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

Analysis of specialist doctors' behavior towards SGLT2 inhibitors prescription in Indonesia: A qualitative study

Sodium-glucose cotransporter-2 inhibitors (SGLT2is) have a broad range of clinical indications and are recommended by various guidelines for the management of diabetes, heart failure, and chronic kidney disease. However, prescribing rates for these agents are suboptimal towards various intended indications in many countries, including Indonesia. The aim of this study was to analyze the prescribing practices of SGLT2is among endocrinologists, cardiologists, and nephrologists in Indonesia. A qualitative method was utilized to provide a comprehensive understanding of this phenomenon. Semi-structured online interviews were performed with 18 participants, comprising seven specialized doctors as primary informants; eight key informants representing pharmacies, governmental bodies, and pharmaceutical marketing representatives; and three patients as supplementary informants. Furthermore, closed observations of two specialist doctors were undertaken as an additional data collection method. Informants were recruited using criterion and snowball sampling methods. The Theoretical Domains Framework was used as an interview guide; all interviews were audio visual-recorded, transcribed verbatim, and subsequently analyzed for thematic content with NVivo version 12. Seven themes emerged concerning the prescribing behavior of SGLT2is: socioeconomic status, therapeutic rationality, utilization barriers, utilization optimization, the urge to prescribe, therapeutic expectations and targets, and aspects of the health system and ethical considerations. Most informants possessed favorable perspectives regarding using SGLT2is when prescribed appropriately, yet specific elements necessitate enhancement to refine therapeutic justification, including initiatives to incorporate SGLT2is into the national formulary.

Exploring the benefits of alirocumab as lipid-lowering therapy in people with diabetes and very high cardiovascular risk

People with diabetes mellitus (DM) are at a higher risk (2-4 times) for cardiovascular (CV) death and atherosclerotic CV disease (ASCVD) than the general population. A multifactorial approach is recommended to reduce CV risk. Since low-density lipoprotein cholesterol (LDL-C) is a major causal and cumulative risk factor for ASCVD, the management of lipids is a fundamental element in global risk reduction. Intensive lipid lowering therapy (LLT), such as the addition of a proprotein convertase subtilisin/kexin type 9 inhibitor (PCSK9i), to achieve LDL-C goals and reduce the risk of first or recurrent CV events in people with DM at very high CV risk (VHCVR) of ASCVD (i.e. acute coronary syndrome, coronary artery disease, peripheral artery disease) is often required. Alirocumab, a monoclonal antibody against PCSK9, as lipid-lowering therapy offers significant CV benefits and a favourable safety profile in people with DM and a VHCVR, with or without previous CV events. This review highlights the role of LDL-C in the complex pathogenesis of atherosclerosis, summarises the guidelines for CV risk reduction related to LDL-C in patients with DM and a VHCVR, and focuses on the role of alirocumab in managing LDL-C and consequent CV risk reduction in these patients.

Lipid-lowering therapy and LDL target attainment in type 2 diabetes: trends from the Italian Associations of Medical Diabetologists database

BACKGROUND

Hypercholesterolemia is a major cardiovascular risk factor, particularly in individuals with type 2 diabetes (T2DM), where cardiovascular events are more prevalent. Adherence to low-density lipoprotein cholesterol (LDL-c) targets remains suboptimal globally and in Italy. This study evaluates trends in LDL-c target achievement and lipid-lowering treatment with a stratification by cardiovascular risk among Italian patients with type 2 diabetes from 2019 to 2022.

METHODS

A cross-sectional analysis was conducted using the AMD Annals database, encompassing over 700,000 patients with T2DM. Patients were categorized by cardiovascular risk levels, LDL-c ranges and therapy types (statins, ezetimibe, PCSK9 inhibitors). Linear trends across the four years were evaluated.

RESULTS

The percentage of patients achieving LDL-c targets improved across all risk levels. In very high-risk patients, LDL-c < 55 mg/dL was achieved by 16.3% in 2019, increasing to 23.6% in 2022. High-risk patients achieving LDL-c < 70 mg/dL rose from 20.3 to 26.6% over the same period. Use of PCSK9 inhibitors, particularly in combination with statins, was associated with the highest target achievement rates, reaching 62% in very high-risk patients by 2022. We observed a reduction of moderate-intensity statins use in favor of combination therapies across the four years. Despite this, nearly one-third of patients still had LDL-c levels ≥ 100 mg/dL in 2022.

CONCLUSIONS

While LDL-c management in Italian patients with T2DM has improved, significant gaps remain, particularly for very high-risk individuals. Expanding the use of advanced therapies like PCSK9 inhibitors and adhering more closely to guideline-based recommendations are critical to improve cardiovascular risk in this population.

Changes in insulin utilization in China from 2020 to 2022

AIM

To assess the variation in patterns of use of insulin and other antidiabetic medicines across China, both geographically and over time.

MATERIALS AND METHODS

Nationally, we calculated the relative change in antidiabetic medicine purchases between the first and last quarters of 2020 through 2022 based on the number of defined daily doses procured per quarter. We used annual data to analyse differences in antidiabetic medicine use and patterns across seven regions of China. Considering large regional variations, we used multifactor linear regression to preliminarily explore the possible factors influencing this variation.

RESULTS

Nationally, the procurement of antidiabetic medicines and insulin increased from 2020 to 2022, while the proportion of insulin among antidiabetic medicines remained stable at approximately 22%. Among all insulins, premixed insulin (human) was ranked first. Of the three subgroups of insulin, analogues were the most preferred and had the largest procurement, but different categories showed different trends in terms of purchases and proporation. Regionally, the growth rate of antidiabetic medicines, the proportion of insulin procurement and the preferred types of insulin across the seven regions were different. Regarding preliminary influencing factors, the level of education and owning a domestically funded producer had a positive effect on insulin procurement.

