Risk factors for new-onset diabetes mellitus after kidney transplantation (NODAT): a Brazilian single center study

Clinical and Radiological Fusion: A New Frontier in Predicting Post-Transplant Diabetes Mellitus

This study developed a predictive model for Post-Transplant Diabetes Mellitus (PTDM) by integrating clinical and radiological data to identify at-risk kidney transplant recipients. In a retrospective analysis across three Mayo Clinic sites, clinical metrics were combined with deep learning analysis of pre-transplant CT images, focusing on body composition parameters like adipose tissue and muscle mass instead of BMI or other biomarkers. Among 2,005 nondiabetic kidney recipients, 335 (16.7%) developed PTDM within the first year. PTDM patients were older, had higher BMIs, elevated triglycerides, and were more likely to be male and non-White. They exhibited lower skeletal muscle area, greater visceral adipose tissue (VAT), more intermuscular fat, and higher subcutaneous fat (all p < 0.001). Multivariable analysis identified age (OR: 1.05, 95% CI: 1.03-1.08, p < 0.0001), family diabetes history (OR: 1.55, CI: 1.14-2.09, p = 0.0061), White race (OR: 0.43, CI: 0.28-0.66, p < 0.0001), and VAT area (OR: 1.37, CI: 1.14-1.64, p = 0.0009) as predictors. The combined model achieved C-statistic of 0.724 (CI: 0.692-0.757), outperforming the clinical-only model (C-statistic 0.68). Patients with PTDM in the first year had higher mortality than those without PTDM. This model improves predictive precision, enabling accurate identification and intervention for at risk patients.

[Risk factors for new-onset diabetes after transplantation in kidney transplant recipients: own data and meta-analysis]

AIM

To compare risk factors for new-onset diabetes after transplantation (NODAT) among renal transplant recipients (RTRs) from 1989 to 2018 in the City Clinical Hospital №52, with a systematic analysis of published studies on this topic.

MATERIALS AND METHODS

In a 30-year (1989-2018) retrospective study, we found statistically significant differences in age, gender, polycystic kidney disease, cadaveric kidney, cyclosporine, i-mTOR, and steroids between two groups of recipients with and without NODAT. Patients with NODAT were older, more male, more likely to have polycystic kidney disease and deceased donor kidneys, and more likely to be treated with cyclosporine, i-mTOR, and steroids (p<0.05). We conducted a meta-analysis to evaluate the impact of these indicators on the development of NODAT. MEDLINE, Scopus, and the Cochrane Central Register of Controlled Trials were searched for eligible case-control studies of risk factors for NODAT in RTRs published between 1990 and 2019. Meta-analysis of proportions was performed using the Freeman-Tukey transformation to calculate weighted summary proportions from a fixed and random effects model.

RESULTS

A total of 13 case-control studies were included in the meta-analysis. Of the total 849 studies found, 13 were included in the systematic review and meta-analysis, including ours, with a total of n=6797 RTRs, of which n=1305 patients with NODAT and n=5492 without NODAT. A wide range of data was recorded for the analysis of the incidence of NODAT (6.5-50.7%), with an average of 17.9% (fixed model) or 24.3% (random model). The proportion of NODAT recorded in the Russian registry of the City Clinical Hospital №52 was lower (11.5%), however, the data in the analyzed studies were highly heterogeneous: I2=98.14%, 95% CI: from 97.61 to 98.55, p<0.0001, Begg's test (p=0.05) and Egger's test (p=0.01) do not exclude the presence of publication bias in this case. Data on NODAT risk factors were less heterogeneous. This meta-analysis showed that age, polycystic kidney disease, i-mTOR and steroid therapy were associated with NODAT, whereas gender, calcineurin inhibitor use, and cadaveric kidney were not. There was no evidence of selection bias in any of the cases.

CONCLUSION

Risk factors for NODAT in kidney transplant recipients include older age, polycystic kidney disease, i-mTOR and steroid therapy, which initiate a state of insulin resistance. To reduce the risk of NODAT, the possibility of modifying immunosuppression regimens and the use of drugs that reduce insulin resistance and have a nephroprotective effect in RTRs should be considered. Therefore, randomized studies are needed to evaluate SGLT2 inhibitor in RTRs.

