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.

Prevalence of overweight, obesity and metabolic syndrome components in children, adolescents and young adults with type 1 diabetes mellitus.

BACKGROUND: We aimed to determine the prevalence of overweight and obesity among children, adolescents and young adults with type 1 diabetes mellitus (T1DM), and to assess the prevalence of the metabolic syndrome and its components. METHODS: The study cohort comprised 326 (168 women) consecutive patients aged 5 to 30 years diagnosed with T1DM and followed up in the Juvenile Diabetes Clinic, Maccabi Health Care Services. Anthropometric measurements, blood pressure, presence of additional diseases, other medications, HbA1c , triglycerides and high density lipoprotein cholesterol levels were obtained. RESULTS: The mean age in the study group was 18.5 ± 6.0 years, and the mean diabetes duration was 8.7 ± 5.0 years. Mean HbA1c level was 8.1 ± 1.3%. Nineteen per cent of the study population was overweight (85th > body mass index < 95th percentile) and 5.2% was obese (body mass index ≥ 95th percentile). Female patients aged 15 ≤ 18 and 18 ≤ 25 years were significantly overweight compared with healthy Israeli women in the same age groups, 33.3% versus 12.7% and 26.3% versus 7.8%, respectively, p < 0001. There were no obese female patients in the 15 ≤ 18 age group. Among the men in all age groups, there was no difference in the prevalence of overweight and obesity compared with healthy men in the general population. There was no difference in the age of onset, disease duration, HbA1c levels, treatment with anti-depressants and associated morbidities between the normal weight, overweight and obese groups. Obese patients had lower levels of HDL and increased prevalence of hypertension and metabolic syndrome. CONCLUSIONS: Overweight but not obesity was more prevalent in women with T1DM. Metabolic syndrome and its components were more prevalent among overweight and obese individuals with T1DM than among normal weight individuals.

Homozygous microdeletion of the POU1F1, CHMP2B, and VGLL3 genes in chromosome 3--a novel syndrome.

Microdeletion syndromes include numerous syndromic phenotypes associated with intellectual disability and dysmorphic features. We report on a patient with a novel microdeletion of chromosomal region 3p11.2-p12.1 containing POU1F1, chromatin-modifying protein 2B (CHMP2B), and vestigial-like 3 (VGLL3) genes. Our patient was diagnosed as having a neonatal multiple pituitary hormone [growth hormone (GH), thyroid-stimulating hormone (TSH), and prolactin] deficiency. In addition to the typical findings associated with these hormonal deficiencies, she exhibited clinical features resembling those of Laron syndrome (frontal bossing, saddle nose, small chin, blue sclera, and acromicria), with moderate intellectual disability. She also displayed an unusual growth pattern characterized by unresponsiveness to high doses of GH replacement therapy during infancy and early childhood and an accelerated growth rate beginning at the age of 4.5 years. Insulin-like growth factor (IGF)-1 levels were consistently extremely low or undetectable. Extensive medical and genetic analysis ruled out primary and secondary GH insensitivity. The distinct phenotype and the peculiar growth pattern observed in this affected patient, not reported to have been observed in other cases with POU1F1 gene inactivity, suggest that the other two deleted genes play a possible role in the development of this syndrome. This hypothesis may be supported by the fact that both the CHMP2B and VGLL3 genes are expressed in the liver and the growth plate, the two main target organs of the GH/IGF-1 axis. The homozygous deletion of the CHMP2B gene, previously associated with frontotemporal dementia, may contribute to the intellectual disability observed in this patient.

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.