Pediatric Diabetes Consortium Type 1 Diabetes New Onset (NeOn) Study: factors associated with HbA1c levels one year after diagnosis

7. Diabetes Technology: Standards of Care in Diabetes-2025

The American Diabetes Association (ADA) "Standards of 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, an interprofessional expert committee, 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 and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Risk factors for suboptimal glycemic control in pediatrics with type 1 diabetes mellitus: a cross-sectional study

The objective of this research is to analyze the influence of various factors on glycemic control in pediatrics with type 1 diabetes mellitus (T1DM). The study, a cross-sectional analysis, involved 221 T1DM patients below 18 years old who visited our clinic between 2011 and 2020, predating the COVID-19 outbreak. Out of the initial pool, 204 participants were chosen based on specific criteria. By computing odds ratios and 95% confidence intervals, we determined the correlation between these factors and achieving optimal glycemic control (HbA1c < 7.5%). Of the 204 individuals, 55.9% (113 patients) were female. The average age at diagnosis was 6.93 ± 3.9 years. Mean HbA1c (A1C) level of optimal and suboptimal groups were 6.97, 95% CI 6.84 to 7.1 and 8.86, 95% CI 8.68 to 9.03, respectively (p-value < 0.001). Fifty patients had optimal glycemic control and 154 people experienced suboptimal glycemic control during the follow-up that the prevalence of each of them was 24.51, 95% CI 18.7 to 31 and 75.49, 95% CI 68.99 to 81.22, respectively. In the assessment of risk factors associated with suboptimal glycemic control, patients aged 10-14 years had the highest likelihood of experiencing suboptimal glycemic control (crude odds ratio [COR] 3.12, 95% CI 1.04 to 9.3), followed by duration of diabetes (COR 2.85, 95% CI 1.2 to 6.8), which both were significant. By utilizing multivariable logistic regression analysis, a noteworthy finding emerged. It was revealed that patients aged 10-14 years exhibited a significant association with suboptimal glycemic control, [adjusted odds ratio (AOR) 4.85, 95% CI 1.32 to 17.7]. Additionally, a statistically significant correlation was identified between individuals with a body mass index (BMI) falling within the ≥ 95th percentile category and suboptimal glycemic control, Cramer's V = 0.21, p-value = 0.01. Our research has revealed a significant correlation between patients aged 10-14 years and obese individuals (BMI ≥ 95th) with suboptimal glycemic control. It is crucial to consider these factors as they can offer valuable insights during diagnosis, highlighting the increased risk of long-term suboptimal glycemic control.

Diabetes Study of Children of Diverse Ethnicity and Race: Study design

AIMS

Determining diabetes type in children has become increasingly difficult due to an overlap in typical characteristics between type 1 diabetes (T1D) and type 2 diabetes (T2D). The Diabetes Study in Children of Diverse Ethnicity and Race (DISCOVER) programme is a National Institutes of Health (NIH)-supported multicenter, prospective, observational study that enrols children and adolescents with non-secondary diabetes. The primary aim of the study was to develop improved models to differentiate between T1D and T2D in diverse youth.

MATERIALS AND METHODS

The proposed models will evaluate the utility of three existing T1D genetic risk scores in combination with data on islet autoantibodies and other parameters typically available at the time of diabetes onset. Low non-fasting serum C-peptide (<0.6 nmol/L) between 3 and 10 years after diabetes diagnosis will be considered a biomarker for T1D as it reflects the loss of insulin secretion ability. Participating centres are enrolling youth (<19 years old) either with established diabetes (duration 3-10 years) for a cross-sectional evaluation or with recent onset diabetes (duration 3 weeks-15 months) for the longitudinal observation with annual visits for 3 years. Cross-sectional data will be used to develop models. Longitudinal data will be used to externally validate the best-fitting model.

RESULTS

The results are expected to improve the ability to classify diabetes type in a large and growing subset of children who have an unclear form of diabetes at diagnosis.

CONCLUSIONS

Accurate and timely classification of diabetes type will help establish the correct clinical management early in the course of the disease.

7. Diabetes Technology: Standards of Care in Diabetes-2024

The American Diabetes Association (ADA) "Standards of 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, an interprofessional expert committee, 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 and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

7. Diabetes Technology: Standards of Care in Diabetes-2023

The American Diabetes Association (ADA) "Standards of 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, 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 and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Predictors of glycemic control in children and adolescents with type 1 diabetes at 12 months after diagnosis

Identifying risk factors for suboptimal glycemic control during the first year after diagnosis with type 1 diabetes (T1D) may provide early appropriate and individualized management. Our aim was to study possible predictors of early glycemic control during the first year after diagnosis with T1D in children and adolescents in Jordan. This is a retrospective study conducted through a review of medical records at Jordan University Hospital and the National Centre for Diabetes, Endocrinology and Genetics. Children and adolescents diagnosed with T1D at age younger than 16 years and with diabetes duration of at least 2 years were included. Demographic, clinical and socioeconomic factors were collected, in addition to glycosylated hemoglobin (HbA1c) values during the first year after diagnosis. Average age at diagnosis of the 337 patients who were enrolled in the study was 7.7 ± 3.8 years. HbA1c at diagnosis was 10.9 ± 1.9% (95.64 ± 20.76 mmol/mol). Factors such as the involvement of children's mothers in deciding insulin doses, higher mother's educational level and higher family monthly income were associated with better early glycemic control. HbA1c at 6 months after diagnosis, parental marital status and compliance to counting carbohydrates were significant predictors of glycemic control at 12 months after diagnosis. Many clinical and socioeconomic factors were associated with early glycemic control at 12 months after diagnosis. Modifiable risk factors must be addressed as early as possible to decrease future complications. Children with nonmodifiable risk factors should be identified early for closer observation and providing individualized diabetes care plan.

Good glycemic control without exceeding the BMI trajectory during the first 5 years of treatment in children and adolescents with type 1 diabetes

OBJECTIVE

To study BMI changes and glycemic control in children and adolescents during the first 5 years following diagnosis of type 1 diabetes.

RESEARCH DESIGN AND METHODS

The 295 children and adolescents (<18 years) diagnosed with type 1 diabetes started on multiple injection treatment and were followed during the first 5 years of treatment with respect to glycemic control and weight change. Growth curves preceding the onset of diabetes were obtained from the school health services and child care centers. BMI was recalculated into BMI SD scores (BMISDS).

RESULTS

Prior to the onset of diabetes, the BMISDS was 0.46 ± 1.24 (mean ± SD), which decreased to -0.61 ± 1.36 (p < 0.001) at presentation. At 1 year, BMISDS was 0.59 ± 0.99 (p > 0.05) and increased to 0.80 ± 1.03 at 5 years; 0.97 ± 0.93 in females versus 0.68 ± 1.08 in males (p < 0.001). BMISDS at 1 year and 5 years were directly proportional to and highly predicted by BMISDS prior to the onset of type 1 diabetes, (r = 0.76; p < 0.001) vs. (r = 0.58; p < 0.001). HbA1c at 1 year was 50 ± 10 mmol/mol, which increased to 58 ± 12 mmol/mol (p < 0.001) at 5 years; females had HbA1c 60 ± 14 mmol/mol versus males 56 ± 11 mmol/mol (r = 0.35, p < 0.001). There was a correlation, irrespective of gender, between HbA1c and BMISDS at 1 year (r = 0.18, p < 0.003), but not at 5 years (r = 0.036, (p > 0.5).

