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.

Radiomics-Based Assessment of OCT Angiography Images for Diabetic Retinopathy Diagnosis.

Purpose: To evaluate the diagnostic accuracy of machine learning (ML) techniques applied to radiomic features extracted from OCT and OCT angiography (OCTA) images for diabetes mellitus (DM), diabetic retinopathy (DR), and referable DR (R-DR) diagnosis. Design: Cross-sectional analysis of a retinal image dataset from a previous prospective OCTA study (ClinicalTrials.govNCT03422965). Participants: Patients with type 1 DM and controls included in the progenitor study. Methods: Radiomic features were extracted from fundus retinographies, OCT, and OCTA images in each study eye. Logistic regression, linear discriminant analysis, support vector classifier (SVC)-linear, SVC-radial basis function, and random forest models were created to evaluate their diagnostic accuracy for DM, DR, and R-DR diagnosis in all image types. Main Outcome Measures: Area under the receiver operating characteristic curve (AUC) mean and standard deviation for each ML model and each individual and combined image types. Results: A dataset of 726 eyes (439 individuals) were included. For DM diagnosis, the greatest AUC was observed for OCT (0.82, 0.03). For DR detection, the greatest AUC was observed for OCTA (0.77, 0.03), especially in the 3 × 3 mm superficial capillary plexus OCTA scan (0.76, 0.04). For R-DR diagnosis, the greatest AUC was observed for OCTA (0.87, 0.12) and the deep capillary plexus OCTA scan (0.86, 0.08). The addition of clinical variables (age, sex, etc.) improved most models AUC for DM, DR and R-DR diagnosis. The performance of the models was similar in unilateral and bilateral eyes image datasets. Conclusions: Radiomics extracted from OCT and OCTA images allow identification of patients with DM, DR, and R-DR using standard ML classifiers. OCT was the best test for DM diagnosis, OCTA for DR and R-DR diagnosis and the addition of clinical variables improved most models. This pioneer study demonstrates that radiomics-based ML techniques applied to OCT and OCTA images may be an option for DR screening in patients with type 1 DM. Financial Disclosures: Proprietary or commercial disclosure may be found after the references.

Cost of Severe Hypoglycemia and Budget Impact with Nasal Glucagon in Patients with Diabetes in Spain.

INTRODUCTION: Severe hypoglycemic events (SHE) represent a clinical and economic burden in patients with diabetes. Nasal glucagon (NG) is a novel treatment for SHEs with similar efficacy, but with a usability advantage over injectable glucagon (IG) that may translate to improved economic outcomes. The economic implications of this usability advantage on SHE-related spending in Spain were explored in this analysis. METHODS: A cost-offset and budget impact analysis (BIA) was conducted using a decision tree model, adapted for the Spanish setting. The model calculated average costs per SHE over the SHE treatment pathway following a treatment attempt with IG or NG. Analyses were performed separately in three populations with insulin-treated diabetes: children and adolescents (4-17 years) with type 1 diabetes (T1D), adults with T1D and adults with type 2 diabetes (T2D), with respective population estimates applied in BIA. Treatment probabilities were assumed to be equal for IG and NG, except for treatment success following glucagon administration. Epidemiologic and cost data were obtained from Spanish-specific sources. BIA results were presented at a 3-year time horizon. RESULTS: On a per SHE level, NG was associated with lower costs compared to IG (children and adolescents with T1D, EUR 820; adults with T1D, EUR 804; adults with T2D, EUR 725). Lower costs were attributed to reduced costs of professional medical assistance in patients treated with NG. After 3 years, BIA showed that relative to IG, the introduction of NG was projected to reduce SHE-related spending by EUR 1,158,969, EUR 142,162,371, and EUR 6,542,585 in children and adolescents with T1D, adults with T1D, and adults with insulin-treated T2D, respectively. CONCLUSIONS: In Spain, the usability advantage of NG over IG translates to potential cost savings per SHE in three populations with insulin-treated diabetes, and the introduction of NG was associated with a lower budget impact versus IG in each group.

Nuclear magnetic resonance-based metabolomic analysis in the assessment of preclinical atherosclerosis in type 1 diabetes and preeclampsia.

