Estimated glucose disposal rate in assessment of the metabolic syndrome and microvascular complications in patients with type 1 diabetes

Estimated glucose disposal rate predicts the risk of diabetic peripheral neuropathy in type 2 diabetes: A 5-year follow-up study

BACKGROUND

Insulin resistance is associated with chronic complications of diabetes, including diabetic peripheral neuropathy (DPN). Estimated glucose disposal rate (eGDR), calculated by the common available clinical factors, was proved to be an excellent tool to measure insulin resistance in large patient population. Few studies have explored the association between eGDR and DPN longitudinally. Therefore, we performed the current study to analyze whether eGDR could predict the risk of DPN.

METHODS

In this prospective study, 366 type 2 diabetes (T2DM) subjects without DPN were enrolled from six communities in Shanghai in 2011-2014 and followed up until 2019-2020. Neuropathy was assessed by Michigan Neuropathy Screening Instrument (MSNI) at baseline and at the end of follow-up.

FINDINGS

After 5.91 years, 198 of 366 participants progressed to DPN according to MNSI examination scores. The incidence of DPN in the low baseline eGDR (eGDR < 9.15) group was significantly higher than in the high baseline eGDR (eGDR ≥ 9.15) group (62.37% vs. 45.56%, p = .0013). The incidence of DPN was significantly higher in patients with sustained lower eGDR level (63.69%) compared with those with sustained higher eGDR level (35.80%). Subjects with low baseline eGDR (eGDR < 9.15) had significantly higher risk of DPN at the end of follow-up (odds ratio = 1.75), even after adjusting for other known DPN risk factors.

CONCLUSIONS

The 5-year follow-up study highlights the importance of insulin resistance represented by eGDR in the development of DPN in T2DM. Diabetic patients with low eGDR are more prone to DPN and, therefore, require more intensive screening and more attention.

Comparison of Two Estimated Glucose Disposal Rate Methods for Detecting Insulin Resistance in Adults with Type 1 Diabetes Mellitus

Background: The presence of insulin resistance (IR) in patients with type 1 diabetes mellitus (T1DM) is a significant indicator of all chronic diabetic complications, independent of other risk factors. The estimated glucose disposal rate (eGDR) is a practical method that can be easily used in daily practice to determine IR. This study aimed to determine the cutoff values for two eGDR methods and compare their diagnostic value for determining IR in adult T1DM patients with metabolic syndrome (MetS). Methods: This cross-sectional study was performed on 184 adults admitted to the endocrinology outpatient clinic diagnosed with T1DM. Demographic characteristics, anthropometric measurements, and the presence of hypertension (HT) were recorded. The eGDR of all patients was calculated using two formulas based on HbA1c level, presence of HT, waist-to-hip ratio (WHR), or waist circumference (WC). Diagnostic cutoff values for both eGDRs were defined using receiver operating characteristic (ROC) analysis. Patients were divided into two groups according to the cutoff values. The accuracy of the diagnostic cutoffs for eGDRwhr and eGDRwc was compared using a Bland-Altman plot. Results: The cutoff value for eGDRwhr was 7.37 mg/(kg·min) with 83.3% specificity and 86.7% sensitivity [area under the curve (AUC) = 0.901; P < 0.001; 95% confidence interval (CI), 0.824-0.977] and for eGDRwc 7.50 mg/(kg·min) with 79.8% specificity and 83.3% sensitivity (AUC = 0.895; P < 0.001; 95% CI, 0.817-0.972) for the presence of MetS. Further ROC analysis showed that the difference between the two AUCs (0.901 and 0.895) was not significant (P = 0.923). Conclusion: Assessment of eGDR would lead to early prevention of diabetic complications. eGDR is measured using either WHR or WC. This study is the first to compare WHR and WC in calculating eGDR in adults. WHR and WC are not superior to each other for calculating eGDR in determining IR in T1DM.

Investigating the connection among thyroid function, sensitivity to thyroid hormones, and metabolic syndrome in euthyroid children and adolescents affected by type 1 diabetes

OBJECTIVES

A connection between thyroid hormones (THs) and diverse metabolic pathways has been reported. We evaluated thyroid function and tissue sensitivity to THs in children and adolescents with T1D in comparison to euthyroid controls. Additionally, we investigate whether a relationship exists between sensitivity indices and metabolic parameters.

METHODS

A retrospective analysis was conducted on 80 pediatric patients diagnosed with T1D. Clinical parameters, TSH, FT3, FT4, and the presence of MS were documented. Additionally, indices of peripheral sensitivity (FT3/FT4 ratio) and central sensitivity (TSH index, TSHI; TSH T4 resistance index, TT4RI; TSH T3 resistance index, TT3RI) were assessed. Thirty healthy subjects were considered as controls.

RESULTS

The overall prevalence of MS was 7.27 %, with MS identified in 8 out of 80 (10 %) T1D subjects; none of the controls manifested MS (p<0.01). No significant differences were observed in indexes of tissue sensitivity to THs between subjects with or without MS (all p>0.05). Correlations between THs and indexes of THs tissue sensitivity and metabolic parameters in controls and T1D patients were noted.

CONCLUSIONS

This study affirms a heightened prevalence of MS in children with T1D compared to controls and underscores the potential role of THs in maintaining metabolic equilibrium.

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.

Hirsutism and Polycystic Ovarian Morphology are the Most Frequent Components of Polycystic Ovary Syndrome in Women with Type 1 Diabetes

BACKGROUND

Polycystic ovarian syndrome (PCOS) is one of the most common endocrine disorders in women of reproductive age. In Mexico, its prevalence in patients with type 1 diabetes (T1D) is unknown.

AIM

To evaluate the clinical and biochemical characteristics of patients with T1D with and without PCOS.

METHODS

A cross-sectional study was conducted to evaluate women of reproductive age with T1D for the diagnosis of PCOS using the criteria of the European Society for Human Reproduction and Embryology/American Society for Reproductive Medicine. Clinical information was obtained from clinical records, and we recorded anthropometric variables and performed a laboratory test during the follicular phase. The estimated glucose disposal rate and visceral adiposity index were also calculated to assess insulin resistance. Subsequently, participants were evaluated based on the presence or absence of PCOS.

RESULTS

Thirty-nine percent of patients with T1D had PCOS. The most frequent components of PCOS were polycystic ovary morphology (58.5%), clinical hyperandrogenism (41.5%), oligomenorrhea (29.2%), and biochemical hyperandrogenism (19.5%). Patients with PCOS used more insulin per day (1.04 ± 0.33 vs. 0.71 ± 0.29 IU/kg/d, p = 0.003), had lower fasting glucose (116.4 ± 59.79 vs. 161.16 ± 63.9 mg/dl, p = 0.029) and higher right ovarian volume (11.36 [8.64-15.89] vs. 6.9 [5.55-8.77] cm3, p = 0.005) and Ferriman-Gallwey scores (9.06 ± 2.05 vs. 7.12 ± 3.15 points, p = 0.035) compared to patients without PCOS. The frequency of insulin resistance and metabolic syndrome in women with PCOS was 37.5 and 18.8%, respectively.

CONCLUSION

PCOS is a very heterogeneous entity, with a high frequency in women with T1D.

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.

Estimated Glucose Disposal Rate Predicts Renal Progression in Type 2 Diabetes Mellitus: A Retrospective Cohort Study

Context

Insulin resistance is a feature of type 2 diabetes mellitus (T2DM). The estimated glucose disposal rate (eGDR), a validated marker for insulin resistance, is associated with complications of diabetes, but few studies have explored the relationship between eGDR and renal outcomes in T2DM.

Objective

This study investigated the value of eGDR in predicting renal progression in T2DM.

Methods

A total of 956 T2DM patients with a baseline estimated glomerular filtration rate (eGFR) ≥ 60 mL/min/1.73 m² and 5 years of follow-up were enrolled. Primary outcomes were rapid eGFR decline, eGFR <60 mL/min/1.73 m², and composite renal endpoint consisting of 50% eGFR decline, doubling of serum creatinine, or end-stage renal disease. A continuous scale with restricted cubic spline curves and a generalized linear model were applied to evaluate the associations between eGDR and primary outcomes.

Results

Rapid eGFR decline was experienced by 23.95% of patients, 21.97% with eGFR <60 mL/min/1.73 m², and 12.13% with the composite renal endpoint. The eGDR showed a relationship with follow-up eGFR and percentage change in eGFR (P < .001). An eGDR <6.34 mg/kg/min was an independent risk factor for rapid eGFR decline, eGFR < 60 mL/min/1.73 m², or the composite renal endpoint(P < .05). Compared with eGDR of 5.65∼6.91 mg/kg/min, eGDR levels >8.33 mg/kg/min decreased the risk of rapid eGFR decline by 75%, eGFR < 60 mL/min/1.73 m² by 60%, and the composite renal endpoint by 61%. Subgroup analysis was performed by sex, age, and diabetes duration, which showed that eGDR was associated with primary outcomes.

Conclusion

Lower eGDR is a predictive factor for renal deterioration in T2DM patients.

Metabolic syndrome in patients with type 1 diabetes mellitus at a tertiary centre in North India: A five year follow up study

BACKGROUND AND AIMS

Metabolic syndrome (MS) is prevalent in the Indian population and has been traditionally linked to Type 2 diabetes mellitus (T2DM). Its presence is now being increasingly recognized in patients with Type 1 diabetes mellitus (T1DM). Presence of MS may increase the risk of diabetes related complications. This study was designed to determine the prevalence of MS in a cohort of patients with T1DM at baseline and at 5 years of follow up.

