Avaliação dos hábitos de vida e o risco de desenvolvimento de diabetes mellitus tipo 2 em uma universidade de goiás / Assessment of lifestyle habits and the risk of developing type 2 diabetes at a university in Goiás / Evaluación de los hábitos de vida y el riesgo de desarrollar diabetes mellitus tipo 2 en una universidad de Goiás

Introdução:O diabetes mellitustipo 2éuma condição endócrino-metabólica caracterizada pela hiperglicemia crônica decorrente da progressiva perda de sensibilidade periférica à insulina. Com efeito, as mudanças ocorridas nos padrões alimentares e de atividade física nos últimos anos possuem estreita relação com o aumento na prevalência dediabetes mellitus tipo 2mundialmente. Dito isso, é imprescindível a identificação precoce dos hábitos de vida inadequados na população, para que seja possível atuar preventivamente e diminuir os riscos de desenvolvimento da doença. Objetivo:Analisar os fatores de risco e o risco de desenvolvimento de diabetes mellitustipo 2 entre os alunos do curso de medicina, por meio do Escore Finlandês de Risco de Diabetes. Metodologia:Estudo epidemiológico analítico realizado por meio de questionário auto aplicado. As prevalências dos fatores de risco foram calculadas, e o teste do qui-quadrado e/ou Exato de Fisher foram realizados para verificar possível associação dos fatores de risco e o perfil dos entrevistados. 343 estudantes participaram do estudo. Resultados:A pontuação foi de 4,45 na amostra geral, classificado como "risco baixo". Os fatores de risco mais prevalentes foram parentesco com indivíduo portador de diabetes, alimentação não-saudável e sedentarismo. Houve associação entre sexo feminino e sedentarismo e entre sexo masculino e sobrepeso/obesidade. Conclusões:O escore de risco dos estudantes de medicina é considerado baixo e a presença de fatores de risco pode ser associada ao perfil do entrevistado (AU).

Introduction:Diabetes mellitus type 2is an endocrine and metabolic condition characterized by chronic hyperglycemia arising from progressive loss of peripheral sensibility to insulin. Effectively, changes in diet and physical activity in the past years are closely related to the increase in prevalence of diabetes mellitus type 2worldwide. Considering that, it is indispensable to perform an early identification of inadequate populational lifestyles in order to allow preventative measures seeking to decrease the development of this disease. Objective:Analyzing the risk factors and risks of developing diabetes mellitus type 2 among the medicine school students through the Finnish Diabetes Risk Score. Methodology:Analytic epidemiologic study through a self-assessment questionnaire. Risk factors prevalence were calculated and the chi-square test and/or the Fisher's exact test were conducted to verify a possible association between risk factors and interviewees' profile. 343 students have participated in the study. Results:Within the general sampling, the final scorewas 4.45, which is classified as "low risk". The most prevalent risk factors were: being related to individuals with diabetes, unhealthy diet, and sedentarism. There was an association of female individuals and sedentarism, and of male individuals and overweight/obesity. Conclusions:The risk score of the medicine school students is considered low and the appearance of risk factors can be associated to the interviewee's profile (AU).

Introducción: El diabetes mellitus clase 2es una condición endocrino-metabólica caracterizada por la hiperglucemia crónica originada por la progresiva pérdida de sensibilidad periférica a la insulina. En efecto, los cambios que ocurren en los estándares alimentarios y de actividad física en los últimos años tienen relación con el aumento de la prevalencia dediabetes mellitus classe 2mundialmente. Por ello, es importante la identificación temprana de los hábitos de vida no adecuados en la población para que se pueda actuar de manera preventiva y disminuir los riesgos de desarrollo de esta enfermedad. Objetivo: Analizar los factores de riesgo y el riesgo del desarrollo de diabetes mellitus clase 2 entre los alumnos del curso de medicina, a través del Score Finlandés de Riesgo de Diabetes. Metodología: Estudios epidemiológico-analíticos hechos a través de encuestas auto aplicadas. Las prevalencias de los factores de riesgo se calculan y el test de chicuadrado y/o Exacto de Fisher serealizan para verificar la posible asociación de los factores de riesgo y el perfil de los entrevistados. 343 estudiantes participan del estudio. Resultados: La puntuación es de 4,45 en la muestra general, clasificado como "riesgo bajo". Los factores de riesgo más prevalentes fueron parentesco con individuo que tiene diabetes, alimentación no sana y sedentarismo. Hubo asociación entre sexo femenino y sedentarismo y entre sexo masculino y sobrepeso/obesidad.Conclusiones: El score de riesgo de los estudiantes de medicina es considerado bajo y la presencia de factores de riesgo puede asociarse al perfil del entrevistado (AU).

