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Aims: To assess the effectiveness of the intermittent-scanned continuous glucose monitoring (isCGM) system in preventing severe hypoglycemic episodes and in improving glucose parameters and quality of life. Methods: Four hundred T1D individuals were enrolled in a prospective real-word study with an intermittently scanned continuous glucose monitoring device during the 12-months follow-up. The primary endpoint was the incidence of severe hypoglycemic events. Results: 82% of subjects were naïve to the use of the device (group A) and 18% were already wearing the system (group B). The cumulative incidence of severe hypoglycemia (SH) at 12 months was 12.06 per 100 person-year (95% CI: 8.35–16.85) in group A and 10.14 (95% CI: 4.08–20.90) in group B without inter-group differences. In group A there was a significant decrease in SH at 12 months compared to 3 months period (p = 0.005). Time in glucose range significantly increased in both groups accompanied with a significant decrease in glucose variability. HbA1c showed a progressive significant time-dependent decrease in group A. The use of the device significantly improved the perceived quality of life. Conclusion: This study confirmed the effectiveness of the isCGM in reducing hypoglycemic risk without glucose deterioration, with potential benefits on adverse outcomes in T1D individuals. Trial registration: ClinicalTrials.gov registration no. NCT04060732. [ABSTRACT FROM AUTHOR]

Aims: The present study assessed the transitioning process of young adults with type 1 diabetes mellitus (T1D) in Italy. Materials and methods: We asked Pediatric Diabetes Centers (PDC) and Adult Diabetes Centers (CAD) to fill in a web-based survey on the current state of services, the number of transitioning adolescents with T1D within the last year, observations on limitations, and future directions. Results: 93 centers (46 PDCs, 47 CADs) joined the study. The total number of subjects with T1D being followed by a PDC was 16,261 (13,779 minors and 2483 young adults), while CADs had 25,500 patients. The survey showed an uneven situation. Only some services had a dedicated diabetes team (78% of PDCs, 64% of CADs). 72% of PDCs and 58% of CADs reported a protocol dedicated to transition. The median age for transition was 19 (range 16–25 years); the time required for preparing transition, indicated by both PDCs and CADs, was 5.5 months. A high percentage of CADs (80%) confirmed receiving sufficient clinical information, mainly through paper or computerized reports. The transition process is hampered by a lack of resources, logistical facilities, and communication between services. While some services have a protocol, monitoring of results is only carried out in a few cases. Most specialists expressed the need to enhance integration and continuity of treatment. Conclusions: The current situation could be improved. Applying standard guidelines, taking into consideration both clinicians' and patients' necessities, would lead to a more successful transition process. [ABSTRACT FROM AUTHOR]

Aims: Depression in type 2 diabetes may heavily affect the course of the disease. In this study, we investigated, among new cases with type 2 diabetes, the incidence and clinical predictors of depression and determined the extent to which depression constitutes a risk factor for acute and long-term diabetes complications and mortality. Methods: In this population-based retrospective cohort study, incident cases of type 2 diabetes without a prior history of depression were identified from the administrative databases of the Emilia-Romagna Region, Italy, between 2008 and 2017 and followed up until 2020. Logistic regression models were used to identify the predictors of depression. Cox regression models were used to estimate the risk of acute complications over three years, and the risk of long-term complications and mortality over ten years. Results: Incident cases with type 2 diabetes were 30,815, of whom 5146 (16.7%) developed depression. The predictors of depression onset were as follows: female sex, age > 65 years, living in rural areas and comorbid diseases. Depression in type 2 diabetes was associated with a 2.3-fold risk of developing acute complications, 1.6-fold risk of developing long-term complications and 2.8-fold mortality risk. Conclusions: Our findings highlight that depression is associated with an increased risk for complications in type 2 diabetes and mortality and should not be neglected. Therefore, it is important to promote screening activities and introduce targeted and personalized treatment for depression in order to reduce the risk of poor short- and long-term outcomes of diabetes. [ABSTRACT FROM AUTHOR]

The aim is to evaluate whether depression in people with type 2 diabetes increases the number of Emergency Department (ED) accesses for acute and long-term diabetes-related complications during COVID-19 pandemic. Keywords: Type 2 diabetes; Emergency access; COVID-19; Acute complications; Long-term complications EN Type 2 diabetes Emergency access COVID-19 Acute complications Long-term complications 1247 1249 3 07/29/22 20220901 NES 220901 Introduction Mental disorders are leading causes of the global health-related burden [[1]]. [Extracted from the article]

