Concentric remodeling and the metabolic-associated steatotic liver disease in patients with type 1 diabetes: an exploratory study.

INTRODUCTION: Diabetic cardiomyopathy in young patients with type 1 diabetes (T1D) usually presents as asymptomatic diastolic heart dysfunction with left ventricle (LV) remodeling. Its prevalence seems to be underestimated. One of the factors seemingly influencing LV remodeling is a metabolic-associated steatotic liver disease (MASLD), which was extensively investigated in patients with type 2 diabetes but not with T1D. This study aimed to describe the correlation between MASLD risk and relative wall thickness (RWT) in young patients with T1D without heart failure symptoms or treatment. MATERIALS AND METHODS: Study participants were recruited at the inpatient diabetology department, in admission order. Patients underwent a set of laboratory tests and echocardiographic examinations. The risk of MASLD was estimated using fatty liver index (FLI). Acquired data was then statistically analyzed. RESULTS: The study group consisted of 55 patients. 25 participants had RWT > 0.42, suggesting LV remodeling. Study participants did not differ in HbA1c, NT-proBNP, HDL, LDL, non-HDL, and uric acid concentrations. However, patients with RWT > 0.42 had higher FLI (40.97 vs. 13.82, p < 0.01) and BMI (27.3 vs. 22.5, p < 0.01) and differed in transaminase concentrations. Moreover, patients with RWT > 0.42 had significantly higher LV mass index (85.6 vs. 68.2 g/m2) and altered mitral ring velocities. In univariable logistic regression, FLI correlated with LV remodeling risk (OR 1.028, p = 0.05). The optimal cutoff point for FLI predicting the RWT > 0.42 was 26.38 (OR 10.6, p = 0.04, sensitivity 0.857, specificity 0.657). CONCLUSIONS: FLI correlates with RWT in patients with T1D independently of diabetes metabolic control and hypothetically may support recognizing T1D patients with a higher risk of LV remodeling.

Advances in Type 1 Diabetes Mellitus Management in Children.

Recent advancements in the management of type 1 diabetes mellitus (T1DM) have significantly improved outcomes and quality of life for patients, particularly children. Technological innovations, such as continuous glucose monitoring (CGM) systems and insulin pump therapy, including hybrid closed-loop systems, have enhanced glycemic control by providing real-time data and automated insulin delivery. Ultrarapid-acting insulins and adjunctive pharmacotherapies, like sodium-glucose transport protein 2 (SGLT2) inhibitors and glucagon-like peptide 1 (GLP-1) receptor agonists, offer improved postprandial glucose management and reduced insulin requirements. Immunotherapy and beta-cell replacement therapies, including stem cell research and encapsulation devices, aim to preserve or restore endogenous insulin production. Digital health platforms and telemedicine have expanded access to education and support, fostering better self-management. Future directions in precision medicine, artificial intelligence, and microbiome research hold promise for personalized and potentially curative treatments. Collectively, these advances are transforming T1DM management, reducing disease burden, and enhancing the prospects for children with T1DM.

Computational techniques to monitoring fractional order type-1 diabetes mellitus model for feedback design of artificial pancreas.