Conditional Deletion of ß-Catenin in the Mediobasal Hypothalamus Impairs Adaptive Energy Expenditure in Response to High-Fat Diet and Exacerbates Diet-Induced Obesity.

ß-Catenin is a bifunctional molecule that is an effector of the wingless-related integration site (Wnt) signaling to control gene expression and contributes to the regulation of cytoskeleton and neurotransmitter vesicle trafficking. In its former role, ß-catenin binds transcription factor 7-like 2 (TCF7L2), which shows strong genetic associations with the pathogenesis of obesity and type-2 diabetes. Here, we sought to determine whether ß-catenin plays a role in the neuroendocrine regulation of body weight and glucose homeostasis. Bilateral injections of adeno-associated virus type-2 (AAV2)-mCherry-Cre were placed into the arcuate nucleus of adult male and female ß-catenin flox mice, to specifically delete ß-catenin expression in the mediobasal hypothalamus (MBH-ß-cat KO). Metabolic parameters were then monitored under conditions of low-fat (LFD) and high-fat diet (HFD). On LFD, MBH-ß-cat KO mice showed minimal metabolic disturbances, but on HFD, despite having only a small difference in weekly caloric intake, the MBH-ß-cat KO mice were significantly heavier than the control mice in both sexes (p < 0.05). This deficit seemed to be due to a failure to show an adaptive increase in energy expenditure seen in controls, which served to offset the increased calories by HFD. Both male and female MBH-ß-cat KO mice were highly glucose intolerant when on HFD and displayed a significant reduction in both leptin and insulin sensitivity compared with controls. This study highlights a critical role for ß-catenin in the hypothalamic circuits regulating body weight and glucose homeostasis and reveals potential mechanisms by which genetic variation in this pathway could impact on development of metabolic disease.

Utilization of the corticomedullary difference in magnetic resonance imaging-derived apparent diffusion coefficient for noninvasive assessment of chronic kidney disease in type 2 diabetes.

BACKGROUNDS: Accumulating data demonstrated that the cortico-medullary difference in apparent diffusion coefficient (ΔADC) of diffusion-weighted magnetic resonance imaging (DWI) was a better correlation with kidney fibrosis, tubular atrophy progression, and a predictor of kidney function evolution in chronic kidney disease (CKD). OBJECTIVES: We aimed to assess the value of ΔADC in evaluating disease severity, differential diagnosis, and the prognostic risk stratification for patients with type 2 diabetes (T2D) and CKD. METHODS: Total 119 patients with T2D and CKD who underwent renal MRI were prospectively enrolled. Of them, 89 patients had performed kidney biopsy for pathological examination, including 38 patients with biopsy-proven diabetic kidney disease (DKD) and 51 patients with biopsy-proven non-diabetic kidney disease (NDKD) and Mix (DKD + NDKD). Clinicopathological characteristics were compared according to different ΔADC levels. Moreover, univariate and multivariate-linear regression analyses were performed to explore whether ΔADC was independently associated with estimated glomerular filtration rate (eGFR) and urinary albumin creatinine ratio (UACR). The diagnostic performance of ΔADC for discriminating DKD from NDKD + Mix was evaluated by receiver operating characteristic (ROC) analysis. In addition, an individual's 2- or 5-year risk probability of progressing to end-stage kidney disease (ESKD) was calculated by the kidney failure risk equation (KFRE). The effect of ΔADC on prognostic risk stratification was assessed. Additionally, net reclassification improvement (NRI) was used to evaluate the model performance. RESULTS: All enrolled patients had a median ΔADC level of 86 (IQR 28, 155) × 10-6 mm2/s. ΔADC significantly decreased across the increasing staging of CKD (P < 0.001). Moreover, those with pathological-confirmed DKD has a significantly lower level of ΔADC than those with NDKD and Mix (P < 0.001). It showed that ΔADC was independently associated with eGFR (ß = 1.058, 95% CI = [1.002,1.118], P = 0.042) and UACR (ß = -3.862, 95% CI = [-7.360, -0.365], P = 0.031) at multivariate linear regression analyses. Besides, ΔADC achieved an AUC of 0.707 (71% sensitivity and 75% specificity) and AUC of 0.823 (94% sensitivity and 67% specificity) for discriminating DKD from NDKD + Mix and higher ESKD risk categories (≥50% at 5 years; ≥10% at 2 years) from lower risk categories (<50% at 5 years; <10% at 2 years). Accordingly, the optimal cutoff value of ΔADC for higher ESKD risk categories was 66 × 10-6 mm2/s, and the group with the low-cutoff level of ΔADC group was associated with 1.232 -fold (95% CI 1.086, 1.398) likelihood of higher ESKD risk categories as compared to the high-cutoff level of ΔADC group in the fully-adjusted model. Reclassification analyses confirmed that the final adjusted model improved NRI. CONCLUSIONS: ΔADC was strongly associated with eGFR and UACR in patients with T2D and CKD. More importantly, baseline ΔADC was predictive of higher ESKD risk, independently of significant clinical confounding. Specifically, ΔADC <78 × 10-6 mm2/s and <66 × 10-6 mm2/s would help to identify T2D patients with the diagnosis of DKD and higher ESKD risk categories, respectively.

