Risk Factors For Diabetic Complications Research Articles

Association between within-target risk factors and life expectancy free from cardiovascular disease, cancer, and dementia in individuals with type 2 diabetes in New Zealand between 1994 and 2018: a multi-ethnic cohort study

BackgroundThe extent to which type 2 diabetes (T2D) reduces life expectancy depends on the risk of complications. We aimed to characterise the relationship between risk factors for diabetes complications and life expectancy, in individuals with T2D, free from major chronic disease, in a regional database linked with national New Zealand health databases.MethodsA prospective cohort study design was employed, analysing data from individuals with T2D drawn from the comprehensive Diabetes Care Support Service database (1994–2018). Participants with known values for all five within-target risk factors (WTRF +) including blood pressure, glycaemia, and LDL cholesterol, alongside being non-smoking with normal renal function at baseline, were included. Life expectancy free from cardiovascular disease (CVD), cancer, and dementia at age 50 years was estimated using multistate life tables, adjusting for demographics and clinical metrics.ResultsWomen and men with no WTRF + at enrolment had a life expectancy free from CVD, cancer, or dementia of 13.1 (95% confidence interval: 9.1–19.0) and 11.2 (6.7–18.6) years, respectively. For the most socioeconomically deprived groups or Māori with no WTRF + at baseline, life expectancies were markedly lower. Life expectancies were 23.7 (18.9–29.7) years for women and 23.2 years (17.2–31.4) years for men with four or five WTRF + at baseline, respectively. While an increasing number of WTRF + at baseline was significantly associated with improved outcomes in men and certain subgroups (e.g. Other ethnicity group), this trend was not statistically significant for women overall or in most subgroups.ConclusionsHaving multiple WTRF + at baseline is associated with a considerable increase in life expectancy free from major chronic disease among individuals with T2D. This highlights the importance of lifestyle and clinical interventions in the management of T2D and in the prevention and management of associated chronic conditions.

New insights on genetic background of major diabetic vascular complications

BackgroundBy 2045, it is expected that 693 million individuals worldwide will have diabetes and with greater risk of morbidity, mortality, loss of vision, renal failure, and a decreased quality of life due to the devastating effects of macro- and microvascular complications. As such, clinical variables and glycemic control alone cannot predict the onset of vascular problems. An increasing body of research points to the importance of genetic predisposition in the onset of both diabetes and diabetic vascular complications.ObjectivesPurpose of this article is to review these approaches and narrow down genetic findings for Diabetic Mellitus and its consequences, highlighting the gaps in the literature necessary to further genomic discovery.Material and methodsIn the past, studies looking for genetic risk factors for diabetes complications relied on methods such as candidate gene studies, which were rife with false positives, and underpowered genome-wide association studies, which were constrained by small sample sizes.ResultsThe number of genetic findings for diabetes and diabetic complications has over doubled due to the discovery of novel genomics data, including bioinformatics and the aggregation of global cohort studies. Using genetic analysis to determine whether diabetes individuals are at the most risk for developing diabetic vascular complications (DVC) might lead to the development of more accurate early diagnostic biomarkers and the customization of care plans.ConclusionsA newer method that uses extensive evaluation of single nucleotide polymorphisms (SNP) in big datasets is Genome-Wide Association Studies (GWAS).

Assessment of Correlation Between Glycaemic Variability Indices and Measures of Hypoglycaemia in Patients with Type 2 Diabetes Mellitus

