Meta-analysis of type 1 diabetes mellitus and risk of cardiovascular disease

Risk of Ischemic and Hemorrhagic Stroke in Individuals With Type 1 and Type 2 Diabetes: A Nationwide Cohort Study in Sweden

BACKGROUND AND OBJECTIVES

Diabetes significantly increases the risk of cardiovascular events, including stroke. Although the association with ischemic stroke is well established, the relationship with hemorrhagic stroke remains unclear. This study aimed to evaluate the risk of ischemic and hemorrhagic stroke in individuals with type 1 and type 2 diabetes compared with diabetes-free controls from the general population.

METHODS

This cohort study included individuals with type 1 or type 2 diabetes from the Swedish National Diabetes Register between 2005 and 2019, matched to diabetes-free controls by age and sex. Data on baseline characteristics, comorbidities, medications, and outcomes were collected from multiple national registers. Stroke incidence rates and adjusted hazard ratios were estimated using Cox proportional hazard models, stratified by diabetes type, for ischemic and hemorrhagic stroke.

RESULTS

The study included 47,720 individuals with type 1 diabetes (mean age 34.4, 44.8% female) and 686,158 with type 2 diabetes (mean age 65.3, 43.3% female), matched to 143,160 and 2,058,474 controls, respectively. In individuals with type 1 diabetes, the ischemic stroke risk was 2.54 times higher (95% CI 2.36-2.73) and the hemorrhagic stroke risk was 1.88 times higher (95% CI 1.57-2.26) compared with controls. In individuals with type 2 diabetes, the ischemic stroke risk was 1.37 times higher (95% CI 1.35-1.38) while the hemorrhagic stroke risk was not significantly increased (HR: 0.99, 95% CI 0.96-1.02). Higher HbA1c levels were associated with increased ischemic stroke risk for both diabetes types. For hemorrhagic stroke, individuals with type 1 diabetes had significantly higher risk starting at HbA1c > 52 mmol/mol while in those with type 2 diabetes, a modest risk increase was observed only at HbA1c > 72 mmol/mol.

DISCUSSION

The risk of ischemic stroke was higher for both diabetes types. Individuals with type 1 diabetes also exhibited a higher risk of hemorrhagic stroke compared with diabetes-free controls while type 2 diabetes was significantly associated with risk of hemorrhagic stroke only when HbA1c was higher than 72 mmol/mol. These findings highlight the increased stroke risk in diabetes, with distinct patterns by stroke subtype and diabetes type. Tailored prevention strategies are essential to address these differences.

Using gut microbiome metagenomic hypervariable features for diabetes screening and typing through supervised machine learning

Diabetes mellitus is a complex metabolic disorder and one of the fastest-growing global public health concerns. The gut microbiota is implicated in the pathophysiology of various diseases, including diabetes. This study utilized 16S rRNA metagenomic data from a volunteer citizen science initiative to investigate microbial markers associated with diabetes status (positive or negative) and type (type 1 or type 2 diabetes mellitus) using supervised machine learning (ML) models. The diversity of the microbiome varied according to diabetes status and type. Differential microbial signatures between diabetes types and negative group revealed an increased presence of Brucellaceae, Ruminococcaceae, Clostridiaceae, Micrococcaceae, Barnesiellaceae and Fusobacteriaceae in subjects with diabetes type 1, and Veillonellaceae, Streptococcaceae and the order Gammaproteobacteria in subjects with diabetes type 2. The decision tree, elastic net, random forest (RF) and support vector machine with radial kernel ML algorithms were trained to screen and type diabetes based on microbial profiles of 76 subjects with type 1 diabetes, 366 subjects with type 2 diabetes and 250 subjects without diabetes. Using the 1000 most variable features, tree-based models were the highest-performing algorithms. The RF screening models achieved the best performance, with an average area under the receiver operating characteristic curve (AUC) of 0.76, although all models lacked sensitivity. Reducing the dataset to 500 features produced an AUC of 0.77 with sensitivity increasing by 74% from 0.46 to 0.80. Model performance improved for the classification of negative-status and type 2 diabetes. Diabetes type models performed best with 500 features, but the metric performed poorly across all model iterations. ML has the potential to facilitate early diagnosis of diabetes based on microbial profiles of the gut microbiome.

Impact of type 1 diabetes mellitus on mortality rate and outcome of hospitalized patients with myocardial infarction

INTRODUCTION

Type 1 diabetes mellitus (T1D) is associated with an increased cardiovascular risk. We aimed to investigate the influence of T1D on myocardial infarction (MI) patients' mortality.