CONCLUSIONS

From 2020 to 2022, the procurement of insulin increased, which may be due to the increased attention for diabetes from the country and residents.However, the proportion of insulin among all antidiabetic medicines was essentially unchanged, while the use of some non-insulin hypoglycemic drugs increased significantly, especially the SGLT2i and GLP-1 RA. Given the economic and cultural diversity, Insulin procurement and utilization patterns varied greatly across the regions. Owning domestic enterprises potentially influences the procurement of insulin. Enhancing education to further improve the self-management of patients with diabetes is essential.

Severe Hypertriglyceridemia in Patients with Type 2 Diabetes Mellitus Participating in the AMD Annals Initiative

Background: Familial chylomicronemia syndrome (FCS) is a rare inherited condition due to lipoprotein lipase deficiency, characterized by hyperchylomicronemia and severe hypertriglyceridemia. Diagnosis is often delayed, thus increasing the risk of acute pancreatitis and hospitalization. Hypertriglyceridemia is a common finding in patients with type 2 diabetes (T2D), who may harbor FCS among the most severe forms. Aim of the Study: We investigated the prevalence and clinical characteristics associated with severe hypertriglyceridemia in a range indicative of FCS, in a large population of subjects with T2D. Methods: Within the large population of the AMD Annals Initiative, patients with T2D with a lipid profile suggestive of FCS [triglycerides >880 mg/dL and/or high-density lipoprotein (HDL)-cholesterol <22 mg/dL or non-HDL-cholesterol ≤70 mg/dL] and their clinical features have been identified. Results: Overall, 8592 patients had triglyceride values >880 mg/dL in a single examination, 613 in two examinations, and 34 in three or more measurements. Patients with high triglyceride levels were mostly male (80%), with a relatively young age (54 years), short duration of diabetes (6.3 years), and elevated hemoglobin A1c (HbA1c) levels (9.4%). By stratifying this group of patients according to the severity of hypertriglyceridemia, more severe hypertriglyceridemia (triglyceride levels ≥2000 mg/dL) was associated with an even younger age (52 vs. 54 years), even higher mean HbA1c values (10.0% vs. 9.4%), and significantly higher HDL-cholesterol levels (37.9 vs. 32.4 mg/dL; P < 0.0001). Patients with persistently elevated triglyceride levels (n = 34), on three measurements, had a younger age; lower body mass index, HbA1c, and HDL-cholesterol levels; more frequent use of fibrates and insulin; and a higher prevalence of major cardiovascular events. Conclusions: Severe hypertriglyceridemia is a frequent condition in outpatients with T2D participating in the AMD Annals Initiative, and it is associated with male sex, young age, short disease duration, and a worse glycemic profile. Among patients with persistent severe hypertriglyceridemia, hidden FCS may be present.

Quality of care and clinical inertia in the management of cardiovascular risk factors in patients with type 1 and type 2 diabetes: data from AMD annals

BACKGROUND

Cardiovascular disease is the leading cause of morbidity and mortality among patients with diabetes, and for this reason, all guidelines for CV risk management provide the same targets in controlling traditional CV risk factors in patients with type 1 or type 2 diabetes at equal CV risk class. Aim of our study was to evaluate and compare CV risk management in patients with type 1 and type 2 diabetes included in AMD Annals Database paying particular attention to indicators of clinical inertia.

METHODS

This was a multicenter, observational, retrospective study of AMD Annals Database during year 2022. Patients with diabetes were stratified on the basis of their cardiovascular risk, according to ESC-EASD guidelines. The proportion of patients not treated with lipid-lowering despite LDL cholesterol > to 100 mg/dl or the proportion of patients not treated with antihypertensive drug despite BP > 140/90 mmhg and proportion of patients with proteinuria not treated with angiotensin converting enzyme inhibitors or angiotensinogen receptor blockers (ACE/ARBs) were considered indicators of clinical inertia. The proportion of patients reaching at the same time HbA1c < 7% LDL < 70 mg/dl and BP < 130/80 mmhg were considered to have good multifactorial control. Overall quality of health care was evaluated by the Q-score.

RESULTS

Using the inclusion criteria and stratifying patients by ESC/EASD Cardiovascular Risk categories, we included in the analysis 118.442 patients at High Cardiovascular risk and 416.246 patients at Very High Cardiovascular risk. The proportion of patients with good multifactorial risk factor control was extremely low in both T1D and T2D patients in each risk class. At equal risk class, the patients with T1D had lower proportion of subjects reaching HbA1c, LDL, or Blood Pressure targets. Indicators of clinical inertia were significantly higher compared with patients with T2D at equal risk class. Data regarding patients with albuminuria not treated with RAAS inhibitors were available only for those at Very High risk and showed that the proportion of patients not treated was again significantly higher in patients with T1DM.

CONCLUSIONS

In conclusion, this study provides evidence of wide undertreatment of traditional cardiovascular risk factors among patients with diabetes included in AMD Annals Database. Undertreatment seems to be more pronounced in individuals with T1D compared to those with T2D and is frequently due to clinical inertia.