Introduction: The aim of this study was to elaborate a consensus on treatment intensification strategies in patients with type 2 diabetes failing basal insulin supported oral therapy (BOT). The panel focused on glucagon-like peptide-1 receptor agonists (GLP-1RA) and basal insulin (BI) combinations. Methods: The authors developed a Delphi questionnaire organized into ten statements and 77 items that focused on: the definition of BOT and BOT failure, intensification strategies, fixed-dose combinations in general and the BI/GLP-1RA fixed combination. The survey was administered in two rounds to a panel of 80 Italian diabetes specialists, who rated their level of agreement with each item on a 5-point Likert scale. Consensus was predefined as > 66% of the panel agreeing/disagreeing on any given item. Results: Consensus was achieved for 71 of the 77 items. The panel agreed that the use of sulfonylureas in the BOT regimen is inappropriate. BOT failure was defined as individualized targets not being met for glycated hemoglobin, fasting plasma glucose and/or postprandial plasma glucose. There was agreement that postprandial hyperglycaemia and/or presence of nocturnal hypoglycaemia or weight gain define BOT failure. Addition of a GLP-1RA to BI therapy was considered to be the best option for BOT intensification. There was consensus for the use of BI/GLP-1RA fixed combinations as valuable options to increase compliance and safely improve glycaemic control. The panel agreed in considering the fixed-ratio combination insulin degludec/liraglutide (IDegLira) to be preferable to the fixed-ratio combination insulin glargine/lixisenatide (iGlarLixi) in the control of glycaemia, body weight and cardiovascular risk. Conclusion: According to this Delphi consensus, the addition of a GLP-1RA may be the best option to intensify BOT. The BI/GLP-1RA fixed combinations may increase compliance and optimize the advantages of each of these molecules. [ABSTRACT FROM AUTHOR]

Introduction: The aim of this meta-analysis was to investigate the impact of rapid-acting insulin analogues (RAIAs) and regular human insulin (RHI) on glycemic control, including long- and short-term glycemic variability as measured by glycated haemoglobin (HbA1c) and pre- and postprandial glucose (PPG). Methods: PubMed was searched for studies published between 1999 and 29 June 2016. Randomised controlled trials of patients with diabetes that assessed the effects of RAIAs or RHI on glycemic control, focusing on preprandial glucose, PPG and HbA1c, were included. Only studies that reported both means and standard deviations for those outcomes were analysed; from these data, weighted mean differences and 95% confidence intervals were generated to yield overall point estimates. The primary outcomes of the meta-analysis were the mean differences between RAIAs and RHI at the end of the study in PPG, preprandial glucose, and HbA1c. Results: Twenty-seven studies (n = 7452) were included. The difference in PPG between RAIA- and RHI-treated patients was significant—in favour of RAIAs—in patients with type 1 diabetes (T1D) [− 22.2 mg/dL; 95% confidence interval (CI) − 27.4, − 17.0 mg/dL; P < 0.0001] but not in those with type 2 diabetes (T2D). For preprandial glucose, there was a non-significant trend favouring RHIs in T1D; no data were available for patients with T2D. In patients with T1D, the between-group difference in end-of-treatment (EOT) HbA1c favoured RAIAs (− 0.13%; 95% CI − 0.18, − 0.08%; P < 0.0001), but was not significant in patients with T2D. The main study limitations were the small number and heterogeneity of the included studies. Conclusions: These results demonstrate that RAIAs are more effective at reducing PPG and improving HbA1c than RHIs in T1D. More data are required to assess the effect of these agents on glucose control in T2D. Plain Language Summary: In patients with diabetes, the risk of complications is increased by poor control of blood glucose levels and high blood glucose variability. Complications may include cardiovascular disease, eye problems and amputation. Control and variability of blood glucose levels can be evaluated using a range of measures, including (i) glycated haemoglobin (HbA1c) level at the end of the treatment period; (ii) change in HbA1c level during the treatment period; (iii) fasting plasma glucose level; (iv) postprandial glucose (PPG) level; (v) change in blood glucose level after a meal. PPG levels following a meal are an important measure of overall metabolic control in diabetes, and reduction of glycemic variability (GV) can be achieved via reductions in PPG. Both rapid-acting insulin analogues (RAIAs; aspart, glulisine and lispro) and regular human insulin (RHI) are widely used in the management of diabetes. Using data from 27 randomised controlled trials involving more than 7000 patients, we investigated the impact of RAIAs and RHI on measures of glycemic control and variability in patients with type 1 diabetes (T1D) or type 2 diabetes (T2D). Our results show that, in patients with T1D, RAIAs are more effective than RHI at reducing PPG excursions and HbA1c. This indicates that glycemic control is better with RAIAs than with RHI. More data are required to assess the effects of RAIAs and RHI on glycemic control and variability in patients with T2D. [ABSTRACT FROM AUTHOR]