MATERIALS AND METHODS

The German nationwide inpatient sample 2005-2016 was used for statistical analysis. Hospitalized MI patients were stratified for T1D and impact of T1D on in-hospital outcomes was investigated.

RESULTS

In total, 3,307,703 hospitalizations of MI patients (37.6 % females, 56.8 % aged ≥70 years) were counted in Germany 2005-2016 and included in this analysis. In 18,625 (0.6 %) of the cases additionally T1D was coded. Overall, 410,737 (12.4 %) in-hospital deaths occurred within the investigation period. MI patients with T1D were younger (64.0 [IQR 52.0-75.0] vs. 73.0 [62.0-81.0] years, P < 0.001), more often female (38.7 % vs. 37.6 %, P < 0.001) and obese (13.2 % vs. 9.3 %, P < 0.001). Comorbidities like peripheral arterial (14.2 % vs. 6.4 %, P < 0.001) and kidney disease (38.5 % vs. 27.2 %, P < 0.001) were more prevalent in MI patients with T1D. T1D was an independent risk factor for in-hospital death (OR 1.23 [95%CI 1.18-1.29], P < 0.001), recurrent MI (OR 1.56 [95%CI 1.35-1.80], P < 0.001), and stroke (OR 1.75 [95%CI 1.63-1.88], P < 0.001). While percutaneous coronary intervention (PCI, 37.8 % vs. 42.0 %, P < 0.001) was less often, coronary artery bypass grafting (CABG, 7.4 % vs. 4.6 %, P < 0.001) was more often performed in MI patients with T1D, confirmed by regression analysis (PCI: OR 0.66 [95%CI 0.64-0.68], P < 0.001; CABG: OR 1.54 [95%CI 1.45-1.63], P < 0.001).

CONCLUSIONS

T1D represents an important and independent risk factor for mortality in MI patients. The results emphasize the high vulnerability of T1D patients who suffer from MI.

Effects of glucagon-like peptide-1 receptor agonists on glycated haemoglobin and continuous glucose monitoring metrics as adjunctive therapy to insulin in adults with type 1 diabetes: A meta-analysis of randomized controlled trials

AIMS

To conduct a meta-analysis of randomized controlled trials (RCTs) to evaluate the effect of glucagon-like peptide-1 receptor agonists (GLP-1RAs) on glycated haemoglobin (HbA1c) and continuous glucose monitoring (CGM) metrics as an adjunct to insulin therapy in adults with type 1 diabetes mellitus (T1D).

METHODS

A systematic literature search was conducted through Medline (via PubMed), Cochrane Library, and Google Scholar up to 27 May 2024. Dual-independent study selection, data extraction, and quality assessment were performed. Results were summarized using random-effects meta-analysis.

RESULTS

Six RCTs were identified, involving a total of 378 individuals with T1D. The use of GLP-1RAs in addition to standard insulin therapy was associated with a significant reduction in HbA1c (mean difference [MD] -0.21%, 95% confidence interval [CI] -0.36 to -0.06; p = 0.007) and a similar time in range (TIR) compared to placebo (MD -0.22%, 95% CI -2.39 to 1.95; p = 0.84). GLP-1RA therapy resulted in a significantly higher time below range (MD 1.13%, 95% CI 0.50 to 1.76; p < 0.001) and a lower time above range compared with placebo (MD -1.83%, 95% CI -2.51 to -1.15; p < 0.001). Nonsignificant differences were noted for the secondary outcomes, including the mean amplitude of glucose excursion, continuous overall net glycaemic action for 60 min, mean daily glucose, coefficient of variation, and mean standard deviation of weekly glucose levels.

CONCLUSION

Our findings suggest that, in individuals with T1D, add-on therapy with GLP-1RAs does not confer significant benefits in terms of CGM metrics and is associated with a longer time below the target glycaemic range.

Autoimmune diseases and cardiovascular risk: Mendelian randomization analysis for the impact of 19 autoimmune diseases on 14 cardiovascular conditions

Backgroud

Autoimmune diseases (AIDs) have been associated with various cardiovascular diseases (CVDs) in observational data. However, the causality of these associations remains uncertain. Therefore, a systematic assessment of the impact of AIDS on cardiovascular risk is required.