CONCLUSION

During the first 5 years of treatment of type 1 diabetes in children and adolescents it is possible to achieve good glycemic control without excess weight gain.

Peer-support intervention for African American and Latino parents to improve the glycemic control trajectory among school-aged children with type 1 diabetes: A pilot and feasibility protocol

Background Type 1 diabetes (T1D) is a common, chronic pediatric health condition with complicated management demands. African American and Latino children with T1D have troubling disparities in glycemic outcomes and acute complications. While there are empirically supported behavioral interventions to support disease management in youth with T1D, there are few that specifically aim to reduce health disparities in this population. While collaborative parent involvement with the child with T1D management tasks is important to promote optimal glycemic outcomes during childhood, our formative research identified multiple individual, family, and broader system factors that impede or facilitate collaborative parental involvement among African American and Latino parents of children with T1D. Methods This paper describes the development, design, and study protocol for the Type 1 Diabetes Empowerment And Management (TEAM) pilot trial. The TEAM intervention is a novel, group-based behavioral intervention designed to enhance collaborative involvement in T1D management for African American and Latino parents of children aged 5-10. This randomized pilot trial's primary aim is to evaluate the TEAM intervention's feasibility and acceptability. The secondary aim is to examine preliminary intervention outcomes (i.e., children's HbA1c, treatment adherence, collaborative parent involvement in T1D management, parent/child quality of life, and parent's diabetes-related distress, depressive symptoms, and self-efficacy) compared to usual T1D care. Discussion The trial will provide preliminary information about whether optimizing appropriate parent involvement during the school-age years may increase T1D treatment adherence and stabilize or improve glycemic control in African American and Latino school-aged children.

7. Diabetes Technology: Standards of Medical Care in Diabetes-2022

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/dc22-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/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Factors related to glycemic control in children and adolescents with type 1 diabetes mellitus in Isfahan, Iran

PURPOSE

Glycemic control is traditionally evaluated by monitoring of hemoglobin A1c (HbA1c). This study aims to explore factors related to glycemic control among pediatrics with type 1 diabetes mellitus (T1DM).

METHODS

This cross-sectional study was conducted among 454 students aged 6-18 years with T1DM in 2018. Demographic and disease related information were collected by a validated questionnaire. Generalized Linear Models (GLM) were used to investigate the association of explanatory variables with HbA1c concentration.

RESULTS

The mean (SD) age of the participants was 11.7(± 3.3) years. The overall prevalence of suboptimal glycemic control was 85.5% (HbA1c ≥ 7%). Results showed that post pubertal children experienced a significant decrease in HbA1c levels compared to prepubertal children (β =-0.83, p = 0.003). Underweight children had an increase of 1.32% in HBA1c concentration compared with normal weight children (β = 1.32, P = 0.007). We also found that participants with passive smoking had higher HBA1c levels than those without (β = 0.536, P = 0.022).

CONCLUSIONS

The results indicated that age, BMI and passive smoking and were significantly associated with HbA1c levels. It is suggested that glycemic control is related to multiple factors and the interaction of these factors with each other may have positive or negative effects on it which should be investigated in future studies. Improved understanding in this area could lead to prevention of deterioration in glycemic control.

Early Racial/Ethnic Disparities in Continuous Glucose Monitor Use in Pediatric Type 1 Diabetes

Racial-ethnic disparities in technology use have been described in children with type 1 diabetes (T1D). It is not known whether these emerge early in disease management. This single-center retrospective study examined disparities in continuous glucose monitor (CGM) initiation and durability in the first-year after diagnosis of T1D in children. Of 345 eligible children, 46% started CGM within their first year. In non-Hispanic white (NHW) children, 51% started using CGM versus 28% of non-Hispanic black (NHB) children (P = 0.006). After stratifying by commercial/government insurance, a proxy for socioeconomic status, this difference persisted among those with commercial insurance. One-year post-CGM initiation, 96% (125/130) of NHW children were using CGM versus 73% (11/15) of NHB children (P = 0.003). Disparities in CGM use emerge early in care of children with T1D, with lower rates of initiation and sustained use of CGM in NHB children. Strategies addressing causes of these disparities should begin early in T1D management.

Can Innovative Technologies Overcome HbA1c Disparity for African-American Youth with Type 1 Diabetes?

Achieving normal or near-normal glycemic control as reflected by HbA1c levels in patients with type 1 diabetes (T1D) is important for preventing the development and progression of chronic complications. Despite delineation and dissemination of HbA1c management targets and advances in insulin pharmacology, insulin delivery systems, and glucose monitoring, the majority of children with T1D do not achieve HbA1c goals. In particular, African Americans are more likely not to reach HbA1c goals and have persistently higher HbA1c than Non-Hispanic Whites. Availability of pumps and other technology has not eliminated the disparity in HbA1c. Multiple factors play a role in the persisting racial disparity in HbA1c outcome. The carefully designed application and deployment of new technology to help the patient/family and facilitate the supportive role of the diabetes management team may be able to overcome racial disparity in glycemic outcome and improve patient quality of life.

Clinical and Demographic Factors Associated With Diabetic Retinopathy Among Young Patients With Diabetes

IMPORTANCE

Diabetic retinopathy (DR) is a leading cause of vision loss worldwide. As the incidence of both type 1 and type 2 diabetes among youths continues to increase around the world, understanding the factors associated with the development of DR in this age group is important.

OBJECTIVE

To identify factors associated with DR among children, adolescents, and young adults with type 1 or type 2 diabetes in the US.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study pooled data from 2 large academic pediatric centers in the US (Baylor College of Medicine/Texas Children's Hospital [BCM/TCH] Diabetes and Endocrine Care Center and Johns Hopkins University [JHU] Pediatric Diabetes Center) to form a diverse population for analysis. Data were collected prospectively at the JHU center (via point-of-care screening using fundus photography) from December 3, 2018, to November 1, 2019, and retrospectively at the BCM/TCH center (via electronic health records of patients who received point-of-care screening using retinal cameras between June 1, 2016, and May 31, 2019). A total of 1640 individuals aged 5 to 21 years with type 1 or type 2 diabetes (308 participants from the JHU center and 1332 participants from the BCM/TCH center) completed DR screening and had gradable images.

MAIN OUTCOME AND MEASURES

Prevalence of DR, as identified on fundus photography, and factors associated with DR.

