Association of Insulin Dose, Cardiometabolic Risk Factors, and Cardiovascular Disease in Type 1 Diabetes During 30 Years of Follow-up in the DCCT/EDIC Study

Fasted C-Peptide Distribution and Associated Clinical Factors in Adults With Longstanding Type 1 Diabetes: Analysis of the Canadian Study of Longevity in Type 1 Diabetes

OBJECTIVE

Although insulin production is reportedly retained in many people with longstanding type 1 diabetes (T1D), the magnitude and relevance of connecting peptide (C-peptide) production are uncertain. In this study, we aimed to define fasted C-peptide distributions and associated clinical factors.

METHODS

In a cross-sectional analysis of the Canadian Study of Longevity, fasted serum and urinary C-peptide was measured in 74 patients with longstanding T1D (duration ≥50 years) and 75 age- and sex-matched controls. Extensive phenotyping for complications was performed and patient-reported variables were included. C-peptide distributions were analyzed, and multivariable logistic regression was used to assess the variable association in participants with T1D.

RESULTS

The 74 participants with T1D had a mean age of 66±8 years, a disease duration of 54 (interquartile range 52 to 58) years, and a glycated hemoglobin (A1C) of 7.4%±0.8% (56.8±9.15 mmol/mol). The 75 controls had a mean age of 65±8 years and an A1C of 5.7%±0.4% (38.4±4.05 mmol/mol). Participants with T1D had lower fasted serum C-peptide than controls (0.013±0.022 vs 1.595±1.099 nmol/L, p<0.001). Of the participants with T1D, C-peptide was detectable in 30 of 73 (41%) serum samples, 32 of 74 (43%) urine samples, and 48 of 74 (65%) for either serum or urine. The variables independently associated with detectable serum or urinary C-peptide were lower total daily insulin requirement (odds ratio 2.351 [for 1 lower unit/kg], p=0.013) and lower hypoglycemia worry score (odds ratio 1.059 [for 1 point lower on the worry subscore of the Hypoglycemia Fear Survey], p=0.030).

CONCLUSIONS

Although detectable C-peptide in longstanding diabetes was common, the magnitude of concentration was extremely low when compared with age- and sex-matched controls. Despite minimal detectability, its presence is validated by lower insulin requirements and strongly associated with lower hypoglycemia worry.

Day-to-day fasting plasma glucose variability on the short-term prognosis of ST-segment elevation myocardial infarction: A retrospective cohort study

BACKGROUND AND HYPOTHESIS

Glycemic variability in one fact that explain the differences in cardiovascular outcomes. The short-term fasting plasma glucose (FPG) variability may have an on major adverse cardiovascular events (MACE) in type 2 diabetes mellitus (T2DM) patients with ST-segment elevation myocardial infarction (STEMI).

METHODS

This study retrospectively analyzed T2DM patients who underwent emergent percutaneous coronary intervention (PCI) due to STEMI in Fuwai Hospital, Chinese Academy of Medical Sciences, Shenzhen, between January 2016 and March 2020. All patients underwent at least 5 FPG measurements during the perioperative period. FPG variability score (FPG-VS) was defined as the percentage of the number of FPG variations > 1 mmol/L between two adjacent FPG measurements. The Cox proportional-hazards model was used to estimate the relationship between FPG-VS and MACE. A validation set was utilized to further evaluate the prognostic value of FPG-VS in a standardized STEMI diabetic diet cohort following PCI intervention.

RESULTS

A total of 612 patients were included in the retrospective cohort study. In comparison to the minimum quintile, FPG-VS > 60% was associated with an increased risk of 30-day MACE. Moreover, compared to FPG-VS ≤ 20%, the FPG-VS > 80% group had a higher risk of MACE (odd ratio [OR] = 4.87, 95% confidence interval [CI]: 2.55-5.28), recurrent angina pectoris (OR = 5.43, 95% CI: 2.27-8.27), nonfatal myocardial infarction (OR = 5.00, 95% CI: 2.47-7.69), heart failure (OR = 3.70, 95% CI: 1.92-5.54), malignant arrhythmia (OR = 4.63, 95% CI: 1.12-6.25) and cardiac death (OR = 1.41, 95% CI: 0.17-1.97). Consistent results were obtained after adjustment for HbA1c, demonstrating the robustness of FPGFPG-VS. Moreover, the standard diet intervention group had a lower FPG-VS index as well as a lower incidence of MACE.

CONCLUSION

Higher FPG variability is associated with an increased risk of MACE within 30 days in diabetes patients receiving PCI for STEMI. A standardized diet may improve the prognosis of STEMI patients by reducing the FPG-VS.

An effective and cost-saving structured education program teaching dynamic glucose management strategies to a socio-economically deprived cohort with type 1 diabetes in a VIRTUAL setting

OBJECTIVES

Compare the clinical and cost-effectiveness of an established face to face (F2F) structured education program to a new remote (VIRTUAL) program teaching dynamic glucose management (DynamicGM) to children and young people with type 1 diabetes (CYPD) using continuous glucose monitoring (CGM). To ascertain the most effective DynamicGM strategies predicting time in range (TIR) (3.9-10.0 mmol/L) and incorporating these into a user-friendly teaching aid.

