Adolescence, a critical period of physical and psychological development, presents unique challenges in type 1 diabetes (T1D) management due to endocrinological changes, reduced therapeutic adherence, and elevated susceptibility to psychological issues such as depression, anxiety, and eating disorders. This narrative review explores the impact of psychological and behavioral factors on glycemic control in adolescents with T1D. We examine the prevalence and influence of mental health disorders, lifestyle factors, harmful behaviors, and social dynamics on diabetes management and glycemic outcomes.
View Article and Find Full Text PDFContinuous glucose monitoring (CGM) systems, including real-time CGM and intermittently scanned CGM, have revolutionized diabetes management, particularly in children and adolescents with type 1 diabetes (T1D). These systems provide detailed insights into glucose variability and detect asymptomatic and nocturnal hypoglycemia, addressing limitations of traditional self-monitoring blood glucose methods. CGM devices measure interstitial glucose concentrations constantly, enabling proactive therapeutic decisions and optimization of glycemic control through stored data analysis.
View Article and Find Full Text PDFBackground And Objective: In recent years, there has been growing interest in glycemic variability within the scientific community, particularly regarding its potential as an independent risk factor for diabetes-related long-term complications. This narrative review aimed to provide a comprehensive overview of short-term glycemic variability in children and adolescents with type 1 diabetes (T1D).
Methods: We performed a search of published literature on the PubMed MEDLINE database using the following combination of search terms: "glycemic variability", "pediatric", "type 1 diabetes", and "children".
Purpose: This pivotal study aimed to evaluate circulating levels of bone remodeling markers in children and adolescents at the onset of type 1 diabetes (T1D). Additionally, we assessed their correlation with glucose control, residual β-cell function, and the severity of presentation.
Methods: In this single-center cross-sectional study, we recruited children and adolescents newly diagnosed with T1D at our tertiary-care Diabetes Centre.
Background: Skin reactions due to technological devices pose a significant concern in the management of type 1 diabetes (T1D). This multicentric, comparative cross-sectional study aimed to assess the psychological impact of device-related skin issues on youths with T1D and their parents.
Methods: Participants with skin reactions were matched in a 1:1 ratio with a control group.
Objective: To investigate glucose metrics and identify potential predictors of the achievement of glycemic outcomes in children and adolescents during their first 12 months of MiniMed 780G use.
Research Design And Methods: This multicenter, longitudinal, real-world study recruited 368 children and adolescents with type 1 diabetes (T1D) starting SmartGuard technology between June 2020 and June 2022. Ambulatory glucose profile data were collected during a 15-day run-in period (baseline), 2 weeks after automatic mode activation, and every 3 months.
The introduction of continuous glucose monitoring (CGM) systems in clinical practice has allowed a more detailed picture of the intra- and interdaily glycemic fluctuations of individuals with type 1 diabetes (T1D). However, CGM-measured glucose control indicators may be occasionally inaccurate. This study aims to assess the discrepancy between the glucose management indicator (GMI) and glycated hemoglobin (HbA1c) (Δ) within a cohort of children and adolescents with T1D, exploring its correlation with other CGM metrics and blood count parameters.
View Article and Find Full Text PDFAims: In view of the imminent introduction of a novel category of disease-modifying treatments for type 1 diabetes (T1D) in European countries, it becomes imperative to understand the existing awareness and viewpoints of parents and caregivers of children and adolescents predisposed to T1D. This study aims to evaluate the perspectives of a cohort of parents and caregivers regarding using teplizumab to delay the onset of T1D in predisposed children and adolescents.
Methods: This single-center study used a survey-based approach.
To evaluate time in tight range (TITR) 70-140 mg/dL (3.9-7.8 mmol/L), its correlation with standard continuous glucose monitoring (CGM) metrics and the clinical variables that possibly have a substantial impact on its value, in a large cohort of pediatric subjects using different treatment strategies.
View Article and Find Full Text PDFBackground: The aim of this single-center observational study was to assess the real-world performance of first- and second-generation automated insulin delivery (AID) systems in a cohort of children and adolescents with type 1 diabetes over a one-year follow-up.
Methods: Demographic, anamnestic, and clinical data of the study cohort were collected at the start of automatic mode. Data on continuous glucose monitoring metrics, system settings, insulin requirements, and anthropometric parameters at three different time points (start period, six months, 12 months) were retrospectively gathered and statistically analyzed.
