Diabetes as the cause of end-stage renal disease affects the pattern of post kidney transplant rehospitalizations

Incidence, predictors, and outcomes of early hospital readmissions after kidney transplantation: Systemic review and meta-analysis

BACKGROUND

Early hospital readmission (EHR) within 30 days after kidney transplantation is a significant quality indicator of transplant centers and patient care. This meta-analysis aims to evaluate the incidence, predictors, and outcomes of EHR after kidney transplantation.

METHODS

We comprehensively searched the databases, including PubMed, Cochrane CENTRAL, and Embase, from inception until December 2021 to identify studies that assessed incidence, risk factors, and outcome of EHR. The outcomes included death-censored graft failure and mortality. Data from each study were combined using the random effect to calculate the pooled incidence, mean difference (MD), odds ratio (OR), and hazard ratio (HR) with 95% confidence interval (CI).

RESULTS

A total of 17 studies were included. The pooled EHR incidence after kidney transplant was 24.4% (95% CI 21.7-27.3). Meta-analysis showed that recipient characteristics, including older recipient age (MD 2.05; 95% CI 0.90-3.20), Black race (OR 1.31; 95% CI 1.11, 1.55), diabetes (OR 1.32; 95% CI 1.22-1.43), and longer dialysis duration (MD 0.85; 95% CI 0.41, 1.29), donor characteristics, including older donor age (MD 2.02; 95% CI 0.93-3.11), and transplant characteristics, including delayed graft function (OR 1.75; 95% CI 1.42-2.16) and longer length of hospital stay during transplantation (MD 1.93; 95% CI 0.59-3.27), were significantly associated with the increased risk of EHR. EHR was significantly associated with the increased risk of death-censored graft failure (HR 1.70; 95% CI 1.43-2.02) and mortality (HR 1.46; 95% CI 1.27-1.67) within the first year after transplantation.

CONCLUSION

Almost one-fourth of kidney transplant recipients had EHR within 30 days after transplant, and they had worse post-transplant outcomes. Several risk factors for EHR were identified. This calls for future research to develop and implement for management strategies to reduce EHR in high-risk patients.

Outcome of Renal Transplantation in Patients With Diabetes Mellitus: A Single-Center Experience

BACKGROUND

An increasing proportion of kidney recipients have diabetes mellitus (DM). Some concerns have been raised about the kidney transplantation results in diabetic patients. Therefore, we assessed the effect of DM on morbidity and mortality of diabetic patients with renal transplantation.

METHODS

We retrospectively studied adult patients with and without DM who underwent living donor transplantation between 2007 and 2016. Information concerning demographic and clinical data were retrospectively analyzed by reviewing the patient files.

RESULTS

Of the 1536 transplant recipients, 126 (8%) had diabetes mellitus (mean age 49.4 ± 11.8) and 525 patients were evaluated in the non-diabetic control group (mean age 36.2 ± 15.9). The diabetic and non-diabetic patient groups had a mean follow-up after kidney transplantation 42.5 months (0.27-101.7 months) and 58.8 ± 10.6 months, respectively. In the diabetic patient group, only 3 patients had lost graft and 13 patients were exitus. Three patients had lost graft and 5 patients were exitus in non-diabetic patient group. Cardiac death (54.5%) was the most common cause of mortality in diabetic group. The 6-year patient and graft survival rates are 84.9% and 95.3%; 97.5% and 97.2% in the diabetic and non-diabetic patient groups, respectively.

CONCLUSIONS

Both infection and cardiovascular diseases increase morbidity and mortality in renal transplant patients with diabetes mellitus. The mortality risk of diabetic patients after renal transplantation is higher than the non-diabetic kidney recipients. Therefore, diabetic patients need meticulous cardiac evaluation before renal transplantation and a close follow-up, in terms of infection, after transplantation.

Determinants of Poor Glycemic Control in Patients with Kidney Transplants: A Single-Center Retrospective Cohort Study in Canada

Background:

Kidney transplant immunosuppressive medications are known to impair glucose metabolism, causing worsened glycemic control in patients with pre-transplant diabetes mellitus (PrTDM) and new onset of diabetes after transplant (NODAT).

