Pretransplant Diabetes Research Articles

Impact of New-Onset Diabetes after Transplantation on Cardiovascular Risk and Mortality in Korea: A Nationwide Population-Based Study.

Limited data are available on the adverse effects of new-onset diabetes after transplantation (NODAT) in solid organ transplantation (TPL) other than kidney. This study aimed to identify the risk of complications associated with NODAT in recipients of kidney, liver, or heart TPL. Using the Korean National Health Insurance Service database, recipients of kidney, liver, or heart TPL between 2009 and 2015 were identified. The incidence of coronary artery disease (CAD), cerebrovascular accident (CVA), and malignancy was compared across groups with NODAT, pretransplant diabetes mellitus (DM), and without DM using Cox regression analysis. A total of 9,632 kidney, liver, or heart TPL recipients were included. During the median follow-up of 5.9 years, NODAT independently increased the incidence of CAD (hazard ratio [HR], 2.46; 95% confidence interval [CI], 1.39 to 4.30) and overall mortality (HR, 1.48; 95% CI, 1.14 to 1.95) compared to the reference group even after adjustment for confounders; this was more prominent in kidney TPL than in liver TPL. The risk of CVA was significantly increased by pretransplant DM but not by NODAT in both kidney and liver TPL (HR, 2.47; 95% CI, 1.68 to 3.65; and HR, 3.18; 95% CI, 1.07 to 9.48, respectively). NODAT increased the risk of malignancy in the crude model, which lost its statistical significance after confounder adjustment. NODAT independently increases the risk of CAD and mortality after TPL, which is more evident in kidney recipients. There was no additional increased risk of CVA or malignancy with NODAT in solid organ TPL.

#1207 Post transplant diabetes mellitus in kidney transplanted patients: factors related and impact on long-term outcome

Abstract Background Alterations in glucose metabolism are one of the most important complications of renal transplant recipients. The aim of this study was to analyze their prevalence and determinants and assess their influence on the main long-term clinical outcomes in a cohort of kidney transplant recipients. Methods we retrospectively analyzed the data of 832 kidney transplant recipients between 2004 and 2020 in our center. Patients were studied at 1 (T1), 6 (T6), and 12 (T12) months after transplantation and followed clinically for a follow-up time of 103 ± 60 months. At T6, an oral glucose tolerance test (OGTT) was performed in 484 patients. Results The mean age of the cohort studied was 49 ± 13 years, with a mean dialysis vintage of 54 ± 52 months. Hemodialysis was the therapy before KTx in 70.6% of patients, whereas 20.9% had been treated with peritoneal dialysis. The 8.5% of patients received a pre-emptive KTx. Fifty-seven percent of the patients were male and 83.5% had a KTx from a deceased donor. Both at T1 and T12, immunosuppressive therapy was mainly composed of steroids (average cumulative dose at T12: 2914 ± 962 mg), calcineurin inhibitors and mycophenolate. In our cohort at T12, diabetic patients were 237 (28.6%), of which 51 (6.2%) were already affected by diabetes before KTx. Of note, we diagnosed diabetes by OGTT in 23 KTxps, while in 90 KTxps, OGTT showed prediabetic alterations. Patients with glucose metabolism abnormalities were significantly older, had an altered lipid profile associated with higher BMI values and a significantly higher inflammatory index. Interestingly, our data showed that graft loss was not affected by any type of alteration of glucose metabolism. On the contrary, we found that mortality was significantly higher in patients with pre-transplant diabetes and in those with alterations in glucose metabolism detected with OGTT (both including diabetes and considering only IGT and IFG). Conclusions Our data showed that age at transplantation, lipid profile, and the inflammatory state were the variables that most influenced the development of PTDM. Interestingly, mortality was significantly associated with pre-transplant diabetes and alteration in glucose metabolism. This allowed us to highlight the impact of prediabetes status and the importance of OGTT as a screening test in post-transplant and potentially pre-transplant. Future randomized controlled trials will be able to resume the topic, including the analysis of the effects of new antidiabetic drugs.