DESIGN AND METHODS

Effectiveness of the F2F and VIRTUAL programs were ascertained by comparing the mean change (Δ) from baseline to 6 months in HbA1c, TIR and severe hypoglycemia. Delivery cost for the two programs were evaluated. Factors predicting TIR in the combined cohort were determined and incorporated into a user-friendly infographic.

RESULTS

First 50 graduates per group were evaluated. The mean difference in Δ HbA1c, Δ TIR and Δ episodes of severe hypoglycemia between VIRTUAL and F2F groups were 1.16 (p = 0.47), 0.76 (p = 0.78) and -0.06 (p = 0.61) respectively. Delivery cost per 50 CYPD for VIRTUAL and F2F were $5752 and $7020, respectively. The strongest predictors of TIR (n = 100) were short bursts of exercise (10-40 min) to lower hyperglycemia (p < 0.001), using trend arrow adjustment tools (p < 0.001) and adjusting pre-meal bolus timing based on trend arrows (p < 0.01). These strategies were translated into a GAME (Stop highs), SET (Stay in target), MATCH (Prevent lows) mnemonic.

CONCLUSION

Teaching DynamicGM VIRTUALLY is just as effective as F2F delivery and cost saving. Short bursts of exercise and using CGM trend arrows to adjust insulin dose and timing improves TIR.

Prospective Open-Label, Single-Arm, Single-Center Follow-Up Study of the Application of the Advanced Hybrid Closed Loop System in Well-Controlled Children and Adolescents with Type 1 Diabetes

Background: The aim of this prospective open-label single-arm single-center follow-up study was to analyze glycemic control in children and adolescents with type 1 diabetes treated with the advanced hybrid closed loop (AHCL) system in relation to a sensor-augmented pump with low-glucose suspend (SAP-LGS) or predictive low-glucose suspend (SAP-PLGS). Materials and Methods: The data for 50 children and adolescents (age 5.5-19.6 years) with type 1 diabetes, receiving insulin through an AHCL system after being switched from SAP-LGS/PLGS systems, were included in the analysis. The SAP-LGS/PLGS records from 2 weeks preceding the AHCL connection were compared with the records from the first 4 weeks of AHCL use, represented as two separate 2-week intervals. Results: Significant improvements in most of the parameters, namely time spent in the range of 70-140 mg/dL (from 53.80% ± 12.35% to 61.70% ± 8.42%, P < 0.001) and 70-180 mg/dL (from 76.17% ± 10.28% to 81.32% ± 7.71%, P < 0.001), average sensor glucose (from 138.61 ± 16.66 to 130.02 ± 10.91 mg/dL, P < 0.001), and glucose management indicator (from 6.54% ± 0.45% to 6.27% ± 0.29%, P = 0.001), were observed within 2 weeks of switching to the AHCL. More evident improvements were observed for the parameters monitored at night than during the day. The potential limitations of this study were the short observation time, lack of glycated hemoglobin measurements, and no control arm. Conclusion: The AHCL system can significantly improve glycemic control even in well-controlled children and adolescents with type 1 diabetes by increasing the proportion of time spent in the narrower range of 70-140 mg/dL and decreasing the mean glucose concentration, especially during the night.

Formation of Self-Assembled Liquid Crystalline Nanoparticles and Absorption Enhancement of Ω-3s by Phospholipids and Oleic Acids

This study aimed to optimize and evaluate self-assembled liquid crystalline nanoparticles (SALCs) prepared from phospholipids and oleic acid for enhancing the absorption of Ω-3s. We explored the structure and optimal formulation of SALCs, which are composed of Ω-3 ethyl ester (Ω-3 EE), phospholipids, and oleic acid, using a ternary diagram and evaluated the improvement in Ω-3 dissolution, permeation, and oral bioavailability. The in vitro dissolution and pharmacokinetics of Ω-3 SALCs were compared with those of Omacor soft capsules (as the reference). The shape of the liquid crystal was determined according to the composition of phospholipids, oleic acids, and Ω-3s and was found to be in cubic, lamellar, and hexagonal forms. The dissolution rates of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) obtained from Ω-3 SALCs were 1.7 to 2.3-fold higher than those of the Omacor soft capsules. Furthermore, a pharmacokinetic study in male beagle dogs revealed that Ω-3 SALCs increased the oral bioavailability of Ω-3 EE by 2.5-fold for EPA and 3.1-fold for DHA compared with the reference. We found an optimal formulation that spontaneously forms liquid crystal-based nanoparticles, improving the bioavailability of EPA and DHA, not found in the existing literature. Our findings offer insight into the impact of nanoparticle phase on the oral delivery of oil-soluble drugs and provide a novel Ω-3 EE formulation that improves the bioavailability of EPA and DHA.

