Indicator Of Glycemic Control Research Articles

Association of serum uric acid levels with glycated haemoglobin in diabetic patients and healthy controls

ABSTRACT Introduction: Uric acid is formed from purine degradation. Hyperuricemia has emerged as a risk factor for various metabolic diseases including Diabetes mellitus (DM). Uric acid may act as a glucometabolic indicator for Type 2 Diabetes mellitus (T2DM). Glycated haemoglobin (HbA1c) is an indicator of long-term glycaemic control used for diagnosing and monitoring T2DM. However, the association between HbA1c and uric acid is controversial. The present study aimed to study the association of serum uric acid (SUA) levels with HbA1c. Materials and Methods: This cross-sectional comparative study was conducted in a Tertiary Care Hospital in Northern India after permission from the institutional Ethical committee. The study included patients attending the Outpatient Department of the hospital during the study period. Diagnosed cases of DM as per World Health Organization criteria were included as cases. Controls comprised of apparently healthy subjects of the age group 18–50 years attending OPD Patients and Health Care workers. Both cases and control were divided into two groups those with normal uric acid levels and the hyperuricemia group in both males and females to study the association between HbA1c and uric acid levels. Results: The study constituted 1460 participants of which 880 control and 580 DM. The overall prevalence of hyperuricemia was 17.8%. HUA prevalence was 17.04%–18.9% in the control and diabetic population, respectively. SUA levels in T2DM patients were negatively correlated with glycated HbA1c, and FBS whereas positively correlated with glycated HbA1c in controls. Conclusion: While non-diabetic individuals tend to exhibit higher SUA levels, a decreasing trend has been observed in diabetic individuals. A negative association was observed between SUA level and HbA1c in DM in contrast to controls. Therefore, the utilization of SUA as a marker for assessing glucose metabolism should be approached with careful consideration taking care of these complex dynamics.

Hypomagnesaemia and Relationship Lipid Profile in Type 2 Diabetes Patients at Janzur Hospital in Libya.

Type 2 diabetes mellitus (T2DM) is associated with increased morbidity and mortality due to the development of complications, especially due to poor glycemic control. Magnesium (Mg) is a crucial element in human health, and its deficiency plays a critical role in the development of lipid abnormalities and the initiation of diabetic complications. The study aimed to evaluate the correlation of hypomagnesemia (Mg) with the alteration of lipid profile patterns and investigate the adverse effects of glycemic control and body mass index (BMI) on magnesium levels among patients with T2DM. A total of 163 subjects whose ages ranged between 35-60 years for both sexes (males and females) were included in this study: 90 type II diabetic patients (40 males and 50 females) and 73 healthy individuals (34 males and 39 females) in Tripoli region, Western Libya. Blood glucose, HbA1c, Magnesium, and lipid profile parameters were biochemically estimated in the study along with the measurement of BMI. All the results were statistically analyzed using SPSS version 25 for applying one-way ANOVA and Person's correlation coefficient tests. The study revealed a significant decrease in serum magnesium levels (1.59 ± 0.47 mg/dL) in T2DM patients compared to the control group (2.21 ± 0.70 mg/dL) (p < 0.01). Significantly elevated levels of blood glucose (140.6 ± 30.95 mg/dL vs. 89.80 ± 12.62 mg/dL, p < 0.01), HbA1c (7.27 ± 2.62% vs. 5.32 ± 0.65%, p < 0.01), cholesterol, triglycerides and LDL cholesterol also observed in T2DM patients compared to healthy individuals. Conversely, HDL cholesterol levels were significantly lower in the T2DM group than in controls (24.44 ± 8.88 mg/dL vs. 47.06 ± 8.75 mg/dL, p < 0.01). There is a relationship between hypomagnesemia, glycemic control, and changed lipid profile in T2DM patients. Further, our results revealed a strong relationship between increased BMI and unfavorable alterations in all biochemical parameters examined.