Oral Glucose Tolerance Test as a Risk Marker for Developing Post-Transplant Diabetes Mellitus

IntroductionThe incidence of post-transplant diabetes mellitus (PTDM) can reach 30% during the first 6 months after kidney transplantation (KT), increasing the risk of graft failure and mortality. There is no well-established biomarker for predicting PTDM occurrence. This study evaluated the association between the abnormal 2-hour oral glucose tolerance test (OGTT) and the PTDM incidence. MethodsA retrospective single-center study, including adult kidney transplant recipients from deceased donors, was performed between March 2021 and June 2022. Exclusion criteria: age <18 years; pretransplant diabetes mellitus (DM); death with a functioning graft; loss of follow-up and/or graft failure before 6 months post-transplant. The results of pretransplant OGTT, fasting (FPG), and afternoon plasma glucose levels at hospitalization and FPG in the first, second, and third months post-transplant were evaluated. For analysis, patients were grouped according to the PTDM diagnosis: PTDM and non-PTDM. ResultsFrom 164 KT performed in the period, 50 (30%) were included, most male (n = 34, 68%), with a mean age of 48.3 ± 12.5 years. Nine patients (18%) developed PTDM, 44% between 3 and 6 months. General characteristics and immunosuppressive therapy were similar between the groups. The mean FPG in the pretransplant OGTT was significantly higher in the PTDM group compared with the non-PTDM group (85.7 ± 7.9 vs 79.1 ± 8.2, P = .03). The number of patients classified as impaired glucose tolerance (IGT) on the pre-transplant OGTT was significantly higher in the PTDM group. ConclusionIGT in the pretransplant OGTT was associated with PTDM cases in kidney transplant recipients without a previous diagnosis of DM.

Post-Transplant Diabetes Mellitus in Kidney-Transplanted Patients: Related Factors and Impact on Long-Term Outcome.

This study aimed to investigate the prevalence and determinants of glucose metabolism abnormalities and their impact on long-term clinical outcomes in kidney transplant recipients (KTxps). A retrospective analysis of 832 KTxps (2004-2020) was performed. Patients were assessed at 1 (T1), 6 (T6), and 12 (T12) months post-transplantation and clinically followed for an average of 103 ± 60 months. At T6, 484 patients underwent an oral glucose tolerance test for the diagnosis of alterations in glucose metabolism (AMG+) or post-transplant diabetes mellitus (PTDM+). The prevalence of pre-transplant diabetes was 6.2%, with 22.4% of PTDM+ within the 1st year. Patients with AMG were older and exhibited altered lipid profiles, higher body mass index, and increased inflammatory indices. Age at transplantation, lipid profile, and inflammatory status were significant determinants of PTDM. Graft loss was unaffected by glucose metabolism alterations. Survival analysis demonstrated significantly worse long-term survival for KTxps with diabetes (pre- and PTDM+, p = 0.04). In a comparison of the ND and PTDM+ groups, no significant differences in death with a functioning graft were found. The AMG+ group exhibited worse survival (p < 0.001) than AMG-, even after excluding patients with diabetes mellitus. Future randomized controlled trials are necessary to delve deeper into this subject, specifically examining the effects of new antidiabetic treatments.

The comprehensive incidence and risk factors of fracture in kidney transplant recipients: A meta-analysis.