The Association between Treatment Modality, Lipid Profile, Metabolic Control in Children with Type 1 Diabetes and Celiac Disease-Data from the International Sweet Registry

Background and Aims: A higher frequency of dyslipidemia is reported in children with type 1 diabetes (T1D) and celiac disease (CD). Recently, continuous subcutaneous insulin infusion (CSII) has been associated with better lipid profiles in patients with T1D. The aim of this study was to investigate the association between treatment modality and lipid profile, metabolic control, and body mass index (BMI)-SDS in children with both T1D and CD. Methods: Cross-sectional study in children registered in the international SWEET database in November 2020. Inclusion criteria were children (2–18 years) with T1D and CD with available data on treatment modality (CSII and injections therapy, IT), triglyceride, total cholesterol, HDL, LDL, dyslipidemia, HbA1c, and BMI-SDS. Overweight/obesity was defined as > +1 BMI-SDS for age. Data were analyzed by linear and logistical regression models with adjustment for age, gender, and diabetes duration. Results: In total 1009 children with T1D and CD (female 54%, CSII 54%, age 13.9 years ±3.6, diabetes duration 7.2 years ±4.1, HbA1c 7.9% ±1.4) were included. Significant differences between children treated with CSII vs. IT were respectively found; HDL 60.0 mg/dL vs. 57.8 mg/dL, LDL 89.4 mg/dL vs. 94.2 mg/dL, HbA1c 7.7 vs. 8.1%, BMI-SDS 0.4 vs. 0.6, overweight and obesity 17% vs. 26% (all p < 0.05). Conclusions: CSII is associated with higher HDL and lower LDL, HbA1c, BMI-SDS, and percentage of overweight and obesity compared with IT in this study. Further prospective studies are required to determine whether CSII improves lipid profile, metabolic control and normalize body weight in children with both T1D and CD.

Effects of empagliflozin on insulin initiation or intensification in patients with type 2 diabetes and cardiovascular disease: Findings from the EMPA-REG OUTCOME trial

AIM

To evaluate the effects of empagliflozin versus placebo on subsequent insulin initiation or dosing changes in a large cardiovascular outcomes trial.

MATERIALS AND METHODS

In EMPA-REG OUTCOME, 7020 patients with type 2 diabetes and cardiovascular disease received empagliflozin 10 mg, 25 mg, or placebo. Median follow-up was 3.1 years. After 12 weeks of treatment, changes in background antihyperglycaemic therapy were permitted. Among insulin-naïve patients, we assessed the effects of pooled empagliflozin arms versus placebo on time to initiation of insulin. Among insulin-treated patients, we assessed effects on time to an increase or decrease in insulin dose of more than 20%.

RESULTS

In 3633 (52%) participants not treated with insulin at baseline, empagliflozin reduced new use of insulin versus placebo by 60% (7.1% vs. 16.4%; adjusted HR 0.40 [95% CI 0.32-0.49]; P < .0001). In 3387 (48%) patients using insulin at baseline, empagliflozin reduced the need for a greater than 20% insulin dose increase by 58% (14.4% vs. 29.3%; adjusted HR 0.42 [95% CI 0.36-0.49]; P < .0001) and increased the proportion achieving sustained greater than 20% insulin dose reductions without subsequent increases in HbA1c compared with placebo (9.2% vs. 4.9%; adjusted HR 1.87 [95% CI: 1.39-2.51]; P < .0001). Sensitivity analyses confirmed consistent findings when insulin dose changes of more than 10% or more than 30% were considered.

CONCLUSIONS

In patients with type 2 diabetes and cardiovascular disease, empagliflozin markedly and durably delays insulin initiation and substantial increases in insulin dose, while facilitating sustained reductions in insulin requirements over time.

Cardiovascular disease in patients with type 1 diabetes: Early evaluation, risk factors and possible relation with cardiac autoimmunity

Cardiovascular disease now is the leading cause of mortality among patients with type 1 diabetes (T1D). The risk of death from cardiovascular events in subjects with T1D is 2-10 times higher than the general population, depending on blood glucose control. Although complications of cardiovascular disease occur in middle and old age, pathological processes begin in childhood. Some methods used to evaluate subclinical cardiovascular disease, such as carotid intima-media thickness and pulse wave velocity, can detect early cardiovascular abnormalities in adolescence. The effect of risk factors including hypertension, dyslipidemia and diabetic nephropathy on cardiovascular disease has been well studied. According to the current clinical practice recommendations from the American Diabetes Association, cardiovascular risk factors should be systematically assessed at least annually and treated as recommended. And yet, the effects of intensive insulin therapy on cardiovascular risk, as well as the mechanisms of cardiac autoimmunity require further studying. This review concentrates on the cardiovascular risk in type 1 diabetes in order to provide a comprehensive outlook of its epidemiology, early assessment, risk factors and possible relations with cardiac autoimmunity, aiming to propose promising therapeutic strategies.

Impact of Anti-Diabetic Medications on Quality of Life in Persons with Type 2 Diabetes Mellitus

INTRODUCTION

Type 2 diabetes mellitus (T2DM) has been found to be associated with poor quality of life (QOL). The aim of this study was to measure QOL in T2DM patients and examine if the patients' socio demographic, diabetes-related clinical characteristics and insulin usage are associated with better quality of life.