BACKGROUND AND OBJECTIVES: In this paper, we developed a significant class of control issues regulated by nonlinear fractal order systems with input and output signals, our goal is to design a direct transcription method with impulsive instant order. Recent advances in the artificial pancreas system provide an emerging treatment option for type 1 diabetes. The performance of the blood glucose regulation directly relies on the accuracy of the glucose-insulin modeling. This work leads to the monitoring and assessment of comprehensive type-1 diabetes mellitus for controller design of artificial panaceas for the precision of the glucose-insulin glucagon in finite time with Caputo fractional approach for three primary subsystems. METHODS: For the proposed model, we admire the qualitative analysis with equilibrium points lying in the feasible region. Model satisfied the biological feasibility with the Lipschitz criteria and linear growth is examined, considering positive solutions, boundedness and uniqueness at equilibrium points with Leray-Schauder results under time scale ideas. Within each subsystem, the virtual control input laws are derived by the application of input to state theorems and Ulam Hyers Rassias. RESULTS: Chaotic Relation of Glucose insulin glucagon compartmental in the feasible region and stable in finite time interval monitoring is derived through simulations that are stable and bounded in the feasible regions. Additionally, as blood glucose is the only measurable state variable, the unscented power-law kernel estimator appropriately takes into account the significant problem of estimating inaccessible state variables that are bound to significant values for the glucose-insulin system. The comparative results on the simulated patients suggest that the suggested controller strategy performs remarkably better than the compared methods. CONCLUSION: In the model under investigation, parametric uncertainties are identified since the glucose, insulin, and glucagon system's parameters are accurately measured numerically at different fractional order values. In terms of algorithm resilience and Caputo tracking in the presence of glucagon and insulin intake disturbance to maintain the glucose level. A comprehensive analysis of numerous difficult test issues is conducted in order to offer a thorough justification of the planned strategy to control the type 1 diabetes mellitus with designed the artificial pancreas.

Auto-immuno-deficiency syndromes.

Autoimmune diseases constitute a broad, heterogenous group with many diverse and often overlapping symptoms. Even so, they are traditionally classified as either systemic, rheumatic diseases or organ-directed diseases. Several theories exist about autoimmune diseases, including defective self-recognition, altered self, molecular mimicry, bystander activation and epitope spreading. While there is no consensus about these theories, it is generally accepted that genetic, pre-disposing factors in combination with environmental factors can result in autoimmune disease. The relative contribution of genetic and environmental factors varies between diseases, as does the significance of individual contributing factors within related diseases. Among the genetic factors, molecules involved in antigen (Ag) recognition, processing, and presentation stand out (e.g., MHC I and II) together with molecules involved in immune signaling and regulation of cellular interactions (i.e., immuno-phenotypes). Also, various immuno-deficiencies have been linked to development of autoimmune diseases. Among the environmental factors, infections (e.g., viruses) have attracted most attention, but factors modulating the immune system have also been the subject of much research (e.g., sunlight and vitamin D). Multiple sclerosis currently stands out due to a very strong and proven association with Epstein-Barr virus infection, notably in cases of late infection and in cases of EBV-associated mononucleosis. Thus, a common picture is emerging that both systemic and organ-directed autoimmune diseases may appropriately be described as auto-immuno-deficiency syndromes (AIdeSs), a concept that emphasizes and integrates existing knowledge on the role of immuno-deficiencies and chronic infections with development of overlapping disease syndromes with variable frequencies of autoantibodies and/or autoreactive T cells. This review integrates and exemplifies current knowledge on the interplay of genetically determined immuno-phenotypes and chronic infections in the development of AIdeSs.

Mauriac Syndrome: A Rare Condition With Cushingoid Feature and Hepatomegaly in Poorly Controlled Diabetes Mellitus Type 1.

Hepatic glycogenosis (HG) is a rare complication of poorly controlled type 1 diabetes mellitus (T1DM), in which glycogen accumulates in the hepatocytes. It can be caused by excessive insulin doses or recurrent ketoacidosis episodes. Mauriac's syndrome is a rare disease that includes short stature, growth maturation delay, dyslipidemia, moon facies, protuberant abdomen, and hepatomegaly with transaminase elevation. It is clinically classified into two varieties based on the presence or absence of obesity and cushingoid appearance. Clinical, laboratory, and histological abnormalities are reversible with appropriate glycemic control. Our case is a 17-year-old male who had been a known case of T1DM for 15 years and presented with complaints of blurring of vision, facial puffiness, frequent urination, breathlessness, and generalized abdominal pain. Patient examination revealed cushingoid facies, abdominal distension due to hepatomegaly, and stunted growth with an altered lipid profile. He showed a very high sugar reading and was admitted for diabetic ketoacidosis. He was explained the proper diet and insulin administration technique and discharged with proper insulin dosages. On management, he showed normalization of liver enzymes and improved fat distribution with normal liver size. Thus, Mauriac syndrome is a reversible glycogen storage disease that can be completely managed with strict and continuous glycemic control in prepubertal T1DM patients.

