Model-Fusion-Based Online Glucose Concentration Predictions in People with Type 1 Diabetes.
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ABSTRACT:
SUBMITTER: Yu X
PROVIDER: S-EPMC5736323 | biostudies-literature | 2018 Feb
REPOSITORIES: biostudies-literature
Publications
Model-Fusion-Based Online Glucose Concentration Predictions in People with Type 1 Diabetes.
Yu Xia X Turksoy Kamuran K Rashid Mudassir M Feng Jianyuan J Frantz Nicole N Hajizadeh Iman I Samadi Sediqeh S Sevil Mert M Lazaro Caterina C Maloney Zacharie Z Littlejohn Elizabeth E Quinn Laurie L Cinar Ali A
Control engineering practice 20180201
Accurate predictions of glucose concentrations are necessary to develop an artificial pancreas (AP) system for people with type 1 diabetes (T1D). In this work, a novel glucose forecasting paradigm based on a model fusion strategy is developed to accurately characterize the variability and transient dynamics of glycemic measurements. To this end, four different adaptive filters and a fusion mechanism are proposed for use in the online prediction of future glucose trajectories. The filter fusion m ...[more]
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Project description:AimTo perform a model-based analysis of the short- and long-term health benefits and costs of further increased implementation of empagliflozin for people with type 2 diabetes and established cardiovascular disease (eCVD) in Sweden.Materials and methodsThe validated Institute for Health Economics Diabetes Cohort Model (IHE-DCM) was used to estimate health benefits and a 3-year budget impact, and lifetime costs per quality-adjusted life years (QALY) gained of increased implementation of adding empagliflozin to standard of care (SoC) for people with type 2 diabetes and eCVD in a Swedish setting. Scenarios with 100%/75%/50% implementation were explored. Analyses were based on 30 model cohorts with type 2 diabetes and eCVD (n = 131 412 at baseline) from national health data registers. Sensitivity analyses explored the robustness of results.ResultsOver 3 years, SoC with empagliflozin (100% implementation) versus SoC before empagliflozin resulted in 7700 total life years gained and reductions in cumulative incidence of cardiovascular deaths by 30% and heart failures by 28%. Annual costs increased by 15% from higher treatment costs and increased survival. Half of these benefits and costs are not yet reached with current implementation below 50%. SoC with empagliflozin yielded 0.37 QALYs per person, with an incremental cost-effectiveness ratio of 16 000 EUR per QALY versus SoC before empagliflozin.ConclusionsModel simulations using real-world data and trial treatment effects indicated that a broader implementation of empagliflozin, in line with current guidelines for treatment of people with type 2 diabetes and eCVD, would lead to further benefits even from a short-term perspective.
| S-EPMC10107920 | biostudies-literature
Project description:BackgroundHypoglycemia occurs in an appreciable number of individuals with type 2 diabetes mellitus (T2DM) who are receiving glycemic therapy. Iatrogenic hypoglycemia induces not only complications but also a substantial medical expense. Intervention for relevant risk factors may help avert severe hypoglycemia and enhance quality of life in at-risk individuals. This study investigates the relationship between body mass index (BMI) and plasma glucose concentration during iatrogenic hypoglycemia in people with T2DM.MethodsEnrollment criteria were people above 20 years of age, with existing diagnosis of T2DM, a documented plasma glucose level ≤70 mg/dL, and acute cognitive impairment requiring hospitalization. Participants were classified into two groups according to their BMI. Specifically, lower BMI subgroup denotes individuals whose BMI fall within lower half of the study population, and vice versa. Plasma glucose concentration, length of hospital stay, and serum electrolyte level at hospitalization were compared between these BMI subgroups. Moreover, multivariate regression analysis was performed to identify covariates associated with plasma glucose level during iatrogenic hypoglycemia.ResultsThis study enrolled 107 participants for whom 54 were assigned to a higher BMI subgroup and the remainder to a lower BMI subgroup. People with lower BMI harbored substantially reduced plasma glucose concentration during iatrogenic hypoglycemia compared to those with higher BMI (30.1 ± 9.6 mg/dL vs. 38.4 ± 12.3 mg/dL, P < 0.001). Nonetheless, the length of stay (6.2 ± 4.6 days vs. 5.7 ± 4.0 days, P = 0.77) and serum potassium level (3.7 ± 0.9 meq/L vs. 3.9 ± 0.8 meq/L, P = 0.14) were comparable between subgroups. Multivariate regression analysis identified BMI as a determinant of plasma glucose concentration in diabetic individuals with iatrogenic hypoglycemia (β coefficient: 0.72, P = 0.008).DiscussionIn individuals with T2DM who experience severe iatrogenic hypoglycemia, BMI influences the plasma glucose level at hospitalization. People with lower BMI harbored appreciably reduced plasma glucose concentration relative to their higher BMI counterparts. In lower weight people, therefore, appropriate dosing of antidiabetic medications, frequent self-monitoring of blood glucose level and adequate nutritional support may help avert more severe hypoglycemia. Overall, BMI potentially influences the severity of iatrogenic hypoglycemia in people with T2DM.