Elevated Plasma High Sensitive C-Reactive Protein and Triglyceride/High-Density Lipoprotein Cholesterol Ratio are Risks Factors of Diabetes Progression in Prediabetes Patients After Kidney Transplant: A 3-Year Single-Center Study in Vietnam

Purpose

Determination the rate of developing post-transplant diabetes mellitus (PTDM) in prediabetic patients and the relationship with plasma hs-CRP levels and TG/HDL-C ratio in patients after kidney transplantation from living donors followed for 3 years.

Subjects and Methods

A total of 206 post-transplant patients diagnosed with prediabetes by oral glucose tolerance test (OGTT) were included in the study. At the time of diagnosis of prediabetes, all patients were clinically examined, paraclinical tests were performed, plasma hs-CRP was quantified, and the TG/HDL-C ratio was determined. Patients are individualized and given a reasonable diet and exercise regimen. Patients had their fasting blood glucose measured monthly or had an OGTT every 3 months. Patients meeting the criteria for diagnosis of PTDM according to the American Diabetes Association (ADA)-2018 were collected during 3 years of follow-up.

Results

The study group had an average age of 39.46 ± 10.26 years old, including 74.8% males and 25.2% females. The rate of patients who had a development of PTDM from prediabetes was 29.6% (61/206 patients). BMI, plasma TG, HDL-C, hs-CRP, and TG/HDL-C ratio at the time of prediabetes diagnosis were factors related to the progression of PTDM, in which hs-CRP and TG/HDL-C ratio were good predictors (with AUC = 0.85 and 0.874, respectively; p < 0.001).

Conclusion

After 3 years of follow-up, nearly one-third of prediabetic patients developed PTDM post-living donor kidney transplantation. BMI, plasma TG, HDL-C, hs-CRP, and the TG/HDL-C ratio were linked to DM progression, with hs-CRP and TG/HDL-C being the strongest predictors.

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.

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.

Neutrophil: Lymphocyte and Platelet: Lymphocyte ratios measured before transplantation and their correlation with new-onset diabetes post-transplantation in renal transplant recipients

PURPOSE

Our goal was to evaluate the neutrophil:lymphocyte (NLR) and platelet:lymphocyte (PLR) ratios measured before transplantation and their correlation with new-onset diabetes after transplantation (NODAT) in renal transplant recipients.

PATIENTS AND METHODS

We conducted our study in 324 adult patients consecutively admitted to Military Hospital 103, Ha Noi, Viet Nam, who received kidney allografts from living donors. These patients were followed-up during the first 2 years post-transplantation for NODAT. We examined the association between NLR and PLR measured prior to transplantation in patients with NODAT: NLR and PLR were calculated based on the results of the complete blood count. The criteria for diagnosis of a fully symptomatic NODAT case were based on the guidelines established by the American Diabetes Association and included fasting venous blood glucose and glycosylated hemoglobin A1c (HbA1c) levels, with or without an oral glucose tolerance test.

RESULTS

The overall rate of NODAT during the two years after kidney transplantation was 13.6%. We found mean values of age and body mass index (BMI), and median values of NLR, PLR, high sensitivity C-reactive protein (hs-CRP) levels, and the arteriosclerosis ratio in the NODAT group to be significantly higher than those of the non-NODAT group (all p < 0.05). Furthermore, an adjusted multivariate regression analysis showed that age (area under the curve [AUC] = 0.727, p < 0.001), BMI (AUC = 0.846, p < 0.001), serum hs-CRP levels (AUC = 0.884, p < 0.001), NLR (AUC = 0.888; p < 0.001), and PLR (AUC = 0.818; p < 0.001) had predictive value for NODAT.

CONCLUSION

NLR and PLR measured before transplantation were good predictors for NODAT in the first 2 years post-renal transplantation.