RESULTS

Among 1640 participants (mean [SD] age, 15.7 [3.6] years; 867 female individuals [52.9%]), 1216 (74.1%) had type 1 diabetes, and 416 (25.4%) had type 2 diabetes. A total of 506 participants (30.9%) were Hispanic, 384 (23.4%) were non-Hispanic Black or African American, 647 (39.5%) were non-Hispanic White, and 103 (6.3%) were of other races or ethnicities (1 was American Indian or Alaska Native, 50 were Asian, 1 was Native Hawaiian or Pacific Islander, and 51 did not specify race or ethnicity, specified other race or ethnicity, or had unavailable data on race or ethnicity). Overall, 558 of 1216 patients (45.9%) with type 1 diabetes used an insulin pump, and 5 of 416 patients (1.2%) with type 2 diabetes used an insulin pump. Diabetic retinopathy was found in 57 of 1640 patients (3.5%). Patients with DR vs without DR had a greater duration of diabetes (mean [SD], 9.4 [4.4] years vs 6.6 [4.4] years; P < .001) and higher hemoglobin A1c (HbA1c) levels (mean [SD], 10.3% [2.4%] vs 9.2% [2.1%]; P < .001). Among those with type 1 diabetes, insulin pump use was associated with a lower likelihood of DR after adjusting for race and ethnicity, insurance status, diabetes duration, and HbA1c level (odds ratio [OR], 0.43; 95% CI, 0.20-0.93; P = .03). The likelihood of having DR was 2.1 times higher among Black or African American participants compared with White participants (OR, 2.12; 95% CI, 1.12-4.01; P = .02); this difference was no longer significant after adjusting for duration of diabetes, insurance status, insulin pump use (among patients with type 1 diabetes only), and mean HbA1c level (type 1 diabetes: OR, 1.79; 95% CI, 0.83-3.89; P = .14; type 2 diabetes: OR, 1.08; 95% CI, 0.30-3.85; P = .91).

CONCLUSIONS AND RELEVANCE

This study found that although the duration of diabetes and suboptimal glycemic control have long been associated with DR, insulin pump use (among those with type 1 diabetes) was independently associated with a lower likelihood of DR, which is likely owing to decreased glycemic variability and increased time in range (ie, the percentage of time blood glucose levels remain within the 70-180 mg/dL range). Black or African American race was found to be associated with DR in the univariable analysis but not in the multivariable analysis, which may represent disparities in access to diabetes technologies and care.

Association between scanning frequency of flash glucose monitoring and continuous glucose monitoring-derived glycemic makers in children and adolescents with type 1 diabetes

BACKGROUND

We assessed the association between scanning frequency of flash glucose monitoring (FGM) and continuous glucose monitoring (CGM)-derived glycemic markers in children and adolescents with type 1 diabetes.

METHODS

Subjects consisted of 85 children and adolescents with type 1 diabetes using FGM. We assessed the association between scanning frequencies of FGM- and CGM-derived metrics: Time in range (TIR) (70-180 mg/dL), time below range (TBR) (<70 mg/dL), time above range (>180 mg/dL), and other glycemic markers - laboratory-measured HbA1c and CGM-estimated glucose and HbA1c (eA1c) levels in the subjects.

RESULTS

The mean number of scans was 11.5 ± 3.5 (5-20) times per day, and scanning was most frequently conducted during a period of 18-24 h. Scanning frequency showed significant positive correlation with TIR (r = 0.719, P < 0.0001) and inverse correlation with time above range (r = -0.743, P < 0.0001), but did not correlate with TBR. There were also significant inverse correlations between scanning frequency and glucose, HbA1c, and eA1c levels (r = -0.765, -0.815, and -0.793, respectively, P < 0.0001).

CONCLUSIONS

Frequent glucose testing with FGM decreased hyperglycemia with increased TIR, but did not reduce TBR. Coping with a rapid fall of glucose and unexpected hypoglycemia with more advanced technology might contribute to a reduction in TBR.

7. Diabetes Technology: 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.

Challenges in the diagnosis of diabetes type in pediatrics

The incidence of diabetes, both type 1 and type 2, is increasing. Health outcomes in pediatric diabetes are currently poor, with trends indicating that they are worsening. Minority racial/ethnic groups are disproportionately affected by suboptimal glucose control and have a higher risk of acute and chronic complications of diabetes. Correct clinical management starts with timely and accurate classification of diabetes, but in children this is becoming increasingly challenging due to high prevalence of obesity and shifting demographic composition. The growing obesity epidemic complicates classification by obesity's effects on diabetes. Since the prevalence and clinical characteristics of diabetes vary among racial/ethnic groups, migration between countries leads to changes in the distribution of diabetes types in a certain geographical area, challenging the clinician's ability to classify diabetes. These challenges must be addressed to correctly classify diabetes and establish an appropriate treatment strategy early in the course of disease for all. This may be the first step in improving diabetes outcomes across racial/ethnic groups. This review will discuss the pitfalls in the current diabetes classification scheme that is leading to increasing overlap between diabetes types and heterogeneity within each type. It will also present proposed alternative classification schemes and approaches to understanding diabetes type that may improve the timely and accurate classification of pediatric diabetes type.

Type 1 diabetes management and outcomes: A multicenter study in Thailand

Aims/Introduction

The Thai Type 1 Diabetes and Diabetes Diagnosed Before Age 30 Years Registry, Care and Network was established in 2014 and involved 31 hospitals. The objective of the registry was to evaluate glycemic control and complications of patients with type 1 diabetes.

Materials and Methods

Patients’ demographics, clinical data, frequencies of daily self‐monitoring of blood glucose (SMBG), glycemic control and complications were collected.

Results

Among the 1,907 type 1 diabetes patients, the mean age was 21.2 ± 11.3 years. The mean glycated hemoglobin level was 9.35 ± 2.41%, with significant variations among age groups (P < 0.001). Conventional insulin treatment and intensive insulin treatment were used in 43 and 57% of patients, respectively. Mean glycated hemoglobin levels were significantly higher in patients treated with conventional insulin treatment compared to those treated with intensive insulin treatment (9.63 ± 2.34 vs 9.17 ± 2.46%, P = 0.002). Compared to the conventional insulin treatment group, significantly more patients in the intensive insulin treatment group achieved good glycemic control (P < 0.001), and fewer had diabetic retinopathy (P = 0.031). The prevalence of microvascular complications increased significantly with age (P < 0.001). Multivariate analysis showed good glycemic control to be associated with age 25 to <45 years, intensive insulin treatment with SMBG three or more times daily and diabetes duration of 1 to <5 years.

Conclusions

Most Thai type 1 diabetes patients were not meeting the recommended glycemic target. As a result of this study, the national program to improve the quality of diabetes treatment and education has been implemented, and the results are ongoing.

The Role of Socioeconomic Status in Latino Health Disparities Among Youth with Type 1 Diabetes: a Systematic Review

PURPOSE OF REVIEW

Type 1 diabetes (T1D) incidence is growing faster among Latino than non-Latino White youth, but ethnic disparities in self-management behaviors and HbA1c are unclear. Socioeconomic status (SES) is a key factor in T1D, which may confound or contribute to disparities in Latino pediatric T1D management. A systematic review examined whether ethnic differences in pediatric T1D outcomes occur and are independent of socioeconomic status (SES).

