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.

Adherence to an energy-restricted Mediterranean diet is associated with the presence and burden of carotid atherosclerosis in people with type 1 diabetes.

AIMS: People with type 1 diabetes (T1D) have an increased risk of cardiovascular disease (CVD). The Mediterranean diet is associated with reduced CVD; however, the evidence in T1D is scarce. We aimed to analyse the relationships between adherence to the energy-restricted Mediterranean diet (erMEDd) and carotid atherosclerosis. MATERIALS AND METHODS: We included children with T1D without CVD, with ≥1 of the following: age ≥40 years, diabetic kidney disease, or ≥10 years of disease duration with another risk factor. Plaque presence (intima-media thickness ≥1.5 mm) was determined by ultrasonography. The PREDIMED-Plus 17-item questionnaire (PP-17) was used to assess adherence to the erMEDd. RESULTS: Four hundred one individuals were included (48% males, age 48.3 ± 11 years, diabetes duration 26.8 ± 11.4 years). Those harbouring plaques (42%) showed lower adherence to the erMEDd (PP-17: 8.9 ± 2.3 of a maximum of 17 vs. 9.8 ± 2.5, p < 0.001). Greater adherence to the erMEDd was correlated with an overall better metabolic profile. After adjusting for multiple confounders, adherence to the erMEDd was independently associated with carotid atherosclerosis (OR 0.86 [0.77-0.95] for plaque presence and OR 0.85 [0.75-0.97] for ≥2 plaques). The consumption of fruit and nuts and preference of white over red meat was higher in individuals without atherosclerosis (p < 0.05). Fruit and nut consumption was associated with lower plaque prevalence in the fully adjusted models (OR 0.38 [0.19-0.73] and 0.51 [0.29-0.93]). CONCLUSIONS: Greater adherence to the erMEDd is associated with less carotid atherosclerosis in children with T1D at high risk of CVD. Strategies to improve and implement healthy dietary patterns in this population should be encouraged.

Neutrophil-to-lymphocyte ratio is independently associated with carotid atherosclerosis burden in individuals with type 1 diabetes.

BACKGROUND AND AIMS: Recent studies have identified a relationship between innate versus. Adaptative immunity and cardiovascular disease (CVD) in the general population, but information on type 1 diabetes (T1D) is lacking. We aimed to study the relationship between inflammatory biomarkers and preclinical atherosclerosis in this population. METHODS AND RESULTS: Cross-sectional study in T1D individuals without CVD and with ≥1 of the following: ≥40 years, diabetic kidney disease, or ≥10 years of diabetes duration with classical CVD risk factors. Carotid plaques were evaluated by ultrasonography. C-reactive protein, total leukocyte count, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio and systemic immune-inflammation index were assessed as inflammatory markers. Multivariate-adjusted models including age, sex, and other CVD risk factors were constructed to test their independent associations with atherosclerosis burden. We included 602 subjects (52.8% men, 48.7 ± 10.2 years old and 27.0 ± 10.5 years of diabetes duration). Carotid plaques were found in 41.2% of the individuals (12.8%, ≥3 plaques). The number of carotid plaques (none, 1-2, ≥3 plaques), was directly associated with the leukocyte count (6570 [5445-8050], 6640 [5450-8470] and 7310 [5715-8935] per mm3, respectively; p for trend = 0.021) and the NLR (1.63 [1.28-2.13], 1.78 [1.38-2.25] and 2.14 [1.58-2.92], respectively; p for trend <0.001), but only the NLR remained directly associated in fully-adjusted models (presence of plaques; OR 1.285 [1.040-1.587]; ≥3 plaques, OR 1.377 [1.036-1.829]). CONCLUSIONS: The NLR was independently and directly associated with carotid plaque burden in T1D individuals. Our data support the role of innate versus. Adaptative immunity in atherosclerosis also among the T1D population.

Advanced lipoprotein profile identifies atherosclerosis better than conventional lipids in type 1 diabetes at high cardiovascular risk.

