Effective Diabetes Management Research Articles

Spillover effects from a type 2 diabetes integrated model of care in 22,706 Australians: an open cohort stepped wedge trial

BackgroundMany Australian adults are not receiving timely or effective diabetes management to prevent or delay the onset of diabetes related complications. Integrated care, a worldwide trend in healthcare reform, aims to reduce the fragmented delivery of health services and improve outcomes. This study aimed to test whether a specialist-led integrated model of care provided to a small subset of patients in general practices leads to spillover clinical improvements in all patients of the practice with type 2 diabetes.MethodsSeventy-two general practice sites (clusters) in New South Wales, Australia received the Diabetes Alliance intervention, creating a non-randomised open cohort stepped wedge trial. The intervention comprised of case conferencing, delivered directly to a small proportion of adults with type 2 diabetes (n = 1,072) of the general practice sites; as well as practice feedback, education and training. Spillover clinical improvements were assessed on all adults with type 2 diabetes within the general practice sites (n = 22,706), using practice level data recorded in the MedicineInsight electronic database, compared before and after the intervention. Outcome measures included frequency of diabetes screening tests in line with the Annual Cycle of Care, and clinical results for weight, blood pressure, HbA1c, lipids, and kidney function.ResultsCompared to before Diabetes Alliance, the odds of all practice patients receiving screening tests at or above the recommended intervals were significantly higher for all recommended tests after Diabetes Alliance (odds ratio range 1.41–4.45, p < 0.0001). Significant improvements in clinical outcomes were observed for weight (absolute mean difference: -1.38 kg), blood pressure (systolic − 1.12 mmHg, diastolic − 1.18 mmHg), HbA1c (-0.03% at the mean), total cholesterol (-0.11 mmol/L), and triglycerides (-0.02 mmol/L) (p < 0.05). There were small but significant declines in kidney function.ConclusionsIntegrated care delivered to a small subset of patients with type 2 diabetes across a large geographic region has spillover benefits that improve the process measures and clinical outcomes for all practice patients with type 2 diabetes.Trial registrationACTRN12622001438741; 10th November 2022, retrospectively registered: https://www.anzctr.org.au/ACTRN12622001438741.aspx.

Empowering Natural Medicine: Nanocarrier-based Oral Delivery of Vigna Radiata Extract for Effective Diabetes Management

Background: Poor solubility and low oral bioavailability are major challenges associated with the oral delivery of the antidiabetic drug Vigna radiata (VR). Nanostructured lipid carriers (NLCs) have emerged as a promising strategy to overcome these limitations and improve the therapeutic efficacy of VR. This study investigated the potential of NLCs for VR delivery and explored the influence of formulation parameters on NLC properties and drug release behavior. Method: NLCs loaded with VR were prepared using the melt emulsion ultrafiltration technique. The effect of two key formulation variables – the ratio of liquid lipid to solid lipid and the concentration of the surfactant – were investigated in terms of particle size, zeta potential, and drug encapsulation efficiency. The in vitro release profiles of the VR-NLC formulations were evaluated, and the optimal formulation was subjected to further analysis to investigate its release kinetics. Result: The NLCs exhibited particle sizes ranging from 108.9 to 192.3 nm and all formulations possessed a negative zeta potential (-3.68 to -10.9 mV), indicating good stability and potential for resisting aggregation. Interestingly, the lowest solid lipid to liquid lipid ratio and the lowest surfactant concentration yielded the highest drug encapsulation efficiency, highlighting the complex interplay between these factors. All VR-NLC formulations exhibited a biphasic, time-dependent in vitro release pattern, suggesting an initial burst release followed by a sustained release phase. This biphasic profile is promising for achieving both rapid onset of action and long-lasting glycemic control, which are crucial aspects of effective diabetes management. The optimized NLC formulation showed an in vitro release pattern that adhered to the Higuchi diffusion model, suggesting a controlled release mechanism where the drug diffuses steadily out of the NLC matrix. This finding indicates potentially predictable and consistent drug delivery in vivo. Conclusion: This study demonstrates the potential of NLCs as a promising platform for the controlled oral delivery of VR. NLCs can overcome the inherent limitations of VR and provide a convenient and effective oral antidiabetic option for patients. Further research is needed to confirm the efficacy and safety of NLC-encapsulated VR in vivo using relevant animal models. This will pave the way for the development of a novel and potentially transformative treatment option for diabetes.