Kidney transplant recipients are at high risk of fracture due to many factors such as nutritional status, hyperparathyroidism, acidosis and steroid administration. The current meta-analysis aimed to comprehensively analyse the incidence and risk factors of fracture in kidney transplant recipients. A systematic search on Embase, Web of Science, PubMed and Cochrane Library until November 2023 was performed. RStudio software was used to analyse data. Twenty-eight eligible studies containing 310 530 kidney transplant recipients were included in the analysis. The pooled incidence of fracture was 10% (95% confidence interval [CI]: 7%-13%) generally. When divided by regions, it was further observed that the pooled incidence of fracture was 13% (95% CI: 9%-17%) in Europe, 11% (95% CI: 6%-16%) in North America, 7% (95% CI: 3%-11%) in Asia. Regarding the risk factors, pooled analysis revealed that age of recipient (hazard ratio [HR] = 1.50, 95% CI: 1.17-1.91), female sex (HR = 1.45, 95% CI: 1.36-1.53), pretransplantation diabetes (HR = 1.76, 95% CI: 1.58-1.97), pretransplantation fracture history (HR = 2.28, 95% CI: 1.86-2.78), dialysis duration (HR = 1.09, 95% CI: 1.01-1.17) and deceased donor (HR = 1.21, 95% CI: 1.05-1.39) related to higher risk of fracture. The general quality of included studies was acceptable, and no publication bias existed except for the analysis between age of recipient and fracture incidence; further trim and fill method indicated age of recipient showed a correlation trend with the fracture incidence without the statistical significance. The pooled incidence of fracture reaches 10% in kidney transplant recipients, which relates to age of recipient, female sex, pretransplantation diabetes or fracture history, dialysis duration and decease donor.

Arteriovenous fistula for haemodialysis as a predictor of de novo heart failure in kidney transplant recipients.

The haemodynamic effects of a functioning haemodialysis arteriovenous fistula (AVF) can cause or exacerbate heart failure (HF). We investigated whether the presence of an AVF at the time of kidney transplant (KT) is associated with de novo HF. This was an observational cohort study including adult patients who received a KT in the West of Scotland between 2010 and 2020. We evaluated the risk and associations of pretransplant factors with de novo HF, alone and as a composite cardiovascular (CV) outcome (including non-fatal myocardial infarction, non-fatal stroke, de novo HF and CV death). Multivariable proportional hazards regression and sensitivity analyses were used to identify independent correlates of the outcomes. Among 1330 included patients, the incident rate of de novo HF after transplantation was 58/1000 person-years [95% confidence interval (CI) 50-67] in AVF patients (n=716) compared with 33/1000 person-years (95% CI 27-41) in non-AVF patients (n=614). De novo HF was associated with the presence of an AVF [adjusted hazard ratio (aHR) 2.14 (95% CI 1.40-3.26)], duration of dialysis [aHR 1.03/year increase (95% CI 1.01-1.04)], age at transplant [aHR 1.03/year increase (95% CI 1.02-1.05)], female sex [aHR 1.93 (95% CI 1.40-2.65)] and pretransplant diabetes [aHR 2.43 (95% CI 1.48-4.01)]. The presence of an AVF was also associated with the composite CV outcome [aHR 1.91 (95% CI 1.31-2.78)]. The presence of an AVF may be an underrecognized modifiable predictor of de novo HF posttransplantation.

INCIDENCE OF KIDNEY STONES IN KIDNEY TRANSPLANT RECIPIENTS

The incidence of kidney stones in kidney transplant recipients is a significant concern within the realm of post-transplant complications. The study's main objective is to find the incidence of kidney stones in kidney transplant recipients. This retrospective study was conducted at the Institute of Kidney Diseases Peshawar from 2017 to 2023. Data was collected from 420 kidney transplant patients. All patients above 18 years with available medical records who underwent renal transplants in IKD and outside IKD and who presented to IKD for follow-up were included in the study—patients with a history of kidney stones before the transplant process were excluded. Demographic information, including age, gender, and pre-transplant comorbidities, was recorded for each patient. Data were collected from 420 patients with kidney transplants. Out of 420 patients, 35 patients developed kidney stones after transplantation. The mean age of the patients who developed stones was 48.7 ± 10.2 years. There were 45.7% male and 54.3% female patients in the kidney stone group. 25.7% of patients had pre-transplant DM. Most kidney stones analyzed in the study comprised calcium oxalate, representing 18 cases, followed by calcium phosphate with eight instances. The correlation analysis revealed that age and gender did not significantly correlate with kidney stone formation in transplant patients, with p-values of 0.32 and 0.17, respectively. It is concluded that kidney transplant recipients exhibit a notable incidence of kidney stone formation, with tacrolimus-based immunosuppressive regimens potentially contributing to this risk. While age and pre-transplant diabetes show trends toward association with kidney stone development.

