Preventing Cardiovascular Complications in Type 1 Diabetes: The Need for a Lifetime Approach

Determinants of Liraglutide Treatment Discontinuation in Type 1 Diabetes: A Post Hoc Analysis of ADJUNCT ONE and ADJUNCT TWO Randomized Placebo-Controlled Clinical Studies

INTRODUCTION

Two phase 3 randomized controlled studies (ADJUNCT ONE (Clinicaltrials.gov: NCT01836523), ADJUNCT TWO (Clinicaltrials.gov: NCT02098395)) evaluated liraglutide (1.8, 1.2 or 0.6 mg) vs placebo in participants with type 1 diabetes (T1D) as an adjunct to insulin therapy. This paper aims to improve our understanding of the potential mechanisms leading to premature discontinuation of this treatment regimen.

METHODS

Post hoc comparisons were conducted on baseline characteristics and adverse event (AE) rates of participants completing and not completing the ADJUNCT studies due to AEs/lack of tolerance using summary tables and variance analysis.

RESULTS

Non-completers (liraglutide and placebo combined) had lower baseline body mass index (BMI) (ADJUNCT ONE: 27.8 kg/m2 vs 29.8 kg/m2, P < .0001; ADJUNCT TWO: 26.3 kg/m2 vs 29.2 kg/m2, P < .0001), longer duration of T1D (25.8 years vs 21.0 years, P < .0001; 24.1 years vs 21.0 years, P = .04), lower daily insulin doses by continuous infusion (46.4 U vs 57.3 U, P = .01; 40.9 U vs 57.4 U, P = .12) or multiple injections (58.4 U vs 68.5 U, P = .006; 56.0 U vs 65.8 U, P =.03) and a higher proportion of participants with undetectable C-peptide (91.5% vs 81.3%; 87.0% vs 84.9%) compared to completers. When analyzed by treatment group, only duration of T1D and C-peptide differed between completers and non-completers among liraglutide (and not placebo) participants. The AE rates were higher for non-completers.

CONCLUSION

Individuals with longer-standing T1D and low levels of C-peptide at baseline were more likely to discontinue adjunctive liraglutide treatment due to AEs/lack of tolerance than individuals with residual insulin production. Lower BMI predicted a greater likelihood of non-completion for the included participants, regardless of treatment. These new findings may be relevant for clinical practice.

Strategies for Cardiovascular Disease Prevention in Type 1 Diabetes: A Comprehensive Review

Cardiovascular disease (CVD) is a leading cause of morbidity and mortality among individuals with type 1 diabetes (T1D), necessitating effective prevention strategies. This comprehensive review consolidates current knowledge and evidence on preventing CVD in T1D patients. It begins by exploring the pathophysiological mechanisms that link T1D to an increased risk of CVD, highlighting factors such as chronic hyperglycemia, hypertension, dyslipidemia, and inflammation. The review also examines the epidemiology and specific risk factors for CVD in this population, emphasizing the need for rigorous risk assessment and screening. Lifestyle modifications, including dietary interventions, regular physical activity, and smoking cessation, are evaluated for their effectiveness in reducing CVD risk. Additionally, the review discusses pharmacological interventions, such as insulin therapy for glycemic control, antihypertensive medications, lipid-lowering agents, and antiplatelet therapy, underscoring their critical role in CVD prevention. Emerging therapies and future research directions are explored, focusing on novel pharmacological agents, advances in insulin delivery systems, and personalized medicine approaches. The importance of integrated care models involving multidisciplinary teams and the use of technology is highlighted as essential for comprehensive management. Challenges and barriers to implementing these strategies, including healthcare system limitations, patient adherence, and socioeconomic factors, are also addressed. This review provides a detailed synthesis of current strategies and future directions for preventing CVD in individuals with T1D, serving as a valuable resource for clinicians, researchers, and policymakers dedicated to improving cardiovascular outcomes in this high-risk population.

