Glycemic Treatment Research Articles

Metabolic Reprogramming via Ketogenic Diet: A Novel Approach to Combating Neurological Diseases

Epilepsy is a chronic neurological disorder characterized by a persistent tendency for the brain to generate seizures, affecting approximately 0.5–1% of the global population. Despite advances in pharmacological treatments and surgical interventions, around 30% of individuals with epilepsy continue to experience seizures, leading to significant impacts on quality of life. Among these individuals, many suffer from drug-resistant epilepsy (DRE), where seizures persist despite optimal drug therapy or surgical interventions.In recent years, the ketogenic diet (KD)—a high-fat, low-carbohydrate dietary regimen—has emerged as an effective non-pharmacological strategy for managing DRE. The KD works by inducing ketosis, a metabolic state where the body uses fat as the primary energy source instead of carbohydrates, which has been associated with neuroprotective effects and significant seizure reduction. Variants of the KD, such as the Modified Atkins Diet (MAD) and Low Glycemic Index Treatment (LGIT), offer less restrictive alternatives that have shown similar efficacy in reducing seizure frequency.This review explores the cellular and molecular mechanisms of the KD, evaluates its safety and tolerability across different age groups, and assesses its efficacy in treating epilepsy, particularly DRE. The findings underscore the potential of personalized dietary interventions to serve as effective adjunctive therapies in the management of epilepsy, offering new hope for individuals who do not respond to conventional treatments.

Personal and Psychological Predictors of Glycemic Control among Patients with Type 2 Diabetes at a Tertiary Care Center in Ghana

Abstract Background: As diabetes is a chronic disease, patients must make adjustments to their lifestyle and self-care practices to live optimally with the disease and reduce associated morbidity. Their ability to make these adjustments is partly dependent on their coping capacity and resilience, which may enhance glycemic control. Materials and Methods: A cross-sectional study involving 156 consented and randomly selected type 2 diabetes patients was conducted at Korle-Bu Teaching Hospital, a national health facility in Accra, Ghana. Structured questionnaires were used to extract information on sociodemographic characteristics and clinical parameters (including glycemic control), while the Africultural Coping Systems Inventory and the Adult Resilience Measure were administered to assess cultural variables and resilience. Stata version 16.1 was used to analyze the data, and the significance level was set at P ≤ 0.05. Results: Ethnicity, age, and working status were significantly associated with glycemic control. Adjusted binary logistic regression revealed that the odds of good glycemic control among nonhypertensive patients was 2.8 times greater compared with hypertensive patients (adjusted odds ratio [aOR]: 2.80, 95% confidence interval [CI]: 1.02–7.69); while the odds of good glycemic control increase by 17% with every 1-point increase in the resilience caregiver arm score (aOR: 1.17, 95% CI: 1.01–1.37). Conclusions: Efforts should be made toward implementing proactive measures aimed at enhancing income levels, coping strategies, and resilience among patients diagnosed with diabetes mellitus. Such initiatives are crucial for assisting individuals in adapting to the chronic nature of the condition and its associated treatment regimen, ultimately leading to improved glycemic control and treatment outcomes.

Value of Glycemic Dispersion Index in Predicting Major Adverse Cardiovascular Events in Diabetic Patients with Concomitant Acute Coronary Syndrome.

This investigation aims to assess the predictive value of the glycemic dispersion index (GDI), calculated by incorporating glycated hemoglobin, fasting plasma glucose, and 2-hour postprandial plasma glucose, in predicting major adverse cardiovascular events (MACE) within a 12-month timeframe for diabetic patients with concomitant acute coronary syndrome (ACS). A retrospective study was conducted on 3261 diabetic patients with ACS who were hospitalized in the Department of Cardiology, the Sixth Affiliated Hospital of Kunming Medical University, from January 2016 to July 2022. Based on the inclusion and exclusion criteria, 512 patients were ultimately enrolled in the study. Their general information and laboratory test indicators were collected, and the occurrence of MACE within 12 months after admission was followed up and recorded for the enrolled patients, With the last follow-up having been concluded on July 31, 2023. The enrolled patients were stratified into four groups (Q1, Q2, Q3, Q4) based on their GDI values, from the lowest to the highest. Cox proportional hazards regression analysis and Kaplan-Meier survival analysis were employed to investigate the risk factors associated with MACE occurrence across these groups and to assess the cumulative risk of MACE over time within each group. The percentages of enrolled patients experiencing MACE in groups Q1 to Q4 were 10.16%, 12.50%, 15.63%, and 16.41%, respectively. GDI independently predicted the hazards for MACE in enrolled patients. The cumulative risk of MACE over time was considerably more significant in those with a GDI>4.21 than those with a GDI≤4.21. The elevated GDI is correlated with an augmented risk of MACE in diabetic patients with concomitant ACS, thereby serving as an early indicator for assessing the unfavorable clinical prognosis of patients. This study offers novel insights into glycemic variability monitoring, enhancing prevention and treatment strategies for cardiovascular disease in people with diabetes.