The quality of care in type 1 and type 2 diabetes - A 2023 update of the AMD Annals initiative

AIMS

An initiative of continuous monitoring of the quality of diabetes care, promoted by the Association of Medical Diabetologists, is in place in Italy since 2006 (AMD Annals). The initiative was effective in improving quality of care indicators, assessed periodically through standardized measures. Here, we show the 2023 AMD Annals data on type 2 (T2D) and type 1 (T1D) diabetes.

METHODS

A network of over 1/3 of diabetes centers in Italy periodically extracts anonymous data from electronic medical records, using a standardized software. Process, treatment and outcome indicators, and a validated score of overall care, the Q-score, were evaluated.

RESULTS

296 centers provided data on 573,164 T2D (mean age 69.7 ± 11.2 years) and 42,611 T1D subjects (mean age 48.6 ± 16.9 years). A HbA1c value ≤ 7.0 % was documented in 56.3 % of patients with T2D and 35.9 % of those with T1D. Only 6.6 % of T2D patients and 3.5 % of those with T1D reached the composite outcome of HbA1c ≤ 7.0 % + LDL-C < 70 mg/dl + BP < 130/80 mmHg. Notably, only 2.8 % and 3.2 % of T2D and T1D patients, respectively, showed a Q score < 15, which correlates with an 80 % higher risk of incident CVD events compared to scores > 25.

CONCLUSIONS

We documented an overall good quality of care in both T1D and T2D subjects. However, the failure to achieve the targets of the main risk factors, especially if combined, in a still too large proportion of patients testify the difficulty to apply the more and more stringent indications recommended by guidelines in the everyday clinical practice.

Hospitalisation for herpes zoster in people with and without diabetes: A 10-year-observational study

AIMS

This study explores the association between Herpes Zoster (HZ) hospitalizations and diabetes in Piedmont, Italy from 2010 to 2019. Focusing on the burden of HZ hospitalizations in diabetic and non-diabetic groups, it aims to identify risk factors in diabetics to enhance prevention strategies.

METHODS

In a two-phase study, we first compared age-standardized HZ hospitalization rates between diabetic and non-diabetic individuals from 2010 to 2019. We then examined hospitalization risk factors for HZ within a diabetic patient cohort managed by regional diabetes clinics.

RESULTS

Of 3,423 HZ hospitalizations in 2010-2019, 17.9 % (613 cases) were diabetic patients, who exhibited higher hospitalization rates (15.9 to 6.0 per 100,000) compared to non-diabetese individuals. Among diabetics subjects risk factors for HZ hospitalization included age over 65, obesity (BMI > 30), and poor glycemic control (HbA1c > 8.0 %). These patients had a 40 % increased rehospitalization risk and a 25 % higher risk of severe complications, such as stroke and myocardial infarction, post-HZ.

CONCLUSIONS

Diabetes markedly increases HZ hospitalization rates, rehospitalization, and complication risks. These findings underscore the need for preventive strategies, especially improved glycemic control among high-risk diabetic patients, to inform public health policies and clinical practices aimed at mitigating HZ's impact on this population.

To What Extent Does Cardiovascular Risk Classification of Patients with Type 2 Diabetes Differ between European Guidelines from 2023, 2021, and 2019? A Cross-Sectional Study

Background and Objectives: Type 2 Diabetes (T2DM) is intricately associated with an increased cardiovascular (CV) risk, highlighting the imperative for tailored intervention in the prevention and management of CV diseases. To assess the CV risk and subsequent interventions in patients with diabetes, the European Society of Cardiology (ESC) has been consistently developing and updating specific guidelines for risk assessment and patient management since 2019. The 2023 risk classification method has significantly changed, introducing a novel probability-based assessment through the implementation of SCORE2-Diabetes instrument. This marks a shift from the risk factor-based classification employed in the 2019 and 2021 methods, representing an innovative approach in risk assessment for individuals with T2DM. This study aims to evaluate the differences in the CV risk classification among hospitalized patients with T2DM using the three proposed methods within the Romanian population, a European population considered to be at very high cardiovascular risk. Materials and Methods: in a consecutive-case, population-based study design, 70 patients hospitalized with T2DM from a European population characterized by very high CV risk were assessed for CV risk using the three proposed methods. The differences between these classifications were subsequently analyzed. Results: In the study group, according to 2023 classification, one patient (1.4%) was classified with moderate CV risk, eight (11.4%) with high cardiovascular risk, and sixty-one (87.2%) with very high cardiovascular risk. A total of 36 patients (51.4%) were classified differently compared to 2021 criteria, the differences being statistically significant (p = 0.047), while 13 (18.6%) were different compared to 2019 criteria, the differences being statistically non-significant (p = 0.731). By comparing the 2021 to the 2019 ESC Guidelines recommendations, 40 patients had a one-step decrease in cardiovascular risk category, from very high to high risk. Conclusions: Most patients included in the analysis were classified as very high CV risk (87.2%). Within a European population characterized by very high CV risk, the SCORE2-Diabetes instrument proves to be a valuable tool, contributing to most step-ups in CV risk classes within the 2023 classification. In a very-high-risk demographic, the 2023 algorithm resulted in different classifications in contrast to the 2021 method but similar classifications observed with the 2019 method.

Current Status of Metabolic Compliance and Risk of Cardiovascular Disease in Patients with Type 2 Diabetes in the Zhuang Population in China

Introduction

This study aimed to investigate the blood glucose, blood pressure, and blood lipid status in Zhuang patients with T2DM and to analyze the correlation between compliance with metabolic monitoring and cardiovascular risk factors.

Methods

A total of 1975 Zhuang patients with T2DM were evaluated in four Class III Grade A hospitals in three prefecture-level cities in the Guangxi Zhuang Autonomous Region between January and August 2022. Laboratory indicators, lifestyle, and demographic characteristics were collected.

