Prevalence Of New-onset Diabetes Research Articles

Remnant Pancreas Volume Affects New-Onset Impaired Glucose Homeostasis Secondary to Pancreatic Cancer.

New-onset diabetes (NOD) has been identified as a high-risk factor for the early detection of pancreatic ductal adenocarcinoma (PDAC). The role of tumor volume and remnant pancreas volume (RPV) in the progression from normal to NOD in PDAC patients is not fully illustrated yet. In this cross-sectional study, glycemic metabolism traits of 95 PDAC patients before pancreatic surgery were described and compared with chronic pancreatitis and type 2 diabetes mellitus patients based on the oral glucose tolerance test. The remnant RPV and tumor volume, calculated by three-dimensional reconstruction of radiological images, were included in the ordinal logistic regression models. The prevalence of NOD was high among PDAC patients (38.9%). However, normal glucose tolerance (NGT) or prediabetes mellitus status were present as more than half (24/44) of advanced tumor stage patients. Indexes reflecting beta-cell function but not insulin sensitivity gradually worsened from NGT to NOD patients (all p < 0.05). The remnant pancreas volume (RPV) was identified as a potential protective factor for diabetes secondary to PDAC (odds ratio 0.95, 95% CI [0.92, 0.97], p < 0.001). Reduced RPV causing beta-cell dysfunction might be one of the mechanisms of NOD secondary to PDAC. Subjects with sufficient pancreas volume could not be detected earlier when regarding patients with NOD as the population at risk for PDAC.

Mapping global new-onset, worsening, and resolution of diabetes following partial pancreatectomy: a systematic review and meta-analysis.

Partial pancreatectomy, commonly used for chronic pancreatitis, or pancreatic lesions, has diverse impacts on endocrine and metabolism system. The study aims to determine the global prevalence of new-onset, worsening, and resolution of diabetes following partial pancreatectomy. The authors searched PubMed, Embase, Web of Science, and Cochrane Library from inception to October, 2023. DerSimonian-Laird random-effects model with Logit transformation was used. Sensitivity analysis, meta-regression, and subgroup analysis were employed to investigate determinants of the prevalence of new-onset diabetes. A total of 82 studies involving 13257 patients were included. The overall prevalence of new-onset diabetes after partial pancreatectomy was 17.1%. Univariate meta-regression indicated that study size was the cause of heterogeneity. Multivariable analysis suggested that income of country or area had the highest predictor importance (49.7%). For subgroup analysis, the prevalence of new-onset diabetes varied from 7.6% (France, 95% CI: 4.3-13.0) to 38.0% (UK, 95% CI: 28.2-48.8, P <0.01) across different countries. Patients with surgical indications for chronic pancreatitis exhibited a higher prevalence (30.7%, 95% CI: 21.8-41.3) than those with pancreatic lesions (16.4%, 95% CI: 14.3-18.7, P <0.01). The type of surgical procedure also influenced the prevalence, with distal pancreatectomy having the highest prevalence (23.7%, 95% CI: 22.2-25.3, P <0.01). Moreover, the prevalence of worsening and resolution of preoperative diabetes was 41.1 and 25.8%, respectively. Postoperative diabetes has a relatively high prevalence in patients undergoing partial pancreatectomy, which calls for attention and dedicated action from primary care physicians, specialists, and health policy makers alike.

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.

Nonalcoholic Fatty Liver Disease before Kidney Transplantation Correlates with New Onset Diabetes and Poor Metabolic Outcomes

Introduction: Cardiovascular disease (CVD) is the leading cause of morbidity and mortality after kidney transplantation. Metabolic syndrome is common in renal transplant recipients and is associated with increased CVD risk in those patients. Nonalcoholic fatty liver disease (NAFLD) is considered to be the hepatic manifestation of a multi-system disorder, including CVD and metabolic syndrome. The data about prevalence of NAFLD before kidney transplantation and its consequences following transplantation are scarce. Methods: A retrospective study of metabolic parameters and sonographic evidence of NAFLD, and an analysis of its metabolic outcomes, was performed in 341 consecutive kidney transplant recipients. Results: One-hundred twenty-four (36.4%) kidney recipients had NAFLD before transplantation. The risk of NAFLD before kidney transplantation was independently and significantly related to diabetes (OR = 1.8), male gender (OR = 1.4), older age (every year of age increased the risk by 4%), higher BMI (every increase of 1 kg/m² increased the risk by 15%), and higher triglycerides level. Mean levels of liver enzymes were similar in patients with and without NAFLD. Recipients with NAFLD before transplantation had a higher prevalence of new onset diabetes, even after adjustment to covariables. In addition, they had a higher increase in liver enzymes, triglycerides, and FIB-4 score, as an indication of liver fibrosis, after transplantation. Furthermore, NAFLD pre-transplantation was independently associated with cardiovascular mortality (HR = 4.4) following kidney transplantation. Conclusions: Sonographic evidence of NAFLD before kidney transplantation is associated with significant metabolic outcomes including de novo diabetes and cardiovascular mortality following transplantation and should be included as part of the assessment of kidney transplant candidate.