Glycaemic treatment of newly diagnosed type 2 diabetes.

Glycaemic treatment of newly diagnosed type 2 diabetes.

Machine learning-based reproducible prediction of type 2 diabetes subtypes

Aims/hypothesisClustering-based subclassification of type 2 diabetes, which reflects pathophysiology and genetic predisposition, is a promising approach for providing personalised and effective therapeutic strategies. Ahlqvist’s classification is currently the most vigorously validated method because of its superior ability to predict diabetes complications but it does not have strong consistency over time and requires HOMA2 indices, which are not routinely available in clinical practice and standard cohort studies. We developed a machine learning (ML) model to classify individuals with type 2 diabetes into Ahlqvist’s subtypes consistently over time.MethodsCohort 1 dataset comprised 619 Japanese individuals with type 2 diabetes who were divided into training and test sets for ML models in a 7:3 ratio. Cohort 2 dataset, comprising 597 individuals with type 2 diabetes, was used for external validation. Participants were pre-labelled (T2Dkmeans) by unsupervised k-means clustering based on Ahlqvist’s variables (age at diagnosis, BMI, HbA1c, HOMA2-B and HOMA2-IR) to four subtypes: severe insulin-deficient diabetes (SIDD), severe insulin-resistant diabetes (SIRD), mild obesity-related diabetes (MOD) and mild age-related diabetes (MARD). We adopted 15 variables for a multiclass classification random forest (RF) algorithm to predict type 2 diabetes subtypes (T2DRF15). The proximity matrix computed by RF was visualised using a uniform manifold approximation and projection. Finally, we used a putative subset with missing insulin-related variables to test the predictive performance of the validation cohort, consistency of subtypes over time and prediction ability of diabetes complications.ResultsT2DRF15 demonstrated a 94% accuracy for predicting T2Dkmeans type 2 diabetes subtypes (AUCs ≥0.99 and F1 score [an indicator calculated by harmonic mean from precision and recall] ≥0.9) and retained the predictive performance in the external validation cohort (86.3%). T2DRF15 showed an accuracy of 82.9% for detecting T2Dkmeans, also in a putative subset with missing insulin-related variables, when used with an imputation algorithm. In Kaplan–Meier analysis, the diabetes clusters of T2DRF15 demonstrated distinct accumulation risks of diabetic retinopathy in SIDD and that of chronic kidney disease in SIRD during a median observation period of 11.6 (4.5–18.3) years, similarly to the subtypes using T2Dkmeans. The predictive accuracy was improved after excluding individuals with low predictive probability, who were categorised as an ‘undecidable’ cluster. T2DRF15, after excluding undecidable individuals, showed higher consistency (100% for SIDD, 68.6% for SIRD, 94.4% for MOD and 97.9% for MARD) than T2Dkmeans.Conclusions/interpretationThe new ML model for predicting Ahlqvist’s subtypes of type 2 diabetes has great potential for application in clinical practice and cohort studies because it can classify individuals with missing HOMA2 indices and predict glycaemic control, diabetic complications and treatment outcomes with long-term consistency by using readily available variables. Future studies are needed to assess whether our approach is applicable to research and/or clinical practice in multiethnic populations.Graphical

Periodontal tissue susceptibility to glycaemic control in type 2 diabetes.