Health beyond biology: the extended health hypothesis and technology.

There are ethical dilemmas faced by clinicians when responding to using unregistered medical devices, such as innovative internet technologies for managing type 1 diabetes mellitus. This chronic disease significantly impacts patients' health, requiring intensive daily activities like blood glucose monitoring, insulin injections, and specific dietary recommendations. Recent technological advances, including continuous glucose monitors and insulin pumps, have been shown to improve glycemic control. Di-it Yourself Artificial Pancreas Systems are emerging open-source automated delivery methods initiated by the diabetes community, although they are not clinically evaluated and present a liability challenge for healthcare providers. To use them or not? Should parents and healthcare providers use such technology that helps, but is not proven?Having all of that in mind, we argue that the World Health Organization's (WHO) definition of health is outdated, advocating for the "Extended Health Hypothesis". This hypothesis claims that health extends beyond traditional biological boundaries to include essential functional structures like diabetes-related technology, making technology a part of a patient's health. This view aligns with the "Extended Mind Hypothesis," suggesting that health should include elements beyond organic material if they are vital to a patient's functions.In the commentary, we highlight that both naturalist and normative conceptions of health support the extended health hypothesis, emphasizing that human health is not confined to organic material. This perspective raises critical questions about whether devices like insulin pumps and continuous glucose monitors are integral to a patient's health and whether their malfunction constitutes a form of disease. Devices are considered integral to health, there is no ethical dilemma in using unregistered medical devices for managing type 1 diabetes. Finally, we call for reevaluating the definitions of health and patients, particularly for children with type 1 diabetes using advanced technologies. It asserts that the optimal use of such devices represents a new form of health, creating a health-device symbiosis that should be evaluated with the child's best interests in mind.

Assessing satisfaction, quality of life, and HbA1c changes in type 1 diabetes patients who are using freestyle libre glucose monitoring.

Introduction: Type 1 diabetes mellitus (T1DM) is a chronic auto-immune disease in which loss of pancreatic islet ß-cells leads to the deficiency of insulin in the body thus resulting in enhanced blood sugar levels. Effective blood glucose monitoring is crucial in T1DM management to prevent complications, particularly hypoglycemia. Method: The study adopted a cross-sectional survey to assess satisfaction and quality of life among T1DM patients using the freestyle libre continuous glucose monitoring (FSL-CGM), and a retrospective cohort study design to evaluate changes in HbA1c over a year. Result: The study involved 98 Saudi subjects, with 46.9% (n = 46) being male. The results indicated a high level of user satisfaction, with more than 85% of the participants responding positively, yielding a total satisfaction score of 30.86. User satisfaction with FSL-CGM was found to be significantly associated with the level of education. The use of FSL-CGM was also found to significantly improve the patients' quality of life. However, the levels of HbA1c had an impact on both satisfaction and quality of life. Before using the FSL-CGM system, the mean HbA1c was 9.83%, which significantly decreased to 8.63% after using the system (P-value <0.001). Conclusion: The study's findings align with previous literature on satisfaction and quality of life, but there are conflicting results regarding the reduction of HbA1c levels using FSL-CGM. Given the limited sample size, future research could explore the topic more comprehensively, potentially utilizing a longitudinal study design to better measure changes in HbA1c level.

Celiac Disease and Autoimmune Diseases in a Pediatric Population in Morocco: A Cross-Sectional Study.