Mode of action and human relevance assessment of male CD-1 mouse renal adenocarcinoma associated with lifetime exposure to empagliflozin.

Inhibition of sodium-glucose cotransporter-2 (SGLT2) has been shown to be a safe and efficacious approach to support managing Type 2 diabetes. In the 2-year carcinogenicity study with the SGLT2 inhibitor empagliflozin in CD-1 mice, an increased incidence of renal tubular adenomas and carcinomas was identified in the male high-dose group but was not observed in female mice. An integrated review of available nonclinical data was conducted to establish a mode-of-action hypothesis for male mouse-specific tumorigenesis. Five key events were identified through systematic analysis to form the proposed mode-of-action: (1) Background kidney pathology in CD-1 mice sensitizes the strain to (2) pharmacology-related diuretic effects associated with SGLT2 inhib ition. (3) In male mice, metabolic demand increases with the formation of a sex- and species-specific empagliflozin metabolite. These features converge to (4) deplete oxidative stress handling reserve, driving (5) constitutive cellular proliferation in male CD-1 mice. The proposed mode of action requires all five key events for empagliflozin to present a carcinogenicity risk in the CD-1 mouse. Considering that empagliflozin is not genotoxic in the standard battery of genotoxicity tests, and not all five key events are present in the context of female mice, rats, or humans, nor for other osmotic diuretics or other SGLT2 inhibitors, the observed male mouse renal tumors are not considered relevant to humans.

Desenvolvimento de rota sintética da Rosiglitazona em processo batelada e microrreator capilar / Rosiglitazone synthetic route development in batch process and capillary microreactor

Para que os fármacos possam ser comercializados economicamente, a sua escala de produção deve ser aumentada para atender à demanda do mercado. Atualmente, a maior parte dos fármacos são sintetizados em processos batelada que possuem limitações quanto à eficiência de mistura, temperatura e pressão. O uso de microrreatores surge como alternativa na indústria químico-farmacêutica, aumentando a eficiência dos processos de maneira segura. Ferramentas utilizadas no segmento computacional multidisciplinar teórico, como o DFT (Density Functional Theory), podem prever e compreender o comportamento das reações químicas, podendo ter grande utilidade na síntese de novos fármacos economizando tempo, investimento e reduzindo a geração de resíduos. A diabetes mellitus é uma doença de caráter epidêmico, que a cada ano vem aumentando o número de casos. O emprego de fármacos derivados das glitazonas no tratamento de diabetes mellitus tipo 2 é recomendado devido ao excelente controle glicêmico que esta classe de fármacos oferece. Neste trabalho, foi sintetizada a Rosiglitazona, um fármaco derivado das glitazonas, que auxilia no tratamento da diabetes mellitus tipo 2, sendo estudadas duas rotas de síntese distintas, que foram otimizadas com o intuito de maximizar o rendimento de seus intermediários, obtendo a Rosiglitazona com pureza de cerca de 94%. Foi realizada, para os intermediários, aqui denominados, 1R, 2R2 e 3R2 a síntese one-pot e para os intermediários 1R, 2R1 e 3R2 foi realizada a transposição do processo usual em batelada para fluxo contínuo no microrreator, com rendimentos de até 93%. Com o auxílio da química quântica computacional, a reação de síntese do intermediário 1R, foi elucidada teoricamente e determinadas as grandezas termodinâmicas (ΔH‡, ΔG‡ e ΔS‡) no estado de transição, que foram comparadas com os valores experimentais, sendo constatada uma boa concordância, com desvio máximo de 14%