To assess the direct effect of intensive glycaemic control on periodontal tissues in patients with diabetes mellitus. Twenty-nine patients with type 2 diabetes were enrolled and hospitalized to receive a 2-week intensive glycaemic control regimen. We observed and analysed the systemic and oral disease indicators before and after treatment and clarified the indicators related to periodontal inflammation. A significant reduction in glycaemic and periodontal parameters, including glycated albumin levels and periodontal inflamed surface area (PISA), was observed after treatment. The changes in PISA per tooth, indicative of periodontal healing, exhibited a bimodal distribution; the patients were divided into two groups on this basis. Correlations were observed between the changes in PISA per tooth and fasting plasma glucose, acetoacetic acid, and beta-hydroxybutyrate levels in the PISA-improved group. Significantly lower levels of C-peptide, coefficient of variation of R-R interval, and ankle-brachial pressure index were observed before treatment in the PISA non-improved group. Glycaemic control treatment can effectively improve periodontitis in patients with type 2 diabetes, even in the absence of specific periodontal treatments. However, the periodontal responsiveness to glycaemic control treatment depends on the systemic condition of the patient.

Fetal strain and strain rate measured with speckle tracking echocardiography in maternal diabetes: systematic review.

The aim of this systematic review and meta-analysis was to evaluate fetal cardiac function in fetuses of mothers with diabetes compared to those of mothers without diabetes using 2D-STE. Embase, MEDLINE and CENTRAL were searched for observational studies on 2D-STE fetal left and right ventricular global longitudinal strain and strain rate that included singleton, non-anomalous pregnancies complicated by pregestational or gestational diabetes mellitus compared to uncomplicated pregnancies. The strain values were pooled per 4 weeks of gestation for meta-analysis using random-effects models. Fifteen studies met the criteria, including 990 fetuses of diabetic mothers and 1,645 control fetuses. The study design was cross-sectional in fourteen studies and longitudinal in one study. Gestational age, type of diabetes, ultrasound device and 2D-STE software varied between the studies. Glycemic control and type of treatment were often lacking. In fetuses of diabetic mothers versus healthy mothers, left ventricular strain was significantly decreased (7 studies), increased (1 study) or not significantly different (7 studies). Right ventricular strain was decreased (7 studies), increased (1 study) or not different (2 studies). Left ventricular strain rate was decreased (3 studies), increased (1 study) or not different (2 studies). Right ventricular strain rate was increased (1 study) or not different (2 studies). Fetuses of mothers with diabetes show evidence of systolic dysfunction, which is more visible in the right ventricle. Contradictory results are probably due to suboptimal study designs and variation in gestational age, diabetes severity, image acquisition and software. Large prospective longitudinal studies are needed to assess fetal myocardial function with 2D-STE in pregestational diabetes mellitus type 1 and 2 and gestational diabetes mellitus pregnancies. The influence of glycemic control, BMI and treatment should be evaluated.

Protein glycation products associate with progression of kidney disease and incident cardiovascular events in individuals with type 1 diabetes

BackgroundDespite improved glycemic treatment, the impact of glycation on pathological consequences may persist and contribute to adverse clinical outcomes in diabetes. In the present study we investigated the association between serum protein glycation products and progression of kidney disease as well as incident major adverse cardiovascular events (MACE) in type 1 diabetes.MethodsFructosamine, advanced glycation end products (AGEs), and methylglyoxal-modified hydro-imidazolone (MG-H1) were measured from baseline serum samples in the FinnDiane study (n = 575). Kidney disease progression was defined as steep eGFR decline (> 3 mL/min/1.73 m2/year) or progression of albuminuria (from lower to higher stage of albuminuria). MACE was defined as acute myocardial infarction, coronary revascularization, cerebrovascular event (stroke), and cardiovascular death.ResultsFructosamine was independently associated with steep eGFR decline (OR 2.15 [95% CI 1.16–4.01], p = 0.016) in the fully adjusted model (age, sex, baseline eGFR). AGEs were associated with steep eGFR decline (OR 1.58 per 1 unit of SD [95% CI 1.07–2.32], p = 0.02), progression to end-stage kidney disease (ESKD) (HR 2.09 per 1 unit of SD [95% CI 1.43–3.05], p < 0.001), and pooled progression (to any stage of albuminuria) (HR 2.72 per 1 unit of SD [95% CI 2.04–3.62], p < 0.001). AGEs (HR 1.57 per 1 unit of SD [95% CI 1.23–2.00], p < 0.001) and MG-H1 (HR 4.99 [95% CI 0.98–25.55], p = 0.054) were associated with incident MACE. MG-H1 was also associated with pooled progression (HR 4.19 [95% CI 1.11–15.89], p = 0.035). Most AGEs and MG-H1 associations were no more significant after adjusting for baseline eGFR.ConclusionsOverall, these findings suggest that protein glycation products are an important risk factor for target organ damage in type 1 diabetes. The data provide further support to investigate a potential causal role of serum protein glycation in the progression of diabetes complications.