BACKGROUND AND AIMS: People with type 1 diabetes (T1D) present lipoprotein disturbances that could contribute to their increased cardiovascular disease (CVD) risk. We evaluated the relationship between lipoprotein alterations and atherosclerosis in patients with T1D. METHODS AND RESULTS: Cross-sectional study in subjects with T1D, without previous CVD, but high-risk (≥40 years, nephropathy, or ≥10 years of evolution of diabetes with another risk factor). The presence of plaque (intima-media thickness ≥1.5 mm) in the different carotid segments was determined by ultrasound. The advanced lipoprotein profile was analysed by magnetic resonance imaging (1H NMR). We included 189 patients (42% women, 47.8 ± 10.7 years, duration of diabetes 27.3 ± 10.1 years, HbA1c 7.5% [7-8]). Those with carotid plaques (35%) were older, with longer diabetes duration, had a higher prevalence of hypertension, and showed lower and smaller LDL particles (LDL-P) and HDL particles (HDL-P), but higher VLDL particles (VLDL-P). Some LDL, HDL and VLDL-related parameters were associated with atherosclerosis in sex, age and statin use adjusted models (p < 0.05), but after adjusting for multiple confounders, including conventional lipid parameters, only HDL-P (OR 0.440 [0.204-0.951]; p = 0.037), medium HDL-P (OR 0.754 [0.590-0.963]; p = 0.024), HDL-P cholesterol content (OR 0.692 [0.495-0.968]; p = 0.032), 1H NMR LDL-P number/conventional LDL-cholesterol (OR 1.144 [1.026-1.275]; p = 0.015), and 1H NMR non-HDL particle number/conventional non-HDL-cholesterol ratios (OR 1.178 [1.019-1.361], p = 0.026) remained associated with atherosclerosis. CONCLUSIONS: In adults with T1D at high-risk, variables related to HDL, LDL and total atherogenic particle number are independently associated with preclinical atherosclerosis. Advanced lipoprotein profiling could be used to identify those at the highest risk of CVD.

A Machine Learning Approach to Minimize Nocturnal Hypoglycemic Events in Type 1 Diabetic Patients under Multiple Doses of Insulin.

Nocturnal hypoglycemia (NH) is one of the most challenging events for multiple dose insulin therapy (MDI) in people with type 1 diabetes (T1D). The goal of this study is to design a method to reduce the incidence of NH in people with T1D under MDI therapy, providing a decision-support system and improving confidence toward self-management of the disease considering the dataset used by Bertachi et al. Different machine learning (ML) algorithms, data sources, optimization metrics and mitigation measures to predict and avoid NH events have been studied. In addition, we have designed population and personalized models and studied the generalizability of the models and the influence of physical activity (PA) on them. Obtaining 30 g of rescue carbohydrates (CHO) is the optimal value for preventing NH, so it can be asserted that this is the value with which the time under 70 mg/dL decreases the most, with almost a 35% reduction, while increasing the time in the target range by 1.3%. This study supports the feasibility of using ML techniques to address the prediction of NH in patients with T1D under MDI therapy, using continuous glucose monitoring (CGM) and a PA tracker. The results obtained prove that BG predictions can not only be critical in achieving safer diabetes management, but also assist physicians and patients to make better and safer decisions regarding insulin therapy and their day-to-day lives.

Nuclear magnetic resonance lipoproteins are associated with carotid atherosclerosis in type 1 diabetes and pre-eclampsia.

AIMS: Persistence of lipoprotein abnormalities in type 1 diabetes (T1D) and/or pre-eclampsia could be associated with cardiovascular disease (CVD). We assessed differences in the advanced lipoprotein profiles according to the presence of both conditions and their differential association with atherosclerosis. MATERIAL AND METHODS: We recruited 112 women without CVD and last pregnancy ≥5 years previously, divided into four groups (n = 28 per group): (a) T1D and previous pre-eclampsia; (b) T1D without pre-eclampsia; (c) pre-eclampsia without T1D; and (d) controls (without T1D/pre-eclampsia). Groups were matched by several risk factors, and diabetes duration and retinopathy in T1D. Carotid intima-media thickness (IMT) and the presence of plaque (IMT ≥1.5 mm) were assessed by ultrasonography. The lipoprotein profile was evaluated by nuclear magnetic resonance (NMR) spectroscopy. RESULTS: The participants were 44.9 ± 7.8 years old. Carotid plaque presence was 20.5%, with a higher prevalence in T1D and/or pre-eclampsia vs controls (P < .05). High-density lipoprotein (HDL)-related variables differed among groups, mainly driven by an increase in T1D (P < .05), whereas triglyceride-related variables were increased in pre-eclampsia [medium very low-density lipoprotein (VLDL) particles and triglyceride enrichment in HDL and low-density lipoprotein (LDL)]. Overall, in multivariate-adjusted models, LDL-related variables were the most strongly associated with atherosclerosis (P < .05). In age- and statin-adjusted models, previous pre-eclampsia showed an independent association with triglyceride-related variables (plaque: medium-VLDL-particles, OR 1.550 [1.013-2.374]; HDL-cholesterol/HDL-triglycerides ratio, OR 0.411 [0.175-0.967]). Regarding T1D, HDL-parameters were also differentially associated (maximum-IMT: HDL-cholesterol/HDL-particles ratio, ß = -.258, P = .036). CONCLUSIONS: NMR lipoproteins were differentially and independently associated with atherosclerosis in T1D/pre-eclampsia. Further studies are needed to ascertain the role of NMR parameters as CVD biomarkers in this high-risk population.