| S-EPMC5816962 | biostudies-literature
Project description:Purpose of reviewPeople with diabetes require continuous self-monitoring and face numerous decisions in their day-to-day lives. Therefore, on many occasions, they need more support than that provided by health professionals. In this context, peer support in online diabetes communities could be a useful tool. The purpose of the review is to describe, analyze and synthesize the available evidence on the use and health out-comes of online communities for people with type 2 diabetes mellitus. A scoping review was conducted in accordance with the Joanna Briggs Institute guidelines. Searches were performed PubMed, Web of Science, CINHAL, Scopus and Cochrane databases.Recent findingsFrom 1821 identified documents, 6 articles were included. These studies explored the characteristics of diabetes online communities and the population features. Besides, the results were classified according to whether they were clinical, psychosocial, or addressed people's experiences with the online community. The analysis underscores their value in facilitating communication, improving diabetes management, and enhancing psychosocial well-being. Future investigations should prioritize longitudinal assessments to elucidate the sustained impact of community engagement and optimize user participation for enhanced patient outcomes. The growing relevance of new technologies has led to a significant number of individuals with chronic illnesses seeking peer support. Online health communities have emerged as virtual spaces where individuals with shared health interests interact and form relationships. Within these digital spaces, individuals can engage in peer interaction, observe behaviors, and mutually benefit, potentially leading to improved attitudes toward the disease.
| S-EPMC11043193 | biostudies-literature
Project description:IntroductionThis study assessed experiences, attitudes, and behaviors of people with diabetes (PwD) regarding diabetes self-management and glucose control, and their level of awareness, knowledge, and attitudes toward time in range (TIR).MethodsThis quantitative survey was conducted using an online questionnaire across seven countries. Respondents were PwD classified into three subgroups: type 1 (T1), type 2 insulin (T2 insulin), and type 2 not on insulin (T2 N/insulin).ResultsRespondents included 621 people in the T1, 780 people in the T2 insulin, and 735 people in the T2 N/insulin subgroups. Awareness of TIR was low, particularly in the T2 N/insulin subgroup (T1 53%, T2 insulin 29%, T2 N/insulin 9%). Despite a lower current use of continuous glucose monitoring (CGM) among the T2 insulin and T2 N/insulin participants (38% and 9%, respectively), versus T1 participants (64%), most (> 70%) were positive toward utilizing new tools and measures to self-manage blood glucose. Recommendations from their healthcare professionals (HCPs) were cited as a strong motivator to try new measures for analyzing glucose levels. The main barriers cited were limited access to CGM and lack of understanding of TIR benefits. Cost was the main reason given by ≥ 40% of respondents for stopping CGM use.ConclusionsThere is an unmet need in diabetes management, and TIR and CGM offer a potential solution. PwD are motivated to manage their blood glucose levels and are positive toward utilizing new tools and measures to achieve this goal. HCPs play a pivotal role in informing and guiding PwD on new measures for analyzing glucose.