METHODS

Longitudinal cohort study in a tertiary care center in North India. Patients with T1DM attending the Diabetes of the Young (DOY) Clinic from January 2015 to March 2016 included. Microvascular and macrovascular complications assessed. The cohort was followed after a period of 5 years.

RESULTS

We included 161 patients (males, 49.4%) with a median (IQR) age of 23 (18-34) years and median (IQR) diabetes duration of 12 (7, 17) years. At baseline, 31 (19.2%) patients had MS. Patients with MS were more likely to have microvascular complications: retinopathy (p = 0.003), neuropathy (p = 0.02) and nephropathy (p = 0.04). Independent predictors of MS: insulin sensitivity (IS) (adjusted OR (aOR) 0.02 [95% CI, 0.003-0.118]), body weight (aOR 1.05 [95% CI, 1.007-1.108]), diastolic blood pressure (aOR 1.08 [95% CI, 1.01-1.15]) and duration of diabetes (aOR 1.09 [95% CI, 1.02-1.16]). On follow-up (n = 100), 13 (13%) had MS.

CONCLUSIONS

One in 5 patients with T1DM suffers from MS, and is therefore predisposed to its attendant risks, calling for early identification and targeted interventions.

Serum adiponectin concentrations as a risk factor for cardiovascular complications in type 1 diabetes

AIM

By analyzing data from DCCT/EDIC study, we investigated the associations of serum adiponectin concentrations with macrovascular complications and cardiovascular events in T1D.

MATERIALS AND METHODS

Adiponectin concentrations were measured in EDIC year 8. The participants (n = 1040) were divided into four groups by quartiles of adiponectin concentrations. The association of macrovascular complications and cardiovascular events were analyzed by using multivariable regression and Cox proportional hazards models.

RESULTS

High adiponectin concentrations were associated with decreased risk of peripheral artery disease represented by ankle brachial index (ORs (95% CI): 0.22 (0.07-0.72), 0.48 (0.18-1.25), and 0.38 (0.14-0.99) in fourth, third, and second quartiles compared with first quartile), with reduced carotid intima-media thickness, and with increased LVEDV index. Moreover, high adiponectin concentrations were also associated with increased risk of any cardiovascular events (HRs (95% CI): 2.59 (1.10-6.06), 2.03 (0.90-4.59), and 1.22 (0.52-2.85)) and major atherosclerotic cardiovascular events (HRs (95% CI): 11.37 (2.04-63.43), 5.68 (1.04-31.07), and 3.76 (0.65-21.77) in fourth, third, and second quartiles compared with first quartile), however, after adjustments with LVEDV index, these associations were diminished.

CONCLUSIONS

Adiponectin may protect carotid atherosclerosis and peripheral artery disease in T1D. It may be associated with increased cardiovascular events, depending on cardiac structural changes.

Insulin resistance and hepatic steatosis in type 1 diabetes mellitus and their association with diabetic chronic complications

BACKGROUND

The aim of this study was to evaluate insulin resistance and hepatic steatosis and their association with diabetes duration, control and chronic complications in patients with type 1 diabetes.

METHODS

We studied medical records of 181 consecutive hospitalized adult patients with type 1 diabetes. Estimated glucose disposal rate (eGDR), Insulin Sensitivity Score (ISS), Fatty Liver Index (FLI) and Hepatic Steatosis Index (HSI) were calculated.

RESULTS

Patients in the 1^st tertile of eGDR (<4.1 mg/kg^-1-min^-1) and ISS (<4.8) had higher prevalence of ischemic cardiovascular disease (ICVD) (P<0.001), hepatic steatosis, higher gamma glutamyl transpeptidase, HSI, FLI compared with participants from the 2^nd and 3^rd tertile of eGDR and ISS. Compared with those without steatosis, patients with ultrasound-diagnosed steatosis (30.5%) had a lower ISS (4.4±1.9 vs. 6.3±2.4, P<0.001), eGDR (4.5±3.0 vs. 5.8±2.7, P=0.01), higher FLI (72.5±25.1 vs. 51.0±27.2, P<0.001), HSI (37.5±6.1 vs. 35.2±4.7, P=0.03) and prevalence of ICVD (71.7 vs. 45.7%, P=0.004) and retinopathy (69.6 vs. 52.4%, P=0.03). Factors independently associated with hepatic steatosis were only ICVD (OR=2.584, P=0.029), ISS (OR 0.148, P<0.001), aspartate aminotransferase (OR=1.025, P=0.038) and male gender (OR=2.726, P=0.016).

CONCLUSIONS

Insulin resistance and hepatic steatosis are common in type 1 diabetes and have a significant association with ICVD, independently of diabetes duration, control and insulin doses.

Nuclear Magnetic Resonance-Based Lipidomics in the Assessment of Cardiometabolic Risk in Type 1 Diabetes: An Exploratory Analysis

INTRODUCTION

Cardiovascular disease (CVD) is the leading cause of mortality in type 1 diabetes (T1D). However, there is a need for daily practice tools for identifying those more prone to suffer from these events. We aimed to assess the relationships between nuclear magnetic resonance (¹H NMR)-based lipidomic analysis and several CVD risk variables (including preclinical carotid atherosclerosis) in individuals with T1D at high risk.

METHODS

We included patients with T1D without CVD, with at least one of the following: age ≥ 40 years, diabetic kidney disease, or ≥ 10 years of evolution with another risk factor. The presence of plaque (intima-media thickness > 1.5 mm) was determined by standardized ultrasonography protocol. Lipidomic analysis was performed by ¹H NMR. Bivariate and multivariate-adjusted differences in ¹H NMR lipidomics were evaluated.

RESULTS

We included n = 131 participants (49.6% female, age 46.4 ± 10.3 years, diabetes duration 27.0 ± 9.5 years, 47.3% on statins). Carotid plaques were present in 28.2% of the individuals (n = 12, with ≥ 3 plaques). Glucose (HbA1c), anthropometric (body mass index and waist circumference), and insulin resistance-related (fatty liver index and estimated glucose disposal rate) variables were those most associated with ¹H NMR-derived lipidomic analysis (p < 0.01 for all). Regarding preclinical atherosclerosis, sphingomyelin was independently associated with carotid plaque presence (for 0.1 mmol/L increase, OR 0.50 [0.28-0.86]; p = 0.013), even after adjusting for age, sex, hypertension, statin use, mean 5-year HbA1c and diabetes duration. Furthermore, linoleic acid and ω-6 fatty acids remained independently associated with higher plaque burden (≥ 3 plaques) in multivariate models (0.17 [0.03-0.93] and 0.27 [0.07-0.97], respectively; p < 0.05 for both).

CONCLUSION

In our preliminary study of individuals with T1D at high risk, several ¹H NMR-derived lipidomic parameters were independently associated with preclinical atherosclerosis. Specifically, ω-6 fatty acids and linoleic acid seem promising for identifying those with higher plaque burden.

Association of parental cardiovascular risk factors with offspring type 1 diabetes mellitus insulin sensitivity

AIM

This study aimed to determine whether the insulin resistance (IR) and lipid profiles in Type 1 Diabetes (T1D) offspring are associated with IR and other cardiovascular risk factors in their parents.

METHODS

This study included 99 T1D patients (19.6 ± 4.0 yrs.), 85 mothers and 60 fathers. Parents' IR was assessed by HOMA-IR, and the insulin sensitivity in T1D patients was assessed by the estimated Glucose Disposal Rate (eGDR).

RESULTS

The eGDR in the T1D offspring was negatively related to age (p = 0.023), weight (p = 0.004), LDL (p = 0.026), and microalbuminuria (p = 0.019). Maternal Type 2 Diabetes (p < 0.001) and HOMA-IR (p = 0.029) were negatively related to eGDR in their T1D offspring. The maternal HOMA-IR and the proband's eGDR were positively (p = 0.012) and negatively (p = 0.042) associated with the birth weight of the T1D offspring, respectively. We didn't find an association with the fathers' profiles.

CONCLUSIONS

In a cohort of offspring with T1D the insulin sensitivity was related to the IR, lipid profile, and the presence of T2D only in their mothers. Precocious screening and treatment of these risk factors beyond glycemic control will benefit T1D with this background.

Current status of metabolic surgery in patients with type I diabetes mellitus and obesity: a nationwide multicenter study

PURPOSE

While obesity is prevalent among patients with type I diabetes mellitus (T1DM), the effects of metabolic surgery on patients with T1DM have not been adequately investigated. The study aims to investigate the perioperative outcomes and the improvement of comorbidity 1 year following metabolic surgery amongst this patient population.

METHODS

In this study, we evaluated the effects of sleeve gastrectomy (SG) and Roux-Y gastric bypass (RYGB) on patients with T1DM and insulin resistance.

RESULTS

One hundred forty-nine patients (SG n = 91 and RYGB n = 58) with obesity, T1DM, and insulin resistance were analyzed. There was no significant difference in BMI reduction and %EWL 1 year after surgery between the two groups. In the SG group, BMI reduction was 6.5 kg/m2 versus 5.9 kg/m2 in the RYGB group (p=0.406). The %EWL was 68.2 ± 25.2 in the RYGB group and 64.3 ± 21.5 in SG (p=0.332). There was also no significant difference in weight loss between the two groups (14.9 ± 5.4 kg in SG vs. 14.2 ± 7 kg in RYGB; p=0.548). In all patients, insulin requirements decreased after surgery, and in 22% of patients, insulin requirements were equivalent to those of normal-weight individuals. There was a significantly higher rate of remission of reflux in RYGB patients than in SG patients (94·44% vs 29·41; p<0.001).

CONCLUSION

Patients with obesity and T1DM may benefit from metabolic surgery. Both methods produce satisfactory results in this group of patients regarding daily insulin requirements and treatment of obesity-related diseases. However, the decision of which procedure should be carried out still depends on the patient's general condition and the surgeon's technical ability.