INTRODUCTION: Celiac disease (CD) is defined as an autoimmune disease (AD) caused by gluten ingestion in genetically sensitive individuals. Several publications have demonstrated the increased risk of AD in patients with CD, both adults and children, which requires systematic research. Our study aimed to determine the prevalence of AD in 60 patients diagnosed with CD and to highlight risk factors that may contribute to the emergence of AD. MATERIALS AND METHODS: We collected medical data from all CD patients under 16 years of age who also had AD. Our study was conducted in the Gastroenterology-Hepatology and Pediatric Nutrition Unit of the Pediatrics Department of the Mohamed VI Hospital and University Center in Oujda, Morocco, during a seven-year period between January 2017 and January 2024. RESULTS: We studied 60 patients with CD in our study. Eight patients (13%) had an associated AD. Their average age was eight years, with extremes varying between two and 15 years. AD was diagnosed before CD in six cases (75%), in parallel with CD in one patient (12.5%), while in only one case, it was diagnosed after CD (12.5%). All our patients had a single AD associated with CD. These ADs were mainly type 1 diabetes in seven cases and autoimmune thyroiditis in only one case. All our patients followed a gluten-free diet in addition to specific treatment for associated AD. Nevertheless, despite regular medical follow-up and targeted dietary advice for the management of CD and associated AD, three patients encountered difficulties in following the recommended diet. CONCLUSION: Younger patients with CD have an increased risk of hypothyroidism and insulin-dependent diabetes. These data necessitate improved surveillance to discover these illnesses as early as possible in order to optimize management and reduce related consequences.

Persistent Hypoglycemia in Diabetes Type 1 Patient with Medtronic 780 G Insulin Pump: A Case Report.

INTRODUCTION: In this article, the importance of holistic care is highlighted trough the case of a 10-year-old female with diabetes type 1 presenting with recurrent severe hypoglycemia. CASE PRESENTATION: A 10-year-old female, with type 1 diabetes mellitus for 2 years, was hospitalized because of persistent hypoglycemia. At time of presentation, the patient was getting her insulin through an automated insulin delivery device. She came to the emergency room because of severe hypoglycemia despite adequate administration of glucagon intranasal and oral sugar solutions. The patient was hospitalized to resolve the hypoglycemia and to investigate the cause of the persistent hypoglycemia. Extensive further investigation was performed without result. CONCLUSION: After several conversations with psychologists, the patient admitted having manipulated the insulin pump resulting in auto-induced persistent and recurrent life-threatening hypoglycemia. Through camera monitoring, the team was able to confirm the manipulation.

Association between perinatal and obstetric factors and early age at diagnosis of type 1 diabetes mellitus: a cohort study.

OBJECTIVES: To evaluate the association between perinatal and obstetric factors as potential triggers for the early onset of T1DM. METHODS: This was a retrospective cohort study enrolling 409 patients diagnosed with T1DM, in Bauru, São Paulo, Brazil, from 1981 to 2023. Data were retrieved from medical records, regarding sociodemographic parameters as age, sex, ethnicity, and socioeconomic status. Perinatal and obstetric factors as delivery type, gestational age, filiation order, length of exclusive breastfeeding, maternal age, maternal and fetal blood types, and occurrence of maternal gestational diabetes were also analyzed. An adapted survival analysis was employed to gauge the impact of each assessed variable at the age of T1DM diagnosis. RESULTS: The median age of T1DM diagnosis was 10.3 years with an interquartile range between 6.4 and 15.5 years. Delivery type and filiation order were the only factors statistically significantly associated with an early age at T1DM diagnosis. Patients who were born through cesarean section and who were firstborns showed a 28.6 and 18.0 % lower age at T1DM diagnosis, respectively, compared to those born through vaginal delivery and those that were nonfirstborns. CONCLUSIONS: Being born by cesarean section and being firstborn showed to be statistically significant factors to determine an early T1DM diagnosis.

Insulin resistance may accelerate typical changes in heart function among type 1 diabetes patients, particularly in overweight patients: a preliminary study.

