Advantages of early diagnosis of diabetic neuropathy in the prevention of diabetic foot ulcers

Perspective of Continuous Glucose Monitoring-Based Interventions at the Various Stages of Type 2 Diabetes

Continuous glucose monitoring (CGM) is now advocated for the clinical management of individuals with type 1 diabetes (T1D). However, this glucose monitoring strategy is not routinely used in type 2 diabetes (T2D), given the large population, significant cost implications and relatively limited supporting evidence. T2D is a more heterogenous condition compared with T1D with various glucose lowering therapies that do not necessarily require CGM to ensure within target glucose levels. While all individuals with T2D may benefit from CGM at certain time points, the whole T2D population does not necessarily require this technology continuously, which should be prioritized based on patient benefit and cost effectiveness. In this pragmatic opinion piece, we describe the rationale and evidence for CGM use in different subgroups of individuals with T2d, divided according to the stage of the condition, glycemic therapies, presence of diabetes complications, or associated co-morbidities. We discuss a total of 16 T2D subgroups and provide a clinical view on CGM use in each, based on current evidence while also highlighting areas of knowledge gaps. This work provides health care professionals with a simple guide to CGM use in different T2D groups and gives suggestion for future studies to justify expansion of this technology.

Alterations in plantar vessel blood flow in patients with mild diabetic peripheral neuropathy

INTRODUCTION

Early identification and treatment of diabetic peripheral neuropathy (DPN) are crucial. Presently, the mechanism of DPN is not very clear, and there are inconclusive conclusions about the influencing factors of vascular dynamic characteristics in DPN. This study aims to detect and compare the hemodynamic characteristics of plantar blood vessels in patients with mild DPN and healthy participants to explore a simple and reliable new idea and a potential method for early assessment of DPN and to investigate the influence of gender and age on hemodynamic characteristics.

RESEARCH DESIGN AND METHODS

Sixty age-matched and gender-matched patients with mild DPN (30 men and 30 women) and 60 healthy participants were randomly recruited. Color Doppler ultrasound was used to measure and analyze the hemodynamic characteristics of plantar-related vessels.

RESULTS

Ultrasonic measurements had good test-retest reliability. There may be no statistically significant differences in the blood flow velocity and blood flow in the plantar-related blood vessels of participants, irrespective of their gender and age. For patients with mild DPN, color Doppler ultrasound may indicate early hemodynamic abnormalities when there are no obvious abnormalities in the large arteries of the lower limbs, which are specifically manifested as increased blood flow velocity and blood flow in the distal small vessels.

CONCLUSIONS

Our study provides in vivo data support for the dynamic characteristics of the plantar blood vessel biomechanical model and provides a new idea of in vivo and non-invasive early diagnosis of DPN.

Analysis of the association of polymorphisms of genes markers functions of endothelium and vascular-plate hemostasis with development of diabetic foot syndrome

The aim. To study the prevalence of various combinations of polymorphic variants of genes markers of endothelial function and vascular-platelet hemostasis in the development of diabetic foot syndrome.Materials and methods. In 198 patients with uncomplicated diabetes mellitus and 199 patients with diabetic foot syndrome, the frequency of polymorphic variants of the NOS 786C>T, END1 Lys198Asn, ITGB3 1565T>C (Leu33Pro), F5 1691G>A, F2 20210G>A, MMP9 8202A>G, MTHFR 1298A>C, VEGFA-634C>G genes was studied. Using binary logistic regression analysis, the relationship of various combinations of polymorphisms of the studied genes with the development of diabetic foot was assessed.Results. In diabetic foot syndrome, the most significant contribution is made by the combination of polymorphic variants of the ITGB3 1565T>C (Leu33Pro) and MTHFR 1298A>C genes. With the development of this complication of diabetes mellitus, a combination of the 1565 TC polymorphism of gene ITGB3 and the 1298AA polymorphism of gene MTHFR is 2.1 times more common. The association of the 1565TT polymorphism of gene ITGB3 and the 1298AC polymorphism of gene MTHFR is 2 times more common in diabetes mellitus without complications.Conclusion. The combination of the 1565TС polymorphism of gene ITGB3 and the 1298АА polymorphism of gene MTHFR is associated with the risk of developing a diabetic foot and increases the risk of developing this complication by 2.4 times. The presence of a combination of the 1565TT polymorphisms of gene ITGB3 and the 1298AC polymorphism of gene MTHFR is more common in uncomplicated diabetes mellitus, which suggests its protective effect against the development of diabetic foot syndrome.

