Obesity in Youth with Type 1 Diabetes in Germany, Austria, and the United States

Trajectories in glycated hemoglobin and body mass index in children and adolescents with diabetes using the common data model

We evaluated trajectories of glycated hemoglobin (HbA1c) levels and body mass index z-scores (BMIz) for 5 years after diagnosis among Korean children and adolescents with type 1 diabetes (T1D) or type 2 diabetes (T2D) using the common data model. From the de-identified database of three hospitals, 889 patients < 15 years of age diagnosed with T1D or T2D (393 boys, 664 T1D patients) were enrolled. Diagnosis was defined as first exposure to antidiabetic drug at each center. Compared with T2D patients, T1D patients had lower BMIz at diagnosis (- 0.4 ± 1.2 vs. 1.5 ± 1.4, p < 0.001) and 3 months (- 0.1 ± 1.0 vs. 1.5 ± 1.5, p < 0.001), and higher HbA1c levels at diagnosis (10.0 ± 2.6% vs. 9.5 ± 2.7%, p < 0.01). After 3 months, HbA1c levels reached a nadir of 7.6% and 6.5% in T1D and T2D patients, respectively, followed by progressive increases; only 10.4% of T1D and 29.7% of T2D patients achieved the recommended HbA1c target (< 7.0%) at 60 months. T1D patients showed consistent increases in BMIz; T2D patients showed no significant change in BMIz during follow-up. Peri-pubertal girls with T1D had higher HbA1c and BMIz values. Achieving optimal glycemic control and preventing obesity should be emphasized in pediatric diabetes care.

Intestinal Microbiota in Common Chronic Inflammatory Disorders Affecting Children

The incidence and prevalence rate of chronic inflammatory disorders is on the rise in the pediatric population. Recent research indicates the crucial role of interactions between the altered intestinal microbiome and the immune system in the pathogenesis of several chronic inflammatory disorders in children, such as inflammatory bowel disease (IBD) and autoimmune diseases, such as type 1 diabetes mellitus (T1DM) and celiac disease (CeD). Here, we review recent knowledge concerning the pathogenic mechanisms underlying these disorders, and summarize the facts suggesting that the initiation and progression of IBD, T1DM, and CeD can be partially attributed to disturbances in the patterns of composition and abundance of the gut microbiota. The standard available therapies for chronic inflammatory disorders in children largely aim to treat symptoms. Although constant efforts are being made to maximize the quality of life for children in the long-term, sustained improvements are still difficult to achieve. Additional challenges are the changing physiology associated with growth and development of children, a population that is particularly susceptible to medication-related adverse effects. In this review, we explore new promising therapeutic approaches aimed at modulation of either gut microbiota or the activity of the immune system to induce a long-lasting remission of chronic inflammatory disorders. Recent preclinical studies and clinical trials have evaluated new approaches, for instance the adoptive transfer of immune cells, with genetically engineered regulatory T cells expressing antigen-specific chimeric antigen receptors. These approaches have revolutionized cancer treatments and have the potential for the protection of high-risk children from developing autoimmune diseases and effective management of inflammatory disorders. The review also focuses on the findings of studies that indicate that the responses to a variety of immunotherapies can be enhanced by strategic manipulation of gut microbiota, thus emphasizing on the importance of proper interaction between the gut microbiota and immune system for sustained health benefits and improvement of the quality of life of pediatric patients.

Non-Insulin Antidiabetes Treatment in Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis

In order to evaluate the efficacy and side effects of the non-insulin antidiabetes medications as an adjunct treatment in type 1 diabetes mellitus (T1DM), we conducted systematic searches in MEDLINE, Embase, and the Cochrane Central Register of Controlled Trials for randomized controlled trials published between the date of inception and March 2020 to produce a systematic review and meta-analysis. Overall, 57 studies were included. Compared with placebo, antidiabetes agents in adjunct to insulin treatment resulted in significant reduction in glycosylated hemoglobin (weighted mean difference [WMD], -0.30%; 95% confidence interval [CI], -0.34 to -0.25%; P<0.01) and body weight (WMD, -2.15 kg; 95% CI, -2.77 to -1.53 kg; P<0.01), and required a significantly lower dosage of insulin (WMD, -5.17 unit/day; 95% CI, -6.77 to -3.57 unit/day; P<0.01). Compared with placebo, antidiabetes agents in adjunct to insulin treatment increased the risk of hypoglycemia (relative risk [RR], 1.04; 95% CI, 1.01 to 1.08; P=0.02) and gastrointestinal side effects (RR, 1.99; 95% CI, 1.61 to 2.46; P<0.01) in patients with T1DM. Compared with placebo, the use of non-insulin antidiabetes agents in addition to insulin could lead to glycemic improvement, weight control and lower insulin dosage, while they might be associated with increased risks of hypoglycemia and gastrointestinal side effects in patients with T1DM.

Cardiometabolic Risk Factors leading to Diabetes Mellitus among the Young (YOD) from the 8th Philippine National Nutrition Survey

Objectives

This study looked into the prevalence of diabetes mellitus (DM) and risks for cardiovascular and metabolic diseases among young adults with diabetes (age 20-44 years old, YOD) and late-onset DM (≥45 years old, LOD) in Filipinos.

Methodology

Weighted data from 546,580 adults with DM from the 8^th Philippine National Nutrition and Health Survey (NNHeS) were utilized. Differences in sociodemographic, anthropometric, clinical profiles and metabolic risks were compared between YOD and LOD.

Results

The aggregated prevalence of DM is 5.43% (95%CI, 5.10–5.79), YOD were 2.64% (95% CI, 2.32–3.00) and LOD 9.85% (95%CI, 9.18–10.56). Mean age of YOD was 37,6 years, LOD 59,9 years. The YOD were mostly males (56%), with higher BMI (26.24 kg/m² vs 25 kg/m², p=0.002), lower mean SBP (122.41±19.17 mmHg vs 135.45±22.47 mmHg, p<0.001), more daily smokers (23% vs 14%), and alcoholic beverage drinkers (39% vs 31%). Physical activity was similar between groups (44% vs 51%, p=0.078). However, average total caloric intake (1776.78±758.38 kcal vs 1596.88±639.16 kcal, p=0.023) and carbohydrate intake (306.13±142.16 grams vs 270.53±104.74 g, p=0.014) were higher in YOD. Dietary carbohydrate proportions were higher than recommended (69% vs 68%) for both groups. Young Filipinos had higher risk to develop diabetes when they are obese II (22% vs 12%), current drinker (56% vs 37%), and current smoker (28% vs 18%). Eighty percent of YOD and LOD had metabolic syndrome (MetS). With every unit increase in age and fat intake, the odds of having MetS were raised by 5.4% (95%CI 1%–10%, p=0.029) and 1.6% (95%CI 0.04%-3%, p=0.044), respectively.

Conclusion

Early-onset diabetes mellitus appears to be driven by obesity, MetS and social behaviors. Modifiable risk factors can be improved early to decrease hazards to develop cardiometabolic complications.

Association between glycaemic outcome and BMI in Danish children with type 1 diabetes in 2000-2018: a nationwide population-based study

AIM

To describe the development of HbA_1c and BMI over time in Danish children with type 1 diabetes; and to investigate the association between HbA_1c and BMI including influence of age, gender, diabetes duration, severe hypoglycaemia and treatment method.

METHODS

We used the nationwide Danish Registry of Childhood and Adolescent Diabetes, DanDiabKids, including annual registrations of all children with diabetes treated at Danish hospitals. With linear mixed-effects models and splines we analyzed the HbA_1c and BMI development over time as well as the association between HbA_1c and BMI including effects of gender, age, disease duration, hypoglycaemia and treatment method. BMI z-scores were calculated for these analyses.

RESULTS

For the period from 2000 to 2018, 6097 children with type 1 diabetes were identified from the DanDiabKids database. The median (interquartile range) HbA_1c level was 65 (57-74) mmol/mol (8.1%) and the median BMI z-score was 0.85 in girls and 0.67 in boys. A non-linear association was found between HbA_1c and BMI z-score, with the highest BMI z-score observed for HbA_1c values in the range of approximately 60-70 mmol/mol (7.6-6.8%). The association was modified by gender, age and diabetes duration. Severe hypoglycaemia and insulin pump treatment had a small positive impact on BMI z-score.

CONCLUSION

The association between HbA_1c and BMI z-score was non-linear, with the highest BMI z-score being observed for intermediate HbA_1c levels; however, specific patterns depended on gender, age and diabetes duration.

Diabetic neuropathy in children and youth: New and emerging risk factors

Pediatric neuropathy attributed to metabolic dysfunction is a well-known complication in children and youth with type 1 diabetes. Moreover, the rise of obesity and in particular of type 2 diabetes may cause an uptick in pediatric neuropathy incidence. However, despite the anticipated increase in neuropathy incidence, pathogenic insights and strategies to prevent or manage neuropathy in the setting of diabetes and obesity in children and youth remain unknown. Data from adult studies and available youth cohort studies are providing an initial understanding of potential diagnostic, management, and preventative measures in early life. This review discusses the current state of knowledge emanating from these efforts, with particular emphasis on the prevalence, clinical presentation, diagnostic approaches and considerations, and risk factors of neuropathy in type 1 and type 2 diabetes in children and youth. Also highlighted are current management strategies and recommendations for neuropathy in children and youth with diabetes. This knowledge, along with continued and sustained emphasis on identifying and eliminating modifiable risk factors, completing randomized controlled trials to assess effectiveness of strategies like weight loss and exercise, and enhancing awareness to support early detection and prevention, are pertinent to addressing the rising incidence of neuropathy associated with diabetes and obesity in children and youth.

Treatment and long-term follow-up of patients diagnosed with type 1 diabetes mellitus before age 5

OBJECTIVES

This study aimed to determine the effects of continuous subcutaneous insulin infusion (CSII) treatment on anthropometric measurements, mean HbA1c, and insulin dosage in patients diagnosed under 5 years of age and compare with multiple-dose injection therapy (MDI).