Biomarkers of fatty acid intake are independently associated with preclinical atherosclerosis in individuals with type 1 diabetes.

PURPOSE: Information on the association between diet and cardiovascular disease (CVD) in type 1 diabetes (T1D) is scarce. We assessed the association between biomarkers of fatty acid (FA) intake and the presence of carotid plaques (a surrogate marker of future CVD events) in this high-risk population. METHODS: Cross-sectional study in 167 consecutive T1D patients without CVD and with at least one of the following: ≥ 40 years, diabetic nephropathy, or ≥ 10 years of T1D duration with another CVD risk factor. The FA profile of erythrocyte membranes was determined by gas chromatography, and the number of carotid plaques (intima-media thickness ≥ 1.5 mm) was assessed by ultrasonography. Regression models were constructed adjusting for classical (age, gender, blood pressure, smoking habit, LDL-cholesterol, body mass index and statins) and T1D-specific risk factors (diabetes duration, HbA1c and chronic complications). RESULTS: A total of 58.7% were men (mean age 48.3 ± 10.3 years, T1D duration 27.2 ± 10.1 years). Sixty-one patients (36.5%) showed carotid plaque. Linoleic acid decreased and all-C18:1trans increased with the number of carotid plaques (none, 1-2, ≥ 3 plaques; p for trend < 0.05). In multivariate regression models, linoleic acid remained inversely associated with the presence of plaque [1% increase of total FAs; OR 0.71 (0.53-0.95), p = 0.021] and ≥ 2 plaques [OR 0.70 (0.51-0.98), p = 0.039]; whereas, all-C18:1trans was positively associated with ≥ 3 plaques (0.1% increase of total FAs; OR 1.51 [1.05-2.16], p = 0.026). CONCLUSIONS: Erythrocyte FA composition, as a biomarker of FA intake, was independently associated with preclinical atherosclerosis in T1DM. Our data support the potential role of an unfavorable pattern of fat intake and CVD risk in this population.

Novel glycoproteins identify preclinical atherosclerosis among women with previous preeclampsia regardless of type 1 diabetes status.

BACKGROUND AND AIMS: Information regarding inflammation and cardiovascular disease (CVD) risk in type 1 diabetes (T1D) or preeclampsia (PE) is scarce. We assessed differences in inflammation markers according to the presence of both conditions and their association with atherosclerosis. METHODS AND RESULTS: We recruited 112 women without CVD and last pregnancy ≥5 years previously (n = 28 per group): a)T1D and PE; b)T1D without PE; c)PE without T1D; and d)Controls (without T1D or PE). Groups were matched by several CVD risk factors, and diabetes duration and retinopathy in T1D. Carotid intima-media thickness (IMT) and plaque presence (IMT ≥1.5 mm) were assessed by ultrasonography. Inflammatory markers included classical variables (leucocytes and high-sensitivity C-reactive protein [hsCRP]) and glycoproteins by nuclear magnetic resonance (1H-NMR) spectroscopy (GlycA, GlycB, GlycF and the height/width [H/W] ratios of GlycA and GlycB). The age of the participants was 44.9 ± 7.8 years, and 20.5% harbored plaque. There were no differences in inflammatory markers among the four study groups. Overall, in multivariate-adjusted models, all 1H-NMR-glycoproteins (except GlycB) were positively associated with IMT measures (IMT of bulb and maximum-IMT of any carotid segment; p < 0.05). After dividing the sample according to PE status, previous findings remained largely unchanged. Furthermore, GlycF was independently associated with carotid plaque only in PE group (OR 5.08 [1.03-25.01] per 0.1 log-increments, p = 0.046). Neither leucocytes nor hsCRP were related to atherosclerosis. Regarding T1D status, non-uniform results were observed. CONCLUSIONS: High 1H-NMR-glycoprotein concentrations have a negative impact on carotid atherosclerosis among women with preeclampsia, regardless of T1D status.