Abstract Introduction: Diabetes mellitus is a global health burden, and India is regarded as the diabetes capital of the world. Glycaemic variability (GV) is an established risk factor for hypoglycaemia (plasma glucose concentration <70 mg/dL) and a notorious risk factor for diabetes complications. The primary aim of the study was to assess the correlation between the GV indices, HbA1c levels, and measures of hypoglycaemia in patients with type 2 DM (T2DM). Methods: In this cross-sectional study, continuous glucose monitoring (CGM) was done for a period of 14 days in T2DM patients (n = 50). The GV indices were determined from the readings obtained from the CGM monitor. Spearman’s rank correlation coefficient was used for correlation analyses. The area under the receiver operating characteristics (ROC) curve was used to assess the effectiveness of the various GV indices in predicting hypoglycaemia. Results: A total of 50 T2DM patients had a mean (SD) age of 61.84 ± 11.88 years. Among the GV indices, high blood glucose index (HBGI), average daily risk range (ADRR), and continuous overall net glycaemic action (CONGA) had a significantly positive correlation with HbA1c levels. Average episodes of nocturnal hypoglycaemia in 8 hours of night-time had a statistically significant negative correlation with the HbA1c levels (correlation coefficient: −0.301, P = 0.034). In addition, low blood glucose index (LBGI) was found to be the best predictor for the risk of hypoglycaemia in 24 hours and nocturnal hypoglycaemia. Conclusion: Various GV indices are associated with HbA1c levels and are better predictors of hypoglycaemia.

The relationship between weight-adjusted-waist index and diabetic kidney disease in patients with type 2 diabetes mellitus.

Obesity, particularly abdominal obesity, is seen as a risk factor for diabetic complications. The weight-adjusted-waist index (WWI) is a recently developed index for measuring adiposity. Our goal was to uncover the potential correlation between the WWI index and diabetic kidney disease (DKD) risk. This cross-sectional study included adults with type 2 diabetes mellitus (T2DM) who participated in the NHANES database (2007-2018). The WWI index was calculated as waist circumference (WC, cm) divided by the square root of weight (kg). DKD was diagnosed based on impaired estimated glomerular filtration rate (eGFR<60 mL/min/1.73m2), albuminuria (urinary albumin to urinary creatinine ratio>30 mg/g), or both in T2DM patients. The independent relationship between WWI index and DKD risk was evaluated. A total of 5,028 participants with T2DM were included, with an average WWI index of 11.61 ± 0.02. As the quartile range of the WWI index increased, the prevalence of DKD gradually increased (26.76% vs. 32.63% vs. 39.06% vs. 42.96%, P<0.001). After adjusting for various confounding factors, the WWI index was independently associated with DKD risk (OR=1.32, 95%CI:1.12-1.56, P<0.001). The area under the ROC curve (AUC) of the WWI index was higher than that of body mass index (BMI, kg/m2) and WC. Subgroup analysis suggested that the relationship between the WWI index and DKD risk was of greater concern in patients over 60 years old and those with cardiovascular disease. Our findings suggest that higher WWI levels are linked to DKD in T2DM patients. The WWI index could be a cost-effective and simple way to detect DKD, but further prospective studies are needed to confirm this.

Macronutrient Intake and Association with the Risk Factors of Diabetic Complications among People with Type 2 Diabetes Mellitus in Al-Madinah Al-Munawara

BACKGROUND: Worldwide, Type 2 diabetes mellitus (T2DM) is a leading cause of morbidity and mortality. There is little research on the relationship between T2DM problems and daily macronutrient intake in Saudi Arabia, particularly in Al-Madina Al-Munawara. AIM: This study aimed to investigate the relationship between T2DM complications and daily carbohydrate, protein, and fat intake in T2DM patients. MATERIALS AND METHODS: A cross-sectional study was conducted on 138 T2DM patients in Al-Madina Al-Munawara City, Saudi Arabia. The data were collected using a questionnaire that was published on social media. The macronutrient data were collected by a 24-h dietary recall questionnaire on 2 non-consecutive days. Appropriate statistical tests were done, and univariate and multivariate logistic regression were used to examine the association of macronutrient intake with diabetes complications among the studied patients. RESULTS: The mean age of patients was 53.8 ± 11.3 years, and 55.8% were females. The prevalence of T2DM complications was 55.8% for diabetic retinopathy, 30.4% for cardiovascular diseases (CVD), 26.1% for diabetic foot, 19.6% for stroke, and 5.3% for kidney diseases with no significant difference by patients’ sex. Daily carbohydrates intake &gt;65% was associated with an increased risk of CVD, retinopathy, and diabetic foot with odds ratio (OR) of 4.75, 4.35, and 65.5, respectively. Daily proteins intake &gt;20% and daily fat intake ≥30% were associated with a significant increased risk of stroke and CVD, respectively. CONCLUSION: The study findings suggest that high daily calorie intake from carbohydrate protein and fat plays an important role in the risk of T2DM complications. Patients with diabetes who understand the value of consuming calories from macronutrients and how to distribute their daily intake of these calories may reduce their risk of developing diabetic complications.

