Longitudinal Changes in Depression Symptoms and Glycemia in Adults With Type 1 Diabetes

OBJECTIVE

This study assessed longitudinal change in depression symptoms over ≥4 years in adults with type 1 diabetes and examined the association between change in depression symptom status and glycemia.

RESEARCH DESIGN AND METHODS

Adults in the T1D Exchange registry with HbA_1c and Patient Health Questionnaire (PHQ-8) at 1 year (baseline) and 5 years post-enrollment (follow-up; n = 2,744, mean age, 42 years; 57% female, 92% white; mean HbA_1c, 7.6% [58 mmol/mol]) were included. Depression status was defined as Persistent Elevated Depression Symptoms (EDS) (EDS at baseline and follow-up), Resolved EDS (EDS at baseline, no EDS at follow-up), New Onset EDS (no EDS at baseline, EDS at follow-up), and Not Depressed (no EDS at baseline or follow-up).

RESULTS

Overall, 131 (5%) had Persistent EDS, 122 (4%) had Resolved EDS, 168 (6%) had New Onset EDS, and 2,323 (85%) were Not Depressed. Of those with EDS (PHQ ≥ 10) at baseline, 53% had EDS at follow-up; of those not depressed at baseline, 7% had EDS at follow-up. An increase in PHQ-8 was associated with an increase in HbA_1c (P < 0.001). Although HbA_1c increased in all groups, the increase was less in the Resolved EDS and Not Depressed groups (P = 0.001). Persistent EDS and New Onset EDS groups were more likely to experience diabetic ketoacidosis (DKA) (P < 0.001).

CONCLUSIONS

T1D Exchange registry data provide evidence for relationships over time between persistently, and newly developing EDSs and worsening glycemic control, and suggest relationships between depression symptoms and the occurrence of severe hypoglycemia and DKA. Successful treatment of depression symptoms may lead to better long-term diabetes outcomes.

Use of a Smartphone Application to Reduce Hypoglycemia in Type 1 Diabetes: A Pilot Study

BACKGROUND

Hypoglycemia and hypoglycemia unawareness are common in long-standing type 1 diabetes (T1D). This pilot study examined the real-world use of a smartphone application (app), which receives meter readings and logs hypoglycemic symptoms, causes, and treatments to reduce hypoglycemia.

METHODS

Adults with T1D and recent hypoglycemia synchronized their glucose meter to their smartphone and used the Joslin HypoMap™ app powered by Glooko to track hypoglycemic events. At baseline, and after 6 and 12 weeks of using the app, a blinded continuous glucose monitor (CGM; Dexcom G4) was used for 2 weeks and surveys administered.

RESULTS

Participants (n = 22) at baseline had mean (SD) age 43 (14) years, duration of diabetes 26 (13) years, A1c 8.0% (0.87) and 21/22 had reduced hypoglycemia awareness per Clarke Hypoglycemia Unawareness survey scores; 13 (59%) were "CGM completers" (CGM data available at baseline and follow-up). Most noncompletion related to time required/difficulties using the mobile app. After 6 weeks, 8/13 completers (62% of CGM completers, 36% of total participants) had reduced daytime minutes with glucose <54 mg/dL (mean ↓331 minutes) and 10/13 (77% of CGM completers; 45% of total participants) had reduced time ≤ 70 mg/dL (mean ↓449 minutes). This was not sustained at 12 weeks, at which time half of the completers had less time ("improved"). Five participants reported improved hypoglycemia awareness; 9 stated the app helped them better recognize hypoglycemia.

CONCLUSIONS

Use of this phone app has the potential to help reduce daytime hypoglycemia in a subset of T1D adults with reduce hypoglycemia awareness; larger studies are needed.

A Type 1 Diabetes Genetic Risk Score Predicts Progression of Islet Autoimmunity and Development of Type 1 Diabetes in Individuals at Risk

OBJECTIVE

We tested the ability of a type 1 diabetes (T1D) genetic risk score (GRS) to predict progression of islet autoimmunity and T1D in at-risk individuals.

RESEARCH DESIGN AND METHODS

We studied the 1,244 TrialNet Pathway to Prevention study participants (T1D patients' relatives without diabetes and with one or more positive autoantibodies) who were genotyped with Illumina ImmunoChip (median [range] age at initial autoantibody determination 11.1 years [1.2-51.8], 48% male, 80.5% non-Hispanic white, median follow-up 5.4 years). Of 291 participants with a single positive autoantibody at screening, 157 converted to multiple autoantibody positivity and 55 developed diabetes. Of 953 participants with multiple positive autoantibodies at screening, 419 developed diabetes. We calculated the T1D GRS from 30 T1D-associated single nucleotide polymorphisms. We used multivariable Cox regression models, time-dependent receiver operating characteristic curves, and area under the curve (AUC) measures to evaluate prognostic utility of T1D GRS, age, sex, Diabetes Prevention Trial-Type 1 (DPT-1) Risk Score, positive autoantibody number or type, HLA DR3/DR4-DQ8 status, and race/ethnicity. We used recursive partitioning analyses to identify cut points in continuous variables.

