Persons living with type 2 diabetes mellitus (T2DM) have a significantly greater risk of stroke (1.5 to 3 times higher than normoglycemic individuals). The traditional approach to primary and secondary stroke prevention has been control of risk factors. While this has resulted in prolongation of life in patients with diabetes, the risk for recurrent stroke in these patients still remains higher than in the normoglycemic population, and patients with T2DM post stroke have a poorer quality of life (increases in handicap and death).

Multiple publications on the pathophysiology which increases stroke in T2DM were reviewed as well as new publications looking at the effect of traditional and new risk factor modification on stroke are summarized.

Traditional risk factor modification is refined with recommended levels of lipids and blood pressure and methods of anticoagulation. More recently, studies with antidiabetic drugs (glucagon-like peptide 1 RA and pioglitazone) have been shown to prevent both primary and secondary stroke in patients with diabetes.

Worldwide, stroke is the second leading cause of death and the third leading cause of disability. Both risk and the outcomes are greatly worsened by the presence of T2DM. Newer recommendations can improve these outcomes.

Stroke survivors with type 2 diabetes mellitus (DM) face heightened cardiovascular risks, which are exacerbated by sedentary behaviour (SB). Despite existing interventions, there remains a gap in the literature regarding effective strategies to reduce SB and increase physical activity (PA). The purpose of this study was to explore the feasibility and safety of the 12-week 'Everyday Life is Rehabilitation' (ELiR) intervention comprising recruitment, adherence, practicality, and implementation into everyday life.

Single-group longitudinal intervention study with 1-week baseline, motivational interviews at weeks 1 and 6, and 12-week follow-up. Stroke survivors with DM (N = 14) were recruited from Neurovascular Center at Zealand University Hospital, Roskilde. The ELiR intervention is a theory-based intervention that focuses on healthcare professionals (HCP) consultations with stroke survivors with DM to address SB and PA. Primary outcomes were recruitment, adherence, completion of physical tests (accelerometer measurements), cognitive tests, and safety. Secondary outcomes were sedentary time and steps collected using an accelerometer and glycated haemoglobin (HbA1c) measurements.

23 participants were recruited, of whom two were readmitted, one withdrew consent before the baseline test, and six were not discharged with a physiotherapy rehabilitation plan within 1-7 hospitalisation days. The remaining 14 were included and completed the study with a median modified Rankin scale (mRS) score of 1. The ELiR intervention revealed high adherence. Three participants experienced falls, and two were hospitalised. These incidents were not related to the intervention. Future adjustments include modified inclusion criteria, SMS-reminders, and point-of-care HbA1c measurements.

The ELiR intervention was feasible and safe. Falls and serious adverse events are in line with previously reported risks. Self-reported questionnaires and clinical tests had low and moderate adherence, whereas accelerometers had high adherence. However, the small sample size limits generalisability, and adjustments to the ELiR intervention are suggested to improve usability in physiotherapy practice before testing in RCT studies to confirm these findings.

Type 2 diabetes (T2D) is a prevalent chronic disease in the Korean population, influenced by lifestyle, dietary habits, and genetics. This study aimed to identify the effects of food intake and genetic factors on T2D progression in Korean adults using a multi-state illness-death model. We analyzed three transition models: normal glucose tolerance (NGT) to prediabetes (PD), NGT to T2D, and PD to T2D. We first identified dietary patterns significantly associated with each transition, using multivariate Cox proportional hazards models. Then, we assessed the impact of single-nucleotide polymorphisms (SNPs) on each transition, incorporating these dietary patterns as covariates. Our analysis revealed significant associations between the identified dietary patterns and the risk of PD and T2D incidence among individuals with NGT. We also identified novel genetic variants associated with disease progression: two SNPs (rs4607517 in Glucokinase [GCK] and rs758982 in Calcium/Calmodulin-Dependent Protein Kinase II Beta [CAMK2B]) in the NGT to PD model, and eight SNPs in the NGT to T2D model, including variants in the Zinc Finger Protein 106 (ZNF106), PTOV1 Extended AT-Hook Containing Adaptor Protein (PTOV1), Proprotein Convertase Subtilisin/Kexin Type 2 (PCSK2), Forkhead Box D2 (FOXD2), Solute Carrier Family 38 Member 7 (SLC38A7), and Neuronal Growth Regulator 1 (NEGR1) genes. Functional annotation analysis using ANNOVAR revealed that rs4607517 (GCK) and rs59595912 (PTOV1) exhibited high Combined Annotation-Dependent Depletion (CADD) and Deleterious Annotation of Genetic Variants using Neural Networks (DANN) scores, suggesting potential pathogenicity and providing a functional basis for their association with T2D progression. Integrating dietary and genetic factors with a multi-state model, this comprehensive approach offers valuable insights into T2D development and highlights potential targets for prevention and personalized interventions.