Quantification of glycoproteins by nuclear magnetic resonance associated with preclinical carotid atherosclerosis in patients with type 1 diabetes.

BACKGROUND AND AIMS: Glycoproteins play a key role in inflammatory and cardiometabolic processes. Their implication in atherosclerosis in type 1 diabetes (T1D) is unknown. We assessed the relationships between classic inflammatory markers, glycoproteins measured by nuclear magnetic resonance (1H-NMR), and preclinical atherosclerosis in these patients. METHODS AND RESULTS: We selected patients with T1D, without cardiovascular disease (CVD), with: age ≥40 years, nephropathy (micro/macroalbuminuria), or ≥10 years of evolution with another risk factor. The presence of plaque (intima-media thickness >1.5 mm) was determined by ultrasonography. Concentrations of high-sensitive C-reactive protein (hsCRP), circulating leukocytes (classical inflammation markers) and 1H-NMR-glycoproteins (GlycA, GlycB, GlycF, and the height/width [H/W] ratios of GlycA and GlycB) were determined. We included 189 patients (58% male, age 47.0 [40.7-55.2] years). Thirty-five percent presented plaques (22%, ≥2 plaques). There was no association between hsCRP or leukocytes and atherosclerosis. However, in age- and sex-adjusted models, GlycA, GlycF, and the H/W ratios of GlycA and GlycB gradually increased with the number of plaques (0, 1, ≥2 plaques) only in patients without statins (p < 0.05), with no association in patients receiving this drug (p for interaction <0.05; in ≥2 plaques). Finally, in models adjusted for other classical and T1D-specific risk factors, GlycA and GlycB H/W ratios remained associated with carotid plaque (OR 1.39 [1.12-1.90] and OR 6.89 [1.85-25.62], respectively). CONCLUSION: In T1D individuals without lipid-lowering treatment, 1H-NMR-glycoproteins were independently associated with the presence and amount of carotid atherosclerosis, unlike other classical inflammatory markers. Further studies are needed to ascertain their utility as CVD biomarkers.

Probabilistic Model of Transition between Categories of Glucose Profiles in Patients with Type 1 Diabetes Using a Compositional Data Analysis Approach.

The time spent in glucose ranges is a common metric in type 1 diabetes (T1D). As the time in one day is finite and limited, Compositional Data (CoDa) analysis is appropriate to deal with times spent in different glucose ranges in one day. This work proposes a CoDa approach applied to glucose profiles obtained from six T1D patients using continuous glucose monitor (CGM). Glucose profiles of 24-h and 6-h duration were categorized according to the relative interpretation of time spent in different glucose ranges, with the objective of presenting a probabilistic model of prediction of category of the next 6-h period based on the category of the previous 24-h period. A discriminant model for determining the category of the 24-h periods was obtained, achieving an average above 94% of correct classification. A probabilistic model of transition between the category of the past 24-h of glucose to the category of the future 6-h period was obtained. Results show that the approach based on CoDa is suitable for the categorization of glucose profiles giving rise to a new analysis tool. This tool could be very helpful for patients, to anticipate the occurrence of potential adverse events or undesirable variability and for physicians to assess patients' outcomes and then tailor their therapies.

Advanced lipoprotein profile disturbances in type 1 diabetes mellitus: a focus on LDL particles.

