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Automated insulin delivery systems have transformed the care of people living with type 1 diabetes and continue to move closer to the ultimate goal of a fully autonomous artificial pancreas. Automated insulin delivery systems have transformed the care of people living with type 1 diabetes and continue to move closer to the ultimate goal of a fully autonomous artificial pancreas.

BackgroundThe current coronavirus disease 2019 (COVID-19) pandemic has health, social, and economic implications. Our primary objective was to evaluate changes in body mass index (BMI) from the pre-pandemic to COVID-19 pandemic period among a large pediatric population in Israel.MethodsThis retrospective cohort study is based on data from Clalit Health Services, the largest health maintenance organization in Israel. The data accessed included sociodemographic, anthropometric, and clinical parameters of persons aged 2–20 years with at least one BMI measurement during 2017–2019 (pre-pandemic period) and one between April 1, 2020 and December 31, 2020 (pandemic period).ResultsThe cohort comprised 36,837 individuals (50.8% females); median age 11.2 years, 83.6% were Jewish and 10.3% of Arab ethnicity. BMI-SDS increased in both sexes (p < 0.001), in both ethnicities (p < 0.001), in all socioeconomic position clusters (p < 0.001), in children aged 2–18 years (P < 0.001), and in children with underweight or normal-weight in the pre-pandemic period (p < 0.001). For 21,610 individuals (35.6%), BMI-SDS increased ≥0.25 SD. The increase in BMI-SDS was greater in children aged 2–6 compared to 6.1–18 years; BMI-SDS decreased among those aged 18.1–20 years (P < 0.001). The increase in BMI-SDS was greater among those with underweight than normal weight; BMI-SDS decreased among those with overweight and obesity (P < 0.001). During the pandemic, overweight or obesity presented in 11.2% of those with normal weight in the pre-pandemic period; and obesity presented in 21.4% of those with overweight in the pre-pandemic period.ConclusionsThe COVID-19 pandemic correlated with overall weight gain among children and adolescents, with the most substantial weight gain in children aged 2–6 years. Notably, the most significant increase in BMI-SDS was observed in children with underweight; BMI-SDS decreased in children with overweight and obesity. Policies should be established during the pandemic that focus on increasing physical activity, reducing sedentary time, and promoting healthy diets.

Management of type 1 diabetes is challenging. We compared outcomes using a commercially available hybrid closed-loop system versus a new investigational system with features potentially useful for adolescents and young adults with type 1 diabetes. In this multinational, randomised, crossover trial (Fuzzy Logic Automated Insulin Regulation [FLAIR]), individuals aged 14–29 years old, with a clinical diagnosis of type 1 diabetes with a duration of at least 1 year, using either an insulin pump or multiple daily insulin injections, and glycated haemoglobin (HbA1c) levels of 7·0–11·0% (53–97 mmol/mol) were recruited from seven academic-based endocrinology practices, four in the USA, and one each in Germany, Israel, and Slovenia. After a run-in period to teach participants how to use the study pump and continuous glucose monitor, participants were randomly assigned (1:1) using a computer-generated sequence, with a permuted block design (block sizes of two and four), stratified by baseline HbA1c and use of a personal MiniMed 670G system (Medtronic) at enrolment, to either use of a MiniMed 670G hybrid closed-loop system (670G) or the investigational advanced hybrid closed-loop system (Medtronic) for the first 12-week period, and then participants were crossed over with no washout period, to the other group for use for another 12 weeks. Masking was not possible due to the nature of the systems used. The coprimary outcomes, measured with continuous glucose monitoring, were proportion of time that glucose levels were above 180 mg/dL (>10·0 mmol/L) during 0600 h to 2359 h (ie, daytime), tested for superiority, and proportion of time that glucose levels were below 54 mg/dL (<3·0 mmol/L) calculated over a full 24-h period, tested for non-inferiority (non-inferiority margin 2%). Analysis was by intention to treat. Safety was assessed in all participants randomly assigned to treatment. This trial is registered with ClinicalTrials.gov, NCT03040414, and is now complete. Between June 3 and Aug 22, 2019, 113 individuals were enrolled into the trial. Mean age was 19 years (SD 4) and 70 (62%) of 113 participants were female. Mean proportion of time with daytime glucose levels above 180 mg/dL (>10·0 mmol/L) was 42% (SD 13) at baseline, 37% (9) during use of the 670G system, and 34% (9) during use of the advanced hybrid closed-loop system (mean difference [advanced hybrid closed-loop system minus 670G system] −3·00% [95% CI −3·97 to −2·04]; p<0·0001). Mean 24-h proportion of time with glucose levels below 54 mg/dL (<3·0 mmol/L) was 0·46% (SD 0·42) at baseline, 0·50% (0·35) during use of the 670G system, and 0·46% (0·33) during use of the advanced hybrid closed-loop system (mean difference [advanced hybrid closed-loop system minus 670G system] −0·06% [95% CI −0·11 to −0·02]; p<0·0001 for non-inferiority). One severe hypoglycaemic event occurred in the advanced hybrid closed-loop system group, determined to be unrelated to study treatment, and none occurred in the 670G group. Hyperglycaemia was reduced without increasing hypoglycaemia in adolescents and young adults with type 1 diabetes using the investigational advanced hybrid closed-loop system compared with the commercially available MiniMed 670G system. Testing an advanced hybrid closed-loop system in populations that are underserved due to socioeconomic factors and testing during pregnancy and in individuals with impaired awareness of hypoglycaemia would advance the effective use of this technology National Institute of Diabetes and Digestive and Kidney Diseases.