Background/Objectives: Kinesiophobia, or the fear of movement, is a significant problem in the rehabilitation of patients after a stroke, especially in individuals with diabetes, who have an increased risk of health complications. The aim of the study was to validate the Tampa Scale for Kinesiophobia (TSK) for assessing kinesiophobia in the context of patients with diabetes complicated by stroke to ensure its adequacy and reliability in this specific group of patients. Methods: After considering exclusion criteria, 166 patients with type 2 diabetes after ischemic stroke, hospitalized in the neurological rehabilitation ward, were included in the analysis. A survey using the TSK was conducted in the study group. A reliability analysis of the questionnaire was conducted, and then exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to disclose the number of factors that characterize the study group. Results: The Cronbach's alpha value for the entire scale is 0.875. The value for all the questions on the scale was also above 0.86, so they are considered reliable. Removing any question does not increase the value of Cronbach's alpha or Guttman index. Based on the scree plot, two factors were identified. The first factor includes 12 items and forms a physical factor, while the second factor includes 5 items and forms a psychological factor. The fit of the two-factor model was checked using confirmatory factor analysis. The final two-factor model has an acceptable fit. All the factor loadings are statistically significant. The factor loadings range from 0.262 to 0.729 for the physical factor and from 0.543 to 0.822 for the psychological factor. Conclusions: The TSK is a reliable and valid tool for assessing the level of kinesiophobia in a group of patients with type 2 diabetes complicated by stroke. The results of the study using this tool may contribute to the development of more effective therapeutic strategies that take into account the specific physical and psychological needs of this group of patients.

People with type 1 diabetes (T1D) have a significantly elevated risk of stroke, but the mechanism through which T1D worsens ischemic stroke remains unclear. This study was aimed at investigating the roles of T1D-associated changes in the gut microbiota in aggravating ischemic stroke and the underlying mechanism. Fecal 16SrRNA sequencing indicated that T1D mice and mice with transplantation of T1D mouse gut microbiota had lower relative abundance of butyric acid producers, f_Erysipelotrichaceae and g_Allobaculum, and lower content of butyric acid in feces. After middle cerebral artery occlusion (MCAO), these mice had poorer neurological outcomes and more severe inflammation, but higher expression of myeloid differentiation factor 88 (MyD88) in the ischemic penumbra; moreover, the microglia were inclined to polarize toward the pro-inflammatory type. Administration of butyrate to T1D mice in the drinking water alleviated the neurological damage after MCAO. Butyrate influenced the response and polarization of BV2 and decreased the production of inflammatory cytokines via MyD88 after oxygen-glucose deprivation/reoxygenation. Knocking down MyD88 in the brain alleviated neurological outcomes and decreased the concentrations of inflammatory cytokines in the brain after stroke in mice with transplantation of T1D mouse gut microbiota. Poor neurological outcomes and aggravated inflammatory responses of T1D mice after ischemic stroke may be partly due to differences in microglial polarization mediated by the gut microbiota-butyrate-MyD88 pathway. These findings provide new ideas and potential intervention targets for alleviating neurological damage after ischemic stroke in T1D.

The prognosis for stroke patients with type 2 diabetes mellitus (T2DM) remains poorly understood. We examined the risk of mortality and stroke recurrence in stroke patients with T2DM and stroke patients without diabetes.

We conducted a population-based cohort study including all patients diagnosed with a first-time ischemic stroke (n = 131,594) or intracerebral hemorrhage (ICH, n = 15,492) in Denmark, 2005-2021. Patients with T2DM were identified using hospital diagnosis codes and glucose-lowering drug prescriptions. We calculated risks, risk differences, and risk ratios, standardized by age, sex, and calendar year of stroke admission.