Background: Diabetic ketoacidosis (DKA) is one of the most alarming concerns in the management of type 1 diabetes (T1D) in pediatric age. Prevalence of DKA at the onset of diabetes ranges from 30 to 40%. In selected cases of severe DKA, admission to pediatric intensive care unit (PICU) should be considered.
View Article and Find Full Text PDFIntroduction: The COVID-19 pandemic represents an unprecedented challenge for public health worldwide, not only for the very high number of cases and deaths but also due to a wide variety of indirect consequences. Among these, the possible relationship between SARS-CoV-2 infection and type 1 diabetes (T1D) in pediatric age has aroused notable interest in the scientific community.
Areas Covered: This perspective article aims to focus on the epidemiological trend of T1D during the pandemic, the diabetogenic role of SARS-CoV-2, and the influence of preexisting T1D on COVID-19 outcomes.
The aim of this multicenter observational real-world study was to investigate glycemic outcomes in children and adolescents with type 1 diabetes over the first 6-month use of MiniMed™ 780G. The secondary objective was to evaluate demographic and clinical factors that may be significantly associated with the achievement of therapeutic goals. Demographic, anamnestic, and clinical data of study participants were collected at the time of enrollment.
View Article and Find Full Text PDFGastroparesis is a long-term complication of diabetes related to autonomic neuropathy. It is characterized clinically by delayed gastric emptying and upper gastrointestinal symptoms, including early satiety, postprandial fullness, nausea, vomiting, and abdominal pain. Gastric emptying scintigraphy is the gold standard for diagnosis as it reveals delayed gastric emptying.
View Article and Find Full Text PDFSince their advent in daily clinical practice, continuous subcutaneous insulin infusion (CSII) systems have been increasingly improved, leading to a high percentage of both adult and pediatric patients with diabetes now using insulin pumps. Different types of CSII systems are currently available, which are characterized by different settings and technical features. This longitudinal observational study aims to evaluate real-word glycemic outcomes in children and adolescents with type 1 diabetes using three different CSII devices: hybrid closed-loop (HCL) systems, predictive low glucose (PLGS) systems, and non-automated insulin pumps.
View Article and Find Full Text PDFLipodystrophy is the most common dermatological complication in patients with diabetes on insulin therapy. Despite the high frequency of lipodystrophy, there are still several difficulties in giving advice about avoidance into practice among children and adolescents with type 1 diabetes and their caregivers. This cross-sectional study aims to evaluate the prevalence of insulin-induced lipodystrophy in a cohort of pediatric patients with type 1 diabetes, to identify associated clinical factors and to assess its influence on glycemic control.
View Article and Find Full Text PDFAim/hypothesis: To compare the frequency of diabetic ketoacidosis (DKA) at diagnosis of type 1 diabetes in Italy during the COVID-19 pandemic in 2020 with the frequency of DKA during 2017-2019.
Methods: Forty-seven pediatric diabetes centers caring for >90% of young people with diabetes in Italy recruited 4,237 newly diagnosed children with type 1 diabetes between 2017 and 2020 in a longitudinal study. Four subperiods in 2020 were defined based on government-imposed containment measures for COVID-19, and the frequencies of DKA and severe DKA compared with the same periods in 2017-2019.
Background: Although type 1 diabetes (T1D) represents one of the most common chronic diseases in pediatric age, few studies on the epidemiology of T1D exist globally and the exact prevalence and incidence rates of the disease are unknown. In many countries, including Italy, national registries are missing.
Methods: This study aims to assess T1D incidence in the pediatric population of the Calabria region (southern Italy) in the period 2019-2021.
Background: A retrospective observational study was conducted to assess the prevalence of maturity onset diabetes of the young (MODY) in a large paediatric population of Southern Italy newly diagnosed with diabetes. Clinical and genetic features of the identified MODY patients were also described.
Methods: Genetic testing was performed in children and adolescents newly diagnosed with diabetes who presented autoantibody negativity and fasting C-peptide levels ≥ 0.
Aims: Our observational study aimed to evaluate the impact of the lockdown period due to 2019 Coronavirus disease pandemic on glycaemic control in a cohort of paediatric patients with type 1 diabetes (T1D).
Methods: Eighty-five patients with T1D aged 5-18 years using continuous glucose monitoring (CGM) systems were enrolled. Demographic and clinical data, including glucose metrics generated by CGM-specific web-based cloud platforms, were collected in three different periods (pre-lockdown phase, lockdown phase, and post-lockdown phase) of 90 days each and were statistically analysed.