In order for drugs to be commercialized economically, their production scale must be increased to meet market demand. Currently, most drugs are synthesized in batch processes that have limitations in terms of mixing efficiency, temperature and pressure. The use of microreactors appears as an alternative in the chemical-pharmaceutical industry, increasing the efficiency of the synthesis processes in a safe way. Tools used in the theoretical multidisciplinary computational segment, such as DFT (Density Functional Theory), can predict and understand the behavior of chemical reactions, and can be very useful in the synthesis of new drugs, saving time, investment and reducing waste generation. Diabetes mellitus is an epidemic disease that has been increasing the number of cases every year. The use of drugs derived from glitazones in the treatment of type 2 diabetes mellitus is recommended due to the excellent glycemic control that this class of drugs offers. In this work, Rosiglitazone, a drug derived from glitazones, which helps in the treatment of type 2 diabetes mellitus, was synthesized. Two different synthetic routes were studied and optimized in order to maximize the yield of its intermediates, obtaining Rosiglitazone with purity of about 94%. One-pot synthesis was performed to 1R, 2R2 and 3R2 intermediates, and the transposition from the usual batch process to continuous flow in microreactor was performed to 1R, 2R1 and 3R2 intermediates, with yields of up to 93%. With the aid of computational quantum chemistry, the intermediate 1R synthesis reaction was theoretically elucidated and the thermodynamic properties were determined (ΔH‡, ΔG‡ and ΔS‡) in the transition state, which were compared with the experimental results, obtaining good agreement, with a maximum deviation of 14%

Caracterización del programa de salud cardiovascular GES DM2 e HTA bajo un modelo de intervenciones múltiples en una Unidad de Salud Familiar (UMF) de un centro médico privado / Characterization of a cardiovascular health program in Type 2 Diabetes Mellitus and Arterial Hypertension, under a model of multiple interventions in a Family Medicine Health Unit, of a private medical center

In the Family Medicine Unit (UMF) of the UC Health Network there is a program of multiple interventions based on a Chronic Control Model (CCM), led by a nurse who coordinates the activities and ensures compliance, aspiring to a change in its model of care and self-sustainability. It has been running for several years and its implementation and results have not been evaluated. Objective: This study aims to describe the situation of the Program, at its different levels: structure, processes and results. Material and method: Observational, descriptive longitudinal study of patients seen between July 2010 and June 2012, based on: methodology proposed by A. Donabedian; E. Wagner recommendations for the MTC; Monthly Statistical Registers and recommendations of the GES DM2 and HTA (MINSAL) Guides. Results: Hypertensive patients present a reduction of 11.2 mmHg in SBP and 7.8 mmHg in DBP (p 0.04). Diabetics present a reduction in HbA1c by 1.5 percentage points (p 0.04), and mixed patients present a SBP / DBP reduction of 10.3 and 6.8 mmHg respectively and an HbA1c reduction of 1.1 percentage points (p 0.092). Conclusions: After an average of 15 months, hypertensive patients significantly improve their mean SBP, DBP and compensation percentages; diabetics significantly improve their mean HbA1c and compensation percentages; mixed patients manage to improve their blood pressure and HbA1c levels, but this is not statistically significant.

DNA Methylation and Type 2 Diabetes: Novel Biomarkers for Risk Assessment?

Diabetes is a severe threat to global health. Almost 500 million people live with diabetes worldwide. Most of them have type 2 diabetes (T2D). T2D patients are at risk of developing severe and life-threatening complications, leading to an increased need for medical care and reduced quality of life. Improved care for people with T2D is essential. Actions aiming at identifying undiagnosed diabetes and at preventing diabetes in those at high risk are needed as well. To this end, biomarker discovery and validation of risk assessment for T2D are critical. Alterations of DNA methylation have recently helped to better understand T2D pathophysiology by explaining differences among endophenotypes of diabetic patients in tissues. Recent evidence further suggests that variations of DNA methylation might contribute to the risk of T2D even more significantly than genetic variability and might represent a valuable tool to predict T2D risk. In this review, we focus on recent information on the contribution of DNA methylation to the risk and the pathogenesis of T2D. We discuss the limitations of these studies and provide evidence supporting the potential for clinical application of DNA methylation marks to predict the risk and progression of T2D.

