Publications by authors named "Daniela Bruttomesso"

Purpose: The addition of SGLT2i to insulin therapy in type 1 diabetes (T1D) is an emerging treatment strategy. This study evaluates the real-world effects of SGLT2i on glycaemic control and other outcomes in individuals with T1D.

Methods: In this single-center retrospective study, we included 78 adults with T1D who initiated SGLT2i and were observed for up to 24 months.

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Despite the growing evidence supporting the outpatient use of continuous glucose monitoring (CGM) for improving glycaemic control and reducing hypoglycaemia, there is a need for a detailed understanding of the specific features of CGM devices that best meet individual patient needs. This expert opinion, based on a comprehensive literature review and the personal perspectives of clinicians, aims to provide the healthcare professionals (HCPs) with a comprehensive framework for selecting CGM devices. It evaluates the current state of CGM technology, categorizing features into essential features, major drivers of choice, and additional/useful features.

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Comparing the performance of different continuous glucose monitoring (CGM) systems is challenging due to the lack of comprehensive guidelines for clinical study design. In particular, the absence of concise requirements for the distribution of comparator (reference) blood glucose (BG) concentrations and their rate of change (RoC) that are used to evaluate CGM performance, impairs comparability. For this article, several experts in the field of CGM performance testing have collaborated to propose characteristics of the distribution of comparator measurements that should be collected during CGM performance testing.

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A technological solution for the management of diabetes in people who require intensive insulin therapy has been sought for decades. The last 10 years have seen substantial growth in devices that can be integrated into clinical care. Driven by the availability of reliable systems for continuous glucose monitoring, we have entered an era in which insulin delivery through insulin pumps can be modulated based on sensor glucose data.

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A technological solution for the management of diabetes in people who require intensive insulin therapy has been sought for decades. The last 10 years have seen substantial growth in devices that can be integrated into clinical care. Driven by the availability of reliable systems for continuous glucose monitoring, we have entered an era in which insulin delivery through insulin pumps can be modulated based on sensor glucose data.

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Aim: Whether glucose sensor alarms improve metabolic control and are accepted by individuals with diabetes is unclear. Here, we investigated whether switching from a standard flash glucose monitoring system (FGM1) to a system equipped with hypo- and hyperglycemia alarms (FGM2) improves glycemic control and psychological outcomes in adults with type 1 diabetes (T1D).

Methods: Subjects with T1D and > 4% of time in hypoglycemia or > 40% of time in hyperglycemia were studied while wearing FGM1 (4 weeks) and after switching to FGM2 for 8 weeks.

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Aims: Automated insulin delivery improves glucose control. Aim of this study was to compare in real life the effects on glucose control and patient reported outcomes of an advanced hybrid closed loop system (Control-IQ), versus a simpler system with predictive low glucose suspend function (Basal-IQ).

Methods: Thirty-one type 1 diabetic subjects were studied during Basal-IQ and after switching to Control-IQ.

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Aims: To conduct a pooled analysis to assess the performance of intermittently scanned continuous glucose monitoring (isCGM) in association with the rate of change in sensor glucose in a cohort of children, adolescents, and adults with type 1 diabetes.

Material And Methods: In this pooled analysis, isCGM system accuracy was assessed depending on the rate of change in sensor glucose. Clinical studies that have been investigating isCGM accuracy against blood glucose, accompanied with collection time points were included in this analysis.

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Patients with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) differ for triggers, mode of start, associated symptoms, evolution, and biochemical traits. Therefore, serious attempts are underway to partition them into subgroups useful for a personalized medicine approach to the disease. Here, we investigated clinical and biochemical traits in 40 ME/CFS patients and 40 sex- and age-matched healthy controls.

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Background: Providing real-time magnitude and direction of glucose rate-of-change (ROC) via trend arrows represents one of the major strengths of continuous glucose monitoring (CGM) sensors in managing type 1 diabetes (T1D). Several literature methods were proposed to adjust the standard formula (SF) used for insulin bolus calculation by accounting for glucose ROC, but each of them provides different suggestions, making it difficult to understand which should be applied in practice. This work aims at performing an extensive in-silico assessment of their performance and safety.

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We present a new mobile platform to be used in clinical trials aimed at both collecting data and assessing new technologies and treatments for diabetes care. The main components of the platform are a mobile app, that automatically collects data from continuous glucose monitoring sensors and activity trackers, and also allows users to manually log daily events; a cloud database for safe data storage; a web interface, which allows clinicians to monitor patients' status in real-time. The platform is modular and highly customizable for a multitude of purposes in clinical research.