7941 Comparison of Metformin with Inositol versus Metformin Alone in Women with Polycystic Ovarian Syndrome (PCOS): A Systematic Review and Meta Analysis of Randomized Controlled Trials

Abstract Disclosure: F.A. Kelly: None. A.D. Lôbo: None. I.B. Andrade: None. P.G. Lima: None. I.P. da Silva: None. M.C. Souza: None. V. Morbach: None. M.S. Barros: None. F.A. Moraes: None. M.B. Jardine: None. L.M. Lopes: None. M.P. Lima: None. M.G. Leite: None. R.Y. Ura Sudo: None. J.C. Cardoso: None. A.M. De Almeida: None. F.D. Pessôa: None. Metformin was the first medication targeting insulin resistance in PCOS, and it has been extensively studied as a metabolic treatment option. It addresses the chronic inflammatory state of PCOS and improves ovulation, metabolic parameters, and fertility.In recent years, inositols, specifically myo-inositol, and D-chiro-inositol, have emerged as potential treatment options for PCOS. These compounds act as a messenger for hormones, including insulin and follicle-stimulating hormones. Inositols effectively address insulin resistance and modulate the insulin signaling pathways.Although inositols have recently been included in the recommendations of the European Journal of Endocrinology's 2023 International evidence-based guideline for improvement in metabolic measures and considered with benefits in ovulation, hirsutism, and weight in patients with PCOS, the confidence in the available evidence supporting their use is considered to be limited. We aimed to perform a meta-analysis to understand the role of inositol, on glycemic control, LH/FSH ratio, hirsutism, HOMA-IR, and body mass index (BMI) in individuals with polycystic ovary syndrome (PCOS).PubMed, Embase, and Cochrane databases were systematically searched for RCTs comparing the use of metformin alone versus metformin and inositol in patients with polycystic ovary syndrome. Statistical analysis was performed in R software 4.3.1. A random-effects model was used to calculate the risk ratios (RRs) and mean differences (MDs) with 95% confidence intervals (CIs). A p-value of < 0.05 was considered statistically significant. Heterogeneity was examined with the Cochran Q test, prediction interval, and I² statistics. A total of 4 RCTs and 277 patients were included, of whom 138 were randomized to metformin alone and 139 to metformin plus myo-inositol. Compared with metformin alone, Myo-inositol plus Metformin significantly reduced hirsutism (MD -0.97; 95% CI -1.53; -0.40; p=0.0008) and LH/FSH ratio (MD -0.15; 95% CI -0.26, -0.03; p=0.02). There was no significant difference between groups for BMI (MD: 0.97; 95% CI -0.37, 2.32; p=0.16) and HOMA-IR (MD -0.17; 95% CI -0.35, 0.01; p=0.07).In this meta-analysis of RCTs of patients with polycystic ovary syndrome, inositol was associated with a reduction in hirsutism and LH/FSH ratio, compared with metformin monotherapy. Further studies are needed to clarify whether there are benefits for the use of inositol in PCOS treatment. Presentation: 6/3/2024

Effects of probiotics supplementation on glycemic profile in adults with type 2 diabetes mellitus: A grade-assessed systematic review and dose–response meta-analysis of randomized controlled trials

BackgroundDisturbed glycemia and the resulting type 2 diabetes (T2D) are significant health concerns. Various approaches have been examined to improve glycemic control in patients with T2D. Modification of gut microbiome via administering probiotics has been extensively studied. The present study aims to sum up the existing literature which investigated the effect of probiotics on glycemic indices in individuals with T2D in the format of randomized controlled trials (RCTs). MethodsOnline medical databases (PubMed, Scopus, and Web of Science) were searched from inception to January 2024. Eligible studies were included using pre-defined inclusion and exclusion criteria. Outcome variables included fasting blood sugar (FBS), insulin, hemoglobin A1c (HbA1c), and homeostatic model of insulin resistance (HOMA-IR). Weighted mean differences (WMDs) were estimated. Subgroup and dose-response analyses were conducted. P-values <0.05 were considered as statistically significant. ResultsOut of 5,636 records retrieved by the initial search, thirty-two RCTs were included in the final analyses. Supplementation with probiotics was observed to significantly improve indices of glycemic control; including FBS (WMD: -13.27 mg/dl; 95% CI: -18.31, -8.22), HbA1c (WMD: -0.44 %; 95% CI: -0.59, -0.28), insulin (WMD: -1.33 μIU/ml; 95% CI: -2.57, -0.08), and HOMA-IR (WMD: -0.95; 95% CI: -1.71, -0.18). Dose-response analysis revealed that increased duration of intervention results in a larger reduction only in FBS. ConclusionSupplementation with probiotics seems to improve indices of glycemic control. Nonetheless, taken into account the notable heterogeneity (with regard to dosage, duration, and the species/strains used) between the included studies and low quality of evidence, caution must be considered, especially when long-term clinical implications are intended.