Specialists who practiced in Northern Italy or cared for >= 50 T1D patients were more likely to prescribe SGLT-2 inhibitors to their T1D patients. Only 50% of the specialists who prescribed SGLT-2 inhibitors to T1D patients asked patients to sign an informed consent for the off-label use of these drugs. Ninety-six percent of the specialists who prescribed SGLT-2 inhibitors to T1D patients reported that their patients were satisfied with use of these drugs adjunct to insulin. [Extracted from the article]

Aims: To assess use of self-monitoring of blood glucose (SMBG) in type 2 diabetes (T2DM) in the context of a continuous quality improvement initiative (AMD Annals).Methods: 14 quality-of-care indicators were developed, including frequency of SMBG, fasting blood glucose (FBG), and post-prandial glucose (PPG) levels, and hypoglycemia and hyperglycemia episodes. Clinical data and SMBG values downloaded from any glucose meter were obtained from electronic medical records. The most frequently used glucose-lowering treatment regimens were identified and the indicators were assessed separately by regimen.Results: Overall, 21 Italian centers and 13,331 patients (accounting for 35,657 HbA1c tests and 8.44 million SMBG values collected during 2014 and 2015) were included in the analysis; 11 therapeutic regimens were selected. Patients in regimens not including insulin performed 15-23 measurements per patient-month, those treated with basal insulin 32.1 tests/patient-month, and those treated with basal and short-acting insulin 53-58 tests/patient-month. In all treatment regimens, PPG measurements represented a minority of all tests; pre-breakfast measurements accounted for about 50% of all FBG values. Mean FBG levels exceeded 130 mg/dl in 49.3-88.3% of the cases in the different treatment regimens, while PPG levels were over 140 mg/dl in 46.7-81.0%. From 5.7 to 32.7%, patients in the different regimens had at least one episode of hypoglycemia (< 70 mg/dl), while from 3.7 to 47.7% had at least one episode of hyperglycemia (> 300 mg/dl).Conclusions: SMBG is underutilized in patients with T2DM treated or not with insulin. In all treatment groups, PPG is seldom investigated. Poor metabolic control and rates of hyper- and hypoglycemia deserve consideration in all treatment groups. [ABSTRACT FROM AUTHOR]

Aim: To describe characteristics relevant in case of an unplanned pregnancy for T1D or T2D women of childbearing age.Methods: We analyzed the 2011 AMD-Annals dataset, compiling information from 300 clinics (28,840 T1D patients and 532,651 T2D patients). A risk score of unfavorable conditions for pregnancy included HbA1c > 8.0%; BMI ≥ 35; systolic BP ≥ 140 mmHg or diastolic BP ≥ 90 mmHg; microalbuminuria/proteinuria; use of statins, ACE inhibitors, ARB; use of diabetes drugs other than metformin/insulin.Results: The proportion of T2D cases increased from 30.8% (95% CI 29.9–32.4) at age 18–30 years to 67.5% (66.6–68.5) at age 36–45 years. The proportion of women with HbA1c < 7.0% was 20.4% (20.0–20.8) in T1D and 43.4% (42.8–43.9) in T2D women. Furthermore, 47.6% (47.0–48.3) of T1D women and 34.5% (33.9–35.0) of T2D women had HbA1c ≥ 8.0%. The prevalence of obesity (BMI ≥ 30) was sevenfold higher among T2D than T1D women [49.9% (49.4–50.5) and 7.4% (7.2–7.5), respectively]. T2D women were more likely to have hypertension or microalbuminuria than T1D women. Almost half of the T2D women were taking drugs not approved during pregnancy. At least one unfavorable condition for starting a pregnancy was present in 51% of T1D women of childbearing age and in 66.7% of T2D women.Conclusions: Women with either T1D or T2D of childbearing age in Italy were far from the ideal medical condition for conception. Our data strongly support the need for counseling all women with diabetes about pregnancy planning. [ABSTRACT FROM AUTHOR]