Results

We assessed the impact of 19 common AIDs on 14 CVDs using bidirectional Mendelian randomization (MR). Celiac disease (odds ratio [OR] = 2.949, 95 % confidence interval [CI]: 1.111-7.827, P = 0.030) and type 1 diabetes mellitus (T1DM) (OR = 1.044, 95 % CI: 1.021-1.068, P = 1.82e-4) were associated with an increased risk of peripheral arterial disease (PAD). Additionally, celiac disease was linked to an increased risk of arrhythmia (OR = 1.008, 95 % CI: 1.002-1.013, P = 0.004), multiple sclerosis to venous thromboembolism (OR = 1.001, 95 % CI: 1.000-1.001, P = 0.010), and psoriasis to heart failure (OR = 1.048, 95 % CI: 1.021-1.077, P = 0.001). Sensitivity analyses were conducted to enhance the robustness of these findings. Predominantly, immune response and inflammation-related pathways were enriched in the aforementioned associations. Mediation analysis identified human leukocyte antigen-DR positive myeloid dendritic cells as partially mediating the effect of T1DM on PAD, with a mediated proportion of 16.61 % (P = 0.028). Potential therapeutic agents, such as tumor necrosis factor-alpha inhibitors and interferon, may have efficacy in treating AID-related CVDs.

Conclusions

This study presents genetic evidence of certain AIDs impacting specific CVDs and identifies potential mediators and drugs.

Causes of Excess Mortality in Diabetes Patients Without Coronary Artery Disease: A Cohort Study Revealing Endocrinologic Contributions

Background

Diabetes mellitus (DM) patients without coronary artery disease (CAD) have a higher all-cause mortality rate than patients with neither DM nor CAD. We examined cause-specific death of DM patients with and without CAD.

Methods

We conducted a cohort study of all patients who underwent CAG in Western Denmark between 2003 and 2016. Using Danish health registries, patients were followed for a maximum of 10 years and stratified according to their DM and CAD status. Outcomes included all-cause-, cancer-, circulatory-, and endocrinologic death. Ten-year cumulative risks were computed as well as adjusted and unadjusted hazard ratios (aHR and HR).

Results

A total of 132,432 patients (28,524 deaths, median follow-up of 6.2 years) were included. Compared to patients with neither DM nor CAD, DM patients without CAD had a higher 10-year risk of all-cause death (27.9% versus 19.7%, aHR 1.43 [95% CI 1.35-1.52]), cancer death (7.2% versus 5.4%, aHR 1.29 [95% CI 1.15-1.46]), circulatory death (9.1% versus 6.9%, aHR 1.35 [95% CI 1.22-1.49]), and endocrinologic death (3.9% versus 0.3%, aHR 14.02 [95% CI 10.95-17.95]). Among endocrinologic deaths, 87% were due to classical complications of DM, such as diabetic nephropathy and ketoacidosis, in DM patients without CAD.

Conclusion

Diabetes patients without CAD exhibit a higher risk of all-cause mortality, driven primarily by elevated rates of cancer, circulatory, and endocrinologic deaths, particularly related to diabetic microvascular complications.

The Burden of Inpatient Hospitalizations with Cardiac and Cerebrovascular Diseases in Patients with Type 1 Diabetes: Insights from the National Inpatient Sample in the US

BACKGROUND

This study aimed to evaluate the burden and impact of cardiac and cerebrovascular disease (CCD) on hospital inpatients with type 1 diabetes mellitus (T1DM).

METHODS

This is a retrospective nationwide cohort study of people with T1DM with or without CCD in the US National Inpatient Sample between 2016 and 2019. The in-hospital mortality rates, length of stay (LoS), and healthcare costs were determined.

RESULTS

A total of 59,860 T1DM patients had a primary diagnosis of CCD and 1,382,934 did not. The median LoS was longer for patients with CCD compared to no CCD (4.6 vs. 3 days). Patients with T1DM and CCD had greater in-hospital mortality compared to those without CCD (4.1% vs. 1.1%, p < 0.001). The estimated total care cost for all patients with T1DM with CCD was approximately USD 326 million. The adjusted odds of mortality compared to patients with non-CCD admission was greatest for intracranial hemorrhage (OR 17.37, 95%CI 12.68-23.79), pulmonary embolism (OR 4.39, 95%CI 2.70-7.13), endocarditis (OR 3.46, 95%CI 1.22-9.84), acute myocardial infarction (OR 2.31, 95%CI 1.92-2.77), and stroke (OR 1.47, 95%CI 1.04-2.09).

CONCLUSIONS

The burden of CCD in patients with T1DM is substantial and significantly associated with increased hospital mortality and high healthcare expenditures.

