Risk Factors for Development of New-Onset Diabetes Mellitus and Progressive Impairment of Glucose Metabolism After Living-Donor Liver Transplantation

New-Onset Diabetes Mellitus after Kidney Transplantation

New-Onset Diabetes Mellitus after Transplantation (NODAT) emerges as a prevalent complication post-kidney transplantation, with its incidence influenced by variations in NODAT definitions and follow-up periods. The condition's pathophysiology is marked by impaired insulin sensitivity and β-cell dysfunction. Significant risk factors encompass age, gender, obesity, and genetics, among others, with the use of post-transplant immunosuppressants intensifying the condition. NODAT's significant impact on patient survival and graft durability underscores the need for its prevention, early detection, and treatment. This review addresses the complexities of managing NODAT, including the challenges posed by various immunosuppressive regimens crucial for transplant success yet harmful to glucose metabolism. It discusses management strategies involving adjustments in immunosuppressive protocols, lifestyle modifications, and pharmacological interventions to minimize diabetes risk while maintaining transplant longevity. The importance of early detection and proactive, personalized intervention strategies to modify NODAT's trajectory is also emphasized, advocating for a shift towards more anticipatory post-transplant care.

Prediction of New-Onset Diabetes Mellitus within 12 Months after Liver Transplantation-A Machine Learning Approach

BACKGROUND

Liver transplantation (LT) is a routine therapeutic approach for patients with acute liver failure, end-stage liver disease and/or early-stage liver cancer. While 5-year survival rates have increased to over 80%, long-term outcomes are critically influenced by extrahepatic sequelae of LT and immunosuppressive therapy, including diabetes mellitus (DM). In this study, we used machine learning (ML) to predict the probability of new-onset DM following LT.

METHODS

A cohort of 216 LT patients was identified from the Disease Analyzer (DA) database (IQVIA) between 2005 and 2020. Three ML models comprising random forest (RF), logistic regression (LR), and eXtreme Gradient Boosting (XGBoost) were tested as predictors of new-onset DM within 12 months after LT.

RESULTS

18 out of 216 LT patients (8.3%) were diagnosed with DM within 12 months after the index date. The performance of the RF model in predicting the development of DM was the highest (accuracy = 79.5%, AUC 77.5%). It correctly identified 75.0% of the DM patients and 80.0% of the non-DM patients in the testing dataset. In terms of predictive variables, patients' age, frequency and time of proton pump inhibitor prescription as well as prescriptions of analgesics, immunosuppressants, vitamin D, and two antibiotic drugs (broad spectrum penicillins, fluocinolone) were identified.

CONCLUSIONS

Pending external validation, our data suggest that ML models can be used to predict the occurrence of new-onset DM following LT. Such tools could help to identify LT patients at risk of unfavorable outcomes and to implement respective clinical strategies of prevention.

Progress of new-onset diabetes after liver and kidney transplantation

Organ transplantation is currently the most effective treatment for end-stage organ failure. Post transplantation diabetes mellitus (PTDM) is a severe complication after organ transplantation that seriously affects the short-term and long-term survival of recipients. However, PTDM is often overlooked or poorly managed in its early stage. This article provides an overview of the incidence, and pathogenesis of and risk factors for PTDM, aiming to gain a deeper understanding of PTDM and improve the quality of life of recipients.

New-Onset Diabetes Mellitus (NODM) After Liver Transplantation (LT): The Ultimate Non-diabetogenic Immunosuppressive Therapy