Results

The compliance rates for blood glucose, blood pressure, and blood lipids were 26.08%, 45.77%, and 30.58%, respectively, and only 5.06% of the patients reached the standard in all three indices. The compliance rates for blood glucose, blood pressure, and blood lipids in the CVD group were 32.92%, 21.74%, and 9.94%, respectively. In the CVD group, the usage rates of hypoglycemic, antihypertensive, and lipid-lowering drugs were 77.54%, 3.17%, and 4.11%, respectively. Binary logistic regression analysis showed that older age (OR = 1.033, 95% CI [1.016, 1.050]), female (OR = 0.402, 95% CI [0.260, 0.621]), smoke (OR = 1.994, 95% CI [1.361, 2.922]), blood pressure noncompliance + use of antihypertensive drugs (OR = 0.348, 95% CI [0.230, 0.527]), and blood lipid noncompliance + use of lipid-lowering drugs (OR = 0.244, 95% CI [0.142, 0.417]) were risk factors for CVDs, and moderate-intensity exercise (OR = 0.439, 95% CI [0.300,0.640]) was protective against CVD.

Conclusions

Older age, female, smoke, blood lipid levels, and blood pressure noncompliance were risk factors for CVD while moderate-intensity exercise was observed to be protective.

Unraveling the role of VLDL in the relationship between type 2 diabetes and coronary atherosclerosis: a Mendelian randomization analysis

Background

The causal link between Type 2 diabetes (T2D) and coronary atherosclerosis has been established through wet lab experiments; however, its analysis with Genome-wide association studies (GWAS) data remains unexplored. This study aims to validate this relationship using Mendelian randomization analysis and explore the potential mediation of VLDL in this mechanism.

Methods

Employing Mendelian randomization analysis, we investigated the causal connection between T2D and coronary atherosclerosis. We utilized GWAS summary statistics from European ancestry cohorts, comprising 23,363 coronary atherosclerosis patients and 195,429 controls, along with 32,469 T2D patients and 183,185 controls. VLDL levels, linked to SNPs, were considered as a potential mediating causal factor that might contribute to coronary atherosclerosis in the presence of T2D. We employed the inverse variance weighted (IVW), Egger regression (MR-Egger), weighted median, and weighted model methods for causal effect estimation. A leave-one-out sensitivity analysis was conducted to ensure robustness.

Results

Our Mendelian randomization analysis demonstrated a genetic association between T2D and an increased coronary atherosclerosis risk, with the IVW estimate at 1.13 [95% confidence interval (CI): 1.07-1.20]. Additionally, we observed a suggestive causal link between T2D and VLDL levels, as evidenced by the IVW estimate of 1.02 (95% CI: 0.98-1.07). Further supporting lipid involvement in coronary atherosclerosis pathogenesis, the IVW-Egger estimate was 1.30 (95% CI: 1.06-1.58).

Conclusion

In conclusion, this study highlights the autonomous contributions of T2D and VLDL levels to coronary atherosclerosis development. T2D is linked to a 13.35% elevated risk of coronary atherosclerosis, and within T2D patients, VLDL concentration rises by 2.49%. Notably, each standard deviation increase in VLDL raises the likelihood of heart disease by 29.6%. This underscores the significant role of lipid regulation, particularly VLDL, as a mediating pathway in coronary atherosclerosis progression.

AWARE A novel web application to rapidly assess cardiovascular risk in type 2 diabetes mellitus

AIM

To describe the development of the AWARE App, a novel web application for the rapid assessment of cardiovascular risk in Type 2 Diabetes Mellitus (T2DM) patients. We also tested the feasibility of using this App in clinical practice.

METHODS

Based on 2019 European Society of Cardiology/European Association for the Study of Diabetes criteria for cardiovascular risk stratification in T2DM, the AWARE App classifies patients into very high (VHCVR), high (HCVR) and moderate (MCVR) cardiovascular risk categories. In this retrospective clinical study, we employed the App to assess the cardiovascular risk of T2DM patients, while also collecting data about current glycaemic control and pharmacological treatment.

RESULTS

2243 T2DM consecutive patients were evaluated. 72.2% of the patients were VHCVR, 8.9% were HCVR, 0.8% were MCVR while 18.2% did not fit into any of the risk categories and were classified as "moderate-to-high" (MHCVR). Compared with the other groups, patients with VHCVD were more frequently ≥ 65 years old (68.9%), with a longer disease duration (≥ 10 years [56.8%]), a history of cardiovascular disease (41.4%), organ damage (35.5%) and a higher numbers of cardiovascular risk factors. Patients with MHCVD generally had disease duration < 10 years (96%), younger age (50-60 years [55%]), no history of cardiovascular disease, no organ damage, and 1-2 cardiovascular risk factors (89%). Novel drugs such as Glucagon Like Peptyde 1 Receptor Agonists or Sodium-Glucose Linked Transporter 2 inhibitors were prescribed only to 26.3% of the patients with VHCVR and to 24.7% of those with HCVR. Glycaemic control was unsatisfactory in this patients population (HbA1c 7.5 ± 3.4% [58.7 ± 13.4 mmol/mol]).

CONCLUSIONS

The AWARE App proved to be a practical tool for cardiovascular risk stratification of T2DM patients in real-world clinical practice.