Longitudinal Three-Year Associations of Dietary Fruit and Vegetable Intake with Serum hs-C-Reactive Protein in Adults with and without Type 1 Diabetes

High-sensitivity C-reactive protein (hs-CRP) is a widely used clinical biomarker of systemic inflammation, implicated in many chronic conditions, including type 1 diabetes (T1D). Despite the increasing emphasis on dietary intake as a modifiable risk factor for systemic inflammation, the association of hs-CRP with fruit and vegetable consumption is relatively underexplored in T1D. To address this gap, we investigated the longitudinal associations of dietary pattern-derived fruit and vegetable scores with hs-CRP in adults with and without T1D. Additionally, we examined the impact of berry consumption as a distinct food group. Data were collected in the Coronary Artery Calcification in Type 1 Diabetes study over two visits that were three years apart. At each visit, participants completed a food frequency questionnaire, and hs-CRP was measured using a particle-enhanced immunonephelometric assay. Mixed effect models were used to examine the three-year association of fruit and vegetable scores with hs-CRP. Adjusted models found a significant inverse association between blueberry intake and hs-CRP in the nondiabetic (non-DM) group. Dietary Approaches to Stop Hypertension- and Alternative Healthy Eating Index-derived vegetable scores were also inversely associated with hs-CRP in the non-DM group (all p-values ≤ 0.05). Conversely, no significant associations were observed in the T1D group. In conclusion, dietary pattern-derived vegetable scores are inversely associated with hs-CRP in non-DM adults. Nonetheless, in T1D, chronic hyperglycemia and related metabolic abnormalities may override the cardioprotective features of these food groups at habitually consumed servings.

Acute Myocardial Infarction in a Seven-Year-Old Child With Type 1 Diabetes: A Rare Case Report

Myocardial infarction (MI) is extremely rare in children and can have different etiologies, including congenital heart defects and Kawasaki disease. Cardiovascular disease (CVD) is the primary cause of death in patients with type 1 diabetes (T1D). Effective management of risk factors like blood pressure, cholesterol, and blood sugar levels is essential for individuals with T1D to mitigate the risk of cardiovascular complications, including MI. We present the case of a seven-year-old child diagnosed with type 1 diabetes one month before this admission, without any other notable medical history, who was admitted to the pediatric emergency department due to chest pain. The symptoms had begun two hours prior to admission. Upon arrival, the patient reported severe and persistent retrosternal constrictive chest pain radiating to the left arm without other associated signs, with a strictly normal clinical examination. An electrocardiogram (ECG) revealed typical ST segment elevation in inferior leads (II, III, and aVF) with reciprocal changes in V1 to V4. Troponin level was elevated at 7254 ng/l. Echocardiography revealed mild dilation of the left coronary artery (4 mm) and the right coronary artery (3 mm), while other radiological and laboratory investigations showed no abnormalities. The patient responded well to treatment with acetylsalicylic acid, clopidogrel, and heparin, resulting in a favorable outcome.

People with type 1 diabetes exhibit lower exercise capacity compared to a control population with similar physical activity levels

AIMS

We aimed to assess physical activity (PA) levels, adherence to PA guidelines, and fitness capacity in individuals with type 1 diabetes (T1D) and control population.

METHODS

This cross-sectional study included 232 T1D and 248 controls. PA levels (IPAQ-SF questionnaire), adherence to guidelines (>150 min/week of moderate-to-vigorous PA), fitness capacity (VO2max, maximal incremental test on a cycle ergometer and 1RM test) were assessed, along with other clinical variables.

RESULTS

Total PA levels (T1D 2202 ± 1839 vs. controls 2357 ± 2189 METs/min/week), adherence (T1D 53.1 % vs controls 53.2 %), and sedentariness (T1D 27.3 % vs. controls 25.1 %) were similar between groups. However, participants with T1D exhibited significantly lower levels of VO2max (29.1 ± 10.5 vs. 32.5 ± 11.5 mlO2/kg/min, p < 0.001), work capacity (2.73 ± 1.03 vs. 3 ± 10 W/kg of body weight, p = 0.004) and strength capacity (2.29 ± 0.53 vs. 2.41 ± 0.79 kg/kg body weight in 1RM, p = 0.01) than controls, after adjusting for sex and age.

CONCLUSIONS

Individuals with T1D exhibit lower fitness capacity compared to a control population, regardless of age and sex, even when presenting similar levels of total physical activity and adherence to guidelines.