Effects of glycaemic control on memory performance, hippocampal volumes and depressive symptomology

BackgroundDiabetes and poor glycaemic control have been shown to negatively impact cognitive abilities, while also raising risk of both mood disorders and brain structural atrophy. Sites of atrophy include the hippocampus, which has been implicated in both memory performance and depression. The current study set out to better characterise the associations between poor glycaemic control, memory performance, and depression symptoms, and investigate whether loss of hippocampal volume could represent a neuropathological mechanism underlying these.Methods1331 participants (60.9% female, age range 18–88 (Mean = 44.02), 6.5% with likely diabetes) provided HbA1c data (as an index of glycaemic control), completed a word list learning task, and a validated depression scale. A subsample of 392 participants underwent structural MRI; hippocampal volumes were extracted using FreeSurfer.ResultsPartial correlation analyses (controlling for age, gender, and education) showed that, in the full sample, poorer glycaemic control was related to lower word list memory performance. In the MRI sub-sample, poorer glycaemic control was related to higher depressive symptoms, and lower hippocampal volumes. Total hippocampus volume partially mediated the association between HbA1c levels and depressive symptoms.ConclusionsResults emphasise the impact of glycaemic control on memory, depression and hippocampal volume and suggest hippocampal volume loss could be a pathophysiological mechanism underlying the link between HbA1c and depression risk; inflammatory and stress-hormone related processes might have a role in this.

Effects of 12-weeks resistance training and vitamin E supplementation on aminotransferases, CTRP-2, and CTRP-9 levels in males with nonalcoholic fatty liver disease: a double-blind, randomized trial

BackgroundNonalcoholic fatty liver disease (NAFLD) involves excessive liver fat accumulation and is closely linked to oxidative stress, which contributes to liver inflammation and damage. This study aimed to evaluate how interventions such as resistance training (RT) and vitamin E supplementation (VES) can modulate markers of NAFLD and key proteins regulating glucose and lipid metabolism, such as C1Q/TNF-related proteins (CTRPs).MethodsForty participants with NAFLD (mean age: 32.4 ± 8.2 years) were randomly assigned to one of four groups for 12 weeks: placebo (PLB), VES, PLB + RT, and VES + RT. VES was administered at 800 IU/day in a double-blind manner. The RT regimen included eight exercises at 60–80% of one-repetition maximum (1RM), with three sets of 8–12 repetitions, performed three times per week. Pre- and post-intervention assessments included body composition, aspartate aminotransferase (AST), alanine aminotransferase (ALT), lipid profile, glycemic control, CTRP-2, CTRP-9, and 1RM evaluations.ResultsFollowing the interventions, there was a significant improvement in body composition, lipid profile, glycemic control, and 1RM indices in the exercise groups compared to non-exercise groups (p < 0.05). AST and ALT levels decreased in all groups (p < 0.05) compared to the PLB group. There was also a significant difference between the VES + RT group and both the VES and PLB + RT groups (p < 0.05). CTRP-2 and CTRP-9 levels decreased in the exercise groups compared to non-exercise groups (p < 0.05), and their changes showed a marked correlation with body composition, lipid profile, and glycemic control indices (p < 0.05).ConclusionsThis study highlights the benefits of RT on various health parameters among NAFLD patients. While adding VES to RT resulted in greater decreases in aminotransferases, it did not provide further improvements in other variables. Additionally, enhancements in body composition, lipid profile, and glycemic control indices were possibly associated with decreased levels of CTRPs.Trial registrationRegistered retrospectively in the Iranian Registry of Clinical Trials (IRCT20220601055056N1) on December 21, 2023. Access at https://irct.behdasht.gov.ir/trial/69231.

Iron Homeostasis-Related Parameters and Hepcidin/Ferritin Ratio: Emerging Sex-Specific Predictive Markers for Metabolic Syndrome.