Sequential Treatment with Modified Atkins Diet and Low Glycemic Index Treatment for Drug-Resistant Epilepsy in Children.

The present study was designed to study the efficacy of sequential dietary therapy with a modified Atkins diet (mAD) followed by low glycemic index treatment (LGIT) in treating drug-resistant epilepsy in children. This interventional study was conducted from February 2021 to February 2022 among children aged 6 months to 5 years who had failed to respond to more than two conventional and correctly chosen antiseizure medications. The primary endpoint was the proportion of good responders, that is, children with more than 50% seizure reduction. Secondary outcome measures were the proportion of children with seizure freedom, > 90% seizure reduction, and the nature of parent-reported adverse events. A total of 45 children were recruited for the study, with 6 children being lost to follow-up at 12 weeks. At 12 weeks, 30 of 39 (76.9%) children were good responders with more than 50% seizure reduction. Of these 30 children, 11 (24.4%) had more than 90% seizure reduction, with 9 (20%) achieving complete spasm freedom. Constipation was the most common side effect of the diet among the enrolled subjects. Clinicians can consider sequential dietary therapy with a mAD in the first month followed by LGIT in the next 2 months for treating children who could not tolerate mAD beyond 1 month.

Post-trial monitoring of a randomised controlled trial of intensive glycaemic control in type 2 diabetes extended from 10 years to 24 years (UKPDS 91)

The 20-year UK Prospective Diabetes Study showed major clinical benefits for people with newly diagnosed type 2 diabetes randomly allocated to intensive glycaemic control with sulfonylurea or insulin therapy or metformin therapy, compared with conventional glycaemic control. 10-year post-trial follow-up identified enduring and emerging glycaemic and metformin legacy treatment effects. We aimed to determine whether these effects would wane by extending follow-up for another 14 years. 5102 patients enrolled between 1977 and 1991, of whom 4209 (82·5%) participants were originally randomly allocated to receive either intensive glycaemic control (sulfonylurea or insulin, or if overweight, metformin) or conventional glycaemic control (primarily diet). At the end of the 20-year interventional trial, 3277 surviving participants entered a 10-year post-trial monitoring period, which ran until Sept 30, 2007. Eligible participants for this study were all surviving participants at the end of the 10-year post-trial monitoring period. An extended follow-up of these participants was done by linking them to their routinely collected National Health Service (NHS) data for another 14 years. Clinical outcomes were derived from records of deaths, hospital admissions, outpatient visits, and accident and emergency unit attendances. We examined seven prespecified aggregate clinical outcomes (ie, any diabetes-related endpoint, diabetes-related death, death from any cause, myocardial infarction, stroke, peripheral vascular disease, and microvascular disease) by the randomised glycaemic control strategy on an intention-to-treat basis using Kaplan-Meier time-to-event and log-rank analyses. This study is registered with the ISRCTN registry, number ISRCTN75451837. Between Oct 1, 2007, and Sept 30, 2021, 1489 (97·6%) of 1525 participants could be linked to routinely collected NHS administrative data. Their mean age at baseline was 50·2 years (SD 8·0), and 41·3% were female. The mean age of those still alive as of Sept 30, 2021, was 79·9 years (SD 8·0). Individual follow-up from baseline ranged from 0 to 42 years, median 17·5 years (IQR 12·3-26·8). Overall follow-up increased by 21%, from 66 972 to 80 724 person-years. For up to 24 years after trial end, the glycaemic and metformin legacy effects showed no sign of waning. Early intensive glycaemic control with sulfonylurea or insulin therapy, compared with conventional glycaemic control, showed overall relative risk reductions of 10% (95% CI 2-17; p=0·015) for death from any cause, 17% (6-26; p=0·002) for myocardial infarction, and 26% (14-36; p<0·0001) for microvascular disease. Corresponding absolute risk reductions were 2·7%, 3·3%, and 3·5%, respectively. Early intensive glycaemic control with metformin therapy, compared with conventional glycaemic control, showed overall relative risk reductions of 20% (95% CI 5-32; p=0·010) for death from any cause and 31% (12-46; p=0·003) for myocardial infarction. Corresponding absolute risk reductions were 4·9% and 6·2%, respectively. No significant risk reductions during or after the trial for stroke or peripheral vascular disease were observed for both intensive glycaemic control groups, and no significant risk reduction for microvascular disease was observed for metformin therapy. Early intensive glycaemic control with sulfonylurea or insulin, or with metformin, compared with conventional glycaemic control, appears to confer a near-lifelong reduced risk of death and myocardial infarction. Achieving near normoglycaemia immediately following diagnosis might be essential to minimise the lifetime risk of diabetes-related complications to the greatest extent possible. University of Oxford Nuffield Department of Population Health Pump Priming.