Feasibility and performance of continuous glucose monitoring in hyperglycemia after lung transplantation.

Post-Transplant Diabetes Mellitus (PTDM) affects 20%-40% of lung transplant recipients within five years, impacting rejection, infection, cardiovascular events, and mortality. Continuous glucose monitoring (CGM) is used in diabetes but not well-studied in PTDM. This study assessed CGM performance in detecting hypoglycemia and hyperglycemia post-lung transplantation, compared to self-monitoring blood glucose. A prospective pilot study included 15 lung transplant patients (mean age 58.6 years; 53.3% men; 73.3% with pre-transplantation diabetes) managing hyperglycemia with insulin. Patients used a blinded CGM and self-monitored glucose for ten days. Data were categorized (% time in range, % high, % very high, % low, % very low) and compared using paired t-tests. CGM showed superior hyperglycemia detection. Mean differences for "% very high", "% high", and "% high and % very high" were 7.12 (95% CI, 1.8-12.4), 11.1 (95% CI, 3.5-18.8), and 18.3 (95% CI: 7.37-29.24), respectively. No significant difference was found for "% low and % very low". All patients reported a positive CGM experience. CGM use post-lung transplantation seems feasible and offers advantages in detecting hyperglycemia and in optimizing glucose management. Study limitations include a small sample size, requiring larger studies to assess glycemic control, hypoglycemia detection, and transplant outcomes.

The impact of pre-transplantation diabetes and obesity on acute graft-versus-host disease, relapse and death after allogeneic hematopoietic cell transplantation: a study from the EBMT Transplant Complications Working Party

Obesity and diabetes can modulate immune responses, which may impact allogeneic HCT outcomes and GvHD. From the EBMT registry, we included 36,539 adult patients who underwent allogeneic HCT for a hematological malignancy between 2016 and 2020. Of these, 5228 (14%) had obesity (BMI ≥ 30 kg/m2), 1415 (4%) had diabetes (requiring treatment with insulin or oral hypoglycemics), and 688 (2%) had obesity + diabetes pre-transplantation. Compared with patients without diabetes or obesity, the hazard ratio (HR) of grade II–IV acute GvHD was 1.00 (95% confidence interval [CI] 0.94–1.06, p = 0.89) for patients with obesity, 0.95 (CI 0.85–1.07, p = 0.43) for patients with diabetes, and 0.96 (CI 0.82–1.13, p = 0.63) for patients with obesity + diabetes. Non-relapse mortality was higher in patients with obesity (HR 1.08, CI 1.00–1.17, p = 0.047), diabetes (HR 1.40, CI 1.24–1.57, p < 0.001), and obesity + diabetes (HR 1.38, CI 1.16–1.64, p < 0.001). Overall survival after grade II–IV acute GvHD was lower in patients with diabetes (HR 1.46, CI 1.25–1.70, p < 0.001). Pre-transplantation diabetes and obesity did not influence the risk of developing acute GvHD, but pre-transplantation diabetes was associated with poorer survival after acute GvHD.

Diabetes mellitus and blood glucose variability increases the 30-day readmission rate after kidney transplantation.