Introduction: Type 1 diabetes (T1D) is a metabolic disease characterized by insulin deficiency and subsequent hyperglycemia. Cardiovascular diseases are the prime cause of mortality and morbidity among patients with T1D. Accumulating metabolic disturbances and accelerated cardiac fibrosis fuel the development of heart dysfunction. As insulin resistance (IR) is a risk factor for the development and worsened course of heart failure, this study aimed to assess its impact on heart function in patients with T1D. Methods: Adult participants were recruited prospectively. The inclusion criteria included a diagnosis of T1D. The exclusion criteria were other types of diabetes, symptoms/treatment of heart failure, AST and/or ALT exceeding the upper reference limit by ≥2x, hepatitis, alcoholism, metformin treatment, and pregnancy. The participants underwent a medical interview, physical examination, biochemical test, and echocardiography. Results: The mean age in the study group was 38 ± 9.6 years, and the mean diabetes duration was 21.8 ± 11.3 years. The median BMI in the study cohort was 23.39 kg/m2. Patients with IR had significantly lower mitral E/A ratio and left ventricular and left atrial volume ratio (LVLAVR), higher LV mass index, and presented with altered mitral annular velocities. Conclusions: IR seems to accelerate the pattern of typical changes in heart function among patients with T1D, especially in the overweight subgroup.

Mental disorders in children and adolescents with type 1 diabetes before and during the COVID-19 pandemic: results from the DPV registry.

OBJECTIVES: The COVID-19 pandemic affected the mental health of children and adolescents in the general population, yet its impact on those with chronic conditions is relatively unknown. This study aimed to compare the incidences of comorbid mental disorders and substance misuse in children and adolescents with type 1 diabetes before and during the pandemic. METHODS: A total of 42,975 patients aged 6-18 years from the multicentre DPV (Diabetes Prospective Follow-up) registry were included. Multivariable regression models were applied to compare newly diagnosed comorbid mental disorders, adjusted for demographic and clinical variables, among them the number of medical visits, during the pre-pandemic period (09/2017-02/2020) and the COVID-19 pandemic period (03/2020-08/2022). RESULTS: Analysing both sexes together, there were no differences in the incidence rates of overall mental disorders between the pandemic and the pre-pandemic period. However, girls showed an increased incidence rate (odds ratio 1.2, CI 1.1-1.3) during the pandemic. Adolescent girls also displayed higher incidence rates of depression, eating disorders, and self-harm. Substance misuse declined overall during the pandemic (odds ratio 0.8, CI 0.7-0.9). CONCLUSIONS: During the COVID-19 pandemic, we found higher incidence rates of overall mental disorders in girls, but not in boys and not in the total study population of children and adolescents with type 1 diabetes. Adolescent girls displayed increased incidence rates of depression, eating disorders, and self-harm. Substance misuse declined substantially. Clinicians should be aware of the high-risk group of adolescent girls during times of increased strain.

Effectiveness of Faster Aspart versus Insulin Aspart in Children with Type 1 Diabetes: A Meta-Analysis.

Background: Intensive insulin regimens are recommended to achieve glycemic goals in children and adolescents with type 1 diabetes. Fast-acting insulin aspart (faster aspart) is a new formulation of insulin aspart (IAsp) in which L-arginine and niacinamide are added to assure formulation stability, early absorption, and ultra-fast action. This meta-analysis compares faster aspart with IAsp for blood sugar control in children with type 1 diabetes. This study suggested treating diabetes with insulin, especially in children with type 1 diabetes. Methods: PubMed, MEDLINE, Embase, Cochrane Library, Web of Science, and Google Scholar were searched from 2000 to 2023 without language restrictions. Blood glucose monitoring, HbA1c, care model, insulin aspart, IAsp, faster aspart, type 1 diabetes, and pediatrics are Mesh keywords. Cochrane Q statistics and index tested heterogeneity. To account for heterogeneity, Q=145.99 (P-value < 0.001) and =97.26%, and the random-effect model was used to aggregate primary study results. The meta-analysis of randomized-controlled trials was conducted in accordance with PRISMA standards. Results: The overall estimate measure i.e. mean difference was found to be 5.44 [0.45, 10.44] and 7.71 [7.16, 8.26] which indicate significant reduction in the HbA1C level in the fast acting insulin aspart group as compared to the IAsp in T1D. However, the mean difference with respect to BMI was found to be -0.06 [-0.60, 0.48] which indicate non-significant reduction. Conclusion: Faster aspart had faster onset and more early exposure than IAsp in children and adolescents with greater and more variable anti-insulin antibody levels than adults did. Hence fast-acting insulin aspart may provide better glucose control than IAsp in T1D.