Uncovering Predictors of Lipid Goal Attainment in Type 2 Diabetes Outpatients Using Logic Learning Machine: Insights from the AMD Annals and AMD Artificial Intelligence Study Group

Identifying and treating lipid abnormalities is crucial for preventing cardiovascular disease in diabetic patients, yet only two-thirds of patients reach recommended cholesterol levels. Elucidating the factors associated with lipid goal attainment represents an unmet clinical need. To address this knowledge gap, we conducted a real-world analysis of the lipid profiles of 11.252 patients from the Annals of the Italian Association of Medical Diabetologists (AMD) database from 2005 to 2019. We used a Logic Learning Machine (LLM) to extract and classify the most relevant variables predicting the achievement of a low-density lipoprotein cholesterol (LDL-C) value lower than 100 mg/dL (2.60 mmol/L) within two years of the start of lipid-lowering therapy. Our analysis showed that 61.4% of the patients achieved the treatment goal. The LLM model demonstrated good predictive performance, with a precision of 0.78, accuracy of 0.69, recall of 0.70, F1 Score of 0.74, and ROC-AUC of 0.79. The most significant predictors of achieving the treatment goal were LDL-C values at the start of lipid-lowering therapy and their reduction after six months. Other predictors of a greater likelihood of reaching the target included high-density lipoprotein cholesterol, albuminuria, and body mass index at baseline, as well as younger age, male sex, more follow-up visits, no therapy discontinuation, higher Q-score, lower blood glucose and HbA1c levels, and the use of anti-hypertensive medication. At baseline, for each LDL-C range analysed, the LLM model also provided the minimum reduction that needs to be achieved by the next six-month visit to increase the likelihood of reaching the therapeutic goal within two years. These findings could serve as a useful tool to inform therapeutic decisions and to encourage further in-depth analysis and testing.

Effectiveness and Safety of iGlarLixi in People with Type 2 Diabetes in Adriatic Region Countries: ENSURE-ADR, a Real-World Study

INTRODUCTION

The efficacy of iGlarLixi, a fixed-ratio combination of basal insulin glargine 100 units/mL (iGlar) and the short-acting GLP-1 RA lixisenatide (Lixi), was established in people with type 2 diabetes (T2D) who were advancing therapy from oral antidiabetic drugs (OADs) and basal insulin (BI). This retrospective study aimed to evaluate the effectiveness and safety of iGlarLixi using real-world data from people with T2D in the Adriatic region countries.

METHODS

This was a non-interventional, retrospective, multicenter, cohort study with the collection of pre-existing data at iGlarLixi initiation and after 6 months of treatment in real-world clinical and ambulatory settings. The primary outcome was the change in glycated hemoglobin (HbA_1c) at 6 months after iGlarLixi initiation. Key secondary outcomes included the proportion of people achieving HbA_1c < 7.0%, the effect of iGlarLixi on fasting plasma glucose (FPG), body weight and body mass index (BMI).

RESULTS

In this study, 262 participants (130 in Bosnia and Herzegovina, 72 in Croatia and 60 in Slovenia) initiated treatment with iGlarLixi. The participants had a mean ± SD age of 66.2 ± 7.9 years and the majority were women (58.0%). The mean baseline HbA_1c was 8.9 ± 1.7% and the mean body weight was 94.3 ± 18.0 kg. After 6 months of treatment, the reduction in the mean HbA_1c was statistically significant (1.11 ± 1.61%, 95% confidence internal [CI] 0.92, 1.31; p < 0.001), and the proportion of participants who achieved HbA_1c < 7.0% had significantly increased from baseline (8.0-26.0%, p < 0.001). The change in mean FPG (mmol/L) levels was significant (2.7 ± 4.4 [95% CI 2.1, 3.2; p < 0.001]). The mean ± SD body weight and BMI were significantly reduced by 2.9 ± 4.3 kg (95% CI 2.3, 3.4; p < 0.001) and 1.3 ± 4.4 kg/m² (95% CI 0.7, 1.8; p < 0.001), respectively. Two serious hypoglycemia episodes and one adverse gastrointestinal effect (nausea) were registered.

CONCLUSIONS

This real-world study demonstrated the effectiveness of iGlarLixi for improving glycemic control and decreasing body weight in people with T2D who need to advance therapy from OADs or insulin.

The AMD ANNALS: A continuous initiative for the improvement of type 2 diabetes care

AIMS

Since 2006, the Italian AMD (Associations of Medical Diabetologists) Annals Initiative promoted a continuous monitoring of the quality of diabetes care, that was effective in improving process, treatment and outcome indicators through a periodic assessment of standardized measures. Here, we show the 2022 AMD Annals data on type 2 diabetes (T2D).

METHODS

A network involving ∼1/3 of diabetes centers in Italy periodically extracts anonymous data from electronic clinical records, by a standardized software. Process, treatment and outcome indicators, and a validated score of overall care, the Q-score, were evaluated.

RESULTS

295 centers provided the annual sample of 502,747 T2D patients. Overall, HbA1c value ≤7.0% was documented in 54.6% of patients, blood pressure <130/80 mmHg in 23.0%, and LDL-cholesterol levels <70 mg/dl in 34.3%, but only 5.2% were at- target for all the risk factors. As for innovative drugs, 29.0% of patients were on SGLT2-i, and 27.5% on GLP1-RAs. In particular, 59.7% were treated with either GLP1-RAs or SGLT2-i among those with established cardiovascular disease (CVD), 26.6% and 49.3% with SGLT2-i among those with impaired renal function and heart failure, respectively. Notably, only 3.2% of T2D patients showed a Q score <15, which correlates with a 80% higher risk of incident CVD events compared to scores >25.

