Trends in the effects of pre-transplant diabetes on mortality and cardiovascular events after kidney transplantation

Pretransplant Diabetes Mellitus and Kidney Transplant Outcomes: A Systematic Review and Meta-Analysis

BACKGROUND

Studies have shown that kidney transplantation is affected by pretransplant comorbidities. However, their impacts on mortality and graft loss remain inconsistent. Therefore, the purpose of our study was to collect data from multiple studies to analyze the impact of pretransplant diabetes mellitus on kidney transplant outcomes.

METHOD

We conducted comprehensive searches of the PubMed, Embase, and Web of Science databases to identify studies that met the inclusion criteria. All-cause mortality and graft loss were compared between patients with pretransplant diabetes mellitus and patients without pretransplant diabetes mellitus. The impact of pretransplant diabetes mellitus was assessed using pooled hazard ratios and 95% confidence intervals.

RESULT

This meta-analysis included 103,983 kidney transplant recipients with diabetes mellitus and 271,667 kidney transplant recipients without diabetes mellitus. All-cause mortality was 68% (HR:1.68, 95% CI 1.65-1.71, P < .01) greater in patients with pretransplant diabetes mellitus than in patients without diabetes mellitus. Additionally, graft loss was 11% (HR:1.11, 95% CI 1.07-1.15, P < .01) greater in diabetic patients than in nondiabetic patients. The heterogeneity in the 2 analyses was very significant and meta-regression was used to determine the source of heterogeneity. Unfortunately, it was not found in the analysis of all-cause mortality. However, in the analysis of graft loss, sample size and median age at transplantation may be sources of high heterogeneity.

CONCLUSION

Pretransplant diabetes mellitus is associated with increased risk of mortality and graft loss. However, due to significant heterogeneity and insufficient evidence, further studies are still needed to support our conclusions.

Influence of diabetes and other risk factors on in-hospital mortality following kidney transplantation: an analysis of the Spanish National Hospital Discharge Database from 2016 to 2020

INTRODUCTION

To assess time trends in incidence, clinical characteristics, complications, and hospital outcomes among patients with type 1 diabetes (T1D), with type 2 diabetes (T2D), and patients without diabetes who underwent kidney transplant (KT); to identify variables associated with in-hospital mortality (IHM); and to determine the impact of the COVID-19 pandemic.

RESEARCH DESIGN AND METHODS

We used a nationwide discharge database to select KT recipients admitted to Spanish hospitals from 2016 to 2020. We stratified patients according to diabetes status. We used multivariable logistic regression to identify the variables associated with IHM.

RESULTS

A total of 14 594 KTs were performed in Spain (T2D, 22.28%; T1D, 3.72%). The number of KTs rose between 2016 and 2019 and and decreased from 2019 to 2020 in all groups. In patients with T2D, the frequency of KT complications increased from 21.08% in 2016 to 34.17% in 2020 (p<0.001). Patients with T2D had significantly more comorbidity than patients with T1D and patients without diabetes (p<0.001). Patients with T1D experienced KT rejection significantly more frequently (8.09%) than patients with T2D (5.57%).COVID-19 was recorded in 26 out of the 2444 KTs performed in 2020, being found in 6 of the 39 patients deceased that year (15.38%) and in 0.83% of the survivors.The variables associated with IHM were comorbidity and complications of KT. The presence of T1D was associated with IHM (OR 2.6; 95% CI 1.36 to 5.16) when patients without diabetes were the reference category. However, T2D was not associated with a higher IHM (OR 0.86; 95% CI 0.61 to 1.2).

CONCLUSIONS

The COVID-19 pandemic led to a decrease in the number of transplants. Patients with T1D have more rejection of the transplanted organ than patients with T2D. Fewer women with T2D undergo KT. The presence of T1D is a risk factor for IHM.

Effect of post-transplant diabetes mellitus on cardiovascular events and mortality: a single-center retrospective cohort study

PURPOSE

This study aims to investigate the impact of post-transplant diabetes mellitus (PTDM) on cardiovascular events, graft survival, and mortality and to determine the risk factors involved in developing PTDM.