Inpatient hyperglycemia is an established independent risk factor among several patient cohorts for hospital readmission. This has not been studied after kidney transplantation. Nearly one-third of patients who have undergone a kidney transplant reportedly experience 30-day readmission. Data on first-time solitary kidney transplantations were retrieved between September 2015 and December 2018. Information was linked to the electronic health records to determine diagnosis of diabetes mellitus and extract glucometric and insulin therapy data. Univariate logistic regression analysis and the XGBoost algorithm were used to predict 30-day readmission. We report the average performance of the models on the testing set on bootstrapped partitions of the data to ensure statistical significance. The cohort included 1036 patients who received kidney transplantation; 224 (22%) experienced 30-day readmission. The machine learning algorithm was able to predict 30-day readmission with an average area under the receiver operator curve (AUC) of 78% with (76.1%, 79.9%) 95% confidence interval (CI). We observed statistically significant differences in the presence of pretransplant diabetes, inpatient-hyperglycemia, inpatient-hypoglycemia, minimum and maximum glucose values among those with higher 30-day readmission rates. The XGBoost model identified the index admission length of stay, presence of hyper- and hypoglycemia, the recipient and donor body mass index (BMI) values, presence of delayed graft function, and African American race as the most predictive risk factors of 30-day readmission. Additionally, significant variations in the therapeutic management of blood glucose by providers were observed. Suboptimal glucose metrics during hospitalization after kidney transplantation are associated with an increased risk for 30-day hospital readmission. Optimizing hospital blood glucose management, a modifiable factor, after kidney transplantation may reduce the risk of 30-day readmission.

Posttransplantation diabetes mellitus after liver transplant and the impact of family history of diabetes in a Mexican cohort

Introduction and aimsPosttransplantation diabetes mellitus (PTDM) is a serious long-term complication that has a negative impact on graft and patient survival. The purpose of the present study was to describe the incidence of PTDM in a Mexican cohort and evaluate its association with a previous family history of diabetes (FHD). MethodsA retrospective single-center cohort study was conducted on patients undergoing liver transplantation (LT). The primary outcome was time from LT to PTDM. The diagnosis of PTDM was established using the ADA criteria. A mediation analysis that used adjusted Cox regression models and considered pretransplant prediabetes a mediator was performed, to determine the total effect and direct effect of FHD on PTDM. ResultsA total of 152 patients were included, with a median follow-up time of 41 months; 19.2% (n = 29) had pretransplant diabetes. During the follow-up time, 15% of patients developed PTDM (n = 23), with an incidence rate of 4.71 cases/100 person-years. PTDM was significantly higher in patients with FHD, compared with those with no FHD (8.72 cases/100 person-years vs 2.04 cases/100 person-years, respectively; p = 0.001). The adjusted hazard ratio of PTDM for FHD was 4.14 (95% CI 1.60–10.7), p = 0.005) and 3.48 (95% CI 1.35–9.01, p = 0.010), when further controlled for pretransplant prediabetes. ConclusionThe occurrence of PTDM was similar to that reported in most international studies. As with type 2 diabetes, family history plays an important role in the development of PTDM, even after accounting for pretransplant prediabetes. Patients with FHD should undergo a stricter metabolic program.

Diabetes mellitus posterior a trasplante hepático y el impacto del antecedente familiar de diabetes en una cohorte mexicana

Introduction and aimsPosttransplantation diabetes mellitus (PTDM) is a serious long-term complication that has a negative impact on graft and patient survival. The purpose of the present study was to describe the incidence of PTDM in a Mexican cohort and evaluate its association with a previous family history of diabetes (FHD). MethodsA retrospective single-center cohort study was conducted on patients undergoing liver transplantation. The primary outcome was time from liver transplantation to PTDM. The diagnosis of PTDM was established using the ADA criteria. A mediation analysis that used adjusted Cox regression models and considered pretransplant prediabetes a mediator was performed, to determine the total effect and direct effect of FHD on PTDM. ResultsA total of 152 patients were included, with a median follow-up time of 41 months; 19.2% (n=29) had pretransplant diabetes. During the follow-up time, 15% of patients developed PTDM (n=23), with an incidence rate of 4.71 cases/100 person-years. PTDM was significantly higher in patients with FHD, compared with those with no FHD (8.72 cases/100 person-years vs 2.04 cases/100 person-years, respectively; P=.001). The adjusted hazard ratio of PTDM for FHD was 4.14 (95% CI 1.60-10.7), P=.005) and 3.48 (95% CI 1.35-9.01, P=.010), when further controlled for pretransplant prediabetes. ConclusionThe occurrence of PTDM was similar to that reported in most international studies. As with type 2 diabetes, family history plays an important role in the development of PTDM, even after accounting for pretransplant prediabetes. Patients with FHD should undergo a stricter metabolic program.