Objectives:

To determine the incidence, risk factors, and outcomes of both PrTDM and NODAT patients.

Design:

This is a single-center retrospective observational cohort study.

Setting:

The Ottawa Hospital, Ontario, Canada.

Participant:

A total of 132 adult (>18 years) kidney transplant patients from 2013 to 2015 were retrospectively followed 3 years post-transplant.

Measurements:

Patient characteristics, transplant information, pre- and post-transplant HbA1C and random glucose, follow-up appointments, complications, and readmissions.

Methods:

We looked at the prevalence of poor glycemic control (HbA1c >8.5%) in the PrTDM group before and after transplant and compared the prevalence, follow-up appointments, and rate of complications and readmission rates in both the PrTDM and NODAT groups. We determined the risk factors of developing poor glycemic control in PrTDM patients and NODAT. Student t-test was used to compare means, chi-squared test was used to compare percentages, and univariate analysis to determine risk factors was performed by logistical regression.

Results:

A total of 42 patients (31.8%) had PrTDM and 12 patients (13.3%) developed NODAT. Poor glycemic control (HbA1c >8.5%) was more prevalent in the PrTDM (76.4%) patients compared to those with NODAT (16.7%; P < .01). PrTDM patients were more likely to receive follow-up with an endocrinologist (P < .01) and diabetes nurse (P < .01) compared to those with NODAT. There were no differences in the complication and readmission rates for PrTDM and NODAT patients. Receiving a transplant from a deceased donor was associated with having poor glycemic control, odds ratio (OR) = 3.34, confidence interval (CI = 1.08, 10.4), P = .04. Both patient age, OR = 1.07, CI (1.02, 1.3), P < .01, and peritoneal dialysis prior to transplant, OR = 4.57, CI (1.28, 16.3), P = .02, were associated with NODAT.

Limitations:

Our study was limited by our small sample size. We also could not account for any diabetes screening performed outside of our center or follow-up appointments with family physicians or community endocrinologists.

Conclusion:

Poor glycemic control is common in the kidney transplant population. Glycemic targets for patients with PrTDM are not being met in our center and our study highlights the gap in the literature focusing on the prevalence and outcomes of poor glycemic control in these patients. Closer follow-up and attention may be needed for those who are at risk for worse glycemic control, which include older patients, those who received a deceased donor kidney, and/or prior peritoneal dialysis.

Healthcare Resource Use, Cost, and Sick Leave Following Kidney Transplantation in Sweden: A Population-Based, 5-Year, Retrospective Study of Outcomes: COIN

Background

Improved understanding of the impact of kidney transplantation on healthcare resource use/costs and loss of productivity could aid decision making about funding allocation and resources needed for the treatment of chronic kidney disease in stage 5.

Material/Methods

This was a retrospective study utilizing data from Swedish national health registers of patients undergoing kidney transplantation. Primary outcomes were renal disease-related healthcare resource utilization and costs during the 5 years after transplantation. Secondary outcomes included total costs and loss of productivity. Regression analysis identified factors that influenced resource use, costs, and loss of productivity.

Results

During the first year after transplantation, patients (N=3120) spent a mean of 25.7 days in hospital and made 21.6 outpatient visits; mean renal disease-related total cost was €66,014. During the next 4 years, resource use was approximately 70% (outpatient) to 80% (inpatient) lower, and costs were 75% lower. Before transplantation, 62.8% were on long-term sick leave, compared with 47.4% 2 years later. Higher resource use and costs were associated with age <10 years, female sex, graft from a deceased donor, prior hemodialysis, receipt of a previous transplant, and presence of comorbidities. Higher levels of sick leave were associated with female sex, history of hemodialysis, and type 1 diabetes. Overall 5-year graft survival was 86.7% (95% CI 85.3–88.2%).

Conclusions

After the first year following transplantation, resource use and related costs decreased, remaining stable for the next 4 years. Demographic and clinical factors, including age <10 years, female sex, and type 1 diabetes were associated with higher costs and resource use.

Early Rehospitalization Post-Kidney Transplant Due to Infectious Complications: Can We Predict the Patients at Risk?