Correlation of Blood Urea and Creatinine Levels With Thiamin Levels in Type 1 and Type 2 Diabetic Patients.

Introduction Serum urea and creatinine levels are the most commonly recognized parameters for evaluating renal impairment in patients with diabetes mellitus (DM). Therefore, this study evaluated the correlation between urea and creatinine levels and thiamin levels in patients with type 1 DM (T1DM) and type 2 DM (T2DM). Methods This multi-center, cross-sectional study was conducted at diabetic outpatient clinics in Karachi. The duration of the study was six months, from 1st January 2023 to 30th June 2023. A total of 60 patients were enrolled and divided into two groups, i.e., T1DM and T2DM, each containing 30 patients of both genders between the ages of 24 and 42 years. Demographic data and biochemical variables, such as urea, creatinine, random blood sugar, fasting blood sugar, hemoglobin A1c, and serum thiamin levels, were assessed. The Mann-Whitney U test and independent t-test were used to associate the means between the two study groups. The chi-square test and Spearman's correlation coefficient were used to determine the associations between the variables and T1DM and T2DM. Results The study results revealed that patients with T2DM had a significantly higher frequency of hypertension (p = 0.039), neuropathy (p = 0.038), and coronary artery disease (p = 0.010) than those with T1DM, in both genders. The level of serum thiamin was found to be significantly higher (p < 0.001) in T2DM (14.8 ± 4.82) than in T1DM patients (7.34 ± 1.90). Similarly, serum creatinine was higher in T2DM than in T1DM patients (0.83 ± 0.12 vs. 0.76 ± 0.17, p = 0.025). Moreover, the correlation of urea and creatinine with thiamin levels in T1DM and T2DM patients revealed that in T1DM and T2DM patients, urea and creatinine showed an insignificant positive correlation with thiamin levels. Conclusion We found a significantly higher level of serum creatinine and thiamin levels in T2DM patients than in T1DM; however, there was no significant correlation between urea and creatinine levels and thiamin status in T1DM and T2DM patients. Therefore, we conclude that although serum urea, creatinine, and serum thiamin are important disease biomarkers in diabetic patients, there is no correlation between them.

An ecological resilience model for adolescents with type 1 diabetes: a cross-sectional study.

BACKGROUND: Highly resilient adolescents with type 1 diabetes have been proved to achieve within-target glycemic outcomes and experience high quality of life. The ecological resilience model for adolescents with type 1 diabetes was developed in this study. It aims to increase our understanding of how resilience is both positively and negatively affected by internal and environmental ecological factors. METHODS: This cross-sectional study surveyed 460 adolescents with type 1 diabetes from 36 cities in 11 provinces, China. Participants completed self-report questionnaires on resilience, family functioning, peer support, peer stress, coping style, and demographics. Standard glycated hemoglobin tests were performed on the adolescents. Structural equation modeling was applied to analyze the data. RESULTS: The ecological resilience model for adolescents with type 1 diabetes was a good model with a high level of variance in resilience (62%). Family functioning was the most important predictor of resilience, followed by peer support, positive coping, and peer stress. Moreover, positive coping was the mediator of the relationship between family functioning and resilience. Positive coping and peer stress co-mediated the association between peer support and resilience. CONCLUSIONS: Family functioning, peer relationships, and positive coping are interrelated, which may jointly influence resilience. The findings provide a theoretical basis for developing resilience-promotion interventions for adolescents with type 1 diabetes, which may lead to health improvements during a vulnerable developmental period.

Diagnosing Osteoporosis in Diabetes-A Systematic Review on BMD and Fractures.

