Diabetes mellitus and risk of ischemic stroke in patients with heart failure and no atrial fibrillation

Association and pathways of baseline and longitudinal hemoglobin A1c with the risk of incident stroke: A nationwide prospective cohort study

AIMS

To investigate the association of baseline and long-term mean hemoglobin A1c (HbA1c) with the risk of stroke.

METHODS

A total of 11,220 participants aged over 45 years and without stroke at baseline were enrolled from the China Health and Retirement Longitudinal Study. Mean HbA1c was calculated as the mean of HbA1c at all previous visits before stroke occurred or the end of follow-up. Multivariable-adjusted Cox regressions and Bayesian network were used for the analysis.

RESULTS

During a median follow-up of 7.50 years, a total of 626 cases of stroke occurred. The risk of stroke increased with quintiles of baseline and mean HbA1c, the hazard ratio (HR) in Q5 versus Q1 was 1.30 (95 % confidence interval [CI],1.03-1.64) and 1.79 (95 % CI, 1.38-2.34), respectively. Per 1 unit increase in baseline and mean HbA1c was associated with 10 % (HR, 1.10; 95 % CI, 1.02-1.18) an 12 % (HR, 1.12; 95 % CI, 1.05-1.19) higher risk of stroke. Bayesian network analysis showed that the pathway from HbA1c to stroke was through hypertension, dyslipidemia, obesity, and inflammation.

CONCLUSIONS

Elevated levels of both baseline and long-term HbA1c were associated with increased risk of stroke, and hypertension and obesity played an important role in the pathway.

Diabetes, Vascular Aging and Stroke: Old Dogs, New Tricks?

BACKGROUND

Stroke remains a leading cause of death and disability throughout the world. It is well established that Diabetes Mellitus (DM) is a risk factor for stroke, while other risk factors include dyslipidaemia and hypertension. Given that the global prevalence of diabetes steadily increases, the need for adequate glycaemic control and prevention of DM-related cardiovascular events remains a challenge for the medical community. Therefore, a re-examination of the latest data related to this issue is of particular importance.

OBJECTIVE

This review aims to summarise the latest data on the relationship between DM and stroke, including epidemiology, risk factors, pathogenesis, prevention and biomarkers.

METHODS

For this purpose, comprehensive research was performed on the platforms PubMed, Google Scholar and EMBASE with a combination of the following keywords: diabetes mellitus, stroke, macrovascular complications, diabetic stroke, cardiovascular disease.

CONCLUSIONS

Much progress has been made in stroke in people with DM in terms of prevention and early diagnosis. In the field of prevention, the adaptation of the daily habits and the regulation of co-morbidity of individuals play a particularly important role. Simultaneously, the most significant revolution has been brought by the relatively new treatment options that offer protection to the cardiovascular system. Moreover, many prognostic and diagnostic biomarkers have been identified, paving the way for early and accurate diagnoses. However, to date, there are crucial points that remain controversial and need further clarification.

Validation and comparison of prognostic scales in Chinese patients with ischemic stroke: a prospective study from CATIS

BACKGROUND

: Various tools are currently available to quantify the risks of adverse clinical outcomes after an ischemic stroke. This study aimed to validate and compare prognostic scales among Chinese patients with ischemic stroke.

METHODS

: We compared three stroke prognostic scales (Stroke Prognostication using Age and the National Institutes of Health Stroke Scale-100 [SPAN-100], Totaled Health Risks in Vascular Events [THRIVE], and Acute Stroke Registry and Analysis of Lausanne [ASTRAL]) in 3870 Chinese patients with ischemic stroke from the China Antihypertensive Trial in Acute Ischemic Stroke (CATIS). The 2-year primary outcome was a combination of death and major disability (modified Rankin Scale score ≥3).

RESULTS

: Among all the scales, the ASTRAL score had the best accuracy for predicting 2-year prognosis in Chinese patients with ischemic stroke. The C-statistic of the ASTRAL score for the 2-year primary outcome was 0.79 (95% confidence interval [CI]: 0.78-0.80), and the Hosmer-Lemeshow goodness-of-fit test showed that the ASTRAL score fitted Chinese patients with ischemic stroke well (χ² = 9.83, P = 0.277). The incidences of the primary outcome in the <5%, 5%-9.9%, 10%-19.9%, and ≥20% risk groups based on the ASTRAL scores were 3.93%, 7.55%, 14.29%, and 41.81%, respectively (odds ratio: 1.23; 95% CI: 1.21-1.26; P < 0.001).

CONCLUSION

: The ASTRAL score had higher efficacy than the SPAN-100 and THRIVE scores in predicting 2-year adverse outcomes among Chinese patients with ischemic stroke, suggesting that it could be a valuable risk assessment tool for the 2-year prognosis of such patients.

The association of ischaemic stroke in patients with heart failure without atrial flutter/fibrillation

Purpose

This study evaluated the association between ischaemic stroke (IS) and heart failure (HF) in the absence of atrial fibrillation (AF) or atrial flutter (AFL) using a population-based nation-wide cohort database.