Navigating Cardiovascular Risk in Type 1 Diabetes: A Comprehensive Review of Strategies for Prevention and Management

Type 1 diabetes mellitus (T1DM) poses a significant cardiovascular risk, necessitating comprehensive prevention and management strategies. This review provides insights into the cardiovascular risk landscape in T1DM, emphasizing the importance of glycemic control, lipid management, blood pressure regulation, and lifestyle modifications. Pharmacological interventions, including insulin therapy and lipid-lowering medications, are discussed alongside lifestyle interventions such as diet, exercise, and smoking cessation. Early detection and management of cardiovascular complications are essential, highlighting the need for regular screening and multidisciplinary care. Patient-centered approaches, including shared decision-making and psychosocial support, are vital to effective care delivery. The review concludes with a call to action for healthcare providers and policymakers to prioritize cardiovascular risk management in T1DM. It explores future directions, including emerging therapies and technological innovations. By implementing evidence-based strategies and fostering collaboration across disciplines, we can mitigate cardiovascular risk and improve outcomes for individuals with T1DM.

The effect of physical activity on cytokine levels in adults living with type 1 diabetes-a preliminary study

The aim of this study is to investigate whether physical activity and the level of body fat are factors reducing the level of pro-inflammatory cytokines in people with T1DM. Twenty-five men (27.8 ± 9.4 years old; 178.9 ± 6.9 cm; 80.6 ± 12 kg) and 18 women (28.1 ± 12.5 years old; 162.4 ± 5.5; 63.1 ± 9.9 kg) were divided into four groups based on body fat percentage and level of physical activity (AN-active people with normal body fat; IAN-inactive people with normal body fat; AO-active people with excessive body fat, IAO-inactive people with excessive body fat). The level of cytokines in the blood serum was assessed. The level of IL-8 was higher (measurable) in inactive men, regardless of adiposity degree and in women, only in the inactive group with normal body fat. IL-6 was found only in active men with excessive adiposity. In conclusion, the findings from this study allow to indicate that moderate level of physical activity may contribute to a reduction in the development of systemic low-grade inflammation in patients with T1DM, and thus, may reduce the risk of CVD.

Type 1 Diabetes and Cardiovascular Health

Type 1 diabetes (T1D) is associated with an increased risk of cardiovascular disease (CVD). CVD occurs much earlier in people with T1D than in the general population, and several risk factors have been identified some of which are modifiable. Risk prediction models and imaging tests to detect early signs of CVD have not been extensively validated. Strategies to promote cardiovascular health (CVH) in T1D include identifying risk factors, early treatment to achieve CVH targets, and improving the education of health care providers and people with T1D.

Factors Associated With the Development of Dyslipidemia Among Pediatric Patients With Diabetes: A Single-centre-based Study

OBJECTIVES

The prevalence of pediatric diabetes is increasing. Dyslipidemia is an important modifiable cardiovascular disease risk factor often present in children with diabetes. In this study, we evaluated the adherence to Diabetes Canada 2018 lipid screening guidelines in a pediatric diabetes program to determine the prevalence of dyslipidemia in youth with diabetes and to identify risk factors related to dyslipidemia.

METHODS

This retrospective chart review included patients at McMaster Children's Hospital with diabetes (types 1 and 2), who were at least 12 years of age as of January 1, 2019. Extracted data included age, sex, family history of diabetes or dyslipidemia, date of diagnosis, body mass index, glycemia monitoring system used, lipid profile, glycated hemoglobin (A1C), and thyroid-stimulating hormone values at the time the lipid profile was measured. Statistical methods included descriptive statistics and logistic regression modelling.

RESULTS

Of the 305 patients included, 61% had a lipid profile measured according to guidelines, 29% had lipid screening completed outside of the recommended window, and 10% had no lipid profile on record. Among screened patients, 45% had dyslipidemia, most commonly hypertriglyceridemia (35%). Dyslipidemia was highest amongst those with type 2 diabetes, obesity, older age, short duration of diabetes, higher A1C, and those who used capillary blood glucose for monitoring (p<0.05).

CONCLUSIONS

A high proportion of patients were screened for dyslipidemia, but many outside the recommended window. Dyslipidemia is highly prevalent in this patient population and was associated with the presence of obesity, but 44% of patients without obesity also had dyslipidemia.

A High intensity Interval training (running and swimming) and resistance training intervention on heart rate variability and the selected biochemical factors in boys with type 1 diabetes

OBJECTIVE

The purpose of this research is to investigate the effect of High Intensity Interval Training and Resistance training (HIITR) on heart rate variability (HRV), blood glucose, and plasma biomarkers levels in adolescents with type 1 diabetes (T1D).