Ketogenic Diet in the Treatment of Epilepsy.

Epilepsy is one of the most disabling neurological diseases. Despite proper pharmacotherapy and the availability of 2nd and 3rd generation antiepileptic drugs, deep brain stimulation, and surgery, up to 30-40% of epilepsy patients remain drug-resistant. Consequences of this phenomenon include not only decreased a quality of life, and cognitive, behavioral, and personal disorders, but also an increased risk of death, i.e., in the mechanism of sudden unexpected death in epilepsy patients (SUDEP). The main goals of epilepsy treatment include three basic issues: achieving the best possible seizure control, avoiding the undesired effects of treatment, and maintaining/improving the quality of patients' lives. Therefore, numerous attempts are made to offer alternative treatments for drug-resistant seizures, an example of which is the ketogenic diet. It is a long-known but rarely used dietary therapy for intractable seizures. One of the reasons for this is the unpalatability of the classic ketogenic diet, which reduces patient compliance and adherence rates. However, its antiseizure effects are often considered to be worth the effort. Until recently, the diet was considered the last-resort treatment. Currently, it is believed that a ketogenic diet should be used much earlier in patients with well-defined indications. In correctly qualified patients, seizure activity may be reduced by over 90% or even abolished for long periods after the diet is stopped. A ketogenic diet can be used in all age groups, although most of the available literature addresses pediatric epilepsy. In this article, we focus on the mechanisms of action, effectiveness, and adverse effects of different variants of the ketogenic diet, including its classic version, a medium-chain triglyceride diet, a modified Atkins diet, and a low glycemic index treatment.

Section 9: Pharmacologic Approaches to Glycemic Treatment.

Section 9: Pharmacologic Approaches to Glycemic Treatment.

Intensive Glycemic Management Is Associated With Reduced Retinal Structure Abnormalities on Ocular Coherence Tomography in the DCCT/EDIC Study.

To investigate quantitative and qualitative changes in retinal structure using optical coherence tomography (OCT) and their associations with systemic or other risk factors in individuals with type 1 diabetes (T1D). In the Epidemiology of Diabetes Interventions and Complications (EDIC) study, OCT images were obtained during study years 25-28 (2019-2022) in 937 participants; 54% and 46% were from the original intensive (INT) and conventional (CONV) glycemic management treatment groups, respectively. Average age for participants was 61 years old, diabetes duration 39 years, and HbA1c 7.6%. Participants originally in the CONV group were more likely to have disorganization of retinal inner layers (DRIL) (CONV 27.3% vs. INT 18.7%; P = 0.0003), intraretinal fluid (CONV 24.4% vs. INT 19.2%; P = 0.0222), and intraretinal cysts (CONV 20.8% vs. INT 16.6%; P = 0.0471). In multivariable models, sex, age, smoking, mean updated systolic blood pressure, and history of "clinically significant" macular edema (CSME) and of anti-VEGF treatment were independently associated with changes in central subfield thickness, while HbA1c, BMI, and history of CSME and of ocular surgery were associated with DRIL. Visual acuity (VA) decline was associated with significant thinning of all retinal subfields except for the central and inner nasal subfields. Early intensive glycemic management in T1D is associated with a decreased risk of DRIL. This important morphological abnormality was associated with a history of macular edema, a history of ocular surgery, and worse VA. This study reveals benefits of intensive glycemic management on the retina beyond features detected by fundus photographs and ophthalmoscopy.