Following ischemic stroke, the 5-year standardized mortality was 46.1% for patients with T2DM and 35.4% for patients without diabetes (standardized risk difference: 10.7% [95% CI 9.9-11.6]; risk ratio: 1.3 [95% CI 1.3-1.3]). The 5-year risk of recurrence following ischemic stroke was 12.7% for patients with T2DM and 11.3% for those without diabetes (risk difference: 1.4% [95% CI 0.9-2.0]; risk ratio: 1.1 [95% CI 1.1-1.2]). Following ICH, the 5-year mortality was 62.8% for patients with T2DM and 53.0% for patients without diabetes (risk difference: 9.8% [95% CI 7.2-12.4)]; risk ratio: 1.2 [95% CI 1.1-1.2]). The 5-year risk of recurrence after ICH was 9.1% for patients with T2DM and 9.7% for patients without diabetes.

Stroke patients with T2DM were at increased risk of mortality. The risk of stroke recurrence was slightly higher for ischemic stroke patients with T2DM than patients without diabetes, while no difference was observed among ICH patients.

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2025 AHA Statistical Update is the product of a full year's worth of effort in 2024 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. This year's edition includes a continued focus on health equity across several key domains and enhanced global data that reflect improved methods and incorporation of ≈3000 new data sources since last year's Statistical Update.

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Contemporary estimates of the impact of type 2 diabetes (T2D) on stroke outcomes are important for care planning and resource allocation. This retrospective cohort study compared the incidence of stroke and subsequent clinical and economic outcomes following stroke among people with and without T2D.

Data were extracted from a subset of the French Système National des Données de Santé database. Stroke incidence as well as post-stroke clinical outcomes, healthcare resource utilization (HCRU), use of stroke preventative treatments, and costs were compared among people with and without T2D.

The study included 10,906 patients hospitalized for stroke including 2141 (19.6%) people with T2D. Age-standardized stroke incidence rates were 3.3 (95% confidence interval [CI] 3.1; 3.6) per 1000 person-years and 2.2 (2.1; 2.3) in people with and without T2D, respectively. Patients with T2D had significantly higher risk of stroke recurrence (adjusted hazard ratio [HR] 1.14, 95% CI: 1.01; 1.30) and mortality (HR 1.16, 95% CI: 1.08; 1.25) than patients without T2D. The proportion of patients with T2D treated with statins decreased from 27.3% pre-stroke to 20.6% post-stroke but remained relatively stable among patients without T2D (from 13.4% to 13.1%). The mean healthcare costs in the 12 months following stroke were higher among patients with T2D than those without (€22,635 vs €18,629).

The incidence and clinical and economic burden of stroke is considerably higher among people with T2D. Further efforts are needed to reduce this disparity.

This cohort study aimed to evaluate the prognostic outcomes of patients with acute ischemic stroke (AIS) and diabetes mellitus following intravenous thrombolysis, utilizing machine learning techniques. The analysis was conducted using data from Shenyang First People's Hospital, involving 3,478 AIS patients with diabetes who received thrombolytic therapy from January 2018 to December 2023, ultimately focusing on 1,314 patients after screening. The primary outcome measured was the 90-day Modified Rankin Scale (MRS). An 80/20 train-test split was implemented for model development and validation, employing various machine learning classifiers, including artificial neural networks (ANN), random forest (RF), XGBoost (XGB), and LASSO regression. Results indicated that the average accuracy of the XGB model was 0.7355 (±0.0307), outperforming the other models. Key predictors for prognosis post-thrombolysis included the National Institutes of Health Stroke Scale (NIHSS) and blood platelet count. The findings underscore the effectiveness of machine learning algorithms, particularly XGB, in predicting functional outcomes in diabetic AIS patients, providing clinicians with a valuable tool for treatment planning and improving patient outcome predictions based on receiver operating characteristic (ROC) analysis and accuracy assessments.