New-onset diabetes mellitus (NODM) is a common long-term complication after liver transplantation (LT). It is thought to be drug-induced in most cases, no matter the underlying disease that cause liver failure and indicated transplantation. Standard post-transplantation (PT) immunosuppressive regimens include prolonged use of calcineurin inhibitors (CNIs), namely tacrolimus (TAC), alongside corticosteroids to avoid acute and chronic graft rejection. This combination is well known for its diabetogenicity. Significant differences between the applied regimens stand out concerning the duration and dosages to prevent the metabolic side effects of these drugs in the long run without compromising the graft's survival. Studies were collected after an extensive research of PubMed database for this very specific topic using the following MeSH keywords in multiple combinations: "Liver Transplantation," "Diabetes Mellitus," "NODM," "Tacrolimus," "Cyclosporine A," and "Steroids." In addition, we used the same keywords for regular searches in Google Scholar. Only the relevant English human studies between 2010 and 2020 were collected except for review articles. Duplicates were eliminated using Mendeley software. Twelve relevant studies directly related to the targeted topic were collected and discussed, including five retrospective cohorts, four prospective cohorts, one clinical trial, one prospective pilot, and one case report. Their topics included primarily the factors increasing the risk of new-onset diabetes mellitus after liver transplantation (NODALT), TAC-based immunosuppression and its relative blood levels affecting the possible development of NODALT, the role of cyclosporine in substituting TAC regimen, and the effect of different steroids-avoiding protocols on the prevention of NODALT. The reviewed studies suggested that lowering the serum concentration of tacrolimus (cTAC) throughout the PT period and eliminating the corticosteroids regimen as early as possible, among other measures, can significantly impact the rate of emergence of NODM. This traditional review tackles the most recent studies about NODALT to establish a comprehensive view on this issue and guide clinicians and researchers for the safest immunosuppressive regimen to date, while maintaining a balanced metabolic profile.

Systematic review and meta-analysis of post-transplant diabetes mellitus in liver transplant recipients

Post-transplant diabetes mellitus (PTDM) compromises long-term survival in liver transplant (LT) recipients. The aim of this study was to determine incidence of PTDM after LT and risk factors associated with it. A literature search was conducted, and prospective studies that reported on the incidence of PTDM in LT adult patients on tacrolimus, sirolimus, or cyclosporine were included. We performed random effects meta-analyses for the incidence of PTDM stratified by immunosuppressant and time period. Of 9817 articles identified, 26 studies were included in the qualitative analysis and 21 studies were eligible for the quantitative analysis representing 79 559 LT recipients in 32 separate treatment arms. The proportion of patients who developed PTDM by two-three years was 0.15 (95% CI: 0.10-0.24) for cyclosporine, 0.23 (95% CI: 0.14-0.36) for tacrolimus, and 0.27 (95% CI: 0.23-0.30) for sirolimus. CONCLUSION: Our results showed that sirolimus-based immunosuppression was associated with a higher incidence of PTDM than tacrolimus or cyclosporine at two-three years. However, there were only two studies that compared all three drugs which is a limitation of the study and requires more studies with patients on sirolimus. Recipient factors increasing the risk of PTDM are older age, male sex, and high BMI.

Preoperative Glycated Haemoglobin Level and Postoperative Morbidity and Mortality in Patients Scheduled for Liver Transplant

BACKGROUND

There is high prevalence of diabetes mellitus in patients of end stage liver disease and it has been implicated for complications in post-transplant patients. Glycated hemoglobin is now targeted as a modifiable preoperative risk factors for postoperative complications. Data describing the course and severity of postoperative liver transplant complication and their relation with pre-operative glycated hemoglobin level is sparse. In this study, we looked for co-relation between the preoperative HbA1c level and post-operative mortality and morbidity in patients scheduled for liver transplant.

MATERIALS AND METHODS

Retrospective data in 400 adult patients operated for liver transplant were retrieved. After exclusion, data were analyzed for 224 patients. Patients were divided into two groups on the basis of glycated hemoglobin levels (Group 1 (HbA1C ≥6.5) and Group 2 (HbA1C <6.5)).

RESULTS

Glycated hemoglobin levels were not associated with postoperative death during stay in intensive care unit, incidence of postoperative cardiovascular, renal, and central nervous complications. No difference was seen between 2 groups for need for renal replacement therapy, incidence of infections, rejection, need for re-exploration surgery and duration of intensive care unit and hospital stay. Glycated hemoglobin cannot predict 30 day survival (Area under curve {AUC} = 0.629, P value 0.05).

CONCLUSION

Preoperative glycated hemoglobin level is not associated with postoperative morbidity and mortality in patients scheduled for liver transplant.

TRIAL REGISTRATION NUMBER

CTRI/2018/04/012966.