Stroke incidence increases with diabetic retinopathy severity and macular edema in type 1 diabetes

BACKGROUND

As the retina is suggested to mirror the brain, we hypothesized that diabetic retinopathy and macular edema are indicative of stroke risk in type 1 diabetes and sought to assess this association in individuals with type 1 diabetes.

METHODS

We included 1,268 adult FinnDiane Study participants with type 1 diabetes (age 38.7 ± 11.8 years, 51.7% men vs. 48.3% women, and 31.5% had diabetic kidney disease), data on baseline diabetic retinopathy severity, and first stroke during our observational follow-up. Retinopathy was graded by the Early Treatment Diabetic Retinopathy Study (ETDRS) scale, and macular edema as clinically significant (CSME) or not. Strokes identified from registries were confirmed from medical files. Adjusted hazard ratios (HR) for stroke by retinopathy severity and CSME were calculated by Cox models adjusted for clinical confounders, including diabetic kidney disease.

RESULTS

During median 18.0 (14.1-19.3) follow-up years, 130 strokes (96 ischemic, 34 hemorrhagic) occurred. With no-very mild (ETDRS 10-20) retinopathy as reference, the adjusted HR for stroke was 1.79 (95%CI 1.02-3.15) in non-proliferative (ETDRS 35-53), and 1.69 (1.02-2.82) in proliferative (ETDRS 61-85) retinopathy. Corresponding adjusted HR for ischemic stroke was 1.68 (0.91-3.10) in non-proliferative and 1.35 (0.77-2.36) in proliferative retinopathy. The adjusted HR for hemorrhagic stroke was 2.84 (0.66-12.28) in non-proliferative and 4.31 (1.16-16.10) in proliferative retinopathy. CSME did not increase HR for any stroke type after adjustment for clinical confounders (data not shown).

CONCLUSIONS

Stroke incidence increases with the severity of diabetic retinopathy independently of comorbid conditions, including diabetic kidney disease.

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.

The double burden: type 1 diabetes and heart failure-a comprehensive review

Heart failure (HF) is increasing at an alarming rate, primary due to the rising in aging, obesity and diabetes. Notably, individuals with type 1 diabetes (T1D) face a significantly elevated risk of HF, leading to more hospitalizations and increased case fatality rates. Several risk factors contribute to HF in T1D, including poor glycemic control, female gender, smoking, hypertension, elevated BMI, and albuminuria. However, early and intensive glycemic control can mitigate the long-term risk of HF in individuals with T1D. The pathophysiology of diabetes-associated HF is complex and multifactorial, and the underlying mechanisms in T1D remain incompletely elucidated. In terms of treatment, much of the evidence comes from type 2 diabetes (T2D) populations, so applying it to T1D requires caution. Sodium-glucose cotransporter 2 inhibitors have shown benefits in HF outcomes, even in non-diabetic populations. However, most of the information about HF and the evidence from cardiovascular safety trials related to glucose lowering medications refer to T2D. Glycemic control is key, but the link between hypoglycemia and HF hospitalization risk requires further study. Glycemic variability, common in T1D, is an independent HF risk factor. Technological advances offer the potential to improve glycemic control, including glycemic variability, and may play a role in preventing HF. In summary, HF in T1D is a complex challenge with unique dimensions. This review focuses on HF in individuals with T1D, exploring its epidemiology, risk factors, pathophysiology, diagnosis and treatment, which is crucial for developing tailored prevention and management strategies for this population.

Effectiveness of Non-pharmacological Interventions for Adolescents With Type 1 Diabetes in the Last Five Years: A Systematic Review and Meta-analysis

PURPOSE

Evidence on non-pharmacological interventions for adolescents with type 1 diabetes is unclear. This review aimed to evaluate the effectiveness of non-pharmacological intervention in adolescents with type 1 diabetes.

METHODS

We conducted a search on databases from November 11 to 19, 2022, for randomized controlled trials for the effects of non-pharmacological intervention in adolescents with type 1 diabetes. To identify recent research trends, we included studies published from 2017 to November 2022. The risk of bias was assessed using the Cochrane risk-of-bias tool 2.0. To estimate the effect size, a meta-analysis was performed using RevMan 5.4 program and R Studio.

RESULTS

A total of 45 studies were included in the systematic review. Among those, 30 studies were included in the meta-analysis. Non-pharmacological interventions were significantly effective in improving Glycated hemoglobin (HbA1c) (standardized mean difference [SMD] = -0.26, 95% confidence interval [CI]: -0.42, -0.09), quality of life (SMD = 0.44, 95% CI: 0.13 to 0.76), and anxiety (SMD = -0.91, 95% CI: -1.26, -0.56). Subgroup analysis showed that duration of intervention was not a covariate related to HbA1c levels.