The Long-Term Outcome of Kidney Transplant Recipients in the Eighth Decade Compared With Recipients in the Seventh Decade of Life

With the aging of the population, more older patients are being considered for kidney transplantation; therefore, it is crucial to evaluate the risks and benefits of transplantation in this population. This study aimed to assess long-term outcomes of kidney transplantation in a cohort of patients who underwent kidney transplantation at age >70 years, compared with patients aged 60 to 69 years at transplantation. Included in the study were 261 consecutive kidney transplant recipients: 52 were aged >70 years, and 209 were aged 60 to 69 years at transplantation. Data were collected retrospectively and analyzed using multivariate logistic regression to identify potential outcome risk factors. The number of transplants in both groups increased during the study period. Mortality after transplantation was strongly correlated to age (hazard ratio [HR]=1.11; 95% CI, 1.05-1.18; P < .001), deceased donor (HR=2.0; 95% CI, 1.1-3.8; P=.034), and pretransplant diabetes (HR=2.9; 95% CI, 1.7-4.9; P=.001). Recipients aged >70 years had an increased risk of death censored graft failure (HR=2.98; 95% CI, 1.56-5.74; P=.001). In living donor transplants, 3-year survival was 80% in recipients age >70 years, compared with 98% in the 60- to 69-year group. Five-year survival was 71% and 92%, respectively. In deceased donor transplants, 3-year survival was 63% and 78%, and 5-year survival was 58% and 72%, respectively. The risk of malignancy (excluding nonmelanotic skin cancer) was nearly triple in the age >70 years group (HR=2.96; 95% CI, 1.3-6.8; P=.01). Patient and graft survival in kidney recipients in the eighth decade is worse compared with recipients in the seventh decade of life. However, it is improved with living kidney donation.

The Impact of Urinary Tract Infections in Kidney Transplant Recipients: A Six-Year Single-Center Experience.

Background Urinary tract infections (UTIs) are the most common infections following kidney transplantation. Risk factors for UTIs in kidney transplant recipients include female gender, age, pre-transplant urinary tract abnormalities, diabetes, and recurrent UTIs. Infections of the bladder or urethra are termed lower UTIs, while those involving the kidneys or ureters are called upper UTIs. Methods We retrospectively screened our hospital information system to identify all patients who underwent kidney transplantation in the surgery department at King Abdulaziz Medical Center in Riyadh. A total of 553 records were ultimately included in the final analysis. Results A total of 553 patients were ultimately included in the analysis. More than half of the patients were males (62.4%), and 31.1% were aged between 45 and 60 years. Of these, 230 patients had a UTI, representing 41.59% of the sample. The most commonly reported causes were hypertensive nephrosclerosis (43.4%) and diabetic nephropathy (28.8%). The most frequently isolated causative agents were Escherichiacoli (51.0%) and Klebsiella pneumoniae (21.8%). UTIs were significantly more prevalent among females, accounting for 73.6% of cases. Antibiotics were used in 86.5% of patients, with trimethoprim/sulfamethoxazole (65.8%) and ciprofloxacin (54.8%) being the most commonly prescribed. Conclusion About half of the patients in this study suffered from UTIs. E. coli and K. pneumoniae were the most commonly isolated organisms. Trimethoprim/sulfamethoxazole and ciprofloxacin were the most frequently prescribed antibiotics. A significant association was found between acquiring a UTI and being female (p < 0.001), as well as having pre-existing bladder dysfunction (p = 0.024).

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.

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. 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. 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 cardiac 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 m2; 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. 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.