Microbiological characterization of neuropathic diabetic foot infection: a retrospective study at a Portuguese tertiary hospital

Diabetic foot infection imposes a significant burden and is the major cause of nontraumatic limb amputation. Adequate patient management with effective antibiotic therapy is crucial.This retrospective cohort study aimed to characterize the microbiology and resistance patterns of moderate to severe neuropathic diabetic foot infection in patients hospitalized at a tertiary referral hospital between January 2020 and June 2023. Deep tissue specimens from ulcers were collected for culture.Sixty inpatients were included (62% male, mean age 59.1 ± 11.5 years). Osteomyelitis was present in 90% of the patients. Among 102 microorganisms (average of 1.91 ± 1.25 pathogens per patient), 60.8% were gram-positive bacteria, 31.4% were gram-negative, 3.92% were anaerobic bacteria, and 3.92% were fungi. Staphylococcus aureus (19%) and Enterococcus faecium (17%) were the most common. Pseudomonas aeruginosa (8%) and bacteria of the Enterobacterales family (24%) accounted for all the isolated gram-negative bacteria. Sixteen percent of Staphylococcus aureus and 67% of coagulase-negative Staphylococci were resistant to methicillin. Resistance to ampicillin was found in 11% of Enterococci. All Pseudomonas aeruginosa isolates were sensitive to piperacillin-tazobactam, ceftazidime, or cefepime. Among the Enterobacterales, resistance rates were 35% for piperacillin-tazobactam, 38% for ceftazidime, 21% for cefepime, and 13% for carbapenems.Although the prevalence of methicillin-resistant staphylococci was lower than that in other studies, carbapenem resistance among gram-negative bacteria warrants attention. This study highlights the importance of understanding local epidemiology for effective diabetic foot infection management and resistance mitigation.

Assessment of Health-Related Quality of Life and Its Determinants in Type 2 Diabetes Mellitus Patients: A Cross-Sectional Study.

Background Type 2 diabetes mellitus is a complex metabolic disorder associated with several complications that determine the quality of life of the patients. Health-related quality of life (HRQoL) is a measurable outcome of the self-perception of a patient's health which is affected due to age, lifestyle changes, medication, and treatment modalities. This study was undertaken to understand the impact of individual parameters of age, medication type and duration, diabetes-associated complications, and levels of glycated hemoglobin (HbA1c) on the quality of life (QoL) of the patient. Methodology This single-center prospective, cross-sectional study was conducted at the Indira Gandhi Institute of Medical Sciences (IGIMS), Patna, Bihar, India. Participants were recruited from the Outpatient Department of General Medicine, IGIMS.HRQoL was measured using a validated and reliable EuroQol 5-dimensions 5-levels (EQ-5D-5L) questionnaire developed by the EuroQol Research Foundation, along with the EuroQol-Visual Analogue Scale (EQ-VAS). The eligibility criteria included adult diabetic patients above 18 years of age with complete medical records, who had been treated at the outpatient department for a minimum of three months and could be interviewed. Results The results from this study show that 46% of the patients belonged to the age group of 45-65 years. The quality of health index scores and EQ-VAS scores significantly correlated withage (p-values: 1.11 e-4 and 3.09 e-5; <0.05). Of the subjects,66.4%, 6.7%, and 26.8% were under oral hypoglycaemic agents (OHA), insulin, and both insulin with OHA medications respectively. HbA1C levels werestatistically significantly correlated with mobility, self-care, usual activities, pain or discomfort, and anxiety or depression (p-value 0.032; <0.05), along with self-perception of the patient's health (p-value 0.00026; <0.05).Also, the perception of having slight problems in mobility, self-care, usual activities, pain or discomfort, and anxiety or depression was similar irrespective of gender (EQ-5D-5L score for males: 9.47 and females: 9.3). Despite suffering from diabetes-associated chronic complications, 60.5% of the subjects perceived their overall health to be good as indicated by the scores. Conclusion The self-perception of HRQoL concerning mobility, self-care, usual activities, pain or discomfort, and anxiety or depression was correlated with age, duration of anti-diabetic medication, and HbA1C level. Good mobility, self-care, and performing usual activities reduce anxiety or depression as opposed to age, pain, and discomfort. However, the subjects in this study cohort perceived overall good health in themselves in terms of EQ-VAS and 5D-5L scores, indicating effective diabetic care and management options available to them.