Despite the increasing adoption of insulin pumps and continuous glucose monitoring devices, most people with type 1 diabetes do not achieve their glycemic goals 1 . This could be related to a lack of expertise or inadequate time for clinicians to analyze complex sensor-augmented pump data. We tested whether frequent insulin dose adjustments guided by an automated artificial intelligence-based decision support system (AI-DSS) is as effective and safe as those guided by physicians in controlling glucose levels. ADVICE4U was a six-month, multicenter, multinational, parallel, randomized controlled, non-inferiority trial in 108 participants with type 1 diabetes, aged 10–21 years and using insulin pump therapy (ClinicalTrials.gov no. NCT03003806). Participants were randomized 1:1 to receive remote insulin dose adjustment every three weeks guided by either an AI-DSS, (AI-DSS arm, n  = 54) or by physicians (physician arm, n  = 54). The results for the primary efficacy measure—the percentage of time spent within the target glucose range (70–180 mg dl −1 (3.9–10.0 mmol l −1 ))—in the AI-DSS arm were statistically non-inferior to those in the physician arm (50.2 ± 11.1% versus 51.6 ± 11.3%, respectively, P  < 1 × 10 −7 ). The percentage of readings below 54 mg dl −1 (<3.0 mmol l −1 ) within the AI-DSS arm was statistically non-inferior to that in the physician arm (1.3 ± 1.4% versus 1.0 ± 0.9%, respectively, P  < 0.0001). Three severe adverse events related to diabetes (two severe hypoglycemia, one diabetic ketoacidosis) were reported in the physician arm and none in the AI-DSS arm. In conclusion, use of an automated decision support tool for optimizing insulin pump settings was non-inferior to intensive insulin titration provided by physicians from specialized academic diabetes centers. The randomized-controlled trial ADVICE4U demonstrates non-inferiority of an automated AI-based decision support system compared with advice from expert physicians for optimal insulin dosing in youths with type 1 diabetes.