Independent euglycaemic hyperinsulinaemic clamp studies validate clinically applicable formulae to estimate insulin sensitivity in people with type 1 diabetes

BACKGROUND AND AIM

Low insulin sensitivity (IS) increases Type 1 diabetes (T1D) complication risk and can be estimated by simple formulae developed from complex euglycemic hyperinsulinaemic clamp studies. We aimed to validate these formulae using independent clamp data.

METHODS

Clamps were performed in 104 T1D adults. Measured glucose disposal rate (GDR) was correlated with eGDR and eLog10 M/I calculated by five IS formulae.

RESULTS

Correlations ranged between 0.23-0.40. Two IS formulae (by the authors), using age, sex, HDL-C, HbA1c, pulse pressure, BMI, and waist-hip-ratio had the highest correlation with measured GDR and the best performance in detecting low IS.

Relationship Between Estimated Glucose Disposal Rate and Type 2 Diabetic Retinopathy

PURPOSE

To investigate the association between diabetic retinopathy (DR), DR intensity, and estimated glucose disposal rate (eGDR) in individuals with type 2 diabetes mellitus (T2DM).

PATIENTS AND METHODS

This study comprised 1762 T2DM patients who were admitted between January and December, 2021. Overall, the DR was identified in 430 patients. Based on the eGDR, the participants were divided into four study groups. One-way analysis of variance was used to compare the groups. The correlations between eGDR and DR risk, eGDR, and DR severity were analyzed using regression analysis. Furthermore, these relationships were analyzed in different sex groups.

RESULTS

Patients with T2DM had a 19.75% (348/1762) DR detection rate, whereas those with DR had a 22.41% (78/348) proliferative DR detection rate. The DR group had substantially reduced levels of eGDR compared with the non-DR group. Multivariate logistic regression analysis demonstrated that reduced eGDR was an independent risk factor for DR, after adjusting for confounding variables. eGDR correlated significantly with proliferative DR in women but not in men.

CONCLUSION

In Chinese individuals with T2DM, lower eGDR was independently associated with a higher risk of DR.

The association of insulin resistance measured through the estimated glucose disposal rate with predictors of micro-and macrovascular complications in patients with type 1 diabetes

BACKGROUND AND AIM

Insulin resistance (IR) is associated with a higher rate of type 1 diabetes (T1D) complications. We aimed to examine the relationship between estimated glucose disposal rate (eGDR), a readily available marker of IR in clinical practice and early predictor biomarkers of macrovascular and microvascular complications in patients with T1D.

DESIGN

A cross-sectional study.

METHODS

A total of 165 consecutive patients with T1D free of cardiovascular, eye, and renal complications were included in the study from 2016 to 2020. Participants were characterized as insulin resistant if their eGDR value was ≤ 8 mg/kg/min. Pulse wave velocity (PWV) and global longitudinal strain (GLS) were used as surrogates for subclinical atherosclerosis and left ventricular systolic dysfunction (LVSD), respectively. Four previously standardized tests based on the calculation of heart rate variability (HRV) were used to evaluate subclinical cardiac autonomic neuropathy (CAN). Early nephropathy was assessed by assessing urinary albumin to creatinine ratio (ACR).

RESULTS

The population sample (n = 165) included a majority of female patients (63%) and had a median age of 32 years (24-43), median disease duration of 14 years ( ± 9.5-21.5), a median BMI value of 23.7 kg/m² (21.4-26.6), an HbA1C of 7.2% (6.7-8.2) and median eGDR (lower values indicate higher insulin resistance) of 9.2 mg/kg/min (8.2-9.9), while 21.8% (n = 36) of the participants were characterized as insulin resistant. After adjustment for age, gender, and the duration of diabetes, the presence of IR was significantly associated with higher prevalence of subclinical atherosclerosis (OR:2.59, 95% CI: 1.06-6.30, p = 0.036), CAN (OR:3.07, 95% CI: 1.02-9.32, p = 0.047) and subclinical LVSD (OR: 4.9, 95% CI: 1.94-12.79, p = 0.001). No association was shown with ACR.

CONCLUSIONS

In patients with T1D, insulin resistance, as measured by eGDR, correlates well with early CVD predictors and CAN. These associations appear independent of the effects of gender, aging, and disease duration.

Highlighting the Role of Obesity and Insulin Resistance in Type 1 Diabetes and Its Associated Cardiometabolic Complications

PURPOSE OF REVIEW

This narrative review appraises research data on the potentially harmful effect of obesity and insulin resistance (IR) co-existence with type 1 diabetes mellitus (T1DM)-related cardiovascular (CVD) complications and evaluates possible therapeutic options.

RECENT FINDINGS

Obesity and IR have increasingly been emerging in patients with T1DM. Genetic, epigenetic factors, and subcutaneous insulin administration are implicated in the pathogenesis of this coexistence. Accumulating evidence implies that the concomitant presence of obesity and IR is an independent predictor of worse CVD outcomes. The prevalence of obesity and IR has increased in patients with T1DM. This increase can be partly attributed to general population trends but, additionally, to iatrogenic weight gain caused by insulin treatment. This association might be the missing link explaining the excess CVD burden observed in patients with T1DM despite optimal glycemic control. Data on newer agents for type 2 diabetes mellitus (T2DM) treatment are unraveling novel ways to challenge this aggravating coexistence.

Higher NADH Dehydrogenase [Ubiquinone] Iron–Sulfur Protein 8 (NDUFS8) Serum Levels Correlate with Better Insulin Sensitivity in Type 1 Diabetes

Objective: The aim of the study was to evaluate NADH dehydrogenase [ubiquinone] iron–sulfur protein 8 (NDUFS8) serum concentration as a marker of Complex I, and the relationship with insulin resistance in type 1 diabetes mellitus (T1DM). Design and methods: Participants were adults with T1DM, recruited over the course of 1 year (2018–2019). NDUFS8 protein serum concentration was measured using the ELISA test. Insulin resistance was evaluated with indirect marker estimated glucose disposal rate (eGDR). The group was divided on the base of median value of eGDR (higher eGDR—better insulin sensitivity). Results: The study group consists of 12 women and 24 men. Medians of eGDR and NDUFS8 protein concentration are 7.6 (5.58–8.99) mg/kg/min and 2.25 (0.72–3.81) ng/mL, respectively. The group with higher insulin sensitivity has higher NDUFS8 protein serum concentration, lower waist to hip ratio (WHR), body mass index (BMI), and they are younger. A negative correlation is observed between NDUFS8 protein serum concentration and WHR (rs = −0.35, p = 0.03), whereas a positive correlation is observed between NDUFS8 protein serum concentration and eGDR (rs = 0.43, p = 0.008). Univariate logistic regression shows a significant association between insulin sensitivity and lower age, as well as a higher NDUFS8 serum level. A multivariate logistic regression model confirms the significance (AOR 2.38 (1.04–5.48). p = 0.042). Multivariate linear regression confirms a significant association between insulin sensitivity and better mitochondrial function (beta = 0.54, p = 0.003), independent of age, duration of diabetes, and smoking. Conclusions: Higher NDUFS8 protein serum concentration is associated with higher insulin sensitivity among adults with T1DM.

The relationship between estimated glucose disposal rate and bone turnover markers in type 2 diabetes mellitus

PURPOSE

To investigate the relationship between estimated glucose disposal rate (eGDR) and bone turnover markers in patients with type 2 diabetes mellitus (T2DM).

MATERIALS AND METHODS

This is a cross-sectional study, which recruited 549 patients with T2DM. The eGDRs of patients were calculated based on the presence of hypertension, glycated hemoglobin, and body mass index. All patients were divided into high-eGDR group and low-eGDR group using the median of eGDR as the boundary. The patients were further divided into two subgroups: males and postmenopausal females.

RESULTS

The lower the eGDR, the more severe was insulin resistance. The levels of osteocalcin (OC), type I collagen carboxyl-terminal peptide (β-CTX), and type I procollagen amino-terminal peptide (PINP) were significantly lower in the low-eGDR group than those in the high-eGDR group. The eGDR was positively correlated with OC, β-CTX, and PINP in all patients, and in the male subgroups. In the postmenopausal female subgroup, there was no correlation between eGDR and OC, β-CTX, or PINP. In addition, this positive correlation remained after adjusting for other factors in multilinear regression analysis.

CONCLUSION

Our study was the first to demonstrate that eGDR is positively correlated with bone turnover markers in patients with T2DM. This correlation was observed among the male patients with T2DM but not among postmenopausal female patients with T2DM.

Prevalence of Metabolic Syndrome in Relation to Cardiovascular Biomarkers and Dietary Factors among Adolescents with Type 1 Diabetes Mellitus

The occurrence of metabolic syndrome (MetS) significantly affects the course of diabetes mellitus (DM), resulting in deterioration of insulin sensitivity and metabolic control, as well as many cardiometabolic complications. The aim of the study was to investigate the relationships between cardiovascular biomarkers, nutritional status, dietary factors and the occurrence of MetS among 120 participants from northeast Poland (adolescents with type 1 DM and healthy peers). MetS was assessed using several criteria: nutritional status by anthropometric measurements, body composition analysis by bioelectrical impedance, and diet using a food diary and questionnaire. MetS was diagnosed in every third diabetic. Compared to healthy peers, MetS patients had higher total body fat (26% vs. 14%, p < 0.001) and visceral fat (77 cm2 vs. 35 cm2, p < 0.001), and lower total antioxidant status (1.249 mmol/L vs. 1.579 mmol/L, p < 0.001). Additionally, their diet was rich in saturated fatty acids, but low in dietary fiber as well as mono- and polyunsaturated fatty acids. The group of diabetics reported many inappropriate eating behaviors. The combination of those with the presence of an excessive content of visceral fat tissue and abnormal values of MetS components may negatively affect metabolic control, thus accelerating the development of cardiometabolic complications.