Background/Objectives: Despite the widespread use of oral anticoagulants (OACs), acute ischemic stroke (AIS) remains a significant risk for patients with atrial fibrillation (AF). The real-world effectiveness of OACs in preventing recurrent strokes, particularly following an initial stroke of cardioembolic (CE) origin, continues to be a major challenge for clinicians managing AF patients. This study evaluated the efficacy of OACs in secondary stroke prevention and investigated the influence of anticoagulation type and quality on recurrence risk. Methods: We analyzed data from 128 AF patients in the prospective Transzlációs Idegtudományi Nemzeti Laboratórium (TINL) STROKE-registry, admitted with CE stroke between February 2023 and September 2024. Patients were categorized by anticoagulation status at admission (OAC-users, n = 89; anticoagulation-naïve, n = 39). Recurrence rates were assessed using logistic regression models, adjusted for age, sex, hypertension, diabetes, and pre-stroke disability. Subgroup analyses explored the effects of anticoagulation type and quality. Results: Recurrence rates were similar between the OAC-treated and anticoagulation-naïve patients after adjusting for confounders (19.10% vs. 17.95%, p = 0.870). Among the anticoagulated patients, neither anticoagulation type nor quality alone significantly influenced the recurrence risk. However, their interaction was statistically significant (p = 0.049), suggesting that the effectiveness of anticoagulation in preventing strokes is strongly affected by treatment quality. Conclusions: Although OACs are a cornerstone of stroke prevention in patients with AF, their efficacy in reducing recurrence depends on optimal management. These findings highlight that adequate anticoagulation, not just its use, is critical to minimize recurrence risk. To effectively prevent strokes in high-risk AF patients, future strategies must focus on standardized protocols, tailored monitoring, and individualized dosing regimens.

Considering the reliance of serum uric acid (SUA) levels on renal clearance function, its role in stroke outcomes remains controversial. This study investigated the association of renal function-normalized SUA (SUA to serum creatinine ratio, SUA/SCr), a novel renal function index, with the 1-year outcomes in patients with acute ischemic stroke (AIS).

This is a prospective, multicenter observational study. Renal function-normalized SUA levels were determined by calculating the ratio of SUA to SCr. One-year outcomes included stroke recurrence, all-cause mortality, and poor prognosis. Multivariable Cox regression analyses and restriction cubic splines for curve fitting were used to evaluate SUA/SCr's association with 1-year stroke outcomes.

Among 2294 enrolled patients, after adjustment for potential confounders, multivariable Cox regression analyses showed that each one-unit increase in SUA/SCr corresponded to a 19% decrease in 1-year stroke recurrence in patients with AIS. SUA/SCr was analyzed as a continuous variable and categorized into quartiles (Q1-Q4). Compared with the Q1 reference group, Q2, Q3, and Q4 showed significantly lower 1-year stroke recurrence risks. The trend test indicated significant differences in the 1-year stroke recurrence trend from Q1 to Q4. In these patients, SUA/SCr did not show a significant association with poor prognosis or all-cause mortality. Curve fitting revealed SUA/SCr had a negative but nonlinear association with 1-year stroke recurrence.

In patients with AIS, low SUA/SCr may be an independent risk factor for 1-year stroke recurrence. Changes in SUA/SCr had no significant impact on 1-year poor prognosis and all-cause mortality.

There is limited understanding of the link between exposure to heavy metals and ischemic stroke (IS). This research aimed to develop efficient and interpretable machine learning (ML) models to associate the relationship between exposure to heavy metals and IS.

The data of this research were obtained from the National Health and Nutrition Examination Survey (US NHANES, 2003-2018) database. Seven ML models were used to identify IS caused by exposure to heavy metals. To assess the strength of the models, we employed 10-fold cross-validation, the area under the curve (AUC), F1 scores, Brier scores, Matthews correlation coefficient (MCC), precision-recall (PR) curves, and decision curve analysis (DCA) curves. Following these tests, the best-performing model was selected. Finally, the DALEX package was used for feature explanation and decision-making visualization.

A total of 15,575 participants were involved in this study. The best-performing ML models, which included logistic regression (LR) (AUC: 0.796) and XGBoost (AUC: 0.789), were selected. The DALEX package revealed that age, total mercury in blood, poverty-to-income ratio (PIR), and cadmium were the most significant contributors to IS in the logistic regression and XGBoost models.

The logistic regression and XGBoost models showed high efficiency, accuracy, and robustness in identifying associations between heavy metal exposure and IS in NHANES 2003-2018 participants.

Diabetes mellitus (DM), prediabetes, and insulin resistance are highly prevalent in patients with ischemic stroke (IS). DM is associated with higher risk for poor outcomes after IS.

Investigate the risk of recurrent vascular events and mortality associated with impaired glucose metabolism compared to normoglycemia in patients with IS and transient ischemic attack (TIA).

