Eating patterns and food intake of persons with type 1 diabetes within the T1D exchange.

AIMS: To identify dietary intake and eating patterns of people with type 1 diabetes from childhood to later adulthood in relation to HbA1c. METHODS: Trained interviewers conducted 24-hour recalls via phone utilizing a multiple pass approach and administered two nutrition questionnaires; 463 participants (or parents of participants) within the T1D Exchange clinic registry were included. Participants were 5 to 81 years with 80-101 participants in five age groups; 56% were female, and 92% were white, with a median diabetes duration of 11.1 years and a median HbA1c of 7.4% [57 mmol/mol]). RESULTS: Those with type 1 diabetes consumed less calories from carbohydrates and more from fats and protein than those in the general population, based on the National Health and Nutrition Examination Survey data. Carbohydrate intake was not correlated with HbA1c levels. Increased fiber intake, more eating occasions, higher Healthy Eating Index scores, and higher nutrition knowledge scores were each associated with lower HbA1c levels. CONCLUSIONS: Food intake, eating patterns and nutrition knowledge are associated with glycemic control across a registry-based cohort of adults and children with type 1 diabetes. Additionally, these data can inform the design of future studies to advance our understanding of nutritional influences on type 1 diabetes self-care and control.

Optimal Sampling Duration for Continuous Glucose Monitoring to Determine Long-Term Glycemic Control.

OBJECTIVE: To determine the minimum sample of continuous glucose monitoring (CGM) data needed to accurately reflect 3 months of glycemic control. RESEARCH DESIGN AND METHODS: Three months of CGM data were collected on 257 individuals (age 10-78 years) with type 1 diabetes in two studies (one using the Abbott FreeStyle Libre Pro™ and the other using the Dexcom™ G4). Correlations were calculated between the full 3 months and incremental sampling periods of CGM data. RESULTS: Correlation to the full 3 months of data improved with an increasing number of days of data collection, plateauing by about 14 days, with an R2 value of 0.84-0.86 for mean glucose, time at 70-180 mg/dL, and time >180 mg/dL, with lower values for time <70 mg/dL (0.76) and coefficient of variation (0.70). CONCLUSIONS: Fourteen days of CGM data provide a good estimation of glucose metrics for a 3-month period.

The Fallacy of Average: How Using HbA1c Alone to Assess Glycemic Control Can Be Misleading.

HbA1c is a valuable metric for comparing treatment groups in a randomized trial, for assessing glycemic trends in a population over time, or for cross-sectional comparisons of glycemic control in different populations. However, what is not widely appreciated is that HbA1c may not be a good indicator of an individual patient's glycemic control because of the wide range of mean glucose concentrations and glucose profiles that can be associated with a given HbA1c level. To illustrate this point, we plotted mean glucose measured with continuous glucose monitoring (CGM) versus central laboratory-measured HbA1c in 387 participants in three randomized trials, showing that not infrequently HbA1c may underestimate or overestimate mean glucose, sometimes substantially. Thus, if HbA1c is to be used to assess glycemic control, it is imperative to know the patient's actual mean glucose to understand how well HbA1c is an indicator of the patient's glycemic control. With knowledge of the mean glucose, an estimated HbA1c (eA1C) can be calculated with the formula provided in this article to compare with the measured HbA1c. Estimating glycemic control from HbA1c alone is in essence applying a population average to an individual, which can be misleading. Thus, a patient's CGM glucose profile has considerable value for optimizing his or her diabetes management. In this era of personalized, precision medicine, there are few better examples with respect to the fallacy of applying a population average to a specific patient rather than using specific information about the patient to determine the optimal approach to treatment.

Racial Differences in the Relationship of Glucose Concentrations and Hemoglobin A1c Levels.