RECENT FINDINGS

Latino youth displayed lower self-management and higher HbA1c in approximately half of the identified studies prior to including SES in analyses. Ethnic differences in self-management were found for objective (i.e., frequency of blood glucose checks), but not subjective measures. Ethnic differences were often eliminated when SES was statistically controlled. SES moderated some differences, suggesting complex sociocultural processes. Articles varied widely in SES measures and the analytic methods used to evaluate ethnic disparities. Pediatric Latino T1D disparities are inconsistent and at least partially dependent on the SES context. Recommendations for future research to systematically evaluate SES and Latino T1D disparities are made.

Allogenic Adipose Tissue-Derived Stromal/Stem Cells and Vitamin D Supplementation in Patients With Recent-Onset Type 1 Diabetes Mellitus: A 3-Month Follow-Up Pilot Study

Objective: To evaluate the short term safety and potential therapeutic effect of allogenic adipose tissue-derived stromal/stem cells (ASCs) + cholecalciferol in patients with recent-onset T1D.

Methods: Prospective, phase II, open trial, pilot study in which patients with recent onset T1D received ASCs (1 × 10⁶ cells/kg) and cholecalciferol 2000 UI/day for 3 months (group 1) and were compared to controls with standard insulin therapy (group 2). Adverse events, C-peptide (CP), insulin dose, HbA1c, time in range (TIR), glucose variability (continuous glucose monitoring) and frequency of CD4⁺FoxP3+ T-cells (flow cytometry) were evaluated at baseline (T0) and after 3 months (T3).

Results: 13 patients were included (8: group 1; 5: group 2). Their mean age and disease duration were 26.7 ± 6.1 years and 2.9 ± 1.05 months. Adverse events were transient headache (n = 8), mild local reactions (n = 7), tachycardia (n = 4), abdominal cramps (n = 1), thrombophlebitis (n = 4), mild floaters (n = 2), central retinal vein occlusion (n = 1, complete resolution). At T3, group 1 had lower insulin requirement (0.22 ± 0.17 vs. 0.61±0.26IU/Kg; p = 0.01) and HbA1c (6.47 ± 0.86 vs. 7.48 ± 0.52%; p = 0.03) than group 2. In group 1, 2 patients became insulin free (for 4 and 8 weeks) and all were in honeymoon at T3 (vs. none in group 2; p = 0.01). CP variations did not differ between groups (−4.6 ± 29.1% vs. +2.3 ± 59.65%; p = 0.83).

Conclusions: Allogenic ASCs + cholecalciferol without immunosuppression was associated with stability of CP and unanticipated mild transient adverse events in patients with recent onset T1D.

ClinicalTrials.gov registration: NCT03920397.

Neighborhood disadvantage, parent-adolescent relationship quality, and type 1 diabetes in late adolescents transitioning to early emerging adulthood

OBJECTIVE

We examined whether neighborhood disadvantage predicted subsequent levels, and longitudinal trajectories, of type 1 diabetes (T1D) outcomes among late adolescents transitioning into early emerging adulthood. We also examined whether such associations occur indirectly through parent-adolescent relationship quality.

RESEARCH DESIGN & METHODS

Seniors in high school with T1D (N = 236; mean age 17.76 ± 0.39 years; 61% female; 73.7% non-Latino White) completed selfreport measures of relationship quality with mothers and fathers, and adherence to their diabetes regimen; glycemic control was measured using HbA1c assay kits. Both T1D outcomes (i.e. adherence, HbA1c) were assessed annually across three time points (two years). Census tract indicators of neighborhood disadvantage (e.g., % unemployed) were culled from participant addresses at baseline linked to American Community Survey data. Structural Equation Modeling was used to estimate direct and indirect links between neighborhood disadvantage, relationship quality, and both subsequent levels (i.e., intercepts centered at Time 2), and trajectories of T1D outcomes (i.e., slopes across three time points).

RESULTS

All models showed excellent fit to the data. Greater neighborhood disadvantage associated with lower relationship quality with both parents. Lower relationship quality with fathers (but not with mothers) measured at Time 1 predicted poorer levels of adherence and HbA1c at Time 2, and formed an indirect path linking neighborhood disadvantage to each Time 2 outcome. Neighborhood disadvantage and parent-adolescent relationship quality during high school did not predict longitudinal trajectories of T1D outcomes across all three time points.

CONCLUSIONS

Parent-adolescent relationship quality (especially with fathers) remains important for T1D outcomes among late adolescents on the cusp of emerging adulthood, but may be at risk among those living within a socioeconomically-disadvantaged neighborhood.

Factors predicting poor glycemic control in the first two years of childhood onset type 1 diabetes in a cohort from East London, UK: Analyses using mixed effects fractional polynomial models

BACKGROUND/OBJECTIVE

Poor early glycemic control in childhood onset type 1 diabetes (T1D) is associated with future risk of acute and chronic complications. Our aim was to identify the predictors of higher glycated hemoglobin (HbA1c) within 24 months of T1D diagnosis in children and adolescents.

METHODS

Mixed effects models with fractional polynomials were used to analyze longitudinal data of patients <19 years of age, followed from T1D diagnosis for up to 2 years, at three diabetes clinics in East London, United Kingdom.

RESULTS

A total of 2209 HbA1c observations were available for 356 patients (52.5% female; 64.4% non-white), followed from within 3 months of diagnosis during years 2005 to 2015, with a mean ± SD of 6.2 ± 2.5 HbA1c observations/participant. The mean age and HbA1c at diagnosis were 8.9 ± 4.3 years and 10.7% ±4.3% (or expressed as mmol/mol HbA1c mean ± SD 92.9 ± 23.10 mmol/mol) respectively. Over the 2 years following T1D diagnosis, HbA1c levels were mostly above the National Institute for Health, Care and Excellence (NICE), UK recommendations of 7.5% (<58 mmol/mol). Significant (P < .05) predictors of poorer glycemic control were: Age at diagnosis (12-18 years), higher HbA1c at baseline (>9.5%, ie, >80 mmol/mol), clinic site, non-white ethnicity, and period (pre-year 2011) of diagnosis. Additionally in univariable analyses, frequency of clinic visits, HbA1c at diagnosis, and type of insulin treatment regimen showed association with poor glycemic control (P < .05).

CONCLUSIONS

Major risk factors of poorer glycemic control during 3-24 months following childhood onset T1D are: diagnosis prior to 2011, higher HbA1c levels at baseline, age at diagnosis, non-white ethnicity, and clinic site.

7. Diabetes Technology: Standards of Medical Care in Diabetes-2020

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/dc20-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/dc20-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Monitoring of Pediatric Type 1 Diabetes

Regular self-monitoring of blood glucose levels, and ketones when indicated, is an essential component of type 1 diabetes (T1D) management. Although fingerstick blood glucose monitoring has been the standard of care for decades, ongoing rapid technological developments have resulted in increasingly widespread use of continuous glucose monitoring (CGM). This article reviews recommendations for self-monitoring of glucose and ketones in pediatric T1D with particular emphasis on CGM and factors that impact the accuracy and real-world use of this technology.