977-P: Continuous Glucose Monitoring in the Early Post–Lung Transplantation Period

Objective: Post-Transplant Diabetes Mellitus (PTDM) occurs in an estimated 20-40% of lung transplantation within five years, and hyperglycemia adversely affects outcomes, including rejection, infection, cardiovascular events, and mortality. Whereas continuous glucose monitoring (CGM) is common in patients with type 1 and type 2 diabetes mellitus, there is a significant knowledge gap in its application to PTDM. The objective of this study was to evaluate the performance of CGM in detecting hypoglycemia and hyperglycemia in the early post-lung transplantation period, compared with self-monitoring blood glucose. Research and Design Methods: We conducted a prospective pilot study with patients aged 18-75 who underwent lung transplantation and had hyperglycemia managed with insulin. Enrolled patients wore a blinded CGM at discharge and self-monitored glucose levels at home for 10 days. Data were summarized according to the following categories and compared across both tests using the paired t-test: % time in range (70-180 mg/dl); % high (181-250 mg/dl); % very high (&amp;gt;250 mg/dl); % low (50-69 mg/dl); % very low (&amp;lt;50 mg/dl). Results: The sample included 15 patients (mean age 58.6 years; 53.3% men; 73.3% with pre-transplantation diabetes). There was a significantly higher rate of detection for hyperglycemia with CGM use vs. self-monitored blood glucose. For the “% very high” group, the mean difference was 7.12, (95% confidence interval [CI], 1.8-12.4), and for the “% high” group, the mean difference was 11.1, (95% CI, 3.5-18.8), and for the combined group, “% high and % very high”, the mean difference was 18.3, (95% CI: 7.37-29.24). There was no statistically significant difference for the “% low and % very low” groups. Conclusions: CGM demonstrated a higher rate of detection for hyperglycemia compared to self-monitoring blood glucose. The mean difference for hypoglycemia detection was not significant. Larger studies are required to provide statistically meaningful conclusions about CGM in PTDM. Disclosure J.M.Munoz pena: None. H.Rasmussen: None. R.G.Salloum: None. M.Leong: None. K.A.Algarra: None. Funding Dexcom, Inc. (MM130159)

The Resistive Index by Doppler Ultrasonography as a Predictor of the Long-Term Outcomes After Kidney Transplantation

Doppler ultrasonography (US) is a noninvasive examination for assessing graft function after kidney transplantation. Although Doppler US is routinely performed, only a few reports have investigated whether a high resistive index (RI) detected by Doppler US affects graft function and survival. We hypothesized that there is a relationship between a high RI and inferior outcomes after kidney transplantation. We included 164 living kidney transplant patients treated between April 2011 and July 2019. We divided the patients into 2 groups according to RI (cut-off, 0.7) 1 year after transplantation. The recipient was significantly older in the high RI (≥0.7) group. Moreover, there were significant differences in the prevalence of pretransplant diabetes mellitus and the value of pretransplant hemoglobin A1c. Regarding long-term outcome, there was no significant difference in overall graft survival (5 years, 92.6% vs 91.8%; 10 years, 85.0% vs 67.9%; P = .64). On the other hand, the mortality was significantly worse in the high RI group (5 years, 99.1% vs 93.9%; 10 years, 96.4% vs 70.0%, P = .013). A high RI might predict mortality after kidney transplantation.