Trends in type 2 diabetes mellitus disease burden in European Union countries between 1990 and 2019.

This observational study aimed to assess trends in type 2 diabetes mellitus (T2DM) disease burden in European Union countries for the years 1990-2019. Sex specific T2DM age-standardised prevalence (ASPRs), mortality (ASMRs) and disability-adjusted life-year rates (DALYs) per 100,000 population were extracted from the Global Burden of Disease (GBD) Study online results tool for each EU country (inclusive of the United Kingdom), for the years 1990-2019. Trends were analysed using Joinpoint regression analysis. Between 1990 and 2019, increases in T2DM ASPRs were observed for all EU countries. The highest relative increases in ASPRs were observed in Luxembourg (males + 269.1%, females + 219.2%), Ireland (males + 191.9%, females + 165.7%) and the UK (males + 128.6%, females + 114.6%). Mortality trends were less uniform across EU countries, however a general trend towards reducing T2DM mortality was observed, with ASMRs decreasing over the 30-year period studied in 16/28 countries for males and in 24/28 countries for females. The UK observed the highest relative decrease in ASMRs for males (- 46.9%). For females, the largest relative decrease in ASMRs was in Cyprus (- 67.6%). DALYs increased in 25/28 countries for males and in 17/28 countries for females between 1990 and 2019. DALYs were higher in males than females in all EU countries in 2019. T2DM prevalence rates have increased across EU countries over the last 30 years. Mortality from T2DM has generally decreased in EU countries, however trends were more variable than those observed for prevalence. Primary prevention strategies should continue to be a focus for preventing T2DM in at risk groups in EU countries.

Multi-strain probiotic supplement attenuates streptozotocin-induced type-2 diabetes by reducing inflammation and ß-cell death in rats.

Probiotics are health beneficial bacterial populations colonizing the human gut and skin. Probiotics are believed to be involved in immune system regulation, gut microbiota stabilization, prevention of infectious diseases, and adjustments of host metabolic activities. Probiotics such as Lactobacillus and Bifidobacterium affect glycemic levels, blood lipids, and protein metabolism. However, the interactions between probiotics and metabolic diseases as well as the underlying mechanisms remain unclear. We used streptozotocin (STZ)-induced diabetic animal models to study the effect of ProbiogluTM, a multi-strain probiotic supplement including Lactobaccilus salivarius subsp. salicinius AP-32, L. johnsonii MH-68, L. reuteri GL-104, and Bifidobacterium animalis subsp. lactis CP-9, on the regulation of physiochemical parameters related to type-2 diabetes. Experimental rats were randomly assigned into five groups, control group, streptozotocin (STZ)-treated rats (STZ group), STZ + 1× ProbiogluTM group, STZ + 5× ProbiogluTM group, and STZ + 10× ProbiogluTM group, and physiological data were measured at weeks 0, 2, 4, 6, and 8. Our results indicate that supplementation with ProbiogluTM significantly improved glucose tolerance, glycemic levels, insulin levels, and insulin resistance (HOMA-IR). Furthermore, we observed reduction in urea and blood lipid levels, including low-density lipoprotein (LDL), triglycerides (TG), and total cholesterol (TC). ProbiogluTM administration increased the ß-cell mass in STZ-induced diabetic animal models, whereas it reduced the levels of proinflammatory cytokines TNF-α, IL-6, and IL-1ß. In addition, the enhancement of oxidative stress biomarkers and superoxide dismutase (SOD) activities was associated with a decrease in malondialdehyde (MDA) levels. We conclude that ProbiogluTM attenuates STZ-induced type-2 diabetes by protecting ß-cells, stabilizing glycemic levels, and reducing inflammation. Among all probiotic treating groups, the 10×ProbiogluTM treatment revealed the best results. However, these experimental results still need to be validated by different animal models of type-2 diabetes and human clinical trials in the future.

A 16-year prospective cohort study to evaluate effects of long-term fluctuations in obesity indices of prediabetics on the incidence of future diabetes.

