From pediatric to adult care: a survey on the transition process in type 1 diabetes mellitus and the diabetes services in Italy.

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.

A multi-state analysis of disease trajectories and mental health transitions in patients with type 2 diabetes: A population-based retrospective cohort study utilizing health administrative data.

AIMS: To investigate the risk of major depression and dementia in patients with type 2 diabetes, including dementia resulting from depression, and their impact on diabetes-related complications and mortality. METHODS: We conducted a population-based retrospective cohort study including 11,441 incident cases of diabetes in 2015-2017, with follow-up until 2022. A multi-state survival analysis was performed on a seven-state model with 15 transitions to capture disease progression and onset of mental disorders. RESULTS: Eight-year probabilities of depression, dementia, diabetes-related complications, and death were 9.7% (95% CI 8.7-10.7), 0.9% (95% CI 0.5-1.3), 10.4% (95% CI 9.5-11.4), and 14.8% (95% CI 13.9-15.7), respectively. Depression increased the risk of dementia up to 3.7% (95% CI 2.0-5.4), and up to 10.3% (95% CI 0.3-20.4) if coupled with diabetes complications. Eight-year mortality was 37.5% (95% CI 33.1-42.0) after depression, 74.1% (95% CI 63.7-84.5) after depression plus complications, 76.4% (95% CI 68.8-83.9) after dementia, and 98.6% (95% CI 96.1-100.0) after dementia plus complications. CONCLUSIONS: The interconnections observed across depression, dementia, complications, and mortality underscore the necessity for comprehensive and integrated approaches in managing diabetes. Early screening for depression, followed by timely and targeted interventions, may mitigate the risk of dementia and improve diabetes prognosis.

The legacy effect of hyperglycemia and early use of SGLT-2 inhibitors: a cohort study with newly-diagnosed people with type 2 diabetes.

Background: A delay in reaching HbA1c targets in patients with newly-diagnosed type 2 diabetes (T2D) is associated with an increased long-term risk of developing cardiovascular diseases (CVD), a phenomenon referred to as legacy effect. Whether an early introduction of glucose-lowering drugs with proven benefit on CVD can attenuate this phenomenon is unknown. Methods: Using data derived from a large Italian clinical registry, i.e. the AMD Annals, we identified 251,339 subjects with newly-diagnosed T2D and without CVD at baseline. Through Cox regressions adjusted for multiple risk factors, we examined the association between having a mean HbA1c between 7.1 and 8% or >8%, compared with ≤7%, for various periods of early exposure (0-1, 0-2, 0-3 years) and the development of later (mean subsequent follow-up 4.6 ± 2.9 years) CVD, evaluated as a composite of myocardial infarction, stroke, coronary or peripheral revascularization, and coronary or peripheral bypass. We performed this analysis in the overall cohort and then splitting the population in two groups of patients: those that introduced sodium-glucose transport protein 2 inhibitors (SGLT-2i) during the exposure phase and those not treated with these drugs. Findings: Considering the whole cohort, subjects with both a mean HbA1c between 7.1 and 8% and >8%, compared with patients attaining a mean HbA1c ≤ 7%, showed an increased risk of developing the outcome in all the three early exposure periods assessed, with the highest risk observed in patients with mean HbA1c > 8% in the 3 years exposure period (hazard ratio [HR]1.33; 95% confidence interval [CI] 1.063-1.365). The introduction of SGLT-2i during the exposure periods of 0-1 and 0-2 years eliminated the association between poor glycemic control and the outcome (p for interaction 0.006 and 0.003, respectively, vs. patients with the same degree of glycemic control but not treated with these drugs). Interpretation: Among patients with newly diagnosed T2D and free of CVD at baseline, a poor glycemic control in the first three years after diagnosis is associated with an increased subsequent risk of CVD. This association is no longer evident when SGLT-2i are introduced in the first two years, suggesting that these drugs attenuate the phenomenon of legacy effect. An early treatment with these drugs might thus promote a long-lasting benefit in patients not attaining proper glycemic control after T2D diagnosis. Funding: This work was supported, in part, by the Italian Ministry of Health (Ricerca Corrente) to IRCCS MultiMedica.