BACKGROUND: Lipoprotein disturbances have been associated with increased cardiovascular disease (CVD) risk in type 1 diabetes mellitus (T1DM). We assessed the advanced lipoprotein profile in T1DM individuals, and analysed differences with non-diabetic counterparts. METHODS: This cross-sectional study involved 508 adults with T1DM and 347 controls, recruited from institutions in a Mediterranean region of Spain. Conventional and advanced (assessed by nuclear magnetic resonance [NMR] spectroscopy) lipoprotein profiles were analysed. Crude and adjusted (by age, sex, statin use, body mass index and leukocyte count) comparisons were performed. RESULTS: The median (interquartile range) age of the study participants was 45 (38-53) years, 48.2% were men. In the T1DM group, the median diabetes duration was 23 (16-31) years, and 8.1% and 40.2% of individuals had nephropathy and retinopathy, respectively. The proportion of participants with hypertension (29.5 vs. 9.2%), and statin use (45.7% vs. 8.1%) was higher in the T1DM vs. controls (p < 0.001). The T1DM group had a better conventional (all parameters, p < 0.001) and NMR-lipid profile than the control group. Thus, T1DM individuals showed lower concentrations of atherogenic lipoproteins (VLDL-particles and LDL-particles) and higher concentrations of anti-atherogenic lipoproteins (HDL-particles) vs. controls, even after adjusting for several confounders (p < 0.001 for all). While non-diabetic women had a more favourable lipid profile than non-diabetic men, women with T1DM had a similar concentration of LDL-particles compared to men with T1DM (1231 [1125-1383] vs. 1257 [1128-1383] nmol/L, p = 0.849), and a similar concentration of small-LDL-particles to non-diabetic women (672.8 [614.2-733.9] vs. 671.2 [593.5-761.4] nmol/L, respectively; p = 0.790). Finally, T1DM individuals showed higher discrepancies between NMR-LDL-particles and conventional LDL-cholesterol than non-diabetic subjects (prevalence of LDL-cholesterol < 100 mg/dL & LDL-particles > 1000 nmol/L: 38 vs. 21.2%; p < 0.001). All these differences were largely unchanged in participants without lipid-lowering drugs (T1DM, n = 275; controls, n = 317). CONCLUSIONS: Overall, T1DM participants showed a more favourable conventional and NMR-lipid profile than controls. However, the NMR-assessment identified several lipoprotein derangements in LDL-particles among the T1DM population (higher discrepancies in NMR-LDL-particles vs. conventional LDL-cholesterol; a worse profile in T1DM women) that were overlooked in the conventional analysis. Further studies are needed to elucidate their role in the development of CVD in this population.

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.

Prediction of Nocturnal Hypoglycemia in Adults with Type 1 Diabetes under Multiple Daily Injections Using Continuous Glucose Monitoring and Physical Activity Monitor.

(1) Background: nocturnal hypoglycemia (NH) is one of the most challenging side effects of multiple doses of insulin (MDI) therapy in type 1 diabetes (T1D). This work aimed to investigate the feasibility of a machine-learning-based prediction model to anticipate NH in T1D patients on MDI. (2) Methods: ten T1D adults were studied during 12 weeks. Information regarding T1D management, continuous glucose monitoring (CGM), and from a physical activity tracker were obtained under free-living conditions at home. Supervised machine-learning algorithms were applied to the data, and prediction models were created to forecast the occurrence of NH. Individualized prediction models were generated using multilayer perceptron (MLP) and a support vector machine (SVM). (3) Results: population outcomes indicated that more than 70% of the NH may be avoided with the proposed methodology. The predictions performed by the SVM achieved the best population outcomes, with a sensitivity and specificity of 78.75% and 82.15%, respectively. (4) Conclusions: our study supports the feasibility of using ML techniques to address the prediction of nocturnal hypoglycemia in the daily life of patients with T1D on MDI, using CGM and a physical activity tracker.

Impaired awareness of hypoglycaemia: A new risk factor for adverse pregnancy outcomes in type 1 diabetes.

AIM: The aim of this study is to evaluate the impact of impaired awareness of hypoglycaemia (IAH) on metabolic control and pregnancy outcomes in women with type 1 diabetes. MATERIAL AND METHODS: This was a single-centre prospective cohort study of singleton pregnant women with type 1 diabetes. IAH was assessed at the first antenatal visit using Clarke's test (score ≥ 3). Data on metabolic control, hypoglycaemic events, and the lipid profile were collected from prior to pregnancy and in each trimester of gestation. Pregnancy outcomes were also recorded. RESULTS: A total of 77 patients with type 1 diabetes were included; 24 (31.2%) were classified as having IAH. Compared with the normal awareness of hypoglycaemia (NAH) group, the IAH group did not show differences in HbA1c , weight gain, insulin doses, or severe and nonsevere hypoglycaemia events throughout pregnancy. IAH was associated with higher triglyceride concentrations in the second trimester (IAH: 154.8 ± 61.1 mg/dL, NAH: 128.6 ± 31.2 mg/dL, P = .034) and an increased risk of neonatal respiratory distress (odds ratio [OR] 11.24; 95% CI, 1.01-124.9, P = .041) in adjusted models. Increased risk of pre-eclampsia was related to higher second trimester triglyceride concentrations (OR 1.028; 95% CI, 1.004-1.053, P = .023) adjusted for confounders. CONCLUSIONS: The IAH was associated with increased risk of neonatal respiratory distress and pre-eclampsia, despite showing no differences in metabolic control. Hypoglycaemia awareness in the first antenatal visit should be assessed to identify the subgroup of pregnant women with increased risk of complications.

