Davide Tinti
A5010608373- Diabetes Management and Research
- Diabetes and associated disorders
- Pancreatic function and diabetes
- Diabetes Treatment and Management
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- COVID-19 Clinical Research Studies
- Cardiovascular Function and Risk Factors
- Diet and metabolism studies
- Obesity, Physical Activity, Diet
- Mobile Health and mHealth Applications
- Mechanical Circulatory Support Devices
- Diet, Metabolism, and Disease
- Adolescent and Pediatric Healthcare
- Childhood Cancer Survivors' Quality of Life
- Cardiac pacing and defibrillation studies
- Advanced Control Systems Optimization
- Control Systems and Identification
- Metabolism, Diabetes, and Cancer
- Healthcare Facilities Design and Sustainability
- Renal and related cancers
- Child Development and Digital Technology
- Heart Rate Variability and Autonomic Control
- Pancreatitis Pathology and Treatment
- Diabetes Management and Education
- Artificial Intelligence in Healthcare
Azienda Ospedaliera Citta' della Salute e della Scienza di Torino
2019-2025
Ospedale Regina Margherita
2023-2025
The University of Adelaide
2024
University of Bari Aldo Moro
2024
Hospital General Universitario de Elche
2024
Semnan University of Medical Sciences
2024
Cornell University
2024
University of Virginia
2024
University of Turin
2015-2024
Azienda Unità Sanitaria Locale Della Romagna
2024
OBJECTIVE The Pediatric Artificial Pancreas (PedArPan) project tested a children-specific version of the modular model predictive control (MMPC) algorithm in 5- to 9-year-old children during camp. RESEARCH DESIGN AND METHODS A total 30 children, 9-years old, with type 1 diabetes completed an outpatient, open-label, randomized, crossover trial. Three days artificial pancreas (AP) were compared three parent-managed sensor-augmented pump (SAP). RESULTS Overnight time-in-hypoglycemia was reduced...
To evaluate physicians' adjustments of insulin pump settings based on continuous glucose monitoring (CGM) for patients with type 1 diabetes and to compare these automated dose adjustments.A total 26 physicians from 16 centres in Europe, Israel South America participated the study. All were asked adjust dosing pump, CGM glucometer downloads 15 (mean age 16.2 ± 4.3 years, six female, mean glycated haemoglobin 8.3 0.9% [66.8 7.3 mmol/mol]) gathered over a 3-week period. Recommendations compared...
Background: Glucose sensors consist of real-time continuous glucose monitoring (rtCGM) and intermittently scanned CGM (isCGM). Their clinical use has been widely increasing during the past 5 years. The aim this study is to evaluate percentage time in range (TIR) a large group children with type 1 diabetes (T1D) using nonautomated insulin delivery systems, real-world setting. Methods: An 11-center cross-sectional was conducted January-May 2019. Children T1D <18 years, all rtCGM or isCGM for...
In the last decade Sanger method of DNA sequencing has been replaced by next-generation (NGS). NGS is valuable in conditions characterized high genetic heterogeneity such as neonatal diabetes mellitus (NDM).
Objective After a previous survey on the incidence of diabetic ketoacidosis (DKA) at onset type 1 diabetes in children 2013–2014 Italy, we aimed to verify possible decline DKA during national prevention campaign. Design Prospective observational study. Setting Multicentre study throughout Italy. Intervention National awareness campaign started November 2015 and held until December 2017. Patients During 2016 2017 collected data all patients aged 0–18 years with new-onset diabetes. Main...
Aim/Hypothesis To compare the frequency of diabetic ketoacidosis (DKA) at diagnosis type 1 diabetes in Italy during COVID-19 pandemic 2020 with DKA 2017-2019. Methods Forty-seven pediatric centers caring for &gt;90% young people recruited 4,237 newly diagnosed children between 2017 and a longitudinal study. Four subperiods were defined based on government-imposed containment measures COVID-19, frequencies severe compared same periods Results Overall, increased from 35.7% (95%CI,...
To analyze metabolic outcomes, diabetes impact and device satisfaction in children adolescents with type 1 Italy who used different treatment modalities for care a real-life context.
