Prolonged rehospitalizations following renal transplantation: causes, risk factors, and outcomes

Re-hospitalization after pediatric kidney transplant: A single-center study

BACKGROUND

Little data exist on re-hospitalization rates in pediatric kidney recipients (KTx) particularly with the evolution of transplant immunosuppression.

METHODS

In a single-center, retrospective study of pediatric KTx between 2006 and 2016, we assessed re-hospitalization after KTx admission, stratified by whether the re-admit was early (<30 days post-KTx discharge) or late (>30 days), and compared two different immunosuppression eras (one with and one without steroids).

RESULTS

Of 197 KTx, 156 (79%) patients were re-hospitalized in 1st year, 85 (56%) within 30 days of discharge (total 490 1st year re-hospitalizations). Younger age was associated with early and late re-hospitalizations. African American race was associated with early re-hospitalizations. Of the 123 and 74 discharged on steroid-avoidance (maintenance immunosuppression included MMF in 95%; FK in 50%; CSA in 50%) and steroid-inclusive (AZA in 66%; MMF in 34%; FK in 30%; CSA in 70%), re-hospitalization rates, timing post-transplant, length, and number were not significantly different (P .38; .1; .56; .11). Admission diagnoses analysis demonstrated that steroid-avoidance recipients had anemia/leucopenia/thrombocytopenia, significantly more often, as one of their admission diagnoses (16% vs 4%; P < .001) and had a rejection diagnosis significantly less often (6% vs 18%; P < .001). Infection diagnoses were not statistically different between groups. Re-hospitalization, early or late, did not predict worse graft/ patient survival but predicted further hospitalizations.

CONCLUSIONS

Re-hospitalization is common after pediatric transplant discharge and predicts further hospitalization regardless of discharge on or off steroids.

Refill-Based Medication Use Quality Measures in Kidney Transplant Recipients: Examination of Proportion of Days Covered and Medication Possession Ratio

BACKGROUND

The Pharmacy Quality Alliance's definition of proportion of days covered (PDC) and medication possession ratio (MPR) have not been examined as potential quality measures in the kidney transplant recipient population.

OBJECTIVES

To (a) describe the frequency distribution of MPR and PDC using mycophenolic acid products in a real-world kidney transplant recipient population and (b) evaluate associations between MPR and PDC with late (> 90 days after transplantation) biopsy-proven acute rejection (BPAR).

METHODS

This was a retrospective cohort study combining data from the Wisconsin Allograft Recipient Database with University of Wisconsin (UW) Health Specialty Pharmacy prescription claims and dispensing data from March 10, 2006, to June 30, 2012. Patients who met criteria for persistence filling mycophenolic acid prescriptions at UW Health Specialty Pharmacy in the first year following discharge from kidney transplantation surgery hospitalization were included. Patients were excluded if they were enrolled in a clinical trial, if they had BPAR within 90 days of transplantation, or if they did not have panel reactive antibody data available. PDC and MPR were calculated over 360 days after discharge, and multivariable analyses were performed to determine if there were associations between PDC or MPR with late BPAR within 3 years.

RESULTS

This study included 388 patients. The incidence of 3-year late BPAR was 5.1% (n = 20). Characteristics of patients who experienced late BPAR were largely consistent with those who did not experience late BPAR, with the exception of number of hospital readmissions, which was higher among patients who experienced late BPAR. The frequency distribution of PDC and MPR exhibited a skewed left distribution, with a median PDC of 0.972 and a median MPR of 1.000. Higher PDC was associated with lower odds of late BPAR (OR = 0.041, 95% CI = 0.004-0.417) in multivariable analysis, as was a higher MPR (OR = 0.041, 95% CI = 0.004-0.419).

CONCLUSIONS

MPR and PDC may be calculated from data available to pharmacies and health plans, and each was associated with 3-year late BPAR among patients who did not experience early BPAR. However, the construct validity of these medication adherence measures requires further study.