Serum C-peptide and osteocalcin levels in children with recently diagnosed diabetes

BACKGROUND

We explored the association of C-peptide (marker of secreted insulin), proinsulin and proinsulin ⁄C-peptide ratio (PI/C) (markers of beta-cell endoplasmic reticulum [ER] stress) with undercarboxylated (uOC) and carboxylated osteocalcin (cOC) and their ratio (uOC/cOC) in children with recently diagnosed type 1 (T1D) or type 2 diabetes (T2D), and the correlation of these variables with partial remission (PR) in children with T1D.

METHODS

Demographic and clinical data of children with new-onset diabetes (n = 68; median age = 12.2 years; 33.8% non-Hispanic White, 45.6% Hispanic/Latino, 16.2% African American and 4.4% other) were collected at diagnosis and during the first (V1), second (V2) and third clinical visits at 9.0, 32.0 and 175.7 weeks, respectively. Serum proinsulin, C-peptide, uOC and cOC values were measured 7.0 weeks after diagnosis. PR was defined as insulin dose-adjusted HbA1c (IDAA1c) ≤9.

RESULTS

In children with new-onset T1D with DKA (33.3%) or T2D (29.4%), Spearman's correlation coefficient revealed a positive association between the C-peptide levels and both uOC and uOC/cOC ratio. In T1D (n = 48), both higher serum C-peptide levels and low PI:C ratio were associated with higher BMI percentile (β = 0.02, P = .001; β = -0.01, P = .02, respectively) and older age at diagnosis (β = 0.13, P = .001; β = -0.12, P = .001, respectively). Furthermore, in children with T1D, C-peptide levels at V1 correlated with IDAA1c ≤ 9 at V1 (P = .04).

CONCLUSION

C-peptide levels are associated with a higher uOC and uOC/cOC ratio in paediatric diabetes. In new-onset T1D children, older age and higher BMI were associated with lower beta-cell stress and higher preserved function, which was predictive of PR on follow-up.

Impact of Socioeconomic Characteristics on Metabolic Control in Children with Type 1 Diabetes in a Developing Country

OBJECTIVE

Adequate glycemic control in children with type 1 diabetes reduces the risk of future complications. Identifying factors affecting haemoglobin A1c (HbA1c) is crucial to management of metabolic control. We aimed to identify possible socioeconomic predictors of poor metabolic control this patient group in Jordan, a developing country with limited resources.

METHODS

Medical charts of children with type 1 diabetes attending the pediatric endocrine clinics in two major diabetes centers were reviewed. HbA1c ≥7.5% (58 mmol/mol) was considered to reflect poor metabolic control. Logistic regression analysis was performed to identify predictors of poor glycemic control. The association between socioeconomic characteristics and metabolic control was evaluated using multiple correspondence analysis (MCA).

RESULTS

Two hundred and fifty-nine children were enrolled in the study. One fifth of the patients (20.5%) achieved HbA1c <7.5%. Patients with dietary non-compliance [odds ratio (OR): 3.533, confidence interval (CI): 1.803 - 6.926; p<0.001], and those who were overweight (OR: 3.869, CI: 1.218 - 12.294; p=0.022) were more likely to have poor metabolic control. Children whose mothers had a bachelor’s degree or higher were less likely to have poor metabolic control compared to children whose mothers had only elementary education (OR: 0.241, CI: 0.079 - 0.734; p=0.012). MCA revealed an association between low socioeconomic status and poor metabolic control. Children with deceased mothers had significantly higher HbA1c of 10.6±1.86% compared to an average of 8.7±1.45% for the rest of participants (p=0.005).

CONCLUSION

Low socioeconomic status, lower levels of maternal education and maternal death were associated with poor metabolic control. Identifying children with these risk factors might play an important role in optimizing metabolic control and provide better diabetes care.

Socio-economic, demographic, and clinical correlates of poor glycaemic control within insulin regimens among children with Type 1 diabetes: the SEARCH for Diabetes in Youth Study

AIM

To examine the distribution and association of sociodemographic, adherence, and barriers-to-care factors in relation to glycaemic control within insulin regimens in US children with Type 1 diabetes in the SEARCH for Diabetes in Youth Study.

METHODS

Self- or parent-reported data from 1095 children with Type 1 diabetes aged 10-17 years were collected on insulin regimen, sociodemographics, diabetes self-management, diabetes-related family conflict and barriers to care. Multivariable logistic regression analysis identified poor glycaemic control correlates within each insulin regimen.

RESULTS

Participants included 694 children on insulin pump therapy, 188 receiving basal-bolus injections, and 213 on a mixed insulin regimen. Of these, 28.5%, 45.2% and 51.2%, respectively, had poor glycaemic control [HbA_1c ≥ 80 mmol/mol (9.5%)]. Family conflict between parent and child regarding diabetes management was the only factor significantly associated with poor glycaemic control in all insulin regimens (insulin pump, P≤ 0.0001; basal-bolus injections, P=0.0002; mixed insulin regimen, P=0.0103). For children on insulin pump, poor control was significantly associated with non-white race (P=0.0008), living in multiple households (P=0.0331), having Medicaid insurance (P=0.0090), and decreased insulin adherence (P<0.0001). For children on a mixed insulin regimen, living in multiple households (P=0.0256) and not spending enough time with healthcare provider (P=0.0058) correlated with poor control.

CONCLUSIONS

A high percentage of US children with Type 1 diabetes had poor glycaemic control, especially those not using an insulin pump. Early identification of children with risk factors associated with poor glycaemic control within insulin regimens and addressing diabetes-related family conflict may allow interventions to improve diabetes management.

Early Initiation of Diabetes Devices Relates to Improved Glycemic Control in Children with Recent-Onset Type 1 Diabetes Mellitus

Objective: To test whether the addition of an insulin pump or continuous glucose monitor (CGM) related to reduced glycated hemoglobin A1c (HbA1c) in large cohort of children, 5-9 years old, and within 1 year of their type 1 diabetes (T1D) diagnosis. Research Design and Methods: The study uses data from families of children with recent-onset T1D and who were between 5 and 9 years old. Study analyses used children's HbA1c values at baseline and at the 6-month follow-up. Parents reported on family demographics and children's T1D device use in their daily management (e.g., insulin pump or CGM). Children's mean T1D duration was 4.70 ± 3.28 months at baseline, so the 6-month assessment point was ∼12 months postdiagnosis. Results: One hundred-eleven families participated. At baseline, child mean age was 7.51 ± 1.37 years, and mean child HbA1c was 7.65% ± 1.40%. In addition, 17% of children used an insulin pump, and 17.1% of children used CGM. Six months later, 35.1% of children had started an insulin pump and 25.2% had started CGM. Repeated measures analyses of variance results showed a smaller overall HbA1c between baseline and 6 months for children using an insulin pump versus children not on a pump. For CGM, results showed that children starting a CGM during this window had a significantly lower HbA1c level than children who had not started on CGM. Conclusions: The study results suggest that early initiation of either an insulin pump or CGM in children newly diagnosed with T1D may help to improve child HbA1c levels within the first 12 months of diabetes.