METHODS

Children with type 1 diabetes mellitus, diagnosed <5 years since 2000 and their 19-year follow-up were evaluated retrospectively. Weight, height, body mass index (BMI), blood pressure, and HbA1c values were recorded for each visit.

RESULTS

Hundred and five patients (58.1% female, 41.9% male) were included in the study. Sixty-three (60 %) patients were treated by CSII and 42 (40%) by MDI. Mean age at diagnosis was 2.68 ± 1.42 and 3.29 ± 1.30 years respectively. Mean follow-up was 7.42 ± 4.76 and 6.01 ± 4.41 years respectively. For each group, weight standard deviation score (SDS) increased significantly in the first year after the diagnosis (p<0.001), and with the onset of puberty weight SDS decreased significantly (p<0.001). The trend of weight and BMI SDS changes over the years showed similar characteristics in both groups. During follow-up height SDS was similar in both groups except in Tanner stage 5. When puberty was completed, mean height SDS was 0.51 ± 1.03 in CSII and -0.31 ± 0.75 in the MDI group (p: 0.029). Mean HbA1c was significantly lower in the CSII group (7.62 ± 0.82 and 8.17 ± 1.22 respectively). Systolic and diastolic blood pressure change trends during the follow-up were also similar in both groups.

CONCLUSIONS

CSII treatment had positive effects on metabolic control and height SDS in patients with early-onset diabetes without increasing BMI.

The Double Whammy of Obesity and Diabetes on Female Reproductive Health

The rising global prevalence of obesity and diabetes, especially in youth, confers substantial metabolic consequences and increased mortality in affected individuals. While obesity is strongly tied to the development of insulin resistance and type 2 diabetes, emerging evidence shows that obesity rates are also increasing exponentially in those with type 1 diabetes, contributing to insulin resistance and cardiometabolic sequelae. In addition, both obesity and diabetes can exert adverse effects on female reproductive health independently, with the presence of both conditions likely to exacerbate reproductive dysfunction in this cohort. If the current trends in obesity and diabetes incidence persist, it is likely that more women will be at risk of obesity- and diabetes-related reproductive disorders. This review aims to describe the epidemiology and mechanisms of obesity in women with diabetes, and summarize current literature regarding reproductive disorders in diabetes and weight management strategies in this cohort.

The Process of Managing the Children with Type 1 Diabetes in the Family: A Grounded Theory Study

Background:

Diabetes is a disease that affects all family members. Parents of children with type 1 diabetes are always concerned about all aspects of children's life. The aim of this study was to elucidate the process of managing children with diabetes in the family.

Materials and Methods:

This is a qualitative grounded theory of a doctoral dissertation, which was done on 2016. The 18 participants were selected through purposive and theoretical sampling until data saturation. The main participants in this study included parents, siblings, and children with type 1 diabetes. The data was gathered by semi-structured interviews as well as field notes and memos. Data analysis was done concurrently with data collection in four levels, including data analysis for concept and contex, bringing the process into the analysis, and integration of categories according to Corbin and Struss (2008). Core category appeared at the end of integrated categories.

Results:

“The family with diabetes in the child's diabetes orbit” as a core category contains the process of managing children with diabetes within the family, which included three main subcategories, including “entering into the diabetes orbit”, “movement into the diabetes orbit”, and “living into the diabetes orbit”.

Conclusions:

The family through the concept of “The family with diabetes in the child's diabetes orbit “as a main concern of families with diabetes suffering diabetes attempt to select and practicing appropriate strategies and manage diabetes and children with diabetes.

Obesity in Patients with Type 1 Diabetes: Links, Risks and Management Challenges

Obesity affects large numbers of patients with type 1 diabetes (T1D) across their lifetime, with rates ranging between 2.8% and 37.1%. Patients with T1D and obesity are characterized by the presence of insulin resistance, of high insulin requirements, have a greater cardiometabolic risk and an enhanced risk of developing chronic complications when compared to normal-weight persons with T1D. Dual treatment of obesity and T1D is challenging and no specific guidelines for improving outcomes of both glycemic control and weight management have been established for this population. Nevertheless, although evidence is scarce, a comprehensive approach based on a balanced hypocaloric diet, physical activity and cognitive behavioral therapy by a multidisciplinary team, expert in both obesity and diabetes, remains as the best clinical practice. However, weight loss responses with lifestyle changes alone are limited, so in the "roadmap" of the treatment of obesity in T1D, it will be helpful to include anti-obesity pharmacotherapy despite at present there is a lack of evidence since T1D patients have been excluded from anti-obesity drug clinical trials. In case of severe obesity, bariatric surgery has proven to be of benefit in obtaining a substantial and long-term weight loss and reduction in cardiovascular risk. The near future looks promising with the development of new and more effective anti-obesity treatments and strategies to improve insulin resistance and oxidative stress. Advances in precision medicine may help individualize and optimize the medical management and care of these patients. This review, by gathering current evidence, highlights the need of solid knowledge in all facets of the treatment of patients with obesity and T1D that can only be obtained through high quality well-designed studies.

Psychological Outcomes in Children and Early Adolescents With Type 1 Diabetes Following Pediatric Diabetes Summer Camp: A 3-Month Follow-Up Study

Objective: The aim of this study was to assess general psychosocial adjustment to diabetes and perceived disease management among patients with type 1 diabetes (T1D) and their parents before and after patients' participation in a diabetes summer camp. Methods: In this follow-up study, 20 children and adolescents with T1D (eight boys; mean age = 11.01 ± 0.94 years; mean diabetes duration = 3.02 ± 2.27) attending a southern Italian diabetic center, along with their parents, were assessed prior to and 3 months after the youths participated in a 1 week camp-based intervention involving didactic and interactive child-centered education and recreational activities. Patients and their parents completed measures assessing patients' quality of life and strategies employed by patients to cope with pain. Patients also completed measures evaluating their diabetes psychosocial adjustment, diabetes self-efficacy management, and illness perception; also, their parents completed measures of caregivers' perceived diabetes burden and treatment satisfaction. Youths' glycated hemoglobin (HbA1c) and standardized body mass index (z-BMI) values were also assessed. Within-subjects repeated-measures analyses of variance evaluated pre- and post-camp changes. Results: Camp attendance showed no beneficial effects on glycemic control, as indicated by HbA1c values both before (7.02%) and after (7.28%) camp being lower than 7.5%. HbA1c values were found to have increased after camp (pre-camp = 7.02%, post-camp = 7.28%; p = 0.010), but since they still fell within an acceptable range, they did not reveal clinically relevant changes in glycemic control. No substantial significant improvement in psychosocial measures was observed in children or parents (all p > 0.05). According to the parents' evaluation, social support-seeking as a patient pain-coping strategy was slightly increased (p = 0.044) after attending the camp. Conclusions: This study does not provide empirical evidence of benefits of participating in a diabetes camp for either patients or their parents. These findings suggest that healthcare providers rethink such camps as an experience for youths with T1D that actively involves parents and that includes both youth- and parent-focused psychological interventions.

13. Children and Adolescents: Standards of Medical Care in Diabetes-2021

The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc21-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc21-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Nutritional Status of Pediatric Patients with Type 1 Diabetes Mellitus from Northeast Poland: A Case-Control Study

INTRODUCTION

A significant increase in the incidence of overweight and obesity is observed among children and adolescents. This problem began to occur not only in healthy populations, but also among young diabetics. The aim of the study was to assess the nutritional status of children and adolescents with type 1 diabetes mellitus (T1DM) compared to those in a control group of healthy subjects as well as to determine the influence of the type of insulin therapy used.

METHODS

The case-control study included 169 people aged 9-15 years. The study group (n = 85) consisted of Polish children with T1DM, and the control group (n = 84) consisted of healthy subjects. The assessment of the nutritional status included anthropometric measurements. Analysis of body composition was carried out by bioelectrical impedance analysis. To assess nutritional behavior a questionnaire was used. Approval was obtained from the ethics committee of the Medical University of Białystok (no. R-I-002/168/2017).

RESULTS

Median body mass index (BMI) value in the T1DM group was 19.2 kg/m² and was statistically significantly (P < 0.05) higher than in the control group (17.8 kg/m²). Normal BMI was found in 90% of the individuals in the CSII group, while in the MDI group it was only 61%. The percentage of fat mass was 19.1% in the T1DM group and 17.6% in the healthy group. The percentage of muscle mass was 36.1% and 34.5%, respectively. The abdominal obesity according to waist circumference (above 90th percentile) turned out to be statistically significant (P < 0.01) and occurred more often in adolescents with T1DM (27%), while in the healthy group it was 12%.

CONCLUSIONS

The healthy individuals as well as the majority of the children and adolescents with type 1 diabetes mellitus were well nourished. People using personal insulin pumps showed better nutritional status than those using insulin pens.

Determinants of Cardiovascular Risk in 7000 Youth With Type 1 Diabetes in the Australasian Diabetes Data Network

CONTEXT

Cardiovascular disease occurs prematurely in type 1 diabetes. The additional risk of overweight is not well characterized.

OBJECTIVE

The primary aim was to measure the impact of body mass index (BMI) in youth with type 1 diabetes on cardiovascular risk factors. The secondary aim was to identify other determinants of cardiovascular risk.

DESIGN

Observational longitudinal study of 7061 youth with type 1 diabetes followed for median 7.3 (interquartile range [IQR] 4-11) years over 41 (IQR 29-56) visits until March 2019.

SETTING

15 tertiary care diabetes centers in the Australasian Diabetes Data Network.Participants were aged 2 to 25 years at baseline, with at least 2 measurements of BMI and blood pressure.