RESULTS

Higher T1D GRS significantly increased the rate of progression to T1D adjusting for DPT-1 Risk Score, age, number of positive autoantibodies, sex, and ethnicity (hazard ratio [HR] 1.29 for a 0.05 increase, 95% CI 1.06-1.6; P = 0.011). Progression to T1D was best predicted by a combined model with GRS, number of positive autoantibodies, DPT-1 Risk Score, and age (7-year time-integrated AUC = 0.79, 5-year AUC = 0.73). Higher GRS was significantly associated with increased progression rate from single to multiple positive autoantibodies after adjusting for age, autoantibody type, ethnicity, and sex (HR 2.27 for GRS >0.295, 95% CI 1.47-3.51; P = 0.0002).

CONCLUSIONS

The T1D GRS independently predicts progression to T1D and improves prediction along T1D stages in autoantibody-positive relatives.

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.

The relationship between neuropsychological assessment, numeracy, and functional status in older adults with type 1 diabetes

While data are accumulating on the association between neuropsychological performance and real-world endpoints, less is known about the association with medical self-management skills. The self-management of type 1 diabetes (T1D) is often complex, and mismanagement can result in hypoglycaemia and hyperglycaemia and associated morbidity and mortality. The T1D Exchange conducted a case-control study evaluating factors associated with severe hypoglycaemia in older adults (≥ 60 years old) with longstanding T1D (≥ 20 years). A battery of neuropsychological and functional assessments was administered, including measures of diabetes-specific self-management skill (diabetes numeracy) and instrumental activities of daily living (IADL). After adjusting for confounding variables, diabetes numeracy was related to memory and complex speeded attention; while IADL were associated with simple processing speed, executive functioning, complex speeded attention and dominant hand dexterity. The severity of overall cognitive deficit was uniquely associated with both diabetes numeracy and IADL, when controlling for age, education, frailty and depression. This study demonstrates that the cognitive deficits in older adults with T1D have functional implications for both diabetes management and IADL. Further research is needed to determine specific interventions to maximise diabetes self-management in older adults with declining cognition.

Benefits and barriers to participating in longitudinal research of youth-onset type 2 diabetes: Results from the TODAY retention survey

BACKGROUND/AIMS

Conducting longitudinal research related to chronic illness in adolescents is inherently challenging due to developmental changes and psychosocial stressors. Participants in the Treatment Options for type 2 Diabetes in Adolescents and Youth clinical trial were socioeconomically disadvantaged as well. This study assessed attitudes and beliefs about retention in Treatment Options for type 2 Diabetes in Adolescents and Youth to shed light on the factors that potentially promote and detract from the likelihood of sustained participation.

METHODS

After an average 7.3 years of follow-up (range 4.9-9.5), Treatment Options for type 2 Diabetes in Adolescents and Youth participants completed a survey examining their perceptions of the benefits and barriers to sustained involvement in the protocol.

RESULTS

The most common reasons for staying in Treatment Options for type 2 Diabetes in Adolescents and Youth included having a strong relationship with the medical team, getting study-provided diabetes care, access to free diabetes medicine and supplies, and being part of a large study to learn more about how to care for youth-onset type 2 diabetes. The most commonly endorsed challenges included scheduling conflicts, possibly disappointing others, difficulties getting to study visits, and the occurrence of other medical issues.

CONCLUSIONS

Similar to other published reports, a supportive relationship with study staff was commonly endorsed as a benefit of engagement in the longitudinal study, suggesting that rapport, staff consistency, and relationship quality are important components of optimal retention. Moreover, our findings suggest the value of trying to remove logistical barriers, such as transportation and scheduling challenges, in order to promote long-term participation in research. Further research is recommended to evaluate factors that contribute to attrition versus retention in an a priori manner within longitudinal studies, especially protocols involving cohorts that are more vulnerable to attrition due to developmental transitions and/or socioeconomic challenges. Additional efforts to optimize quantitative and qualitative measurement of barriers would also help to expand our understanding of how to optimally retain participants in longitudinal protocols.

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.