AIMS: Evaluate the role of plasma metabolomics in atherosclerosis according to the presence of type 1 diabetes (T1D) or previous preeclampsia. METHODS: We recruited 105 women without cardiovascular disease and last pregnancy ≥5 years previously, divided according to the presence of T1D or previous preeclampsia. Preclinical atherosclerosis was defined as the presence of carotid plaque (intima-media thickness ≥1.5 mm) assessed by ultrasonography. Metabolomics were evaluated by nuclear magnetic resonance (NMR). Bivariate and multivariate-adjusted differences in NMR-metabolomics were evaluated. RESULTS: The participants were 44.9 ± 8.1 years-old; 20% harbored plaques. There were significant differences in lipidic-, energetic- and nitrogen-related metabolites according to the presence of T1D/preeclampsia (p < 0.05). In multivariate-adjusted models (by age, statins, blood pressure and T1D/preeclampsia), only lipidomic-related metabolites were associated with atherosclerosis in the whole sample. However, stronger associations were observed in women with previous preeclampsia (vs. without; per 0.5 mmol/L increments); phosphatidylcholine, OR 4.08 (1.32-27.22); free cholesterol, 5.18 (1.22-21.97); saturated fatty acids, OR 2.99 (1.37-6.48); w-7, OR 2.29 (1.15-4.56); and w-9 fatty acids, OR 1.49 (1.00-2.23). CONCLUSIONS: NMR-metabolomics showed a differential pattern according to the presence of T1D/preeclampsia in relation to preclinical atherosclerosis. Since most of these metabolites mirror lifestyle factors, they could help tailor dietetic advice in high-risk women.

Updated Software for Automated Assessment of Glucose Variability and Quality of Glycemic Control in Diabetes.

Background: Glycemic variability is an important factor to consider in diabetes management. It can be assessed with multiple glycemic variability metrics and quality of control indices based on continuous glucose monitoring (CGM) recordings. For this, a robust repeatable calculation is important. A widely used tool for automated assessment is the EasyGV software. The aim of this work is to implement new methods of glycemic variability assessment in EasyGV and to validate implementation of each glucose metric in EasyGV against a reference implementation of the calculations. Methods: Validation data used came from the JDRF CGM study. Validation of the implementation of metrics that are available in EasyGV software v9 was carried out and the following new methods were added and validated: personal glycemic state, index of glycemic control, times in ranges, and glycemic variability percentage. Reference values considered gold standard calculations were derived from MATLAB implementation of each metric. Results: The Pearson correlation coefficient was above 0.98 for all metrics, except for mean amplitude of glycemic excursion (r = 0.87) as EasyGV implements a fuzzy logic approach to assessment of variability. Bland-Altman plots demonstrated validation of the new software. Conclusions: The new freely available EasyGV software v10 (www.phc.ox.ac.uk/research/technology-outputs/easygv) is a validated robust tool for analyzing different glycemic variabilities and control metrics.

Assessment of the effectiveness of long-term insulin pump therapy using a combined goal of HbA1c decrease and absence of severe hypoglycemia. / Evaluación de la efectividad de la terapia ISCI a largo plazo mediante el objetivo combinado de descenso de HbA1c y ausencia de hipoglucemia grave.

OBJECTIVE: Less than one third of patients with type 1 diabetes mellitus (T1DM) achieve the cut-off value proposed as good metabolic control by most guidelines, HbA1c<7%. However, HbA1c reductions and prevention of severe hypoglycemia (SH) have shown clinically relevant benefits. The study objective therefore was to assess the effectiveness of continuous subcutaneous insulin infusion (CSII) therapy at 5 years of follow-up in a cohort of patients attending a specialized unit using HbA1c reduction and abscence of SH as combined goals. METHODS: A retrospective, observational study on 178 patients with T1DM who started CSII treatment at Hospital Clinic of Barcelona between 2003 and 2008. HbA1c levels at baseline and after 5 years of treatment with CSII and presence or absence of SH were recorded. The combined variables calculated included: a) HbA1c reduction by≥0.5 points and absence of SH in the last 2 years; b) HbA1c at 5 years<7.5% and no SH in the last 2 years; c) HbA1c<8.5% and no HG in the last 2 years, and d) HbA1c reduction by≥0.5 points and/or HbA1c<7.5% at 5 years with no SH in the last 2 years of follow-up. RESULTS: Twenty-seven of the 178 patients were excluded due to loss to follow-up or CSII discontinuation. A total of 151 patients (aged 37.4±10.5 years, 64% women, diabetes duration of 19.2±10.7 years) were therefore analyzed. The 2 main reasons for starting CSII were suboptimal metabolic control (60.9%) and severe hypoglycemia/hypoglycemia unawareness (28.5%). HbA1c levels in the total cohort and in patients with suboptimal metabolic control were 8.0±1.2 and 8.4±1.1% at CSII start and 7.8±1.2 and 8.0±1.3% at 5 years of treatment (P=.104 and P=.016) respectively. In the overall cohort, 55.5% of patients achieved at 5 years the combined goal of HbA1c<7.5% and/or HbA1c reductions≥0.5% without SH. CONCLUSIONS: After 5 years of CSII therapy, more than half of the patients achieved the combined goal of significant HbA1c reduction and absence of SH. The use of combined goals offers the opportunity to assess the effectiveness of T1DM treatment from a clinically more meaningful point of view.