METHODS

A total of 703 patients who underwent kidney transplantation were included in the study. The total sample was subdivided into three groups: (i) patients with PTDM; (ii) patients who had diabetes before the transplantation (DM); and (iii) patients without diabetes (NoDM). The data on graft failure, cardiovascular events, all-cause mortality, and the potential risk factors that play a role in developing PTDM were recorded and analyzed.

RESULTS

The patients were followed for a median of 80 (6-300) months after transplantation. Out of all patients, 41 (5.8%) had DM before transplantation, and 101 (14.4%) developed PTDM. Recipient BMI, post-transplant fasting plasma glucose, and hepatitis C seropositivity were independent risk factors for PTDM development. The incidence of cardiovascular events was 6.1% in the NoDM group, 14.9% in the PTDM group, and 29.3% in the DM group (p < 0.001). In PTDM patients, hepatitis C seropositivity and the recipient's age at transplant were independent predictors of a cardiovascular event. There were no significant differences between the groups regarding the risk of graft loss. PTDM had no significant effect on all-cause mortality. However, the survival rates of DM patients were significantly reduced compared to those with NoDM or PTDM.

CONCLUSIONS

PTDM had no impact on patient survival. Hepatitis C seropositivity and recipient age at transplant predicted cardiovascular events in PTDM patients.

Stratification of Kidney Transplant Recipients Into Five Subgroups Based on Temporal Disease Trajectories

Background

Kidney transplantation is the treatment of choice for patients with end-stage renal disease. Considerable clinical research has focused on improving graft survival and an increasing number of kidney recipients die with a functioning graft. There is a need to improve patient survival and to better understand the individualized risk of comorbidities and complications. Here, we developed a method to stratify recipients into similar subgroups based on previous comorbidities and subsequently identify complications and for a subpopulation, laboratory test values associated with survival.

Methods

First, we identified significant disease patterns based on all hospital diagnoses from the Danish National Patient Registry for 5752 kidney transplant recipients from 1977 to 2018. Using hierarchical clustering, these longitudinal patterns of diseases segregate into 3 main clusters of glomerulonephritis, hypertension, and diabetes. As some recipients are diagnosed with diseases from >1 cluster, recipients are further stratified into 5 more fine-grained trajectory subgroups for which survival, stratified complication patterns as well as laboratory test values are analyzed.

Results

The study replicated known associations indicating that diabetes and low levels of albumin are associated with worse survival when investigating all recipients. However, stratification of recipients by trajectory subgroup showed additional associations. For recipients with glomerulonephritis, higher levels of basophils are significantly associated with poor survival, and these patients are more often diagnosed with bacterial infections. Additional associations were also found.

Conclusions

This study demonstrates that disease trajectories can confirm known comorbidities and furthermore stratify kidney transplant recipients into clinical subgroups in which we can characterize stratified risk factors. We hope to motivate future studies to stratify recipients into more fine-grained, homogenous subgroups to better discover associations relevant for the individual patient and thereby enable more personalized disease-management and improve long-term outcomes and survival.

Impact of Type 2 Diabetes on the Outcomes of Solid Organ Transplantations in the U.S.: Data From a National Registry

OBJECTIVE

Type 2 diabetes (T2D) is a major driver of chronic diseases around the globe. The aim was to assess the impact of T2D on the outcomes of solid organ transplantations.

RESEARCH DESIGN AND METHODS

We used the Scientific Registry of Transplant Recipients from 2006 to 2021 to collect data for all patients age ≥18 years who received a lung, heart, liver, or kidney transplant in the U.S.

RESULTS

We included 462,692 solid organ transplant recipients: 31,503 lung, 38,004 heart, 106,639 liver, and 286,440 kidney transplantations. The prevalence of pretransplantation T2D was 15% in lung, 26% in heart, 25% in liver, and 30% in kidney transplant recipients, increasing over time. Posttransplantation mortality was significantly higher among transplant recipients with T2D versus those without T2D (lung 32.1% vs. 29.3% [3 years], 46.4% vs. 42.6% [5 years]; P < 0.01; heart 11.2% vs. 9.1% [1 year], 24.4% vs. 20.6% [5 years]; P < 0.0001; liver 10.6% vs. 8.9% [1 year], 26.2% vs. 22.0% [5 years]; P < 0.0001; kidney 5.3% vs. 2.5% [1 year], 20.8% vs. 10.1% [5 years]; P < 0.0001). Independent association of pretransplantation T2D with higher posttransplantation mortality was significant after adjustment for clinicodemographic confounders (adjusted hazard ratio in lung transplant recipients 1.08 [95% CI 1.03-1.13]; heart 1.26 [1.20-1.32]; liver 1.25 [1.21-1.28]; kidney 1.65 [1.62-1.68]; P < 0.01).