Metformin Use and Long-term Clinical Outcomes in Kidney Transplant Recipients

Metformin has been recommended for some patients with advanced chronic kidney disease. However, the value of metformin in kidney transplant recipients (KTRs) with pre-transplant diabetes mellitus (DM) or post-transplant diabetes mellitus (PTDM) is uncertain. We investigated the clinical effects of metformin in KTRs. Retrospective cohort study. A total of 1,995 KTRs with diabetes from six tertiary referral centers in the Republic of Korea. Metformin usage was defined as the use of metformin for >90 days after kidney transplantation; 1,193 KTRs were metformin users, and 802 KTRs did not use metformin. Changing usage of metformin among those exposed for >90 days was also characterized. Primary outcomes were all-cause mortality and death-censored graft failure (DCGF). Secondary outcomes were biopsy-proven acute rejection (BPAR) and lactic acidosis events. Survival analyses were conducted using multivariable Cox regression and competing risk analyses using Fine and Gray models. Changes in metformin use over time were modeled using a time-varying covariate. Metformin usage, mean daily dose, and HbA1c changes were considered in the landmark analysis to address time-varying confounding. Metformin use was associated with a lower risk of DCGF (adjusted hazard ratio [aHR] 0.47, 95% confidence interval [CI] 0.23-0.96, P = 0.038); there was no significant association with all-cause mortality (aHR 0.94, 95% CI 0.32-2.76, P = 0.915) or BPAR: (aHR 0.98, 95% CI 0.62-1.54, P = 0.942). In the subgroup analysis, metformin usage was associated with a reduced risk of all-cause mortality and a lower risk of DCGF for both the pre-transplantation DM and PTDM groups. Metformin usage was associated with a lower risk of BPAR in the PTDM group, although it was less effective in the pre-transplantation DM group. There was no confirmed case of metformin-associated lactic acidosis (MALA) in the present cohort. A higher dose of metformin was correlated with lower risks of DCGF and BPAR. Data on newer antidiabetic drugs such as SGLT2 inhibitors are limited; potential limited generalizability to other populations. Metformin usage may benefit KTRs, as evidenced by its association with a reduced risk of DCGF and the absence of MALA events. Randomized controlled trials are needed to validate these observational findings.

Time-Varying Risk Factors for Incident Fractures in Kidney Transplant Recipients: A Nationwide Cohort Study in South Korea.

Little is known about the time-varying risk factors for fractures in kidney transplant recipients (KTRs). Using the Korea Organ Transplantation Registry, a nationwide cohort study of KTRs, the incidence, locations, and time-varying predictors of fractures were analyzed, including at baseline and post-transplant 6-month variables in KTRs who underwent KT between January 2014 and June 2019. Among 4134 KTRs, with a median follow-up of 2.94 years (12,441.04 person-years), 63 patients developed fractures. The cumulative 5-year incidence was 2.10%. The most frequent locations were leg (25.40%) and foot/ankle (22.22%). In multivariable analysis, older recipient age at baseline (hazard ratio [HR], 1.035; 95% confidence interval [CI], 1.007-1.064; p = 0.013) and higher tacrolimus trough level (HR, 1.112; 95% CI, 1.029-1.202; p = 0.029) were associated with higher risks for fractures. Pretransplant diabetes mellitus had a time-dependent impact on fractures, with increasing risk as time elapses (HR for diabetes mellitus 1.115; 95% CI, 0.439-2.832; HR for diabetes mellitus × time, 1.049; 95% CI, 1.007-1.094; p = 0.022). In conclusion, KTRs had a high risk of peripheral skeletal fractures in the first 5 years. At baseline recipient age, pretransplant diabetes mellitus and tacrolimus trough level after KT were responsible for the fractures in KTRs.

Prevalence and Risk Factors of New-onset Diabetes after Transplant in East Africans.

Very little is known about the prevalence of new-onset diabetes after transplant (NODAT) in sub-Saharan and Eastern Africans. Most of the data are related to African Americans and to North and South Africans. The aims of this study were to examine the prevalence of NODAT in Sudanese renal transplant recipients, compare it with the published literature, and identify the risk factors for developing NODAT. In total, 150 patients who received a living-related kidney transplant between January 2015 and January 2016 were included in this study. Patients with diabetic nephropathy and pretransplant diabetes were excluded. Follow-up was for 2 years after the transplant. The variables studied were age, sex, body mass index, a family history of diabetes mellitus (DM), pretransplant steroid therapy, dyslipidemia, and hepatitis C virus infection. Twenty- three patients (15.3%) developed NODAT during the study period. The mean age of the patients who developed NODAT was 39 ± 14 years, and the mean time to develop NODAT was 5.78 ± 5.9 months. In the multivariate analysis, the risk factors for developing NODAT were a family history of DM (P = 0.01) and pretransplant steroid therapy (P = 0.01). The prevalence of NODAT in this study was 15.3%, which is in line with the reported literature from North Africa. However, it was significantly lower than the reported prevalence in African Americans.