Utility of Insulin Resistance in Estimating Cardiovascular Risk in Subjects with Type 1 Diabetes According to the Scores of the Steno Type 1 Risk Engine

Severe hypoglycemia and hypoglycemia awareness are associated with preclinical atherosclerosis in patients with type 1 diabetes without an estimated high cardiovascular risk

AIMS

To explore the relationship between severe hypoglycemia (SH) and hypoglycemia awareness with preclinical atherosclerosis in type 1 diabetes (T1D).

MATERIALS AND METHODS

Cross-sectional study in patients with T1D without cardiovascular disease (CVD), and with ≥1 of the following: ≥40 years, diabetic kidney disease, or ≥10 years of T1D duration with another risk factor. CVD risk was estimated with the Steno T1 Risk Engine (Steno-Risk). Carotid plaque was evaluated using standardised ultrasonography protocol. Logistic regression models adjusted for CVD risk factors were constructed to test the independent associations with SH or hypoglycemia awareness assessed by the Clarke questionnaire (Clarke). The inclusion of SH and Clarke in Steno-Risk was further evaluated.

RESULTS

We included 634 patients (52.4% men, age 48.3 ± 10.8 years, T1D duration 27.4 ± 11.1 years, 39.9% harbouring plaque). A stepped increase in the presence of plaque according to Steno-Risk was observed (13.5%, 37.7%, and 68.7%, for low, moderate, and high risk, respectively; p < 0.001). SH history (OR 4.4 [1.3-14.6]) and Clarke score (OR 1.7 [1.2-2.2]) were associated with plaque in low-risk patients (n = 192). Clarke score was also associated with plaque burden in low-moderate-risk participants (n = 436; ≥2 plaques: OR 1.2 [1.0-1.5], p = 0.031; ≥3 plaques: OR 1.4 [1.1-2.0], p = 0.025). The inclusion of SH and Clarke scores in Steno-Risk significantly improved the identification of low-risk individuals with atherosclerosis (area under the curve: 0.658 vs. 0.576; p = 0.036).

CONCLUSIONS

In patients with T1D without an estimated high CVD risk, SH and hypoglycemia awareness assessment score were independently associated with preclinical atherosclerosis and improved identification of patients who would benefit from an intensive approach.

Double diabetes-when type 1 diabetes meets type 2 diabetes: definition, pathogenesis and recognition

Currently, the differentiation between type 1 diabetes (T1D) and type 2 diabetes (T2D) is not straightforward, and the features of both types of diabetes coexist in one subject. This situation triggered the need to discriminate so-called double diabetes (DD), hybrid diabetes or type 1.5 diabetes, which is generally described as the presence of the insulin resistance characteristic of metabolic syndrome in individuals diagnosed with T1D. DD not only raises the question of proper classification of diabetes but is also associated with a significantly greater risk of developing micro- and macroangiopathic complications, which was independent of glycaemic control. When considering the global obesity pandemic and increasing incidence of T1D, the prevalence of DD may also presumably increase. Therefore, it is of the highest priority to discover the mechanisms underlying the development of DD and to identify appropriate methods to prevent or treat DD. In this article, we describe how the definition of double diabetes has changed over the years and how it is currently defined. We discuss the accuracy of including metabolic syndrome in the DD definition. We also present possible hypotheses connecting insulin resistance with T1D and propose possible methods to identify individuals with double diabetes based on indirect insulin resistance markers, which are easily assessed in everyday clinical practice. Moreover, we discuss adjuvant therapy which may be considered in double diabetic patients.

Insulin resistance-related features are associated with cognitive decline: a cross-sectional study in adult patients with type 1 diabetes

BACKGROUND

To investigate the associations between insulin resistance (IR)-related features and cognitive function in type 1 diabetes (T1D).

METHODS

A total of 117 adult patients with T1D were recruited in this cross-sectional study. IR-related features include overweight/obesity/central obesity, hypertension, atherogenic dyslipidemia, and decreased estimated insulin sensitivity (eIS). The Wechsler Memory Scale-Chinese Revision, Wisconsin Card Sorting Test, and Sustained Attention to Response Task was used to assess memory, executive function and sustained attention, respectively. A z-score was generated from each test, and a composite measure of global cognitive performance was calculated by averaging the z-scores of all tests. Cognitive differences were measured between T1D patients with and without IR-related features. The associations between IR-related features and and cognitive performance were analyzed using: logistic regression, partial correlation, and multivariate linear regression analysis.

RESULTS

A total of 53 (45.3%) T1D patients were defined as having IR-related features. Individuals with IR-related features displayed worse overall cognitive scores compared to those without and had a 4-fold increase in the risk for having global cognitive z-score < 0. Among the IR-related features, higher triglyceride (TG) and lower eIS showed linear correlation with lower global cognitive performance. And the subsequent regression analysis identified eIS as the factor independently associated with global cognitive performance.

CONCLUSIONS

We have provided evidence linking IR-related features to deteriorated cognitive function in adult patients with T1D. And eIS showed an independent positive correlation with global cognitive performance. Although no causal relationship can be drawn, IR emerges as an important factor reflecting cognitive function.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03610984.