INTRODUCTION

Rehospitalization early post-kidney transplant is common and has a negative impact in morbidity, graft survival, and health costs. Infection is one the most common causes, and identifying the risk factors for early readmission due to infectious complications may guide a preventive program and improve outcome. The aim of this study was to evaluate the incidence, characterize the population, and identify the risk factors associated with early readmission for infectious complications post-kidney transplantation.

METHODS

We performed a retrospective cohort study of all the kidney transplants performed during 2015. The primary outcome was readmission in the first 3 months post-transplant due to infectious causes defined by clinical and laboratory parameters.

RESULTS

We evaluated 141 kidney transplants; 71% of subjects were men, with an overall mean age of 50.8 ± 15.4 years. Prior to transplant, 98% of the patients were dialysis dependent and 2% underwent pre-emptive living donor kidney transplant. The global readmission rate was 49%, of which 65% were for infectious complications. The most frequent infection was urinary tract infection (n = 28, 62%) and the most common agent detected by blood and urine cultures was Klebsiella pneumonia (n = 18, 40%). The risk factors significantly associated with readmission were higher body mass index (P = .03), diabetes mellitus (P = .02), older donor (P = .007), and longer cold ischemia time (P = .04). There were 3 graft losses, but none due to infectious complications.

CONCLUSION

There was a high incidence of early rehospitalization due to infectious complications, especially urinary tract infections to nosocomial agents. The risk factors identified were similar to other series.

Role of glycemic control on hospital-related outcomes in patients with diabetes mellitus undergoing renal transplantation

OBJECTIVE

To compare length of stay (LOS) and incidence of hypoglycemic events and infections in hospitalized patients with diabetes mellitus (DM) undergoing renal transplantation, among groups of patients defined by admission glucose and mean inpatient daily glucose.

METHODS

A retrospective analysis of 190 charts of patients with DM who underwent renal transplantation over a 2-year period was conducted. Patients were grouped according to admission glucose and mean inpatient daily glucose (≤140 mg/dL, 141-180 mg/dL, and >180 mg/dL).

RESULTS

Admission glucose was not associated with LOS. A mean inpatient daily glucose of ≤140 mg/dL was associated with a longer LOS compared to a mean inpatient daily glucose of >180 mg/dL (p=0.03). Patients with an admission glucose of ≤140 mg/dL had approximately half the rate of hypoglycemic events compared to those with admission glucose of 141-180 mg/dL (odds ratio [OR]=2.1; p=0.02) or >180 mg/dL (OR=1.9; p=0.04). However, patients whose mean daily glucose was ≤140 mg/dL had approximately twice the rate of hypoglycemic events than those whose mean daily glucose was 141-180 mg/dL (OR=0.4; p=0.01) or >180 mg/dL (OR=0.4; p=0.004). The incidence of infections was low and was not associated with admission or mean daily glucose levels.

CONCLUSION

Lower mean daily inpatient glucose levels (≤140 mg/dL) are associated with longer LOS and greater incidence of hypoglycemic episodes in diabetes patients undergoing renal transplantation. Our findings suggest that target blood glucose levels of 140-180 mg/dL may be appropriate in this specific population. Additional prospective research is needed to confirm these findings.

Factors Affecting the Selection of Patients on Waiting List: A Single Center Study

INTRODUCTION

There is an increasing gap between organ supply and demand for cadaveric transplantation in our country. Our aim was to evaluate factors affecting selection of patients on waiting list at our hospital.

METHOD

Patients who have been waiting on list and who were transplanted were compared in order to find factors, which affected the selection of patients. Non-parametric Mann-Whitney U test was used for comparison and cox regression analysis was used to find the risk factors that decrease the probability of transplantation in this retrospective case-control study.

RESULTS

Patients in the transplanted group were significantly younger, had relatively lower body mass index than the awaiting group. Cardiovascular diseases were more in the awaiting group than the transplanted group. There was no patient with diabetes in transplanted group, despite fifteen diabetic patients were in the awaiting group. Selected patients had lower immunologic risk with regard to peak panel reactive antibody levels. No significant difference was found for gender, hypertension, hyperlipidemia, viral serology, time spent on dialysis and on waiting list between two groups. With cox regression analysis female gender, older age, diabetes mellitus, high body mass index, positive hepatitis B serology and high levels of peak class 1-2 peak panel reactive antibody positivity were found as risk factors that decrease the probability of transplantation.