CONCLUSIONS

The 2022 AMD Annals data show an improvement in the use of innovative drugs and in the overall quality of T2D care in everyday clinical practice. However, additional efforts are needed to reach the recommended targets for HbA1c and major CVD risk factors.

Disease patterns of coronary heart disease and type 2 diabetes harbored distinct and shared genetic architecture

BACKGROUND

Coronary heart disease (CHD) and type 2 diabetes (T2D) are two complex diseases with complex interrelationships. However, the genetic architecture of the two diseases is often studied independently by the individual single-nucleotide polymorphism (SNP) approach. Here, we presented a genotypic-phenotypic framework for deciphering the genetic architecture underlying the disease patterns of CHD and T2D.

METHOD

A data-driven SNP-set approach was performed in a genome-wide association study consisting of subpopulations with different disease patterns of CHD and T2D (comorbidity, CHD without T2D, T2D without CHD and all none). We applied nonsmooth nonnegative matrix factorization (nsNMF) clustering to generate SNP sets interacting the information of SNP and subject. Relationships between SNP sets and phenotype sets harboring different disease patterns were then assessed, and we further co-clustered the SNP sets into a genetic network to topologically elucidate the genetic architecture composed of SNP sets.

RESULTS

We identified 23 non-identical SNP sets with significant association with CHD or T2D (SNP-set based association test, P < 3.70 × [Formula: see text]). Among them, disease patterns involving CHD and T2D were related to distinct SNP sets (Hypergeometric test, P < 2.17 × [Formula: see text]). Accordingly, numerous genes (e.g., KLKs, GRM8, SHANK2) and pathways (e.g., fatty acid metabolism) were diversely implicated in different subtypes and related pathophysiological processes. Finally, we showed that the genetic architecture for disease patterns of CHD and T2D was composed of disjoint genetic networks (heterogeneity), with common genes contributing to it (pleiotropy).

CONCLUSION

The SNP-set approach deciphered the complexity of both genotype and phenotype as well as their complex relationships. Different disease patterns of CHD and T2D share distinct genetic architectures, for which lipid metabolism related to fibrosis may be an atherogenic pathway that is specifically activated by diabetes. Our findings provide new insights for exploring new biological pathways.

Management of type 2 diabetes with a treat-to-benefit approach improved long-term cardiovascular outcomes under routine care

BACKGROUND

Results of cardiovascular outcome trials enabled a shift from "treat-to-target" to "treat-to-benefit" paradigm in the management of type 2 diabetes (T2D). However, studies validating such approach are limited. Here, we examined whether treatment according to international recommendations for the pharmacological management of T2D had an impact on long-term outcomes.

METHODS

This was an observational study conducted on outpatient data collected in 2008-2018 (i.e. prior to the "treat-to-benefit" shift). We defined 6 domains of treatment based on the ADA/EASD consensus covering all disease stages: first- and second-line treatment, intensification, use of insulin, cardioprotective, and weight-affecting drugs. At each visit, patients were included in Group 1 if at least one domain deviated from recommendation or in Group 2 if aligned with recommendations. We used Cox proportional hazard models with time-dependent co-variates or Cox marginal structural models (with inverse-probability of treatment weighing evaluated at each visit) to adjust for confounding factors and evaluate three outcomes: major adverse cardiovascular events (MACE), hospitalization for heart failure or cardiovascular mortality (HF-CVM), and all-cause mortality.

RESULTS

We included 5419 patients, on average 66-year old, 41% women, with a baseline diabetes duration of 7.6 years. Only 11.7% had pre-existing cardiovascular disease. During a median follow-up of 7.3 years, patients were seen 12 times at the clinic, and we recorded 1325 MACE, 1593 HF-CVM, and 917 deaths. By the end of the study, each patient spent on average 63.6% of time in Group 1. In the fully adjusted model, being always in Group 2 was associated with a 45% lower risk of MACE (HR 0.55; 95% C.I. 0.46-0.66; p < 0.0001) as compared to being in Group 1. The corresponding HF-CVM and mortality risk were similar (HR 0.56; 95%CI 0.47-0.66, p < 0.0001 and HR 0.56; 95% C.I. 0.45-0.70; p < 0.0001. respectively). Sensitivity analyses confirmed these results. No single domain individually explained the better outcome of Group 2, which remained significant in all subgroups.

CONCLUSION

Managing patients with T2D according to a "treat-to-benefit" approach based international standards was associated with a lower risk of MACE, heart failure, and mortality. These data provide ex-post validation of the ADA/EASD treatment algorithm.

Clinical complexity and diabetes: a multidimensional approach for the management of cardiorenal metabolic syndrome

Diabetes mellitus (DM) is one of the fastest-growing health emergencies of the 21st century, and one of the chronic diseases with the highest socio-economic impact on health care systems. DM is the main cause of chronic kidney disease, and is associated with a significant increase in cardiovascular risk and clinical and care complexity. The presence of a constellation of cardiac, metabolic, and renal diseases, in a complex patient with DM, constitutes the CardioRenal Metabolic Syndrome (CRMS). The management of these patients should include a paradigm shift from a reactive strategy to a proactive approach, and the integration of territorial, hospital and social assistance services according to the Chronic Care Model (CCM). Complexity science suggests an alternative model in which disease and health arise from complex, dynamic, and unique interactions among the different components of the overall system. The hospital should be viewed as a highly specialized hub of the chronic care system, which interacts with the outpatient specialist and primary care. In order to create effective communication among territorial care units and highly specialized hospitals, levels of clinical complexity are here proposed and included in a multidimensional management model for the complex patient with diabetes and cardiorenal comorbidity.