Background: Debate exists as to whether the higher hemoglobin A1c (HbA1c) levels observed in black persons than in white persons are due to worse glycemic control or racial differences in the glycation of hemoglobin. Objective: To determine whether a racial difference exists in the relationship of mean glucose and HbA1c. Design: Prospective, 12-week observational study. Setting: 10 diabetes centers in the United States. Participants: 104 black persons and 104 white persons aged 8 years or older who had had type 1 diabetes for at least 2 years and had an HbA1c level of 6.0% to 12.0%. Measurements: Mean glucose concentration, measured by using continuous glucose monitoring and compared by race with HbA1c, glycated albumin, and fructosamine values. Results: The mean HbA1c level was 9.1% in black persons and 8.3% in white persons. For a given HbA1c level, the mean glucose concentration was significantly lower in black persons than in white persons (P = 0.013), which was reflected in mean HbA1c values in black persons being 0.4 percentage points (95% CI, 0.2 to 0.6 percentage points) higher than those in white persons for a given mean glucose concentration. In contrast, no significant racial differences were found in the relationship of glycated albumin and fructosamine levels with the mean glucose concentration (P > 0.20 for both comparisons). Limitation: There were too few participants with HbA1c levels less than 6.5% to generalize the results to such individuals. Conclusion: On average, HbA1c levels overestimate the mean glucose concentration in black persons compared with white persons, possibly owing to racial differences in the glycation of hemoglobin. However, because race only partially explains the observed HbA1c differences between black persons and white persons, future research should focus on identifying and modifying barriers impeding improved glycemic control in black persons with diabetes. Primary Funding Source: Helmsley Charitable Trust.

Type 1 diabetes in older adults: Comparing treatments and chronic complications in the United States T1D Exchange and the German/Austrian DPV registries.

AIMS: Compare characteristics, therapies and clinical outcomes in older adults with type 1 diabetes in the United States T1D Exchange (T1DX) and German/Austrian Diabetes Patienten Verlaufsdokumentation (DPV) registries. METHODS: Cross-sectional study of adults ≥60years old with type 1 diabetes seen in 2011-2012 in the T1DX (n=1283) and DPV (n=2014) registries. Wilcoxon rank-sum test was used for continuous variables and chi-square test for categorical variables. Adjusted analyses used generalized linear models. RESULTS: Individuals in both registries were similar in body mass index (mean 27kg/m2), percent with obesity (25%) and gender (48% male). In T1DX there was longer diabetes duration (32.3 vs. 28.8years), greater use of antihypertensive medications (including ACE-I and ARBs; 85% vs. 62%), statins (68% vs. 40%), aspirin (77% vs. 21%), insulin pumps (58% vs. 18%), and less smoking (7% vs. 10%); lower adjusted mean LDL-cholesterol (84 vs. 109mg/dL), and lower adjusted mean systolic and diastolic blood pressures (128 vs. 136 and 68 vs. 74mmHg); fewer myocardial infarctions (6% vs. 9% [99% CI of difference, 1% to 5%]), strokes (2% vs. 8% [3% to 7%]), microvascular complications including microalbuminuria (17% vs. 44% [22% to 32%]) but increased depression (16.1% vs. 8.7%). Adjusted mean HbA1c levels were similar (7.5%, 58mmol/mol). CONCLUSIONS: Differences between the registries included greater use of antihypertensives, statins and insulin pumps, and fewer chronic complications in the T1DX. Further research is needed to better understand the role of intensive therapy in improving outcomes in older adults with type 1 diabetes.

Vitamin D status in youth with type 1 and type 2 diabetes enrolled in the Pediatric Diabetes Consortium (PDC) is not worse than in youth without diabetes.

OBJECTIVE: To describe vitamin D levels and prevalence of vitamin D sufficiency, insufficiency and deficiency in a large, ethnically/racially diverse population of youth with type 1 diabetes (T1D) and type 2 diabetes (T2D) in comparison to national data and examine the associations between clinical/demographic factors and vitamin D levels. METHODS: 25-hydroxy vitamin D (25OHD) levels were measured in 215 youth with T1D and 326 youth with T2D enrolled in the Pediatric Diabetes Consortium (PDC). These levels were compared with those of youth of the same age without diabetes from the 2005-2006 NHANES Survey. RESULTS: Vitamin D deficiency (<21 ng/mL) was present in 36% of PDC participants, and insufficiency (21-29 ng/mL) was present in an additional 34%. About 36% of age-matched youth in the NHANES Survey were vitamin D deficient and an additional 41% were insufficient. Deficiency or insufficiency varied by race/ethnicity, being highest in African-Americans (86%), intermediate in Hispanics (77%), and lowest in non-Hispanic whites (47%). Lower 25OHD levels were observed in African-American and Hispanic youth, during fall and winter, and at sites in the northern United States (all p-values < 0.001). Youth with T2D had significantly lower 25OHD levels than youth with T1D (p < 0.001), but this difference was largely eliminated after adjusting for race/ethnicity and socio-economic status. CONCLUSIONS: Vitamin D deficiency/insufficiency is present in a substantial proportion of youth with diabetes, particularly minorities, but the prevalence appears similar to that in youth without diabetes. Further studies are needed to examine whether youth with diabetes would benefit from vitamin D supplementation.