Nonalcoholic steatohepatitis in posttransplantation liver: Review article

INTRODUCTION

Nonalcoholic steatohepatitis (NASH) associated or not with cirrhosis is the third leading indication for liver transplantation (LT) around the world. After transplants, NASH has a high prevalence and occurs as both recurrent and de novo manifestations. De novo NASH can also occur in allografts of patients transplanted for non-NASH liver disease.

OBJECTIVE

To evaluate recurrent or de novo NASH in post-LT patients.

METHOD

A literature review was performed using search engines of indexed scientific material, including Medline (by PubMed), Scielo and Lilacs, to identify articles published in Portuguese and English until August 2016. Eligible studies included: place and year of publication, prevalence, clinical characteristics, risk factors and survival.

RESULTS

A total of 110 articles were identified and 63 were selected. Most of the studies evaluated recurrence and survival after LT. Survival reached 90-100% in 1 year and 52-100% in 5 years. Recurrence of NAFLD (steatosis) was described in 15-100% and NASH, in 4-71%. NAFLD and de novo NASH were observed in 18-67% and 3-17%, respectively. Metabolic syndrome, diabetes mellitus, dyslipidemia and hypertension were seen in 45-58%, 18-59%, 25-66% and 52-82%, respectively.

CONCLUSION

After liver transplants, patients present a high prevalence of recurrent and de novo NASH. They also show a high frequence of metabolic disorders. Nevertheless, these alterations seem not to influence patient survival.

Post-Liver Transplantation Diabetes Mellitus: A Review of Relevance and Approach to Treatment

Post-liver transplantation diabetes mellitus (PLTDM) develops in up to 30% of liver transplant recipients and is associated with increased risk of mortality and multiple morbid outcomes. PLTDM is a multicausal disorder, but the main risk factor is the use of immunosuppressive agents of the calcineurin inhibitor (CNI) family (tacrolimus and cyclosporine). Additional factors, such as pre-transplant overweight, nonalcoholic steatohepatitis and hepatitis C virus infection, may further increase risk of developing PLTDM. A diagnosis of PLTDM should be established only after doses of CNI and steroids are stable and the post-operative stress has been overcome. The predominant defect induced by CNI is insulin secretory dysfunction. Plasma glucose control must start immediately after the transplant procedure in order to improve long-term results for both patient and transplant. Among the better known antidiabetics, metformin and DPP-4 inhibitors have a particularly benign profile in the PLTDM context and are the preferred oral agents for long-term management. Insulin therapy is also an effective approach that addresses the prevailing pathophysiological defect of the disorder. There is still insufficient evidence about the impact of newer families of antidiabetics (GLP-1 agonists, SGLT-2 inhibitors) on PLTDM. In this review, we summarize current knowledge on the epidemiology, pathogenesis, course of disease and medical management of PLTDM.

New-onset diabetes mellitus after living-donor liver transplantation: association with graft synthetic function

BACKGROUND AND PURPOSE

It is now known that post-transplant graft function after deceased-donor liver transplantation and living-donor liver transplantation (LDLT) differ; however, there is no report assessing the relationship between graft function and the development of new-onset diabetes mellitus after transplantation (NODAT). We conducted this study to identify the predictive risk factors for NODAT, including graft function after LDLT.

METHODS

The subjects of this study were 175 adult recipients who underwent LDLT at Kyoto University Hospital between 2006 and 2010, and survived for more than 3 months (median observation period, 1046 days).

RESULTS

The 1-, 2-, and 3-year incidences of NODAT after LDLT were 26.1, 32.0, and 33.4%, respectively. Pre-transplant diabetes was associated with poor survival (p = 0.0048), whereas NODAT was not associated with patient survival. In the multivariate analysis, recipient age ≥40, a tacrolimus trough level ≥8 ng/mL 3 months after LDLT, and cholinesterase (ChE) <185 IU/L 3 months after LDLT were the independent risk factors for NODAT.

CONCLUSIONS

Poor graft synthetic function 3 months after LDLT as well as older age of the recipient and a higher tacrolimus concentration were strongly associated with NODAT development after LDLT.