MATERIALS AND METHODS

This clinic based cross-sectional study analyzed data from outpatients with T2DM attending a referral clinic between January and June 2016. Association between Diabetes Attitudes, Wishes and Needs (DAWN) QOL and few demographic, socioeconomic, clinical and biochemical predictors were examined using multivariate logistic regression model. A total of 518 patients completed the interview.

RESULTS

The HbA1c level of insulin ± oral anti-diabetic (OAD) cohort was significantly lower (7.89 ± 1.98) than the OAD cohort (8.79 ± 1.96), P < 0.001. Compared to their counterparts in the OAD cohort, patients on insulin were older with longer duration of diabetes mellitus. Co-morbid confounders like obesity, hypoglycemia, and blood pressure control or socio demographic confounders like income, education were almost similar in both the cohorts. The incidence of hypertension, coronary artery disease (CAD) and statin usage was significantly higher in the insulin cohort. The overall composite DAWN QOL scores of the insulin ± OAD cohort (25.42 ± 4.35) was marginally higher than that of the OAD cohort (23.62 ± 5.06) (P = 0.067). Analog insulin users were also found to have significantly higher composite DAWN QOL scores compared to human insulin users (25.77 ± 5.73 vs.24.13 ± 4.88, P = 0.037).

CONCLUSIONS

The insulin cohort, despite being older and having longer duration of diabetes, had significantly higher diet compliance score, and enhanced QOL owing to better diabetes-related knowledge and treatment adherence characteristics than non-insulin users. Questionnaires-based evaluation of QOL can provide better understanding of the patient's experience of the illness, self-care, psychological and emotional functioning, and choice of therapeutic modality enhancing the quality of care.

Cardiovascular Risk Management in Type 1 Diabetes

PURPOSE OF REVIEW

Type 1 diabetes mellitus (T1DM) is associated with increased mortality, with premature cardiovascular disease (CVD) a major factor. To date, research has identified multiple risk factors for this excess CVD liability. However, gaps remain in our understanding of the underlying mechanisms.

RECENT FINDINGS

T1DM is generally diagnosed at a young age. Since cardiovascular complications often only manifest at a later stage of life, there is generally less focus in earlier years on reducing CVD risk for affected individuals. This is an area that requires improvement as risk factors might be managed from earlier age to reduce later development of CVD. In this review, we discuss the evidence for cardiovascular risk factors, risk prediction models, candidate surrogate measurements and CVD risk management.

Cardiovascular disease in diabetes, beyond glucose

Despite the decades-old knowledge that diabetes mellitus is a major risk factor for cardiovascular disease, the reasons for this association are only partially understood. While this association is true for both type 1 and type 2 diabetes, different pathophysiological processes may be responsible. Lipids and other risk factors are indeed important, whereas the role of glucose is less clear. This lack of clarity stems from clinical trials that do not unambiguously show that intensive glycemic control reduces cardiovascular events. Animal models have provided mechanisms that link diabetes to increased atherosclerosis, and evidence consistent with the importance of factors beyond hyperglycemia has emerged. We review clinical, pathological, and animal studies exploring the pathogenesis of atherosclerosis in humans living with diabetes and in mouse models of diabetes. An increased effort to identify risk factors beyond glucose is now needed to prevent the increased cardiovascular disease risk associated with diabetes.

Impact of Insulin Treatment on the Effect of Eplerenone: Insights From the EMPHASIS-HF Trial

BACKGROUND

Patients with heart failure with reduced ejection fraction (HFrEF) and insulin-treated diabetes have a high risk of cardiovascular complications. Mineralocorticoid receptor antagonists may mitigate this risk. We aim to explore the effect of eplerenone on cardiovascular outcomes and all-cause mortality in HFrEF patients with diabetes, including those treated with insulin in the EMPHASIS-HF trial (Eplerenone in Patients with Systolic Heart Failure and Mild Symptoms).

METHODS

The primary outcome was the composite of heart failure hospitalization or cardiovascular death. Cox models with treatment-by-diabetes subgroup interaction terms were used.

RESULTS

The median follow-up was 21 (10-33) months. Of the 2737 patients included, 623 (23%) had non-insulin-treated diabetes, 236 (9%) had insulin-treated diabetes and 1878 did not have diabetes. Patients with insulin-treated diabetes were younger, more often women, with higher body mass index, waist circumference, more frequent ischemic heart failure cause, impaired kidney function, and longer diabetes duration. Compared with patients without diabetes, those with insulin-treated diabetes had a 2-fold higher risk of having a primary outcome event. The hazard ratio (95% CI) for the effect of eplerenone, compared with placebo, on the primary outcome was 0.31 (0.19-0.50) in insulin-treated diabetes, 0.69 (0.50-0.93) in non-insulin-treated diabetes, and 0.72 (0.58-0.88) in patients without diabetes; interaction P=0.007. The annualized number needed-to-treat-to-benefit with regards to the primary outcome was 3 (95% CI, 3-4) in patients with insulin-treated diabetes, 16 (13-19) in patients with diabetes not receiving insulin, and 26 (24-28) in patients without diabetes.