Related Factors Mining of Diabetes Complications Based on Manifold-Constrained Multi-Label Feature Selection.

The primary cause of mortality among individuals with diabetes stems from complications. Identifying related factors for these complications holds immense potential for early prevention. Previous research predominantly employed traditional machine-learning techniques to establish prediction models utilizing medical indicators for related factor selection. However, uncovering the intricate correlations among complication labels and identifying similar characteristics among medical indicators has been challenging. We propose a novel embedded multi-label feature selection approach called LCFSM(Label Cosine and Feature Similar Manifold) to address the issue. LCFSM introduces manifold constraints into the objective function to uncover risk factors associated with diabetes complications. Label cosine similarity is set to optimize feature weights, forming label manifold constraints. Similarly, feature manifold constraints are established to utilize feature kernel similarity in optimizing feature weights. LCFSM formulates an objective function based on the l2,1 regularized Least Squares and previous manifolds constraints, employing the Sylvester equationfor convergence assurance. The experimental evaluation compares LCFSM against eight baselines, demonstrating superior performance in top-10 feature selection and feature stacking.LCFSM is applied to identify primary risk factors for diabetes complications. Related factors involve Electromyogram, Urine Routine Protein Positive, etc, offering valuable insights for early treatment.

GCK-MODY у молодых мужчин: значение поведенческих и кардиометаболических факторов риска в развитии осложнений

Aim. Present two clinical cases of Maturity-Onset Diabetes of the Young, which is based on the presence of pathogenic variants in the glucokinase (GCK) gene — GCK-MODY; to characterize behavioral and cardiometabolic risk factors for diabetes complications. Key points. In the first clinical case, the pathogenic variant p.Trp257Ter (c.770G&gt;A, NM_000162.5) of the GCK gene, previously described in the literature, was identified in the proband and his father, in the second — the pathogenic variant p.Cys271Ter (c.1113C&gt;A, NM_000162. 5) GCK gene. Probands are young men, 22 and 21 years old, respectively. They were first diagnosed with diabetes in the ages of 10 and 6 years during routine examinations. There were no clinical symptoms of hyperglycemia; they did not take and do not currently take hypoglycemic drugs. When examined 11 and 15 years after the diagnosis of diabetes, in each patient the level of C-peptide was within the reference values, which indicates the preservation of the secretory function of pancreatic β-cells. Antibodies were negative, the level of glycated hemoglobin (HbA1c) was 5.7 and 6.1%, respectively. No complications of diabetes were identified in either patient. The fathers of probands from both families had HbA1c levels of 6.4 and 6.5%, respectively. The father of the proband from the first clinical case does not comply with recommendations for a healthy lifestyle and nutrition, and does not deny weekly alcohol consumption. Upon examination, he was found to be overweight, arterial hypertension, dyslipidemia, steatohepatitis, and atherosclerosis of the brachiocephalic vessels, which increase the risk of cardiovascular events. The father of the proband from the second clinical case follows recommendations for a healthy lifestyle. During the examination, body weight, blood pressure, blood lipids are within the target range. Conclusion. Presenting two clinical cases and family histories of patients with GCK-MODY, the authors note that the compliance with the principles of a healthy lifestyle, assessment and correction of the main risk factors will help avoid the emergence and progression of complications in patients with GCK-MODY. When monitoring and treating patients with diabetes of any type, it is important to follow the principles of preventive medicine. Keywords: Molecular genetic research, GCK gene, monogenic diabetes mellitus, Maturity-Onset Diabetes of the Young, hyperglycemia, diabetes mellitus in young people.

Evaluation of association between time in range, a continuous glucose monitoring metric, and cardiac autonomic neuropathy in type 2 diabetes patients.