Role of telemedicine during COVID-19 pandemic in type 2 diabetes outpatients: The AMD annals initiative.

AIMS: Telemedicine is advocated as a fundamental tool in modern clinical management. However, data on the effects of telemedicine vs face-to-face consultation on clinical outcomes in type 2 diabetes (T2DM) are still uncertain. This paper describes the use of telemedicine during the 2020 COVID-19 emergency and compares volume activity and quality indicators of diabetes care between face-to-face vs telemedicine counseling in the large cohort of T2DM patients from the AMD Annals Initiative. METHODS: Demographic and clinical characteristics, including laboratory parameters, rate of the screening of long-term complications, current therapies and the Q-score, a validated score that measures the overall quality of care, were compared between 364,898 patients attending face-to-face consultation and 46,424 on telemedicine, during the COVID-19 pandemic. RESULTS: Patients on telemedicine showed lower HbA1c levels (7.1 ± 1.2 % vs 7.3 ± 1.3 %, p < 0.0001), and they were less frequently treated with metformin, GLP1-RAs and SGLT2i and more frequently with DPP4i. The telemedicine group showed reduced monitoring of the various parameters considered as process indicators, especially, eye and foot examination. The proportion of patients with a good quality of care (Q score > 25) was higher among those receiving face-to-face consultation. Moreover, in the telemedicine group, all major clinical outcomes remained stable when further compared to those collected in the year 2019, when the same patients underwent a regular face-to-face consultation, suggesting that the care provided through telemedicine did not negatively affect the most important parameters. CONCLUSIONS: During the COVID-19 pandemic, telemedicine provided an acceptable quality of diabetes care, comparable to that of patients attending face-to-face consultation, although a less frequent screening of complications seems to have occurred in subjects consulted by telemedicine.

Health care organization and use of technological devices in people with diabetes in Italy: Results from a survey of the Working Group on Diabetes and Technology.

BACKGROUND AND AIM: The use of technology offers recognized benefits to persons with diabetes. The aim of this study was to evaluate the organization of healthcare facilities, the composition of the diabetes team, and the use of Continuous Subcutaneous Insulin Infusion (CSII) and Continuous Glucose Monitoring (CGM) in Italy. METHODS AND RESULTS: Diabetes care centers were asked to complete a web survey based on information collected in 2018. Sixty-one pediatric and 243 adult centers participated in the survey, accounting for 507,386 patients, mostly with type 2 diabetes (86.4%). Fifty-three percent of pediatric centers and 11% of adult centers reported a team composed of diabetologists, nurses, and psychologists. Overall, 13,204 patients (2.6%) were using CSII (95% with type 1 diabetes), and 28,936 (5.7%), were using CGM (74% with type 1 diabetes). When stratifying for the type of diabetes, 24% and 40.8% of patients with type 1 were using CSII and CGM, respectively, whereas low use of technology was reported for patients with type 2 and women with gestational diabetes. The percentage of adult and pediatric patients with type 1 diabetes on CSII and CGM was respectively 21% and 32%, and 35% and 57%. CONCLUSIONS: The spread of CGM and CSII increased in Italy between 2013 and 2018. However, the percentage of users is still lower than what is expected based on clinical indications for use of technology. The inadequate number of professionals in the diabetes care team and insufficient economic resources are relevant barriers to disseminating technology for diabetes management.

Prediction of complications of type 2 Diabetes: A Machine learning approach.