MAIN OUTCOME MEASURE

Standardized systolic and diastolic blood pressure scores and non-high-density lipoprotein (HDL) cholesterol were co-primary outcomes. Urinary albumin/creatinine ratio was the secondary outcome.

RESULTS

BMI z-score related independently to standardized blood pressure z- scores and non-HDL cholesterol. An increase in 1 BMI z-score related to an average increase in systolic/diastolic blood pressure of 3.8/1.4 mmHg and an increase in non-HDL cholesterol (coefficient + 0.16 mmol/L, 95% confidence interval [CI], 0.13-0.18; P < 0.001) and in low-density lipoprotein (LDL) cholesterol. Females had higher blood pressure z-scores, higher non-HDL and LDL cholesterol, and higher urinary albumin/creatinine than males. Indigenous youth had markedly higher urinary albumin/creatinine (coefficient + 2.15 mg/mmol, 95% CI, 1.27-3.03; P < 0.001) and higher non-HDL cholesterol than non-Indigenous youth. Continuous subcutaneous insulin infusion was associated independently with lower non-HDL cholesterol and lower urinary albumin/creatinine.

CONCLUSIONS

BMI had a modest independent effect on cardiovascular risk. Females and Indigenous Australians in particular had a more adverse risk profile.

The nephrological perspective on SGLT-2 inhibitors in type 1 diabetes

Prevalence of type 1 diabetes mellitus (T1DM) is globally continuously increasing. T1DM is accompanied by a high risk of developing cardiovascular and renal comorbidities and is one of the leading causes of end-stage renal disease (ESRD). However, current therapeutic approaches for chronic and/or diabetic kidney disease (CKD/DKD) existed for a long time, and offer room for improvement, particularly in T1DM. In 2019, the European Medicines Agency (EMA) approved a first sodium/glucose co-transporter 2 inhibitor (SGLT-2i) and a first dual SGLT-1/-2i to improve glycaemic control, as an adjunctive treatment to insulin in persons with T1DM and a body mass index ≥27 kg/m². Of note, SGLT-1/2is and SGLT-2is are not approved by the Food and Drug Administration (FDA) as an adjunct treatment in T1DM, nor approved for the treatment of CKD or DKD by EMA and FDA. SGLT is have shown to mediate different renoprotective effects in type 2 diabetes mellitus in corresponding cardiovascular and renal outcome trials. First efficacy trials offer insights into potential positive effects on renal function and kidney disease of SGLTis in T1DM. This review summarizes and discusses latest available data on SGLT inhibition and provides an update on the nephrological perspective on SGLTis, specifically in T1DM.

Hyperbaric Oxygen Therapy and Vascular Complications in Diabetes Mellitus

Vascular complications in patients with diabetes mellitus (DM) are common. Since impaired oxygen balance in plasma plays an important role in the pathogenesis of chronic DM-associated complications, the administration of hyperbaric oxygen therapy (HBOT) has been recommended to influence development of vascular complications. Hyperbaric oxygen therapy involves inhalation of 100% oxygen under elevated pressure from 1.6 to 2.8 absolute atmospheres in hyperbaric chambers. Hyperbaric oxygen therapy increases plasma oxygen solubility, contributing to better oxygen diffusion to distant tissues and preservation of the viability of tissues reversibly damaged by atherosclerosis-induced ischemia, along with microcirculation restoration. Hyperbaric oxygen therapy exerts antiatherogenic, antioxidant, and cardioprotective effects by altering the level and composition of plasma fatty acids and also by promoting signal transduction through membranes, which are impaired by hyperglycemia and hypoxia. In addition, HBOT affects molecules involved in the regulation of nitric oxide synthesis and in that way exerts anti-inflammatory and angiogenic effects in patients with DM. In this review, we explore the recent literature related to the effects of HBOT on DM-related vascular complications.

Effects of advanced carbohydrate counting on glucose control and quality of life in children with type 1 diabetes

OBJECTIVE

The effect of advanced carbohydrate counting (ACC) on metabolic and quality of life (QOL) outcomes is uncertain in children with type 1 diabetes. Our aim was to determine whether ACC would improve HbA1c and QOL scores as compared with standard nutrition in this population.

METHODS

We randomized 87 patients using pump and rapid-acting analogs in a 1 year randomized multicenter study (age 9.6 ± 3.5 years, diabetes duration 4.6 ± 2.7 years, HbA1c 7.8 ± 0.5% [62 ± 5 mmol/mol]). The ACC group received CC education and the control group received traditional dietary education. HbA1c was measured every 3 months. At 0 and 1 year, general, diabetes-specific, and diet-related QOL were respectively assessed by the KIDSCREEN and WHO-5 questionnaires, the diabetes-specific module of the DISABKIDS, and the diet restriction items of the DSQOLS.

RESULTS

Mean HbA1c was lower in the ACC than the control group at 3 months (P < .05) and tended to be lower at 6 months (P = .10), 9 months (P = .10), but not at 12 months. The mean of individual average HbA1c during the one-year study period (from M3 to M12) was 7.63 ± 0.43 in the ACC vs 7.85 ± 0.47% in the control group (60 ± 5 vs 62 ± 5 mmol/mol)(P < .05). ACC was associated with significantly higher scores at 1 year on the KIDSCREEN children's psychological scale and the KIDSCREEN parents' physical scale, the DISABKIDS children's treatment scale, and the children's and parents' dietary restriction scales of the DSQOLS (indicating better QOL or lower perceived diet restriction).

CONCLUSIONS

ACC may be associated with small improvements in metabolic control and QOL scores in children.

Current status of metformin in addition to insulin therapy in adult patients with type 1 diabetes mellitus: An analysis from the Guangdong Type 1 Diabetes Mellitus Translational Medicine Study

BACKGROUND

Limited data on the efficacy of the additional metformin therapy in patients with type 1 diabetes mellitus (T1DM) under real-life conditions have been available so far.

METHODS

Patients aged ≥18 years with a duration of T1DM for at least 1 year were included in this multicenter observational study. Patients with insulin combined with metformin therapy (MET group) were compared with those with insulin therapy only (INS group).

RESULTS

A total of 76 patients in the MET group were compared with 655 patients in the INS group. At baseline, patients with dyslipidemia were more prevalent in the MET group (17.6% vs 9.0%; P = .006), and they also had a higher body mass index (BMI) (21.7 ± 3.2 kg/m² vs 20.4 ± 2.6 kg/m² ; P < .001) than those in the INS group. But glycosylated hemoglobin (HbA1c) and daily insulin dose were not significantly different between the two groups. After 1-year follow-up, HbA1c decreased in both groups, while the daily insulin dose decreased in the MET group, but did not change in the INS group (-0.02 IU/kg [-0.16, 0.09] vs 0 IU/kg [-0.09, 0.09]; P = .029). The additional metformin therapy led to no change of BMI and weight in the MET group, while the body weight increased from 53.7 ± 8.6 kg to 55.0 ± 7.9 kg in the INS group (P < .001).

CONCLUSIONS

Metformin is initiated more in T1DM patients with dyslipidemia or higher BMI in current practice in China. The addition of metformin is effective in maintaining weight and reducing the insulin dosage without improving glycemic control in patients with T1DM.

Country-Specific Prevalence and Incidence of Youth-Onset Type 2 Diabetes: A Narrative Literature Review

BACKGROUND

With increased awareness of type 2 diabetes (T2D) in children and adolescents, an overview of country-specific differences in epidemiology data is needed to develop a global picture of the disease development.

SUMMARY

This study examined country-specific prevalence and incidence data of youth-onset T2D published between 2008 and 2019, and searched for national guidelines to expand the understanding of country-specific similarities and differences. Of the 1,190 articles and 17 congress abstracts identified, 58 were included in this review. Our search found the highest reported prevalence rates of youth-onset T2D in China (520 cases/100,000 people) and the USA (212 cases/100,000) and lowest in Denmark (0.6 cases/100,000) and Ireland (1.2 cases/100,000). However, the highest incidence rates were reported in Taiwan (63 cases/100,000) and the UK (33.2 cases/100,000), with the lowest in Fiji (0.43 cases/100,000) and Austria (0.6 cases/100,000). These differences in epidemiology data may be partly explained by variations in the diagnostic criteria used within studies, screening recommendations within national guidelines and race/ethnicity within countries. Key Messages: Our study suggests that published country-specific epidemiology data for youth-onset T2D are varied and scant, and often with reporting inconsistencies. Finding optimal diagnostic criteria and screening strategies for this disease should be of high interest to every country.

TRIAL REGISTRATION

Not applicable.

Undertreatment of cardiovascular risk factors in the type 1 diabetes exchange clinic network (United States) and the prospective diabetes follow-up (Germany/Austria) registries

AIM

To examine the control of cardiovascular risk factors in type 1 diabetes (T1D) registries from the United States and Germany/Austria.

MATERIALS AND METHODS

Data on individuals aged ≥12 years with T1D for ≥1 year, from the T1D Exchange Clinic Network (T1DX, United States) and the Prospective Diabetes Follow-up Registry (DPV, Germany/Austria) from 1 January 2016 to 31 March 2018 were analysed. Linear and logistic regression models adjusted for age groups, sex, duration of diabetes and minority status were used to compare clinical characteristics and achievement of diabetes management targets between registries.

RESULTS

The cohort consisted of 47 936 patients (T1DX, n = 19 442; DPV, n = 28 494). Achievement of HbA1c goals (<7.0%, ages 18-65 years; all others, <7.5%) was better in the DPV for those aged <65 years (all P < .001). However, more older adults (aged ≥65 years) in the T1DX achieved an HbA1c goal of <7.5% compared with DPV (70% vs. 50%, P < .001). The frequency of patients with overweight (53% vs. 51%, P < .001) and obesity (19% vs. 9%, P < .001) was higher in T1DX. The frequency of meeting blood pressure goals (84% vs. 66%, P < .001) and lipid goals (73% vs. 62%, P < .001) was higher in T1DX; this was observed across all age groups (all P < .001). Few young adults aged <26 years received antihypertensive and lipid-lowering medications, respectively, despite indications in both registries (T1DX: 5% and 3%, DPV: 3% and 1%).

