Context Diabetes mellitus is associated with increased COVID-19 morbidity and mortality, but there is little data focusing on outcomes in people with type 1 diabetes. Objective The objective of this study was to analyze characteristics of adults with type 1 diabetes for associations with COVID-19 hospitalization. Design An observational multi-site cross-sectional study was performed. Diabetes providers answered a 33-item questionnaire regarding demographics, symptoms, and diabetes- and COVID-19-related care and outcomes. Descriptive statistics were used to describe the study population, and multivariate logistic regression models were used to analyze the relationship between HbA1c, age, and comorbidities and hospitalization. Setting Cases were submitted from 52 US sites between March and August 2020. Patients or Other Participants Adults over the age of 19 with type 1 diabetes and confirmed COVID-19 infection were included. Interventions None. Main Outcome Measures Hospitalization for COVID-19 infection. Results A total of 113 cases were analyzed. Fifty-eight patients were hospitalized, and five patients died. Patients who were hospitalized were more likely to be older, to identify as non-Hispanic Black, to use public insurance, or to have hypertension, and less likely to use continuous glucose monitoring or insulin pumps. Median HbA1c was 8.6% (70 mmol/mol) and was positively associated with hospitalization (OR 1.42, 95% CI 1.18-1.76), which persisted after adjustment for age, sex, race, and obesity. Conclusions Baseline glycemic control and access to care are important modifiable risk factors which need to be addressed to optimize care of people with type 1 diabetes during the worldwide COVID-19 pandemic.

Background: The benefits of Continuous Glucose Monitoring (CGM) on glycemic management have been demonstrated in numerous studies; however, widespread uptake remians limited. The aim of this study was to provide real-world evidence of patient attributes and clinical outcomes associated with CGM use across clinics in the U.S. based T1D Exchange Quality Improvement (T1DX-QI) Collaborative. Method: We examined electronic Health Record data from eight endocrinology clinics participating in the T1DX-QI Collaborative during the years 2017-2019. Results: Among 11,469 type 1 diabetes patients, 48% were CGM users. CGM use varied by race/ethnicity with Non-Hispanic Whites having higher rates of CGM use (50%) compared to Non-Hispanic Blacks (18%) or Hispanics (38%). Patients with private insurance were more likely to use CGM (57.2%) than those with public insurance (33.3%) including Medicaid or Medicare. CGM users had lower median HbA1c (7.7%) compared to nonusers (8.4%). Rates of diabetic ketoacidosis (DKA) and severe hypoglycemia were significantly higher in nonusers compared to CGM users. Conclusion: In this real-world study of patients in the T1DX-QI Collaborative, CGM users had better glycemic control and lower rates of DKA and severe hypoglycemia (SH) events, compared to nonusers; however, there were significant sociodemographic disparities in CGM use. Quality improvement and advocacy measures to promote widespread and equitable CGM uptake have the potential to improve clinical outcomes.

Background: Diabetes is a risk factor for poor COVID-19 outcomes, but pediatric patients with type 1 diabetes are poorly represented in current studies. Methods: T1D Exchange coordinated a US type 1 diabetes COVID-19 registry.Forty-six diabetes centers submitted pediatric cases for patients with laboratory confirmed COVID-19. Associations between clinical factors and hospitalization were tested with Fisher's Exact Test. Logistic regression was used to calculate odds ratios for hospitalization.

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Exercise is important in the management of type 1 diabetes mellitus (T1DM). Modern diabetes care includes the goal that all youth meet guidelines for regular physical activity. Evidence suggests regular physical activity improves cardiovascular health, lipid profiles, psychosocial wellbeing and, possibly, glycemic control in youth with T1DM. However, exercise is especially problematic for children and adolescents because wide glycemic excursions commonly occur during and after exercise and may increase the risk of severe hypoglycemia. In addition, youth with T1DM have abnormal counterregulatory hormone responses, further increasing the risk of exercise-associated hypoglycemia. Recent studies have demonstrated that this risk is present during, and many hours after exercise, and have tested strategies to prevent exercise-induced hypoglycemia in youth. Despite these recent studies, the fear of hypoglycemia remains a major impediment to achieving target glycemic control in youth, targets that have recently been tightened. Equally, data suggests fear of hypoglycemia is the major impediment to participation in regular daily exercise in T1DM. Recent advances in insulin delivery systems and in real time continuous glucose monitoring have improved care for youth with T1DM, allowing safer participation in exercise programs. The impending development and approval of "closed loop" insulin delivery systems (the artificial pancreas) holds great promise for the safe participation in exercise for all youth with T1DM.