Systematic literature search was performed in PubMed, Embase, Cochrane Library on 21st March 2024 and via citation searching. Studies that comprised IS or TIA patients and exposures of impaired glucose metabolism were eligible. Study Quality Assessment Tool was used for risk of bias assessment. Covariate adjusted outcomes were pooled using random-effects meta-analysis.

Recurrent stroke, cardiac events, cardiovascular and all-cause mortality and composite of vascular outcomes.

Of 10,974 identified studies 159 were eligible. 67% had low risk of bias. DM was associated with an increased risk for composite events (pooled HR (pHR) including 445,808 patients: 1.58, 95% CI 1.34-1.85, I2 = 88%), recurrent stroke (pHR including 1.161.527 patients: 1.42 (1.29-1.56, I2 = 92%), cardiac events (pHR including 443,863 patients: 1.55, 1.50-1.61, I2 = 0%), and all-cause mortality (pHR including 1.031.472 patients: 1.56, 1.34-1.82, I2 = 99%). Prediabetes was associated with an increased risk for composite events (pHR including 8,262 patients: 1.50, 1.15-1.96, I2 = 0%) and recurrent stroke (pHR including 10,429 patients: 1.50, 1.18-1.91, I2 = 0), however, not with mortality (pHR including 9,378 patients, 1.82, 0.73-4.57, I2 = 78%). Insulin resistance was associated with recurrent stroke (pHR including 21,363 patients: 1.56, 1.19-2.05, I2 = 55%), but not with mortality (pHR including 21,363 patients: 1.31, 0.66-2.59, I2 = 85%).

DM is associated with a 56% increased relative risk of death after IS and TIA. Risk estimates regarding recurrent events are similarly high between prediabetes and DM, indicating high cardiovascular risk burden already in precursor stages of DM. There was a high heterogeneity across most outcomes.

Limited data are available on transcatheter patent foramen ovale (PFO) closure outcomes in the elderly.

Through this study, we aimed to determine the incidence and predictors of adverse events (recurrent cerebrovascular events [CVE] and atrial fibrillation [AF]) post-PFO closure in older patients with cryptogenic events.

This multicentre international study included patients over 60 years undergoing PFO closure for cryptogenic thromboembolic events. A dedicated database compiled baseline, procedural, and follow-up data. Competing risk and adjusted outcome predictor analyses were conducted.

A total of 689 patients were included (median age 65 years, 41.2% female, mean Risk of Paradoxical Embolism [RoPE] score 4.5). The procedural success rate was 99.4%. After a median follow-up of 2 (interquartile range 1-5) years, 66 patients (9.6%) had died. CVE and stroke rates were 1.21 and 0.55 per 100 patient-years, respectively. Diabetes (hazard ratio [HR] 3.89, 95% confidence interval [CI]: 1.67-9.07; p=0.002) and atrial septal aneurysm (ASA; HR 5.25, 95% CI: 1.56-17.62; p=0.007) increased the CVE risk. New-onset AF occurred at a rate of 3.30 per 100 patient-years, with 51.3% within one month post-procedure. Older age (HR 1.05 per year, 95% CI: 1.00-1.09; p=0.023) and the absence of hypertension (HR 2.04, 95% CI: 1.19-3.57; p=0.010) were associated with an increased risk of AF.

Older patients undergoing PFO closure had a relatively low rate of CVE and new-onset AF after a median follow-up of 2 years. The presence of diabetes, ASA, and a more advanced age determined an increased risk of adverse clinical events. These factors may be considered in the clinical decision-making process regarding PFO closure in this challenging population.

Recent research has underscored the potentially protective role of dietary antioxidants against chronic conditions, such as cardiovascular diseases and stroke. The composite dietary antioxidant index (CDAI), which reflects the overall intake of key dietary antioxidants, has been identified as a crucial metric for exploring this relationship. Although previous research has shown a negative correlation between CDAI levels and stroke risk in prediabetic individuals, there remains a substantial gap in understanding this association among individuals with dia-betes, who are at an inherently greater risk for cerebrovascular events.

To investigate the association between CDAI and stroke risk in individuals with diabetes.

Using a cross-sectional study design, this investigation analyzed data from the National Health and Nutrition Examination Survey spanning from 2003 to 2018 that included 6735 participants aged over 20 years with diabetes. The CDAI was calculated from 24-h dietary recalls to assess intake of key antioxidants: Vitamins A, C, and E; carotenoids; selenium; and zinc. Multivariate logistic regression and restricted cubic spline analysis were used to rigorously examine the relationship between CDAI and stroke risk.