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Aims: To conduct a secondary analysis of the SAGE study to evaluate the association between glycaemic control and patient-reported outcomes (PROs), in adults with type 1 diabetes (T1DM) across different age groups and regions.

Materials And Methods: SAGE was a multinational, cross-sectional, observational study in adults with T1DM. Data were collected at a single visit, analysed according to predefined age groups (26-44, 45-64, and ≥65 years), and reported across different regions.

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Introduction: In persons with type 1 diabetes (T1D) insulin dosing can be adjusted based on trend arrows derived from continuous glucose monitoring (CGM). We propose a slide rule with narrower blood glucose intervals and more classes of insulin sensitivity than are available in current models.

Methods: The slide rule was tested in silico, in which a meal was simulated in 100 virtual subjects and the insulin bolus was calculated either in the standard way based on the insulin-to-carbohydrate ratio and the correction factor or according to the slide rule, following which the percentage time spent in range (70-180 mg/dl; %T), hypoglycemia (< 70 mg/dl; %T), and hyperglycemia (> 180 mg/dl; %T) was compared between the methods during the 4 h after the meal.

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Article Synopsis
  • Continuous glucose monitoring (CGM) is essential for managing diabetes, and this study assessed the accuracy of two sensors: Dexcom G5 Mobile (DG5) and Eversense (EVS).
  • Eleven patients with type 1 diabetes wore both sensors for seven days, undergoing controlled glucose excursions in a clinical research center.
  • The results showed that DG5 had better accuracy in a clinical setting, especially during blood glucose decreases, whereas both sensors performed similarly during home monitoring.
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Background: Starting March 2020 the Italian Government imposed a lockdown to limit the spread of SARS-CoV-2. During lockdown outpatient visits were limited and telemedicine (TM) was encouraged.

Methods: We retrospectively analyzed data from continuous or flash glucose monitoring systems shared through different cloud systems during the lockdown by subjects with type 1 diabetes and compared data obtained 4 weeks before and 4 weeks after structured telephonic visit.

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Introduction: Following pivotal trials, real-world evidence is important to assess the impact of new drugs in everyday clinical practice. The RESTORE-1 study aimed to compare effectiveness and safety of the second-generation basal insulins (2BI), i.e.

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  • Pregnant women with type 1 diabetes (T1D) using continuous insulin infusion have higher complication risks, but pregnancy planning might help improve outcomes.
  • A study of 107 pregnancies showed that those who planned their pregnancies had better glucose control and lower risks of preterm delivery compared to unplanned pregnancies.
  • Better glucose control and reduced preterm delivery risks were linked to pregnancy planning, emphasizing the importance of preconception care for T1D patients using advanced insulin delivery methods.
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  • - The Steno T1D Risk Engine aims to assess cardiovascular risk in individuals with type 1 diabetes (T1D) and was originally validated in northern European populations, prompting an evaluation of its effectiveness in Italian T1D patients.
  • - In a study involving 223 Italian patients, the engine predicted a 5-year cardiovascular risk of 5.9%, which was associated with the presence of subclinical atherosclerosis but not inflammation markers; only three actual cardiovascular events were recorded over a mean follow-up of 4.7 years.
  • - The findings indicate that while the Steno T1D Risk Score can identify individuals at high risk for cardiovascular issues, it tends to overestimate the actual occurrence of events,
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Background And Aim: Diabetic ketoacidosis (DKA) is a serious medical emergency once considered typical of type 1 diabetes (T1DM), but now reported to occur in type 2 and GDM patients as well. DKA can cause severe complications and even prove fatal. The aim of our study was to review recent international and national guidelines on diagnosis, clinical presentation and treatment of diabetic ketoacidosis, to provide practical clinical recommendations.

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Article Synopsis
  • In late February 2020, Italy implemented strict lockdown measures due to the COVID-19 pandemic, impacting educational and sports activities and leading to the study of its effects on glucose control in people with type 1 diabetes (T1D).
  • Data from 33 T1D individuals showed improved glycaemic control in those who ceased work during the first week of lockdown, with average glucose levels decreasing and time in both hypoglycaemia and hyperglycaemia improving.
  • The findings suggest that reduced daily activities, despite challenges like restricted exercise and heightened stress, can positively affect glucose management in patients with T1D.
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Background: High-fiber diets (HFDs) are recommended in the diet of persons with diabetes, yet such diets can impair macronutrient digestion and/or absorption, modify insulin sensitivity, and reset metabolism.

Objectives: We studied the effects of a HFD on the kinetics of whole-body protein, a macronutrient that could be affected by dietary fiber, in type 1 diabetes mellitus (T1DM), under both basal-low insulinemic and hyperinsulinemic conditions.

Methods: Eight men with T1DM (body mass index range: 21.

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