Time in range (TIR), a metric of continuous glucose monitoring (CGM) provides better information regarding the individual's glycemic variability than a static measure like glycated hemoglobin (HbA1c). TIR is emerging as an independent risk factor for diabetic complications, both microvascular and macrovascular complications independent of HbA1c. Hence, this study evaluates the association between TIR and cardiac autonomic neuropathy (CAN) in type 2 diabetic patients. A total of 42 patients with type 2 diabetes mellitus were enrolled in this study and underwent a 3-day CGM using the "FreeStyle Libre Pro Flash Glucose Monitoring System Sensor" along with tests for CAN within the 3 days of attaching the CGM. Out of 42 patients, 36 patients (85.7%) were diagnosed with CAN (early CAN 57.1% and definite CAN 28.6%) and the mean TIR was 64.4% ±23.5%. Out of those with TIR <70%, 42.9% were affected with definite CAN compared to only 14.3% among those with TIR >70%. Patients with more severe CAN were found to have a lower TIR (P = 0.115). The study found a high prevalence of cardiac autonomic neuropathy (CAN) of around 85.7% in type 2 diabetes patients. Lower TIR values were associated with a higher incidence of definite CAN (42.9% vs. 14.3% in TIR <70% vs. >70% groups). The findings suggest TIR is inversely associated with the presence and severity of cardiac autonomic neuropathy in type 2 diabetic patients and also a potential link between TIR and CAN severity.

Glucose fluctuation promotes mitochondrial dysfunctions in the cardiomyocyte cell line HL-1.

Glycemic variability has been suggested as a risk factor for diabetes complications but the precise deleterious mechanisms remain poorly understood. Since mitochondria are the main source of energy in heart and cardiovascular diseases remain the first cause of death in patients with diabetes, the aim of the study was to evaluate the impact of glucose swings on mitochondrial functions in the cardiomyocyte cell line HL-1. HL-1 cells were exposed to low (LG, 2.8 mmol/l), normal (NG, 5.5 mmol/l), high (HG, 25 mmol/l) or intermittent high glucose (IHG, swing between low and high) every 2h during 12h (short-time treatment) or every 12h during 72h (long-time treatment). Anaerobic catabolism of glucose was evaluated by measuring glucose consumption and lactate production, oxidative phosphorylation was evaluated by polarography and ATP measurement, mitochondrial superoxide anions and the mitochondrial membrane potential (MMP) were analysed using fluorescent probes, and the protein oxidation was measured by oxyblot. IHG and HG increased glucose consumption and lactate production compared to LG and NG but without any difference between short- and long-time treatments. After 72h and unlike to LG, NG and HG, we didn't observe any increase of the mitochondrial respiration in the presence of succinate upon IHG treatment. IHG, and to a lesser extent HG, promoted a time-dependent decrease of the mitochondrial membrane potential compared to LG and NG treatments. HG and IHG also increased superoxide anion production compared to LG and NG both at 12 and 72h but with a higher increase for IHG at 72h. At last, both HG and IHG stimulated protein oxidation at 72h compared to LG and NG treatments. Our results demonstrated that exposure of HL-1 cells to glucose swings promoted time-dependent mitochondrial dysfunctions suggesting a deleterious effect of such condition in patients with diabetes that could contribute to diabetic cardiomyopathy.

IGF1 and PPARG polymorphisms are associated with reduced estimated glomerular filtration rate in a cohort of children and adolescents with type 1 diabetes.

Several genetic loci have been associated with diabetic nephropathy; however, the underlying genetic mechanisms are still poorly understood, with no robust candidate genes identified yet. We aimed to determine whether two polymorphisms, previously associated with renal decline, influence kidney impairment evaluating their association with markers of renal function in a pediatric population with type 1 diabetes (T1D). Renal function was evaluated by glomerular filtration rate (eGFR) and albumin-to-creatinine ratio (ACR) in a cohort of pediatric subjects with T1D (n = 278). Risk factors for diabetes complications (diabetes duration, blood pressure, HbA1c) were assessed. The IGF1 rs35767 and PPARG rs1801282 SNPs were genotyped by TaqMan RT-PCR system. An additive genetic interaction was calculated. Association analysis between markers of renal function and both SNPs or their additive interaction were performed. Both SNPs showed a significant association with eGFR: the A allele of rs35767 or the C allele of rs1801282 were associated to reduced eGFR compared to G alleles. Multivariate regression analysis adjusted for age, sex, z-BMI, T1D duration, blood pressure and Hba1c values showed that the additive genetic interaction was independently associated with lower eGFR (β = -3.59 [-6.52 to -0.66], p = 0.017). No associations were detected between SNPs, their additive interaction and ACR. These results provide new insight into the genetic predisposition to renal dysfunction, showing that two polymorphisms in IGF1 and PPARG genes can lead to a reduction in renal filtration rate leading these patients to be exposed to a higher risk of early renal complications.