The participant cohort, with an average age of 59.5 years and a slight male majority, reflected the broader demographic characteristics of individuals with diabetes. The analysis revealed a strong inverse relationship between CDAI levels and stroke risk. Remarkably, those in the highest quintile of CDAI demonstrated a 43% lower prevalence of stroke compared to those in the lowest quintile, even after adjustments for various confounders. This finding not only highlights the negative association between CDAI and stroke risk but also underscores the significant potential of antioxidant-rich diets in reducing stroke prevalence among patients with diabetes.

Our findings suggested that CDAI was inversely associated with stroke prevalence among patients with diabetes. These results suggest incorporating antioxidant-rich foods into dietary regimens as a potential strategy for stroke prevention.

Secondary stroke preventive care includes evaluation and control of vascular risk factors to prevent stroke recurrence. Our objective was to evaluate the quality of ambulatory stroke preventive care and its variation by immigration status in adult stroke survivors in Ontario, Canada.

We conducted a population-based administrative database-derived retrospective cohort study in Ontario, Canada. Using immigration records, we defined immigrants as those immigrating after 1985 and long-term residents as those arriving before 1985 or those born in Canada. We included community-dwelling stroke survivors 40 years and older with a first-ever stroke between 2011 and 2017. In the year following their stroke, we evaluated the following metrics of stroke prevention: testing for hyperlipidemia and diabetes; among those with the condition, control of diabetes (hemoglobin A1c ≤7%) and hyperlipidemia (low-density lipoprotein <2 mmol/L); medication use to control hypertension, diabetes, and atrial fibrillation; and visit to a family physician and a specialist (neurologist, cardiologist, or geriatrician). We determined age and sex-adjusted absolute prevalence difference (APD) between immigrants and long-term residents for each metric using generalized linear models with binomial distribution and an identity link function.

We included 34,947 stroke survivors (median age 70 years, 46.9% women) of whom 12.4% were immigrants. The receipt of each metric ranged from 68% to 90%. Compared with long-term residents, after adjusting for age and sex, immigrants were slightly more likely to receive screening for hyperlipidemia (APD 5.58%; 95% CI 4.18-6.96) and diabetes (5.49%; 3.76-7.23), have visits to family physicians (1.19%; 0.49-1.90), receive a prescription for antihypertensive (3.12%; 1.76-4.49) and antihyperglycemic medications (9.51%; 6.46-12.57), and achieve control of hyperlipidemia (3.82%; 1.01-6.63). By contrast, they were less likely to achieve diabetes control (-4.79%; -7.86 to -1.72) or have visits to a specialist (-1.68%; -3.12 to -0.24). There was minimal variation by region of origin or time since immigration in immigrants.

Compared with long-term residents, many metrics of secondary stroke preventive care were better in immigrants, albeit with small absolute differences. However, future work is needed to identify and mitigate the factors associated with the suboptimal quality of stroke preventive care for all stroke survivors.

People with type 2 diabetes (T2D) are at elevated risk of cardiovascular disease (CVD) including stroke, yet existing real-world evidence (RWE) on the clinical and economic burden of stroke in this population is limited. The aim of this cohort study was to evaluate the clinical and economic burden of stroke among people with T2D in France.

We conducted a retrospective RWE study using data from the nationally representative subset of the French Système National des Données de Santé (SNDS) database. We assessed the incidence of stroke requiring hospitalization between 2012 and 2018 among T2D patients. Subsequent clinical outcomes including CVD, stroke recurrence, and mortality were estimated overall and according to stroke subtype (ischemic versus hemorrhagic). We also examined the treatment patterns for glucose-lowering agents and CVD agents, health care resource utilization and medical costs.