7. Diabetes Technology: Standards of Medical Care in Diabetes-2019

The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes 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, 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 Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Hemoglobin A1c, frequency of glucose testing and social disadvantage: Metrics of racial health disparity in youth with type 1 diabetes

INTRODUCTION

Black youth with type 1 diabetes (T1D) have higher HbA1c than whites. To understand HbA1c differences, we examined the relationship of psycho-social factors and glucose testing with HbA1c.

METHODS

Glucose tests per day (BGs/d) and mean blood glucose (MBG) were calculated from meter data of youth self-identified as black (n = 33) or white (n = 53) with T1D. HbA1c, family income, insurance status, concentrated disadvantage (CDI), psychological depression (DSC), mother educational attainment (MEA), and insulin delivery method (IDM) data was were analyzed.

RESULTS

Black patients had significantly higher HbA1c, MBG and disadvantage measures compared to whites. BGs/d correlated with HbA1c, MBG, age and CDI. Race (p < 0.0158), age (p < 0.0001) and IDM (p < 0.0036) accounted for 50% of the variability (R2 = 0.5, p < 0.0001) in BGs/d. Regardless of age, black patients had lower BGs/d than whites. MBG (p < 0.0001) and BGs/d (p < 0.0001) accounted for 61% of the variance in HbA1c (p < 0.0001).

CONCLUSIONS

BGs/d is easily assessed and closely associated with HbA1c racial disparity. BGs/d is intricately linked with greater social disadvantage. Innovative management approaches are needed to overcome obstacles to optimal outcomes.

Authoritarian parenting style predicts poorer glycemic control in children with new-onset type 1 diabetes

OBJECTIVE

To examine cross-sectional and longitudinal associations among parenting styles (ie, authoritative, authoritarian, and permissive) and youth glycated hemoglobin (HbA1c) in a cohort of families of children with new-onset type 1 diabetes (T1D).

METHODS

One-hundred two parents completed a baseline measure of parenting style, and we collected child HbA1c values at baseline and at three- and six-month follow-ups. We examined correlations among use of different parenting strategies and child HbA1cs. We conducted multiple regressions to assess the impact of these strategies on child HbA1c at three-month and six-month follow-ups, while controlling for baseline HbA1c, family income, and T1D duration.

RESULTS

Correlational analyses showed negative associations between authoritative strategies and child HbA1c at baseline, three-month, and six-month assessments and positive associations between authoritarian strategies and child HbA1c at three-month and six-month assessments. Regression analyses found use of authoritarian-like strategies were the only parenting strategies associated with child HbA1c at three-month and six-month follow-ups, while controlling for baseline HbA1c, family income, and T1D duration.

CONCLUSION

Parents' use of authoritarian-like strategies may negatively impact glycemic control over the course of six-month in children with new-onset T1D.

A systematic review of non-genetic predictors and genetic factors of glycated haemoglobin in type 1 diabetes one year after diagnosis

Type 1 diabetes (T1D) results from autoimmune destruction of the pancreatic βcells. Although all T1D patients require daily administration of exogenous insulin, their insulin requirement to achieve good glycaemic control may vary significantly. Glycated haemoglobin (HbA1c) level represents a stable indicator of glycaemic control and is a reliable predictor of long-term complications of T1D. The purpose of this article is to systematically review the role of non-genetic predictors and genetic factors of HbA1c level in T1D patients after the first year of T1D, to exclude the honeymoon period. A total of 1974 articles published since January 2011 were identified and 78 were finally included in the analysis of non-genetic predictors. For genetic factors, a total of 277 articles were identified and 14 were included. The most significantly associated factors with HbA1c level are demographic (age, ethnicity, and socioeconomic status), personal (family characteristics, parental care, psychological traits...) and features related to T1D (duration of T1D, adherence to treatment …). Only a few studies have searched for genetic factors influencing HbA1c level, most of which focused on candidate genes using classical genetic statistical methods, with generally limited power and incomplete adjustment for confounding factors and multiple testing. Our review shows the complexity of explaining HbA1c level variations, which involves numerous correlated predictors. Overall, our review underlines the lack of studies investigating jointly genetic and non-genetic factors and their interactions to better understand factors influencing glycaemic control for T1D patients.

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.

The Distribution of Different Types of Diabetes in Childhood: A Single Center Experience

OBJECTIVE

Type 1 diabetes (T1D) is the most common cause of diabetes in childhood but type 2 diabetes (T2D) and maturity onset diabetes of the young (MODY) are emerging as noteworthy causes of diabetes at young ages. The aim is to determine the distribution, trends and clinical features of the different types of diabetes in childhood in one tertiary center.

METHODS

The records of children and adolescents aged 0-18 years who were diagnosed as “diabetes/persistent hyperglycemia” between January 1999 and December 2016, were reviewed. Clinical and laboratory characteristics of the patients at diagnosis and type of diabetes were recorded.

RESULTS

The mean ± standard deviation age of 835 patients (48.7% females) at diagnosis was 8.8±4.4 years. Eighty-four percent of the patients were diagnosed as T1D, 5.7% as T2D, 5.3% as clinical MODY and 5% as being cases of other types of diabetes. The frequency of diabetic ketoacidosis (DKA) and severe DKA in T1D were 48.4% and 11.6%, respectively. Fourteen patients (29.2%) with T2D presented with ketosis and two of them (4.2%) had DKA at diagnosis. Antibody positivity was 83.1% in T1D and 14.8% in T2D. A statistically significant increase in the frequency of T2D has clearly been demonstrated in recent years with a frequency of 1.9%, 2.4% and 7.9% in 1999-2004, 2005-2010 and 2011-2016, respectively (p<0.001). In MODY, genetic analysis was performed in 26 (59%) patients and HNF1A and GCK gene mutations were detected in 3 (11.5%) and 14 (53.8%) patients, respectively.

CONCLUSION

Although the most frequent cause of DM is T1D in childhood, a trend towards increase in the frequency of T2D in recent years is notable in our population.

Predictors of glycemic control in the first year of diagnosis of childhood onset type 1 diabetes: A systematic review of quantitative evidence

Early glycemic control is associated with reduced future vascular complications risk in type 1 diabetes (T1D). The aim of this study was to systematically review evidence on the predictors of glycemic control within 12 months of diagnosis of childhood onset T1D. Inclusion criteria for the electronic search were: interventional and observational studies that assessed and quantified an association between the predictor and glycemic control within 12 months of diagnosis of childhood onset T1D. A total of 17 915 articles were identified from 6 databases and 20 studies were finally included in the analysis. Harvest plots and narrative synthesis were used to summarize data from intervention (n = 0), prospective/retrospective cohort (n = 15), and cross-sectional (n = 5) studies. Significant predictors of poorer glycemic control 0 to 3 months after diagnosis were older age and female gender. Non-white ethnicity, diabetes autoantibody positivity, measures of deprivation, and non-private health insurance were potential predictors. Predictors of poorer glycemic control 4 to 12 months after diagnosis were: older age, non-white ethnicity, a single parent family, high hemoglobin A1c (HbA1c) levels at diagnosis, longer T1D duration, and non-intensive insulin therapy. Potential predictors included: family with health issues, clinical factors, and comorbidities at diagnosis. Most significant predictors of poor glycemic control within 12 months of diagnosis of childhood onset T1D are non-modifiable. These factors need to be recognized and addressed through individualized and multidisciplinary diabetes care. Further research is required to confirm the association of potential predictors with early glycemic control.