DISCLOSURES

This study was not funded. The authors report no conflicts of interest and no relevant financial interests related to the products or services discussed in this article. Study concept and design were contributed by Hofmeyer, along with Look and Hager. Hager took the lead in data collection, along with the other authors. Data interpretation was performed by Look, along with the other authors. The manuscript was primarily written by Hofmeyer, assisted by Look and Hager, and revised by all of the authors.

The association of discharge decisions after deceased donor kidney transplantation with the risk of early readmission: Results from the deceased donor study

BACKGROUND

Kidney transplant (KT) recipients experience high rates of early (≤30 days) hospital readmission (EHR) after KT, and existing studies provide limited data on modifiable discharge factors that may mitigate EHR risk.

METHODS

We performed a retrospective cohort study of 468 adult deceased donor KT recipients transplanted between 4/2010 and 11/2013 at 5 United States transplant centers. We fit multivariable mixed effects models to assess the association of two potentially modifiable discharge factors with the probability of EHR after KT: (i) weekend discharge and (ii) days to first scheduled follow-up.

RESULTS

Among 468 KT recipients, 38% (n = 178) experienced EHR after KT. In fully adjusted analyses, compared to weekday discharges, KT recipients discharged on the weekend had a 29% lower risk of EHR (adjusted odds ratio [aOR] 0.71, 95% confidence interval [CI] 0.41-0.94). Compared to follow-up within 2 days of discharge, KT recipients with follow-up within 3 to 6 days had a 28% higher probability of EHR (aOR 1.28, 95% CI 1.13-1.45).

CONCLUSIONS

These findings suggest that clinical decisions related to the timing of discharge and follow-up modify EHR risk after KT, independent of traditional risk factors.

The Risk of Septicemia in End-Stage Renal Disease With and Without Renal Transplantation: A Propensity-Matched Cohort Study

End-stage renal disease (ESRD) is a well-known risk factor for septicemia. Renal transplantation (RTx) is the treatment of choice for ESRD. However, RTx recipients should undergo long-term immunosuppressive therapy. The aim of this study was to evaluate the risk of septicemia in ESRD patients with and without RTx.This cohort study used the National Health Insurance (NHI) data of Taiwan from 2000 to 2010. The RTx group consisted of 3286 RTx recipients. The non-RTx comparison group also consisted of 3286 subjects with ESRD matched by propensity scores for age, sex, index date, comorbidities, and medications. The subjects were followed until the end of 2011 to evaluate the septicemia risk.The risk of septicemia was lower in the RTx group than the non-RTx group, with an adjusted hazard ratio of 0.73 [95% confidence interval (CI) = 0.64-0.84, P < 0.001]. In addition, we observed insignificantly lower intensive care unit (ICU) admission rate (35.8% vs. 39.8%) and lower 30-day all-cause mortality rate (17.2% vs. 18.5%) in the RTx group than the non-RTx group. However, the mean cost for septicemia in the RTx group was insignificantly higher than the non-RTx group (7175 vs. 6421 USD, P = 0.39).RTx recipients had a significantly reduced risk of developing septicemia compared to the propensity-matched non-RTx ESRD patients. The ICU admission and 30-day all-cause mortality rates also slightly decreased in RTx recipients but without statistical significance.

Cost-effectiveness of modern mTOR inhibitor based immunosuppression compared to the standard of care after renal transplantation in Germany

OBJECTIVES

Standards of immunosuppression in renal transplantation have changed dynamically in recent years. We here provide a refined advanced pharmacoeconomic model which uses state-of-the-art methods including a mixed treatment comparison (MTC) analysis. The aim was to assess the cost-effectiveness of current immunosuppressive therapy regimens (TR): "sirolimus + early withdrawal of cyclosporine + steroids" (TR1), "sirolimus-early transition" (TR2), "everolimus-early transition" (TR3) and "tacrolimus low dose + mycophenolate mofetil (MMF) + steroids" (TR4).