Metabolic syndrome (MetS) is a worldwide public health challenge. Accumulating evidence implicates elevated serum ferritin and disruptions in iron metabolism as potential elements linked to an increased risk of MetS. This study investigates the relationship between iron homeostasis-including hepcidin levels, serum iron concentration, unsaturated iron-binding capacity (UIBC), and the hepcidin/ferritin (H/F) ratio-and MetS. In this descriptive cross-sectional study, 209 participants aged 24-70 were categorized into two groups: 103 with MetS and 106 without MetS. All participants underwent medical assessment, including anthropometric measures, indices of glycemic control, lipid profiles, and iron-related parameters. Participants were further stratified by the Homeostasis Model Assessment-Insulin Resistance index into three subgroups: insulin-sensitive (IS) (<1.9), early insulin resistance (EIR) (>1.9 to <2.9), and significant insulin resistance (SIR) (>2.9). Notable increments in serum ferritin and hepcidin were observed in the SIR group relative to the IS and EIR groups, with a significant association between metabolic parameters. The UIBC and serum ferritin emerged as significant predictors of MetS, particularly in men, with an area under the curve (AUC) of 0.753 and 0.792, respectively (p ≤ 0.001). In contrast, hepcidin was notably correlated with MetS in women, with an AUC of 0.655 (p = 0.007). The H/F ratio showed superior predictive capability for MetS across both sexes (at cutoff level = 0.67). Among women, this ratio had an AUC of 0.639 (p = 0.015), and for men, it had an AUC of 0.792 (p < 0.001). Hypertension proved an independent risk factor for MetS, affirming its role in metabolic dysregulation. The findings highlight a significant interconnection between iron homeostasis parameters and MetS, with sex-specific variations underscoring the importance of personalized diagnostic criteria. The crucial role of the H/F ratio and the UIBC as emerging predictive markers for MetS indicates their potential utility in identifying at-risk individuals. Further longitudinal research is essential to establish causality and explore the interplay between these biomarkers and MetS.

CLINICAL SIGNIFICANCE OF FLASH MONITORING GLYCEMIA INDICATORS IN CHILDREN WITH TYPE 1 DIABETES MELLITUS

One of the basic principles of the treatment of type 1 diabetes mellitus, along with insulin therapy and diet therapy, is regular self-monitoring of glycemia. Glucose meters are most often used for daily self-monitoring, and in recent years devices for continuous and flash monitoring of glycemia have been used. The article discusses the clinical aspects of the application of a glycemic monitoring system with periodic scanning (flash monitoring). The principle of operation of the system is described, as well as the main parameters obtained when using this system – time in the target range, time above and below the target range and their sub-ranges, an indicator of glycemic variability and an indicator of glycemic control, their normative levels, as well as their practical significance and relationship with the clinical aspects of the course of diabetes mellitus and the prognosis of chronic complications. The results of major international and domestic studies on the effectiveness of the flash monitoring system in different age groups are presented. The advantages of the second generation of flash glycemia monitoring sensors are described, and the results of clinical studies of the accuracy of this monitoring system in both children and adult patients with diabetes mellitus are presented.

Correlation Between Hemoglobin A1c (HbA1c) and High-Sensitivity C-Reactive Protein (hs-CRP) in Myocardial Infarction Patients and Their Six-Month Mortality Follow-Up.

Background Acute coronary syndrome (ACS), encompassing unstable angina (UA), non-ST-elevation myocardial infarction (NSTEMI), and ST-elevation myocardial infarction (STEMI), poses significant global health challenges because of its associated high mortality and morbidity rates. Vascular inflammation plays a crucial role in the pathogenesis of atherosclerosis, and it is often assessed using biomarkers such as high-sensitivity C-reactive protein (hs-CRP). Hyperglycemia, common in myocardial infarction patients, is linked to increased complications and mortality, with glycosylated hemoglobin A1c (HbA1c) serving as a key indicator of long-term glycemic control. Objective This study investigates the correlation between hs-CRP and HbA1c levels in patients with acute myocardial infarction (AMI) and type 2 diabetes mellitus (T2DM) and evaluates their impact on six-monthmortality outcomes. Methods A prospective observational study was conducted with 80 patients diagnosed with AMI. Data collection included demographic information, medical history, clinical assessments, laboratory investigations (including hs-CRP and HbA1c levels), and imaging studies. Patients received standard treatment and were followed up for six months. Statistical analyses were performed to examine the relationships between hs-CRP, HbA1c, and clinical outcomes. Results Higher HbA1c levels at admission were significantly correlated with elevated hs-CRP levels (p < 0.05). Both biomarkers showed a reduction at six months, correlating with improved glycemic control and reduced inflammation. Each unit increase in HbA1c was associated with a 21% increase in the hazard of mortality, and, similarly, each unit increase in hs-CRP was associated with a 17% increase in the hazard of mortality. The positive correlation between HbA1c and hs-CRP suggests that HbA1c can serve as an independent marker for predictingmortality in this patient population. Conclusion The study demonstrates a significant correlation between hs-CRP and HbA1c levels in patients with AMI and T2DM, with both biomarkers serving as strong predictors of six-monthmortality. HbA1c, because of its positive correlation with hs-CRP, could be used as an independent marker for assessing the risk of adverse outcomes in these patients. These findings highlight the importance of managing both glycemic control and inflammation in diabetic patients with ACSs.