Diabetes self-management: a qualitative study of education needs, practices and caregiver support in the Keta Municipality of Ghana

IntroductionA major part of diabetes management involves patients’ self-management. Poor self-management increases the risk of complications from the condition. Good self-management requires appropriate and adequate education and caregiver support, typically...

STUDY OF THE LONG-TERM EFFECTS OF DIABETES ON THE OVERALL HEALTH AND QUALITY OF LIFE IN THALASSEMIA PATIENTS

Thalassemia is a genetic blood disorder characterized by chronic anemia, requiring regular blood transfusions and chelation therapy. Diabetes mellitus is a common complication in thalassemia patients, primarily due to iron overload affecting the pancreas. This study investigates the long-term effects of diabetes on the overall health and quality of life in thalassemia patients. The research aims to understand how diabetes exacerbates complications associated with thalassemia and to identify strategies for improved management and care. The study includes a cohort of thalassemia patients with diabetes, compared to a control group of thalassemia patients without diabetes. Parameters assessed include glycemic control, incidence of diabetes-related complications, and overall health markers such as liver function, cardiovascular health, and renal function. Quality of life is measured using standardized questionnaires addressing physical, emotional, and social well-being. Preliminary findings indicate that thalassemia patients with diabetes have a significantly higher incidence of comorbid conditions, including cardiovascular disease and renal impairment (De Sanctis et al., 2016). Additionally, the quality of life in these patients is notably lower, with increased reports of fatigue, pain, and psychological distress (Haines et al., 2013). Effective management of diabetes in thalassemia patients, through regular monitoring and tailored treatment plans, is crucial in mitigating these adverse effects and improving patient outcomes (Farmaki et al., 2006). This study underscores the importance of integrated care approaches for thalassemia patients with diabetes, emphasizing the need for multidisciplinary teams to address the complex interplay of these conditions. Further research is needed to develop targeted interventions that can enhance the long-term health and quality of life for this vulnerable patient population. Results: study indicated that plant extracts exhibited higher inhibition than antibiotics. The minimum inhibitory concentration (MIC) while the results of the lowest inhibitory concentration of carvacrol for the bacterial species under study showed that it had an effect at a concentration of 615 µg/ml against Escherichia coli, 307.5 µg/ml for the species Corynebacterium stratium, Morganella morganii and Pseudomonas aeruginosa, and the least effect was 76.875 µg/ml on Staphylococcus aureus, it gave less results than the antibiotic used Carvacrol (Absorbance was measured at Wavelength 600) .

ProtecT-2-D trial protocol: cardiovascular protection in patients with type 2 diabetes and established heart and/or vascular disease at a cardio-metabolic clinic—a randomized controlled trial

BackgroundCardiovascular disease remains the primary cause of morbidity and mortality despite advancements in the treatment of patients with type 2 diabetes. Effective diabetes management extends beyond blood glucose control and includes cardiovascular prevention and treatment. However, the conventional healthcare model often emphasizes single-disease-specific management, leading to fragmented care. We aim to establish an affordable Cardio-Metabolic Clinic (CMC) that can provide comprehensive assessment and specialized care with a focus on cardiovascular protection.MethodsThe ProtecT-2-D study is a prospective, randomized control trial at the Cardiovascular Research Unit, Odense University Hospital Svendborg, Denmark. In this study, 1500 participants with type 2 diabetes and cardiovascular disease will be randomly assigned in a 2:1 ratio to receive either the intervention: treatment in the CMC, or the control: standard of care. The Cardio-Metabolic Clinic applies a decision-making algorithm coded with the latest guidelines to evaluate lifestyle factors and manage medical treatment. Health examinations are conducted at baseline and after three years, and clinical events will be assessed through registry and journal audits after five and ten years. The primary outcome is the time to the first occurrence of a composite of cardiovascular deaths, non-fatal acute myocardial infarctions, non-fatal stroke, or hospitalization due to heart failure at a time frame of five years.DiscussionThe Cardio-Metabolic Clinic represents a pioneering approach to diabetes management that aims to improve patient outcomes by reducing the cardiovascular disease burden. This study could transform diabetes care and offer a multidisciplinary, cost-effective, and specialized treatment. We need to establish the efficacy and feasibility of a CMC to integrate comparable clinics into broader healthcare systems, and potentially enhance cardiovascular health in patients with type 2 diabetes.Trial registration numberClinicalTrials.gov NCT06203860.Graphical