Prevalence and Risk Factors of Abnormal Glucose Metabolism and New-Onset Diabetes Mellitus after Kidney Transplantation: A Single-Center Retrospective Observational Cohort Study

Background and objectives: New-onset diabetes after transplantation (NODAT) represents a primary cause of morbidity and allograft loss. We assessed prevalence and risk factors for NODAT in a population of Italian kidney transplant (KT) recipients. Methods: Data from 522 KT performed between January 2004 and December 2014 were analyzed. Participants underwent clinical examination; blood and urine laboratory tests were obtained at baseline, one, six, and 12-month of follow-up to detect glucose homeostasis abnormalities and associated metabolic disorders. An oral glucose tolerance test (OGTT) was performed at six months in 303 subjects. Results: Most patients were Caucasian (82.4%) with a mean age of 48 ± 12 years. The prevalence of abnormal glucose metabolism (AGM) and NODAT was 12.6% and 10.7%, respectively. Comparing characteristics of patients with normal glucose metabolism (NGM) to those with NODAT, we found a significant difference in living donation (16.6% vs. 6.1%; p = 0.03) and age at transplant (46 ± 12 vs. 56 ± 9 years; p = 0.0001). Also, we observed that patients developing NODAT had received higher cumulative steroid doses (1-month: 1165 ± 593 mg vs. 904 ± 427 mg; p = 0.002; 6-month:2194 ± 1159 mg vs. 1940 ± 744 mg; p = 0.002). The NODAT group showed inferior allograft function compared to patients with NGM (1-year eGFR: 50.1 ± 16.5 vs. 57 ± 20 mL/min/1.73 m2; p = 0.02). NODAT patients were more likely to exhibit elevated systolic blood pressure and higher total cholesterol and triglyceride levels than controls. Conclusions: The prevalence of NODAT in our cohort was relatively high. Patient age and early post-transplant events such as steroid abuse are associated with NODAT development.

Post-transplant Diabetes Mellitus in Kidney Transplant Recipients in Sudan: A Comparison Between Tacrolimus and Cyclosporine-Based Immunosuppression

Hyperglycemia is a common complication among transplant patients without a history of diabetes mellitus (DM). Although new and potent immunosuppressants have improved short and long-term outcomes after transplantation, these drugs themselves may be associated with a greater risk of hyperglycemia. The present study aimed to determine the prevalence of post-transplant diabetes mellitus (PTDM) in post renal transplant patients in Sudan, and compare the effect of cyclosporine and tacrolimus-based immunosuppressive regimens. All adult kidney transplant recipients without pre-transplant diabetes who attended the transplant clinic at Ahmed Gasim Cardiac Surgery and Renal Transplant Center in Sudan were included. A total of 100 cases with functioning kidney allografts were enrolled in this study. The majority of cases were in the age range between 20 and 60 years (92%). Males and females were nearly equally distributed (56% vs 44%). Fifty-two percent of patients were on cyclosporine and 48% on tacrolimus. Overall, 18% of patients suffered from post-transplant diabetes mellitus. There was no statistically significant difference between tacrolimus and cyclosporine with regards to the prevalence of hyperglycemia (16.6% versus 13.4%; p>0.05).

Serum hs-CRP measured prior transplantation predicts of new-onset diabetes after transplantation in renal transplant recipients

BACKGROUND

To assess the incidence of new-onset diabetes after transplantation (NODAT) for the first year post-transplantation and the predictive value of high-sensitivity C-reactive Protein (hs-CRP) before transplantation for NODAT prediction in kidney transplantation patients.

MATERIAL AND METHODS

A study of 251 consecutive adult end-stage kidney disease patients transplanted kidneys from living donors, follow-up during the first year to find NODAT. We diagnosed NODAT based on blood glucose or HbA1c following to the criteria of the American Diabetes Association.

RESULTS

The ratio of NODAT was 12.4%. The mean age, mean BMI, the proportion of arteriosclerosis, and the median hs-CRP level in NODAT group were significantly higher than those of non-NODAT group with p < 0.05. Age, BMI and serum hs-CRP had a predictive value for NODAT (Age: AUC = 0.62, p < 0.05, BMI: AUC = 0.626, hs-CRP: AUC = 0.748, p < 0.001).