Autologous hematopoietic stem cell transplantation as a method of immune prevention of type 1 diabetes mellitus: possibilities and prospects

Type 1 diabetes mellitus (DM) is one of the most common autoimmune disease that is treated with lifelong insulin therapy. Non-target indicators of glycemic control, which are observed in 71% of patients, lead to the formation and progression of diabetes complications, early disability and mortality. In this regard, the search for new approaches to the treatment and prevention of type 1 DM seems to be relevant. Various methods of immunological prophylaxis for the development of type 1 DM have been studied, in particular, the use of monoclonal antibodies. Thus, in November 2022, teplizumab was approved to slow down the clinical progression of the stage of type 1 DM. The prospects for the use of new options for islet cell transplantation are being studied — in June 2023, an allogeneic donor β-cell transplant obtained from the pancreas of donors after death was approved. Another pathogenetically substantiated method for the prevention and treatment of autoimmune diseases is high-dose immunosuppressive therapy with autologous hematopoietic stem cell transplantation (HDIT-HSCT). HDIT-HSCT demonstrated its effectiveness and cost-effectiveness in various clinical trials. This review provides up-to-date information on modern methods of immunological prophylaxis of type 1 DM.

Metformin Use in the First Trimester of Pregnancy and Risk for Nonlive Birth and Congenital Malformations: Emulating a Target Trial Using Real-World Data.

Metformin is a first-line pharmacotherapy for type 2 diabetes, but there is limited evidence about its safety in early pregnancy. To evaluate the teratogenicity of metformin use in the first trimester of pregnancy. In an observational cohort of pregnant women with pregestational type 2 diabetes receiving metformin monotherapy before the last menstrual period (LMP), a target trial with 2 treatment strategies was emulated: insulin monotherapy (discontinue metformin treatment and initiate insulin within 90 days of LMP) or insulin plus metformin (continue metformin and initiate insulin within 90 days of LMP). U.S. Medicaid health care administration database (2000 to 2018). 12 489 pregnant women who met the eligibility criteria. The risk and risk ratio of nonlive births, live births with congenital malformations, and congenital malformations among live births were estimated using standardization to adjust for covariates. A total of 850 women were in the insulin monotherapy group and 1557 in the insulin plus metformin group. The estimated risk for nonlive birth was 32.7% under insulin monotherapy (reference) and 34.3% under insulin plus metformin (risk ratio, 1.02 [95% CI, 1.01 to 1.04]). The estimated risk for live birth with congenital malformations was 8.0% (CI, 5.7% to 10.2%) under insulin monotherapy and 5.7% (CI, 4.5% to 7.3%) under insulin plus metformin (risk ratio, 0.72 [CI, 0.51 to 1.09]). Possible residual confounding by glycemic control and body mass index. Compared with switching to insulin monotherapy, continuing metformin and adding insulin in early pregnancy resulted in little to no increased risk for nonlive birth among women receiving metformin before pregnancy. Under conventional statistical criteria, anything between a 49% decrease and a 9% increase in risk for congenital malformations was highly compatible with our data. National Institutes of Health.

Time in range prediction using the experimental mobile application in type 1 diabetes

BACKGROUND: Time in range (TIR) is a promising indicator of glycemic control used for evaluation of continuous glucose monitoring (CGM) for patients with diabetes mellitus (DM). The current problem is the assessment and prediction of TIR for patients who use self-monitoring of blood glucose (SМBG) corresponding low CGM availability for the majority of diabetic patients.AIM: To develop a predictive model of TIR for patients with T1DM based on data of the experimental mobile application.MATERIALS AND METHODS: An analysis of 1253 professional CGM profiles of patients with T1DM was performed. On the base of included records, TIR(CGM) was calculated and training models of 7-point SMBG profiles were generated. SMBG profiles’re loaded into the developed experimental mobile application that calculated standard glycemic control parameters. The dataset was divided into main and test samples (80 and 20%). For the main sample, the following methods’re used to develop predictive models: simple linear regression (SLR), multiple linear regression (MLR), artificial neural network (ANN). The effectiveness of the developed models was assessed on the test sample with the calculation of the mean absolute error (MAE), the root mean square error (RMSE).RESULTS: The 568 CGM profiles’re included in the study. TIR in the main group (n=454) — 45 [33; 65]%, in the test group (n=114) — 43 [33; 58]%. The most significant predictors of the regression models were the derived TIR (dTIR), p&lt;0,001; derived time below range level 1 (dTBR1), p&lt;0,001; standard deviation of blood glucose (SD), p=0,007. Determination coefficient for SLR (predictor: dTIR) — 0,844; for MLR (predictors: dTIR, dTBR1, SD) — 0,907. ANN multilayer perceptron models with two and one hidden layers’re developed, with the RMSE on the validation set 4,617 and 6,639%, respectively. The results of the forecast efficiency on the test sample were: dTIR: MAE — 6,82%, RMSE — 8,60%; SLR: MAE — 5,66%, RMSE — 7,34%; MLR: MAE — 4,18%, RMSE — 5,28%; ANN (2 layers): MAE — 4,14%, RMSE — 5,19%; ANN (1 layer): MAE — 4,44%, RMSE — 5,52%.CONCLUSION: ANN with two hidden layers and MLR demonstrated the best ability for TIR prediction. Further studies are required for clinical validation of developed prognostic models.