Diabetic retinopathy incidence, predictors and its association with longitudinal fasting blood sugar level changes among diabetes mellitus patients in Ethiopia: joint model.

Diabetes mellitus (DM) is a global public health problem characterized by an elevated blood glucose level. Monitoring blood sugar levels is vital for effective diabetes management and preventing complications. However, the association between longitudinal biomarkers and the incidence of diabetic complications is often overlooked. Therefore, this study aimed to assess the incidence of diabetic retinopathy, predictors, and association with longitudinal fasting blood sugar level changes among diabetes mellitus patients in Ethiopia. A multicenter retrospective follow-up study was carried out in referral hospitals in Amhara region, Ethiopia. A random sample of 462 newly diagnosed DM patients was selected. The proportional hazard assumption was checked for the survival sub-model, and for the longitudinal sub-model, the normality assumption was checked. Then the joint modeling with time-dependent lagged parameterizations was fitted. Model assumptions and comparisons were checked. Finally, the hazard ratio with a 95% confidence interval (CI) with a corresponding P-value<0.05 was used to identify predictors. In this study, Overall, 54 patients developed DR, and the incidence rate was 2.33 per 1000 person-months over the follow-up period, with a 95% CI of [1.78, 3.05]. Rural residence (AHR = 2.21, 95% CI: [1.21, 4.05]), hypertension co-morbidity (AHR = 3.01, 95% CI: [1.85, 6.53]), and longer duration of DM (>5 years) (AHR = 2.28, 95% CI: [1.91, 5.15]) were important predictors for the incidence of DR. In addition, the incidence of DR was substantially correlated with the time-dependent lagged value of FBS change (AHR = 4.20, 95% CI [1.62, 10.85]). In this study, the incidence of diabetic retinopathy was somewhat high when compared to prior similar studies in Ethiopia. A joint model of longitudinal fasting blood sugar level changes was significantly associated with an increased risk of DR. Besides, being rural residence, hypertension co-morbidity, and a longer duration of DM were significant predictors for the incidence of DR. Therefore, public awareness, an integrated care approach, and prioritizing glycemic control are highly recommended.

Gut Microbiota as Therapeutic Targets in Diabetes Management: Opportunities and Challenges

This article delves into the complex interplay between Type 2 Diabetes Mellitus (T2DM), gut microbiota, and dietary strategies for effective diabetes management. T2DM, characterized by insulin resistance and β-cell dysfunction, is influenced by genetic and environmental factors. The gut-brain axis and alterations in incretin functioning contribute to gastrointestinal permeability in T2DM. Plant-based diets offer substantial benefits for managing T2DM by improving emotional well-being, HbA1c levels, weight, and cholesterol. High-fiber diets positively impact gut microbiota, serum metabolism, and emotional health in T2DM individuals. Probiotics, prebiotics, synbiotics, and postbiotics (PPSP) are emerging as pivotal interventions. Probiotics improve serum fructosamine, HbA1c, and cholesterol levels, while prebiotics like oligofructose-enriched inulin and synbiotics enhance glycemic control and lipid profiles. Insights from microbiome studies in diverse dietary populations provide personalized approaches for diabetes management. Integrating plant-based nutrition, PPSP interventions, and microbiome-focused strategies may offer a comprehensive and effective approach to T2DM management, addressing physiological aspects and empowering individuals in their health journey.

Assessment of Medication Adherence Among Patients With Hypertension and Diabetes Mellitus in a Tertiary Healthcare Center: A Descriptive Study.

