Dual diagnosis of type 1 diabetes mellitus and attention deficit hyperactivity disorder.

BACKGROUND: Data regarding glycemic control in children and adolescents with a dual diagnosis of type 1 diabetes mellitus (T1DM) and attention-deficit/hyperactivity disorder (ADHD) are limited. OBJECTIVE: To compare various aspects of diabetes control among youth with T1DM, between those with and without ADHD. METHODS: In this cross-sectional study of youth with T1DM, 39 had ADHD (mean age 14.1 ± 2.8 years) and 82 did not (control group, mean age 12.6 ± 3.3 years). Health-related quality of life was assessed by a Diabetes Quality of Life (DQOL) questionnaire submitted to their parents. Glycemic data were downloaded from glucometers, pumps, and continuous glucose monitoring systems. HbA1c levels, hospitalizations, and severe hypoglycemic and diabetes ketoacidosis events were retrieved from the medical files. RESULTS: Compared to the control group mean HbA1c level of the ADHD group was higher: 8.3 ± 1.1% versus 7.7 ± 1.0% (p = 0.005) and the percent of time that glucose level was in the target range (70-180 mg/dl) was lower: 48 ± 17% versus 59 ± 14% (p = 0.006). Mean glucose and glucose variability were higher in the ADHD group. Youth with ADHD who were not pharmacologically treated had worse HbA1c and more hospitalizations than those who were treated. DQOL did not differ between the control group, the treated ADHD group, and the untreated ADHD-Group. CONCLUSIONS: Dual diagnosis of T1DM and ADHD during childhood leads to worse diabetes control, which is more pronounced in the context of untreated ADHD. Healthcare providers should be aware of the difficulties facing youth with T1DM and ADHD in coping with the current intensive treatment of diabetes.

Increased prevalence of disordered eating in the dual diagnosis of type 1 diabetes mellitus and celiac disease.

BACKGROUND: Disordered eating behaviors (DEBs) may lead to full blown eating disorders. Both type 1 diabetes mellitus (T1DM) and celiac disease (CD) have been linked to DEBs. OBJECTIVE: To compare the presence of DEBs between adolescents and young adults with a dual diagnosis of T1DM and CD, and individuals with only one of the diagnoses. METHODS: Individuals with a dual diagnosis of T1DM and CD ("T1DM + CD group" n = 39), with a diagnosis of T1DM only ("T1DM group" n = 97) and with a diagnosis of CD only ("CD group" n = 267) filled the Eating Attitude Test-26 (EAT-26) questionnaire. Those with T1DM completed in addition to the Diabetes Eating Problem Survey-Revised (DEPS-R). RESULTS: The study population comprised of 403 individuals, of whom 65% were females. There were no statistically significant differences among the groups in distribution of sex, age, hemoglobin A1c (HbA1c) levels, age of disease diagnosis and duration. The prevalence of DEBs in the T1DM + CD group was 3-fold higher (26.0%) than in the T1DM (8.2%) and CD (8.2%) groups (P = .003). This trend was observed for both females and males. Multivariate analysis demonstrated that the T1DM + CD group had an increased risk for DEBs (odds ratio, OR: 4.7, 95% confidence interval, CI: 1.9-11.2, P = .001) after adjustment for age, sex, and body mass index. Additionally, being female, older and overweight increased the risk for DEBs. HbA1c values were not associated with an increased DEBs rate. CONCLUSIONS: Individuals with the dual diagnoses of T1DM and CD have an increased likelihood to develop DEBs compared to those with only one of these diagnoses.

Sexual lifestyle among young adults with type 1 diabetes.