Positive association of the anti-aging protein α-Klotho with insulin resistance and its inverse L-shaped relationship with glycaemic control in the middle-aged and elderly population.

α-Klotho has been linked to insulin resistance (IR) in basic research. However, experimental evidence is inconsistent, and there is a lack of data from human research. This study seeks to elucidate the association of α-Klotho with IR in a nationwide, multiracial population. A total of 5289 participants aged 40-79 years were included in the National Health and Nutrition Examination Survey (NHANES) spanning 2007-2016. Serum α-Klotho was measured using enzyme-linked immunosorbent assays (ELISA), and IR was evaluated by the homeostatic model assessment of insulin resistance (HOMA-IR). Weighted multivariate logistic and linear regression analysis, subgroup analysis stratified by demographic characteristics, medical condition or obesity status, and sensitivity analysis using propensity score matching (PSM) were performed. Restricted cubic splines (RCS) were performed to explore the nonlinear relationship. In the fully adjusted logistic regression model, a significant positive association was observed between log-transformed α-Klotho and IR (OR = 3.63, 95% CI: 1.56, 8.45), particularly in males or nonobese individuals (Pinteraction < 0.05). In the linear regression model, log10(α-Klotho) was associated with fasting blood glucose (FBG, β = 1.25, 95% CI: 0.74, 1.76) and glycosylated hemoglobin (HbA1c, β = 0.49, 95% CI: 0.20, 0.77). RCS revealed an inverse L-shaped dose-response relationship of α-Klotho with FBG and HbA1c (Pnonlinear <0.05). Beyond the inflection point of log10(α-Klotho) at 2.79, β coefficients sharply rose for these glycaemic control indicators. The study provides clinical evidence supporting a positive association between α-Klotho and IR. Moreover, the inverse L-shaped relationship suggests that α-Klotho should reach a certain level to predict glycaemic changes effectively.

Cross-sectional associations of self-perceived stress and hair cortisol with metabolic outcomes and microvascular complications in type 2 diabetes.

Increasing evidence supports chronic psychological stress as a risk factor for the development of type 2 diabetes. Much less is known, however, about the role of chronic stress in established diabetes. The aim of the current study was to comprehensively assess chronic stress in a sample of 73 patients with type 2 diabetes and 48 non-diabetic control participants, and to investigate associations with indicators of glycemic control (HbA1c), insulin resistance (HOMA-IR), β-cell functioning (C-peptide), illness duration, and the presence of microvascular complications. Chronic stress was measured using questionnaires [the Perceived Stress Scale (PSS), the Screening Scale of the Trier Inventory of Chronic Stress (SSCS), the Perceived Health Questionnaire (PHQ) as well as the Questionnaire on Stress in Patients with Diabetes-Revised (QSD-R)]; hair cortisol was used as a biological indicator. We found that patients with type 2 diabetes had higher levels of hair cortisol in comparison to the control group (F(1,112) = 5.3; p = 0.023). Within the diabetic group, higher hair cortisol was associated with a longer duration of the illness (r = 0.25, p = 0.04). General perceived stress did not show significant associations with metabolic outcomes in type 2 diabetes patients. In contrast, higher diabetes-related distress, as measured with the QSD-R, was associated with lower glycemic control (r = 0.28, p = 0.02), higher insulin resistance (r = 0.26, p = 0.03) and a longer duration of the illness (r = 0.30, p = 0.01). Our results corroborate the importance of chronic psychological stress in type 2 diabetes. It appears, however, that once type 2 diabetes has developed, diabetes-specific distress gains in importance over general subjective stress. On a biological level, increased cortisol production could be linked to the course of the illness.