Prevalence of non-alcoholic fatty liver disease (NAFLD) and its association with surrogate markers of insulin resistance in patients with type 1 diabetes

AIMS

Assess prevalence of hepatic steatosis (HS) and of fibrosis in an unselected population of patients with type 1 diabetes. Describe their clinical profile and explore the association between insulin resistance and NAFLD as secondary objectives.

METHODS

We prospectively assessed NAFLD by transient elastography in adult outpatients with type 1 diabetes. Patients were eligible if they did not have any known secondary cause of liver disease. NAFLD was defined as HS with or without fibrosis/cirrhosis. Associations between estimated glucose disposal rate (eGDR) and metabolic syndrome, as surrogate markers of insulin resistance, and NAFLD were explored using multivariate logistic regression models, adjusting for age, sex and diabetes duration.

RESULTS

We enrolled 150 consecutive subjects (age 47 ± 14 years, male 55%, diabetes duration 25 ± 14 years, median BMI 25 kg/m²). NAFLD prevalence was 20% (n = 30). Thirty patients (20%) had HS. Five patients (3.3%) had HS with fibrosis. eGDR and metabolic syndrome were statistically significantly associated with the presence of NAFLD (OR 0.62, 95% CI 0.49-0.77, OR 7.62, 95% CI 2.95-19.77).

CONCLUSIONS

NAFLD prevalence in patients with type 1 diabetes is considerable, mainly restricted to isolated HS, while fibrosis is rare. Insulin resistance is associated with NAFLD in patients with type 1 diabetes.

Prevalence of metabolic syndrome and predictors of metabolic risk in Indian children, adolescents and youth with type 1 diabetes mellitus

INTRODUCTION

Children with type 1 diabetes (T1D) are at the same risk of developing metabolic syndrome (MS) as the general population. Several environmental factors such as lifestyle, exogenous insulin therapy (over-insulinization) and genetic/familial factors are thought to underlie the phenotype of 'double diabetes' (co-existence of MS components in patients with T1D).

OBJECTIVES

To determine the prevalence of overweight/obesity and MS and to identify its predictors in Indian children, adolescents and young adults with T1D.

METHODS

This cross-sectional study included 355 children and youth aged 6-23 years with T1D. Demographic data were obtained from patients using questionnaires. Anthropometry, blood pressure, sexual maturity rating, biochemical measurements and body composition measurements were performed using standard protocols. Insulin resistance (IR) was calculated using estimated glucose disposal rate (eGDR) and MS was diagnosed using the international diabetes federation (IDF) consensus definition 2017.

RESULTS

The prevalence of overweight/obesity and MS in our study was 15.5% and 4.5%, respectively. Abnormal HDL-cholesterol was the most common component of MS (55.6%) among children with T1D. Age, gender, body mass index (BMI) and eGDR were identified as significant predictors of the likelihood of MS.

CONCLUSIONS

We found a similar prevalence of MS in children with T1D as compared to other healthy children, which emphasises the need for monitoring of eGDR to determine IR in these children.

Changes of insulin resistance status and development of complications in type 1 diabetes mellitus: Analysis of DCCT/EDIC study

AIM

There is no longitudinal study regarding the changes of insulin resistance (IR) status and the development of complications in type 1 diabetes (T1D). By analyzing data sets from DCCT/EDIC study, we investigated the associations of IR status changes and diabetic complications in T1D.

MATERIALS AND METHODS

Estimated glucose disposal rate (eGDR) was calculated at entry of DCCT and in EDIC year 12 (average 18.5 years later) to represent IR. The participants (n = 957) were divided into four groups based on IR changes from baseline: RR group (stayed resistant; n = 49), RS group (became sensitive; n = 42), SR group (became resistant; n = 197), and SS group (stayed sensitive; n = 669). The association of diabetic complications were analyzed by using multivariable logistic regression models.

RESULTS

The improved IR decreased the risk of peripheral neuropathy, whereas the deteriorated IR increased the risk of diabetic complications including hypertension, peripheral artery disease, coronary artery calcification, retinopathy, albuminuria, peripheral neuropathy, and cardiac autonomic neuropathy (P < 0.05). Moreover, RR group (HR = 3.59, 95% CI (2.05-6.32)), RS group (HR = 2.27, 95% CI (1.11-4.64)) and SR group (HR = 1.90, 95% CI (1.24-2.92)) had higher risk of cardiovascular events compared to SS group (P < 0.05).

CONCLUSIONS

This study highlights the importance of IR changes represented by eGDR in the development of diabetic complications. Patients with T1D and IR may require intensive therapy.

Body mass index, basal insulin and glycemic control in children with type 1 diabetes treated with the advanced hybrid closed loop system remain stable - 1-year prospective, observational, two-center study

BACKGROUND

Information on the influence of insulin treatment using advanced hybrid closed loop systems (AHCL) on body weight of young patients with type 1 diabetes (T1D) is scarce. The aim of this study was to observe whether there were any changes in body mass index (BMI) of children and adolescents with T1D treated using the Medtronic Minimed 780G AHCL after 1 year of follow up and to analyze potential associations between these changes and the insulin doses.

MATERIALS AND METHODS

For 50 children and adolescents (age 5.4-16.8 years, 24 (48%) boys, T1D for 3.9 ± 2.56 years) using an AHCL system anthropometric and AHCL data were collected prospectively. BMI Z-scores and two-week AHCL records obtained after AHCL enrollment were compared with data after 6 months and also 1 year after starting AHCL.

RESULTS

The BMI Z-score of the patients at 1 year follow-up did not change from time of AHCL initiation (0.51 ± 2.79 vs 0.57 ± 2.85, p>0.05). There was a slight increase in total daily insulin per kg of body weight (0.67 ± 0.21 U/kg vs 0.80 ± 0.21 U/kg, p <0.001), but the percent of basal insulin was unchanged (34.88 ± 6.91% vs 35.08 ± 6.30%, p>0.05). We observed also no change (AHCL start vs after 1 year) in glycemic control parameters: average sensor glucose (131.36± 11.04 mg/dL vs 132.45 ± 13.42 mg/dL, p>0.05), coefficient of variation (34.99± 5.17% vs 34.06 ± 5.38%, p>0.05), glucose management indicator (6.45 ± 0.26% vs 6.48 ± 0.32%, p>0.05), and time spent in the range of 70-180 mg/dL (79.28 ± 8.12% vs 80.40 ± 8.25%, p>0.05).

CONCLUSION

During the 1 year of follow-up the BMI of children and adolescents with T1D treated with an AHCL system remained stable. Although there was a slight increase in the total daily insulin dose, the percent of basal insulin was unchanged. The patients maintained recommended glycemic control.

The Correlation Between Estimated Glucose Disposal Rate and Coagulation Indexes in Type 2 Diabetes Mellitus

PURPOSE

To study the correlation between estimated glucose disposition rate (eGDR) and coagulation parameters in type 2 diabetes patients (T2DM).

MATERIALS AND METHODS

A total of 948 patients suffering from T2DM were enrolled for this research. Various blood coagulation parameters including prothrombin time (PT), activated partial thromboplastin time (APTT), and fibrinogen (FIB) were assessed. Body mass index (BMI), hypertension, and the levels of glycated hemoglobin (HbA1c) were used to calculate the patients' eGDRs. All patients were sorted into two groups: those with high eGDRs (eGDR≥7.5) and those with low eGDRs (eGDR<7.5). The patients were then separated into groups of men and women. The connection between eGDR and coagulation indexes was examined using Spearman correlation, Pearson correlation, and multiple linear regression analysis.

RESULTS

In comparison to the high-eGDR group, reduced PT and APTT levels with increased FIB levels were observed in the low-eGDR group (P =0.006, P <0.001, and P = 0.035, respectively). The eGDR showed a positive relation with APTT (r = 0.142, P < 0.001), a negative relation with FIB (r = -0.082, P = 0.012), and no correlation with PT (r =0.064, P =0.050) in the all patients. As well as, the eGDR demonstrated a positive relation with APTT (r = 0.173, P < 0.001), a negative relation with FIB (r = -0.093, P = 0.03), and no relation with PT (r = 0.045, P = 0.300) in the male subgroups. Additionally, this correlation persisted following the adjustment of other factors in multilinear regression analysis. However, the female subgroup demonstrated no correlation among eGDR and PT, APTT or FIB (r = 0.086, P = 0.083, r = 0.097, P = 0.05;r = -0.058, P = 0.240, respectively).

CONCLUSION

Our study is the first to prove that eGDR demonstrates a correlation with coagulation indexes in T2DM patients. And, this correlation is gender-specific.

Multi-Faceted Influence of Obesity on Type 1 Diabetes in Children - From Disease Pathogenesis to Complications

The prevalence of overweight and obesity among youth patients with diabetes type 1 is increasing. It is estimated, that even up to 35% of young patients with this type of diabetes, considered so far to be characteristic for slim figure, are overweight or even obese. General increase of obesity in children's population complicates differential diagnosis of the type of diabetes in youths. Coexistence of obesity has clinical implications for all stages of diabetes course. It is confirmed that obesity is the risk factor for autoimmune diabetes, and is connected with the earlier onset of diabetes in predisposed patients. Many diabetic patients with obesity present additional risk factors for macroangiopathy, and are recognised to present metabolic syndrome, insulin resistance, and typical for diabetes type 2 - polycystic ovary syndrome, or non-alcoholic fatty liver disease. The prevalence of obesity rises dramatically in adolescence of diabetic child, more often in girls. It has negative impact on metabolic control, glycaemic variability and insulin demand. The risk for microangiopathic complications increases as well. The treatment is difficult and includes not only insulinotherapy and non-pharmacological trials. Recently treatment of insulin resistance with biguanids, and treatment with typical for type 2 new diabetes drugs like GLP-1 analogues, SGLT-2 receptor inhibitors, or even cases of bariatric surgery also has been reported.