BACKGROUND: Sexual lifestyles including sexual activity, problems, satisfaction, and the formation and maintenance of relationships are greatly affected by physical health. Data are limited regarding the sexual lifestyle of adolescents and young adults with type 1 diabetes mellitus (T1DM). Fear of hypoglycemic episodes during sexual intercourse and intimacy issues can impact individuals with T1DM. The aim of this study was to assess sexual lifestyles of individuals with T1DM. METHODS: Fifty-three patients with T1DM, 27 (51%) males, mean ± SD age 27.9 ± 8.3 years completed the Hypoglycemia Fear Survey-II and the Sex Practices and Concerns questionnaire. RESULTS: Thirty-seven (70%) reported they never or almost never had concerns in their sexual lifestyles that were related to their diabetes. None experienced severe hypoglycemia during sex, but 21 (40%) reported occasional mild hypoglycemic events. More than two-thirds do not take any measures to prevent hypoglycemia before sex (decreasing insulin dose, snacks, and measuring blood glucose levels). Fear of hypoglycemia during sex was reported by 18 (35%); those who reported increased fear experienced mild hypoglycemic events during sex (61.1% vs 26.5%, P = .01), were singles (94.4% vs 64.7%, P = .02), and had higher scores on the Worries subscale of the Hypoglycemia Fear Survey-II (42.8 ± 12.8 vs 34.9 ± 10.5, P = .04) compared with those who did not. CONCLUSIONS: Among young people with T1DM, most do not have concerns regarding sex that are related to their diabetes, and most do not take specific measures before or after sex. One-third, however, fear of hypoglycemia during sex, mostly singles and those who experienced hypoglycemia in the past. Caregivers should be aware and address these concerns. Copyright © 2016 John Wiley & Sons, Ltd.

Open-source automated insulin delivery systems (OS-AIDs) in a pediatric population with type 1 diabetes in a real-life setting: the AWeSoMe study group experience.

PURPOSE: The use of open-source automated insulin delivery systems (OS-AIDs), for the management of type 1 diabetes (T1D), has increased over recent years in all age groups. Real-life data has demonstrated the safety and efficacy of these systems, however, studies in the pediatric population remain limited. In this study, we aimed to examine the effect of transition to an OS-AIDs on glycemic parameters, and on several aspects related to quality of life. In addition, we aimed to characterize the socioeconomic position of families who chose this treatment modality, assess their motivations to do so, and evaluate treatment satisfaction. METHODS: In this multi-center observational real-life study from the AWeSoMe Group, we compared glycemic parameters of 52 individuals with T1D (56% males, mean diabetes duration 4.2 ± 3.9 years), from the last clinic visit prior to OS-AIDs initiation to the most recent clinic visit while using the system. Socioeconomic position (SEP) index was retrieved from the Israel Central Bureau of Statistics. Caregivers completed questionnaires assessing reasons for system initiation and treatment satisfaction. RESULTS: Mean age at OS-AIDs initiation was 11.2 ± 4 years, range 3.3-20.7 years with a median usage duration of 11.1 months (range 3-45.7). Mean SEP Index was 1.033 ± 0.956 (value range: -2.797 to 2.590). Time in range (TIR) of 70 to 180 mg/dl increased from 69.0 ± 11.9 to 75.5 ± 11.7%, (P < 0.001), and HbA1c decreased from 6.9 ± 0.7 to 6.4 ± 0.6%, (P < 0.001). Time in tight range (TITR) of 70 to 140 mg/dl increased from 49.7 ± 12.9 to 58.8 ± 10.8% (P < 0.001). No episodes of severe hypoglycemia or DKA were reported. Reduction in diabetes burden and sleep quality improvement were the main reasons for OS-AID initiation. CONCLUSIONS: In our cohort of youth with T1D, the transition to an OS-AID resulted in greater TIR and less severe hypoglycemia regardless of age, diabetes duration or SEP, which was found to be above average. The overall improvement in glycemic parameters in our study population with excellent baseline glycemic control, provides additional evidence of beneficence and efficacy of OS-AIDs in the pediatric population.

Glycaemic control in the paediatric and young adult population with type 1 diabetes following a single telehealth visit - what have we learned from the COVID-19 lockdown?

AIMS: Children with chronic diseases were unable to receive their usual care during COVID-19 lockdown. We assessed the feasibility and impact of telehealth visits on the time-in-range (TIR) of paediatric individuals with type 1 diabetes (T1D). METHODS: An observational multicentre real-life study. Patients scheduled for an in-clinic visit during the lockdown were offered to participate in a telehealth visit. Sociodemographic, clinical, continuous glucose monitor and pump data were recorded 2 weeks prior and 2 weeks after telehealth visit. The primary endpoint was change in relative-TIR, i.e. change in TIR divided by the percent of possible change (∆TIR/(100-TIRbefore)*100). RESULTS: The study group comprised 195 individuals with T1D (47.7% males), mean±SD age 14.6 ± 5.3 years, and diabetes duration 6.0 ± 4.6 years. Telehealth was accomplished with 121 patients and their parents (62.0%); 74 (38.0%) did not transfer complete data. Mean TIR was significantly higher for the two-week period after the telehealth visit than for the two-week period prior the visit (62.9 ± 16.0, p < 0.001 vs. 59.0 ± 17.2); the improvement in relative-TIR was 5.7±26.1%. Initial higher mean glucose level, lower TIR, less time spent at <54 mg/dl range, longer time spent at 180-250 mg/dl range, higher daily insulin dose, and single-parent household were associated with improved relative-TIR. Multiple regression logistic analysis demonstrated only initial lower TIR and single-parent household were significant, odds ratio: -0.506, (95%CI -0.99,-0.023), p=0.04 and 13.82, (95%CI 0.621, 27.016), p=0.04, respectively. CONCLUSIONS: Paediatric and young adult patients with T1D benefited from a telehealth visit during COVID-19. However, this modality is not yet suitable for a considerable proportion of patients.