Results of a retrospective study of the clinical efficacy and safety of insulin RinFast® in children with type 1 diabetes mellitus

BACKGROUND: The relevance of the study is justified by the fact that in recent years, the original insulin preparations have been replaced with biosimilars in the regions of the Russian Federation, but there are currently few studies describing the use of insulin biosimilars in children with type 1 diabetes mellitus (DM1), both in domestic and foreign sources.AIM: To evaluate the efficacy and safety insulin therapy with RinFast® (GEROPHARM LLC, Russia) as bolus therapy in combination with long-acting insulin and as monotherapy in an insulin pump in children with DM1 in real clinical practice.MATERIALS AND METHODS: The dynamics of HbA1c after 3 and 6 months, the change in daily insulin requirements, the fre quency of episodes of postprandial hyper- and hypoglycemia, adverse reactions at injection sites, the number of patients who reached the target values of HbA1c in children with DM1 who received RinFast® at least 6 months after the original analogue of insulin aspart were evaluated.RESULTS: The study was conducted in 50 children with DM1 from 1 to 18 years old (average age 9.8±4.6 years), with a duration of DM1 of more than 1 year (average duration 3.5±2.1 years), who had glycated hemoglobin (HbA1c) at the beginning of follow-up of no more than 9.5% and received biosimilar RinFast® for at least 6 months after the transfer from the original analogue of insulin aspart. Basic bolus insulin therapy in 36 children was carried out using multiple injections of insulin (MII), in 14 — continuous supply of insulin (NPI) using an insulin pump. The study resulted in HbA1c levels comparable to the baseline 3 and 6 months after the start of therapy with the RinFast® biosimilar (p=0.05), no changes in the daily ­insulin ­requirement (p=0.05) and no increase in the frequency of episodes of postprandial hyper- (p=0.05) and hypoglycemia (p=0.05) and adverse events (p=0.05). High adherence to treatment with the RinFast® biosimilar was noted.CONCLUSION: The results obtained indicate the absence of a clinically significant deterioration in glycemic control indicators after the transfer of children with DM1 to therapy with the RinFast® biosimilar, which makes it possible to use it safely and effectively in this category of patients.

Use of HbA1c as index of glycemic control and lipid profile in diabetic individuals

Use of HbA1c as index of glycemic control and lipid profile in diabetic individuals

Associations Between HbA1c and Glucose Time in Range Using Continuous Glucose Monitoring in Type 1 Diabetes: Cross-Sectional Population-Based Study.

Continuous glucose monitoring (CGM) introduces novel indicators of glycemic control. This cross-sectional study, based on the Swedish National Diabetes Register, examines 27,980 adults with type 1 diabetes. It explores the relationships between HbA1c (glycated hemoglobin) and various CGM-derived metrics, including TIR (time in range, representing the percentage of time within the range of 4-10mmol/l for 2weeks), TAR (time above range), TBR (time below range), mean glucose, standard deviation (SD), and coefficient of variation (CV). Pearson correlation coefficients and linear regression models were utilized for estimation. The analysis included 46% women, 30% on insulin pump, 7% with previous coronary heart disease and 64% with retinopathy. Mean ± SD values were age 48 ± 18years, diabetes duration 25 ± 16years, HbA1c 58.8 ± 12.8mmol/mol, TIR 58.8 ± 19.0%, TAR 36.3 ± 20.0%, TBR 4.7 ± 5.4%, mean sensor glucose 9.2 ± 2.0mmol/l, SD 3.3 ± 1.0mmol/l, and CV 36 ± 7%. The overall association between HbA1c and TIR was -0.71 (Pearson's r), with R2 0.51 in crude linear regression and 0.57 in an adjusted model. R2values between HbA1c and CGM mean glucose were 0.605 (unadjusted) 0.619 (adjusted) and TAR (unadjusted 0.554 and fully adjusted 0.568, respectively), while fully adjusted R2values were 0.458, 0.175 and 0.101 between HbA1c and CGM SD, CGM CV and TBR, respectively. This descriptive study demonstrates that the degree of association between HbA1c and new and readily available CGM-derived metrics, i.e., time in range (TIR), time above range (TAR), and CGM mean glucose, is robust in assessing the management of individuals with type 1 diabetes in clinical settings. Metrics from CGM that pertain to variability and hypoglycemia exhibit only weak correlations with HbA1c.