| S-EPMC11263454 | biostudies-literature
Project description:Aims/hypothesisWe aimed to examine: (1) whether specific glucose-response curve shapes during OGTTs are predictive of type 1 diabetes development; and (2) the extent to which the glucose-response curve is influenced by insulin secretion.MethodsAutoantibody-positive relatives of people with type 1 diabetes whose baseline OGTT met the definition of a monophasic or biphasic glucose-response curve were followed for the development of type 1 diabetes (n = 2627). A monophasic curve was defined as an increase in OGTT glucose between 30 and 90 min followed by a decline of ≥ 0.25 mmol/l between 90 and 120 min. A biphasic response curve was defined as a decrease in glucose after an initial increase, followed by a second increase of ≥ 0.25 mmol/l. Associations of type 1 diabetes risk with glucose curve shapes were examined using cumulative incidence curve comparisons and proportional hazards regression. C-peptide responses were compared with and without adjustments for potential confounders.ResultsThe majority of participants had a monophasic curve at baseline (n = 1732 [66%] vs n = 895 [34%]). The biphasic group had a lower cumulative incidence of type 1 diabetes (p < 0.001), which persisted after adjustments for age, sex, BMI z score and number of autoantibodies (p < 0.001). Among the monophasic group, the risk of type 1 diabetes was greater for those with a glucose peak at 90 min than for those with a peak at 30 min; the difference persisted after adjustments (p < 0.001). Compared with the biphasic group, the monophasic group had a lower early C-peptide (30-0 min) response, a lower C-peptide index (30-0 min C-peptide/30-0 min glucose), as well as a greater 2 h C-peptide level (p < 0.001 for all).Conclusions/interpretationThose with biphasic glucose curves have a lower risk of progression to type 1 diabetes than those with monophasic curves, and the risk among the monophasic group is increased when the glucose peak occurs at 90 min than at 30 min. Differences in glucose curve shapes between the monophasic and biphasic groups appear to be related to C-peptide responses.
| S-EPMC5850999 | biostudies-literature
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Project description:AimThis study aimed to determine the association of urinary microalbumin concentrations with type 2 diabetes mellitus (T2DM), metabolic syndrome (MetS), and its phenotypes. The optimum cut-off values of urinary microalbumin and microalbumin-to-creatinine ratio (MCR) for predicting the chance of having T2DM and MetS were also defined.MethodsAdult men and women (n = 1192) participated in the sixth phase (2014-2017) of the Tehran Lipid and Glucose Study (TLGS), with completed data, were included in the analyses. Odds ratios (ORs) (and 95% confidence intervals (CIs)) of T2DM, MetS, and its components across tertile categories of urinary microalbumin concentrations were estimated using multivariable logistic regressions. The optimal cut-off points of urinary microalbumin and MCR were determined using the receiver operator characteristic (ROC) curve analysis.ResultsParticipants' mean (±SD) age was 44.9 (±14.0) years, and 44.6% of the participants were men. The prevalence of microalbuminuria was 14.4%. Chance of having T2DM was significantly higher in the highest tertile of urinary microalbumin concentration (OR = 2.29, 95% CI = 1.43-3.67) and MCR (OR = 1.82, 95% CI = 1.15-2.89). Subjects with the highest urinary microalbumin concentration were more likely to have MetS (OR = 1.66, 95% CI = 1.17-2.35), hypertension (OR = 1.63, 95% CI = 1.16-2.30) and hyperglycemia (OR = 1.78, 95% CI = 1.24-2.56). No significant association was observed between urinary microalbumin concentrations and other components of MetS. The optimal cut-off points of urinary microalbumin for predicting the chance of having T2DM and MetS were 14.0 and 13.6 mg/L, respectively.ConclusionsElevated spot urinary microalbumin, below the values defined as microalbuminuria, was associated with the chance of having T2DM and MetS.
| S-EPMC8905801 | biostudies-literature
Project description:IntroductionThe transition from paediatric to adult diabetes care (TPA) of children/adolescents with type 1 diabetes (T1D) represents a unique challenge and remains a critical phase in the T1D care pathway. This study aims to describe and understand the experience of the transition process from a participant's perspective in young adults who are living in France with T1D and to measure their satisfaction.MethodsAn online questionnaire was presented to people with T1D in France on a global online participant community platform. The questionnaire was developed by a scientific committee including paediatric and adult diabetologists and refined by a group of participants. Thematic qualitative analysis was performed on the responses.ResultsA total of 104 respondents were included in the survey (mean age 24.4 years [95% CI 23.8-25.0]; 61.5% female). The mean age at the time of transition was 18.4 years (95% CI 17.8-18.9), and 56% of respondents had their first adult diabetology follow-up in the same institution. During TPA, of the 76 participants who experienced personal issues, 74% experienced at least one issue with their diabetes management in the months following the transition. In the following months, 61% experienced new or unexpected problems in monitoring their diabetes after transition and 44% reported unusual glycaemic imbalances, including hypoglycaemia (8%) and hyperglycaemia (9%) requiring hospitalisation. Presence of personal issues during TPA was significantly associated with occurrence of problems with diabetes management or glycaemic imbalance. Three factors identified for a successful transition were (i) early meeting with the 'adult' diabetes care team, (ii) letting the participants choose the right age to leave paediatric clinic and (iii) having good diabetes control at the beginning of the TPA process.ConclusionMost young adults with T1D report experiencing issues around TPA with significant consequences on their disease management. Hence, it is necessary to identify these issues to better support them and improve diabetes management during this phase.