Global and regional estimates of tuberculosis burden attributed to high fasting plasma glucose from 1990 to 2019: emphasis on earlier glycemic control

BackgroundPrevious studies have shown subjects suffering from diabetes or persistent hyperglycemia were more likely to develop tuberculosis (TB). However, the global burden of TB attributed to high fasting plasma glucose (HFPG) remains unclear. This study aimed to characterize the global, regional, and national TB burden attributed to HFPG from 1990 to 2019.MethodsWith Global Burden of Disease study 2019, the numbers and age-standardized mortality rates (ASMR) and age-standardized disability-adjusted life years (DALY) rates (ASDR) of TB attributed to HFPG at global, regional, and national levels from 1990 to 2019 were extracted. The locally weighted regression model was applied to estimate the TB burden for different socio-demographic index (SDI) regions.ResultsGlobally, the ASMR and ASDR attributed to HFPG were 2.70 (95% UI, 1.64–3.94) and 79.70 (95% UI, 50.26–112.51) per 100,000 population in 1990, respectively. These rates decreased to 1.46 (95% UI, 0.91–2.08) and 45.53 (95% UI, 29.06–62.29) in 2019. The TB burden attributed to HFPG remained high in low SDI and Central Sub-Saharan Africa regions, while it declined with most significantly in high SDI and East Asia regions. Additionally, the ASMR and ASDR of TB attributed to HFPG were significantly higher in the male and the elderly population.ConclusionsThe global TB burden attributable to HFPG decreased from 1990 to 2019, but remained high in low SDI regions among high-risk populations. Thus, urgent efforts are required to enhance the awareness of early glycemic control and TB treatment to alleviate the severe situation.

Diabetic Foot Ulcer Management and Treatment: An Overview of Published Patents.

One of the most challenging effects of diabetes is diabetic foot ulceration (DFU). DFU may occur in up to one-third of individuals with diabetes mellitus (D.M.) at some point in their lives. The major cause of morbidity in D.M. patients is DFU. The length of treatment is difficult, and DFU recurrence is common. The most crucial element for the treatment and prevention of DFUs require a multidisciplinary approach. Patients who are at risk should be identified, depending on the type of risk, prophylactic actions etc. It is imperative to identify at-risk patients and take preventative measures accordingly. The at-risk diabetes-related foot ulcer was identified based on the risk category classification, while the foot ulcers were evaluated using Wagner's classification system. Literature reported that patients with lower limb vascular insufficiency, loss of vibratory sensation, or protective sensation loss have an increased risk of developing foot ulcers. Proper categorization and therapeutic measures will be implemented after the DFU has been formed. The appropriate assessment and management of general health status should include glycemic control, the diagnosis and treatment of vascular disease, standard care for wounds, diagnosis, and infection treatments. The review reflects the updated awareness of the treatment and management of DFU based on the current and past literature and patent analysis.

Glycemic outcomes and patient satisfaction and self-management improves in transition from standard to virtual multidisciplinary care

AimsWith advances in cloud-based technologies, there has been a rise in remote T1D care. We hypothesized that transitioning T1DM care to a virtual, multidisciplinary clinic could improve measures beyond HbA1c. MethodsTo assess the impact of transitioning from standard to virtual T1DM care, we evaluated glycemic measures and patient reported outcomes. ResultsSixty-one adults with T1DM were included, with mean age 40.2 ± 13.5 years and diabetes duration 16.9 ± 9.0 years. Most patients were treated with insulin pumps and CGM. The number of annual diabetes care encounters rose from 2.1 ± 4.2 to 12.8 ± 5.5. Baseline HbA1c was 7.9 ± 1.6 %(63 ± 16.9 mmol/mol), declining to 7.3 ± 1.1 %(56 ± 8.5 mmol/mol) and 7.1 ± 1.0 %(54 ± 7.7 mmol/mol) at 6 and 12 months respectively (p < 0.001 for both). In parallel, TIR improved from 63.1 ± 19.3 % to 69.2 ± 13.8 % (p < 0.001) and 67.5 ± 19.4 % (p = 0.03) at 6 and 12 months respectively, while TBR declined. Scores from validated diabetes treatment and self-management questionnaires rose significantly and these rises were associated with a reduction in HbA1c, the latter score was also associated with increased TIR. There was a trend toward a correlation between encounter frequency and improvement in HbA1c and TIR. ConclusionsTransitioning from standard to virtual, coordinated, multidisciplinary T1DM care is associated with increased visit frequency, improving glycemic control, treatment satisfaction and self-care behaviors.