To assess clinical variables, including early thyroid scintigraphy, in predicting the outcome (permanent vs transient) in term infants with congenital hypothyroidism (CH). In a retrospective study, 142 full-term infants with CH diagnosed between 2000 and 2012 were categorized into three groups: agenesis/ectopic thyroid and permanent CH; eutopic thyroid and permanent CH; and eutopic thyroid and transient CH. All underwent early thyroid scintigraphy and were under regular follow-up in our tertiary Pediatric Endocrine Institute. Thyroid scan showed agenesis/ectopic thyroid in 58 (41%) and eutopic thyroid in 84 (59%) infants. Imaging findings were similar in eutopic-permanent and eutopic-transient groups. At initial evaluation, TSH levels were higher in the agenesis/ectopic group than in the eutopic-permanent and eutopic-transient groups (71.5 ± 11.2 mIU/L vs 49.1 ± 27.9 mIU/L and 42.5 ± 29.1 mIU/L, respectively; P < 0.001). Higher l-T4 doses were required from the third month in the agenesis/ectopic than in the eutopic-permanent group (P < 0.001) and from the sixth month in the eutopic-permanent than in the eutopic-transient group (P < 0.01). Initial TSH >63.5 mU/L (P < 0.001) and l-T4 dose >4.6 μg/kg/d at age >6 months (P < 0.001) were found to be predictors for an agenesis/ectopic gland using receiver operating characteristic analysis, as was an l-T4 dose >2.2 μg/kg/d at age >6 months (P < 0.01) for permanent CH in patients with a eutopic gland. Although early thyroid scintigraphy is reliable in predicting permanent CH when detecting agenesis or ectopic gland, it cannot differentiate between permanent and transient CH in cases with a eutopic thyroid. Confirmatory TSH at diagnosis and the l-T4 dose through treatment may better distinguish between permanent and transient CH.

Abstract Context Central precocious puberty (CPP) may be the first presentation of nonclassical congenital adrenal hyperplasia (NCCAH) in girls. Data on the prevalence and the clinical phenotype of CPP associated with NCCAH are sparse. Objectives To study the clinical and laboratory characteristics that could differentiate idiopathic CPP from CPP associated with NCCAH and to determine the prevalence of NCCAH among girls with CPP. Design Case-control study. Setting Tertiary pediatric endocrinology institute. Participants and Methods From 2008 to 2017, 147 girls who had undergone stimulation tests with gonadotropin-releasing hormone and ACTH were diagnosed with CPP; of these, seven (4.8%) were eventually diagnosed with NCCAH. These seven patients together with 30 girls who presented with CPP during 1984 to 2008 and were later diagnosed with NCCAH comprised the NCCAH group. Demographic, anthropometric, clinical, and laboratory data were compared between the NCCAH group and the 140 girls with idiopathic CPP (ICPP group). Results No between-group differences were found in height, weight, body mass index, bone age, and Tanner stage. Mean basal levels of androstenedione, dehydroepiandrosterone-sulphate, and 17-hydroxyprogesterone were significantly higher in the NCCAH group, although ranges overlapped between the groups, and stimulated cortisol level was higher in the ICPP group. Conclusion NCCAH was found in 4.8% of girls presenting with true CPP over 10 years, and no single parameter could differentiate between the diagnoses. Thus, in girls with true CPP from populations in which NCCAH is prevalent, assessment of adrenal androgens is required, and ACTH test should be considered. Girls presenting with CPP underwent GnRH and ACTH tests. NCCAH was found in 4.8% of girls with CPP. No single parameter could differentiate between NCCAH and idiopathic CPP.