CONCLUSIONS

Non-pharmacological interventions have shown effectiveness in improving the HbA1c, quality of life, and anxiety in adolescents with type 1 diabetes. Future studies with more rigorous methodology are needed to confirm and strengthen the validity of these findings. Additionally, attention to changes in the lipid profile and self-care motivation among adolescents with type 1 diabetes is warranted.

TRIAL REGISTRATION NUMBER

Prospective Register of Systematic Reviews (CRD42022382190).

Environmental exposures and blood pressure in adolescents and adults in the T1D exchange clinic registry

AIMS

To examine the associations between environmental determinants of health and blood pressure and whether age, sex, or race moderated the associations among 18,754 adolescents and adults from the type 1 diabetes (T1D) Exchange Clinic Registry.

METHODS

We used multivariable linear regression. Environmental determinants included exposure to ambient fine particulate matter (PM2.5, obtained from an integrated model), nitrogen dioxide (NO2), noise and light pollution, and the normalized difference vegetation index (NDVI, a marker of green space) at the ZIP code level of residence.

RESULTS

Higher exposure to PM2.5 and NO2, and lower NDVI, was associated with higher systolic and diastolic blood pressure, and higher light pollution exposure were similarly associated with higher diastolic blood pressure. These associations between environmental exposures and blood pressure remained significant after accounting for other covariates (age, sex, race/ethnicity, BMI, and T1D duration). With aging, the negative association between NDVI and blood pressure weakened.

CONCLUSIONS

These findings emphasize the significance of minimizing exposure to environmental pollutants, including PM2.5 and NO2, as well as ensuring access to areas with higher NDVI, to promote cardiovascular health in individuals with T1D.

Type 1 diabetes and risk of heart failure: A systematic review and meta-analysis

AIM

Robust data on type 1 diabetes (T1DM) and the risk of heart failure (HF) is scarce.

METHODS

We searched PubMed and EMBASE for relevant studies, abstracted data on HF incidence rate and adjusted relative risk (aRR) for T1DM, type 2 diabetes (T2DM) and controls, and pooled incidence rates and aRRs for HF across studies.

RESULTS

Four studies including 61,885 T1DM patients, 4,599,213 non-diabetic controls, and 248,021 T2DM patients (three studies) were included. The pooled average proportions of men were 56%, 54%, and 55%, for T1DM, T2DM, and controls, respectively. The corresponding pooled average participants' ages were 40, 65 and 57 years, respectively. Over a 1 to 12 years follow-up, 1378, 3993, 18,945 HF events occurred among individuals with T1DM, T2DM, and controls, yielding pooled HF incidence rates of 5.8 (95%CI: 4.1-7.6), 10.0 (95% CI: 6.1-13.9), 2.3 (95% CI: 1.5-3.2) per 1000 person-years, respectively. Compared to controls, T1DM patients had a 3-fold higher HF risk (aRR 3.4, 95% CI 2.71-4.26). The RR of HF was ∼ 5-fold higher in women (aRR: 4.9, 95% CI: 4.1-5.9) vs. 3-fold higher in men (aRR: 3.0, 95% CI: 2.2-4.0).

CONCLUSIONS

Individuals with T1DM had a substantially higher risk of HF compared to those without diabetes.

Association of type 1 diabetes mellitus and risk of atrial fibrillation: Systematic review and meta-analysis

AIM

Whether type 1 diabetes mellitus (T1DM) could be regarded as an independent risk factor for atrial fibrillation (AF) risk remains unclear, and thus we aimed to elaborate on this association in our meta-analysis.

METHODS

We systematically searched the Pubmed, Embase, Cochrane Library and Web of Science databases up to August 2022 for studies that were related to T1DM and AF incidence. Hazard ratios (HRs) and 95% confidence intervals (CIs) from each study were pooled via a random-effects model.

RESULTS

A total of four cohort studies were involved in our meta-analysis. Our pooled results suggested that T1DM patients had a higher AF risk (HR = 1.30, 95%CI 1.15-1.47) than the control group. In the subgroup analysis, a higher AF incidence was also found in female T1DM patients (HR = 1.50, 95%CI 1.26-1.79) than that in male patients. Compared with T1DM patients over 65 years, those with < 65 years showed an increased risk of AF (HR = 1.45, 95%CI 1.21-1.74).