Estimated insulin sensitivity, cardiovascular risk, and hepatic steatosis after 12 years from the onset of T1D

AIM

To test the hypothesis that intensive insulin treatment and optimal glycaemic control are not fully protective against reduction of insulin sensitivity in children with type 1 diabetes.

MATERIAL AND METHODS

Cohort study of 78 normal-weight patients with prepubertal onset (T₀ ) and follow-up waves at 1 (T₁ ), 5 (T₅ ), 10 (T₁₀ ), and 12 (T₁₂ ) years; matched for age and sex to 30 controls at T₁₂ . Estimated insulin sensitivity (eIS) by three formulae; ultrasound evaluation of para and perirenal fat thickness; hepatic steatosis (HS); carotid intima media thickness (cIMT) at T₁₂ .

RESULTS

At T12, the 36 patients (46%) who had constantly or prevalently haemoglobin A1c (HbA1c) < 58 mmol/l during follow-up showed better eIS indexes (p = 0.049 to <0.0001); lipid profile (p = 0.042 to <0.0001), reduced fat mass (p = 0.012) and required lower insulin dose (p = 0.032) than the 42 patients (54%) with HbA1c ≥ 58 at T12. Patients (N = 25) with eIS_EDC  < 8.77 mg kg^-1  min^-1 showed higher cIMT (p < 0.0001). HS was found in 6 patients (∼8%). In patients and normal-weight controls, fat mass (p = 0.03), age (p = 0.03), cIMT (p = 0.05) predicted HS; eIS indexes (p from 0.04 to <0.0001) predicted cIMT. Body mass index, perirenal fat, fat mass, and triglycerides to high density lipoprotein cholesterol ratio were associated with eIS indexes (p from 0.03 to <0.0001).

CONCLUSIONS

Young T1D patients have reduced insulin sensitivity and higher cIMT. Adiposity, glucose, and lipid control over follow-up are likely to influence both. Enhanced adiposity seems of paramount relevance for the onset of HS in T1D patients alike in healthy youths.

Correlation between estimated glucose disposal rate and in-stent restenosis following percutaneous coronary intervention in individuals with non-ST-segment elevation acute coronary syndrome

BACKGROUND

Insulin resistance (IR) is closely associated with in-stent restenosis (ISR) following percutaneous coronary intervention (PCI). Nevertheless, the predictive power of the newly developed simple assessment method for IR, estimated glucose disposal rate (eGDR), for ISR after PCI in individuals with non-ST-segment elevation acute coronary syndrome (NSTE-ACS) remains unclear.

METHODS

NSTE-ACS cases administered PCI in Beijing Anzhen Hospital between January and December 2015 were enrolled. The included individuals were submitted to at least one coronary angiography within 48 months after discharge. Patients were assigned to 2 groups according to ISR occurrence or absence. eGDR was derived as 21.16 - (0.09 * waist circumference [cm]) - (3.41 * hypertension) - (0.55 * glycated hemoglobin [%]). Multivariate logistic regression analysis and receiver operating characteristic (ROC) curve analysis were performed for evaluating eGDR's association with ISR.

RESULTS

Based on eligibility criteria, 1218 patients were included. In multivariate logistic analysis, the odds ratios (ORs) of eGDR as a nominal variate and a continuous variate were 3.393 (confidence interval [CI] 2.099 - 5.488, P < 0.001) and 1.210 (CI 1.063 - 1.378, P = 0.004), respectively. The incremental effect of eGDR on ISR prediction based on traditional cardiovascular risk factors was reflected by ROC curve analysis (AUC: baseline model + eGDR 0.644 vs. baseline model 0.609, P for comparison=0.013), continuous net reclassification improvement (continuous-NRI) of -0.264 (p < 0.001) and integrated discrimination improvement (IDI) of 0.071 (p = 0.065).

CONCLUSION

In NSTE-ACS cases administered PCI, eGDR levels show an independent negative association with increased ISR risk.

Obesity in people living with type 1 diabetes

Although type 1 diabetes is traditionally considered a disease of lean people, overweight and obesity are becoming increasingly more common in individuals with type 1 diabetes. Non-physiological insulin replacement that causes peripheral hyperinsulinaemia, insulin profiles that do not match basal and mealtime insulin needs, defensive snacking to avoid hypoglycaemia, or a combination of these, are believed to affect body composition and drive excessive accumulation of body fat in people with type 1 diabetes. The consequences of overweight or obesity in people with type 1 diabetes are of particular concern, as they increase the risk of both diabetes-related and obesity-related complications, including cardiovascular disease, stroke, and various types of cancer. In this Review, we summarise the current understanding of the aetiology and consequences of excessive bodyweight in people with type 1 diabetes and highlight the need to optimise future prevention and treatment strategies in this population.

Association of estimated glucose disposal rate and chronic diabetic complications in patients with type 1 diabetes

Introduction

The role of insulin resistance in diabetic chronic complications among individuals with type 1 diabetes (T1D) has not been clearly defined. The aim of this study was to examine the performance of insulin resistance, evaluated using the estimated glucose disposal rate (eGDR) for the identification of metabolic syndrome (MS) and diabetic chronic complications.

Methods

Cross‐sectional study in a tertiary care centre. We included patients of 18 years and older, with at least 6 months of T1D duration. Anthropometric, clinical and biochemical data were collected.

Results

Seventy patients, 41 (58.6%) women, with a median age of 36.6 years (range 18–65). Mean age of onset and duration of diabetes was 13.5 ± 6.5 and 23.6 ± 12.2 years, respectively. Twenty‐one (30%) patients met the metabolic syndrome (MS) criteria. Patients with MS had lower eGDR compared to patients without (5.17 [3.10–8.65] vs. 8.86 [6.82–9.85] mg/kg/min, respectively, p = .003). Median eGDR in patients with nephropathy, retinopathy and neuropathy compared with those without was 6.75 (4.60–8.20) versus 9.53 (8.57–10.3); p < .001, 6.45 (4.60–7.09) versus 9.50 (8.60–10.14); p < .001, 5.56 (4.51–6.81) versus 9.49 [8.19–10.26] mg/kg/min; p < .001, respectively. The eGDR showed an area under the curve of 0.909, 0.879, 0.897 and 0.836 for the discrimination of MS, retinopathy, neuropathy and nephropathy, respectively.

Conclusions

Patients with T1D diabetic complications have higher insulin resistance. The eGDR discriminates patients with chronic diabetic complications and MS. While more ethnic‐specific studies are required, this study suggests the possibility to incorporate eGDR into routine diabetes care.

Acanthosis Nigricans in Children and Adolescents with Type 1 Diabetes or Obesity: The Potential Interplay Role between Insulin Resistance and Excess Weight

Acanthosis nigricans (AN) is associated with obesity and type 2 diabetes, where insulin resistance (IR) is considered a predisposing factor. IR can also affect patients with type 1 diabetes (T1D). We evaluated the prevalence of AN in patients with T1D compared to subjects with obesity in order to define the interplay between IR and excess weight. We considered 138 pediatric patients who presented with T1D and 162 with obesity. As controls, 100 healthy normal-weight subjects were included. A physical examination with the detection of AN and biochemical assessments was performed. IR was calculated by using the homeostasis model assessment for IR in patients with obesity and the estimated glucose disposal rate in T1D. The AN prevalence was higher in T1D and obese subjects compared with controls in whom AN was not detected (p = 0.02 and p < 0.001, respectively). A greater number of AN cases were observed in subjects with obesity compared with T1D (p < 0.001). Patients with AN were older than subjects without AN (p = 0.005), and they had higher body mass index (BMI) values, waist circumference (WC), fasting triglycerides and blood pressure (all p < 0.001). Thirty-five patients with AN exhibited IR with an association between AN presence and IR in patients with obesity (p < 0.001). In T1D, there was an association between AN and being overweight/obese (p = 0.02), independently of IR. AN is a dermatological condition associated with obesity. In T1D, the presence of AN was significantly associated with overweight status or obesity but not IR. The presence of AN in the absence of IR supports the interplay role between impaired insulin signaling, IR and excess weight in the pathogenic mechanism.

Cardiovascular Disease in Type 1 Diabetes Mellitus: Epidemiology and Management of Cardiovascular Risk

Cardiovascular disease (CVD) is a major cause of mortality in type 1 diabetes mellitus (T1DM) patients, and cardiovascular risk (CVR) remains high even in T1DM patients with good metabolic control. The underlying mechanisms remain poorly understood and known risk factors seem to operate differently in T1DM and type 2 diabetes mellitus (T2DM) patients. However, evidence of cardiovascular risk assessment and management in T1DM patients often is extrapolated from studies on T2DM patients or the general population. In this review, we examine the existing literature about the prevalence of clinical and subclinical CVD, as well as current knowledge about potential risk factors involved in the development and progression of atherosclerosis in T1DM patients. We also discuss current approaches to the stratification and therapeutic management of CVR in T1DM patients. Chronic hyperglycemia plays an important role, but it is likely that other potential factors are involved in increased atherosclerosis and CVD in T1DM patients. Evidence on the estimation of 10-year and lifetime risk of CVD, as well as the efficiency and age at which current cardiovascular medications should be initiated in young T1DM patients, is very limited and clearly insufficient to establish evidence-based therapeutic approaches to CVD management.