P8.080: Prevalence of New Onset Diabetes After Transplantation in Native Africans

P8.080: Prevalence of New Onset Diabetes After Transplantation in Native Africans

Non-Alcoholic Fatty Liver Disease (NAFLD) Is an Independent Risk Factor for Developing New-Onset Diabetes After Acute Pancreatitis: A Multicenter Retrospective Cohort Study in Chinese Population.

BackgroundNumerous studies validated frequent glucose dysfunction in patients with acute pancreatitis (AP). However, the prevalence of new-onset diabetes in individuals after a first episode of AP varies widely among previous studies. This study aims to determine the incidence of post-acute pancreatitis diabetes mellitus (PPDM-A) in Chinese people and further identify potential risk factors that influence diabetes development in patients with AP.MethodsThis was a multi-center retrospective cohort study including 6009 inpatients with a first attack of AP. A total of 1804 patients with AP without known endocrine pancreatic disorders or other pancreatic exocrine diseases were eligible for analysis. Data was collected from medical records by hospital information system and telephone follow-ups after discharge. The multiple logistic regression analysis was established to evaluate the potential influencing factors of PPDM-A.ResultsThe prevalence of newly diagnosed diabetes after a first episode of AP in China was 6.2%. Data showed that patients who developed PPDM-A were more likely to be younger (X2 = 6.329, P = 0.012), experienced longer hospital stays (X2 = 6.949, P = 0.008) and had a higher frequency of overweight or obesity (X2 = 11.559, P = 0.003) compared to those with normal glycemia. The frequency of stress hyperglycemia on admission (X2 = 53.815, P < 0.001), hyperlipidemia (X2 = 33.594, P < 0.001) and non-alcoholic fatty liver disease (NAFLD) (X2 = 36.335, P < 0.001) were significantly higher among individuals with PPDM-A compared with control group. Also, patients with PPDM-A were more likely to be hyperlipidemic AP (X2 = 16.304, P = 0.001) and show a higher degree of severity (X2 = 7.834, P = 0.020) and recurrence rate (X2 = 26.908, P < 0.001) of AP compared to those without diabetes. In addition, multiple logistic regression analysis indicated that stress hyperglycemia, hyperlipidemia, NAFLD and repeated attacks of AP were the independent influence factors for developing PPDM-A.ConclusionOur study first demonstrated the prevalence of secondary diabetes in Chinese patients after AP. The disorder of glucose metabolism in individuals with AP should be regularly evaluated in clinical practice. Further studies are needed to verify the relationship between liver and pancreas in keeping glucose homeostasis under AP condition.

Clinical characteristics and outcome of hospitalized children and adolescent patients with type 1 diabetes during the COVID-19 pandemic: data from a single center surveillance study in Egypt

COVID-19 pandemic significantly impacted the diagnosis of type 1 diabetes and its acute complications. Thus, the study aimed to evaluate the characteristics of pediatric patients with type 1 diabetes hospitalized during the first wave of the pandemic and the prevalence of new onset diabetes among patients with evidence of COVID-19 infection. A single-center surveillance study included all patients with diabetes admitted to Children's Hospital, Ain Shams University, in Egypt between May to August 2020. Data were collected to evaluate patients' clinical and laboratory characteristics as well as their outcomes. Thirty-six patients were admitted during the study period. The mean age was 8.4±3.8years. Patients presented late to the emergency department with a mean delay of 3.05±1.19days from onset of symptoms. 34/36 patients presented in diabetic ketoacidosis (DKA), 50% presenting in severe DKA. Almost 81% of the patients were newly diagnosed. During the study period, SARS-CoV-2 PCR was found positive in four patients, COVID Ig M antibodies were positive in another two patients; all were symptomatic requiring ICU admission. Four patients showed a picture suggestive of the multi-inflammatory syndrome (MIS-C); cardiac affection was a constant feature. The pandemic affected both the prevalence and severity of DKA among pediatric patients. The increased prevalence of severe DKA could be partly related to delayed hospital admission or the effect of COVID-19 in triggering DKA. Efforts should be done to continuously raise awareness about diabetes in children as well as the importance of seeking timely medical guidance.

The Prevalence of New Onset Diabetes Mellitus after Renal Transplantation in Patients with Immediate Posttransplant Hyperglycemia in a Tertiary Care Centre.