Effects of semaglutide on cardiovascular risk factors and eating behaviors in type 2 diabetes

AIMS

Aim of the present study was to evaluate the impact of once-weekly semaglutide on different end-points indicative of metabolic control, cardiovascular risk, dietary behavior, and treatment satisfaction in T2DM.

METHODS

This was a retrospective observational study conducted in a diabetes clinic. Changes in HbA1c, fasting blood glucose (FBG), weight, blood pressure, lipid profile, and number of antihypertensive drugs at 32 weeks (T1) after the first prescription of semaglutide (T0) were analyzed. Furthermore, at T1 patients were asked to fill-in the Diabetes Treatment Satisfaction Questionnaire (DTSQ) and the Control of Eating Questionnaire (COEQ).

RESULTS

Overall, 104 patients were identified (mean age 63.6 ± 10.4 years, 58.7% men, diabetes duration 12.7 ± 8.7 years). After 32 weeks of treatment with semaglutide, HbA1c levels were reduced by 1.38%, FBG by - 56.53 mg/dl, weight by 6.03 kg. Systolic and diastolic blood pressure, total, HDL-, LDL-, and non -HDL cholesterol, and triglycerides significantly improved. The number of glucose-lowering and antihypertensive drugs also decreased. At T1, DTSQ score was 32.23 ± 1.44, whereas COEQ indicated low levels of hunger and good control of eating.

CONCLUSIONS

The study documented benefits of semaglutide on metabolic control and multiple CV risk factors, simplification of therapeutic schemes and high satisfaction with diabetes treatment, and eating behaviors indicative of healthy diet and reduced food intake.

Sex- and gender-differences in chronic long-term complications of type 1 and type 2 diabetes mellitus in Italy

AIMS

This review summarizes the contribution of Italian diabetologists devoted to a better understanding of the complex relationship linking sex/gender and long-term complications of type 1 (T1DM) and type 2 diabetes (T2DM) over the last fifteen years.

DATA SYNTHESIS

Microvascular and macrovascular complications of diabetes show sex- and gender-related differences, involving pathophysiological mechanisms, epidemiological features and clinical presentation, due to the interaction between biological and psychosocial factors. These differences greatly impact on the progression of diabetes and its long-term complications, especially in the cardiovascular, renal and liver districts.

CONCLUSION

A better knowledge of such sex- and gender-related characteristics is required for a more precise patient phenotypization, and for the choice of a personalized antihyperglycemic treatment. Despite such mounting evidence, current diabetes clinical guidelines do not as yet adequately consider sex/gender differences.

Risk of all-cause mortality according to the European Society of Cardiology risk categories in individuals with type 2 diabetes: the Renal Insufficiency And Cardiovascular Events (RIACE) Italian Multicenter Study

AIMS

The 2019 and 2021 European Society of Cardiology (ESC) classifications stratified patients with type 2 diabetes into three categories according to the 10-year risk of death from atherosclerotic cardiovascular disease (ASCVD). The very high-risk category included individuals with established ASCVD, target organ damage (TOD), and/or, in the 2019 classification only, ≥ 3 additional ASCVD risk factors. We assessed risk of all-cause mortality according to the two ESC classifications in the Renal Insufficiency And Cardiovascular Events cohort.

METHODS

Participants (n = 15,773) were stratified based on the presence of ASCVD, TOD, and ASCVD risk factors at baseline (2006-2008). Vital status was retrieved in 2015.

RESULTS

Less than 1% of participants fell in the moderate-risk category. According to the 2019 classification, ~ 1/3 fell in the high-risk and ~ 2/3 in the very high-risk category, whereas the opposite occurred with the 2021 classification. Mortality risk increased across categories according to both classifications. Among very high-risk patients, mortality was much lower in those with ≥ 3 additional ASCVD risk factors and almost equal in those with TOD and ASCVD ± TOD, using the 2019 classification, whereas it was much higher in those with ASCVD + TOD and, to a lesser extent, TOD only than in those with ASCVD only, using the 2021 classification.

CONCLUSIONS

The negligible number of moderate-risk patients suggests that these classifications might overestimate risk of ASCVD death. Downgrading patients with ≥ 3 additional ASCVD risk factors to the high-risk category is consistent with mortality data. Risk of death is very high in the presence of TOD irrespective of established ASCVD.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT00715481.

Challenges and opportunities in real-world evidence on the renal effects of sodium-glucose cotransporter-2 inhibitors

With increasing population aging and prevalence of type 2 diabetes (T2D) worldwide, prevention of diabetic complications remains a major unmet need. While cardiovascular outcomes of diabetes are improving over time, diabetic kidney disease (DKD) still leads to an exceedingly high rate of end-stage kidney disease (ESKD). A game-changing opportunity is offered by treatment with sodium-glucose cotransporter-2 (SGLT2) inhibitors. Randomized controlled trials (RCTs) have indisputably shown that SGLT2 inhibitors reduce the rate of DKD progression, the decline in estimated glomerular filtration rate (eGFR), and the development of ESKD. In parallel, SGLT2 inhibitors improve cardiovascular outcomes, especially the risk of hospitalization for heart failure. Real-world studies (RWSs) have largely confirmed the findings of RCTs in broader populations of subjects with T2D followed under routine care. In the present paper, we review RWSs exploring the renal effects of SGLT2 inhibitors and highlight the most critical challenges that can be encountered in designing and conducting such studies. Channelling bias (confounding by indication), time-lag bias, conditioning on the future, database heterogeneity, linearity of eGFR change over time, and duration of observation are critical issues that may undermine the robustness of RWS findings. We then elaborate on the new opportunities to overcome such limitations by describing the design and objectives of the DARWIN (DApagliflozin Real-World evIdeNce)-Renal study, a new RWS promoted by the Italian Diabetes Society. Fine-tuning of methods for comparative observational research will improve evidence derived from RWSs on the renal effects of SGLT2 inhibitors, aiding the evolving discussion regarding the place of SGLT2 inhibitors in T2D treatment algorithms in different stages of DKD.