CONCLUSIONS

Patients with insulin-treated diabetes experienced a greater benefit from eplerenone than those with diabetes not treated with insulin and people without diabetes. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT00232180.

Discoveries from the study of longstanding type 1 diabetes

Award programmes that acknowledge the remarkable accomplishments of long-term survivors with type 1 diabetes have naturally evolved into research programmes to determine the factors associated with survivorship and resistance to chronic complications. In this review, we present an overview of the methodological sources of selection bias inherent in survivorship research (selection of those with early-onset diabetes, incidence-prevalence bias and bias from losses to follow-up in cohort studies) and the breadth and depth of literature focusing on this special study population. We focus on the learnings from the study of longstanding type 1 diabetes on discoveries about the natural history of insulin production loss and microvascular complications, and mechanisms associated with them that may in future offer therapeutic targets. We detail descriptive findings about the prevalence of preserved insulin production and resistance to complications, and the putative mechanisms associated with such resistance. To date, findings imply that the following mechanisms exist: strategies to maintain or recover beta cells and their function; activation of specific glycolytic enzymes such as pyruvate kinase M2; modification of AGE production and processing; novel mechanisms for modification of renin-angiotensin-aldosterone system activation, in particular those that may normalise afferent rather than efferent renal arteriolar resistance; and activation and modification of processes such as retinol binding and DNA damage checkpoint proteins. Among the many clinical and public health insights, research into this special study population has identified putative mechanisms that may in future serve as therapeutic targets, knowledge that likely could not have been gained without studying long-term survivors.

Assessment the effects of insulin on adiponectin, nitric oxide, myeloperoxidase and lipid profile in type 1 diabetic patients

Type 1 diabetes (T1DM) is well recognized risk factor cardiovascular disease (CVD). Insulin therapy is recommended for all patients with type 1 diabetes. Previous findings showed that diabetes impairs endothelial function and increased glucose level reduces nitric oxide (NO) output and increases myeloperoxidase (MPO) activity. However, adiponectin (APN) decreases serum glucose levels. The current study evaluated effects of insulin therapy on circulating levels of oxidative stress and CVD biomarkers like NO, APN, MPO, AIP and lipid profile in type 1 diabetic patients. Fifty patients with T1DM and 18 healthy people were enrolled in this study. The recruited people with T1DM were classified into two groups: 22 newly diagnosed (untreated) type 1 diabetic patients and 28 insulin treated patients. In all groups, circulating NO, APN, MPO, AIP and lipids levels were measured. Compared to control, untreated diabetes revealed a significant increase in the serum levels of APN, MPO, TG, VLDL, TC, LDL and AIP, with a marked reduction in NO and HDL levels. However, insulin therapy significantly lowered MPO, TC and LDL, with no significant changes in the other biochemical parameters. As expected, oxidative stress and CVD-associated markers were significantly increased in untreated diabetes. Insulin therapy exhibited a relatively positive effect on oxidative stress and CVD biomarkers. Accordingly, insulin plus antioxidant supplementation required to normalize these parameters.

All-cause mortality and cardiovascular safety of basal insulin treatment in patients with type 2 diabetes mellitus: A systematic review with meta-analysis and trial sequential analysis

AIM

To evaluate the risk of all-cause and cardiovascular mortality, acute myocardial infarction, and stroke associated with insulin treatment in patients with type 2 diabetes.

METHODS

A systematic review with meta-analysis of randomized clinical trials (RCTs) was performed. EMBASE, Cochrane, and PubMed databases were searched for RCTs reporting mortality or cardiovascular events and comparing basal insulin to any treatment in patients with type 2 diabetes. Data were summarized with Mantel-Haenzel relative risk (RR). Trial sequential analysis (TSA) was used to evaluate the reliability of the results considering a 20% relative risk difference between treatments. PROSPERO Registry: CRD42018087336.

RESULTS

In total, 2351 references were identified, and 26 studies (24348 patients) were included. Most studies evaluated glargine insulin (69%), compared insulin to GLP-1 analogs (57%), and evaluated add-on therapy with metformin (77%). Insulin was not associated with increased all-cause mortality (RR 0.99; 95% confidence interval (CI) 0.92-1.06), cardiovascular mortality (RR 1.01; 95% CI 0.91-1.13), myocardial infarction (RR 1.02; 95% CI 0.92-1.15), or stroke (RR 0.87; 95% CI 0.68-1.12). Insulin treatment increased severe hypoglycemia risk (RR 2.98; 95% CI 2.47-3.61). All analyses had low statistical heterogeneity. TSA confirmed these findings: optimal sample size (myocardial infarction), futility boundary (all-cause mortality, cardiovascular mortality, and stroke) and harm boundary (hypoglycemia) were reached.