Enhanced Accuracy of Continuous Glucose Monitoring during Exercise through Physical Activity Tracking Integration.

Current Continuous Glucose Monitors (CGM) exhibit increased estimation error during periods of aerobic physical activity. The use of readily-available exercise monitoring devices opens new possibilities for accuracy enhancement during these periods. The viability of an array of physical activity signals provided by three different wearable devices was considered. Linear regression models were used in this work to evaluate the correction capabilities of each of the wearable signals and propose a model for CGM correction during exercise. A simple two-input model can reduce CGM error during physical activity (17.46% vs. 13.8%, p < 0.005) to the magnitude of the baseline error level (13.61%). The CGM error is not worsened in periods without physical activity. The signals identified as optimal inputs for the model are "Mets" (Metabolic Equivalent of Tasks) from the Fitbit Charge HR device, which is a normalized measurement of energy expenditure, and the skin temperature reading provided by the Microsoft Band 2 device. A simpler one-input model using only "Mets" is also viable for a more immediate implementation of this correction into market devices.

Detailed description of a prepregnancy care program and its impact on maternal glucose control, weight gain, and dropouts.

BACKGROUND: The aim of this study was to analyze the clinical and metabolic changes observed during a prepregnancy care (PPC) program. METHODS: We performed a retrospective, observational, cohort study of 104 women with type 1 diabetes initiating a PPC program from 2011 to 2014. The outcomes measured were changes in HbA1c levels, weight and hypoglycemic events during PPC. Risk factors associated with severe hypoglycemia events, achieving the HbA1c target and dropouts were evaluated. RESULTS: HbA1c decreased from 7.2 ± 0.8% (55.3 ± 8.8 mmol/mol) to 6.7 ± 0.9% (49.8 ± 10.3 mmol/mol) (P < .001) within a median of 14.2 months (interquartile interval 5.4-23.2); 71.2% obtained HbA1c  < 7% (53 mmol/mol). HbA1c at the end of PPC was associated with baseline HbA1c (ß = .318, P = .001) and the number of previous pregnancies (ß = .224, P = .038), PPC was accompanied by 1.4 ± 4.0 kg weight gain (P = .003) without changes in severe hypoglycemic events. The risk factors for severe hypoglycemia were severe hypoglycemic events during the 2 years before (odds ratio [OR] 11.99, confidence interval 95% 1.89-75.95) and PPC duration (OR 1.09, 1.03-1.16). A total of 33 patients (31.7%) dropped out from PPC during follow-up, with dropout being associated with age (OR 1.17, 1.04-1.36) and PPC duration (OR 1.06, 1.02-1.11). CONCLUSIONS: Our PPC program was associated with an improvement in glycemic control without a significant increase in severe hypoglycemic events, although with some weight gain. A considerable number of patients dropped out during follow-up, this being related to older age and a longer duration of the program. This information could be of help to design new and more effective PPC approaches. Copyright © 2016 John Wiley & Sons, Ltd.

Evaluation of Cardiovascular Risk in People with Type 1 Diabetes: A Comprehensive and Specific Proposed Practical Approach.