Introduction Effective management of diabetes and hypertension requires a comprehensive approach, including dietary adjustments, physical activity, routine screening for complications, and adherence to medication. Proper adherence to pharmacotherapy is essential for maintaining glycemic control and managing blood pressure. Non-adherence can result in increased complications, higher healthcare costs, and greater morbidity and mortality. This study aimed to evaluate the sociodemographic profile and medication adherence among adults with diabetes and hypertension, focusing on those undergoing treatment. The objective was to determine the extent of adherence and identify factors that influence adherence among patients with type 2 diabetes mellitus (T2DM) and hypertension. Methods A community-based study was conducted on patients with T2DM and/or hypertension in both rural and urban areas of Bhopal, specifically those attending JK Hospital, Bhopal, Madhya Pradesh, India. Participants were selected using a simple random sampling method. Medication adherence was assessed using the eight-item Morisky Medication Adherence Scale (MMAS-8), a validated tool for measuring patient adherence behavior. Results The study included 300participants, of whom 68% (n=204) were maleand 32% (n=96) were female. The average age of the participants was 57.52±10.3 years. Among the 300patients, 9% (n=27) had high adherence to medication, 24.7% (n=74) had moderate adherence, and 66.3% (n=199) had low adherence. Conclusions Effective strategies must include targeted patient education on medication costs, side effects, and the long-term benefits of adherence. Integrating technological aids like smartphone apps may enhance adherence. Patients who adhere closely to their regimens are more likely to achieve better control over blood pressure and glycated hemoglobin (HbA1c) levels, underscoring the critical importance of adherence in managing chronic conditions effectively.

Group-informed attentive framework for enhanced diabetes mellitus progression prediction.

The increasing prevalence of Diabetes Mellitus (DM) as a global health concern highlights the paramount importance of accurately predicting its progression. This necessity has propelled the use of deep learning's advanced analytical and predictive capabilities to the forefront of current research. However, this approach is confronted with significant challenges, notably the prevalence of incomplete data and the need for more robust predictive models. Our research aims to address these critical issues, leveraging deep learning to enhance the precision and reliability of diabetes progression predictions. We address the issue of missing data by first locating individuals with data gaps within specific patient clusters, and then applying targeted imputation strategies for effective data imputation. To enhance the robustness of our model, we implement strategies such as data augmentation and the development of advanced group-level feature analysis. A cornerstone of our approach is the implementation of a deep attentive transformer that is sensitive to group characteristics. This framework excels in processing a wide array of data, including clinical and physical examination information, to accurately predict the progression of DM. Beyond its predictive capabilities, our model is engineered to perform advanced feature selection and reasoning. This is crucial for understanding the impact of both individual and group-level factors on deep models' predictions, providing invaluable insights into the dynamics of DM progression. Our approach not only marks a significant advancement in the prediction of diabetes progression but also contributes to a deeper understanding of the multifaceted factors influencing this chronic disease, thereby aiding in more effective diabetes management and research.

Development and Assessment of a Nutritional Supplement Formulation for Diabetes Mellitus

Diabetes, a major global health issue, affects 424.9 million people worldwide, with a significant portion undiagnosed, leading to severe health and economic impacts. Effective management of diabetes includes dietary interventions, among which nutraceuticals play a crucial role. Nutraceuticals are food-derived compounds that offer health benefits, including disease prevention and treatment. This study focuses on the development of an antidiabetic nutraceutical instant soup powder formulated with ingredients like fenugreek seed, finger millet, tomato, curry leaves, garlic, black pepper, black salt, stevia, and oyster mushrooms.The raw materials were sourced from local markets and processed to create a fine powder mix. The soup powder’s physicochemical parameters, including pH, viscosity, moisture content, and ash levels, were measured. Nutritional analysis, sensory evaluation, and heavy metal content determination were conducted following standard protocols. The soup powder exhibited significant antimicrobial, antioxidant, and antidiabetic properties, demonstrating potential as a dietary supplement for diabetes management. The sensory evaluation indicated high acceptability among the panelists, highlighting the product’s feasibility for consumer use.

A web-based scoping review assessing the influence of smoking and smoking cessation on antidiabetic drug meabolism: implications for medication efficacy.