CONCLUSION

Serum hs-CRP level measured prior transplantation is a good predictor for NODAT in renal transplant recipients.

Calcineurin inhibitor-associated new-onset diabetes mellitus in chronic kidney disease treatment: a 4-year single-center cross-sectional study in China

PURPOSE

To identify the risk factors of calcineurin inhibitor (CNI)-associated new-onset diabetes mellitus (NODM) in chronic kidney disease (CKD) treatment.

METHODS

We retrospectively screened patients treated with CNIs in our hospital from January 2015 to December 2018. The inclusion criteria were as follows: a clear diagnosis of CKD and patients receiving CNI treatment. We compared patients with and without CNI-associated NODM.

RESULTS

Ninety-eight of the 336 assessed patients met the inclusion criteria, 15 (15.3% [15/98]) of whom developed CNI-associated NODM. Multiple logistic regression analysis revealed that baseline glycosylated hemoglobin (OR=4.141; 1.024-16.743; p=0.046) and CNI trough concentration (1 year) (OR=1.028; 1.009-1.047, p=0.004) were independent risk factors for NODM. In contrast, glucocorticoid type (prednisone) (OR=0.075; 0.011-0.526, p=0.009) was identified as an independent protective factor for NODM. Using a receiver operating characteristic curve, a cutoff cyclosporin A trough concentration of 102.1 ng/mL was identified as a predictive factor of NODM. Univariate logistic regression showed that the incidence of diabetes was significantly higher in patients with baseline glycosylated hemoglobin in non-diabetic range but higher than 5.65% (10.2% vs. 29.2%, p=0.038). One NODM patient (6.7% [1/15]) recovered at 12.7 months after the onset of diabetes mellitus.

CONCLUSIONS

We recommend that more attention be paid to patients with baseline glycosylated hemoglobin in non-diabetic range but higher than 5.65% during CKD treatment with CNIs. High trough concentrations of cyclosporin A, particularly those >102.1 ng/mL, contribute to NODM. CNI-associated NODM may be reversible in the treatment of CKD.

Risk factors for new-onset diabetes mellitus after kidney transplantation: A systematic review and meta-analysis

AIMS/INTRODUCTION

To systematically review the risk factors for new-onset diabetes mellitus after kidney transplantation, and to provide a theoretical basis for the prevention and management of new-onset diabetes mellitus after kidney transplantation.

MATERIALS AND METHODS

We searched PubMed, Web of Science, Embase, the Cochrane Library databases and other databases for case-control studies related to risk factors for new-onset diabetes mellitus after kidney transplantation published between January 2005 and July 2019. A meta-analysis of data on risk factors for new-onset diabetes mellitus after kidney transplantation from the included studies was carried out. A narrative review of risk factors for new-onset diabetes mellitus after kidney transplantation was also carried out.

RESULTS

A total of 24 case-control studies were included in the meta-analysis, with a total of 7,140 patients. There were 1,598 patients with new-onset diabetes mellitus after kidney transplantation, and 5,542 patients without new-onset diabetes mellitus after kidney transplantation. The meta-analysis results showed that age, polycystic kidney disease, family history of diabetes, body mass index, acute rejection, tacrolimus use, hepatitis B virus infection, hepatitis C virus infection and hypertension were associated with new-onset diabetes mellitus after kidney transplantation, whereas sex, sirolimus use, cyclosporin A use, steroid use and cytomegalovirus infection were not associated with new-onset diabetes mellitus after kidney transplantation.

CONCLUSIONS

Older age, body mass index, family history of diabetes, tacrolimus use, history of hypertension, polycystic kidney disease, acute rejection, hepatitis B virus infection and hepatitis C virus infection are risk factors for new-onset diabetes mellitus after kidney transplantation. Therefore, the clinical implications of these factors warrant attention.