AIM: To construct predictive models of diabetes complications (DCs) by big data machine learning, based on electronic medical records. METHODS: Six groups of DCs were considered: eye complications, cardiovascular, cerebrovascular, and peripheral vascular disease, nephropathy, diabetic neuropathy. A supervised, tree-based learning approach (XGBoost) was used to predict the onset of each complication within 5 years (task 1). Furthermore, a separate prediction for early (within 2 years) and late (3-5 years) onset of complication (task 2) was performed. A dataset of 147.664 patients seen during 15 years by 23 centers was used. External validation was performed in five additional centers. Models were evaluated by considering accuracy, sensitivity, specificity, and area under the ROC curve (AUC). RESULTS: For all DCs considered, the predictive models in task 1 showed an accuracy > 70 %, and AUC largely exceeded 0.80, reaching 0.97 for nephropathy. For task 2, all predictive models showed an accuracy > 70 % and an AUC > 0.85. Sensitivity in predicting the early occurrence of the complication ranged between 83.2 % (peripheral vascular disease) and 88.5 % (nephropathy). CONCLUSIONS: Machine learning approach offers the opportunity to identify patients at greater risk of complications. This can help overcoming clinical inertia and improving the quality of diabetes care.

A guide for the use of LibreView digital diabetes platform in clinical practice: Expert paper of the Italian Working Group on Diabetes and Technology.

Wider access to continuous glucose monitoring systems, including flash glucose monitoring, has enabled people with diabetes to achieve lower HbA1c levels and reduce the amount of time they spend in hypoglycaemia or hyperglycaemia, and has improved their quality of life. An International Consensus Panel proposed different target glucose ranges and recommendations according to different ages and situations (adults, young people and children with type 1 or type 2 diabetes, as well as elderly people who are at higher risk of hypoglycaemia, and women with diabetes during pregnancy). In this expert opinion, we interpret the international recommendations in the context of established clinical practice for diabetes care, and propose three different step-by-step algorithms to help the healthcare professionals use the most innovative glucose metrics, including time in glucose ranges, glucose management indicator, coefficient of variation, and ambulatory glucose profile. In detail, we focus on glucose metrics as measured by the FreeStyle Libre system and as visualized on the LibreView digital diabetes platform to support appropriate interpretation of flash glucose monitoring data. This is specifically structured for healthcare professionals and general practitioners who may have a low level of confidence with diabetes technology, with the aim of optimizing diabetes management, ensuring effective use of healthcare resources and to maximise outcomes for people with diabetes.

Is it time to consider depression as a major complication of type 2 diabetes? Evidence from a large population-based cohort study.

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.

Metabolic disorders and gastroenteropancreatic-neuroendocrine tumors (GEP-NETs): How do they influence each other? An Italian Association of Medical Oncology (AIOM)/ Italian Association of Medical Diabetologists (AMD)/ Italian Society of Endocrinology (SIE)/ Italian Society of Pharmacology (SIF) multidisciplinary consensus position paper.

Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are a heterogeneous group of malignancies derived from neuroendocrine cells that can occur anywhere along the gastrointestinal tract. GEP-NETs incidence has been steadily increasing over the past decades, in parallel with the increasing incidence of the metabolic syndrome (MetS). It is not yet fully known whether the MetS components (such as obesity, dyslipidemia and type 2 diabetes) could be involved in the etiology of GEP-NETs or could influence their outcomes. In this review, a panel of experts of the Italian Association of Medical Oncology (AIOM), Italian Association of Medical Diabetologists (AMD), Italian Society of Endocrinology (SIE), and Italian Society of Pharmacology (SIF) provides a critical view of the experimental and clinical evidence about the association of GEP-NETs risk, outcomes, and therapies with the metabolic disorders typical of MetS. The potential therapeutic strategies for an optimal management of patients with both GEP-NETs and MetS are also discussed.

Clinical profiles and quality of care of adults with type 1 diabetes according to their cardiovascular Risk: A Multicenter, Observational, retrospective study.