NAFLD in type 1 diabetes: overrated or underappreciated?

Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease in western countries, affecting 25-30% of the general population and up to 65% in those with obesity and/or type 2 diabetes. Accumulation of visceral adipose tissue and insulin resistance (IR) contributes to NAFLD. NAFLD is not an innocent entity as it not only may cause nonalcoholic steatohepatitis and cirrhosis but also contribute to cardiovascular morbidity and mortality. More and more people with type 1 diabetes (T1D) are becoming overweight and present with features of IR, but the prevalence and impact of NAFLD in this population are still unclear. The utility of noninvasive screening tools for NAFLD in T1D is being explored. Recent data indicate that based upon ultrasonographic criteria NAFLD is present in 27% (ranging between 19% and 31%) of adults with T1D. Magnetic resonance imaging data indicate a prevalence rate of 8.6% (ranging between 2.1% and 18.6%). There are, however, multiple factors affecting these data, ranging from study design and referral bias to discrepancies in between diagnostic modalities. Individuals with T1D have a 7-fold higher risk of cardiovascular disease (CVD) and cardiovascular mortality is the most prominent cause of death in T1D. Patients with T1D and NALFD are also more prone to develop CVD, but the independent contribution of NAFLD to cardiovascular events has to be determined in this population. Furthermore, limited data in T1D also point towards a 2 to 3 times higher risk for microvascular complications in those with NAFLD. In this article, we will discuss epidemiological and diagnostic challenges of NAFLD in T1D, explore the link between IR and NAFLD and chronic complications, and examine the independent contribution of NAFLD to the presence of macro-, and microvascular complications.

Insulin resistance is associated with preclinical carotid atherosclerosis in patients with type 1 diabetes

AIM

Although insulin resistance (IR) is a growing trait among type 1 diabetes (T1D) population, its relationship with atherosclerosis has been scarcely studied. We assessed the association between IR indexes and carotid atherosclerosis in T1D, a population at high cardiovascular disease (CVD) risk.

MATERIALS AND METHODS

We evaluated 191 participants with T1D and no prior CVD with at least one of the following criteria: ≥40 years old; diabetic nephropathy; or T1D duration ≥10 years harbouring ≥1 additional CVD risk factor. IR was assessed with the metabolic syndrome (MetS) harmonized definition proposed in 2009 and the estimated glucose disposal rate (eGDR), a T1D-specific IR surrogate marker (lower values indicating higher IR). Standardized carotid ultrasonography was performed, recording intima-media thickness (IMT), plaque presence and maximum height of plaque. Comparisons between patients according to their MetS status as well as concerning eGDR values were performed.

RESULTS

The participants' median age was 47.4 (41.1-53.3) years and diabetes duration 25.7 (21.6-32.5) years. Plaque prevalence was higher in patients with greater IR (49.1%, 29.1% and 20%, P = .001, for any plaque according to decreasing eGDR tertiles). Conversely, no statistically significant higher plaque prevalence was found in participants with MetS. In multivariate analyses (adjusted for general- and T1D-specific risk factors, and statin treatment), MetS was associated with neither IMT nor plaque. On the contrary, eGDR was independently related to ≥2 plaques (P = .018) and maximum plaque height (P < .01).

CONCLUSIONS

In T1D, IR assessed through eGDR but not by MetS definition was independently associated with plaque burden, a predictor of CVD.

Estimated insulin sensitivity in Type 1 diabetes adults using clinical and research biomarkers

AIMS

Insulin resistance in people with type 1 diabetes (T1D) is associated with increased risk of chronic complications and death. The gold standard to quantify insulin sensitivity, a euglycaemic hyperinsulinaemic clamp, is not applicable to clinical practice. We have employed clamp studies to develop a panel of formulae to estimate insulin sensitivity in adults with T1D for use in clinical practice and trials.

METHODS

Clamps were conducted in 28 adults with T1D, who were also characterised with 38 clinical and research biomarkers. Exhaustive search analysis was used to derive equations correlating with clamp-quantified glucose disposal rate (GDR), GDR/plasma insulin (M/I) and log₁₀M/I.

RESULTS

Measured insulin sensitivity correlated with BMI, WHR, HDL-C, adipokines and inflammation markers on univariate analysis. Exhaustive search analysis derived three formulae correlating with clamp-derived GDR and logM/I (p < 0.0001), accounting for ≈62% of their variability. A formula using gender, age, HDL-C, pulse pressure and WHR performed as well as those containing inflammation and adipokine measures.

CONCLUSIONS

The performance of formulae using routinely available parameters with/without research biomarkers in clinical studies and trials, particularly related to future complications, relevant lifestyle interventions, insulin delivery modes and insulin sensitisers is merited.

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

BACKGROUND

We sought to assess the potential of insulin resistance (IR) for estimating cardiovascular disease (CVD) risk in adults with type 1 diabetes (T1DM) according to the scores of the Steno Type 1 Risk Engine (ST1RE).

METHODS

A total of 179 adults with T1DM (50.8% men, age 41.2 ± 13.1 years, duration of T1DM 16 (12-23) years) without established CVD were evaluated. IR was assessed by the estimation of insulin sensitivity (eIS) using two validated prediction equations: the estimated insulin sensitivity developed from the Pittsburgh Epidemiology of Diabetes Complications Study (eIS-EDC) and the estimated insulin sensitivity developed from Coronary Artery Calcification in T1DM Study (eIS-CACTI) ST1RE was used to estimate 10-year CVD risk and to classify subjects into three groups according to their risk: low (<10%; n = 105), moderate (10-20%; n = 53), and high (≥20%; n = 21).

RESULTS

Both eIS-EDC and eIS-CACTI correlated negatively with ST1RE scores (eIS-EDC: r = -0.636, p < 0.001; eIS-CACTI: r = -0.291, p < 0.001). The C-statistic for predicting moderate/high risk and high risk was 0.816 (95% confidence interval (CI): 0.754-0.878) and 0.843 (95% CI: 0.772-0.913), respectively, for the eIS-EDC equation, and was 0.686 (95% CI: 0.609-0.763) and 0.646 (95% CI: 0.513-0.778), respectively, for the eIS-CACTI equation. The eIS-EDC equation had a significantly higher C-statistic both for moderate-/high-risk (p = 0.001) and high-risk (p = 0.007) subjects. Two cut-off points of eIS-EDC were identified for detecting moderate/high risk (8.52 mg·kg^-1·min^-1; sensitivity 74% and specificity 76%) and high risk (8.08 mg·kg^-1·min^-1; sensitivity 65% and specificity 95%) with potential applicability in clinical practice.

CONCLUSIONS

eIS negatively correlates with the score of CVD risk in the ST1RE. Two cut-off points of eIS are reported with potential utility in clinical practice for detecting adults with T1DM with the highest CVD risk.

Comparison of indirect markers of insulin resistance in adult patients with Double Diabetes

BACKGROUND

The presence of insulin resistance (IR) and metabolic syndrome (MS) in patients with type 1 diabetes (T1D) has been called "double diabetes". This entity increases the risk for development of micro and macrovascular complications and cardiovascular mortality. The gold standard for IR quantification is the hyperinsulinemic euglycemic clamp (HEC) but it is invasive, time-consuming and not available in the majority of the clinical settings. Because of this, some formulas for IR quantification have been proposed. We aimed to compare the utility of those methods for MS detection in patients with T1D.

METHODS

We conducted a cross-sectional study in 112 patients with T1D and determined the presence of MS using the Joint Statement Criteria. We calculated the estimated glucose disposal rate (eGDR), estimated insulin sensitivity index (eIS), natural logarithm of glucose disposal rate (lnGDR), triglyceride/high-density lipoprotein cholesterol ratio (TG/HDL-c), visceral adipose index (VAI) and waist-to-height ratio (WHtR), and compared among patients with and without MS using Student t-test or Mann-Whitney U test. Receiver Operating Characteristics curves for the different indexes were used to identify the best cut-off points for MS detection.

RESULTS

Thirty three percent of the patients were considered to have MS. The patients with MS had lower eGDR (5.49 [4.37-6.80] vs. 8.93 [8.03-9.94] mg/kg/min), eIS (2.89 [1.54-3.54] vs. 3.51 [2.68-4.68]) and lnGDR (1.69 ± 0.27 vs. 1.95 ± 0.21 mg/kg/min), and higher WHtR (0.55 ± 0.05 vs. 0.50 ± 0.05), VAI (3.4 [1.92-5.70] vs. 1.39 [0.97-1.92]) and TG/HDL-c (3.78 [2.63-5.73] vs. 1.77 [1.18-2.75]) in comparison with patients without MS. The cut-off points of TG-HDL-c > 2.0, eGDR < 7.32 mg/kg/min, lnGDR < 1.8 mg/kg/min, VAI > 1.84, WHtR > 0.52 and eIS < 2.92 had a sensitivity of 86, 85, 82, 77 and 70% respectively, for MS detection. The TG/HDL-c, lnGDR and eIS sensitivity changed depending on sex meanwhile eGDR, WHtR and VAI did not need adjust by sex.

CONCLUSION

Our data show that an eGDR < 7.32 mg/kg/min have the highest sensitivity and specificity to detect the presence of MS in patients with T1D.

Insulin Resistance in Type 1 Diabetes Mellitus and Its Association with Patient's Micro- and Macrovascular Complications, Sex Hormones, and Other Clinical Data

INTRODUCTION

The main objective of this research was to evaluate the association of insulin resistance (IR) with micro- and macrovascular complications, sex hormones, and other clinical data.