CONCLUSION

A minority of patients with T1D achieve glycaemic targets and the majority are inadequately treated for hypertension and dyslipidaemia. This highlights the need for improved diabetes and cardiovascular risk management strategies in T1D.

Pharmacological therapies to address obesity in type 1 diabetes

PURPOSE OF REVIEW

Obesity is increasing in prevalence among patients with type 1 diabetes (T1D) and is associated with insulin resistance and increased cardiovascular risk. The management of obesity in this population is complicated by defects in pancreatic islet hormone secretion and the effects of exogenous insulin treatment. Here, we review the effects of antiobesity medications and adjunct-to-insulin medications on body weight in T1D.

RECENT FINDINGS

There is a profound evidence gap around the use of drugs for the treatment of obesity in T1D since systematic studies have not been performed in this population. Adjunctive-to-insulin therapy with certain antihyperglycemic agents leads to modest weight loss and reductions in insulin dose in T1D. However, only pramlintide has been approved in the United States for clinical use as adjunctive therapy in T1D.

SUMMARY

The growing prevalence of obesity in T1D has created an unmet need for safe and effective therapies to treat overweight and obesity in this population. Currently, antiobesity medications are used off-label for the treatment of patients with T1D. Additional studies are needed to understand the role of these medications in the management of obesity in patients with T1D.

Impact of obesity on the increasing incidence of type 1 diabetes

Published estimates of the incidence of type 1 diabetes (T1D) in children in the last decade varies between 2% and 4% per annum. If this trend continued, the disease incidence would double in the next 20 years. The risk of developing T1D is determined by a complex interaction between multiple genes (mainly human leukocyte antigens) and environmental factors. Notwithstanding that genetic susceptibility represents a relevant element in T1D risk, genetics alone cannot explain the increase in incidence. Various environmental factors have been suggested as potential triggers for T1D, including several viruses and the hygiene hypothesis; however, none of these seems to explain the large increase in T1D incidence observed over the last decades. Several studies have demonstrated that the prevalence of childhood/adolescence overweight and obesity has risen during the past 30 years in T1D. Currently, at diagnosis, the majority of patients with T1D have normal or elevated body weight and ~50% of patients with longstanding T1D are either overweight or obese. The growing prevalence of obesity in childhood and adolescence offers a plausible explanation for the increase in T1D incidence observed in recent decades. Possible mechanisms of the enhancement of β-cell autoimmunity by obesity include: a) insulin resistance-induced β-cell secretory demand triggering autoimmunity through cytokine release, neo-epitope antigen formation and increase in β-cell apoptosis, and b) obesity-induced low-grade inflammation with pro-inflammatory cytokines secreted by locally infiltrating macrophages, which contribute to the presentation by islet cells of autoantigens generally not accessible to T cells. Further studies are needed to clarify whether the control of body weight can prevent or delay the current and continuing rise in T1D incidence.

Periodontal conditions, retinopathy, and serum markers in individuals with type 1 diabetes

BACKGROUND

The prevalence of diabetes is high and increasing. Periodontitis has been identified as a risk factor in both type 1 and 2 diabetes. The study purpose was to assess periodontal conditions, retinopathy, and serum glutamic acid decarboxylase antibody (GADA) titers in relation to retinopathy in individuals with type 1 diabetes (T1D).

METHODS

The study is a case series. Adult individuals with a diagnosis of T1D (n = 85) monitored ≥5 years were recruited from an endocrinology clinic. Peripheral venous blood samples were analyzed including assessments of serum HbA1c levels and GADA titers. Medical and periodontal conditions were examined, and the data assessed. Independent t tests, binary and multivariate analyses, χ² and odds ratios were employed.

RESULTS

Gingivitis was found in 68.2%, periodontitis in 21.2%, and retinopathy in 64.7%, GADA (≥35 U/mL) in 54.1%, and serum HbA1c > 48 mmol/mol in 94.3% of the individuals. The unadjusted odds ratio for periodontitis to differentiate a diagnosis of retinopathy was 7.3 (95%CI 1.6, 4.4, P <0.01). Multivariate analyses identified the following dependent factors to differentiate retinopathy; age, T1D duration, gingivitis, periodontitis at P < 0.001, sex, and serum GADA at P < 0.01, and by the number of remaining teeth at P < 0.05.

CONCLUSION

Retinopathy as a complication to T1D is linked to the duration of diabetes, age of the individual and with increasing severity to periodontitis. Periodontal intervention studies are warranted.

2017 American Academy of Pediatrics Clinical Practice Guideline: Impact on Prevalence of Arterial Hypertension in Children and Adolescents With Type 1 Diabetes

OBJECTIVE

In 2017, the American Academy of Pediatrics introduced a new guideline (2017 Clinical Practice Guideline of the American Academy of Pediatrics [AAP 2017]) to diagnose arterial hypertension (HTN) in children that included revised, lower normative blood pressure (BP) values and cut points for diagnosing high BP in adolescents. We studied the impact of the new AAP 2017 on prevalence of HTN in children with type 1 diabetes mellitus (T1DM).

RESEARCH DESIGN AND METHODS

Up to September 2018, 1.4 million office BP measurements in 79,849 children and adolescents (aged 5-20 years) with T1DM were documented in the DPV (Diabetes Prospective Follow-up) registry. BP values of the most recent year were aggregated, and BP values of 74,677 patients without antihypertensive medication were analyzed (median age 16 years and diabetes duration 5.3 years, 52.8% boys). BP values were classified according to AAP 2017 and the references of the German Health Interview and Examination Survey for Children and Adolescents (KiGGS) (2011) and the Fourth Report on the Diagnosis, Evaluation, and Treatment of High Blood Pressure in Children and Adolescents (fourth report) (2004).

RESULTS

Of the patients, 44.1%, 29.5%, and 26.5% were hypertensive according to AAP 2017, KiGGS, and fourth report, respectively. Differences in prevalence of HTN were strongly age dependent: <10 years, AAP 2017 31.4%, KiGGS 30.7%, fourth report 19.6%; 10 to <15 years, AAP 2017 30.9%, KiGGS 31.2%, fourth report 22.4%; and ≥15 years, AAP 2017 53.2%, KiGGS 28.4%, fourth report 30.0%. Among teenagers ≥15 years, 59.1% of boys and only 46.3% of girls were classified as hypertensive by AAP 2017 but only 21.1%/26% of boys and 36.7%/34.4% of girls by KiGGS/fourth report, respectively.

CONCLUSIONS

Classification of BP as hypertension depends strongly on the normative data used. Use of AAP 2017 results in a significant increase in HTN in teenagers ≥15 years with T1DM, particularly in boys. AAP 2017 enhances the awareness of elevated BP in children, particularly in patients with increased risk for cardiovascular disease.

Body fat composition and miR-378 expression profiling in patients with type 1 diabetes

PURPOSE

Type 1 diabetes (T1D) is an autoimmune disease that involves genetic, epigenetic, and environmental factors. Change in body composition is a potential mechanism for explaining the increased incidence of T1D. Micro RNA-378 (miRNA-378) is a positive regulator of adipogenesis that has yet to be studied in such patients. This study aims to evaluate the miRNA-378 expression profile in peripheral mononuclear cells of T1D patients and controls and to determine its possible association with levels of body fat, interleukin-6 (IL-6), and tumor necrosis factor alpha (TNF-α).

METHODS

Twenty-four T1D subjects and 20 controls under 18 years of age without autoimmune diseases were studied. miRNA-378 expression profile was determined by TaqMan probes. Body composition was determined by multifrequency bioimpedance. IL-6 and TNF-α serum levels were determined by LUMINEX. AntiGAD65, anti-IA2, and anti-ZnT8 antibodies were quantified in serum by enzyme immunoassays. Statistical significance was considered P&lt;0.05.

RESULTS

Similar body mass index and body fat (kg) were observed between the T1D and control subjects (P=0.55 and P=0.69, respectively). The miRNA-378 expression profile was significantly higher in T1D patients compared with the controls (P&lt;0.05). Lower miRNA-378 expression in prepubertal controls was observed compared to pubertal controls, prepubertal T1D, and pubertal T1D (P&lt;0.05). AntiGAD65, AntilA2, and AntiZnT8 were positively correlated with miRNA-378 (P=0.002, P=0.053, and P=0.007). No statistically significant correlation was observed between miRNA-378 expression and IL-6, TNF-α, or body fat.

CONCLUSION

Elevated miRNA-378 expression in T1D patients compared with controls is linked to pubertal stage but is not associated with proinflammatory status or body composition.

The changing face of paediatric diabetes

The purpose of this review is to provide an update on the changing face of paediatric type 1 diabetes and type 2 diabetes. Paediatric diabetes is on the rise, with extensive research dedicated to understanding its pathophysiology, comorbidities and complications. As obesity continues to increase among all youth, differentiating between type 1 diabetes and type 2 diabetes has become increasingly difficult but remains important for optimising treatment, anticipating complications and predicting disease risk. Novel treatments are emerging, with the ultimate goal being to achieve glycaemic control, limit weight gain, improve quality of life and reduce comorbidities. In this review, we focus on updates regarding the epidemiology, clinical presentation, comorbidities and complications of paediatric type 1 diabetes and type 2 diabetes and conclude with current and emerging treatments.

Ambulatory blood pressure and carotid intima media thickness in children with type 1 diabetes

BACKGROUND/OBJECTIVE

Blood pressure abnormalities may play an important role in macrovascular damage in type 1 diabetes. Little is known about blood pressure abnormalities and macrovascular damage in children with type 1 diabetes.