This document aims to clarify the position of scientific societies and associations people with diabetes regarding use Do It Yourself (DIY) software algorithms approved only by FDA, but not yet European/Italian regulatory agency. DIY systems are already used in Italy technical support is offered web community, important medical-legal issues. The describes most technologies briefly illustrates different algorithms; a paragraph has been inserted issues linked these particular focus on Italian...
Neonatal diabetes (NDM) is a rare genetic disorder diagnosed in infants under six months of age, characterized by persistent hyperglycemia resulting from insufficient or absent insulin production. Unlike the more common forms diabetes, such as type 1 (T1D) and 2 (T2D), NDM predominantly caused monogenic mutations affecting ATP-sensitive potassium (K-ATP) channels pancreatic beta cells. The most involved are found KCNJ11 ABCC8 genes, which encode Kir6.2 SUR1 subunits K-ATP channel,...
OBJECTIVE To explore the experiences of children with type 1 diabetes and their parents taking part in an artificial pancreas (AP) clinical trial during a 7-day summer camp. RESEARCH DESIGN AND METHODS A semistructured interview, composed 14 questions based on Technology Acceptance Model, was conducted at end trial. Participants also completed Diabetes Treatment Satisfaction Questionnaire (DTSQ, parent version) AP Questionnaire. RESULTS Thirty children, aged 5–9 years, study. content...
To evaluate the impact of a virtual educational camp (vEC) on glucose control in children and adolescents with type 1 diabetes using closed-loop (CLC) system.This was prospective multicentre study Tandem Basal-IQ system. Insulin pumps were upgraded to Control-IQ, their parents participated 3-day multidisciplinary vEC. Clinical data, metrics HbA1c evaluated over 12 weeks prior Control-IQ update after vEC.Forty-three (aged 7-16 years) families The median percentage time target range (70-180...
There is conflicting evidence about the impact of COVID-19 pandemic on incidence type 1 diabetes. Here, we analysed long-term trends in diabetes Italian children and adolescents from 1989 to 2019 compared observed during with that estimated data.This was a population-based study using longitudinal data two registries mainland Italy. Trends January 31 December were Poisson segmented regression models.There significant increasing trend 3.6% per year [95% confidence interval (CI): 2.4-4.8]...
Human endogenous retroviruses (HERVs) have been studied and proposed as relevant cofactors in several autoimmune diseases, including type 1 diabetes (T1D), though with controversial results no study at disease onset. In order to gather further information on the potential role of HERVs development T1D we assessed transcription levels pol genes HERV-H, HERV-K, HERV-W peripheral leucocytes from 37 children adolescents new-onset 50 age-matched control subjects. A PCR real time Taqman...
Objective Transient neonatal diabetes mellitus (TNDM) is caused by activating mutations in ABCC8 and KCNJ11 genes (K ATP /TNDM) or chromosome 6q24 abnormalities (6q24/TNDM). We wanted to assess whether these different genetic aetiologies result distinct clinical features. Design Retrospective analysis of the Italian data set patients with TNDM. Methods Clinical features treatment 22 K /TNDM 12 6q24/TNDM were compared. Results Fourteen probands had a carrier parent abnormal glucose values,...
Despite advances in the management of type 1 diabetes (T1D), there is an increasing incidence skin reactions related to devices such as patch pumps and glucose sensors. Aim present study was assess prevalence dermatological complications pediatric patients with T1D using technological devices.Online survey regarding use and/or sensors administered families children adolescents (0-17 years) T1D. Data were collected on demographic characteristics, duration diabetes, clinical features if...
To assess the optimal setting of predictive low glucose management (PLGM) algorithm for preventing exercise-induced hypoglycemia in adolescents with type 1 diabetes.Thirty-four adolescents, 15 to 20 years, wearing PLGM system, were followed during 3 days exercise a diabetes camp. threshold was set at 70 mg/dL between 8 am and 10 pm 90 Adolescents divided into group A B, mg/dL, respectively, exercise. Time spent AUC time slots pm, 4 11 am, compared groups by Wilcoxon rank sum test.We analyzed...