CONCLUSION

Treatment with basal insulin of patients with type 2 diabetes does not increase the risk of cardiovascular events or death. Despite the increased risk of hypoglycemia, these findings reinforce that insulin is a safe option in the treatment of type 2 diabetes.

The bigger, the better? When multicenter clinical trials and meta-analyses do not work

Courtesy of the development of the Internet, bursts of information technology, and globalization, huge multicenter studies along with meta-analyses have been introduced to the medical sciences society. Meta-analyses and multicenter studies revolutionized modern medicine and drug development, and empowered evidence based medicine by providing extremely high levels of evidence. Nevertheless, there are occasions that while results of local multi/single center studies showed efficacy of a new treatment, larger multicenter studies or meta-analyses failed to show efficacy, and vice versa. Generally, bigger studies are more powerful and we rely on their results in clinical decision making. Nevertheless, we should keep in mind that in certain circumstances, single center studies are of great importance, and are preferred to multicenter studies and meta-analyses. In order to have a better understanding of why and when multicenter studies along with meta-analyses might not be the best options, we have discussed three different scenarios.

Echocardiographic parameters according to insulin dose in young patients affected by type 1 diabetes

Insulin dose has been found to associate to several cardiometabolic risk factors in type 1 diabetes. Changes over time in body weight and composition may partly explain this association. However, no data are available on the relationship between insulin dose and echocardiographic parameters of both systolic and diastolic function in type 1 diabetes. Therefore, the aim of the present study was to examine systolic and diastolic echocardiographic parameters in relation to insulin dose in young patients with type 1 diabetes. The study was carried out on 93 consecutive outpatients with type 1 diabetes with a mean age of 32.8 ± 9.8 years. All patients were examined with a transthoracic echocardiography. Clinical and laboratory data were collected. The median value of daily insulin dose was used to categorized patients in two groups: high and low insulin dose group. Patients belonging to the high insulin dose group showed higher levels of cardiometabolic risk factors such as BMI, triglycerides and TG/HDL cholesterol ratio. Indexes of both systolic and diastolic function were similar in both groups except isovolumetric relaxation time (IVRT), that was significantly prolonged in patients of the high insulin group (94.4 ± 15.0 vs 86.7 ± 13.1 ms, p = 0.008). In the multivariate regression analysis, insulin dose was positively and significantly associated with IVRT. In this study we report an association between insulin dose and impaired active diastolic myocardial relaxation. Future studies are needed to further explore this observation.

Prevalence of comorbidities in patients with type-2 diabetes mellitus

AIMS

The prevalence of diabetes mellitus is gradually increasing in Turkey and it is becoming a serious public health problem. Other diseases which accompany diabetes becloud its treatment and bring additional problems. Until now, there have been no studies investigating the prevalence of co-morbidities in Turkish diabetic patients. With this study, we aimed to resolve the deficiency on this subject.

METHODS

This cross-sectional descriptive epidemiological study was conducted between 2018 and 2019. Patients who had been regularly admitted to our diabetes center in the past 3 years were included in this study. Co-morbidities including hypertension, hyperlipidemia, obesity, coronary heart disease, cerebrovascular disease, diabetic retinopathy, and diabetic nephropathy were investigated. Factors relating to these co-morbidities were assessed.

RESULTS

After exclusion from analysis, 1024 patients were included in the study. The female/male ratio was found to be 1.7. The mean age of these patients was 69.3 ± 9.8. The mean diabetes duration was 22.2 ± 7.0. The most common co-morbidities were hypertension and hyperlipidemia by the rate of 84.9% and 65.6%. Obesity prevalence was 54.4%, nephropathy was 36.6%, coronary heart disease 22.8%, retinopathy 18.5% and stroke prevalence was found to be 4.8%. Age, diabetes duration and insulin usage were found to be significantly related to all co-morbidities.

CONCLUSIONS

This study is significant in that it is the widest Turkish diabetic co-morbidity analysis study to date. When compared to other worldwide studies, co-morbidities were seen to be a little bit higher in Turkish diabetic patients. Clinicians need to not only focus on anti-diabetic treatment but also on other co-morbidities in terms of decreasing mortality and morbidity.

Mechanisms of diabetic cardiomyopathy and potential therapeutic strategies: preclinical and clinical evidence

The pathogenesis and clinical features of diabetic cardiomyopathy have been well-studied in the past decade, but effective approaches to prevent and treat this disease are limited. Diabetic cardiomyopathy occurs as a result of the dysregulated glucose and lipid metabolism associated with diabetes mellitus, which leads to increased oxidative stress and the activation of multiple inflammatory pathways that mediate cellular and extracellular injury, pathological cardiac remodelling, and diastolic and systolic dysfunction. Preclinical studies in animal models of diabetes have identified multiple intracellular pathways involved in the pathogenesis of diabetic cardiomyopathy and potential cardioprotective strategies to prevent and treat the disease, including antifibrotic agents, anti-inflammatory agents and antioxidants. Some of these interventions have been tested in clinical trials and have shown favourable initial results. In this Review, we discuss the mechanisms underlying the development of diabetic cardiomyopathy and heart failure in type 1 and type 2 diabetes mellitus, and we summarize the evidence from preclinical and clinical studies that might provide guidance for the development of targeted strategies. We also highlight some of the novel pharmacological therapeutic strategies for the treatment and prevention of diabetic cardiomyopathy.