Cardiovascular complications in insulin resistance and endocrine diseases.

Cerebrovascular diseases, such as stroke and cardiovascular disease, are one of the leading causes of death in Japan. Type 2 diabetes is the most common form of diabetes and an important risk factor for these diseases. Among various pathological conditions associated with type 2 diabetes, insulin resistance has already been reported to be an important risk factor for diabetic complications. The major sites of insulin action in glucose metabolism in the body include the liver, skeletal muscle, and adipose tissue. However, insulin signaling molecules are also constitutively expressed in vascular endothelial cells, vascular smooth muscle, and monocytes/macrophages. Forkhead box class O family member proteins (FoxOs) of transcription factors play important roles in regulating glucose and lipid metabolism, oxidative stress response and redox signaling, and cell cycle progression and apoptosis. FoxOs in vascular endothelial cells strongly promote arteriosclerosis by suppressing nitric oxide production, enhancing inflammatory response, and promoting cellular senescence. In addition, primary aldosteronism and Cushing's syndrome are known to have adverse effects on the cardiovascular system, apart from hypertension, diabetes, and dyslipidemia. In the treatment of endocrine disorders, hormonal normalization by surgical treatment and receptor antagonists play an important role in preventing cardiovascular complications.

Glucose and HbA1c variability and time in range (TIR)

Glycated hemoglobin (HbA1c) is the pillar of diabetes management, but does not capture blood glucose fluctuations over time. Recent data suggest that additional glucose-related metrics might improve prevention of the increased cardiovascular risk in diabetes. Variabilities in both blood glucose and HbA1cappear to represent additional, independent risk factors for diabetes complications. Continuous glucose monitoring also allows calculation of a new, intuitive metric, i.e., time in range (TIR), which is strictly related to glucose variability and is also an independent risk factor for diabetes complications. Here, we review the main findings on the influence of TIR, glucose, and HbA1cvariability on the development of complications and highlight the possible role of novel drugs in improving glucose variability.

Glukose- und HbA1c-Variabilität sowie Zeit im Zielbereich (TIR)

Glycated hemoglobin (HbA1c) is the pillar of diabetes management, but does not capture blood glucose fluctuations over time. Recent data suggest that additional glucose-related metrics might improve prevention of the increased cardiovascular risk in diabetes. Variabilities in both blood glucose and HbA1c appear to represent additional, independent risk factors for diabetes complications. Continuous glucose monitoring also allows calculation of a new, intuitive metric, i.e., time in range (TIR), which is strictly related to glucose variability and is also an independent risk factor for diabetes complications. Here, we review the main findings on the influence of TIR, glucose, and HbA1c variability on the development of complications and highlight the possible role of novel drugs in improving glucose variability.

Role of insulin action in the pathogenesis of diabetic complications.

Among the various pathological conditions associated with type 2 diabetes, insulin resistance has long been reported to be a potent risk factor for diabetic complications. The liver, skeletal muscle, and adipose tissue are the major organs of action of insulin in systemic glucose metabolism, but insulin receptors and their downstream insulin signaling molecules are also constitutively expressed in vascular endothelial cells, vascular smooth muscle, and monocytes/macrophages. Forkhead box class O family member proteins (FoxOs) of transcription factors are essential regulators of cellular homeostasis, including glucose and lipid metabolism, oxidative stress response and redox signaling, cell cycle progression and apoptosis. In vascular endothelial cells, FoxOs strongly promote atherosclerosis via suppressing nitric oxide production and enhancing inflammatory responses. In liver sinusoidal endothelial cells, FoxOs induces hepatic insulin resistance by inducing nitration of insulin receptor in hepatocytes. Insulin resistance in adipose tissue limits capacity of lipid accumulation in adipose tissue, which promotes ectopic lipid accumulation and organ dysfunction in liver, vascular, and kidney. Modulation of insulin sensitivity in adipose tissue to induce healthy adipose expansion is expected to be a promising strategy for diabetic complications.