This study aimed to evaluate the patterns of changes in obesity indices over time in prediabetic subjects and to classify these subjects as either having a low, moderate, and high risk for developing diabetes in the future. This study was conducted among 1228 prediabetics. The patterns of changes in obesity indices based on three measurements including first, mean values during the follow-up period, and last visit from these indices were evaluated by using the latent Markov model (LMM). The mean (standard deviation) age of subjects was 44.0 (6.8) years and 73.6% of them were female. LMM identified three latent states of subjects in terms of change in all anthropometric indices: a low, moderate, and high tendency to progress diabetes with the state sizes (29%, 45%, and 26%), respectively. LMM showed that the probability of transitioning from a low to a moderate tendency to progress diabetes was higher than the other transition probabilities. Based on a long-term evaluation of patterns of changes in obesity indices, our results reemphasized the values of all five obesity indices in clinical settings for identifying high-risk prediabetic subjects for developing diabetes in future and the need for more effective obesity prevention strategies.

Assessment of the simultaneous effect of hypothyroidism and thyroid autoimmunity with gestational diabetes on the incidence of type 2 diabetes.

INTRODUCTION: Despite the evidence available on the adverse impact of gestational diabetes (GDM) and thyroid disorders on developing type 2 diabetes (T2DM), the concurrent influence of these disorders on the incidence of T2DM has not been reported yet. METHODS: In this prospective study, 1894 non-diabetic women aged 20 to 60 years, with a history of at least one term delivery, without diagnosed hyperthyroidism were selected at the initiation of the Tehran Thyroid Study (TTS). Pooled logistic regression analyses were used to investigate the association of GDM, thyroid disorders i.e., hypothyroidism and/or thyroid peroxidase antibody (TPOAb) positivity and interaction between GDM and thyroid disorders with the risk of incident T2DM. RESULTS: Of the 1894 participants of the present study, 346 (18.3%) had a history of GDM, and 832 (43.9%) had thyroid disorders. The total cumulative incidence rate of T2DM at the median follow-up time of ~ 12 years was overall 12/1000 person-years (95% confidence interval (CI): 10/1000-13/1000), with an incidence rate of 16/1000 (95%CI: 13/1000-20/1000) in women with GDM; and 11/100,000 (95%CI: 9/100,000-12/1000) among those without GDM. After adjustment for age, the risk of incident T2DM increased among individuals with the previous GDM compared to women without a history of GDM (odds ratio (OR): 1.54, 95%CI: 1.06, 2.25). No significant associations were found between either thyroid disorders or the interaction between GDM and thyroid disorders with the development of T2DM; (OR: 1.14, 95%CI: 0.82, 1.58) and (OR: 1.27, 95%CI: 0.66, 2.43), respectively. CONCLUSION: GDM and thyroid disorders have no concurrent impacts on the incidence of T2DM.

Assessment of left ventricular deformation in patients with type 2 diabetes mellitus by cardiac magnetic resonance tissue tracking.

To quantify the global and regional left ventricular (LV) myocardial strain in type 2 diabetes mellitus (T2DM) patients using cardiac magnetic resonance (CMR) tissue-tracking techniques and to determine the ability of myocardial strain parameters to assessment the LV deformation. Our study included 98 adult T2DM patients (preserved LV ejection fraction [LVEF], 72; reduced LVEF, 26) and 35 healthy controls. Conventional LV function, volume-time curve parameters and LV remodeling index were measured using CMR. Global and regional LV myocardial strain parameters were measured using CMR tissue tracking and compared between the different sub-groups. Receiver operating characteristic analysis was used to assess the diagnostic accuracy. Regression analyses were conducted to determine the relationship between strain parameters and the LV remodeling index. The results show that global radial peak strain (PS) and circumferential PS were not significantly different between the preserved-LVEF group and control group (P > 0.05). However, longitudinal PS was significantly lower in the preserved-LVEF group than in the control group (P = 0.005). Multivariate linear and logistic regression analyses showed that global longitudinal PS was independently associated (ß = 0.385, P < 0.001) with the LV remodeling index. In conclusion, early quantitative evaluation of cardiac deformation can be successfully performed using CMR tissue tracking in T2DM patients. In addition, global longitudinal PS can complement LVEF in the assessment of cardiac function.

Sociodemographic factors associated with HbA1c variability in type 2 diabetes: a prospective exploratory cohort study.