Method

Newly diagnosed patients with HF without previous stroke and acute myocardial infarction (AMI) were enrolled. Based on the propensity scores matching age, sex and all comorbidities, our studies comprised 12 179 patients with HF and 12 179 patients without HF. Cox proportion hazard regression models and competing-risk regression models were used to evaluate the risk of IS among patients with HF without AF or AFL.

Results

In the multivariable analysis, older age (adjusted HR (95% CI)=1.05 (1.04 to 1.05)), male sex (adjusted HR (95% CI)=1.36 (1.24 to 1.50)), diabetes (adjusted HR (95% CI)=2.22 (1.97 to 2.49)) and hypertension (adjusted HR (95% CI)=1.60 (1.41 to 1.82)) were markedly associated with IS in patients with HF. The HF group had a markedly higher risk of IS than did the non-HF group (subdistribution HR (SHR)=1.51, 95% CI: 1.37 to 1.66) and AMI (SHR=3.40, 95% CI: 2.71 to 4.28). Additionally, according to the Kaplan-Meier analysis, patients with HF were at a significantly higher risk of cumulative incidence of IS and AMI than did patients with non-HF (p value of log-rank test <0.001).

Conclusion

This study indicated that HF is a strong independent risk factor for IS, even in the absence of AF or AFL. Clinical physicians should investigate IS through routine screening and careful monitoring of patients with HF.

The role of KATP channels in cerebral ischemic stroke and diabetes

ATP-sensitive potassium (KATP) channels are ubiquitously expressed on the plasma membrane of cells in multiple organs, including the heart, pancreas and brain. KATP channels play important roles in controlling and regulating cellular functions in response to metabolic state, which are inhibited by ATP and activated by Mg-ADP, allowing the cell to couple cellular metabolic state (ATP/ADP ratio) to electrical activity of the cell membrane. KATP channels mediate insulin secretion in pancreatic islet beta cells, and controlling vascular tone. Under pathophysiological conditions, KATP channels play cytoprotective role in cardiac myocytes and neurons during ischemia and/or hypoxia. KATP channel is a hetero-octameric complex, consisting of four pore-forming Kir6.x and four regulatory sulfonylurea receptor SURx subunits. These subunits are differentially expressed in various cell types, thus determining the sensitivity of the cells to specific channel modifiers. Sulfonylurea class of antidiabetic drugs blocks KATP channels, which are neuroprotective in stroke, can be one of the high stoke risk factors for diabetic patients. In this review, we discussed the potential effects of KATP channel blockers when used under pathological conditions related to diabetics and cerebral ischemic stroke.

Highly sensitive and selective non-enzymatic monosaccharide and disaccharide sugar sensing based on carbon paste electrodes modified with perforated NiO nanosheets

Fabrication and characterization of enzyme-free electrochemical sensor for the sensing of monosaccharide and disaccharide sugars based on perforated NiO nanosheets (NSs).

Diabetes mellitus and stroke: A clinical update

Cardiovascular disease including stroke is a major complication that tremendously increases the morbidity and mortality in patients with diabetes mellitus (DM). DM poses about four times higher risk for stroke. Cardiometabolic risk factors including obesity, hypertension, and dyslipidaemia often co-exist in patients with DM that add on to stroke risk. Because of the strong association between DM and other stroke risk factors, physicians and diabetologists managing patients should have thorough understanding of these risk factors and management. This review is an evidence-based approach to the epidemiological aspects, pathophysiology, diagnostic work up and management algorithms for patients with diabetes and stroke.

High-performance glucose biosensor based on chitosan-glucose oxidase immobilized polypyrrole/Nafion/functionalized multi-walled carbon nanotubes bio-nanohybrid film

A highly electroactive bio-nanohybrid film of polypyrrole (PPy)-Nafion (Nf)-functionalized multi-walled carbon nanotubes (fMWCNTs) nanocomposite was prepared on the glassy carbon electrode (GCE) by a facile one-step electrochemical polymerization technique followed by chitosan-glucose oxidase (CH-GOx) immobilization on its surface to achieve a high-performance glucose biosensor. The as-fabricated nanohybrid composite provides high surface area for GOx immobilization and thus enhances the enzyme-loading efficiency. The structural characterization revealed that the PPy-Nf-fMWCNTs nanocomposite films were uniformly formed on GCE and after GOx immobilization, the surface porosities of the film were decreased due to enzyme encapsulation inside the bio-nanohybrid composite materials. The electrochemical behavior of the fabricated biosensor was investigated by cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), and amperometry measurements. The results indicated an excellent catalytic property of bio-nanohybrid film for glucose detection with improved sensitivity of 2860.3μAmM(-1)cm(-2), the linear range up to 4.7mM (R(2)=0.9992), and a low detection limit of 5μM under a signal/noise (S/N) ratio of 3. Furthermore, the resulting biosensor presented reliable selectivity, better long-term stability, good repeatability, reproducibility, and acceptable measurement of glucose concentration in real serum samples. Thus, this fabricated biosensor provides an efficient and highly sensitive platform for glucose sensing and can open up new avenues for clinical applications.