Early marker of ocular neurodegeneration in children and adolescents with type 1 diabetes: the contributing role of polymorphisms in mir146a and mir128a genes

BackgroundEarly ocular neurodegenerative signs of diabetic neuropathy (DN) can be found in children and adolescents with type 1 diabetes (T1D). No data are available on the potential role of polymorphisms in miRNAs genes in predisposing T1D subjects to these signs.AimsTo determine whether MIR146A rs2910164 and MIR128A rs11888095 polymorphisms are associated with early retinal and corneal neurodegenerative changes in pediatric patients with T1D.MethodsA total of 140 T1D children/adolescents underwent spectral domain-optical coherence tomography (SD-OCT) and in vivo confocal microscopy (IVCM) with measurement of retinal and corneal nerve fiber parameters. Risk factors for diabetes complications (diabetes duration, blood pressure, HbA1c) were recorded. Genotyping of rs2910164 and rs1188095 SNPs and genotype–phenotype association analysis were performed.ResultsThe C allele of rs2910164 in MIR146A was associated with higher values of IVCM parameters and minimum rim width (MRW) of the peripapillary region of optic nerve head measured in the retina, whereas the T allele of rs1188095 in MIR128A was associated with a significant impairment of them. Multiple regression analysis showed that MIR146A and MIR128A polymorphisms were significantly associated with corneal nerve fiber length (beta = 0.225 and − 0.204, respectively) and other IVCM parameters, independently from age, diabetes duration, HbA1c and systolic blood pressure percentile. Similar results were found for MRW (beta = 0.213 and − 0.286, respectively).ConclusionsThese results provide new insight into the genetic predisposition to DN showing that two polymorphisms in MIR146A and MIR128A genes could significantly contribute to the development of early ocular preclinical signs of DN.

Association of hypoxia inducible factor 1-Alpha gene polymorphisms with multiple disease risks: A comprehensive meta-analysis.

HIF1A gene polymorphisms have been confirmed the association with cancer risk through the statistical meta-analysis based on single genetic association (SGA) studies. A good number SGA studies also investigated the association of HIF1A gene with several other diseases, but no researcher yet performed statistical meta-analysis to confirm this association more accurately. Therefore, in this paper, we performed a statistical meta-analysis to draw a consensus decision about the association of HIF1A gene polymorphisms with several diseases except cancers giving the weight on large sample size. This meta-analysis was performed based on 41 SGA study’s findings, where the polymorphisms rs11549465 (1772 C/T) and rs11549467 (1790 G/A) of HIF1A gene were analyzed based on 11544 and 7426 cases and 11494 and 7063 control samples, respectively. Our results showed that the 1772 C/T polymorphism is not significantly associated with overall disease risks. The 1790 G/A polymorphism was significantly associated with overall diseases under recessive model (AA vs. AG + GG), which indicates that the A allele is responsible for overall diseases though it is recessive. The subgroup analysis based on ethnicity showed the significant association of 1772 C/T polymorphism with overall disease for Caucasian population under the all genetic models, which indicates that the C allele controls overall diseases. The ethnicity subgroup showed the significant association of 1790 G/A polymorphism with overall disease for Asian population under the recessive model (AA vs. AG + GG), which indicates that the A allele is responsible for overall diseases. The subgroup analysis based on disease types showed that 1772 C/T is significantly associated with chronic obstructive pulmonary disease (COPD) under two genetic models (C vs. T and CC vs. CT + TT), skin disease under two genetic models (CC vs. TT and CC + CT vs. TT), and diabetic complications under three genetic models (C vs. T, CT vs. TT and CC + CT vs. TT), where C allele is high risk factor for skin disease and diabetic complications (since, ORs > 1), but low risk factor for COPD (since, ORs < 1). Also the 1790 G/A variant significantly associated with the subgroup of cardiovascular disease (CVD) under homozygote model, diabetic complications under allelic and homozygote models, and other disease under four genetic models, where the A is high risk factor for diabetic complications and low risk factor for CVD. Thus, this study provided more evidence that the HIF1A gene is significantly associated with COPD, CVD, skin disease and diabetic complications. These might be the severe comorbidities and risk factors for multiple cancers due to the effect of HIF1A gene and need further investigations accumulating large number of studies.