CONCLUSIONS

Our meta-analysis demonstrated that T1DM was an independent risk factor for AF development, but further studies should be performed to provide more convincing evidence.

Haptoglobin genotype and its relation to asymptomatic cerebral small-vessel disease in type 1 diabetes

AIM

Cerebral small-vessel disease (SVD) is prevalent in type 1 diabetes and has been associated with the haptoglobin variant allele Hp1. Contrarily, the Hp2-allele has been linked to cardiovascular disease and the role of haptoglobin-genotype in asymptomatic SVD is unknown. We, therefore, aimed to evaluate the alleles' association with SVD.

METHODS

This cross-sectional study included 179 neurologically asymptomatic adults with type 1 diabetes (women 53%, mean age 39 ± 7 years, diabetes duration 23 ± 10 years, HbA_1c 8.1 ± 3.2% [65 ± 12 mmol/mol]). Examinations included genotyping (genotypes Hp1-1, Hp2-1, Hp2-2) by polymerase chain reaction, clinical investigation, and magnetic resonance brain images assessed for SVD manifestations (white matter hyperintensities, cerebral microbleeds, and lacunar infarcts).

RESULTS

SVD prevalence was 34.6%. Haptoglobin genotype frequencies were 15.6% (Hp1-1), 43.6% (Hp1-2), and 40.8% (Hp2-2). Only diastolic blood pressure differed between the genotypes Hp1-1, Hp1-2, and Hp2-2 (81 [74-83], 75 [70-80], and 75 [72-81] mmHg, p = 0.019). Haptoglobin genotype frequencies by presence versus absence of SVD were 16.1%; 46.8%; 37.1% versus 15.4%; 41.9%; 42.7% (p = 0.758). Minor allele frequencies were 39.5% versus 36.3% (p = 0.553). Hp1 homozygotes and Hp2 carriers displayed equal proportions of SVD (35.7% vs 34.4%, p > 0.999) and SVD manifestations (white matter hyperintensities 14.3% vs 17.9%, p = 0.790; microbleeds 25.0% vs 21.9%, p = 0.904; lacunar infarcts 0% vs 3.6%, p > 0.999). Hp1-1 was not associated with SVD (OR 1.19, 95% CI 0.46-2.94, p = 0.712) when adjusting for age, blood pressure, and diabetic retinopathy.

CONCLUSIONS

Although the SVD prevalence was high, we detected no significant association between SVD and haptoglobin-genotype.

Cardiovascular outcomes in type 1 and type 2 diabetes

Diabetes is one of the most prevalent cardiometabolic disorders on the planet. Type 1 diabetes accounts for only a minority of all cases (recently estimated to be ~2% globally); however, since this is a disorder with an early onset, many people live with type 1 diabetes for a long time. CVD and premature death are the main long-term outcomes for both types of diabetes; however, the type of diabetes that carries the highest risk of these outcomes is a controversial topic and has not been widely studied. Because of the association between diabetes and CVD, the rise in type 2 diabetes prevalence over the past decades has huge effects on global health. The excess risk in people with diabetes compared with those without depends, to a large extent, on the presence of other factors, such as general cardiovascular risk factors (e.g. elevated LDL-cholesterol, hypertension and smoking) and also factors that are more specific to diabetes (e.g. HbA1c, and micro- and macroalbuminuria). Some contributory factors are modifiable, while others are not, such as age, sex and type of diabetes. Older people with type 2 diabetes who have risk factors that are under control can achieve levels of CVD risk that are similar to that of the general population, while younger individuals with type 1 diabetes are mostly unable to achieve similar levels of risk, probably because of long and cumulative exposure to raised blood glucose levels. Despite reports of declining rates of CVD among people with type 1 and type 2 diabetes, rising rates of both types of diabetes lead to a continuing rise in the number of people with cardiometabolic disorders worldwide, offsetting the progress made in many countries. Comparison between individuals with type 1 and type 2 diabetes with respect to risk of CVD is fraught with difficulties and highly dependent on other, concomitant factors, some of which are modifiable and others not. Nonetheless, as a whole, what matters most in determining the management of diabetes is absolute risk and lifetime risk. Life-long efforts to achieve glycaemic control, control of lipids and hypertension, and not smoking are key to prevention, with a healthy lifestyle and pharmacological therapy to be implemented as needed.

