first year. We collected data from 383 renal transplant patients followed-up in seven centers. Patients who benefited from therapeutic education before transplantation (N = 182) were compared with patients who did not (N = 139) for quality-of-life, adherence and adverse events using the Pearson's chi-square test, one-way ANOVA or t-test. The association between therapeutic education and time to acute rejection was investigated using Cox models. The patients who benefited from therapeutic education reported adverse events less frequently (e.g., tremor: 9% vs. 32.4%, P = 0.01) and better quality-of-life (MCS-QOL: 50.7 ± 8.1 vs. 47.7 ± 9.5, P = 0.02; PCS-QOL: 49.1 ± 7.1 vs. 46.0 ± 9.2, P = 0.013). No difference was found on adherence. Rejection-free survival was slightly better in the therapeutic education group (HR = 0.44, 95% CI = [0.19-1.01]). This multicenter retrospective cohort study suggests that integrating therapeutic education to care pathways entails clinical benefit, in terms of quality-of-life, self-reported adverse events and rejection-free survival. Randomized clinical trials are necessary to confirm this.

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 ±â€¯11 vs. 41 ±â€¯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.