CONCLUSIONS

The prevalence of T2D in solid organ transplantation candidates is increasing. In all solid organ transplantations, pretransplantation T2D was independently associated with higher posttransplantation mortality, most profoundly in kidney transplantations.

Shear wave elastography parameters adds prognostic value to adverse outcome in kidney transplantation recipients

INTRODUCTION

The tissue stiffness of donor kidneys in transplantation may increase due to pathological changes such as glomerulosclerosis and interstitial fibrosis, and those changes associate worse outcomes in kidney transplantation recipients. Ultrasound elastography is a noninvasive imaging examination with the ability to quantitatively reflect tissue stiffness. Aim of this study was to evaluate the prognostic value of ultrasound elastography for adverse kidney outcome in kidney transplantation recipients.

METHODS

Shear wave elastography (SWE) examinations were performed by two independent operators in kidney transplantation recipients. The primary outcome was a composite of kidney graft deterioration, all-cause re-hospitalization, and all-cause mortality. Survival analysis was calculated by Kaplan-Meier curves with the log-rank test and Cox regression analysis.

RESULTS

A total of 161 patients (mean age 46 years, 63.4% men) were followed for a median of 20.1 months. 27 patients (16.77%) reached the primary endpoint. The mean and median tissue stiffness at the medulla (hazard ratio: 1.265 and 1.229, respectively), estimated glomerular filtration rate (eGFR), and serum albumin level were associated with the primary outcome in univariate Cox regression. Adding mean or median medulla SWE to a baseline model containing eGFR and albumin significantly improved its discrimination (C-statistics: 0.736 for the baseline, 0.766 and 0.772 for the model added mean and median medulla SWE, respectively).

CONCLUSION

The medullary tissue stiffness of kidney allograft measured by shear wave elastography may provide incremental prognostic value to adverse outcomes in kidney transplantation recipients. Including SWE parameters in kidney transplantation recipients management could be considered to improve risk stratification.

Cardiovascular Outcomes in De Novo Kidney Transplant Recipients Receiving Everolimus and Reduced Calcineurin Inhibitor or Standard Triple Therapy: 24-month Post Hoc Analysis From TRANSFORM Study

BACKGROUND

The comparative impact of everolimus (EVR)-based regimens versus standard of care (mycophenolic acid+standard calcineurin inhibitor [MPA+sCNI]) on cardiovascular outcomes in de novo kidney transplant recipients (KTRs) is poorly understood. The incidence of major adverse cardiac events (MACEs) in KTRs receiving EVR+reduced CNI (rCNI) or MPA+sCNI from the TRANSplant eFficacy and safety Outcomes with an eveRolimus-based regiMen study was evaluated.

METHODS

The incidence of MACE was determined for all randomized patients receiving at least 1 dose of the study drug. Factors associated with MACEs were determined by logistic regression. Risk of MACE out to 3 y post-study was calculated using the Patient Outcome in Renal Transplantation equation.

RESULTS

MACE occurred in 81 of 1014 (8.0%; EVR+rCNI) versus 89 of 1012 (8.8%; MPA+sCNI) KTRs (risk ratio, 0.91 [95% confidence interval [CI], 0.68-1.21]). The incidence of circulatory death, myocardial infarction, revascularization, or angina was similar between the arms. Incidence of MACE was similar between EVR+rCNI and MPA+sCNI arms with a higher incidence in prespecified risk groups: older age, pretransplant diabetes (15.1% versus 15.9%), statin use (8.5% versus 10.8%), and low estimated glomerular filtration rate (Month 2 estimated glomerular filtration rate <30 versus >60 mL/min/1.73 m 2 ; odds ratio, 2.23 [95% CI, 1.02-4.86]; P = 0.044), respectively. Predicted risk of MACE within 3 y of follow-up did not differ between the treatment arms.