METHODS

Children with type 1 diabetes (n = 57) for a short (3 months-2 years; n = 24) or long duration (≥5 years; n = 33) and a group of control children without diabetes (n = 29) completed 24-h ambulatory blood pressure monitoring (ABPM). Carotid intima media thickness (cIMT), a subclinical indicator of atherosclerosis, was assessed by carotid ultrasound.

RESULTS

ABPM abnormalities were more prevalent (57% vs 24%, respectively), and daytime, nighttime and 24-h systolic, diastolic, and mean arterial blood pressure indices were higher in children with type 1 diabetes compared to control children. The odds estimate of an ABPM abnormality was 6.68 (95% confidence interval: 1.95, 22.9; P = .003) in children with type 1 diabetes compared to controls after adjusting for age, sex, and BMI standardized for age and sex (zBMI). An interaction between ABPM and zBMI on cIMT was observed. In children with type 1 diabetes and ABPM abnormalities, every 1 SD increase in zBMI was associated with a 0.030 mm increase in cIMT (95% confidence interval: 0.002, 0.041; P = .031). This was not observed in control children with ABPM abnormalities or in children with normal ABPM, regardless of type 1 diabetes status.

CONCLUSIONS

Children with type 1 diabetes have a high prevalence of ABPM abnormalities independent of disease duration and this is related to early indicators of cardiovascular damage.

Longitudinal trajectories of BMI z-score: an international comparison of 11,513 Australian, American and German/Austrian/Luxembourgian youth with type 1 diabetes

BACKGROUND

BMI fluctuations during puberty are common. Data on individual change in BMI from childhood to young adulthood are limited in youth with type 1 diabetes.

OBJECTIVES

To compare longitudinal trajectories of body mass index z score (BMIz) from childhood to adolescence across three registries spanning five countries.

METHODS

Data sources: T1DX (USA), DPV (Germany/Austria/Luxembourg) and ADDN (Australia). The analysis included 11,513 youth with type 1 diabetes, duration >1 year, at least one BMI measure at baseline (age 8-10 years) and >5 aggregated BMI measures by year of age during follow-up until age 17 years. BMIz was calculated based on WHO charts. Latent class growth modelling was used to identify subgroups following a similar trajectory of BMIz over time.

RESULTS

Five distinct trajectories of BMIz were present in the T1DX and ADDN cohorts, while six trajectories were identified in the DPV cohort. Boys followed more often a low/near-normal pattern while elevated BMIz curves were more likely in girls (ADDN; DPV). For T1DX cohort, no sex differences were observed. Comparing the reference group (BMIz ~0) with the other groups during puberty, higher BMIz was significantly associated with older age at T1D onset, racial/ethnic minority and elevated HbA1c (all p<0.05).

CONCLUSION

This multinational study presents unique BMIz trajectories in youth with T1D across three continents. The prevalence of overweight and the longitudinal persistence of overweight support the need for close monitoring of weight and nutrition in this population. The international and individual differences likely result from diverse genetic, environmental and therapeutic factors.

Temporal trends in incidence of pediatric type 1 diabetes in Alabama: 2000-2017

OBJECTIVE

The incidence of type 1 diabetes has increased in the United States and worldwide. We hypothesized that trends in the annual incidence rates of childhood-onset type 1 diabetes in the state of Alabama would be different by race and sex.

METHODS

We performed a retrospective observational cohort study, analyzing children with type 1 diabetes (n = 3770) managed at the Children's Hospital of Alabama between 2000 and 2017. We compared crude incidence rates using negative binomial regression models and analyzed differences in annual trends of age-adjusted incidence by race and sex using joinpoint regression.

RESULTS

The crude type 1 diabetes incidence rate was estimated at 16.7 per 100 000 children <19 years of age in Alabama. Between 2000 and 2007, there was an increase in age-adjusted incidence of type 1 diabetes with an annual percent change (APC) of 10% from 2000 to 2007 and a 1.7% APC decrease from 2007 to 2017. The age-adjusted incidence for Whites and Blacks increased with an average annual percentage change (AAPC) of 4.4% and 2.8%, respectively. A nearly 11% increasing trend in age-adjusted incidence was observed for both races, though the increase plateaued in 2006 for Whites and 2010 for Blacks.

CONCLUSIONS

Following significantly increasing annual trends for both races, the age-adjusted rate remained statistically stable for Whites and decreased significantly for Blacks. Longer-sustained trend increases for Blacks resulted in type 1 diabetes incidence tripling compared to the doubling of the rate for Whites.

Vascular Complication in Adolescents With Diabetes Mellitus

Diabetes mellitus is becoming more prevalent and even with new advancements which improve glycaemic control, complications of diabetes are common. Vascular complications of diabetes include the microvascular complications: retinopathy, nephropathy, and peripheral and autonomic neuropathy. Macrovascular complications are also common in patients with diabetes and arguably more concerning as they confer a high mortality risk yet are sometimes under-treated. Risk factors for diabetes complications start to occur in childhood and adolescents and some youths may be diagnosed with complications before transition to adult care. This article discusses the prevalence, risk factors, screening, and treatment recommendations for vascular complications in children and adolescents with diabetes.

Characterizing the weight-glycemia phenotypes of type 1 diabetes in youth and young adulthood

INTRODUCTION

Individuals with type 1 diabetes (T1D) present with diverse body weight status and degrees of glycemic control, which may warrant different treatment approaches. We sought to identify subgroups sharing phenotypes based on both weight and glycemia and compare characteristics across subgroups.

RESEARCH DESIGN AND METHODS

Participants with T1D in the SEARCH study cohort (n=1817, 6.0-30.4 years) were seen at a follow-up visit >5 years after diagnosis. Hierarchical agglomerative clustering was used to group participants based on five measures summarizing the joint distribution of body mass index z-score (BMIz) and hemoglobin A1c (HbA1c) which were estimated by reinforcement learning tree predictions from 28 covariates. Interpretation of cluster weight status and glycemic control was based on mean BMIz and HbA1c, respectively.

RESULTS

The sample was 49.5% female and 55.5% non-Hispanic white (NHW); mean±SD age=17.6±4.5 years, T1D duration=7.8±1.9 years, BMIz=0.61±0.94, and HbA1c=76±21 mmol/mol (9.1±1.9)%. Six weight-glycemia clusters were identified, including four normal weight, one overweight, and one subgroup with obesity. No cluster had a mean HbA1c <58 mmol/mol (7.5%). Cluster 1 (34.0%) was normal weight with the lowest HbA1c and comprised 85% NHW participants with the highest socioeconomic position, insulin pump use, dietary quality, and physical activity. Subgroups with very poor glycemic control (ie, ≥108 mmol/mol (≥12.0%); cluster 4, 4.4%, and cluster 5, 7.5%) and obesity (cluster 6, 15.4%) had a lower proportion of NHW youth, lower socioeconomic position, and reported decreased pump use and poorer health behaviors (overall p<0.01). The overweight subgroup with very poor glycemic control (cluster 5) showed the highest lipids and blood pressure (p<0.01).

CONCLUSIONS

There are distinct subgroups of youth and young adults with T1D that share weight-glycemia phenotypes. Subgroups may benefit from tailored interventions addressing differences in clinical care, health behaviors, and underlying health inequity.

Longitudinal Phenotypes of Type 1 Diabetes in Youth Based on Weight and Glycemia and Their Association With Complications

CONTEXT

Subclinical and clinical complications emerge early in type 1 diabetes (T1D) and may be associated with obesity and hyperglycemia.

OBJECTIVE

Test how longitudinal "weight-glycemia" phenotypes increase susceptibility to different patterns of early/subclinical complications among youth with T1D.

DESIGN

SEARCH for Diabetes in Youth observational study.

SETTING

Population-based cohort.

PARTICIPANTS

Youth with T1D (n = 570) diagnosed 2002 to 2006 or 2008.

MAIN OUTCOME MEASURES

Participants were clustered based on longitudinal body mass index z score and HbA1c from a baseline visit and 5+ year follow-up visit (mean diabetes duration: 1.4 ± 0.4 years and 8.2 ± 1.9 years, respectively). Logistic regression modeling tested cluster associations with seven early/subclinical diabetes complications at follow-up, adjusting for sex, race/ethnicity, age, and duration.

RESULTS

Four longitudinal weight-glycemia clusters were identified: The Referent Cluster (n = 195, 34.3%), the Hyperglycemia Only Cluster (n = 53, 9.3%), the Elevated Weight Only Cluster (n = 206, 36.1%), and the Elevated Weight With Increasing Hyperglycemia (EWH) Cluster (n = 115, 20.2%). Compared with the Referent Cluster, the Hyperglycemia Only Cluster had elevated odds of dyslipidemia [adjusted odds ratio (aOR) 2.22, 95% CI: 1.15 to 4.29], retinopathy (aOR 9.98, 95% CI: 2.49 to 40.0), and diabetic kidney disease (DKD) (aOR 4.16, 95% CI: 1.37 to 12.62). The EWH Cluster had elevated odds of hypertension (aOR 2.18, 95% CI: 1.19 to 4.00), dyslipidemia (aOR 2.36, 95% CI: 1.41 to 3.95), arterial stiffness (aOR 2.46, 95% CI: 1.09 to 5.53), retinopathy (aOR 5.11, 95% CI: 1.34 to 19.46), and DKD (aOR 3.43, 95% CI: 1.29 to 9.11).

CONCLUSIONS

Weight-glycemia phenotypes show different patterns of complications, particularly markers of subclinical macrovascular disease, even in the first decade of T1D.

Proportion of Basal to Total Insulin Dose Is Associated with Metabolic Control, Body Mass Index, and Treatment Modality in Children with Type 1 Diabetes-A Cross-Sectional Study with Data from the International SWEET Registry

OBJECTIVES

To investigate in a large population the proportion of daily basal insulin dose (BD) to daily total insulin dose (TD) (BD/TD) and its association with glycated hemoglobin A1c (HbA1c), body mass index (BMI)- SDS, and treatment modality in children with type 1 diabetes.