Association of Baseline Visual Acuity and Retinal Thickness With 1-Year Efficacy of Aflibercept, Bevacizumab, and Ranibizumab for Diabetic Macular Edema.

IMPORTANCE: Comparisons of the relative effect of 3 anti-vascular endothelial growth factor agents to treat diabetic macular edema warrant further assessment. OBJECTIVE: To provide additional outcomes from a randomized trial evaluating 3 anti-vascular endothelial growth factor agents for diabetic macular edema within subgroups based on baseline visual acuity (VA) and central subfield thickness (CST) as evaluated on optical coherence tomography. DESIGN, SETTING, AND PARTICIPANTS: Post hoc exploratory analyses were conducted of randomized trial data on 660 adults with diabetic macular edema and decreased VA (Snellen equivalent, approximately 20/32 to 20/320). The original study was conducted between August 22, 2012, and August 28, 2013. Analysis was conducted from January 7 to June 2, 2015. INTERVENTIONS: Repeated 0.05-mL intravitreous injections of 2.0 mg of aflibercept (224 eyes), 1.25 mg of bevacizumab (218 eyes), or 0.3 mg of ranibizumab (218 eyes) as needed per protocol. MAIN OUTCOMES AND MEASURES: One-year VA and CST outcomes within prespecified subgroups based on both baseline VA and CST thresholds, defined as worse (20/50 or worse) or better (20/32 to 20/40) VA and thicker (≥400 µm) or thinner (250 to 399 µm) CST. RESULTS: In the subgroup with worse baseline VA (n = 305), irrespective of baseline CST, aflibercept showed greater improvement than bevacizumab or ranibizumab for several VA outcomes. In the subgroup with better VA and thinner CST at baseline (61-73 eyes across 3 treatment groups), VA outcomes showed little difference between groups; mean change was +7.2, +8.4, and +7.6 letters in the aflibercept, bevacizumab, and ranibizumab groups, respectively. However, in the subgroup with better VA and thicker CST at baseline (31-43 eyes), there was a suggestion of worse VA outcomes in the bevacizumab group; mean change from baseline to 1 year was +9.5, +5.4, and +9.5 letters in the aflibercept, bevacizumab, and ranibizumab groups, respectively, and VA letter score was greater than 84 (approximately 20/20) in 21 of 33 (64%), 7 of 31 (23%), and 21 of 43 (49%) eyes, respectively. The adjusted differences and 95% CIs were 39% (17% to 60%) for aflibercept vs bevacizumab, 25% (5% to 46%) for ranibizumab vs bevacizumab, and 13% (-8% to 35%) for aflibercept vs ranibizumab. CONCLUSIONS AND RELEVANCE: These post hoc secondary findings suggest that for eyes with better initial VA and thicker CST, some VA outcomes may be worse in the bevacizumab group than in the aflibercept and ranibizumab groups. Given the exploratory nature of these analyses and the small sample size within subgroups, caution is suggested when using the data to guide treatment considerations for patients. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT01627249.

Presentation of youth with type 2 diabetes in the Pediatric Diabetes Consortium.