Currently 1.3 billion individuals globally engage in smoking, leading to significant morbidity and mortality, particularly among diabetic patients. There is urgent need for a better understanding of how smoking influences antidiabetic treatment efficacy. The review underscores the role of cigarette smoke, particularly polycyclic aromatic hydrocarbons (PAHs), in modulating the metabolic pathways of antidiabetic drugs, primarily through the induction of cytochrome P450 (CYP450) enzymes and uridine diphosphate (UDP)-glucuronosyltransferases (UGTs), thus impacting drug pharmacokinetics and therapeutic outcomes. Furthermore, the review addresses the relatively uncharted territory of how smoking cessation influences diabetes treatment, noting that cessation can lead to significant changes in drug metabolism, necessitating dosage adjustments. Special attention is given to the interaction between smoking cessation aids and antidiabetic medications, a critical area for patient safety and effective diabetes management. This scoping review aims to provide healthcare professionals with the knowledge to better support diabetic patients who smoke or are attempting to quit, ensuring tailored and effective treatment strategies. It also identifies gaps in current research, advocating for more studies to fill these voids, thereby enhancing patient care and treatment outcomes for this at-risk population.

The relationship between HbA1c control pattern and atherosclerosis progression of diabetes: a prospective study of Chinese population

BackgroundThis study aims to comprehensively explain of glycosylated Hemoglobin (HbA1c) control patterns and help determine the causal relationship between glycemic control patterns and atherosclerosis progression, thereby contributing to the effective management of diabetes complications.MethodAll participants registered at the National Metabolic Management Center (MMC) of Beijing Luhe Hospital. The HbA1c pattern was described by HbA1c variability and trajectory groups of HbA1c. Then we examined the associations between the HbA1c pattern and the changes of intima-media thickness (ΔIMT) using covariate-adjusted means (SE) of ΔIMT, which were calculated by multiple linear regression analyses adjusted for the covariates. Finally, a cross-lagged panel model (CLPM) was performed to further verify the bidirectional relationship between IMT and HbA1c.ResultsAfter data cleaning, a total of 1041 type 2 diabetes patients aged 20–80 years were included in this study. Except for average real variability (ARV), the other variation variables of HbA1c were associated with ΔIMT% (P < 0.05). Four discrete trajectories of HbA1c were identified in trajectory analysis. Comparing with the low-stable trajectory group of HbA1c, the covariate-adjusted means (SE) of ΔIMT% were significantly higher in Moderate-increase, U-shape and relative high trajectory groups, the mean (SE) were 7.03 (0.031), 15.49 (0.185), 14.15 (0.029), respectively. Meanwhile, there were significant bidirectional cross-lagged associations between HbA1c and IMT after adjusting for covariates.ConclusionWe found four discrete trajectory groups of HbA1c during the long-term follow-up of diabetes. There was a positive association between HbA1c variability and the progression of atherosclerosis. Our study suggested that patients with diabetes should avoid roller coaster changes in glucose over a long period when controlling blood glucose.

Incidence, Risk, and Clinical Course of New-Onset Diabetes in Long COVID: Protocol for a Systematic Review and Meta-Analysis of Cohort Studies.

COVID-19, an infectious disease pandemic, affected millions of people globally, resulting in high morbidity and mortality. Causing further concern, significant proportions of COVID-19 survivors endure the lingering health effects of SARS-CoV-2, the pathogen that causes COVID-19. One of the diseases manifesting as a postacute sequela of COVID-19 (also known as "long COVID") is new-onset diabetes. The aim of this study is to examine the incidence of new-onset diabetes in patients with long COVID and assess the excess risk compared with individuals who tested negative for COVID-19. The study also aims to estimate the population-attributable fraction for COVID-19 as a risk factor for new-onset diabetes in long COVID and investigate the clinical course of new-onset diabetes cases. This is a protocol for a systematic review and meta-analysis. PubMed, MEDLINE, Embase, Scopus, and Web of Science databases will be systematically searched to identify articles published between December 2019 and July 2024. A comprehensive search strategy for each database will be developed using a combination of Medical Subject Headings terms, subject headings, and text words to identify eligible studies. Cohort studies and randomized controlled trials (only control arms) involving patients with COVID-19 of any age, with follow-up data on new-onset diabetes in long COVID, will be considered for inclusion. Controls will comprise individuals who tested negative for COVID-19, with or without other respiratory tract infections. Three independent reviewers (AST, NB, and TT) will perform article selection, data extraction, and quality assessment of the studies. A fourth reviewer (ST) will review the identified studies for final inclusion in the analysis. The random-effects DerSimonian-Laird models will be used to estimate the pooled incidence proportion (%), incidence rate of diabetes (per 1000 person-years), and risk ratio (with 95% CIs) for diabetes incidence. A total of 1972 articles were identified through the initial search conducted in August 2023. After excluding duplicates, conducting title and abstract screening, and completing full-text reviews, 41 articles were found to be eligible for inclusion. The search will be updated in July 2024. Currently, data extraction is underway, and the meta-analysis is expected to be completed in August 2024. Publication of the study findings is anticipated by the end of 2024. The study findings should provide valuable insights to inform both clinical practice and public health policies regarding the effective management of new-onset diabetes in patients with long COVID. DERR1-10.2196/54853.