PURPOSE OF REVIEW: Recently, the American Diabetes Association updated the 2024 guidelines for Standards of Care in Diabetes and recommend that a T-score of - 2.0 in patients with diabetes should be interpreted as equivalent to - 2.5 in people without diabetes. We aimed to evaluate the most recent findings concerning the bone mineral density (BMD)-derived T-score and risk of fractures related to osteoporosis in subjects with diabetes. RECENT FINDINGS: The dual-energy X-ray absorptiometry (DXA) scan is the golden standard for evaluating BMD. The BMD-derived T-score is central to fracture prediction and signifies both diagnosis and treatment for osteoporosis. However, the increased fracture risk in diabetes is not sufficiently explained by the T-score, complicating the identification and management of fracture risk in these patients. Recent findings agree that subjects with type 2 diabetes (T2D) have a higher T-score and higher fracture risk compared with subjects without diabetes. However, the actual number of studies evaluating the direct association of higher fracture risk at higher T-score levels is scant. Some studies support the adjustment based on the 0.5 BMD T-score difference between subjects with T2D and subjects without diabetes. However, further data from longitudinal studies is warranted to validate if the T-score treatment threshold necessitates modification to prevent fractures in subjects with diabetes.

The effect of bolus advisors on glycaemic parameters in adults with diabetes on intensive insulin therapy: A systematic review with meta-analysis.

AIM: To conduct a systematic review with meta-analysis to provide a comprehensive synthesis of randomized controlled trials (RCTs) and prospective cohort studies investigating the effects of currently available bolus advisors on glycaemic parameters in adults with diabetes. MATERIALS AND METHODS: An electronic search of PubMed, Embase, CINAHL, Cochrane Library and ClinicalTrials.gov was conducted in December 2022. The risk of bias was assessed using the revised Cochrane Risk of Bias tool. (Standardized) mean difference (MD) was selected to determine the difference in continuous outcomes between the groups. A random-effects model meta-analysis and meta-regression were performed. This systematic review was registered on PROSPERO (CRD42022374588). RESULTS: A total of 18 RCTs involving 1645 adults (50% females) with a median glycated haemoglobin (HbA1c) concentration of 8.45% (7.95%-9.30%) were included. The majority of participants had type 1 diabetes (N = 1510, 92%) and were on multiple daily injections (N = 1173, 71%). Twelve of the 18 trials had low risk of bias. The meta-analysis of 10 studies with available data on HbA1c showed that the use of a bolus advisor modestly reduced HbA1c compared to standard treatment (MD -011%, 95% confidence interval -0.22 to -0.01; I2 = 0%). This effect was accompanied by small improvements in low blood glucose index and treatment satisfaction, but not with reductions in hypoglycaemic events or changes in other secondary outcomes. CONCLUSION: Use of a bolus advisor is associated with slightly better glucose control and treatment satisfaction in people with diabetes on intensive insulin treatment. Future studies should investigate whether personalizing bolus advisors using artificial intelligence technology can enhance these effects.

Ensemble machine learning reveals key features for diabetes duration from electronic health records.

Diabetes is a metabolic disorder that affects more than 420 million of people worldwide, and it is caused by the presence of a high level of sugar in blood for a long period. Diabetes can have serious long-term health consequences, such as cardiovascular diseases, strokes, chronic kidney diseases, foot ulcers, retinopathy, and others. Even if common, this disease is uneasy to spot, because it often comes with no symptoms. Especially for diabetes type 2, that happens mainly in the adults, knowing how long the diabetes has been present for a patient can have a strong impact on the treatment they can receive. This information, although pivotal, might be absent: for some patients, in fact, the year when they received the diabetes diagnosis might be well-known, but the year of the disease unset might be unknown. In this context, machine learning applied to electronic health records can be an effective tool to predict the past duration of diabetes for a patient. In this study, we applied a regression analysis based on several computational intelligence methods to a dataset of electronic health records of 73 patients with diabetes type 1 with 20 variables and another dataset of records of 400 patients of diabetes type 2 with 49 variables. Among the algorithms applied, Random Forests was able to outperform the other ones and to efficiently predict diabetes duration for both the cohorts, with the regression performances measured through the coefficient of determination R2. Afterwards, we applied the same method for feature ranking, and we detected the most relevant factors of the clinical records correlated with past diabetes duration: age, insulin intake, and body-mass index. Our study discoveries can have profound impact on clinical practice: when the information about the duration of diabetes of patient is missing, medical doctors can use our tool and focus on age, insulin intake, and body-mass index to infer this important aspect. Regarding limitations, unfortunately we were unable to find additional dataset of EHRs of patients with diabetes having the same variables of the two analyzed here, so we could not verify our findings on a validation cohort.