Diabetic peripheral neuropathy: Person-centered care

ABSTRACT

Patients with diabetes mellitus may experience painful and nonpainful diabetic peripheral neuropathy (DPN). This article offers an overview of DPN and the clinical assessment and management of patients with DPN, as well as the nurse's role in supporting these patients.

Susceptibility for Some Infectious Diseases in Patients With Diabetes: The Key Role of Glycemia

Uncontrolled diabetes results in several metabolic alterations including hyperglycemia. Indeed, several preclinical and clinical studies have suggested that this condition may induce susceptibility and the development of more aggressive infectious diseases, especially those caused by some bacteria (including Chlamydophila pneumoniae, Haemophilus influenzae, and Streptococcus pneumoniae, among others) and viruses [such as coronavirus 2 (CoV2), Influenza A virus, Hepatitis B, etc.]. Although the precise mechanisms that link glycemia to the exacerbated infections remain elusive, hyperglycemia is known to induce a wide array of changes in the immune system activity, including alterations in: (i) the microenvironment of immune cells (e.g., pH, blood viscosity and other biochemical parameters); (ii) the supply of energy to infectious bacteria; (iii) the inflammatory response; and (iv) oxidative stress as a result of bacterial proliferative metabolism. Consistent with this evidence, some bacterial infections are typical (and/or have a worse prognosis) in patients with hypercaloric diets and a stressful lifestyle (conditions that promote hyperglycemic episodes). On this basis, the present review is particularly focused on: (i) the role of diabetes in the development of some bacterial and viral infections by analyzing preclinical and clinical findings; (ii) discussing the possible mechanisms by which hyperglycemia may increase the susceptibility for developing infections; and (iii) further understanding the impact of hyperglycemia on the immune system.

The effectiveness and safety of recombinant human growth hormone combined with alginate dressing in the treatment of diabetic foot ulcer: A protocol for systematic review and meta-analysis

BACKGROUND

Diabetic foot ulcer (DFU) is one of the serious complications of diabetes. It is the result of a joint effect of lower extremities vascular lesions, neuropathy, and infection, which require amputation and even threaten the life of the patient. At present, the conventional treatment for DFU includes infection control, wound care, wound reduction, reduction of foot pressure, use of dressings that are beneficial to wound surface healing, etc, but the effectiveness is not satisfactory. Recombinant human growth hormone and alginate dressing have been used in clinical, but there is lack of the relevant evidence of its effectiveness and safety, so this study evaluates the clinical effectiveness and safety of recombinant human growth hormone combined with alginate dressing in the treatment of DFU by systematic evaluation, the purpose is to provide a theoretical basis for the treatment of diabetic foot ulcer.

METHODS

This study mainly retrieves the randomized controlled trial of recombinant human growth hormone combined alginate dressing in the treatment of DFU in 7 electronic databases, such as PubMed, EMbase, Cochrane Library, SinoMed, CNKI, WANGFANG database, and VIP database. All the retrieval dates of database are from the establishment of the database until May 31, 2020. At the same time, searching the related degree papers, conference papers, and other gray literature by manual. The original literature data are independently screened and extracted by 2 researchers on the basis of inclusion and exclusion criteria and literature information sheets, and cross-checked and resolved through group discussions and consultations when there are differences of the opinion. Assessing the methodological quality of inclusion in the study based on the "Bias Risk Assessment Form" of the Cochrane Collaboration Network. Using the software of RevMan 5.3.3 and STATA 13.0 for statistical analysis.

RESULTS

This study compares the main and secondary outcome indicators by systematic evaluation and it will provide strong evidence of recombinant human growth hormone combined alginate dressing in the treatment of DFU.

ETHICS AND DISSEMINATION

All data in this study are obtained through the web database and do not involve humans, so ethical approval is not suitable for this study.

OSF REGISTRATION NUMBER

DOI 10.17605/OSF.IO/W6P24.

CONCLUSION

This study will give positive conclusions about the effectiveness and safety of recombinant human growth hormone combined alginate dressing in the treatment of DFU.