Trends in antidiabetes medication use among hospitalised patients with type 2 diabetes: a retrospective single-centre cohort study

ObjectivesNovel antidiabetes medications with proven cardiovascular or renal benefit, such as sodium-glucose cotransporter-2 inhibitors (SGLT-2i) and glucagon-like peptide 1 receptor agonists (GLP-1 RA), have been introduced to the market. This...

Living with diabetes in Northeast India: An exploration of psychosocial factors in management

PurposeIndia is the ‘Diabetes Capital of the World’ and accounts for one in seven adults living with diabetes worldwide. Psychosocial, economic, and cultural correlates of disease have important implications for disease management but are rarely explored in India. The purpose of this study is to address psychosocial and cultural factors in diabetes management in the northeastern region of India which has a high disease burden. MethodsThis study attempts to explore the psychosocial and lived experience of diabetes in the northeastern state of Meghalaya. The sample was selected from individuals attending an outpatient facility of a multi-speciality clinic. Semi-structured interviews were conducted with 25 individuals (13 women and 12 men), above the age of 40 years, who had been diagnosed with diabetes for at least 6 months. The narratives were analysed using thematic analysis. ResultsUsing the social cognitive framework, themes were organized in terms of a thematic map linking knowledge of diabetes to the perception of diabetes as ‘a silent killer’, to coping, leading to self-efficacy. However high self-efficacy, over time, may lead to complacency, disrupting health behaviours and requiring re-establishment of those behaviours. Adequate knowledge along with cognitive adaptation and self-efficacy were important constructs that contributed to behaviour change and maintenance. Elements of the cultural context were observed in the spiritual aspects of adaptation, the socially isolating consequences of diabetes, as well as gender differences in social support and management. ConclusionUnderstanding the lived experiences of patients contributes to planning more effective interventions keeping the social and cultural context in mind for more effective management of diabetes. Additionally, acknowledging and supporting women's needs in diabetes management is called for.

Exploratory insights into prefrontal cortex activity in continuous glucose monitoring: findings from a portable wearable functional near-infrared spectroscopy system.

The escalating global prevalence of diabetes highlights an urgent need for advancements in continuous glucose monitoring (CGM) technologies that are non-invasive, accurate, and user-friendly. Here, we introduce a groundbreaking portable wearable functional near-infrared spectroscopy (fNIRS) system designed to monitor glucose levels by assessing prefrontal cortex (PFC) activity. Our study delineates the development and application of this novel fNIRS system, emphasizing its potential to revolutionize diabetes management by providing a non-invasive, real-time monitoring solution. Fifteen healthy university students participated in a controlled study, where we monitored their PFC activity and blood glucose levels under fasting and glucose-loaded conditions. Our findings reveal a significant correlation between PFC activity, as measured by our fNIRS system, and blood glucose levels, suggesting the feasibility of fNIRS technology for CGM. The portable nature of our system overcomes the mobility limitations of traditional setups, enabling continuous, real-time monitoring in everyday settings. We identified 10 critical features related to blood glucose levels from extensive fNIRS data and successfully correlated PFC function with blood glucose levels by constructing predictive models. Results show a positive association between fNIRS data and blood glucose levels, with the PFC exhibiting a clear response to blood glucose. Furthermore, the improved regressive rule principal component analysis (PCA) method outperforms traditional PCA in model prediction. We propose a model validation approach based on leave-one-out cross-validation, demonstrating the unique advantages of K-nearest neighbor (KNN) models. Comparative analysis with existing CGM methods reveals that our paper's KNN model exhibits lower RMSE and MARD at 0.11 and 8.96%, respectively, and the fNIRS data were highly significant positive correlation with actual blood glucose levels (r = 0.995, p < 0.000). This study provides valuable insights into the relationship between metabolic states and brain activity, laying the foundation for innovative CGM solutions. Our portable wearable fNIRS system represents a significant advancement in effective diabetes management, offering a promising alternative to current technologies and paving the way for future advancements in health monitoring and personalized medicine.