CONCLUSION

A tendency for selection of low risk patients was found with this study. Time and energy consuming complications and short allograft survival after transplantation in high risk patients and the scarcity of cadaveric pool in our country may contribute to this tendency.

Inclusion of dynamic clinical data improves the predictive performance of a 30-day readmission risk model in kidney transplantation

BACKGROUND

Thirty-day readmissions (30DRA) are a highly scrutinized measure of healthcare quality and relatively frequent among kidney transplants (KTX). Development of predictive risk models is critical to reducing 30DRA and improving outcomes. Current approaches rely on fixed variables derived from administrative data. These models may not capture clinical evolution that is critical to predicting outcomes.

METHODS

We directed a retrospective analysis toward: (1) developing parsimonious risk models for 30DRA and (2) comparing efficiency of models based on the use of immutable versus dynamic data. Baseline and in-hospital clinical and outcomes data were collected from adult KTX recipients between 2005 and 2012. Risk models were developed using backward logistic regression and compared for predictive efficacy using receiver operating characteristic curves.

RESULTS

Of 1147 KTX patients, 123 had 30DRA. Risk factors for 30DRA included recipient comorbidities, transplant factors, and index hospitalization patient level clinical data. The initial fixed variable model included 9 risk factors and was modestly predictive (area under the curve, 0.64; 95% confidence interval [95% CI], 0.58-0.69). The model was parsimoniously reduced to 6 risks, which remained modestly predictive (area under the curve, 0.63; 95% CI, 0.58-0.69). The initial predictive model using 13 fixed and dynamic variables was significantly predictive (AUC, 0.73; 95% CI, 0.67-0.80), with parsimonious reduction to 9 variables maintaining predictive efficacy (AUC, 0.73; 95% CI, 0.67-0.79). The final model using dynamically evolving clinical data outperformed the model using static variables (P=0.009). Internal validation demonstrated that the final model was stable with minimal bias.

CONCLUSIONS

We demonstrate that modeling dynamic clinical data outperformed models using immutable data in predicting 30DRA.

Outcome of renal transplantation in patients with type 2 diabetic nephropathy: a single-center experience

BACKGROUND

Renal transplantation has been established as a treatment for end-stage renal disease (ESRD) due to diabetic nephropathy. However, few studies have focused on the outcome after renal transplantation in patients with ESRD and type 2 diabetic nephropathy. To investigate the effect of renal transplantation on ESRD with type 2 diabetic nephropathy, we retrospectively analyzed patients who received renal transplantation at our facility. This study aimed to compare the outcome of renal transplantation for type 2 diabetic nephropathy with that for nondiabetic nephropathy.

METHODS

We studied 290 adult patients, including 65 with type 2 diabetic nephropathy (DM group) and 225 with nondiabetic nephropathy (NDM group), who underwent living-donor renal transplantation at our facility from February 2008 to March 2013. We compared the 2 groups retrospectively.

RESULTS

In the DM and NDM groups, the 5-year patient survival rates were 96.6% and 98.7%, and the 5-year graft survival rates were 96.8% and 98.0%, respectively, with no significant differences between the groups. There were no significant differences in the rates of surgical complications, rejection, and infection. The cumulative incidence of postoperative cardiovascular events was higher in the DM group than in the NDM group (8.5% vs 0.49% at 5 years; P = .002).

CONCLUSIONS

Patient and graft survival rates after renal transplantation for type 2 diabetic nephropathy are not inferior to those for recipients without diabetic nephropathy. Considering the poor prognosis of patients with diabetic nephropathy on dialysis, renal transplantation can provide significant benefits for these patients.