12-Month Real-Life Efficacy of the MiniMed 780G Advanced Closed-Loop System in Patients Living with Type 1 Diabetes: A French Observational, Retrospective, Multicentric Study.

Aim: To evaluate the evolution of glycemic outcomes in patients living with type 1 diabetes (T1D) after 1 year of use of the MiniMed 780G advanced hybrid closed-loop (AHCL) system. Methods: We conducted an observational, retrospective, multicentric study in 20 centers in France. The primary objective was to evaluate the improvement in glycemic control after 1-year use of AHCL. The primary endpoint was the variation of time in range (TIR) between pre-AHCL and after 1-year use of AHCL. Secondary objectives were to analyze the glycemic outcomes after 3, 6, and 12 months of AHCL use, the safety, and the long-term observance of AHCL. Results: Two hundred twenty patients were included, and 200 were analyzed for the primary endpoint. 92.7% of patients continued to use AHCL. After 1 year of use of AHCL, TIR was 72.5% ± 10.6% (+9.1%; 95% confidence interval [CI] [7.6-10.5] compared to pre-AHCL initiation, P < 0.001), HbA1c 7.1% ± 0.7% (-0.5%; 95% CI [-0.6 to -0.4]; P < 0.001), time below range 2.0% [1.0; 3.0] (0.0% [-2.0; 0.0], P < 0.001), and time above range 24.8% ± 10.9% (-7.3%; 95% CI [-8.8 to -5.7]; P < 0.001). More patients achieved the glycemic treatment goals of HbA1c <7.0% (45.1% vs. 18.1%, P < 0.001) and TIR >70% (59.0% vs. 29.5% P < 0.001) when compared with pre-AHCL. Five patients experienced severe hypoglycemia events and two patients experienced ketoacidosis. Conclusion: After 1 year of use of AHCL, people living with T1D safely improved their glucose control and a higher proportion of them achieved optimal glycemic control.

Factors Affecting Quality of Life in Adolescents Living With Type 2 Diabetes: A Substudy of the Improving Renal Complications in Adolescents With Type 2 Diabetes Through REsearch (iCARE) Cohort

ObjectivesType 2 diabetes (T2D) disproportionately impacts adolescents living in challenging socioeconomic conditions. However, the impacts of T2D on quality of life (QOL) in this context are unknown. Our aim in this study was to evaluate QOL and identify its biological, psychological, and social determinants among adolescents living with and without T2D from similar sociodemographic backgrounds. Relationships between glycemic stability, early complications, and treatments of T2D and QOL were also examined. MethodsNinety-two adolescents with T2D and 59 at-risk controls were included from the Improving Renal Complications in Adolescents With Type 2 Diabetes Through Research (iCARE) cohort. The main outcome was QOL (Pediatric QOL Inventory [PedsQL]). Biological covariates included age, sex, body mass index z score, glycated hemoglobin, estimated glomerular filtration rate, and urine albumin-to-creatinine ratio. Psychological factors included perceived stress (14-item Perceived Stress Scale) and mental distress (6-item Kessler scale). Social factors included food security (Household Food Security Survey Module) and income quintile. Multivariate linear regression analyses were used to identify factors associated with QOL between adolescents with and without T2D, and within the T2D cohort. ResultsMean total QOL scores among adolescents with T2D were lower than in controls (67.0±14.8 vs 71.7±16.2, p=0.04). Age, sex, and percent Indigenous ethnicity were not significantly different between groups. Mean duration of T2D was 2.3±2.0 years. In the multivariate analysis, QOL was not associated with diabetes status, but negative associations were seen between mental distress (β=−1.46, p<0.001) and food insecurity QOL (β=−6.26, p=0.037). No differences were seen between biological factors and QOL in either analysis. ConclusionsSignificant factors associated with decreased QOL in adolescents living with T2D include mental distress and food insecurity, indicating areas for targeted intervention.