METHODS

An up-to-date Markov model with current source data was employed to assess the cost-effectiveness of modern immunosuppressive regimens over 12-month and 10-year time periods. Transition probabilities for the occurrence of events for the first year were based on an MTC analysis. The robustness of the model was tested in extensive sensitivity analyses.

RESULTS

Within the 12-month time period TR2 yields the highest life years (0.987 LY), generating costs of 17,500 <euro>. In terms of years with functioning graft (FG), TR4 yields the best efficacy over the 12-month model duration (0.970 years with FG). For the 10-year time period, TR2 yields the lowest costs (107,246 <euro>) and dominates both TR3 and TR1, as it is simultaneously more effective. Within the 10-year model duration, TR4 reaches slightly higher effects compared with TR2 (6.493 vs. 6.474 LY) resulting in an incremental cost-effectiveness ratio of 387,684 <euro> per LY gained.

CONCLUSIONS

The early transition to sirolimus provides long-term efficiency results comparable with a tacrolimus-based regimen, which represents a common treatment standard after kidney transplantation. Both are superior to other investigated immunosuppressive regimens.

Hyperglycemia after renal transplantation: frequency and risk factors

BACKGROUND

Chronic renal failure is an important and common complication of diabetes mellitus; hence, renal transplantation is a frequent and the acceptable treatment in patients with diabetic nephropathy requiring renal replacement therapy. On the other hand, renal transplantation and its conventional treatment can lead to increased diabetes outbreak in normoglycemic recipients. Also, uncontrolled hyperglycemia may be increased and allograft lost thus decreasing patient survival.

OBJECTIVES

We aimed to assess the frequency of hyperglycemia in transplant patients and its risk factors.

PATIENTS AND METHODS

A large retrospective study was performed on 3342 adult kidney transplant recipients between 2008 and 2010. Demographic and laboratory data were gathered for each patient. All tests were done in a single laboratory and hyperglycemia was defined as a fasting plasma glucose of > 125 mg/dL. Univariate and multivariate logistic regression analyses were used to determine the risk factors of hyperglycemia following kidney transplantation.

RESULTS

There were 2120 (63.4%) males and 1212 (36.3%) females. Prevalence of hyperglycemia was 22.5%. By univariate linear regression, hyperglycemia was significantly higher in patients with CMV infection (P = 0.001), elevated serum creatinine (P = 0.000), low HDL (P = 0.01), and increased blood levels of cyclosporine (P = 0.000). After adjusting for covariates by multivariate logistic regression, the hyperglycemia rate was significantly higher for patients with Cyclosporine trough level > 250 (P = 0.000), serum creatinine > 1.5 (P = 0.000) and HDL < 45 (P = 0.03).

CONCLUSIONS

This study indicated that hyperglycemia is a common metabolic disorder in Iranian kidney transplant patients. Risk factors for hyperglycemia were higher Cyclosporine level, impaired renal function, and reduced HDL value.

Rehospitalization after kidney transplantation during the first year: length, causes and relationship with long-term patient and graft survival

INTRODUCTION

There is a wide interest in epidemiologic studies assessing different causes of post-kidney transplantation rehospitalization. However, there is a paucity of knowledge on the long-term survival and graft function of rehospitalized kidney transplant recipients during the first year. Knowledge of posttransplant rehospitalization causes may help guide the preventive program at the first year. In our study, we assess causes for hospitalization and investigate the long-term patient and graft survival after non-fatal rehospitalization in kidney recipients during the first year.