STUDY DESIGN

Cross-sectional study in subjects with type 1 diabetes, age ≤18 years, and ≥2 years of diabetes duration, registered in the international multicenter Better control in Pediatric and Adolescent diabeteS: Working to crEate CEnTers of Reference registry in March 2018. Variables included region, sex, age, diabetes duration, treatment modality (multiple daily injections [MDI] or continuous subcutaneous insulin infusion [CSII]), self-monitoring blood glucose, HbA1c, BD/TD, and BMI-SDS. BMI was converted to BMI-SDS using World Health Organization charts as reference. Hierarchic linear regression models were applied with adjustment for age, sex, and diabetes duration.

RESULTS

A total of 19 687 children with type 1 diabetes (49% female, 49% CSII users) with median age 14.8 (11.5; 17.2) years and diabetes duration 6.0 (3.9; 9.0) years were included. HbA1c was 63 (55; 74) mmol/mol (7.9 [7.2; 8.9]%), and BMI-SDS 0.55 (-0.13; 1.21). Unadjusted, a lower BD/TD was associated with lower HbA1c, male sex, younger age, shorter diabetes duration, lower BMI-SDS, higher numbers of self-monitoring blood glucose and CSII (all P < .01). After adjustment for confounders, lower BD/TD was associated with lower HbA1c (P < .01) and lower BMI-SDS (P < .01) in children on CSII, but not on MDI.

CONCLUSIONS

Lower BD/TD is positively associated with lower HbA1c and lower BMI-SDS in children with type 1 diabetes on CSII. It remains to be investigated in a prospective study whether reducing BD/TD insulin will improve metabolic control and normalize body weight in children with type 1 diabetes.

Double diabetes: A distinct high-risk group?

The term double diabetes (DD) has been used to refer to individuals with type 1 diabetes (T1D) who are overweight, have a family history of type 2 diabetes and/or clinical features of insulin resistance. Several pieces of evidence indicate that individuals who display features of DD are at higher risk of developing future diabetes complications, independently of average glucose control, measured as glycated haemoglobin (HbA1c) concentration. Given the increased prevalence of individuals with features of DD, pragmatic criteria are urgently required to identify and stratify this group, which will help with subsequent implementation of more effective personalized interventions. In this review, we discuss the potential criteria for the clinical identification of individuals with DD, highlighting the strengths and weaknesses of each definition. We also cover potential mechanisms of DD and how these contribute to increased risk of diabetes complications. Special emphasis is placed on the role of estimated glucose disposal rate (eGDR) in the diagnosis of DD, which can be easily incorporated into clinical practice and is predictive of adverse clinical outcome. In addition to the identification of individuals with DD, eGDR has potential utility in monitoring response to different interventions. T1D is a more heterogeneous condition than initially envisaged, and those with features of DD represent a subgroup at higher risk of complications. Pragmatic criteria for the diagnosis of individuals with DD will help with risk stratification, allowing a more personalized and targeted management strategy to improve outcome and quality of life in this population.

Young children, adolescent girls and women with type 1 diabetes are more overweight and obese than reference populations, and this is associated with increased cardiovascular risk factors

AIM

Overweight and obesity are frequently reported in young persons with type 1 diabetes, however its relative magnitude in comparison to the general population is not well understood. This study compared the prevalence of overweight and obesity in young persons with type 1 diabetes to a reference population and explored possible associated factors, including gender, age, HbA_1c , insulin regimen, age at diagnosis, diabetes duration, socio-economic status and cardiovascular disease risk factors.

METHODS

A cross-sectional review was undertaken of data collected from youth (3-17 years) in 2016 and young adults (18-30 years) in 2015 with a diagnosis of type 1 diabetes for > 3 months attending diabetes centres in Newcastle, Australia. Rates of overweight and obesity were compared with matched population survey results.

RESULTS

Data from 308 youth and 283 young adults were included. In girls, significantly higher prevalence of overweight and obesity were seen in the 5-8 (43% vs. 18%), 13-16 (41% vs. 27%), 18-24 (46% vs. 34%) and 25-30 (60% vs. 43%) years age groups; whereas in boys increased prevalence was observed in the 5-8 years age group only (41% vs. 18%). Rates of overweight and obesity increased with age across sexes. In youth, BMI standard deviation score was correlated with socio-economic status, insulin regimen, blood pressure and blood lipids (P < 0.05). In adults, BMI was positively associated with blood pressure, and longer diabetes duration (P < 0.02).

CONCLUSIONS

Overweight and obesity are over-represented in young persons with type 1 diabetes, particularly girls. As overweight is associated with other cardiovascular disease markers early intervention is paramount.

Long-term body weight trajectories and metabolic control in type 1 diabetes patients on insulin pump or multiple daily injections: A 10-year retrospective controlled study

BACKGROUND AND AIMS

Overweight/obesity is a clinical concern also in patients with Type 1 diabetes (T1DM). These patients' body weight may vary depending on whether treatment consists in continuous subcutaneous insulin infusion (CSII) or multiple daily injections (MDI), as these treatments lead to different blood glucose control, insulin doses, and eating behaviors. We compared long-term body weight trajectories in persons with diabetes on CSII or MDI regimens.

METHODS AND RESULTS

Annual changes in body weight, HbA1c, and daily insulin doses over 6-10 years were retrospectively analyzed in T1DM adult patients on CSII (n = 90) or MDI (n = 90), strictly matched for sex, age, BMI, and diabetes duration. Mean follow-up was 9.1 ± 1.4 years. Body weight increased linearly (∼0.5 kg per year) throughout the observation period (p = 0.001, repeated measures ANOVA) with no significant difference between the CSII and MDI cohorts (p = 0.74), in either normal-weight or overweight/obese patients. HbA1c over follow-up was lower with CSII than with MDI (p = 0.037), maintaining the initial reduction after starting pump therapy. Insulin doses over follow-up were stably lower than baseline (∼20%) with CSII, while linearly increasing (∼20% from baseline to the end of observation) with MDI (p = 0.002). Mean annual weight changes correlated directly with total insulin dose changes (r = 0.191; p = 0.011) and baseline HbA1c level (r = 0.267; p = 0.001), and inversely with HbA1c changes (-0.173; p = 0.021) and baseline age (r = -0.254; p = 0.001).

CONCLUSION

T1DM patients on CSII or MDI showed comparable body weight gain over a 10-year follow-up, despite improved glycemic control and decreased insulin doses with CSII.

Low-Calorie Sweetened Beverages and Cardiometabolic Health: A Science Advisory From the American Heart Association

In the United States, 32% of beverages consumed by adults and 19% of beverages consumed by children in 2007 to 2010 contained low-calorie sweeteners (LCSs). Among all foods and beverages containing LCSs, beverages represent the largest proportion of LCS consumption worldwide. The term LCS includes the 6 high-intensity sweeteners currently approved by the US Food and Drug Administration and 2 additional high-intensity sweeteners for which the US Food and Drug Administration has issued no objection letters. Because of a lack of data on specific LCSs, this advisory does not distinguish among these LCSs. Furthermore, the advisory does not address foods sweetened with LCSs. This advisory reviews evidence from observational studies and clinical trials assessing the cardiometabolic outcomes of LCS beverages. It summarizes the positions of government agencies and other health organizations on LCS beverages and identifies research needs on the effects of LCS beverages on energy balance and cardiometabolic health. The use of LCS beverages may be an effective strategy to help control energy intake and promote weight loss. Nonetheless, there is a dearth of evidence on the potential adverse effects of LCS beverages relative to potential benefits. On the basis of the available evidence, the writing group concluded that, at this time, it is prudent to advise against prolonged consumption of LCS beverages by children. (Although water is the optimal beverage choice, children with diabetes mellitus who consume a balanced diet and closely monitor their blood glucose may be able to prevent excessive glucose excursions by substituting LCS beverages for sugar-sweetened beverages [SSBs] when needed.) For adults who are habitually high consumers of SSBs, the writing group concluded that LCS beverages may be a useful replacement strategy to reduce intake of SSBs. This approach may be particularly helpful for persons who are habituated to a sweet-tasting beverage and for whom water, at least initially, is an undesirable option. Encouragingly, self-reported consumption of both SSBs and LCS beverages has been declining in the United States, suggesting that it is feasible to reduce SSB intake without necessarily substituting LCS beverages for SSBs. Thus, the use of other alternatives to SSBs, with a focus on water (plain, carbonated, and unsweetened flavored), should be encouraged.

Trajectories of hemoglobin A1c and body mass index z-score over four decades among 2 to 18 year olds with type 1 diabetes

OBJECTIVES

To determine trajectories of glycemic control and body mass index (BMI) z-score in a large pediatric sample with type 1 diabetes (T1D) over a 38-year period, and to evaluate sex differences and temporal changes in the prevalence of these trajectories.

METHODS

We conducted a longitudinal, retrospective study of 7002 2 to 18 year olds with T1D followed between 1978 and 2016 at a single center. Group-based modeling was used to identify trajectories for hemoglobin A1c (HbA1c) and BMI z-score. Multinomial logistic regression identified predictors of membership to less favorable glycemic trajectories.

RESULTS

Group-based modeling yielded 5 HbA1c trajectories. A total of 86% of the sample fell within 3 trajectories that were largely stable across childhood and adolescence, and 14% fell within 2 trajectories characterized by marked deterioration beginning in pre-adolescence. Girls were more likely to be in the HbA1c trajectory with the highest starting HbA1c and significant deterioration during adolescence, and in the highest two BMI z-score trajectories. Patients with non-white race had the highest odds of belonging to a less favorable HbA1c trajectory. Prevalence of the high stable HbA1c trajectory decreased and prevalence of the low stable HbA1c trajectory increased over the study period.