People living with type 1 diabetes (T1D) have an increased risk of cardiovascular disease (CVD), and it is the leading cause of morbidity and mortality in this population. CVD risk increases with each uncontrolled risk factor, even in individuals with good glycaemic control. Recommendations for assessing CVD risk in the T1D population are extended from those for type 2 diabetes (T2D) even though the physiopathology and underlying mechanisms of atherosclerosis in T1D are poorly understood and differ from those in T2D. Unlike the assessment of microvascular complications, which is well established in T1D, this is far from being the case for the comorbidities and risk associated with CVD. Aside from classical cardiovascular comorbidities, carotid ultrasound can be useful to stratify CVD risk. The utilization of specific risk scales such as the Steno Type 1 Risk Engine can help to more accurately classify cardiovascular risk in these individuals. The cornerstones of the management of cardiovascular risk in T1D are the promotion of the Mediterranean diet, tight glycaemic control (glycated haemoglobin (HbA1c) < 7%), blood pressure < 130/80 mmHg in most patients, and low-density lipoprotein (LDL) cholesterol < 100 mg/dL in moderate-risk individuals, < 70 mg/dL in high-risk individuals, and < 55 mg/dL in very high-risk individuals. Conventional medical follow-up of patients with T1D should be individualized (approximately 2-3 visits per year), and a carotid ultrasound evaluation is recommended every 5 years in the absence of significant preclinical atherosclerosis or more often in those with severe preclinical atherosclerosis. Antithrombotic therapy is recommended in those receiving secondary prevention, those with stenosis > 50% in any arterial bed, and those with an impaired ankle-brachial index. This document is a proposal of a practical approach for the evaluation, classification, and management of CVD risk in individuals living with T1D.

Impact of an advanced hybrid closed-loop system on glycemic control throughout the menstrual cycle in women with type 1 diabetes prone to hypoglycemia.

This study aimed to evaluate the impact of advanced hybrid closed-loop (AHCL) on glycemic control throughout the menstrual cycle (MC) in women with type 1 diabetes (T1D). We included 39 pairs of spontaneous MC from 13 participants, before and after switching from sensor-augmented pump to AHCL. Baseline time below range <70 mg/dL (TBR<70) was significantly higher during the mid-follicular phase than during late luteal phase (5.7±5.0% vs. 4.1±3.0%), but similar time in range 70-180 mg/dL (TIR) was observed throughout the MC. After switching to AHCL, a reduction in TBR<70 and an increase in TIR were observed in all phases. Phase-dependent changes in insulin infusion were detected and pre-existing differences in TBR<70 were eradicated (3.5±3.2% vs. 3.0±3.0%). However, TIR became significantly higher during the early follicular than during the late luteal phase (79.1±9.3% vs. 74.5±10.0%). In conclusion, AHCL improved glycemic control throughout the MC, but performance differed according to phase.

Nasal Glucagon Reverses Insulin-induced Hypoglycemia With Less Rebound Hyperglycemia: Pooled Analysis of Clinical Trials.

Background: Rebound hyperglycemia may occur following glucagon treatment for severe hypoglycemia. We assessed rebound hyperglycemia occurrence after nasal glucagon (NG) or injectable glucagon (IG) administration in patients with type 1 diabetes (T1D) and type 2 diabetes (T2D). Methods: This was a pooled analysis of 3 multicenter, randomized, open-label studies (NCT03339453, NCT03421379, NCT01994746) in patients ≥18 years with T1D or T2D with induced hypoglycemia. Proportions of patients achieving treatment success [blood glucose (BG) increase to ≥70 mg/dL or increase of ≥20 mg/dL from nadir within 15 and 30 minutes]; BG ≥70 mg/dL within 15 minutes; in-range BG (70-180 mg/dL) 1 to 2 and 1 to 4 hours postdose; and BG >180 mg/dL 1 to 2 and 1 to 4 hours postdose were compared. Incremental area under curve (iAUC) of BG >180 mg/dL and area under curve (AUC) of observed BG values postdose were analyzed. Safety was assessed in all studies. Results: Higher proportions of patients had in-range BG with NG vs IG (1-2 hours: P = .0047; 1-4 hours: P = .0034). Lower proportions of patients had at least 1 BG value >180 mg/dL with NG vs IG (1-2 hours: P = .0034; 1-4 hours: P = .0068). iAUC and AUC were lower with NG vs IG (P = .025 and P < .0001). As expected, similar proportions of patients receiving NG or IG achieved treatment success at 15 and 30 minutes (97-100%). Most patients had BG ≥70 mg/dL within 15 minutes (93-96%). The safety profile was consistent with previous studies. Conclusion: This study demonstrated lower rebound hyperglycemia risk after NG treatment compared with IG. Clinical Trial Registration: NCT03421379, NCT03339453, NCT01994746.