BACKGROUND: The associations between sociodemographic factors and HbA1c variability in type 2 diabetes are not yet established. Examining group differences in HbA1c variability may help identify patient characteristics related to diabetes management. The present study examined differences in baseline HbA1c and HbA1c variability between groups with regard to sex, level of education, civil status, age, and BMI, in a sample of individuals with type 2 diabetes. METHODS: The study was a prospective exploratory cohort study. Differences in HbA1c variability between sociodemographic groups were analyzed in 158 individuals. HbA1c variability was assessed as the standard deviation (SD) and coefficient of variation (CV) over five measured points, and a questionnaire was used to assess sociodemographic factors. RESULTS: The results showed significantly higher HbA1c variability in men compared to women (mean difference 1.44 mmol/mol [95% CI: 0.58 to 2.31]), and significantly higher HbA1c variability in individuals with a BMI characterized as obese compared to individuals with a BMI characterized as normal weight (mean difference 1.56 mmol/mol [95% CI: 0.25 to 2.88]). There were no significant associations between HbA1c variability and civil status or education. CONCLUSIONS: Men and individuals with obesity may be more vulnerable to future diabetic complications than other groups, since they have greater long-term glycemic variability.

Noninvasive assessment of abdominal adipose tissues and quantification of hepatic and pancreatic fat fractions in type 2 diabetes mellitus.

The purpose of this study was to evaluate adipose tissue distributions and hepatic and pancreatic fat contents using a 6-point Dixon MRI technique in type 2 diabetes mellitus (T2DM), and to assess associations between fat distributions and biochemical markers of insulin resistance. Intra-abdominal MRI was investigated in 14 T2DM patients, 13 age- and sex-matched healthy controls (HC) and 11 young HC using a 3 T Prisma MRI scanner. All T2DM subjects completed a fasting comprehensive metabolic panel, and demographic measurements were taken according to standardized methodologies. We observed excellent correlation (R2 = 0.94) between hepatic fat fraction quantified using 6-point Dixon MRI and gold standard MRS, establishing the accuracy and reliability of the Dixon technique. Significantly increased visceral adipose tissue (VAT) volumes were found in T2DM patients compared to age-matched HC (1569.81 ± 670.62 cm3 vs. 1106.60 ± 566.85 cm3, p = .04). We also observed a trend of increasing subcutaneous adipose tissues (SAT), and total abdominal fat (TAT) volumes in T2DM compared to age-matched HC. Hepatic fat fraction percentage (HFF%) was 44.6% higher in T2DM compared to age-matched HC and 64.4% higher compared to young HC. Pancreatic fat fractions in the head and body/tail were higher in T2DM patients compared to both healthy cohorts. We also observed correlations between fat contents of the liver and pancreas in T2DM patients, and association between biochemical markers of T2DM with HFF, indicating a risk for non-alcoholic fatty liver disease among T2DM. In summary, this study provides evidence of T2DM patients having increased liver and pancreatic fat, as well as increased adipose tissues.

Dietary Assessment of Korean Non-dialysis Chronic Kidney Disease Patients with or without Diabetes.

BACKGROUND: Dietary intervention at the early stage of chronic kidney disease (CKD) is important for preventing progression to the end-stage renal disease (ESRD). However, few studies have investigated dietary intake of CKD patients in non-dialysis stage. Therefore, we investigated the dietary intake of Korean non-dialysis CKD patients and aimed to establish baseline data for the development of dietary education and intervention strategies for CKD patients. METHODS: Three hundred fifty CKD patients who visited Seoul National University Hospital outpatient clinic from February 2016 to January 2017 were recruited for this cross-sectional study. Subjects on dialysis and those who had undergone kidney transplantation were excluded. Dietary intake, demographic information, and biochemical characteristics of 256 subjects who completed three-day dietary records were analyzed. Subjects were divided into four groups based on diabetes mellitus (DM) (DM-CKD and Non-DM-CKD groups) and kidney function (Early-CKD and Late-CKD groups). RESULTS: Total energy intake was lower in the Late-CKD group compared with the Early-CKD group. In men, carbohydrate intake was higher and protein and fat intakes tended to be lower in the Late-CKD group compared with the Early-CKD group. In women, carbohydrate intake tended to be lower in the DM-CKD group than the Non-DM-CKD group. Protein intake tended to be higher in the DM-CKD groups. Phosphorus and sodium intakes were higher in the DM-CKD groups compared with the Non-DM-CKD groups in women, and tended to be higher in the DM-CKD groups in men. CONCLUSION: DM and kidney function affected energy and nutrient intakes. Subjects in the Late-CKD group consumed less energy than those in the Early-CKD group. Non-DM subjects seemed to restrict protein intake starting from the Early-CKD stage than subjects with DM. Subjects in this study had low energy and high sodium intakes compared with recommended levels. Protein intake was lower in advanced CKD patients, but their intake level was still higher than the recommendation. Dietary intervention strategies for non-dialysis CKD patients need to be customized depending on the presence of DM and kidney function.