CONCLUSIONS

A minority of youth with T1D experienced deterioration of glycemic control during adolescence. Girls were more likely to belong to the worst HbA1c trajectory and to BMI z-score trajectories in the overweight/obese range, which may increase cardiometabolic risk. Addressing racial/ethnic disparities in glycemic control should remain a priority. Advances in T1D management correlated with favorable shifts in HbA1c trajectory prevalence.

Predictor factors of glycemic control in children and adolescents with type 1 diabetes mellitus treated at a referral service in Rio de Janeiro, Brazil

AIM

To evaluate the predictive factors of glycemic control in children and adolescents with type 1 diabetes mellitus (T1DM).

METHODS

Cross-sectional study at a referral service in Rio de Janeiro, Brazil. Sociodemographic, anthropometric, clinical, and dietary factors were evaluated. Food consumption was evaluated by 24 h dietary recall and the NOVA system was adopted for classifying the foods according to the extent and purpose of industrial processing. The predictive factors were evaluated by multivariate linear regression, adopting p < 0.05.

RESULTS

One hundred and twenty children and adolescents participated, with a mean age of 11.74 years (±2.88) and HbA1c of 8.13% (±1.26). The mean diabetes duration was 6.68 years (±3.33) and the insulin used was 1.05 units per kilogram of ideal weight (IU/kg of ideal weight; ±0.46) About 80% (n = 96) used carbohydrate counting and it was verified that 24.27% (±17.89) of the participants' total calories came from ultraprocessed foods. For each year of diagnosis with T1DM and for each IU/kg of weight used, HbA1c increased by 0.087% (β = 0.087, p = 0.007) and 0.651%, respectively (β = 0.651; p = <0.001). Use of carbohydrate counting was associated with a 1.058% reduction in HbA1c (β = -1.058; p = 0.001).

CONCLUSION

Disease duration and insulin dose were directly reflected in HbA1c concentrations, while carbohydrate counting showed an inverse association.

Metformin Improves Peripheral Insulin Sensitivity in Youth With Type 1 Diabetes

CONTEXT

Type 1 diabetes in adolescence is characterized by insulin deficiency and insulin resistance (IR), both thought to increase cardiovascular disease risk. We previously demonstrated that adolescents with type 1 diabetes have adipose, hepatic, and muscle IR, and that metformin lowers daily insulin dose, suggesting improved IR. However, whether metformin improves IR in muscle, hepatic, or adipose tissues in type 1 diabetes was unknown.

OBJECTIVE

Measure peripheral, hepatic, and adipose insulin sensitivity before and after metformin or placebo therapy in youth with obesity with type 1 diabetes.

DESIGN

Double-blind, placebo-controlled clinical trial.

SETTING

Multi-center at eight sites of the T1D Exchange Clinic Network.

PARTICIPANTS

A subset of 12- to 19-year-olds with type 1 diabetes (inclusion criteria: body mass index ≥85th percentile, HbA1c 7.5% to 9.9%, insulin dosing ≥0.8 U/kg/d) from a larger trial (NCT02045290) were enrolled.

INTERVENTION

Participants were randomized to 3 months of metformin (N = 19) or placebo (N = 18) and underwent a three-phase hyperinsulinemic euglycemic clamp with glucose and glycerol isotope tracers to assess tissue-specific IR before and after treatment.

MAIN OUTCOME MEASURES

Peripheral insulin sensitivity, endogenous glucose release, rate of lipolysis.

RESULTS

Between-group differences in change in insulin sensitivity favored metformin regarding whole-body IR [change in glucose infusion rate 1.3 (0.1, 2.4) mg/kg/min, P = 0.03] and peripheral IR [change in metabolic clearance rate 0.923 (-0.002, 1.867) dL/kg/min, P = 0.05]. Metformin did not impact insulin suppression of endogenous glucose release (P = 0.12). Adipose IR was not assessable with traditional methods in this highly IR population.

CONCLUSIONS

Metformin appears to improve whole-body and peripheral IR in youth who are overweight/obese with type 1 diabetes.

Neuropeptide B and neuropeptide W as new serum predictors of nutritional status and of clinical outcomes in pediatric patients with type 1 diabetes mellitus treated with the use of pens or insulin pumps

INTRODUCTION

The aim of our study was to determine the relationship between neuropeptide B (NPB), neuropeptide W (NPW), nutritional and antioxidant status and selected fat- and bone-derived factors in type 1 diabetes mellitus (T1DM) treated using pens (T1DM pen group) or insulin pumps (T1DM pump group) in order to investigate the potential role of NPB and NPW in the clinical outcomes of T1DM.

MATERIAL AND METHODS

Fifty-eight patients with T1DM and twenty-five healthy controls (CONTR) participated in the study. Assessments of NPB, NPW, total antioxidant status (TAS), leptin, adiponectin, osteocalcin, and free soluble receptor activator for nuclear factor κB (free sRANKL) were conducted.

RESULTS

NPB, NPW, leptin, and TAS were lower (by 33%, p < 0.013; 34%, p < 0.008; 290%, p < 0.00004; 21%, p < 0.05; respectively), while adiponectin was by 51% higher (p < 0.006) in T1DM vs. CONTR, while osteocalcin and free sRANKL levels were similar in both groups. NPW was lower in the T1DM pen group both vs. the T1DM pump group (36% lower, p < 0.0009) and vs. the CONTR group (35% lower, p < 0.002). In the T1DM pen group, but not in the T1DM pump group or the CONTR group, the Cole index and TAS levels explain (besides NPB) the variation in NPW values. ROC curves showed that serum levels of leptin, adiponectin, NPB and NPW (but not osteocalcin or free sRANKL) were predictive indicators for T1DM.

CONCLUSIONS

Measurements of NPB and NPW, besides leptin and adiponectin, are worth considering in the detailed prognosis of nutritional status in T1DM, primarily in the T1DM pen-treated population.

Lower plasma insulin levels during overnight closed-loop in school children with type 1 diabetes: Potential advantage? A randomized cross-over trial

Background

Studies have shown that overnight closed-loop insulin delivery can improve glucose control and reduce the risk of hypoglycemia and hence may improve metabolic outcomes and reduce burden for children with type 1 diabetes and their families. However, research so far has not reported insulin levels while comparing closed-loop to open-loop insulin delivery in children. Therefore, in this study we obtained glucose levels as well as plasma insulin levels in children with type 1 diabetes to evaluate the efficacy of a model—based closed-loop algorithm compared to an open-loop administration.

Methods

Fifteen children with type 1 diabetes, 6–12 years, participated in this open-label single center study. We used a randomized cross over design in which we compared overnight closed-loop insulin delivery with sensor augmented pump therapy for two nights in both the hospital and at home (i.e., 1 night in-patient stay and at home per treatment condition). Only during the in-patient stay, hourly plasma insulin and blood glucose levels were assessed and are reported in this paper.

Results

Results of paired sample t-tests revealed that although plasma insulin levels were significantly lower during the closed-loop than in the open-loop (Mean difference 36.51 pmol/l; t(13) = 2.13, p = .03, effect size d = 0.57), blood glucose levels did not vary between conditions (mean difference 0.76 mmol/l; t(13) = 1.24, p = .12, d = 0.37). The administered dose of insulin was significantly lower during the closed-loop compared with the open-loop (mean difference 0.10 UI; t(12) = 2.45, p = .02, d = 0.68).

Conclusions

Lower insulin doses were delivered in the closed-loop, resulting in lower plasma insulin levels, whereby glucose levels were not affected negatively. This suggests that the closed-loop administration is better targeted and hence could be more effective.

State of Type 1 Diabetes Management and Outcomes from the T1D Exchange in 2016-2018

OBJECTIVE

To provide a snapshot of the profile of adults and youth with type 1 diabetes (T1D) in the United States and assessment of longitudinal changes in T1D management and clinical outcomes in the T1D Exchange registry.

RESEARCH DESIGN AND METHODS

Data on diabetes management and outcomes from 22,697 registry participants (age 1-93 years) were collected between 2016 and 2018 and compared with data collected in 2010-2012 for 25,529 registry participants.

RESULTS

Mean HbA1c in 2016-2018 increased from 65 mmol/mol at the age of 5 years to 78 mmol/mol between ages 15 and 18, with a decrease to 64 mmol/mol by age 28 and 58-63 mmol/mol beyond age 30. The American Diabetes Association (ADA) HbA1c goal of <58 mmol/mol for youth was achieved by only 17% and the goal of <53 mmol/mol for adults by only 21%. Mean HbA1c levels changed little between 2010-2012 and 2016-2018, except in adolescents who had a higher mean HbA1c in 2016-2018. Insulin pump use increased from 57% in 2010-2012 to 63% in 2016-2018. Continuous glucose monitoring (CGM) increased from 7% in 2010-2012 to 30% in 2016-2018, rising >10-fold in children <12 years old. HbA1c levels were lower in CGM users than nonusers. Severe hypoglycemia was most frequent in participants ≥50 years old and diabetic ketoacidosis was most common in adolescents and young adults. Racial differences were evident in use of pumps and CGM and HbA1c levels.

CONCLUSIONS

Data from the T1D Exchange registry demonstrate that only a minority of adults and youth with T1D in the United States achieve ADA goals for HbA1c.

Bariatric surgery in patients with type 1 diabetes: special considerations are warranted

OBJECTIVE

We examined short and long-term outcomes of bariatric surgery in patients with obesity and type 1 diabetes mellitus (T1DM).

METHODS

We reviewed the records of all adults insured by Maccabi Healthcare Services during 2010 -2015, with body mass index (BMI) ⩾30 kg/m2 and T1DM; and compared weight reduction and glucose control according to the performance of bariatric surgery. BMI and glycated hemoglobin (HbA1c) levels were extracted for baseline and every 6 months, for a mean 3.5 years.