AIMS: The European Society of Cardiology (ESC) recently defined cardiovascular risk classes for subjects with diabetes. Aim of this study was to explore the distribution of subjects with type 1 diabetes (T1D) by cardiovascular risk groups according to the ESC classification and to describe the quality indicators of care. METHODS: The study is based on data extracted from electronic medical records of patients treated at the 258 Italian diabetes centers participating in the AMD (Associazione Medici Diabetologi) Annals initiative. Patients with T1D were stratified by cardiovascular risk. Measures of intermediate outcomes, intensity/appropriateness of pharmacological treatment, and overall quality of care were evaluated. RESULTS: Overall, 29.368 subjects with type 1 diabetes (64.7% at very high cardiovascular risk, 28.5% at high risk and 6.8% at moderate risk) were evaluated. A lack of use of drugs in case of high values and an inadequate control despite the antihypertensive and lipid-lowering treatment was recognized. The overall quality of care tended to be lower as the level of cardiovascular risk increased. CONCLUSION: A large proportion of subjects with T1D is at high or very high risk. Antihypertensive and lipid-lowering treatment seem not adequately used. Several actions are necessary to improve the quality of care.

Temporal trends in intensification of glucose-lowering therapy for type 2 diabetes in Italy: Data from the AMD Annals initiative and their impact on clinical inertia.

AIMS: Clinical inertia negatively affects type 2 diabetes (T2DM) management. We evaluated changes in prescription patterns of hypoglycemic drugs during a 15 year-observation period in a large population of T2DM outpatients and their effect on metabolic control. METHODS: Data on all T2DM patients attending 258 Italian diabetes clinics between 2005 and 2019 were collected and analyzed for three 5-years periods. The addition of a second drug to metformin and the addition of a third agent to dual therapy were evaluated. RESULTS: During the observation period, 437.179 patients added a second drug to metformin. The intensification occurred earlier over time: patients had a shorter duration of disease and a better cardiovascular risk profile in the last five years, compared to previous periods. During the same period, 208.767 patients added a third agent to dual therapy. Duration of diabetes at the time of intensification decreased, and cardiovascular risk profile improved over time. Also HbA1c levels at the time of intensification decreased over time. CONCLUSIONS: in this large cohort of T2MD subjects during a long observation period an earlier treatment intensification and a better metabolic control were observed, suggesting an improved approach to clinical inertia.

The experience of patients with diabetes with the use of telemedicine and teleassistance services during the COVID-19 pandemic in Italy: Factors associated with perceived quality and willingness to continue.

AIM: The purpose of this study is to investigate the individual and contextual determinants of the perceived quality (PQ) of the telemedicine and teleassistance (TMTA) services and the willingness to continue (WC) with them among patients with diabetes using TMTA services during the COVID-19 pandemic in one large region of Italy. METHODS: A structured survey was administered to patients with type 1 and 2 diabetes who used TMTA during the first wave of the COVID-19 pandemic. The questionnaire contained questions on TMTA service experience and participants' socio-demographic characteristics. Multiple regression models investigated the independent factors associated with PQ and WC. RESULTS: The final analysis included 569 patients with diabetes (54.7% female), with an average age of 58.1 years. TMTA services' PQ and WC were high. A higher education and being unemployed were factors associated with an increased WC. Older age was negatively related to PQ. Perceived support from TMTA service was positively associated with PQ and WC. Perceived increase in disease self-management was positively associated with PQ and WC. CONCLUSIONS: Our study identified several determinants of PQ and WC. These socio-demographic and TMTA-related factors should be considered in the implementation of care pathways integrating in-person visits with TMTA.

Consensus report of the joint workshop of the Italian Society of Diabetology, Italian Society of Periodontology and Implantology, Italian Association of Clinical Diabetologists (SID-SIdP-AMD).