Glycemic control outcome in patients with type 2 diabetes mellitus: chronic care management support of family care team in Thailand

Purpose

We aimed to ascertain diabetic self-management predictors in the family care team chronic care model, and to analyze the factors associated with glycemic control.

Methods

A cross-sectional study was conducted with type 2 diabetes mellitus (T2DM) patients at Pak Phun Municipality Hospital, Thailand, from 2019 to 2020. The 282 participants' compraised 16 health care providers, 128 healthy volunteers, and 138 T2DM patients. Data were collected using a questionnaire. The statistics were descriptive, association and multiple regression were tested.

Results

Of the T2DM patients, 68.1% were female, overweight (body mass index 25.8 ± 3.99 kg/m²), had diabetic periods of 8.2 ± 4.65 y, high fasting plasma glucose (FPG) (139.3 ± 44.59 mg/dL), uncontrolled A1C (7.8 ± 1.57%), and presented with diabetic nephropathy (61.6%). Diabetic self-management was at a high level (76.8%). The factors significantly associated with A1C were income (p < 0.001), low-density lipoprotein (p < 0.05) estimated glomerular filtration rate, and FPG (p < 0.001). A1C was predicted by self-efficacy (SE) (38.0%; p < 0.001), social support (SO) (40.8%; p < 0.001), health providers evaluated by the Assessment of Chronic Illness Care (ACIC) (22.8%; p < 0.001), and patients' perception by Patient Assessment of Care for Chronic Conditions (PACIC) (17%; p < 0.01).

Conclusion

In order to reduce diabetes complications, the family care team played a critical role. Self-efficacy and social support were important factors in managing diabetes. The chronic care model begins with a procedure of self-management support and intervention by stakeholders such as caregivers in the community.

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.

Identification of the Inappropriate Clinical Actions (DON'T) to Improve the Management of Patients with Type 2 Diabetes Failing Basal Insulin Supported Oral Treatment: Results of Survey for a Panel of Diabetes Specialists in Italy

INTRODUCTION

Despite the development of several recommendations, glycemic control in a large proportion of patients with type 2 diabetes, including those treated with insulin, remains suboptimal. This study is aimed to identify a set of actions to promote the reduction of inappropriate clinical practices in type 2 diabetes failing basal insulin supported oral therapy (BOT).

METHODS

A panel of diabetes specialists was assembled to identify a list of ten corrective actions, "things not to do," for the management of type 2 diabetes: five concerning treatments, procedures and diagnostic tests and five about relationship, communication and information. The Choosing Wisely methodology and approach were the inspiration.

RESULTS

A total of 73/73 (100%) panelists responded to the survey. Twenty-four actions were proposed. The final list of inappropriate actions deemed most important to improve the management of patients with type 2 diabetes failing BOT were: (1) do not use secretagogues-do not neglect the use of innovative glucose-lowering agents; (2) do not underestimate the risk of lack of hypoglycemia awareness; (3) do not underestimate the benefit of personalization of therapy; (4) do not delay insulin intensification; (5) do not delay modification of the therapeutic regimen. In the area of patient communication, the following actions were identified: (1) do not fail to train in the management of hypoglycemia; (2) do not underestimate whether the patient has understood the modification of therapy; (3) do not prescribe injection therapy without adequately instructing the patient to titrate it; (4) do not ignore the patient's adherence; (5) do not stop listening to the patient and verify learning.

CONCLUSION

A set of corrective experience-based actions to enact in a timely manner, which can assist physicians in improving clinical outcomes and patients' needs in terms of communications and interaction, is proposed. The list is intended to promote discussions among diabetes specialists to provide high-value diabetes care.

The management of type 2 diabetes before, during and after Covid-19 infection: what is the evidence?

Patients with Covid-19 place new challenges on the management of type 2 diabetes, including the questions of whether glucose-lowering therapy should be adjusted during infection and how to manage a return to normal care after resolution of Covid-19 symptoms. Due to the sudden onset of the pandemic, physicians have by necessity made such important clinical decisions in the absence of robust evidence or consistent guidelines. The risk to patients is compounded by the prevalence of cardiovascular disease in this population, which alongside diabetes is a major risk factor for severe disease and mortality in Covid-19. We convened as experts from the Central and Eastern European region to consider what advice we can provide in the setting of type 2 diabetes and Covid-19, considering the evidence before, during and after infection. We review recommendations that have been published to date, and consider the best available—but currently limited—evidence from large observational studies and the DARE-19 randomized control trial. Notably, we find a lack of guidance on restarting patients on optimal antidiabetic therapy after recovering from Covid-19, and suggest that this may provide an opportunity to optimize treatment and counter clinical inertia that predates the pandemic. Furthermore, we emphasize that optimization applies not only to glycaemic control, but other factors such as cardiorenal protection. While we look forward to the emergence of new evidence that we hope will address these gaps, in the interim we provide a perspective, based on our collective clinical experience, on how best to manage glucose-lowering therapy as patients with Covid-19 recover from their disease and return to normal care.