Economic benefit of prescribing an adjusted renal dose of dipeptidyl peptidase IV inhibitors in type 2 diabetes patients with chronic kidney disease.

Highlights Based on nationwide insurance data in Korea, the use of dipeptidyl peptidase IV inhibitors (DPP-IVi) not requiring renal dose adjustment (NRDA DPP-IVi) is widespread in the type 2 diabetes chronic kidney disease (T2D CKD) population. Instead of prescribing NRDA DPP-IVi, the use of DPP-IVi requiring renal dose adjustment with appropriate renal dose adjustments in T2D CKD patients can achieve a considerable annual cost saving of up to 7.8%.

Mortality trends of liver cancer among patients with type 2 diabetes at the global and national level.

BACKGROUND: Primary liver cancer (PLC) is a commonly diagnosed malignancy, especially in developing countries. Diabetes is one of the well-determined risk factors for PLC. We aimed to describe the temporal trends of PLC mortality among diabetic patients. METHODS: We retrieved the PLC mortality data among diabetic patients from the Global Burden of Disease (GBD) study 2017 online database. Estimated average percentage change (EAPC) was used to quantify the PLC age-standardized mortality rate (ASMR) trends, by sex and country, between 1990 and 2017. RESULTS: Globally, the number of PLC related deaths increased from 3732.1 in 1990 to 9506.4 in 2017, with the ASMR increased from 0.09/100,000 to 0.12/100,000 (EAPC = 0.98, 95% CI 0.82, 1.14) among diabetic patients. Both the ASMR of PLC and its temporal trend were highly heterogeneous across the world. Between 1990 and 2017, a total of 135, 19, and 41 countries or territories experienced a significant increase, remained stable, and experienced a significant decrease in PLC ASMR, respectively. The greatest increase was mainly detected in developed countries, such as the USA, the UK, and Australia. By contrast, the most pronounced decrease was majorly found in developing regions. CONCLUSIONS: In diabetic patients, the PLC mortality was significantly increased at the global level and in approximately 70% of countries or territories over the last three decades. The increasing trend indicated that diabetes is an increasingly important risk factor for PLC and suggested that more tailored prevention strategies are needed for each country.

Application of computerized 3D-CT texture analysis of pancreas for the assessment of patients with diabetes.

OBJECTIVE: To evaluate the role of computerized 3D CT texture analysis of the pancreas as quantitative parameters for assessing diabetes. METHODS: Among 2,493 patients with diabetes, 39 with type 2 diabetes (T2D) and 12 with type 1 diabetes (T1D) who underwent CT using two selected CT scanners, were enrolled. We compared these patients with age-, body mass index- (BMI), and CT scanner-matched normal subjects. Computerized texture analysis for entire pancreas was performed by extracting 17 variable features. A multivariate logistic regression analysis was performed to identify the predictive factors for diabetes. A receiver operator characteristic (ROC) curve was constructed to determine the optimal cut off values for statistically significant variables. RESULTS: In diabetes, mean attenuation, standard deviation, variance, entropy, homogeneity, surface area, sphericity, discrete compactness, gray-level co-occurrence matrix (GLCM) contrast, and GLCM entropy showed significant differences (P < .05). Multivariate analysis revealed that a higher variance (adjusted OR, 1.002; P = .005), sphericity (adjusted OR, 1.649×104; P = .048), GLCM entropy (adjusted OR, 1.057×105; P = .032), and lower GLCM contrast (adjusted OR, 0.997; P < .001) were significant variables. The mean AUCs for each feature were 0.654, 0.689, 0.620, and 0.613, respectively (P < .05). In subgroup analysis, only larger surface area (adjusted OR, 1.000; P = .025) was a significant predictor for T2D. CONCLUSIONS: Computerized 3D CT texture analysis of the pancreas could be helpful for predicting diabetes. A higher variance, sphericity, GLCM entropy, and a lower GLCM contrast were the significant predictors for diabetes.