| S-EPMC11411039 | biostudies-literature
Project description:BackgroundBecause insulin is the main regulator of glucose homeostasis, quantitative models describing the dynamics of glucose-induced insulin secretion are of obvious interest. Here, a computational model is introduced that focuses not on organism-level concentrations, but on the quantitative modeling of local, cellular-level glucose-insulin dynamics by incorporating the detailed spatial distribution of the concentrations of interest within isolated avascular pancreatic islets.MethodsAll nutrient consumption and hormone release rates were assumed to follow Hill-type sigmoid dependences on local concentrations. Insulin secretion rates depend on both the glucose concentration and its time-gradient, resulting in second-and first-phase responses, respectively. Since hypoxia may also be an important limiting factor in avascular islets, oxygen and cell viability considerations were also built in by incorporating and extending our previous islet cell oxygen consumption model. A finite element method (FEM) framework is used to combine reactive rates with mass transport by convection and diffusion as well as fluid-mechanics.ResultsThe model was calibrated using experimental results from dynamic glucose-stimulated insulin release (GSIR) perifusion studies with isolated islets. Further optimization is still needed, but calculated insulin responses to stepwise increments in the incoming glucose concentration are in good agreement with existing experimental insulin release data characterizing glucose and oxygen dependence. The model makes possible the detailed description of the intraislet spatial distributions of insulin, glucose, and oxygen levels. In agreement with recent observations, modeling also suggests that smaller islets perform better when transplanted and/or encapsulated.ConclusionsAn insulin secretion model was implemented by coupling local consumption and release rates to calculations of the spatial distributions of all species of interest. The resulting glucose-insulin control system fits in the general framework of a sigmoid proportional-integral-derivative controller, a generalized PID controller, more suitable for biological systems, which are always nonlinear due to the maximum response being limited. Because of the general framework of the implementation, simulations can be carried out for arbitrary geometries including cultured, perifused, transplanted, and encapsulated islets.
| S-EPMC3138450 | biostudies-literature
Project description:BackgroundFinger prick blood glucose (BG) monitoring remains a mainstay of management in people with type 2 diabetes (T2DM) who take sulphonylurea (SU) drugs or insulin. We recently examined patient experience of BG monitoring in people with type 1 diabetes (T1DM). There has not been any recent comprehensive assessment of the performance of BG monitoring strips or the patient experience of BG strips in people with T2DM in the UK.MethodsAn online self-reported questionnaire containing 44 questions, prepared following consultation with clinicians and patients, was circulated to people with T2DM. 186 responders provided completed responses (25.5% return rate). Fixed responses were coded numerically (eg not confident = 0 fairly confident = 1).ResultsOf responders, 84% were treated with insulin in addition to other agents. 75% reported having had an HbA1c check in the previous 6 months. For those with reported HbA1c ≥ 65 mmol/mol, a majority of people (70%) were concerned or really concerned about the shorter term consequences of running a high HbA1c This contrasted with those who did not know their recent HbA1c, of whom only 33% were concerned/really concerned and those with HbA1c <65 mmol/mol of whom 35% were concerned. Regarding BG monitoring/insulin adjustment, only 25% of responders reported having sufficient information with 13% believing that the accuracy and precision of their BG metre was being independently checked. Only 9% recalled discussing BG metre accuracy when their latest metre was provided and only 7% were aware of the International Standardisation Organisation (ISO) standards for BG metres. 77% did not recall discussing BG metre performance with a healthcare professional.ConclusionThe group surveyed comprised engaged people with T2DM but even within this group there was significant variation in (a) awareness of shorter term risks, (b) confidence in their ability to implement appropriate insulin dosage (c) awareness of the limitations of BG monitoring technology. There is clearly an area where changes in education/support would benefit many.
| S-EPMC8917860 | biostudies-literature