RESEARCH DESIGN AND METHODS

24 boys with T1D (FBS: 274.66 ± 52.99, age: 15.2 ± 1.78 years, and BMI = 19.61 ± 1.11) and 12 healthy boys (FBS: 92.75 ± 5.22, age: 15.08 ± 1.67 years, and BMI = 20.26 ± 2.66) were divided into three groups: Diabetes Training (DT, n = 12), Diabetes Control (DC, n = 12), and Healthy Control (HC, n = 12). HRV (24 h) was computed in time and frequency domains, anthropometric, biochemical parameters at rest, and aerobic capacity (VO2peak) obtained during a graded exercise testing (GXT). All variables were evaluated at the baseline and following 12 weeks of exercise training, done 3 days weekly. The statistical method used for data analysis was analysis of covariance (ANCOVA) test.

RESULTS

HRV, Hemoglobin A1c (HbA1c) and Fasting blood sugar (FBS), VO2peak, norepinephrine (NEP), and HDL-C indicated significant differences between both T1D groups compared to HC at baseline (p < 0.001). BMI, LDL-C, TC, and TG parameters were similar in all groups. HRV parameters, VO2peak and HDL-C, and NEP were significantly improved by exercise training, and HbA1c and FBS levels were significantly reduced (p < 0.001). There is a negative and significant correlation between LF/HF Ratio Difference (post-test minus pre-test) and VO2Peak Difference variables (post-test minus pre-test) (p < 0.001).

CONCLUSIONS

The present study suggests the importance of early screening for CVD risk factors in adolescent males with T1D. Also, it was revealed HIITR training compared to other training patterns, and cardiovascular health improves via enhancement of autonomic modulation, VO2peak, plasma lipids, and catecholamine levels.

Type 1 diabetes management: Room for improvement

AIMS/HYPOTHESIS

Optimal diabetes care and risk factor management are important to delay micro- and macrovascular complications in individuals with type 1 diabetes (T1D). Ongoing improvement of management strategies requires the evaluation of target achievement and identification of risk factors in individuals who do (or do not) achieve these targets.

METHODS

Cross-sectional data were collected from adults with T1D visiting six diabetes centers in the Netherlands in 2018. Targets were defined as glycated hemoglobin (HbA1c) <53 mmol/mol, low-density lipoprotein-cholesterol (LDL-c) <2.6 mmoL/L (no cardiovascular disease [CVD] present) or <1.8 mmoL/L (CVD present), or blood pressure (BP) <140/90 mm Hg. Target achievement was compared for individuals with and without CVD.

RESULTS

Data from 1737 individuals were included. Mean HbA1c was 63 mmol/mol (7.9%), LDL-c was 2.67 mmoL/L, and BP 131/76 mm Hg. In individuals with CVD, 24%, 33%, and 46% achieved HbA1c, LDL-c, and BP targets respectively. In individuals without CVD these percentages were 29%, 54%, and 77%, respectively. Individuals with CVD did not have any significant risk factors for HbA1c, LDL-c, and BP target achievement. In comparison, individuals without CVD were more likely to achieve glycemic targets if they were men and insulin pump users. Smoking, microvascular complications, and the prescription of lipid-lowering and antihypertensive medication were negatively associated with glycemic target achievement. No characteristics were associated with LDL-c target achievement. Microvascular complications and antihypertensive medication prescription were negatively associated with BP target attainment.

CONCLUSION

Opportunities for improvement of diabetes management exist for the achievement of glycemic, lipid, and BP targets but may differ between individuals with and without CVD.

Can type 1 diabetes be an unexpected complication of obesity?