RESULTS

Of 52 patients, 26(50%) underwent bariatric surgery. Those who underwent surgery were more often female and with a longer duration of diabetes. Immediately postoperative, 4(15%) developed diabetic ketoacidosis, while 6(23%) experienced severe hypoglycemic episodes. The mean BMI decreased among surgery patients: from 39.5±4.4 to 30.1±5.0 kg/m2 (p < 0.0001); and increased among those who did not undergo surgery: from 33.6±3.9 to 35.1±4.4 kg/m2 (p = 0.49). The mean HbA1c level decreased during the first 6 months postoperative: from 8.5±0.9% to 7.9±0.9%; however, at the end of follow-up, was similar to baseline, 8.6±2.0% (p = 0.87). For patients who did not undergo surgery, the mean HbA1c increased from 7.9±1.9% to 8.6±1.5% (p = 0.09).

CONCLUSIONS

Among individuals with obesity and T1DM, weight loss was successful after bariatric surgery, but glucose control did not improve. The postoperative risks of diabetic ketoacidosis and severe hypoglycemic episodes should be considering when performing bariatric surgery in this population.

Sociodemographic associations of longitudinal adiposity in youth with type 1 diabetes

Excess adiposity is common in youth with type 1 diabetes, yet little is known about the sociodemographic factors that predict longitudinal trajectories of body fat. We analyzed data from 363 females and 379 males with type 1 diabetes over ~9 years of follow-up (mean baseline age 12.8 ± 2.3 years in females, 13.2 ± 2.4 years in males). Estimated body fat percentage (eBFP) was calculated with validated sex- and race/ethnicity-specific equations. Group-based modeling identified three eBFP trajectories for each sex. All female trajectories showed gradual increases, while male trajectories showed gradual decreases (<5% in eBFP) that plateaued around 7 years of diabetes duration. Female trajectories showed differences in baseline eBFP: Group F1 (38.0%), mean eBFP 27.8 ± 3.0%: Group F2 (47.9%), mean eBFP 33.9 ± 3.0%: and Group F3 (14.1%), mean eBFP 41.7 ± 4.1%. Male trajectories also showed differences in baseline eBFP: Group M1 (57.2%), mean eBFP 22.0 ± 3.0%: Group M2 (30.9%), mean eBFP 33.9 ± 3.0%: and Group M3 (12.9%), mean eBFP 36.1 ± 3.7%. In multinomial models, adjusted for clinical factors (eg, insulin regimen, insulin dose, and hemoglobin A1c), females who reported a single-parent household (adjusted odds ratio [aOR] = 3.34, 95% confidence interval [CI]: 1.49, 7.47), parental education of less than a college degree (aOR = 3.79, 95% CI: 1.60, 9.60), and a lack of private health insurance (aOR = 3.74, 95% CI: 1.45, 9.60), and a household income of less than $75 000 per year (aOR = 3.13, 95% CI: 1.27, 7.70) were approximately three to four times more likely to be in the highest eBFP trajectory group relative to the lowest eBFP trajectory group. Males who reported a household income of <$75 000/year were almost twice as likely to be in the Group M3 than the Group M1 in the unadjusted model only (aOR = 1.79, 95% CI: 0.91, 4.01 vs unadjusted OR: 2.48, 95% CI: 1.22, 5.06). Lower socioeconomic status may be associated with excess body fat throughout adolescence in type 1 diabetes, particularly among females.

Body mass index standard deviation score and obesity in children with type 1 diabetes in the Nordic countries. HbA1c and other predictors of increasing BMISDS

BACKGROUND

Intensified insulin therapy may increase body weight and cause obesity. This study compared body mass index standard deviation score (BMISDS) and obesity rate in children with type 1 diabetes (T1D) in Denmark, Iceland, Norway and Sweden, and uncovered predictors for increasing BMISDS.

METHODS

Data registered in the Nordic national childhood diabetes databases during the period 2008-2012 on children below 15 years with T1D for more than 3 months were compiled, including information on gender, age, diabetes duration, hemoglobin A_1c (HbA_1c ), insulin dose, severe hypoglycemia (SH), treatment modality, height and weight. The Swedish reference chart for BMI was used for calculating BMISDS.

RESULTS

Totally, 11 025 children (48% females) (30 994 registrations) were included. Medians by the last recorded examination were: age, 13.5 years; diabetes duration, 4.3 years; HbA_1c , 7.9% (63 mmol/mol); insulin dose, 0.8 IU/kg/d and BMISDS, 0.70. Obesity rate was 18.5%. Adjusted mean BMISDS (BMISDS adj) was inversely related to HbA_1c and directly to diabetes duration. Higher BMISDS adj was found in those with an insulin dose above 0.6 IU/kg/d, and in girls above 10 years. Pump users had higher BMISDS adj than pen users, and patients with registered SH had higher BMISDS adj than patients without SH (both P < .001).

CONCLUSION

Obesity rate in children with T1D in the Nordic countries is high, however, with country differences. Low HbA_1c , long diabetes duration, higher insulin dose, pump treatment and experiencing a SH predicted higher BMISDS. Diabetes caregivers should balance the risk of obesity and the benefit of a very low HbA_1c.

Prevalence of underweight, overweight, and obesity in children and adolescents with type 1 diabetes: Data from the international SWEET registry

OBJECTIVE

To assess the prevalence of underweight (UW), overweight (OW), and obesity in children and adolescents with type 1 diabetes (T1D).

METHODS

An international cross-sectional study including 23 026 T1D children (2-18 years, duration of diabetes ≥1 year) participating in the SWEET prospective, multicenter diabetes registry. Body mass index SD score (BMI-SDS) was calculated using the World Health Organization BMI charts. Children were categorized as UW (BMI-SDS < -2SD), OW (+1SD < BMI-SDS ≤ +2SD), and obese (OB) (BMI-SDS > +2SD). Hierarchic regression models were applied with adjustment for sex, age, and duration of diabetes.

RESULTS

The prevalence of UW, OW, and obesity was: 1.4%, 22.3%, and 7.3% in males and 0.6%, 27.2%, and 6.8% in females. Adjusted BMI-SDS was significantly higher in females than in males (mean ± SEM: 0.54 ± 0.05 vs 0.40 ± 0.05, P < 0.0001). In males, BMI-SDS significantly decreased by age (P < 0.0001) in the first three age categories 0.61 ± 0.06 (2 to <10 years), 0.47 ± 0.06 (10 to <13 years), 0.34 ± 0.05 (13 to <16 years). In females, BMI-SDS showed a U-shaped distribution by age (P < 0.0001): 0.54 ± 0.04 (2 to <10 years), 0.39 ± 0.04 (10 to <13 years), 0.55 ± 0.04 (13 to <16 years). BMI-SDS increased by diabetes duration (<2 years: 0.38 ± 0.05, 2 to <5 years: 0.44 ± 0.05, and ≥5 years: 0.50 ± 0.05, P < 0.0001). Treatment modality did not affect BMI-SDS. Adjusted HbA1c was significantly higher in females than in males (8.20% ± 0.10% vs 8.06% ± 0.10%, P < 0.0001). In both genders, the association between HbA1c and BMI-SDS was U-shaped with the highest HbA1c in the UW and obesity groups.

CONCLUSIONS

The high rate of OW and obesity (31.8%) emphasize the need for developing further strategies to prevent and treat excess fat accumulation in T1D.

Pathogenesis of Lipid Disorders in Insulin Resistance: a Brief Review

PURPOSE OF REVIEW

Insulin resistance (IR) is recognized to play an important role in the pathogenesis of dyslipidemia. This review summarizes the complex interplay between IR and dyslipidemia in people with and without diabetes.

RECENT FINDINGS

IR impacts the metabolism of triglycerides, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and very low-density lipoprotein cholesterol (VLDL-C) by several mechanisms. Trials with insulin sensitizing therapies, including biguanides and thiazolidinediones, have provided inconsistent results on lipid lowering in people with and without diabetes. In this review, we focus on the pathophysiological interplay between IR and dyslipidemia and recapitulate lipid and lipoprotein data from insulin-sensitizing trials. Further research elucidating the reciprocal relationship between IR and dyslipidemia is needed to better target these important risk factors for cardiovascular disease.

Trajectories of Body Mass Index from Childhood to Young Adulthood among Patients with Type 1 Diabetes-A Longitudinal Group-Based Modeling Approach Based on the DPV Registry

OBJECTIVE

To identify distinct longitudinal patterns of body mass index (BMI) z score in type 1 diabetes from childhood to young adulthood and secondly to determine sex differences as well as associated clinical covariates.

STUDY DESIGN

A total of 5665 patients with type 1 diabetes (51% male) with follow-up from 8 to 20 years of age from the multicenter diabetes prospective registry DPV were studied (baseline diabetes duration ≥1 years, BMI z score aggregated per year of life). Latent class growth modeling (SAS: PROC TRAJ) was applied to analyze BMI z score over time.

RESULTS

Six distinct BMI z score trajectories were identified (group 1: 7% of patients, group 2: 22%, group 3: 20%, group 4: 16%, group 5: 25%, and group 6: 10%). Group 1, 2, 5, and 6 had an almost stable BMI z score, either in the low, near-normal, high stable, or chronic overweight range. Group 3 (60% girls) increased their BMI during puberty, whereas group 4 (65% boys) had a BMI decrease. Similar patterns were observed for girls only, whereas boys followed nearly stable trajectories without fluctuation over time. Between the near-normal and the other groups, significant differences (P < .05) in sex ratio, migration background, mental health, height z score, glycated hemoglobin A1c, diabetes treatment, dyslipidemia, hypertension, and smoking were observed.

CONCLUSIONS

In youth with type 1 diabetes, a great heterogeneity of BMI z score trajectories exists that highlight the importance of personalized sex-specific intervention programs for subjects at risk for unfavorable BMI development.