Key Points Linear growth (that is, gain in height) is determined by the rate of growth plate chondrogenesis Short stature is caused by decreased chondrogenesis whereas tall stature is the result of increased chondrogenesis The rate of growth plate chondrogenesis is regulated by many systems, including those related to intracellular, paracrine and extracellular matrix factors, as well as endocrine mechanisms Findings from the past decade have identified many new genetic defects responsible for short and tall stature that occur across the systems that regulate growth plate activity Similarly, genome-wide association studies have revealed that the normal variation in height seems to be due to many genes that affect the growth plate through a variety of mechanisms These new findings suggest a novel conceptual framework for understanding short and tall stature, which is centred on the growth plate—the structure responsible for height gain In this Review, Jeffrey Baron and colleagues explore the latest discoveries in the molecular and cell biology of childhood growth and in the clinical genetics of childhood growth disorders. These findings challenge the established theory that childhood growth is primarily controlled by growth hormone and insulin-like growth factor 1, leading the authors to suggest a broader framework for understanding linear growth disorders. In the past, the growth hormone (GH)–insulin-like growth factor 1 (IGF-1) axis was often considered to be the main system that regulated childhood growth and, therefore, determined short stature and tall stature. However, findings have now revealed that the GH–IGF-1 axis is just one of many regulatory systems that control chondrogenesis in the growth plate, which is the biological process that drives height gain. Consequently, normal growth in children depends not only on GH and IGF-1 but also on multiple hormones, paracrine factors, extracellular matrix molecules and intracellular proteins that regulate the activity of growth plate chondrocytes. Mutations in the genes that encode many of these local proteins cause short stature or tall stature. Similarly, genome-wide association studies have revealed that the normal variation in height seems to be largely due to genes outside the GH–IGF-1 axis that affect growth at the growth plate through a wide variety of mechanisms. These findings point to a new conceptual framework for understanding short and tall stature that is centred not on two particular hormones but rather on the growth plate, which is the structure responsible for height gain.

This randomized, crossover trial compared an artificial-pancreas system with a sensor-augmented pump for nocturnal glucose control in young persons with type 1 diabetes at a diabetes camp. The artificial pancreas resulted in less hypoglycemia and tighter glucose control. Intensive insulin therapy is considered to be the standard treatment for tight blood glucose control in patients with type 1 diabetes, since it prevents long-term complications. Several studies have promoted the use of insulin pumps, glucose sensors, or a combination of the two devices (sensor-augmented pump) 1 – 3 to improve glucose control. However, the risk of hypoglycemia is still present with the use of all currently available therapies. 4 – 6 Maintenance of nocturnal euglycemia is extremely important and is challenging, since most cases of severe hypoglycemia occur at night. 7 , 8 Such episodes account for 75% of total hypoglycemic seizures in children 9 and . . .

The use of advanced technologies for diabetes management is on the rise among pediatric patients with type 1 diabetes (T1D). Continuous subcutaneous insulin infusion (CSII), continuous glucose monitoring, predictive low glucose suspend, hybrid closed-loop insulin delivery systems—all enable better diabetes management and glycemic control. However, when used by children, and especially very young children, specific aspects must be taken into consideration, including technical parameters, ease of use, parental stress, and satisfaction. The unique characteristics of T1D in children aged <6 years are reviewed and studies of the pros and cons of different technologies in this specific age group are presented. Addressing such issues when implementing advanced technologies among very young children with T1D will enable better diabetes management and will hopefully ease a tremendous burden of both children and families.

OBJECTIVE: To assess the impact of continuous glucose monitoring on hypoglycemia in people with type 1 diabetes. RESEARCH DESIGN AND METHODS: In this randomized, controlled, multicenter study, 120 children and adults on intensive therapy for type 1 diabetes and a screening level of glycated hemoglobin A₁c (HbA₁c) <7.5% were randomly assigned to a control group performing conventional home monitoring with a blood glucose meter and wearing a masked continuous glucose monitor every second week for five days or to a group with real-time continuous glucose monitoring. The primary outcome was the time spent in hypoglycemia (interstitial glucose concentration <63 mg/dL) over a period of 26 weeks. Analysis was by intention to treat for all randomized patients. RESULTS: The time per day spent in hypoglycemia was significantly shorter in the continuous monitoring group than in the control group (mean ± SD 0.48 ± 0.57 and 0.97 ± 1.55 h/day, respectively; ratio of means 0.49; 95% CI 0.26-0.76; P = 0.03). HbA₁c at 26 weeks was lower in the continuous monitoring group than in the control group (difference -0.27%; 95% CI -0.47 to -0.07; P = 0.008). Time spent in 70 to 180 mg/dL normoglycemia was significantly longer in the continuous glucose monitoring group compared with the control group (mean hours per day, 17.6 vs. 16.0, P = 0.009). CONCLUSIONS: Continuous glucose monitoring was associated with reduced time spent in hypoglycemia and a concomitant decrease in HbA₁c in children and adults with type 1 diabetes.