Prevalence, predictive factors, and survival outcome of new-onset diabetes after liver transplantation: A population-based cohort study

The aim of the present nationwide population-based cohort study was to explore the prevalence, risk factors, and survival outcome of new-onset diabetes (NOD) in recipients after liver transplantation.The National Health Insurance Research Database of Taiwan was searched for ICD-9-codes, 2248 patients who had received liver transplant without pretransplant diabetes from July 1, 1998 to December 31, 2012 were included in the study. The preoperative risks factors were considered and analyzed using logistic regression analysis, following adjustments for age and sex. All patients were followed up until the end of the study or death.The final dataset included 189 patients with NOD and 2059 without diabetes after liver transplantation. The prevalence of NOD was 8.4% and in 64% NOD appeared in the first year after liver transplantation. Preoperative clinical events, alcoholic liver cirrhosis, and hepatic encephalopathy were the most important risk factors for NOD after liver transplantation. The mortality rate was lower in NOD recipients than in non-NOD recipients within 5 years.In this study, we provide evidence that NOD recipients had better 5-year survival outcomes in this clinical population. The most important identifiable predictive factors for NOD after liver transplantation were alcoholic hepatitis, ascites, hepatic coma, and esophageal varices.

Evaluation of Posttransplantation Diabetes Mellitus After Liver Transplantation: Assessment of Insulin Administration as a Risk Factor

BACKGROUND

Impaired glucose regulation posttransplantation can affect allograft survival and may lead to the development of posttransplant diabetes mellitus (PTDM).

OBJECTIVES

The primary purpose of this study is to assess the difference in insulin burden between liver transplant patients who develop PTDM and patients who do not.

METHODS

This was a single-center, retrospective study. Adult liver transplant recipients transplanted between January 1, 2005, and August 1, 2013, were included. PTDM was defined as: (1) use of an oral antihyperglycemic agent for ≥30 consecutive days after transplant, (2) use of insulin ≥30 consecutive days after transplant, or (3) hemoglobin A1C≥6.5 any time after transplant.

RESULTS

Of the 114 patients included, 48 (42%) developed PTDM. The average 24-hour insulin requirement on the medical floors was 17.2 ± 14.5 units in the PTDM group and 11.3 ± 12.2 units in the PTDM-free group;P= 0.02. The average blood glucose level on the medical floor was 184.7 ± 31.5 mg/dL in the PTDM group and 169.3 ± 31.4 mg/dL in the PTDM-free group;P= 0.013. Multivariate analysis revealed that experiencing rejection was positively associated with the development of PTDM: adjusted odds ratio (AOR) = 3.237; 95% CI = 1.214-8.633. Basiliximab was negatively associated with the development of PTDM: AOR = 0.182; 95% CI = 0.040-0.836.

CONCLUSION

Univariate analyses suggest that insulin burden is a positive risk factor for the development of PTDM; this association is lost in multivariate analyses. Rejection was a positive predictor, and use of basiliximab was a negative predictor for the development of PTDM.

Tacrolimus Induces Insulin Resistance and Increases the Glucose Absorption in the Jejunum: A Potential Mechanism of the Diabetogenic Effects

Background

The use of the immunosuppressive drug tacrolimus (TAC) is related to new onset diabetes after transplantation. Herein, we examined the effect of intraperitoneal administered TAC on intestinal glucose absorption in mice.

Methods

Animals received low, medium, or high dose TAC (0.5, 1, or 5 mg/kg/d, respectively), or 0.9% saline solution (control) for 14 days. Oral glucose tolerance test (OGTT), insulin concentration test, and serum TAC concentration measurements was performed after 14 days of TAC exposure. Plasma insulin was assessed and electrogenic glucose absorption were measured by the sodium-dependent increase of the short-circuit current. Expression levels of the glucose transporters sodium glucose co-transporter (SGLT) 1, glucose transporter (GLUT) 2, and GLUT5 were also determined.

Results

Oral glucose absorption assessed by OGTT was significantly enhanced in the low, medium, and high groups. Serum insulin was elevated in the medium and high group compared with the control. Moreover, glucose-induced Isc was significantly higher in TAC administrated groups, which indicates that SGLT1 activity increased. Transcription levels and protein abundance of SGLT1 in the experimental groups also increased compared with the control.

Conclusions

TAC induced insulin resistance and strengthened intestinal glucose absorption by increasing the activity and expression of the glucose transporter, SGLT1.