Application of Artificial Intelligence in Diabetes Education and Management: Present Status and Promising Prospect

Despite the rapid development of science and technology in healthcare, diabetes remains an incurable lifelong illness. Diabetes education aiming to improve the self-management skills is an essential way to help patients enhance their metabolic control and quality of life. Artificial intelligence (AI) technologies have made significant progress in transforming available genetic data and clinical information into valuable knowledge. The application of AI tech in disease education would be extremely beneficial considering their advantages in promoting individualization and full-course education intervention according to the unique pictures of different individuals. This paper reviews and discusses the most recent applications of AI techniques to various aspects of diabetes education. With the information and evidence collected, this review attempts to provide insight and guidance for the development of prospective, data-driven decision support platforms for diabetes management, with a focus on individualized patient management and lifelong educational interventions.

Risk Factors for Cardiovascular Disease (CVD) in Adults with Type 1 Diabetes: Findings from Prospective Real-life T1D Exchange Registry

CONTEXT

Cardiovascular disease (CVD) is a major cause of mortality in adults with type 1 diabetes.

OBJECTIVE

We prospectively evaluated CVD risk factors in a large, contemporary cohort of adults with type 1 diabetes living in the United States.

DESIGN

Observational study of CVD and CVD risk factors over a median of 5.3 years.

SETTING

The T1D Exchange clinic network.

PATIENTS

Adults (age ≥ 18 years) with type 1 diabetes and without known CVD diagnosed before or at enrollment.

MAIN OUTCOME MEASURE

Associations between CVD risk factors and incident CVD were assessed by multivariable logistic regression.

RESULTS

The study included 8,727 participants (53% female, 88% non-Hispanic white, median age 33 years [interquartile ratio {IQR} = 21, 48], type 1 diabetes duration 16 years [IQR = 9, 26]). At enrollment, median HbA1c was 7.6% (66 mmol/mol) (IQR = 6.9 [52], 8.6 [70]), 33% used a statin, and 37% used blood pressure medication. Over a mean follow-up of 4.6 years, 325 (3.7%) participants developed incident CVD. Ischemic heart disease was the most common CVD event. Increasing age, body mass index, HbA1c, presence of hypertension and dyslipidemia, increasing duration of diabetes, and diabetic nephropathy were associated with increased risk for CVD. There were no significant gender differences in CVD risk.

CONCLUSION

HbA1c, hypertension, dyslipidemia and diabetic nephropathy are important risk factors for CVD in adults with type 1 diabetes. A longer follow-up is likely required to assess the impact of other traditional CVD risk factors on incident CVD in the current era.

Type 2 diabetes mellitus and cardiovascular disease: focus on the effect of antihyperglycemic treatments on cardiovascular outcomes

Introduction: Type 2 diabetes mellitus and cardiovascular disease contribute to significant morbidity, mortality, and health-care resource expenditure. The pathophysiological and clinical associations between diabetes and cardiovascular disease have been the subject of multiple studies, most recently culminating in large trials of several new antiglycemic agents being found to confer additional cardiovascular risk reduction. Understanding the potential cardiovascular benefits of antiglycemic medications offers the unique opportunity to reduce the morbidity and mortality presented by both diseases at once.Areas covered: The literature search was comprised of a Pubmed search querying 'cardiovascular outcomes' and 'diabetes'. This article reviews the pathophysiology of cardiovascular complications in type 2 diabetes and the cardiovascular outcome trials related to newer antiglycemic medications.Expert opinion: The treatment of patients with type 2 diabetes mellitus and cardiovascular disease is rapidly advancing. In particular, the sodium-glucose cotransporter-2 (SGLT2) inhibitors and glucagon-like peptide-1 (GLP-1) receptor agonists have demonstrated cardiovascular benefit by reducing major adverse cardiovascular events and cardiovascular mortality. Future directions of the treatment of type 2 diabetes and cardiovascular disease will focus on targeting and preventing diabetic cardiomyopathy and further defining the role of SGLT2 inhibitors and of GLP-1 receptor agonists in additional patient populations.

DNA methylation age calculators reveal association with diabetic neuropathy in type 1 diabetes

Background

Many CpGs become hyper or hypo-methylated with age. Multiple methods have been developed by Horvath et al. to estimate DNA methylation (DNAm) age including Pan-tissue, Skin & Blood, PhenoAge, and GrimAge. Pan-tissue and Skin & Blood try to estimate chronological age in the normal population whereas PhenoAge and GrimAge use surrogate markers associated with mortality to estimate biological age and its departure from chronological age. Here, we applied Horvath’s four methods to calculate and compare DNAm age in 499 subjects with type 1 diabetes (T1D) from the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) study using DNAm data measured by Illumina EPIC array in the whole blood. Association of the four DNAm ages with development of diabetic complications including cardiovascular diseases (CVD), nephropathy, retinopathy, and neuropathy, and their risk factors were investigated.