OBJECTIVE: Type 2 diabetes (T2D) in youth is recognized as a pediatric disease, but few reports describe the characteristics during diagnosis. We describe the clinical presentation of 503 youth with T2D. METHODS: The Pediatric Diabetes Consortium (PDC) T2D Clinic Registry enrolled T2D participants from eight pediatric diabetes centers in the USA. Clinical and laboratory characteristics at the time of diagnosis were analyzed. RESULTS: In total 67% presented with symptoms of diabetes and confirming laboratory data, but 33% were identified by testing at risk children, 11% presented with diabetic ketoacidosis (DKA), and 2% with hyperglycemic hyperosmolar state (HHS). The mean age was 13.1 ± 2.3 yr (range, 4.6-19.8 yr) with 38 (8%) less than 10 yr of age at diagnosis. The majority was female (65%), Hispanic (54%) and had a family history of T2D (92%). The median body mass index (BMI) z-score was 2.3 (interquartile range 2.0-2.6). Fewer than half (46%) lived with both parents, only 30% had parents with education beyond high school, and 43% lived in a household with an income of <$25 000 per year. In the initial month after diagnosis, almost all (92%) were treated with insulin (30%), metformin (31%), or a combination of insulin and metformin (32%); 7% were treated with lifestyle modification alone. CONCLUSIONS: The demographics of T2D in youth indicate significant social vulnerability which may affect outcomes. Metformin and insulin were the initial treatment in most youth. Importantly, T2D may occur at younger ages than previously thought and should be considered in all high-risk children presenting with diabetes.

C-peptide levels in pediatric type 2 diabetes in the Pediatric Diabetes Consortium T2D Clinic Registry.

OBJECTIVE: To describe C-peptide levels in a large cohort of children with type 2 diabetes T2D and examine associations with demographic and clinical factors. METHODS: The Pediatric Diabetes Consortium (PDC) T2D Registry has collected clinical and biologic data from youth with T2D cared for at eight US Pediatric Diabetes Centers. In this study, we assessed C-peptide levels in 331 youth with T2D (mean age, 16.1 ± 2.5 yr; median T2D duration, 2.4 yr). RESULTS: Median (interquartile range) for 90 fasted C-peptide measurements was 3.5 ng/mL (2.3-4.8 ng/mL) [1.2 nmol/L (0.8-1.6 nmol/L)] and for 241 random non-fasted C-peptide measurements were 4.2 ng/mL (2.6-7.0 ng/mL) [1.4 nmol/L (0.9-2.3 nmol/L)]. C-peptide levels were lower with insulin therapy (p < 0.001), lower body mass index (p < 0.001), hemoglobin A1c (HbA1c) ≥9% (p < 0.001), and T2D duration ≥ 6 yr (p = 0.04). Among those with duration ≥6 yr being treated with insulin and with a HbA1c level ≥9.0% (75 mmol/L), 75% of the fasted and 80% of the non-fasted C-peptide values were above 0.2 nmol/L. CONCLUSIONS: In youth with T2D, a decline in C-peptide is associated with deterioration of metabolic control and the need for insulin treatment. C-peptide levels decrease over time. However, even insulin-treated patients with 6 or more years of T2D and elevated HbA1c levels retain substantial endogenous insulin secretion.

Body mass index changes in youth in the first year after type 1 diabetes diagnosis.

OBJECTIVES: To describe changes in weight and body mass index (BMI) during the first year following diagnosis of type 1 diabetes (T1D) and associations with demographic and clinical characteristics. STUDY DESIGN: The Pediatric Diabetes Consortium includes 7 US centers with prospective longitudinal data from initial T1D diagnosis. This analysis includes 530 youth with diabetes duration of ≥1 year and measures of BMI at 3 and 12 months after diagnosis. BMI trajectory of participants and relationships between the change in BMI z-score from baseline (3 months) to 12 months with demographic characteristics, hemoglobin A1c at baseline, and insulin delivery mode at baseline were evaluated. RESULTS: As a group, BMI z-scores increased sharply from diagnosis for 1-3 months but remained relatively stable from +0.51 at 3 months to +0.48 at 12 months. Children aged 2-<5 years experienced a significant positive change in BMI z-score between 3 and 12 months, and there was a similar trend among girls that did not reach statistical significance. No significant differences were found for race, socioeconomic status, or insulin delivery mode. CONCLUSIONS: These data suggest that increased BMI during the first year of treatment of most youth with T1D reflects regain of weight lost before diagnosis. There is, however, a propensity toward additional weight gain in younger children and girls.

Pediatric diabetes consortium T1D New Onset (NeOn) study: clinical outcomes during the first year following diagnosis.