Serum undercarboxylated osteocalcin correlates with hemoglobin A1c in children with recently diagnosed pediatric diabetes

BACKGROUND

Osteocalcin (OC), a hormone secreted by osteoblasts, improves beta-cell function in vitro and in vivo. We aimed to understand the relationship between OC and hemoglobin A1c (HbA1c) in pediatric diabetes.

METHODS

Children (n = 70; mean [SD] age = 11.8 years [3.1]; 34.3% non-Hispanic white, 46.3% Hispanic, 14.9% African-American, 4.5% other) newly diagnosed with diabetes (69.1% type 1 diabetes [T1D], 30.9% type 2 diabetes [T2D]) were studied. We collected clinical data at diagnosis and first clinical visit (V1) 9 weeks later (interquartile range [IQR] = 7.9-12.0). Serum undercarboxylated OC (uOC) and carboxylated OC (cOC) were measured 7.0 weeks (IQR 4.3-8.9) after diagnosis.

RESULTS

Mean [SD] uOC was 20.3 (19.6) ng/mL, cOC 29.7 [13.7] ng/mL and u/cOC 0.68 [0.81]. uOC, cOC, or u/cOC were not different by gender, race/ethnicity, age, diabetes type, BMI percentile, or random C-peptide, glucose or HbA1c at diagnosis. However, among 61 children with V1 within 4 months of diagnosis, uOC was higher in those with V1 HbA1c < 7.5% (HbA1c < 58 mmol/mol) (uOC=33.1 [22.0]) compared with children with HbA1c ≥ 7.5% (uOC=17.4 [2.3], P = .0004). The difference was larger among patients with T2D (34.6 and 4.7 ng/mL, respectively, P = .0001) than T1D (32.2 and 19.3, P = .0169), and in males (36.1 and 17.4, P = .018) than females (27.6 and 17.3, P = .072). Analysis for u/cOC were similar while there were no differences in cOC. uOC was inversely correlated with HbA1c at V1 (Spearman's rho = -0.29, P = .02).

CONCLUSION

Our findings suggest that serum uOC is inversely related to HbA1c shortly after diagnosis of pediatric diabetes. This potentially modifiable factor of glucose metabolism warrants further studies.

High HbA1c at onset cannot be used as a predictor for future metabolic control for the individual child with type 1 diabetes mellitus

BACKGROUND

To study how metabolic control at onset of type 1 diabetes correlates to metabolic control and clinical parameters during childhood until transition from pediatric care to adult diabetes care.

MATERIALS AND METHODS

Data at onset, three months, one, three, and five years after diagnosis and at transition, on HbA1c and clinical parameters, on 8084 patients in the Swedish pediatric quality registry, SWEDIABKIDS, were used. Of these patients, 26% had been referred to adult diabetes care by 2014.

RESULTS

Children with HbA1c < 72 mmol/mol (8.7%) (20% of patients, low group) at diagnosis continued to have good metabolic control during childhood, in contrast to children with HbA1c > 114 mmol/mol (12.6%) (20% of patients, high group) at diagnosis, who continued to have high HbA1c at follow-up. For the individual, there was no significant correlation between high HbA1c at onset and during follow-up. During follow-up, children in the high group were more often smokers, less physically active, and more often had retinopathy than children in the low group (P < .01, .01, .03 respectively).

CONCLUSION

High HbA1c at onset was associated with high HbA1c during follow-up on a group level, but it cannot be used as a predictor of future metabolic control on an individual level. These results emphasize the important work done by the diabetes team in the first years after diagnosis. It is important to continuously set high goals for the achievement of tight metabolic control, in order to decrease the risk of microvascular complications.

Recovery of premorbid BMI trajectory without overshoot during the first year of treatment of children with type 1 diabetes

OBJECTIVE

To study body mass index (BMI) changes and metabolic control in children and adolescents during the first year following the diagnosis of type 1 diabetes.

RESEARCH DESIGN AND METHODS

200 children and adolescents (<18 years) diagnosed with type 1 diabetes, started on multiple injection treatment and followed up for 1 year were studied with respect to metabolic control and weight change. Growth curves preceding the onset of diabetes were procured from the school health services. BMI was recalculated into BMI SD scores (BMISDS).

RESULTS

Glycated hemoglobin (HbA1c) at 1 year was 6.7±1.3% (50±10 mmol/mol). HbA1c was positively correlated with daily insulin dose (R(2)=0.13; p<0.001), negatively correlated with age (R(2)=0.03; p<0.05) but not related to gender, BMISDS at 1 year, HbA1c at presentation, or ketoacidosis at presentation. Prior to the onset of diabetes, BMISDS was 0.41±1.20 and decreased to -0.63±1.25 at presentation. BMISDS at 1 year was 0.54±0.97 and not different from the premorbid value (p>0.05). In a multiple regression analysis, BMISDS at 1 year was directly proportional to and highly predicted by BMISDS prior to onset of diabetes (R(2)=0.57; p<0.001). BMISDS at 1 year was also inversely correlated with age (R(2)=0.03; p<0.001) but could not be predicted by gender, daily insulin dose, HbA1c at 1 year, HbA1c at presentation, or by ketoacidosis at presentation.

CONCLUSIONS

During the first year of treatment of type 1 diabetes in children and adolescents, it is possible to achieve good metabolic control without excess weight gain.

Ketoacidosis at diagnosis in childhood-onset diabetes and the risk of retinopathy 20years later

AIMS

To investigate on the relationship between severity of ketoacidosis, an important risk factor for C-peptide preservation, and long-term microvascular complications in childhood-onset type 1 diabetes mellitus (T1DM).

METHODS

230 childhood-onset diabetic patients (177 pre-pubertal), aged 7.0±3.8years followed for at least 15years after their diagnosis, were enrolled. Clinical and laboratory data at diagnosis, and C-peptide levels in a subset of patients, were compared with the severity of retinopathy and nephropathy, after a mean of 19.6±3.8years of disease. Digital retinal photographs were taken in all patients, and centrally graded. Repeated measurements of HbA1c and microalbuminuria for the whole duration of diabetes were collected in over half of the cases.