Diabetes mellitus type 1 and coronary artery disease with severe systolic heart failure in 25 year-old adult

Diabetes mellitus (DM) type 1 accounts for up to 90% of all cases of diabetes among children, adolescents and young adults (10 % are represented by T2DM, MODY, etc.). DM is characterized not only by glucose metabolism disorder, but also by abnormal protein and lipid metabolism, leading to severe macrovascular complications. A clinical case of diabetes type 1, hyperlipidemia, coronary artery disease (CAD) and chronic heart failure (HF) in a 25-year-old adult has been demonstrated. The medical examination revealed lipid metabolism disorders, multivessel coronary artery disease, which required myocardial revascularization, and severe heart failure with a reduced ejection fraction (HFrEF). The clinical case demonstrates that proper cardiovascular examination should be performed in all patients with diabetes and lipid disorders, regardless of age and type of diabetes. The authors also consider the use of sodium-glucose 

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.

Description of a Cohort of Type 1 Diabetes Patients: Analysis of Comorbidities, Prevalence of Complications and Risk of Hypoglycemia

BACKGROUND

Despite major medical advances, Type 1 Diabetes (T1D) patients still have greater morbimortality than the general population. Our aim was to describe our cohort of T1D patients and identify potential risk factors susceptible to prevention strategies.

METHODS

Cross-sectional, observational study, including T1D patients treated at our center, from 1 March 2017 to 31 March 2020.

INCLUSION CRITERIA

T1D, age > 14 years and signed informed consent.

EXCLUSION CRITERIA

diabetes other than T1D, age < 14 years and/or refusal to participate.

RESULTS

Study population n = 2181 (49.8% females, median age at enrollment 41 years, median HbA1c 7.7%; 38.24% had at least one comorbidity). Roughly 7.45% had severe hypoglycemia (SH) within the prior year. Macro/microvascular complications were present in 42.09% (5.83% and 41.14%, respectively). The most frequent microvascular complication was diabetic retinopathy (38.02%), and coronary disease (3.21%) was the most frequent macrovascular complication. The risk of complications was higher in males than in females, mainly macrovascular. Patients with SH had a higher risk of complications (OR 1.42; 1.43 in males versus 1.42 in females).

CONCLUSIONS

Our T1D population is similar to other T1D populations. We should minimize the risk of SH, and male patients should perhaps be treated more aggressively regarding cardiovascular risk factors.

Heart Failure in Type 1 Diabetes: A Complication of Concern? A Narrative Review

Heart failure (HF) has been a hot topic in diabetology in the last few years, mainly due to the central role of sodium-glucose cotransporter 2 inhibitors (iSGLT2) in the prevention and treatment of cardiovascular disease and heart failure. It is well known that HF is a common complication in diabetes. However, most of the knowledge about it and the evidence of cardiovascular safety trials with antidiabetic drugs refer to type 2 diabetes (T2D). The epidemiology, etiology, and pathophysiology of HF in type 1 diabetes (T1D) is still not well studied, though there are emerging data about it since life expectancy for T1D has increased in the last decades and there are more elderly patients with T1D. The association of T1D and HF confers a worse prognosis than in T2D, thus it is important to investigate the characteristics, risk factors, and pathophysiology of this disease in order to effectively design prevention strategies and therapeutic tools.

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

Cardiovascular disease (CVD) remains the main cause of morbidity and mortality in individuals with type 1 diabetes (T1D). Adolescence appears to be a critical time for the development of early subclinical manifestations of CVD, with these changes likely driven by a deterioration in glycemic control during the progression through puberty, combined with the emergence of numerous other traditional cardiometabolic risk factors (e.g., hypertension, dyslipidemia, smoking, alcohol use, obesity, etc.) which emerge at this age. Although hemoglobin A1C has long been the primary focus of screening and treatment strategies, glycemic control remains poor in youth with T1D. Furthermore, screening for cardiovascular risk factors-which are often elevated in youth with T1D-is suboptimal, and use of pharmacological interventions for hypertension and dyslipidemia remains low. As such, there is a clear need not only for better screening strategies for CVD risk factors in youth, but also early interventions to reduce these, if future CVD events have to be prevented. Accumulating evidence has recently suggested that early increases in urinary albumin excretion, even within the normal range, may identify adolescents with T1D who are at an increased risk of complications, and results from pharmacological intervention with statins and ACE inhibitors in these individuals have been encouraging. These data join a growing evidence highlighting the need for a whole-life approach to prevention starting from childhood if efforts to improve CVD outcomes and related mortality in T1D are to be maintained.