Background: Youth with type 1 diabetes (T1D) are encouraged to participate in physical activity (PA). Studies have identified fear of hypoglycemia (FOH) as a barrier to participating in PA. Objectives: To examine (a) PA patterns in youth with T1D by age group and (b) the relationship between both parental and youth FOH and youth PA. Methods: A cross-sectional analysis from the SEARCH cohort study visit of youth ages 10 to 17 years with T1D (n = 1129) was conducted. Linear regression models estimated the association between self-reported number of days of vigorous PA (VPA) and moderate PA (MPA) and both youth-and parent-reported FOH. Multivariable models were adjusted for age, sex, race, duration of T1D, HbA1c, use of continuous glucose monitoring (CGM), recent severe hypoglycemia, primary insulin regimen, and BMI. Results: Participants were 52% female, had mean (sd) age 14.4 (4.2) years, diabetes duration 7.5 years (1.8), HbA1c 9.2% (1.7). Older youth were less likely to engage in VPA (P < .01), or sports teams (P < .01), but more likely to engage in MPA (P < .01). Higher youth FOH (behavior subscale) was associated with increased levels of VPA (β (se) 0.30 (0.11), P = .01) but not significantly associated with MPA (P = .06). There was no statistically significant association between parental FOH and youth PA. Conclusions: In SEARCH participants with T1D, VPA, and team sports participation declined with age, while MPA increased. We observed that higher scores on the youth FOH behavioral subscale were associated with increased VPA levels, suggesting that FOH may be less of a barrier to PA than previously thought.

Despite several studies showing the frequency of hypoglycemia during and after exercise, many youth are not adjusting insulin for exercise. A tool designed to capture patient practices and provide clinicians with a framework for patient education may lead to improved safety around exercise in youth with T1D.

OBJECTIVES To describe temporal trends and correlates of glycemic control in youth and young adults (YYA) with youth-onset diabetes. RESEARCH DESIGN AND METHODS The study included 6,369 participants with type 1 or type 2 diabetes from the SEARCH for Diabetes in Youth study. Participant visit data were categorized into time periods of 2002–2007, 2008–2013, and 2014–2019, diabetes durations of 1–4, 5–9, and ≥10 years, and age groups of 1–9, 10–14, 15–19, 20–24, and ≥25 years. Participants contributed one randomly selected data point to each duration and age group per time period. Multivariable regression models were used to test differences in hemoglobin A1c (HbA1c) over time by diabetes type. Models were adjusted for site, age, sex, race/ethnicity, household income, health insurance status, insulin regimen, and diabetes duration, overall and stratified for each diabetes duration and age group. RESULTS Adjusted mean HbA1c for the 2014–2019 cohort of YYA with type 1 diabetes was 8.8 ± 0.04%. YYA with type 1 diabetes in the 10–14-, 15–19-, and 20–24-year-old age groups from the 2014–2019 cohort had worse glycemic control than the 2002–2007 cohort. Race/ethnicity, household income, and treatment regimen predicted differences in glycemic control in participants with type 1 diabetes from the 2014–2019 cohort. Adjusted mean HbA1c was 8.6 ± 0.12% for 2014–2019 YYA with type 2 diabetes. Participants aged ≥25 years with type 2 diabetes had worse glycemic control relative to the 2008–2013 cohort. Only treatment regimen was associated with differences in glycemic control in participants with type 2 diabetes. CONCLUSIONS Despite advances in diabetes technologies, medications, and dissemination of more aggressive glycemic targets, many current YYA are less likely to achieve desired glycemic control relative to earlier cohorts.