Results

Pan-tissue and GrimAge were higher whereas Skin & Blood and PhenoAge were lower than chronological age (p < 0.0001). DNAm age was not associated with the risk of CVD or retinopathy over 18–20 years after DNAm measurement. However, higher PhenoAge (β = 0.023, p = 0.007) and GrimAge (β = 0.029, p = 0.002) were associated with higher albumin excretion rate (AER), an indicator of diabetic renal disease, measured over time. GrimAge was also associated with development of both diabetic peripheral neuropathy (OR = 1.07, p = 9.24E−3) and cardiovascular autonomic neuropathy (OR = 1.06, p = 0.011). Both HbA1c (β = 0.38, p = 0.026) and T1D duration (β = 0.01, p = 0.043) were associated with higher PhenoAge. Employment (β = − 1.99, p = 0.045) and leisure time (β = − 0.81, p = 0.022) physical activity were associated with lower Pan-tissue and Skin & Blood, respectively. BMI (β = 0.09, p = 0.048) and current smoking (β = 7.13, p = 9.03E−50) were positively associated with Skin & Blood and GrimAge, respectively. Blood pressure, lipid levels, pulse rate, and alcohol consumption were not associated with DNAm age regardless of the method used.

Conclusions

Various methods of measuring DNAm age are sub-optimal in detecting people at higher risk of developing diabetic complications although some work better than the others.

Longitudinal Phenotypes of Type 1 Diabetes in Youth Based on Weight and Glycemia and Their Association With Complications

CONTEXT

Subclinical and clinical complications emerge early in type 1 diabetes (T1D) and may be associated with obesity and hyperglycemia.

OBJECTIVE

Test how longitudinal "weight-glycemia" phenotypes increase susceptibility to different patterns of early/subclinical complications among youth with T1D.

DESIGN

SEARCH for Diabetes in Youth observational study.

SETTING

Population-based cohort.

PARTICIPANTS

Youth with T1D (n = 570) diagnosed 2002 to 2006 or 2008.

MAIN OUTCOME MEASURES

Participants were clustered based on longitudinal body mass index z score and HbA1c from a baseline visit and 5+ year follow-up visit (mean diabetes duration: 1.4 ± 0.4 years and 8.2 ± 1.9 years, respectively). Logistic regression modeling tested cluster associations with seven early/subclinical diabetes complications at follow-up, adjusting for sex, race/ethnicity, age, and duration.

RESULTS

Four longitudinal weight-glycemia clusters were identified: The Referent Cluster (n = 195, 34.3%), the Hyperglycemia Only Cluster (n = 53, 9.3%), the Elevated Weight Only Cluster (n = 206, 36.1%), and the Elevated Weight With Increasing Hyperglycemia (EWH) Cluster (n = 115, 20.2%). Compared with the Referent Cluster, the Hyperglycemia Only Cluster had elevated odds of dyslipidemia [adjusted odds ratio (aOR) 2.22, 95% CI: 1.15 to 4.29], retinopathy (aOR 9.98, 95% CI: 2.49 to 40.0), and diabetic kidney disease (DKD) (aOR 4.16, 95% CI: 1.37 to 12.62). The EWH Cluster had elevated odds of hypertension (aOR 2.18, 95% CI: 1.19 to 4.00), dyslipidemia (aOR 2.36, 95% CI: 1.41 to 3.95), arterial stiffness (aOR 2.46, 95% CI: 1.09 to 5.53), retinopathy (aOR 5.11, 95% CI: 1.34 to 19.46), and DKD (aOR 3.43, 95% CI: 1.29 to 9.11).

CONCLUSIONS

Weight-glycemia phenotypes show different patterns of complications, particularly markers of subclinical macrovascular disease, even in the first decade of T1D.

Sex-specific Mendelian randomization study of genetically predicted insulin and cardiovascular events in the UK Biobank

Insulin drives growth and reproduction which trade-off against longevity. Genetically predicted insulin, i.e., insulin proxied by genetic variants, is positively associated with ischemic heart disease, but sex differences are unclear, despite different disease rates and reproductive strategies by sex. We used Mendelian randomization in 392,010 white British from the UK Biobank to assess the sex-specific role of genetically predicted insulin in myocardial infarction (MI) (14,442 cases, 77% men), angina (21,939 cases, 65% men) and heart failure (5537 cases, 71% men). Genetically predicted insulin was associated with MI (odds ratio (OR) 4.27 per pmol/L higher insulin, 95% confidence interval (CI) 1.60 to 11.3) and angina (OR 2.93, 1.27 to 6.73) in men, but not women (MI OR 0.80, 95% CI 0.23 to 2.84, angina OR 1.10, 95% CI 0.38 to 3.18). Patterns were similar for insulin resistance and heart failure. Mitigating the effects of insulin might address sexual disparities in health.