Analysis for warning factors of type 2 diabetes mellitus complications with Markov blanket based on a Bayesian network model

BACKGROUND AND OBJECTIVE

Type 2 diabetes mellitus (T2DM) complications seriously affect the quality of life and could not be cured completely. Actions should be taken for prevention and self-management. Analysis of warning factors is beneficial for patients, on which some previous studies focused. They generally used the professional medical test factors or complete factors to predict and prevent, but it was inconvenient and impractical for patients to self-manage. With this in mind, this study built a Bayesian network (BN) model, from the perspective of diabetic patients' self-management and prevention, to predict six complications of T2DM using the selected warning factors which patients could have access from medical examination. Furthermore, the model was analyzed to explore the relationships between physiological variables and T2DM complications, as well as the complications themselves. The model aims to help patients with T2DM self-manage and prevent themselves from complications.

METHODS

The dataset was collected from a well-known data center called the National Health Clinical Center between 1st January 2009 and 31st December 2009. After preprocess and impute the data, a BN model merging expert knowledge was built with Bootstrap and Tabu search algorithm. Markov Blanket (MB) was used to select the warning factors and predict T2DM complications. Moreover, a Bayesian network without prior information (BN-wopi) model learned using 10-fold cross-validation both in structure and in parameters was added to compare with other classifiers learned using 10-fold cross-validation fairly. The warning factors were selected according the structure learned in each fold and were used to predict. Finally, the performance of two BN models using warning features were compared with Naïve Bayes model, Random Forest model, and C5.0 Decision Tree model, which used all features to predict. Besides, the validation parameters of the proposed model were also compared with those in existing studies using some other variables in clinical data or biomedical data to predict T2DM complications.

RESULTS

Experimental results indicated that the BN models using warning factors performed statistically better than their counterparts using all other variables in predicting T2DM complications. In addition, the proposed BN model were effective and significant in predicting diabetic nephropathy (DN) (AUC: 0.831), diabetic foot (DF) (AUC: 0.905), diabetic macrovascular complications (DMV) (AUC: 0.753) and diabetic ketoacidosis (DK) (AUC: 0.877) with the selected warning factors compared with other experiments.

CONCLUSIONS

The warning factors of DN, DF, DMV, and DK selected by MB in this research might be able to help predict certain T2DM complications effectively, and the proposed BN model might be used as a general tool for prevention, monitoring, and self-management.

Cost-effectiveness analysis of the Neuropad device as a screening tool for early diabetic peripheral neuropathy

OBJECTIVE

To carry out a cost-effectiveness analysis of the use of Neuropad as a screening test for diabetic neuropathy together with the standard care tool, the 10-g monofilament, in people with diabetes.

RESEARCH DESIGN AND METHODS

A cost-effectiveness analysis using a Markov model was developed to assess the impact on costs and outcomes of using Neuropad as a test for diabetic neuropathy (1) as a complement to the standard test, the 10-g monofilament (Neuropad + monofilament vs. monofilament); and (2) as a substitute for the monofilament (Neuropad vs. monofilament); from the healthcare provider perspective. The time horizon was 3 years. Data on costs and health gains were extracted from the literature. The incremental cost-utility ratio was calculated. Deterministic and probabilistic sensitivity analyses were also performed.

RESULTS

Compared with standard care, Neuropad, in combination with the 10-g monofilament tool, is the dominant strategy as it leads to higher health gains and lower costs. In practice, compared with using the monofilament alone, performing both tests would lead to a savings of £1049.26 per patient and 0.044 QALY gain. Results were found to be consistent across the sensitivity analyses.

CONCLUSIONS

Using both screening tools (Neuropad + monofilament) is a cost-effective strategy and the dominant alternative, when compared against using the 10-g monofilament alone. The results would be of special relevance in the early detection of diabetic peripheral neuropathy and to ensure the efficient allocation of resources and, thus, the sustainability of healthcare systems.

Review on Wearables to Monitor Foot Temperature in Diabetic Patients

One of the diseases that could affect diabetic patients is the diabetic foot problem. Unnoticed minor injuries and subsequent infection can lead to ischemic ulceration, and may end in a foot amputation. Preliminary studies have shown that there is a positive relationship between increased skin temperature and the pre⁻ulceration phase. Hence, we have carried out a review on wearables, medical devices, and sensors used specifically for collecting vital data. In particular, we are interested in the measure of the foot⁻temperature. Since there is a large amount of this type of medical wearables, we will focus on those used to measure temperature and developed in Spain.