The WISDOM self-management intervention: A cost-effectiveness analysis to support the transformation of type 2 diabetes care in England.

ObjectivesTo assess the cost‐effectiveness of the WISDOM self‐management intervention for type 2 diabetes compared with care as usual.DesignWe performed a difference‐in‐differences analysis to estimate differences in risk factors for diabetes complications between people in the WISDOM group (n = 25, 276) and a control group (n = 15, 272) using GP records. A decision analytic model was then used to extrapolate differences in risk factors into costs and outcomes in the long term.SettingParticipating GP practices in West Hampshire and Southampton, UK.ParticipantsAll people diagnosed with type 2 diabetes between January 1990 and March 2020 (n = 40,548).OutcomesDiabetes‐related complications, quality‐adjusted life years (QALYs) and costs to the English National Health Service at 5 years and lifetime.InterventionsThe WISDOM intervention included risk stratification, self‐management education programme to professionals and people with type 2 diabetes, and monitoring of key treatment targets.ResultsWISDOM was associated with less atrial fibrillation [p = 0.001], albuminuria [p = 0.002] and blood pressure [p = 0.098]. Among all people in the intervention group, WISDOM led to 51 [95%CI: 25; 76] QALYs gained and saved £278,036 [95%CI: −631,900; 176,392] in the first 5 years after its implementation compared with care as usual. During those people' lifetime, WISDOM led to 253 [95%CI: 75; 404] QALYs gained and cost saving of £126,380 [95%CI: −1,466,008; 1,339,628]. The gains in QALYs were a result of reduced diabetes‐related complications through improved management of the associated risk factors.ConclusionsThe WISDOM risk‐stratification and education intervention for type 2 diabetes appear to be cost‐effective compared to usual care by reducing diabetes complications.

Vitamin D Supplementation Modulates Platelet-Mediated Inflammation in Subjects With Type 2 Diabetes: A Randomized, Double-Blind, Placebo-Controlled Trial.

BackgroundRecently, our group identified increased platelet-mediated inflammation in type 2 diabetes (T2DM) patients, and it is a well-established risk factor for diabetes complications, particularly for the development of cardiovascular diseases (CVD). Furthermore, vitamin D is reported to play an important role in the modulation of platelet hyperactivity and immune function, although the effect of vitamin D on platelet-mediated inflammation is not well studied. Hence, we aimed to investigate the effect of vitamin D supplementation on platelet-mediated inflammation in T2DM patients.MethodsAfter screening a total of 201 subjects, our randomized, double-blind, placebo-controlled trial included 59 vitamin-D-deficient T2DM subjects, and the participants were randomly assigned to placebo (n = 29) or vitamin D3 (n = 30) for 6 months. Serum vitamin D metabolite levels, immunome profiling, platelet activation, and platelet–immune cell aggregate formation were measured at baseline and at the end of the study. Similarly, the serum levels of inflammatory cytokines/chemokines were assessed by a multiplex assay.ResultsSix months of vitamin D supplementation increases the serum vitamin D3 and total 25(OH)D levels from the baseline (p < 0.05). Vitamin D supplementation does not improve glycemic control, and no significant difference was observed in immune cells. However, platelet activation and platelet immune cell aggregates were altered after the vitamin D intervention (p < 0.05). Moreover, vitamin D reduces the serum levels of IL-18, TNF-α, IFN-γ, CXCL-10, CXCL-12, CCL-2, CCL-5, CCL-11, and PF-4 levels compared to the baseline levels (p < 0.05). Our ex vivo experiment confirms that a sufficient circulating level of vitamin D reduces platelet activation and platelet intracellular reactive oxygen species.ConclusionOur study results provide evidence that vitamin D supportive therapy may help to reduce or prevent the disease progression and cardiovascular risk in T2DM patients by suppressing oxidative stress and platelet-mediated inflammation.Clinical Trial RegistrationClinical Trial Registry of India: CTRI/2019/01/016921.