OBJECTIVE: There have been few prospective, multicenter studies investigating the natural history of type 1 diabetes (T1D) from the time of diagnosis. The objective of this report from the Pediatric Diabetes Consortium (PDC) T1D New Onset (NeOn) study was to assess the natural history and clinical outcomes in children during the first year after diagnosis of T1D. RESEARCH DESIGN AND METHODS: Clinical measures from the first year following diagnosis were analyzed for 857 participants (mean age 9.1 yr, 51% female, 66% non-Hispanic White) not participating in an intervention study who had a HbA1c result at 12 months. RESULTS: Mean HbA1c ± SD was 102 ± 25 mmol/mol (11.4 ± 2.3%) at diagnosis, 55 ± 12 mmol/mol (7.2 ± 1.1%) at 3 months, 56 ± 15 mmol/mol (7.3 ± 1.3%) at 6 months and 62 ± 16 mmol/mol (7.8 ± 1.5%) at 12 months from diagnosis. A severe hypoglycemic (SH) event occurred in 31 (4%) participants (44 events, 5.2 events per 100 person-years). Diabetic ketoacidosis (DKA) not including diagnosis occurred in 10 (1%) participants (13 events, 1.5 events per 100 person-years). CONCLUSIONS: After onset of T1D, mean HbA1c reaches its nadir at 3-6 months with a gradual increase through 12 months. SH and DKA are uncommon but still occur during the first year with T1D. Data from large cohorts, such as the PDC T1D NeOn study, provide important insights into the course of T1D during the first year following diagnosis, which will help to inform the development of models to target future interventions.

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

OBJECTIVE: To identify determinants of hemoglobin A1c (HbA1c) levels 1 yr after the diagnosis of type 1 diabetes (T1D) in participants in the Pediatric Diabetes Consortium (PDC) T1D New Onset (NeOn) Study. RESEARCH DESIGN AND METHODS: Diabetes-specific as well as socioeconomic factors during the first year following diagnosis were analyzed in 857 participants (mean age 9.1 yrs, 51% female, 66% non-Hispanic White) not participating in an intervention study who had an HbA1c value at 12 months. RESULT: Mean ± SD HbA1c at 1 yr was 62 ± 16 mmol/mol (7.8% ± 1.5). In univariate and multivariate analyses, clinical center, non-Hispanic White race, private health insurance, living with both parents, higher frequency of self-monitoring of blood glucose (SMBG), and lower insulin requirements were associated with lower HbA1c concentrations at 1 yr (p < 0.01). No association was found with gender, age, Tanner stage, body mass index (BMI), diabetic ketoacidosis (DKA) at onset, number of positive autoantibodies or HbA1c at onset, or number of visits to diabetes physician during the first year. CONCLUSIONS: White race, higher socioeconomic status, two-parent household, more frequent SMBG, and low insulin requirements are associated with lower HbA1c concentration 1 yr after the onset of T1D in children.

Race, socioeconomic status, and treatment center are associated with insulin pump therapy in youth in the first year following diagnosis of type 1 diabetes.

BACKGROUND: Increasing numbers of children and adolescents with type 1 diabetes (T1D) have been placed on insulin pump therapy. Nevertheless, data are limited regarding patterns of pump use during the first year of treatment and the clinical and socioeconomic factors associated with early use of pump therapy. Therefore, we sought to determine factors associated with pump therapy within the first year of diagnosis in youth enrolled in the Pediatric Diabetes Consortium (PDC) T1D New-Onset (NeOn) Study. SUBJECTS AND METHODS: The NeOn Study includes youth <19 years old at T1D diagnosis who have been followed from the time of diagnosis at seven U.S. pediatric diabetes centers. Cox regression was used to determine factors associated with transition from injection to pump therapy during the first year of T1D in 1,012 participants. RESULTS: Twenty-seven percent (n=254) of participants began pump therapy within the first year of diagnosis, ranging from 18% to 59% among the seven centers. After adjusting for center effect, factors associated with pump use in multivariate analysis included private health insurance (37% vs. 7%; P<0.001), having annual household income over $100,000 (50% vs. 15%; P<0.001), and non-Hispanic white race (36% vs. 11%; P<0.001). The hemoglobin A1c level did not appear to influence the decision to initiate pump use. CONCLUSIONS: Participants of non-Hispanic white race and higher socioeconomic status were more likely to be placed on pumps during the first year. Further investigations are needed to gain a better understanding of barriers to use of pumps in youth with T1D, especially in disadvantaged and minority families.