Comparison of Glycated Hemoglobin (Hba1c%) between High Performance Liquid Chromatography (HPLC) and Non-HPLC Methodology

Background: Glycated hemoglobin (HbA1c) serves as a pivotal marker for the long-term management of glucose levels in patients with diabetes. Accurate measurement of HbA1c is crucial for effective diabetes management and prevention of associated complications. While High-Performance Liquid Chromatography (HPLC) is widely used, non-HPLC methods have also gained popularity due to their simplicity and cost-effectiveness. Discrepancies in measurement between these methods have been a concern, impacting clinical decisions. Objective: The objective of this study was to compare the measurement of HbA1c% using HPLC and non-HPLC methods in a cohort of diabetic patients, evaluating the consistency and reliability of these methodologies. Methods: A cross-sectional study was conducted at Hayatabad Medical Complex, MTI, Peshawar from November 2023 to March 2024. A total of 65 diabetic patients aged between 18 and 70 years were enrolled. Participants were excluded if they had conditions known to affect HbA1c measurement. HbA1c levels were measured using both HPLC and non-HPLC methods. Statistical analysis was performed using SPSS version 25, employing t-tests to compare the mean HbA1c levels and Bland-Altman analysis to assess agreement between the two methods. Results: The HPLC method showed a mean HbA1c% of 8.2 (SD = 1.4) while the non-HPLC method showed a mean HbA1c% of 7.6 (SD = 1.3). The Bland-Altman analysis indicated that 91.5% of the values fell within the limits of agreement, suggesting substantial agreement between the methods. The mean difference in HbA1c% between methods was 0.6%, with limits of agreement from -0.3 to 1.5. Conclusion: Both HPLC and non-HPLC methods provided reliable HbA1c measurements, with a high degree of agreement. Despite minor discrepancies in mean values, both methodologies are suitable for the clinical monitoring of glycemic control in diabetic patients. Further studies with larger sample sizes and multiple centers are recommended to validate these findings.

Promoting lifestyle changes in patients with prediabetes from African-Caribbean backgrounds in the United Kingdom

ABSTRACT Objectives Diabetes is a non-communicable disease where the patient’s glucose level in the blood is too high. Diabetes is prevalent among ethnic minority groups in the United Kingdom (UK). Type 2 diabetes is a major cause of premature mortality in England. Unfortunately, the lifestyle of these minority groups has become a barrier to diabetes healthcare treatment. The timely intervention of programmes targeting risk factors associated with diabetes may reduce the prevalence of diabetes among these ethnic minority groups. This review critically explores and identifies barriers that hinder specific African-Caribbean groups from accessing diabetes healthcare and how nurses can promote lifestyle changes in patients with prediabetes from African-Caribbean backgrounds. Design An extended literature review (ELR). The process consisted of a search of key databases and other nursing and public health journal articles with the keywords defined in this extended review (prediabetes, diabetes, lifestyle of Afro-Caribbean). Thematic analysis is then applied from a socio-cultural theoretical lens to interpret the selected articles for the review. Results Three main barriers were identified: (a) the strong adherence to traditional diets, (b) a wrong perception about diet management and (c) ‘Western medication’ as a key barrier that hinders effective diabetes management in ethnic minorities, including the African-Caribbean in the UK. Conclusion To address these barriers, it is important for policymakers to prioritise well-tailored interventions for African-Caribbean groups as well as support healthcare providers with the requisite capacity to provide care.