RESULTS

Out of 230 patients, those with the lowest age at diagnosis had the most severe DKA and clinical conditions (p<0.05), and lower C-peptide levels (p<0.0001) at diagnosis. There was a significant relationship between pH and clinical severity (r=-0.783, p<0.0001), and between pH and C-peptide levels (r=0.278, p<0.05). The severity of ketoacidosis had no relationship with subsequent lifetime HbA1c values and long-term microvascular complications. In logistic regression analysis, the only variables that independently influenced severity of retinopathy were lifetime HbA1c (B=0.838, p<0.001), duration of disease (B=0.208, p<0.005) and age at diagnosis (B=0.116, p<0.05).

CONCLUSIONS

The degree of metabolic derangement at diagnosis is not associated with retinopathy and nephropathy in childhood-onset T1DM. Age at diagnosis seems to be an important variable to be considered when evaluating the long-term effects of residual beta-cell function.

Quality of care in rural youth with type 1 diabetes: a cross-sectional pilot assessment

BACKGROUND

Type 1 diabetes mellitus (T1DM) presents a significant health burden for patients and families. The quality of care (QOC) among those living in rural communities is thought to be subpar compared with those in urban communities; however, little data exist to reflect this, especially in pediatric diabetes.

OBJECTIVE

The purpose of this pilot study was to investigate diabetes QOC among families living in rural versus urban areas. 6 QOC markers were used to compare youth with T1DM: appointment adherence, patient-provider communication, diabetes education during clinic visit, congruency with diabetes standards of care, diabetes self-management behaviors, and diabetes-related hospitalizations.

RESEARCH DESIGN AND METHODS

Participants were rural or urban adult caregivers of youth ages 2-18 with ≥10-month history of T1DM receiving treatment at Seattle Children's Hospital, USA. Participants were from rural areas of central Washington, or urban areas of western Washington. Caregivers completed a 26-item survey pertaining to the 6 QOC markers. The 6 QOC markers were compared across 61 participants (34 rural, 27 urban), to determine how diabetes care quality and experiences differed. Data were collected over 12 months. Groups were compared using t-tests and χ² tests, as appropriate.

RESULTS

Compared with urban families, rural families reported significantly lower income and a 4-fold greater usage of public insurance. Among the QOC measures, rural participants were significantly worse off in the appointment adherence, patient-provider communication, and hospitalizations categories. Congruence with diabetes standards of care (foot care only) was also significantly poorer in rural participants.

CONCLUSIONS

The burden of travel in conjunction with the lack of resources in this rural population of families with T1DM youth is cause for concern and warrants further research.

The changing face of diabetes in youth: lessons learned from studies of type 2 diabetes

The incidence of youth type 2 diabetes (T2D), linked with obesity and declining physical activity in high-risk populations, is increasing. Recent multicenter studies have led to a number of advances in our understanding of the epidemiology, pathophysiology, diagnosis, treatment, and complications of this disease. As in adult T2D, youth T2D is associated with insulin resistance, together with progressive deterioration in β cell function and relative insulin deficiency in the absence of diabetes-related immune markers. In contrast to adult T2D, the decline in β cell function in youth T2D is three- to fourfold faster, and therapeutic failure rates are significantly higher in youth than in adults. Whether the more aggressive nature of youth T2D is driven by genetic heterogeneity or physiology/metabolic maladaptation is yet unknown. Besides metformin, the lack of approved pharmacotherapeutic agents for youth T2D that target the pathophysiological mechanisms is a major barrier to optimal diabetes management. There is a significant need for effective therapeutic options, in addition to increased prevention, to halt the projected fourfold increase in youth T2D by 2050 and the consequences of heightened diabetes-related morbidity and mortality at younger ages.

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

OBJECTIVE

To examine the current extent of the obesity problem in 2 large pediatric clinical registries in the US and Europe and to examine the hypotheses that increased body mass index (BMI) z-scores (BMIz) are associated with greater hemoglobin A1c (HbA1c) and increased frequency of severe hypoglycemia in youth with type 1 diabetes (T1D).

STUDY DESIGN

International (World Health Organization) and national (Centers for Disease Control and Prevention/German Health Interview and Examination Survey for Children and Adolescents) BMI references were used to calculate BMIz in participants (age 2-<18 years and ≥ 1 year duration of T1D) enrolled in the T1D Exchange (n = 11,435) and the Diabetes Prospective Follow-up (n = 21,501). Associations between BMIz and HbA1c and severe hypoglycemia were assessed.

RESULTS

Participants in both registries had median BMI values that were greater than international and their respective national reference values. BMIz was significantly greater in the T1D Exchange vs the Diabetes Prospective Follow-up (P < .001). After stratification by age-group, no differences in BMI between registries existed for children 2-5 years, but differences were confirmed for 6- to 9-, 10- to 13-, and 14- to 17-year age groups (all P < .001). Greater BMIz were significantly related to greater HbA1c levels and more frequent occurrence of severe hypoglycemia across the registries, although these associations may not be clinically relevant.

CONCLUSIONS

Excessive weight is a common problem in children with T1D in Germany and Austria and, especially, in the US. Our data suggest that obesity contributes to the challenges in achieving optimal glycemic control in children and adolescents with T1D.

A decade of temporal trends in overweight/obesity in youth with type 1 diabetes after the Diabetes Control and Complications Trial

BACKGROUND

Youth with type 1 diabetes (T1D) are at risk for weight gain due to the epidemic of childhood overweight/obesity and common use of intensive insulin therapy; the latter resulted in weight gain in the Diabetes Control and Complications Trial.

OBJECTIVE

To assess overweight/obesity prevalence and intensive insulin therapy use in youth with T1D over a decade and identify factors associated with weight status and glycemic control.

METHODS

We obtained cross-sectional data from four unique cohorts (1999, 2002, 2006, and 2009). Youth (N = 507, 49% male) were 8-16 yr old with T1D duration ≥6 months, A1c 6.0-12.0% (42-108 mmol/mol), and daily insulin dose ≥0.5 U/kg.

RESULTS

Across cohorts, age, body mass index (BMI) percentile, and A1c ranged from 12.0 ± 2.2 to 12.8 ± 2.3 yr, 70 ± 22 to 72 ± 21, and 8.3 ± 1.0 (67 ± 11) to 8.5 ± 1.1% (69 ± 12 mmol/mol), respectively. Intensive insulin therapy use increased from 52 to 97% (p < 0.001) between 1999 and 2009. However, prevalence of overweight/obesity remained similar, 27% (1999), 36% (2002), 33% (2006), and 31% (2009) (p = 0.54), as did z-BMI. In multivariate analysis, higher A1c was related to higher insulin dose (p < 0.01), less frequent blood glucose monitoring (p < 0.001), and non-white race (p < 0.001); A1c was not related to z-BMI, intensive insulin therapy, or cohort. z-BMI was related to insulin dose (p < 0.005) but not intensive insulin therapy or cohort.

CONCLUSIONS

Despite near-universal implementation of intensive insulin therapy, overweight/obesity prevalence in youth with T1D remained stable over a decade, similar to the general pediatric population. However, A1c remained suboptimal, underscoring the need to optimize T1D treatment to reduce future complication risk.