Prevalence and Risk Factors for Diabetic Complications: 8-Year Retrospective Report from a Single Regional Diabetes Center to the Eastern Region of Morocco

Objective: This study aims to investigate the risk factors of diabetes and its complications in the eastern region. Design: This is a retrospective study conducted on diabetic patients followed at the regional center of diabetology and chronic diseases in Oujda for the period 2012-2019. Materials and Methods:Clinical, biological, therapeutic and anthropometric data were collected from patient records. Result: A total of 3.976 patients participated in the study. The frequency of complications is around 1/3. One diabetic out of four has at least one modifiable cardiovascular risk factor: arterial hypertension at 25.35%, dyslipidemia at 12.67%, overweight and obesity at 35.48% and 27.8%. The most discriminating factors in the pathogenesis of diabetic complications in order of importance are age of diabetes, hypertension, HbA1c and dyslipidemia, statistically significant associations were found with p 0.0082, 0.0001, 0.002, 0.0001 respectively). Then a multifactorial analysis coupled with a hierarchical ascending classification in birth data to two large groups of diabetics with complications and those without complications. Discussion: The age of trend T2DM has fallen to less than 40 years, so that the first characteristics of an epidemiological and nutritional transition are being established in our region. In addition, blood pressure and glycemic imbalance in diabetics reflect a problem of medical and therapeutic management that needs to be resolved. Conclusion: The pathogenesis of diabetic complications is multifactorial. However, medical care must be taken to reduce the risk of degenerative complications.

Association Among Lipid Accumulation Product, Chinese Visceral Obesity Index and Diabetic Retinopathy in Patients with Type 2 Diabetes: A Cross-Sectional Study

Background and AimObesity often coexists with diabetes, especially abdominal obesity, recognized as a risk factor for diabetic complications. Diabetic retinopathy (DR), as one of the most common microvascular complications of diabetes, may be associated with these indices. Lipid accumulation product (LAP) and Chinese visceral obesity index (CVAI) are novel visceral obesity indicators, which have been proven to be an influential factor predicting type 2 diabetes (T2DM). However, the correlation among LAP, CVAI, and DR still lacks systematic research in T2DM. The study aimed to explore the relationship among LAP, CVAI levels in different DR stages of T2DM patients and the diagnostic efficacy of LAP and CVAI for DR.MethodsA total of 263 participants were recruited in this cross-sectional study. We enrolled 169 patients with T2DM, divided into the non-DR group (NDR, n = 61), non-proliferative DR group (NPDR, n = 55), and proliferative DR group (PDR, n = 53). And we also enrolled 94 healthy control participants. We collected demographic, anthropometric, and biochemical data on each subject. LAP and CVAI are calculated according to different formulas for men and women.ResultsCompared with the control group, LAP and CVAI were significantly higher (P < 0.05). After adjusting for confounding factors, LAP (OR: 1.029, 95CI%: 1.010–1.049, P < 0.05), WC (OR: 1.073, 95CI%: 1.009–1.141, P < 0.05) and CVAI (OR: 1.017, 95CI%: 1.000–1.033, P < 0.05) were all associated with an increased risk of DR. Furthermore, increased LAP (OR: 1.020, 95% CI: 0.100–0.290) is associated with DR severity (P < 0.001). Moreover, the LAP had the most significant area under the receiver operating characteristics (ROC) curve (AUC) (AUC = 0.728, 95% CI: 0.653–0.804).ConclusionA high LAP is associated with an increased risk of DR in T2DM patients, and the LAP index appears to be a good predictor of DR risk and severity in patients with T2DM, compared with BMI, WC, and CVAI.