Clinical and genetic risk factors for new-onset diabetes mellitus after transplantation (NODAT) in major transplant centres in Malaysia

Background

New-onset diabetes after transplantation (NODAT) is associated with reduced patient and graft survival. This study examined the clinical and selected genetic factors associated with NODAT among renal-transplanted Malaysian patients.

Methods

This study included 168 non-diabetic patients (58% males, 69% of Chinese ethnicity) who received renal transplantation between 1st January 1994 to 31st December 2014, and were followed up in two major renal transplant centres in Malaysia. Fasting blood glucose levels were used to diagnose NODAT in patients who received renal transplantation within 1 year. Two single nucleotide polymorphisms (SNPs), namely; rs1494558 (interleukin-7 receptor, IL-7R) and rs2232365 (mannose-binding leptin-2, MBL2) were selected and genotyped using Sequenom MassArray platform. Cox proportional hazard regression analyses were used to examine the risk of developing NODAT according to the different demographics and clinical covariates, utilizing four time-points (one-month, three-months, six-months, one-year) post-transplant.

Results

Seventeen per cent of patients (n = 29, 55% males, 69% Chinese) were found to have developed NODAT within one-year of renal transplantation based on their fasting blood glucose levels. NODAT patients had renal transplantation at an older age compared to non-NODAT (39.3 ± 13.4 vs 33.9 ± 11.8 years, p = 0.03). In multivariate analysis, renal-transplanted patients who received a higher daily dose of cyclosporine (mg) were associated with increased risk of NODAT (Hazard ratio (HR) =1.01 per mg increase in dose, 95% confidence interval (CI) 1.00–1.01, p = 0.002). Other demographic (gender, ethnicities, age at transplant) and clinical factors (primary kidney disease, type of donor, place of transplant, type of calcineurin inhibitors, duration of dialysis pre-transplant, BMI, creatinine levels, and daily doses of tacrolimus and prednisolone) were not found to be significantly associated with risk of NODAT. GA genotype of rs1494558 (HR = 3.15 95% CI 1.26, 7.86) and AG genotype of rs2232365 (HR = 2.57 95% CI 1.07, 6.18) were associated with increased risk of NODAT as compared to AA genotypes.

Conclusion

The daily dose of cyclosporine and SNPs of IL-7R (rs1494558) and MBL2 (rs2232365) genes are significantly associated with the development of NODAT in the Malaysian renal transplant population.

Risk Factors Related to New-Onset Diabetes after Renal Transplantation in Patients of a High Complexity University Hospital in Colombia, 20 Years of Experience

INTRODUCTION

New-onset diabetes after transplantation (NODAT) is associated with immunosuppression. Its complications can negatively influence patients' quality of life, which is why it is important to study the associated risk factors and expand the possible therapies in this particular group of patients. Materials and methods. Case-control study nested in a retrospective cohort. It included patients who received kidney transplantation at the high complexity University Hospital Fundación Valle del Lili in Cali, Colombia, between 1995 and 2014. Two controls were assigned for each case, depending on the type of donor and the date of the surgery. Information was collected from clinical records and the institutional TRENAL registry. We carried out a descriptive analysis of the selected variables and identified the risk factors with conditional logistic regression.

RESULTS

122 cases were identified to which 224 controls were assigned. The median age was 44 years (IQR: 34-55), and 54% were men. Having >50 years of age at the time of transplantation (OR: 3.18, 95% CI: 1.6-6.3, p = 0.001), body mass index >30 kg/m² (OR: 3.6, 95% CI: 1.3-9.7, p = 0.010) and being afro-descendant (OR: 2.74, 95% CI: 1.1-6.5, p = 0.023) were identified as risk factors for the development of NODAT. Pretransplant fasting plasma glucose >100 mg/dl (OR: 2.9, 95% CI: 1.4-6.4, p = 0.005) and serum triglycerides >200 mg/dl (OR: 2.5, 95% CI: 1.4-4.4, p = 0.002) were also reported as independent risk factors.

CONCLUSION

We ratify some risk factors for the development of this important disease, which include certain modifiable characteristics. Interventions aimed at changes in lifestyle could be established in a timely manner before transplant surgery.