Lessons learned from the continuous glucose monitoring metrics in pediatric patients with type 1 diabetes under COVID-19 lockdown.

AIMS: Billions of people have been under lockdown in an attempt to prevent COVID-19 spread. Lifestyle changes during lockdown could lead to deterioration of glycemic control in type 1 diabetes (T1D). We aimed to assess the impact of COVID-19 lockdown on the glycemic control of pediatric patients with T1D. METHODS: This observational real-life study from the AWeSoMe Group assessed continuous glucose monitoring (CGM) metrics of 102 T1D patients (52.9% males, mean age 11.2 ± 3.8 years, mean diabetes duration 4.2 ± 3.8 years) who used  Dexcom G5. The data were accessed without any interface between patients, caregivers, and the diabetes team. Study variables from CGM metrics were: mean glucose level, time-in-range (TIR, 70-180 mg/dL; 3.9-10 mmol/L), hypoglycemia (< 54 mg/dL; < 3 mmol/L), hyperglycemia (> 250 mg/dL; > 13.3 mmol/L), coefficient of variation (CV), and time CGM active before and during lockdown. Delta-variable = lockdown variable minus before-lockdown variable. RESULTS: The mean TIR was 60.9 ± 14.3% before lockdown, with no significant change during lockdown (delta-TIR was 0.9 ± 7.9%). TIR during lockdown was significantly correlated with TIR before lockdown (r = 0.855, P < 0.001). Patients with improved TIR (delta-TIR > 3%) were significantly older than patients with stable or worse TIR (P = 0.028). Children aged < 10 years had a significantly higher CV before lockdown and during lockdown than children aged ≥ 10 years (P = 0.02 and P = 0.005, respectively). Among children aged < 10 years, a multiple linear regression model revealed associations of age and lower socioeconomic cluster with delta-TIR (F = 4.416, P = 0.019) and with delta-mean glucose (F = 4.459, P = 0.018). CONCLUSIONS: CGM metrics in pediatric patients with T1D were relatively stable during a nationwide lockdown. Intervention plans should focus on younger patients with lower socioeconomic position.

A randomized controlled trial comparing a telemedicine therapeutic intervention with routine care in adults with type 1 diabetes mellitus treated by insulin pumps.

AIM: To examine the effectiveness and safety over a 12-month period of a telemedicine intervention in adults with type 1 diabetes (T1D) treated with insulin pumps. METHODS: 74 T1D patients on insulin pumps for at least 1 year (mean 19.5 [11.5] years) and HbA1c ≥ 6.5% (≥ 48 mmol/mol) were randomized to the telemedicine (n = 37) or the standard care group (n = 37). The intervention group was instructed to download data from insulin pumps and glucometers monthly. They received immediate phone feedback and recommendations for insulin dose adjustment; and face-to-face visits once in 6 months, compared to once every 3 months for the standard care group. Satisfaction with treatment, quality of life and frequency of hypoglycemic events was evaluated. RESULTS: The mean changes in HbA1c adjusted to baseline were - 0.08% (0.25 mmol/mol) vs. - 0.01% (0.03 mmol/mol), in the intervention and control groups, respectively (p = 0.18) at 12 months, without an increased frequency of hypoglycemia. Patients in the intervention group felt satisfied and interested in continuing with the treatment (p = 0.04). The quality of life scores were similar in both groups. Direct total costs were 24% less in the intervention group, and indirect total costs decreased by 22% compared to the year preceding the study. CONCLUSIONS: Internet-based insulin dose adjustment is as effective and safe as routine care in adults with type 1 diabetes treated by insulin pumps. For suitable patients, some of the time-consuming routine visits may be replaced by user-friendly digital medicine. CLINICAL TRIAL REGISTRATION: Clinical Trial.gov Identifier NCT01887431.