METHODS

Cross-sectional study of patients older than 18 years old with type 1 diabetes mellitus (T1DM) was performed. Participants filled in questionnaires about T1D, disease duration, smoking, glycemic control, chronic diabetes complications, and hypertension status. Data about chronic diabetic complications (neuropathy, retinopathy, and nephropathy) were collected from medical records. History of major cardiovascular events such as angina, myocardial infarction, and stroke were collected from medical records also. Laboratory tests including creatinine, cholesterol levels, testosterone (T), sex hormone-binding globulin (SHBG), estradiol levels, and albumin in 24-h urine sample were performed. IR was calculated using the following formula: estimated glucose disposal rate (eGDR) = 24.31 - [12.22 × waist-to-hip ratio (WHR)] - [3.29 ×  hypertension status (defined as 0 = no, 1 = yes)] - [0.57 × glycated hemoglobin (HbA1c)]. The data was considered statistically significant at p < 0.05.

RESULTS

A total of 200 people (mean age 39.9 ± 12.1 years) with T1D were included in the study. Patients with T1D were analyzed according to eGDR levels stratified by tertiles. The cutoff value of eGDR which reflects IR was less than 6.4 mg kg-1 min-1. When eGDR was less than 6.4 mg kg-1 min-1, diabetes microvascular complications occurred significantly more often (p < 0.001); the cutoff of eGDR for cardiovascular disease (CVD) events was less than 2.34 mg kg-1 min-1. Lower eGDR, longer diabetes duration, and lower HbA1c significantly increased CVD outcomes risk. eGDR was also significantly lower in smokers (7.3 ± 2.5 vs. non-smokers 8.2 ± 2.6, p = 0.011), the obese (lean 8.25 ± 2.47 vs. obese 5.36 ± 2.74, p < 0.000), older patients (less than 50 years 8.0 ± 2.5 vs. more than 50 years 6.2 ± 2.8, p = 0.001), men (men 6.4 ± 2.4 vs. women 8.7 ± 2.2, p < 0.001), patients with long-standing diabetes (< 10 years 7.3 ± 2.6 vs. > 10 years 8.7 ± 2.3, p < 0.001), and chronic diabetes complications (diabetic retinopathy, diabetic nephropathy, diabetic neuropathy, p < 0.001), and patients with CVD (with CVD 5.5 ± 2.4 vs. no CVD 8.0 ± 2.4, p < 0.001). Patients with T1D and a family history of T2D were not susceptible to weight gain during intensive insulin treatment. Metabolic syndrome (MS) phenotype prevalence, including and dyslipidemia rate, were higher in the obese group than in normal weight, but a clear difference was not seen (p = 0.07). Positive linear correlation between men's T and eGDR level was observed (r = 0.33, p = 0.04), i.e., men with higher testosterone level had better insulin sensitivity. Other parameters (like T in women, estrogens, SHBG) did not show any significant association with eGDR.

CONCLUSIONS

According to stratified eGDR, IR was found for one-third of the current T1D population. Insulin resistant patients more frequently had microvascular complications and CVD events. Lower eGDR, longer diabetes duration, and lower HbA1c significantly increased CVD outcomes risk. IR was related to smoking, obesity, gender, age, and diabetes duration. Moreover, men's testosterone had a positive correlation with IR in T1D. Finally, patients with T1D and a positive family history of T2D were not susceptible to weight gain, while MS metabolic phenotype prevalence tended to be higher in obese than in lean patients with T1D, with a tendency to significant difference.

Bariatric Surgery and Type 1 Diabetes: Unanswered Questions

In recent decades there has been an alarming increase in the prevalence of obesity in patients with type 1 diabetes leading to the development of insulin resistance and cardiometabolic complications, with mechanisms poorly clarified. While bariatric surgery has long been considered an effective treatment option for patients with type 2 diabetes, the evidence regarding its benefits on weight loss and the prevention of complications in T1DM patients is scarce, with controversial outcomes. Bariatric surgery has been associated with a significant reduction in daily insulin requirement, along with a considerable reduction in body mass index, results which were sustained in the long term. Furthermore, studies suggest that bariatric surgery in type 1 diabetes results in the improvement of comorbidities related to obesity including hypertension and dyslipidemia. However, regarding glycemic control, the reduction of mean glycosylated hemoglobin was modest or statistically insignificant in most studies. The reasons for these results are yet to be elucidated; possible explanations include preservation of beta cell mass and increased residual function post-surgery, improvement in insulin action, altered GLP-1 function, timing of surgery, and association with residual islet cell mass. A number of concerns regarding safety issues have arisen due to the reporting of peri-operative and post-operative adverse events. The most significant complications are metabolic and include diabetic ketoacidosis, severe hypoglycemia and glucose fluctuations. Further prospective clinical studies are required to provide evidence for the effect of bariatric surgery on T1DM patients. The results may offer a better knowledge for the selection of people living with diabetes who will benefit more from a metabolic surgery.

Obesity in Type 1 Diabetes: Pathophysiology, Clinical Impact, and Mechanisms

There has been an alarming increase in the prevalence of obesity in people with type 1 diabetes in recent years. Although obesity has long been recognized as a major risk factor for the development of type 2 diabetes and a catalyst for complications, much less is known about the role of obesity in the initiation and pathogenesis of type 1 diabetes. Emerging evidence suggests that obesity contributes to insulin resistance, dyslipidemia, and cardiometabolic complications in type 1 diabetes. Unique therapeutic strategies may be required to address these comorbidities within the context of intensive insulin therapy, which promotes weight gain. There is an urgent need for clinical guidelines for the prevention and management of obesity in type 1 diabetes. The development of these recommendations will require a transdisciplinary research strategy addressing metabolism, molecular mechanisms, lifestyle, neuropsychology, and novel therapeutics. In this review, the prevalence, clinical impact, energy balance physiology, and potential mechanisms of obesity in type 1 diabetes are described, with a special focus on the substantial gaps in knowledge in this field. Our goal is to provide a framework for the evidence base needed to develop type 1 diabetes-specific weight management recommendations that account for the competing outcomes of glycemic control and weight management.

Association between habitual coffee consumption and metabolic syndrome in type 1 diabetes

BACKGROUND AND AIMS

In the general population, habitual coffee consumption is inversely associated with the metabolic syndrome, a syndrome that is rather common also in patients with type 1 diabetes. However, whether coffee intake is beneficially related to the metabolic syndrome also in type 1 diabetes, is not known. We, therefore, studied the potential association between coffee consumption and the metabolic syndrome in a large population of individuals with type 1 diabetes. Furthermore, we investigated whether coffee consumption is associated with insulin resistance (estimated glucose disposal rate, eGDR), kidney function (estimated glomerular filtration rate, eGFR), and low-grade chronic inflammation (high-sensitivity C-reactive protein, hsCRP).

METHODS AND RESULTS

Data from 1040 participants in the Finnish Diabetic Nephropathy Study were included in these cross-sectional analyses. Metabolic syndrome was assumed if at least 3 of the following cardiovascular risk factors were present: central obesity, high blood pressure, low HDL-cholesterol concentration, high triglyceride concentration, and hyperglycaemia. Subjects were categorized based on self-reported daily coffee intake: non-consumers (<1 cup/d), low (≥1 cups/d < 3), moderate (≥3 cups/d < 5), and high coffee consumption (≥5 cups/d). In multivariable logistic regression analysis, moderate and high coffee consumption was associated with increased odds of the metabolic syndrome. Moreover, any level of coffee consumption was associated with increased risk of the blood pressure-component. An increasing trend was observed in the eGFR with increasing coffee consumption.

CONCLUSIONS

In type 1 diabetes, high coffee intake is associated with the metabolic syndrome, and especially its blood pressure-component.

Soluble LRP1 is an independent biomarker of epicardial fat volume in patients with type 1 diabetes mellitus

Epicardial adipose tissue (EAT) is a metabolically active tissue intimately associated with metabolic syndrome and cardiovascular disease. Quantification of EAT volume is an interesting clinical tool for the evaluation of cardiometabolic disease. Nevertheless, current methodology presents serious disadvantages. The soluble form of the receptor LRP1 (sLRP1) is a non-invasive biomarker of EAT in general population. Here, we analysed the potential of circulating sLRP1 as biomarker of EAT volume in patients with type 1 diabetes mellitus (T1DM). The study included a well-characterized cohort of T1DM patients without clinical cardiovascular disease (N = 73). EAT volume was assessed by a multidetector computed tomography (MDCT). sLRP1 and panel of inflammatory and endocrine mediators were measured using commercially available ELISA. EAT volume showed a direct association with circulating sLRP1 (β = 0.398, P = 0.001) in univariate linear regression analysis. This association was higher than that observed for other potential inflammatory and endocrine biomarkers. Using multivariate linear regression analyses, we demonstrated that the association between EAT volume and circulating sLRP1 was independent of potential confounding factors, including age, sex, body mass index, CRP, HbA1c and LDL-C (P < 0.050 for all multivariate linear regression models). In conclusion, sLRP1 is an independent biomarker of EAT in T1DM patients.

Smoke exposure and cardio-metabolic profile in youth with type 1 diabetes

BACKGROUND

To evaluate the relationship between smoking and metabolic parameters in patients affected by type 1 diabetes (T1D).

PATIENTS AND METHODS

We enrolled 104 children and young adults (50 females and 54 males) with T1D (aged 16.4 ± 8.6 years). The subjects were divided into three groups according to their smoking habits: no smoking (NS), passive smoking (PS), active smoking (AS). The physical examination of the participants included nutritional status assessment by anthropometry and pubertal stage according to Marshall and Tanner as well as blood pressure measurement. In all patients, metabolic blood assays including fasting blood glucose, insulin, total cholesterol, high-density lipoprotein cholesterol, and triglycerides were measured. Insulin resistance was determined by glucose disposal rate (eGDR). Physical activity was also recorded.