Periodontitis has been defined as the Sixth complication of Diabetes Mellitus. Since both diabetes mellitus and periodontitis have a high prevalence in the general population, the Italian Society of Diabetology, the Italian Society of Periodontology and Implantology and the Italian Association of Clinical Diabetologists revised the present scientific literature in the present consensus report. A bi-directional interaction was demonstrated: Patients affected by type 1 and type 2 diabetes have a higher prevalence of periodontitis than the general population, due to several metabolic factors (e.g. chronic hyperglycemia, autoimmunity, dietary and life-style factors); similarly, periodontitis predisposes to type 2 diabetes mellitus mainly via the increase of systemic cytokines release. Conversely, improvement of metabolic control of diabetic patients delay the progression of periodontitis as well as periodontitis treatment reduces glycosylated hemoglobin levels in blood. Due to the bi-directional causal interaction between periodontitis and diabetes mellitus, a strict collaboration among dentists and diabetologists is required and strongly recommended. The inter-societies consensus proposes specific flow-diagrams to improve the treatment of patients and management of the general population regarding the issue of periodontitis and diabetes.

Hundred-year experience with insulin and lipohypertrophy: An unresolved issue.

In the article recently published in Diab Res Clin Pract (1), we described one of the most exciting paths in the history of medicine from the perspective of diabetologists and people with type 1 diabetes. Such a history lasted 100 years, from the discovery of insulin to the most technologically advanced technologies aimed at making treatment as close to physiology and user-friendly as possible. Indeed, we are luckier than others because, by living in Italy and the USA, respectively, we have access to miniaturized and computerized insulin delivery systems, but this is not the case worldwide. Due to that, while receiving many favorable comments from colleagues and friends, we were encouraged to further expand on the issue and go deeper into insulin injection technique.

Economic Impact of COVID-19 Lockdown on Italian NHS: Focus on Diabetes Mellitus.

BACKGROUND: In Italy, the adoption of a total lockdown has generated almost total suspension of outpatient visits except for emergencies. Even after lockdown, the pandemic fear created additional barriers to access the health services. The aim of our study is to evaluate the economic impact of the lockdown for COVID-19 on public health in Italy, focusing on its effects on diabetic population. MATERIALS AND METHODS: We analyzed the impact of the lockdown on excess mortality and morbidity in the Italian diabetic population during 2020. The analysis was divided into several steps: a quantification of specialist visit reduction, the calculation of excess mortality in the diabetic population, the economic evaluation of the slowdown in the use of innovative diabetic therapies. Furthermore, the impact of the lockdown on the reduction of procedures and follow-up visits in diabetic population was evaluated. The overall impact of the pandemic and lockdown effects on costs and quality of life was then calculated. RESULTS: During 2020, a drop of 28% in patient access has been observed. Diabetic patients recorded a twice higher mortality value compared to general population (20.4% vs 10.2%). The analysis of market data revealed a slowdown in consumption of new antidiabetic therapies (-14%, 27% vs 41%). We estimated an expense of €26.6 million for NHS and a loss of 257 utilities in diabetic population due to the missed benefits related to slowdown in innovative antidiabetic drugs use and non-optimal follow-up and control of diabetes complications. In simulation scenarios, we also estimated an overall expenditure ranging from €38.7 to 94.0 million and a loss of 294-836 utilities. CONCLUSION: Diabetic population paid a high tribute to pandemic and lockdown, both in terms of number of deaths and burden of diabetic complications, together with an overall deterioration of quality of life.

Living with Insulin: The story of insulin from people with diabetes.

The history of insulin is rightly considered one of the most beautiful stories in medicine which goes even further than the extraordinary result of tens of millions of lives saved. Without a doubt, it constitutes a major achievement for medical science which, especially in the last 50 years, has led to an impressive acceleration in the succession of new treatment opportunities. We are going to describe the history of insulin therapy, the history we lived from two different angles as people living with type 1 diabetes, and obviously also as diabetologists, but as diabetologists with diabetes. Without a doubt, insulin and his story constitutes a major achievement for medical science which has led to an impressive acceleration in the succession of new treatment opportunities. Care opportunities that have not only allowed fundamental improvements in outcomes, but have also and above all impacted the quality of life of people with diabetes. Summarizing one hundred years of insulin is no simple endeavor. In our view, it would be easier, and probably more befitting, to focus on the last 50 years, namely the period we have lived closely and personally together with insulin. More to the point, these last 50 years have witnessed a dramatic acceleration of research and innovation. In our opinion, it is precisely the innovations in insulin therapy introduced from the last decades that fully justify the description of events in this incredible period as "the miracle of insulin". We'll describe how the most important innovations introduced in the last decades had impact on what we have nowadays, as patients and diabetologits: today, we can finally adapt insulin therapy to the patient's life or lifestyle, reversing what was the perception of patients until 20 years, when insulin was considered, by the most, as an obstacle, which seemed insurmountable to some, to a free and unconstrained life.