Budget impact of continuous subcutaneous insulin infusion therapy in patients with type 1 diabetes who experience severe recurrent hypoglycemic episodes in Spain. / Impacto presupuestario de la infusión subcutánea continua de insulina en el tratamiento de pacientes con diabetes tipo 1 que presentan episodios de hipoglucemia grave recurrente en España.

OBJECTIVE: Hypoglycemia is one of the most common complications to achieve a good metabolic control, and has been listed by several scientific associations as a common indication to start treatment with continuous subcutaneous insulin infusion (CSII). Use of CSII is still residual in Spain as compared to neighbouring countries, and cost of acquisition cost is one of the main reasons. This study estimates the budget impact of treatment with CSII, as compared to multiple daily insulin injections, of patients with type 1 diabetes mellitus who experience recurrent severe hypoglycemia episodes from the National Healthcare System perspective. METHODS: Budget impact was based on a retrospective, observational study evaluating the efficacy of CSII in patients with type 1 diabetes mellitus conducted at Hospital Clínic i Universitari in Barcelona, where one of the main indications for switching to CSII were recurrent severe hypoglycemia episodes. The mean number of annual episodes was 1.33 in the two years prior to CSII start and 0.08 in the last two years of follow up (p=0.003). Costs of treatment and major hypoglycemic events over a four-year period were considered. Costs were taken from different Spanish data sources and expressed in € of 2016. RESULTS: Treatment with CSII increased costs by €9,509 per patient as compared to multiple daily insulin injections (€11,902-€2,393). Cost associated to severe hypoglycemic events decreased by €19,330 per patient treated with CSIII (€1,371-€20,701). Results suggest mean total savings of €9,821 per patient during the four-year study period. CONCLUSION: The higher costs associated to CSII therapy may be totally offset by the severe hypoglycemic events prevented.

Extensive Assessment of Blood Glucose Monitoring During Postprandial Period and Its Impact on Closed-Loop Performance.

BACKGROUND: Closed-loop (CL) systems aims to outperform usual treatments in blood glucose control and continuous glucose monitors (CGM) are a key component in such systems. Meals represents one of the main disturbances in blood glucose control, and postprandial period (PP) is a challenging situation for both CL system and CGM accuracy. METHODS: We performed an extensive analysis of sensor's performance by numerical accuracy and precision during PP, as well as its influence in blood glucose control under CL therapy. RESULTS: During PP the mean absolute relative difference (MARD) for both sensors presented lower accuracy in the hypoglycemic range (19.4 ± 12.8%) than in other ranges (12.2 ± 8.6% in euglycemic range and 9.3 ± 9.3% in hyperglycemic range). The overall MARD was 12.1 ± 8.2%. We have also observed lower MARD for rates of change between 0 and 2 mg/dl. In CL therapy, the 10 trials with the best sensor spent less time in hypoglycemia (PG < 70 mg/dl) than the 10 trials with the worst sensors (2 ± 7 minutes vs 32 ± 38 minutes, respectively). CONCLUSIONS: In terms of accuracy, our results resemble to previously reported. Furthermore, our results showed that sensors with the lowest MARD spent less time in hypoglycemic range, indicating that the performance of CL algorithm to control PP was related to sensor accuracy.

Assessment of use of specific features of subcutaneous insulin infusion systems and their relationship to metabolic control in patients with type 1 diabetes.

BACKGROUND AND OBJECTIVE: Patients with type 1 diabetes (T1DM) treated with continuous subcutaneous insulin infusion (CSII) have available several specific features of these devices. The aim of this study was to evaluate the relationship between real use of them and the degree of glycemic control in patients using this therapy. PATIENTS AND METHODS: Forty-four T1DM patients on CSII therapy with or without real-time continuous glucose monitoring (CGM) were included. Data from 14 consecutive days were retrospectively collected using the therapy management software CareLink Personal/Pro(®) and HbA1c measurement performed at that period. The relationship between the frequency of usie of specific features of insulin pumps (non-sensor augmented or sensor-augmented) and glycemic control was analyzed. RESULTS: Mean HbA1c in the group was 7.5 ± .8%. Mean daily number of boluses administered was 5.1 ± 1.8, with 75.4% of them being bolus wizards (BW). Daily number of boluses was significantly greater in patients with HbA1c <7.5% than in those with HbA1c>7.5% (5.3 ± 1.6 vs. 4.3 ± 1.6, P=.056). There was a trend to greater use of BW in patients with better control (82.8 ± 21.4% vs. 69.9 ± 29.1%, P=.106). HbA1c was lower in patients using CGM (n=8) as compared to those not using sensor-augmented pumps (7.6 ± .8 vs 7.1 ± .7, P=.067), but the difference was not statistically significant. CONCLUSIONS: More frequent use of BW appears to be associated to better metabolic control in patients with T1DM using pump therapy. In standard clinical practice, augmentation of insulin pump with CGM may be associated to improved glycemic control.