Type 1 diabetes (T1D) is one of the most common chronic autoimmune diseases, characterized by absolute insulin deficiency caused via inflammatory destruction of the pancreatic β-cell. Genetic, epigenetic, and environmental factors play a role in the development of diseases. Almost ⅕ of cases involve people under the age of 20. In recent years, the incidence of both T1D and obesity has been increasing, especially among children, adolescents, and young people. In addition, according to the latest study, the prevalence of overweight or obesity in people with T1D has increased significantly. The risk factors of weight gain included using exogenous insulin, intensifying insulin therapy, fear of hypoglycemia and related decrease in physical activity, and psychological factors, such as emotional eating and binge eating. It has also been suggested that T1D may be a complication of obesity. The relationship between body size in childhood, increase in body mass index values in late adolescence and the development of T1D in young adulthood is considered. Moreover, the coexistence of T1D and T2D is increasingly observed, this situation is called double or hybrid diabetes. This is associated with an increased risk of the earlier development of dyslipidemia, cardiovascular diseases, cancer, and consequently a shortening of life. Thus, the purpose of this review was to summarize the relationships between overweight or obesity and T1D.

Cardiovascular risk management in people with type 1 diabetes: performance using three guidelines

INTRODUCTION

Cardiovascular disease (CVD) is the leading cause of mortality in individuals with type 1 diabetes mellitus (T1DM). Cardiovascular risk management is therefore essential in the management of individuals with T1DM. This study describes the performance of lipid and blood pressure management in individuals with T1DM using three guidelines.

RESEARCH DESIGN AND METHODS

Individuals ≥18 years with T1DM, treated with insulin for ≥1 year, visiting Diabeter or the University Medical Center Groningen between January 1, 2018 and December 31, 2018, were included. Lipid and blood pressure management were examined using the Dutch, American Diabetes Association (ADA) and National Institute for Health and Care Excellence (NICE) guidelines. Concordance of recommended and prescribed lipid-lowering (LLM) or antihypertensive medication (AHM) was assessed per guideline and 10-year age groups. Achievement of treatment targets was assessed for those prescribed medication.

RESULTS

A total of 1855 individuals with T1DM were included. LLM and AHM was prescribed in 19% and 17%, respectively. In individuals recommended LLM, this was prescribed in 22%-46% according to Dutch, ADA or NICE guideline recommendations. For individuals recommended AHM, this was prescribed in 52%-75%. Recommended and actual prescription of LLM and AHM increased over age for all three guidelines. However, discordance between treatment recommendation and medication prescribed was higher in younger, compared with older, age groups. Low-density lipoprotein-cholesterol targets were achieved by 50% (without CVD) and 31% (with CVD) of those prescribed LLM. The blood pressure target was achieved by 46% of those prescribed AHM.

CONCLUSION

This study suggests that there is undertreatment of lipid and blood pressure according to guideline recommendations, particularly in younger age groups. Treatment targets are not met by most individuals prescribed medication, while guidelines recommendations differ considerably. We recommend to investigate the factors influencing undertreatment of lipid and blood pressure management in individuals with T1DM.

Nine-fold higher risk of acute myocardial infarction in subjects with type 1 diabetes compared to controls in Norway 1973-2017

BACKGROUND

We aimed to study the cumulative incidence and risk factors (sex, age, calendar year of diabetes onset, country of origin and educational level) of acute myocardial infarction (AMI) in subjects with type 1 diabetes and matched controls.

METHODS

A nationwide cohort of subjects with type 1 diabetes diagnosed at age < 15 years in Norway during 1973-2000 was followed until the first AMI event, emigration, death or 31st of December 2017. The Norwegian Childhood Diabetes Registry was linked to five nationwide registries, and up to ten sex- and age-matched controls per case were included.

RESULTS

Among 7086 subjects with type 1 diabetes, 170 (2.4%) were identified with incident AMI, compared to 193 (0.3%) of 69,356 controls. Mean age and diabetes duration at first AMI was 40.8 years and 30.6 years, respectively. The probability of AMI after 40 years of follow-up was 8.0% in subjects with type 1 diabetes and 1.1% in controls, aHR 9.05 (95% CI 7.18-11.41). In type 1 diabetes, male sex (aHR 1.45), higher age at onset of diabetes and lower education (higher compared to lower, aHR 0.38) were significantly associated with higher risk of AMI. There was no significant time trend in AMI by calendar year of diabetes onset.

CONCLUSIONS

We found nine-fold excess risk of AMI in subjects with type 1 diabetes, and three-fold higher risk in subjects with low versus high education. These results highlight a strengthened focus on prevention of cardiovascular disease, and diabetes education tailored to the subjects' educational background.