Pharmacokinetics of total and unbound prednisone and prednisolone in stable kidney transplant recipients with diabetes mellitus

BACKGROUND

The corticosteroid prednisone is an important component of posttransplantation immunosuppressive therapy. Pharmacokinetic parameters of prednisone or its pharmacologically active metabolite, prednisolone, are not well characterized in transplant recipients. The objective of this study was to compare the pharmacokinetics of total and unbound prednisone and prednisolone in diabetic and nondiabetic stable kidney transplant recipients and to evaluate the factors influencing plasma protein binding of prednisolone.

METHODS

Prednisone and prednisolone concentration-time profiles were obtained in 20 diabetic and 18 nondiabetic stable kidney transplant recipients receiving an oral dose of 5-10 mg prednisone per day. In addition to drug and metabolite exposures, factors influencing prednisolone protein binding were evaluated using a nonlinear mixed-effects modeling approach. This model takes into account the binding of prednisolone and cortisol to corticosteroid-binding globulin (CBG) in a saturable fashion and binding of prednisolone to albumin in a nonsaturable fashion. Finally, we have investigated the influence of several covariates including diabetes, glucose concentration, hemoglobin A1c, creatinine clearance, body mass index, gender, age, and time after transplantation on the affinity constant (K) between corticosteroids and their binding proteins.

RESULTS

In patients with diabetes, the values of dose-normalized area under the concentration-time curves were 27% and 23% higher for total and unbound prednisolone, respectively. Moreover, the ratio of total prednisolone to prednisone concentrations (active/inactive forms) was higher in diabetic subjects (P < 0.001). Modeling protein binding results revealed that the affinity constant of corticosteroid-binding globulin-prednisolone (KCBG,PL) was related to the patient's gender and diabetes status.

CONCLUSIONS

Higher prednisolone exposure could potentially lead to the increased risk of corticosteroid-related complications in diabetic kidney transplant recipients.

Early rehospitalization after kidney transplantation: assessing preventability and prognosis

Early rehospitalization after kidney transplantation (KT) is common and may predict future adverse outcomes. Previous studies using claims data have been limited in identifying preventable rehospitalizations. We assembled a cohort of 753 adults at our institution undergoing KT from January 1, 2003 to December 31, 2007. Two physicians independently reviewed medical records of 237 patients (32%) with early rehospitalization and identified (1) primary reason for and (2) preventability of rehospitalization. Mortality and graft failure were ascertained through linkage to the Scientific Registry of Transplant Recipients. Leading reasons for rehospitalization included surgical complications (15%), rejection (14%), volume shifts (11%) and systemic and surgical wound infections (11% and 2.5%). Reviewer agreement on primary reason (85% of cases) was strong (kappa = 0.78). Only 19 rehospitalizations (8%) met preventability criteria. Using logistic regression, weekend discharge (odds ratio [OR] 1.59, p = 0.01), waitlist time (OR 1.10, p = 0.04) and longer initial length of stay (OR 1.42, p = 0.03) were associated with early rehospitalization. Using Cox regression, early rehospitalization was associated with mortality (hazard ratio [HR] 1.55; p = 0.03) but not graft loss (HR 1.33; p = 0.09). Early rehospitalization has diverse causes and presents challenges as a quality metric after KT. These results should be validated prospectively at multiple centers to identify vulnerable patients and modifiable processes-of-care.

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.

The effect of diabetes on hospital readmissions

Hospital readmission is an important contributor to total medical expenditures and is an emerging indicator of quality of care. Diabetes, similar to other chronic medical conditions, is associated with increased risk of hospital readmission. Risk factors include previous hospitalization, extremes in age, and socioeconomic barriers. Preliminary studies suggest that acute and/or chronic glycemic control may be of importance when diabetes is the primary diagnosis or when it is a comorbidity. Very limited evidence from prospective randomized controlled trials aimed at improving glycemic control is available. However, whether one concludes that inpatient or outpatient glycemic control is partly responsible for reduced hospitalizations, attention to glycemic control in the hospital may facilitate sustained glycemic control post-discharge. Limited prospective and retrospective evidence suggest that the involvement of a diabetes specialist team may improve readmission rates, but attention to more generalized comprehensive approaches may also be worthwhile. Prospective interventional studies targeting interventions for improving glycemic control are needed to determine whether glycemic control impacts readmission rates.

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.