MATERIALS AND METHODS

We retrospectively studied the medical histories of 419 kidney transplant recipients whose operations were performed between 1986 and 2009 at Charles Nicolle Hospital, in Tunis, Tunisia. Among these patients, a total of 296 posttransplant rehospitalizations of kidney transplant recipients during the first year occurring in 191 (45.5%) patients were assessed. Clinical characteristics of the patients, including gender, age, reason for kidney failure, weight, height, blood group, length of pretransplant dialysis, immunosuppressive regimen, postoperative complications, the length of hospital stay, transplantation-admission interval, causes of rehospitalizations, graft loss, and mortality rate were reviewed. For donors, these demographics included age, gender, blood group, type of donor (deceased or living), and relationship to the recipient. Because rehospitalizations are possible for more than one cause, the sum of frequencies of rehospitalization causes is more than 100%.

RESULTS

There was 1 rehospitalization in 121 patients, 2 rehospitalizations in 47 patients, 3 rehospitalizations in 15 patients, 4 rehospitalizations in 5 patients, 5 rehospitalizations in 2 patients and 6 rehospitalizations in 1 patient. Rehospitalization was more frequent for diabetic patients without significant association. The causes of rehospitalization were infection in 221 cases (55.5%), renal dysfunction in 106 cases (26%), cardiovascular event in 10 cases (2.4%), and diabetic ketoacidosis in 11 cases (2.7%). The length of hospital stay was 22.5 ± 29.6 days, 20.15 ± 22.16 days, 25 ± 30 days and 23.4 ± 27.5 days, respectively, in the first, second, third, and fifth rehospitalizations. Median hospital stay for all rehospitalizations was between 14 and 16 days. The risk factors of rehospitalization were: use of mycophenolate mofetile (P = .0072), use of cyclosporine (P = .0073), and cytomegalovirus infection (P < .001). There was no significant correlation between rehospitalization and either lost of graft and death.

CONCLUSIONS

During the first year after kidney transplantation, rehospitalization was especially required because of infections and renal dysfunction. The risk factors of rehospitalization were cadaveric graft, use of mycophenolate mofetil, use of cyclosporine, and cytomegalovirus infection. To prevent and minimize rehospitalizations during the first year, a specific preventive program based on infection prevention and graft function monitoring should be established.

Cost-effectiveness of immunosuppressive regimens in renal transplant recipients in Germany: a model approach

BACKGROUND

The choice of immunosuppression regimen is of paramount importance for outcomes and cost of renal transplantation. We compared the cost-effectiveness of triple immunosuppressive regimens in Germany.

METHODS

A strong micro-simulation model was built comparing regimens based on cyclosporine, everolimus, sirolimus, and tacrolimus. Mean cost per patient, incremental cost per life year gained, and incremental cost per additional year with functioning graft were assessed from the perspective of the German statutory health insurance (SHI) after 2 and 10 years.

RESULTS

Over the 2-year period, the model predicted mean total costs per patient of 26,732, 29,352, 33,415, and 49,978 euro for sirolimus, cyclosporine, everolimus, and tacrolimus, respectively. Focusing on the cost per life year gained, the sirolimus-based regimen compared favorably with those based on everolimus and tacrolimus. The incremental cost-effectiveness ratio (ICER) of cyclosporine versus sirolimus is 524,000 euro per life year gained. Regarding the cost per year with functioning graft gained, sirolimus dominated cyclosporine and everolimus, while the ICER for tacrolimus compared to sirolimus amounts to 1,788,154 euro. Over the 10-year time frame, mean total costs per patient were 100,758, 108,300, 120,316, and 183,802 euro for sirolimus, cyclosporine, everolimus, and tacrolimus, respectively. With regard to life years gained, sirolimus dominated both cyclosporine and everolimus. The ICER of tacrolimus versus sirolimus was 1,766,894 euro. Considering the years with functioning graft gained, sirolimus dominated cyclosporine and everolimus, while the ICER for tacrolimus compared to sirolimus amounted to 1,339,419 euro.

CONCLUSIONS

Over both the 2-year and the 10-year time horizon, sirolimus-based immunosuppression represents a cost-effective option in renal transplantation in Germany.