Objectives:This study aimed to determine the prevalence of immediate posttransplant hyperglycemia and new onset diabetes after renal transplantation (NODAT). It also aims at answering whether posttransplant hyperglycemia per se is a risk factor for future development of NODAT.Methods:A retrospective study was conducted among patients undergoing kidney transplantation under a single surgical unit in a tertiary care hospital in the past 5 years. All known patients with diabetes were excluded from the study. Immediate postoperative hyperglycemia was defined as random blood sugar (RBS) ≥200 mg/dl or requirement of insulin. NODAT was defined as fasting plasma glucose ≥126 mg/dl or RBS ≥200 mg/dl or if the patient is receiving therapy for glycemic control at 6 weeks or 3 months posttransplantation.Results:The study population included 191 patients. The overall prevalence of posttransplant hyperglycemia and NODAT was 31.4% and 26.7%, respectively. NODAT developed in 28 patients (46.7%) of those who had posttransplant hyperglycemia. Thus, posttransplant hyperglycemia was associated with a fourfold increased risk of NODAT (P = 0.000). Posttransplant hyperglycemia was associated with increased infections (P = 0.04) and prolonged hospital stay (P = 0.0001). Increased age was a significant risk factor for NODAT (P = 0.000), whereas gender, acute rejection episodes, cadaveric transplant, hepatitis C virus status, human leukocyte antigen mismatch, and high calcineurin levels were not significantly associated with the future development of NODAT.Conclusion:The significant risk of NODAT posed by posttransplant hyperglycemia makes it prudent to follow up these patients more diligently in a resource-limited setting wherein routine monitoring in all patients is cumbersome.

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.

Risk Factors and Outcomes of New-Onset Diabetes After Transplant: Single-Centre Experience

We sought to study the prevalence, risk factors, and long-term prognosis of posttransplant diabetes mellitus. We studied all patients with end-stage renal disease without diabetic nephropathy who received a kidney transplant and were followed-up at our center since 1983 (n=218; age, 44.3 ± 13.1 y). Patients with new-onset diabetes after transplant were compared to kidney transplant recipients without risk factors for diabetes mellitus. Patients with new-onset diabetes after transplant were divided into subgroups according to time of onset (early; < 90 d vs late, ≥ 90 d). In total, 73/218 patients (33%) developed new-onset diabetes after transplant. Patients with new-onset diabetes after transplant were significantly older (51.2 ± 11.4 vs 40.7 ± 12.5 y; P < .001) and had a tendency to have a higher body mass index (29.6 ± 8.7 vs 21.6 ± 7.8 kg/m2; P =.05) than those that did not have new-onset diabetes after transplant. In multivariate analysis, age (P < .001), hepatitis C virus infection (P < .05), family history of diabetes mellitus (P < .03), and tacrolimus use (P < .001) were independent risk factors. Five- and 10-year death censored patient survival rates were worse in those that had new-onset diabetes after transplant compared with controls (log rank, 0.04), whereas there was no difference in outcomes between the early and late subgroups. The prevalence of new-onset diabetes after transplant was 33%. Age, body weight at time of transplant, tacrolimus use, family history of diabetes mellitus, and hepatitis C virus infection are independent risk factors for new-onset diabetes after transplant. New-onset diabetes after transplant has a negative effect on patient survival, irrespective of the time of onset and duration of diabetes.

IS PRE-LIVER TRANSPLANT OBESITY A RISK FACTOR FOR POSTTRANSPLANT METABOLIC COMPLICATIONS?

203 Some transplant (tx) centers are reluctant to transplant obese patients due to potential obesity-related complications. This study attempted to determine if metabolic complications were related to body mass index [BMI=wt (in kg)/ht(in m2)]. Methods: 1245 liver tx recipients transplanted from 1985-1996 with >1-yr follow-up were classified by BMI.TableLiver function tests; serum cholesterol, triglyceride, and creatinine levels; glofil; onset of posttx diabetes; and weight gain were compared between the groups during the first posttx yr. Results: There were no differences in liver function tests or prevalence of new-onset diabetes. Glofil rate was significantly higher in group B (61) compared with other groups (A-54, C-58, D-48) at 3 months but not at 1 year posttx. 1-, 3- and 5-year patient and graft survival rates did not differ between groups.TableDiscussion: Because morbid obesity has been a relative contraindication for tx at our center, this analysis excludes pts who were so obese as to be considered inoperable. Posttx weight gain was highest in patients with lowest tx weights. Severely/morbidly obese patients' weight did not increase during the first posttx year. Creatinine levels appeared to reflect differences in lean mass; glofil differences were not clinically important. Conclusions: Few short-term posttx metabolic disturbances were associated with increased BMI. Long-term complications often associated with obesity such as fatty liver changes and cardiovascular disease should also be evaluated.