RESULTS

Significant differences in biochemical and functional parameters among the three groups were demonstrated, in particular for systolic (p = 0.002) and diastolic pressure (p = 0.02) and eGDR (p = 0.039). No differences in daily insulin dose (p = 0.75) and glycated hemoglobin (p = 0.39) were observed. AS group had significantly higher blood pressure (p < 0.05) and lower eGDR (p ≤ 0.001) compared to NS and PS. Significant difference was also detected between PS and NS in systolic and diastolic (p = 0.02) pressure and eGDR (p = 0.01). In a multivariable model adjusted for age, gender, BMI and physical activity, smoking habits did not maintain any independent association with metabolic parameters.

CONCLUSION

This is the first study in a Mediterranean population, looking at tobacco smoke and cardio-metabolic factors in youth with T1D. The relationship between smoking and unfavorable metabolic profile was demonstrated. On the basis of these findings, smoking tobacco should be considered an important modifiable risk factor for young patients with diabetes mellitus, highlighting the need for intensified smoking prevention and cessation programs.

Insulin resistance correlates with maculopathy and severity of retinopathy in young adults with Type 1 Diabetes Mellitus

AIMS

To assess the relationship between insulin resistance (IR), retinopathy and maculopathy in young adults with Type 1 diabetes mellitus.

METHODS

A cross-sectional study at a regional Australian tertiary hospital. Retinal pathology, assessed by colour fundus photography, was correlated with two surrogate measures of IR: estimated Glucose Disposal Rate (eGDR) and Insulin Sensitivity Score (ISS), where lower scores reflect greater IR.

RESULTS

107 patients were recruited, with mean age 24.7years, 53% male, and mean duration of disease 10.8years. Mean eGDR scores (5.6vs 8.0 p<0.001) and ISS (4.7vs 7.9, p<0.001) were lower in subjects having at least moderate non-proliferative diabetic retinopathy (NPDR; relative to nil/mild-NPDR). Similarly, mean eGDR (4.2vs 6.2, p=0.001) and ISS (3.8vs 6.1, p=0.003) were lower in patients with maculopathy. Multivariate logistic regression modelling was used to control for confounding. For retinopathy severity, a unit increase in eGDR or ISS (representing lower IR) was associated with a 50% decrease in odds of moderate-NPDR or worse (eGDR OR 0.5, 95%CI 0.32-0.77, p=0.002; ISS OR 0.49, 95%CI 0.29-0.84, p=0.01). A unit increase in eGDR or ISS was associated with a 46-56% decrease in odds of maculopathy (eGDR OR 0.54, 95%CI 0.37-0.81, p=0.003; ISS OR 0.44, 95%CI 0.22-0.88, p=0.02).

CONCLUSIONS

IR correlates with more severe retinopathy in young adults with Type 1DM. This is the first description of a correlation between IR and maculopathy in Type 1DM, warranting further evaluation. Prospective studies examining whether reducing IR can improve microvascular complications are required.

Insulin Resistance and Chronic Kidney Disease in Patients with Type 1 Diabetes Mellitus

Background and Aims. Diabetes mellitus (DM) is a chronic disease which can evolve towards devastating micro- and macrovascular complications. DM is the most frequent cause of chronic kidney disease (CKD). Insulin resistance plays an important role in the natural history of type 1 diabetes. The purpose of the study was to determine the prevalence of CKD in T1DM and the correlation with insulin resistance (IR) in patients with CKD. Materials and Methods. The study was conducted over a period of three years (2010-2013) and included patients with DM registered in the Clinical Centre of Diabetes, Nutrition and Metabolic Diseases of Dolj county. The study design was an epidemiological, transversal, noninterventional type. Finally, the study group included 200 subjects with type 1 DM. Insulin resistance (IR) was estimated by eGDR. The subjects with eGDR ≤ 7.5 mg/kg/min were considered with insulin resistance. Results. CKD was found in 44% of the patients. Analyzing statistically the presence of CKD, we found highly significant differences between patients with CKD and those without CKD regarding age and sex of the patients, the duration of diabetes, glycosylated hemoglobin (HbA1c), the estimated glucose disposal rate (eGDR), and the presence of hypertension, dyslipidemia, and hyperuricaemia. In patients with CKD, age and diabetes duration are significantly higher than in those who do not have this complication. CKD is more frequent in males than in females (50.9% men versus 34.5% women, p = 0.022). From the elements of metabolic syndrome, high blood pressure, hyperuricemia, and dyslipidemia are significantly increased in diabetic patients with CKD. eGDR value (expressed as mg·kg^-1·min^-1) is lower in patients with CKD than in those without CKD (15.92 versus 6.42, p < 0.001) indicating the fact that patients with CKD show higher insulin resistance than those without CKD. Conclusions. This study has shown that insulin resistance is associated with an increased risk of CKD, but, due to the cross-sectional design, the causal relationship cannot be assessed. However, the existence of this causality and the treatment benefit of insulin resistance in type 1 diabetes are issues for further discussion.

Predictors of cardiovascular risk among patients with type 1 diabetes: A critical analysis of the metabolic syndrome and its components

Patients with type 1 diabetes (T1D) are at increased risk for cardiovascular diseases. The metabolic syndrome (MetS), a complex disorder defined by a cluster of interconnected factors including abdominal obesity, hypertension, dyslipidaemia and insulin resistance, has been proposed to identify patients with T1D at high cardiovascular risk. The MetS has been identified in 8-45% of patients with T1D, depending on the definition and cohort studied. However, clinicians and researchers face several issues with the criteria for MetS in patients with T1D, therefore questioning its value in routine care. For example, three criteria can lead to overestimation of MetS prevalence; the impaired fasting glucose criterion is irrelevant as it is automatically fulfilled; and the widespread use of antihypertensive and lipid-lowering medications for cardiac and renal preventative purposes can contribute to overestimations of the prevalence of raised blood pressure and elevated triglycerides. In cross-sectional studies, the MetS has been associated mostly with an increased risk of microvascular complications whereas, in prospective cohorts, the predictive value of MetS for micro- and macrovascular outcomes has been inconsistent. While identifying diabetes patients at increased risk for cardiovascular complications and early mortality is crucial from a prevention standpoint, for patients with T1D, the current definition of MetS may not be the most suitable tool. The aims of the present report are to review the applicability and limitations of the MetS in patients with T1D, and to discuss alternative avenues to identify high-risk patients.

Testosterone undecanoate improves lipid profile in patients with type 1 diabetes and hypogonadotrophic hypogonadism

Testosterone deficiency (Td) has been associated with the metabolic syndrome. Few studies have evaluated this condition in type 1 diabetes (T1D). The primary aim of this study was to evaluate the effectiveness of testosterone undecanoate (TU) on insulin sensitivity, glycemic control, anthropometric parameters, blood pressure and lipid profile in patients with Td and T1D. We performed a randomized placebo-controlled multicenter study.

INCLUSION CRITERIA

a) age ≥ 18 years; b) autoimmune diabetes; c) Td (total testosterone <10 nmol/L or calculated free testosterone <225 pmol/L and low/normal LH; d) ability to sign informed consent; e) comply with the study protocol.

EXCLUSION CRITERIA

a) pituitary tumor, empty sella, hyperprolactinemia, panhypopituitarism or secondary hypogonadism; b) contraindications for treatment with testosterone undecanoate (TU); c) patients who did not agree to sign their informed consent. Six patients were randomly assigned to testosterone undecanoate (TU) treatment and 7 to placebo with the following dosing schedule: baseline, 6 weeks and 16 weeks. Blood test, anthropometric parameters, blood pressure and insulin sensitivity were determined at baseline, 6, 16 and 22 weeks. No differences were observed regarding insulin sensitivity, HbA_1c or basal glucose, anthropometric parameters or blood pressure. At 22 weeks, the decrease in total cholesterol was 37.4 ± 27.5 mg/dL in the TU group compared with an increase of 13.2 ± 17.8 mg/dL in the placebo group (P<0.005), and LDL cholesterol concentration decreased 30.2 ± 22.1 mg/dL, compared with an increase of 10.5 ± 13.4 mg/dL in the placebo group (P=0.004). We conclude that treatment with TU in patients with T1D and Td improves lipid profile, with no effects on metabolic control or anthropometric parameters.

Impact of Chronic Sleep Disturbance for People Living With T1 Diabetes

AIM

The aim was to explore personal experiences and to determine the impact of impaired sleep on well-being and diabetes-related activities/decision making among a cohort of people living with T1D.

METHOD

Adults with T1D over the age of 18 and parents/carers of children with T1D were invited to complete an online questionnaire about their quality and quantity of sleep. Questions included impact of sleep on diabetes-related decision making, effective calculation of bolus doses, important aspects of psychosocial functioning, and frequency of waking. Diasend download data were used to objectively determine frequency of nocturnal blood glucose testing in children.

RESULTS

A total of 258 parent/carer participants (n = 221 female, 85.6%) and 192 adults with T1D (n = 145, 75.5% female, age range 19 to 89 years) took part. In all, 239 parents/carers and 160 adults believed waking in the night has an impact on their usual daily functioning. Of these, 236 parents/carers and 151 (64%) adults reported the impact as negative. Chronic sleep interruption was associated with detrimental impact on mood, work, family relationships, ability to exercise regularly, ability to eat healthily, and happiness.

CONCLUSION

Chronic sleep interruption is highly prevalent in adults with T1D and parents/carers of children with T1D with negative effects on daily functioning and well-being. Appropriate interventions are required to alleviate this burden of T1D, address modifiable risk factors for nocturnal hypoglycemia, and reduce the (perceived) need for nocturnal waking.