CONCLUSIONS

Cardiovascular morbidity and mortality were similar between de novo KTRs receiving EVR+rCNI and MPA+sCNI. EVR+rCNI is a viable alternative to the current standard of care in KTRs.

Impact of Post-Transplant Diabetes Mellitus on Survival and Cardiovascular Events in Kidney Transplant Recipients

BACKGRUOUND

Post-transplant diabetes mellitus (PTDM) is a risk factor for poor outcomes after kidney transplantation (KT). However, the outcomes of KT have improved recently. Therefore, we investigated whether PTDM is still a risk factor for mortality, major atherosclerotic cardiovascular events (MACEs), and graft failure in KT recipients.

METHODS

We studied a retrospective cohort of KT recipients (between 1994 and 2017) at a single tertiary center, and compared the rates of death, MACEs, overall graft failure, and death-censored graft failure after KT between patients with and without PTDM using Kaplan-Meier analysis and a Cox proportional hazard model.

RESULTS

Of 571 KT recipients, 153 (26.8%) were diagnosed with PTDM. The mean follow-up duration was 9.6 years. In the Kaplan- Meier analysis, the PTDM group did not have a significantly increased risk of death or four-point MACE compared with the non-diabetes mellitus group (log-rank test, P=0.957 and P=0.079, respectively). Multivariate Cox proportional hazard models showed that PTDM did not have a negative impact on death or four-point MACE (P=0.137 and P=0.181, respectively). In addition, PTDM was not significantly associated with overall or death-censored graft failure. However, patients with a long duration of PTDM had a higher incidence of four-point MACE.

CONCLUSION

Patient survival and MACEs were comparable between groups with and without PTDM. However, PTDM patients with long duration diabetes were at higher risk of cardiovascular disease.

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.

Abdominal Organ Transplantation: Noteworthy Literature in 2021

This review highlights noteworthy literature pertinent to anesthesiologists and critical care physicians caring for patients undergoing abdominal organ transplantation. In 2021, we identified noteworthy papers from over 1,200 peer-reviewed publications on pancreatic transplantation, over 1,400 on intestinal transplantation, and over 9,000 on kidney transplantation. The liver transplantation section focuses on clinical trials and systematic reviews and meta-analyses published in 2021 and features 20 selected papers. COVID-19 and abdominal organ transplantation are featured in an independent section.

Impact of diabetes mellitus developing after kidney transplantation on patient mortality and graft survival: a meta-analysis of adjusted data

BACKGROUND

Post-transplant diabetes mellitus (PTDM) occurs in 10-30% of kidney transplant recipients. However, its impact on mortality and graft survival is still ambiguous. Therefore, the current study aimed to analyze if PTDM increases mortality and graft failure by pooling multivariable-adjusted data from individual studies.

METHODS

PubMed, Embase, and CENTRAL, and Google Scholar were searched for studies comparing mortality and graft failure between PTDM and non-diabetic patients. Multivariable-adjusted hazard ratios (HR) were pooled in a random-effects model.

RESULTS

Fourteen retrospective studies comparing 9872 PTDM patients with 65,327 non-diabetics were included. On pooled analysis, we noted a statistically significant increase in the risk of all-cause mortality in patients with PTDM as compared to non-diabetics (HR: 1.67 95% CI 1.43, 1.94 I² = 57% p < 0.00001). The meta-analysis also indicated a statistically significant increase in the risk of graft failure in patients with PTDM as compared to non-diabetics (HR: 1.35 95% CI 1.15, 1.58 I² = 78% p = 0.0002). Results were stable on sensitivity analysis. There was no evidence of publication bias on funnel plots.

CONCLUSION

Kidney transplant patients developing PTDM have a 67% increased risk of all-cause mortality and a 35% increased risk of graft failure. Further studies are needed to determine the exact cause of increased mortality and the mechanism involved in graft failure.