A CORRELATION STUDY OF BLOOD HBA1C WITH FASTING AND POSTPRANDIAL BLOOD GLUCOSE

Objectives: This study aimed to evaluate the correlation between raised blood sugar and glycated hemoglobin (HbA1c), a gold standard test for the assessment of glycemic control. Serial monitoring of HbA1C in diabetes mellitus helps in the prevention of microvascular and macrovascular complications. Methods: We retrospectively reviewed the laboratory reports of 397 patients who visited the hospital for various reasons. There were 195 males and 202 females in the study group. We evaluated the correlation between HbA1c and two indicators of glycemic control: fasting blood glucose (FBG) and postprandial blood glucose (PPBG). Results: Both FBG and PPBG showed a significant positive correlation with HbA1c. However, PPBG had a stronger correlation with HbA1c than FBG. The Spearman’s correlation coefficient (r) was 0.610 (p&lt;0.05) for FBG and HbA1c and 0.683 (p&lt;0.05) for PPBG and HbA1c. Conclusions: PPBG was a better predictor of HbA1c than FBG. PPBG may be an alternative marker of HbA1c for the management and monitoring of diabetes mellitus.

Interactive effects of low-volume interval exercise and nutrition on glycemic control.

Low-volume interval training has been demonstrated to improve indices of 24 h glycemic control using continuous glucose monitoring in individuals with or at risk for metabolic diseases. Nonetheless, there are inconsistencies in the literature with respect to the effects of interval exercise on 24 h glycemia, which may partly result from different nutritional conditions and/or controls adopted across various studies. This current opinion aims to provide a concise overview of the effects of acute and chronic interval exercise on 24 h glycemic control, while also describing how nutrition can influence and modify these responses. Given the distinct impact of dietary intake on blood glucose regulation, the adoption of diverse dietary control strategies during measurement of 24 h glycemia-spanning from using the participant's habitual diet to providing standardized meals customized to individual energy requirements-may contribute to varying conclusions across studies regarding the influence of interval exercise on 24 h glycemia. In addition, nutritional manipulations surrounding exercise, including whether interval exercise commences in the fasted or fed state, the macronutrient composition of post-exercise meals, and the presence of an energy and/or carbohydrate deficit among participants, offer important context when considering the effects of interval exercise on 24 h glycemia. Additional well-controlled studies are warranted to explore the interactive effects of interval exercise and nutrition on 24 h glycemia. These efforts will assist in refining exercise and nutrition recommendations aimed at improving glycemic control.

A study on the impact of Magnesium on the Glycemic regulation

Objectives: The present study was to evaluate the impact of magnesium on glycemic regulation and also evaluate the changes of glycemic control indicators in type 2 diabetes mellitus patients. Methods: A total of 50 subjects aged 30–60 years with the FBS of more than 126 mg/dL who had been recently diagnosed with T2D (maximum one year) and were being treated with antidiabetic drugs were enrolled in the present study. All the subjects were instructed to follow a prescribed diet plan for one week to stabilize their serum glucose level (30% of total energy as fat, 15% of energy as protein, and 55% of energy as carbohydrate-focused, from complex carbohydrates). Both groups were instructed to consume a healthy diet of fruits and vegetables (five serving per day), legumes, nuts and whole grains. The intervention group consisted of 25 participants who were on Mg supplementation for three months. The control group (25 participants) were not received any type of supplement throughout the intervention period. Body weight and height were measured to calculate body mass index (BMI). All measurements and indicators were taken at the base line (Pre) and after three months of intervention (post changes). Results: Mean age group of intervention and control group was not significant (p=0.118). In both group, males were more preponderance than females. When we compared the mean BMI, HbA1C, C-peptide (ng/mL), HOMA.?%, and Mg (mg/dL) between intervention and control group subjects respectively. P-value was found to be 0.512, 0.588, 0.117, 0.606, 0.317, and 0.235 respectively. Mean FBS of interventional group patients was significantly (p=0.011) reduced in post intervention as compared to pre intervention. While in control group, mean FBS was not significant differences (p=0.184). Mean Ca of interventional group subjects was extreme significantly (p&lt;0.0001) decreased in post intervention as compared to preintervention. While in control group subjects, mean Ca was not significantly decreased in post-test as compared to pre-test. In interventional group subjects, mean Mg was highly significantly (p=002) increased in post intervention as compared to pre intervention. While in control group subjects, mean Mg level was extreme significantly (p&lt;0.0001) reduced in post-test as compared to pre-test. Conclusions: Oral magnesium supplement significantly decreases the fasting blood sugar level. And it reduces the insulin resistance and improves the glycaemic control indicators in type 2 diabetes mellitus patients. Key words: Magnesium, glycaemic control indicators, type 2 diabetes mellitus.