Clinical profiles and quality of care of subjects with type 2 diabetes according to their cardiovascular risk: an observational, retrospective study.

BACKGROUND: The European Society of Cardiology (ESC) recently defined cardiovascular risk classes for subjects with diabetes. Aim of this study was to explore the distribution of subjects with type 2 diabetes (T2D) by cardiovascular risk groups according to the ESC classification and to describe the quality indicators of care, with particular regard to cardiovascular risk factors. METHODS: The study is based on data extracted from electronic medical records of patients treated at the 258 Italian diabetes centers participating in the AMD Annals initiative. Patients with T2D were stratified by cardiovascular risk. General descriptive indicators, measures of intermediate outcomes, intensity/appropriateness of pharmacological treatment for diabetes and cardiovascular risk factors, presence of other complications and overall quality of care were evaluated. RESULTS: Overall, 473,740 subjects with type 2 diabetes (78.5% at very high cardiovascular risk, 20.9% at high risk and 0.6% at moderate risk) were evaluated. Among people with T2D at very high risk: 26.4% had retinopathy, 39.5% had albuminuria, 18.7% had a previous major cardiovascular event, 39.0% had organ damage, 89.1% had three or more risk factors. The use of DPP4-i markedly increased as cardiovascular risk increased. The prescription of secretagogues also increased and that of GLP1-RAs tended to increase. The use of SGLT2-i was still limited, and only slightly higher in subjects with very high cardiovascular risk. The overall quality of care, as summarized by the Q score, tended to be lower as the level of cardiovascular risk increased. CONCLUSIONS: A large proportion of subjects with T2D is at high or very high risk. Glucose-lowering drug therapies seem not to be adequately used with respect to their potential advantages in terms of cardiovascular risk reduction. Several actions are necessary to improve the quality of care.

Delphi-Based Consensus on Treatment Intensification in Type 2 Diabetes Subjects Failing Basal Insulin Supported Oral Treatment: Focus on Basal Insulin + GLP-1 Receptor Agonist Combination Therapies.

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.

Making Use of Comparable Health Data to Improve Quality of Care and Outcomes in Diabetes: The EUBIROD Review of Diabetes Registries and Data Sources in Europe.

Background: Registries and data sources contain information that can be used on an ongoing basis to improve quality of care and outcomes of people with diabetes. As a specific task of the EU Bridge Health project, we carried out a survey of diabetes-related data sources in Europe. Objectives: We aimed to report on the organization of different sources of diabetes information, including their governance, information infrastructure and dissemination strategies for quality control, service planning, public health, policy and research. Methods: Survey using a structured questionnaire to collect targeted data from a network of collaborating institutions managing registries and data sources in 17 countries in the year 2017. Results: The 18 data sources participating in the study were most frequently academic centres (44.4%), national (72.2%), targeting all types of diabetes (61.1%) covering no more than 10% of the target population (44.4%). Although population-based in over a quarter of cases (27.8%), sources relied predominantly on provider-based datasets (38.5%), fewer using administrative data (16.6%). Data collection was continuous in the majority of cases (61.1%), but 50% could not perform data linkage. Public reports were more frequent (72.2%) as well as quality reports (77.8%), but one third did not provide feedback to policy and only half published ten or more peer reviewed papers during the last 5 years. Conclusions: The heterogeneous implementation of diabetes registries and data sources hampers the comparability of quality and outcomes across Europe. Best practices exist but need to be shared more effectively to accelerate progress and deliver equitable results for people with diabetes.