Efficacy and safety of modified Atkins diet therapy for drug‐resistant epilepsy in children and adults: A systematic review and meta‐analysis

AbstractIntroductionDiet‐based treatments have been proposed for drug‐resistant epilepsy (DRE), and the Modified Atkins Diet (MAD) is an alternative. This study aimed to assess the efficacy and safety of MAD as an adjunctive therapy for reducing seizures in patients with drug‐resistant epilepsy.MethodsA literature search was done on six databases. Randomized controlled trial (RCT) studies were included, comparing DRE patients of all ages on standard antiseizure medications (ASD) who received MAD compared to no‐dietary or other dietary interventions. The outcomes are the seizure frequency reduction and the adverse events. Cochrane risk‐of‐bias tool and GRADE were used to assess study quality and the overall certainty of evidence. The effect size of the efficacy of MAD was computed as risk ratio (95% CI). Subgroup analysis based on each type of comparator was done.ResultsTen RCT studies (905 participants) were included, comparing MAD to no dietary intervention, ketogenic diet (KD), and low glycemic index treatment (LGIT). Overall, MAD is constantly and significantly more efficacious than no dietary intervention in reducing seizures ≥50% (RR 7.90, 95% CI 4.59–13.62), ≥90% (RR 4.61, 95% CI 2.05–10.36), and inducing complete seizure‐free (RR 7.79, 95% 2.61–23.22) with high certainty. Other dietary therapies and MAD did not differ significantly from one another in terms of efficacy. The risk of adverse events in MAD is insignificantly higher than in others (RR 1.19, 95% 0.92–1.55).ConclusionThe Modified Atkins Diet has better seizure reduction than no diet intervention but is comparable to other dietary interventions with a negligible increased risk of adverse events.

Do glycaemic treatment targets affect the perinatal mental health status of women with gestational diabetes? – Data from the TARGET Trial

BackgroundGestational diabetes mellitus is associated with perinatal mental disorders. Effective management may reduce this risk, but there is little evidence on effects of different glycaemic treatment targets. We assessed whether tight glycaemic treatment targets compared with less-tight targets reduce the risk of poor mental health outcomes in women with gestational diabetes.MethodsThis was a secondary analysis of data from women who consented to complete perinatal mental health questionnaires as participants in the TARGET Trial, a stepped-wedge cluster randomized trial in 10 hospitals in New Zealand. All hospitals initially used less tight glycaemic targets for management of gestational diabetes and were sequentially randomized, in clusters of two at 4-monthly intervals, to using tighter glycaemic targets.Data were collected from 414 participants on anxiety (6-item Spielberger State Anxiety scale), depression (Edinburgh Postnatal Depression Scale), and health-related quality of life (36-Item Short-Form General Health Survey) at the time of diagnosis (baseline), 36 weeks of gestation, and 6 months postpartum. The primary outcome was composite poor mental health (any of anxiety, vulnerability to depression, or poor mental health-related quality of life). Generalized linear mixed models were used to determine the main treatment effect with 95% confidence intervals using an intention-to-treat approach.ResultsWe found no differences between randomised glycaemic target groups in the primary outcome at 36 weeks’ (relative risk (RR): 1.07; 95% confidence interval 0.58, 1.95) and 6 months postpartum (RR: 1.03; 0.58, 1.81). There were similarly no differences in the components of the primary outcome at 36 weeks’ [anxiety (RR: 0.85; 0.44, 1.62), vulnerability to depression (RR: 1.10; 0.43, 2.83), or poor mental health-related quality of life (RR: 1.05; 0.50, 2.20)] or at 6 months postpartum [anxiety (RR:1.21; 0.59, 2.48), vulnerability to depression (RR:1.41; 0.53, 3.79), poor mental health-related quality of life (RR: 1.11; 0.59, 2.08)].ConclusionWe found no evidence that adoption of tighter glycaemic treatment targets in women with gestational diabetes alters their mental health status at 36 weeks’ gestation and at 6 months postpartum.Trial registrationThe Australian New Zealand Clinical Trials Registry (ANZCTR). ACTRN12615000282583 (ANZCTR—Registration). Date of registration: 25 March 2015.