A comparative study of cardiovascular risk stratification methods in type 1 diabetes mellitus patients

The Steno Diabetes Center Copenhagen developed the Steno T1 Risk Engine (ST1RE) to predict cardiovascular events, encompassing fatal and nonfatal ischemic heart disease, ischemic stroke, heart failure, and peripheral arterial disease in type 1 diabetes mellitus(T1DM).The current study investigated the agreement between ST1RE and the Brazilian Society for Endocrinology and Metabology (SBEM) classification. Participants were included in the study if diagnosed with T1DM and had at least one outpatient visit in 2021. Patients with established cardiovascular disease and chronic kidney disease on dialysis were excluded. Clinical parameters were obtained from medical records, such as age, body mass index (BMI), blood pressure, physical activity, current smoking, microvascular target organ damage, levels of low-density lipoprotein cholesterol, creatinine, glycated hemoglobin (HbA1c), and albuminuria.Overall, 92 patients (38 males and 53 females) with an age median (P25; P75) of 33 years (25.5;42.5), BMI of 24.8 + 4.1 kg/m2, and duration of diabetes (mean ± SD) of 23.4 + 9.5 years were evaluated. There were no differences considering the gender for most analyzed variables, but a higher proportion of women exhibited microvascular complications such as microalbuminuria, macroalbuminuria, and retinopathy. Our results show a weak agreement in the 10-year cardiovascular risk estimation between SBEM and ST1RE classifications. According to SBEM criteria, 72.8% of patients were considered high-risk, while only 15.2% of patients received the same classification using ST1RE. The dissimilarities between these two classifications were also evident when age and gender factors were compared. While 60% of patients under 35 years were classified as high risk according to SBEM criteria, only 1.8% received this stratification risk in the ST1RE classification.The results indicate a low agreement between the 10-year cardiovascular event risk classification by SBEM and the classification by ST1RE for type 1 diabetes patients without established cardiovascular disease.

Insulin Resistance in Adolescents and Youth With Type 1 Diabetes: A Review of Problems and Solutions

Though insulin resistance (IR) was previously considered a feature of only type 2 Diabetes (T2DM), its development in type 1 Diabetes (T1DM) is not an uncommon occurrence, the causes of which are multifactorial (gender, pubertal status, diabetes duration, ethnicity, genetics, adiposity, glycemic control, chronic inflammation). Despite improvements in glucose, blood pressure and lipid profile, vascular complications (coronary artery disease and nephropathy) continue to remain common causes of morbidity and mortality in T1DM. Aggressive glycemic control reduces but does not eliminate the risk of IR. IR accelerates the development of micro and macrovascular complications, many of which can be potentially reversed if diagnosed and managed early. Lack of endogenous insulin production makes estimation of insulin sensitivity in T1DM difficult. As hyperinsulinemic-euglycemic clamp studies are cumbersome and invasive, the use of prediction equations for calculating estimated insulin sensitivity may prove to be useful. Along with intensive insulin therapy, dietary modifications and increasing physical activity, the role of Metformin in managing IR in T1DM is becoming increasingly popular. Metformin adjunct therapy in T1DM has been shown to improve insulin sensitivity, glycemic control, lipid profile, body composition, vascular smooth muscle function, thereby reducing the risk of vascular complications, as well as reversal of early vascular dysfunction. However, further studies to assess long-term efficacy and safety of Metformin use in adolescents and youth with T1DM are needed. This review aims at revisiting the pathophysiology of IR in T1DM and techniques of identifying those at risk so as to put into action various strategies for management of the same.

Comparison of insulin sensitivity indices for detection of double diabetes in Indian adolescents with type 1 diabetes

OBJECTIVES

The role of insulin sensitivity (IS) in the development and progression of metabolic syndrome (MS) in subjects with type-1 diabetes (T1D) is being increasingly recognized. As patients with T1D lack endogenous insulin secretion, measurement of insulin concentration by immunoassay or by indices such as homeostasis model of assessment for insulin resistance (HOMA-IR) is not helpful in assessing IS. Hence, some equations have been developed and validated against data from euglycemic-hyper-insulinemic clamp tests (the gold standard) to estimate IS. 1) To assess IS using available equations (EDC, SEARCH and CACTI) and relationship of IS with MS and microalbuminuria in adolescents with T1D, (2) To compare the predictive value of these equations for detection of MS and derive a cut-off to predict the future risk of development of MS and microalbuminuria and (3) To identify the most accurate non-invasive and easy-to-use equation for detecting patients with double diabetes (DD) in a clinical setting.

METHODS

This cross-sectional study included 181 adolescents aged 12-18 years with T1D. Demographic data and laboratory measurements were performed using standard protocols. IS was calculated using following equations:(1) EDC=24.31-12.22×(WHR)-3.29×(hypertension)-0.57×(HbA1c), (2) SEARCH=exp(4.64725-0.02032(waist)-0.09779(HbA1c)-0.00235(Triglycerides), (3)CACTI-exA=exp(4.1075-0.01299×(waist)-1.05819×(insulin dose)-0.00354×(Triglycerides)-0.00802×(DBP)).

RESULTS

IS determined by all three methods had significant negative correlation (p<0.05) with MS as well as with microalbuminuria. The cut-off value of 5.485 mg/kg/min by SEARCH method for determining IS had the highest sensitivity and specificity in identifying MS.

CONCLUSIONS

IS by SEARCH equation may be used in routine clinical practice to detect DD in Indian adolescents with T1D at risk of developing metabolic as well as microvascular complications.

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.