Rilparencel (Renal Autologous Cell Therapy-REACT®) for Chronic Kidney Disease and Type 1 and Type 2 Diabetes: Phase 2 Trial Design Evaluating Bilateral Kidney Dosing and Redosing Triggers.

INTRODUCTION: Autologous cell-based therapies (CBT) to treat chronic kidney disease (CKD) with diabetes are novel and can potentially preserve renal function and decelerate disease progression. CBT dosing schedules are in early development and may benefit from individual bilateral organ dosing and kidney-dependent function to improve efficacy and durability. The objective of this open-label, phase 2 randomized controlled trial (RCT) is to evaluate participants' responses to rilparencel (Renal Autologous Cell Therapy-REACT®) following bilateral percutaneous kidney injections into the kidney cortex with a prescribed dosing schedule versus redosing based on biomarker triggers. METHODS: Eligible participants with type 1 or 2 diabetes and CKD, eGFR 20-50 mL/min/1.73 m2, urine albumin-to-creatinine ratio (UACR) 30-5,000 mg/g, hemoglobin >10 g/dL, and glycosylated hemoglobin <10% were enrolled. After a percutaneous kidney biopsy and bioprocessing ex vivo expansion of selected renal cells, participants were randomized 1:1 into two cohorts determined by the dosing scheme. Cohort 1 receives 2 cell injections, one in each kidney 3 months apart, and cohort 2 receives one injection and the second dose only if there is a sustained eGFR decline of ≥20 mL/min/1.73 m2 and/or UACR increase of ≥30% and ≥30 mg/g, confirmed by re-testing. CONCLUSION: The trial is fully enrolled with fifty-three participants. Cell injections and follow-up clinical visits are ongoing. This multicenter phase 2 RCT is designed to investigate the efficacy and safety of rilparencel with bilateral kidney dosing and compare two injection schedules with the potential of preserving or improving kidney function and delaying kidney disease progression among patients with stages 3a-4 CKD with diabetes.

Assessing the uptake of the type 1 diabetes core outcome set in randomized controlled trials: A Cross-Sectional study.

AIMS: This study analyzed uptake of the core outcome set (COS) for type 1 diabetes (T1D) and trends in its use before and after its development in December 2017. METHODS: On June 26, 2023, ClinicalTrials.gov was systematically searched for T1D randomized controlled trials. The Core Outcome Measures in Effectiveness Trials (COMET) database provided a COS of eight key outcomes for analysis. Included trials were analyzed for COS uptake before and after its release in December 2017 in a masked, duplicate fashion by independent reviewers. We also calculated the proportion of trials that measured the complete COS and assessed the most frequently reported COS outcomes. RESULTS: Of 3,792 originally screened articles, 144 RCTs were included in the final sample. Following COS publication, its use steadily decreased. Within the COS, HbA1c and severe hypoglycemia were most frequently implemented as endpoints; other recommended outcomes were rarely used in the published trials. CONCLUSION: Despite the 2017 T1D COS publication, use has decreased over time. This inconsistency negatively influences evidence-based practices and care. Educating researchers on COS and promoting uptake is crucial. Wider COS adoption in T1D trials could enhance clinical research overall. Further study of barriers and facilitators influencing uptake is essential to support consistent use and reporting.