Among 45,331 people with T2D without baseline history of stroke, 2090 (4.6%) had an incident stroke requiring hospitalization. The incidence of ischemic stroke per 1000 person-years was 4.9-times higher than hemorrhagic stroke (6.80 [95% confidence interval (CI) 6.47-7.15] versus 1.38 [1.24-1.54]). During a median follow-up of 2.4 years (interquartile range 0.6; 4.4) from date of index stroke, the rate of CVD, stroke recurrence and mortality per 1000 person-years was higher among hemorrhagic stroke patients than ischemic stroke patients (CVD 130.9 [107.7-159.0] versus 126.4 [117.2-136.4]; stroke recurrence: 86.7 [66.4-113.4] versus 66.5 [59.2-74.6]; mortality 291.5 [259.1-327.9] versus 144.1 [134.3-154.6]). These differences were not statistically significant, except for mortality (adjusted hazard ratio 1.95 [95% CI 1.66-2.92]). The proportion of patients prescribed glucagon-like peptide-1 receptor agonists increased from 4.2% at baseline to 6.6% during follow-up. The proportion of patients prescribed antihypertensives and statins only increased slightly following incident stroke (antihypertensives: 70.9% pre-stroke versus 76.7% post-stroke; statins: 24.1% pre-stroke versus 30.0% post-stroke). Overall, 68.8% of patients had a subsequent hospitalization. Median total medical costs were €12,199 (6846; 22,378).

The high burden of stroke among people with T2D, along with the low proportion of patients receiving recommended treatments as per clinical guidelines, necessitates a strengthened and multidisciplinary approach to the CVD prevention and management in people with T2D.

Ischemic stroke (IS) is the main cause of death and adult disability. However, the pathogenesis of this complicated disease is unknown. The present study aimed to assess the relationship between ITLN1 single nucleotide polymorphisms (SNPs) and the susceptibility to IS in Xi'an population, Shaanxi province.

In this study, we designed polymerase chain reaction (PCR) primers located at -3,308 bp upstream of the transcription initiation site within promoter region of the ITLN1 gene. The target fragment was amplified by PCR and identified by agarose gel electrophoresis. Sanger sequencing was then performed in the samples extracted from a cohort comprising 1,272 participants (636 controls and 636 cases), and the obtained sequences were compared with the reference sequences available on the National Center for Biotechnology Information (NCBI) website to detect SNPs in the ITLN1 gene promoter region. Logistic regression analysis was employed to assess the relationship between ITLN1 polymorphisms and IS risk, with adjustments for age and gender. Significant positive results were tested by false-positive report probability (FPRP) and false discovery rate (FDR). The interaction among noteworthy SNPs and their predictive relationship with IS risk were explored using the Multi-Factor Dimensionality Reduction (MDR) software.

The results of Sanger sequencing were compared with the reference sequences on the NCBI website, and we found 14 SNPs in ITLN1 gene promoter satisfied Hardy-Weinberg equilibrium (HWE). Logistic regression analysis showed that ITLN1 was associated with a decreased risk of IS (rs6427553: Homozygous C/C: adjusted OR: 0.69, 95% CI [0.48-0.97]; Log-additive: adjusted OR: 0.83, 95% CI [0.70-0.98]; rs7411035: Homozygous G/G: adjusted OR: 0.66, 95% CI [0.47-0.94]; Dominant G/T-G/G: adjusted OR: 0.78, 95% CI [0.62-0.98]; Log-additive: adjusted OR: 0.81, 95% CI [0.69-0.96]; rs4656958: Heterozygous G/A: adjusted OR: 0.74, 95% CI [0.59-0.94]; Homozygous A/A: adjusted OR: 0.51, 95% CI [0.31-0.84]; Dominant G/A-A/A: adjusted OR: 0.71, 95% CI [0.57-0.89]; Recessive A/A: adjusted OR: 0.59, 95% CI [0.36-0.96]; Log-additive: adjusted OR: 0.73, 95% CI [0.61-0.88]), especially in people aged less than 60 years and males.

In short, our study revealed a correlation between ITLN1 variants (rs6427553, rs7411035 and rs4656958) and IS risk in Xi'an population, Shaanxi province, laying a foundation for ITLN1 gene as a potential biomarker for predicting susceptibility to IS.

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

It is unknown whether high hemoglobin A1c (HbA1c) is associated with increases in the risk of cardiovascular disease among individuals with elevated genetic susceptibility. We aimed to investigate the association between HbA1c and atrial fibrillation (AF), coronary artery disease (CAD), and ischemic stroke according to the polygenic risk score (PRS).

The UK Biobank cohort included 502,442 participants aged 40-70 years who were recruited from 22 assessment centers across the United Kingdom from 2006 to 2010. This study included 305,605 unrelated individuals with available PRS and assessed new-onset AF, CAD, and ischemic stroke. The participants were divided into tertiles based on the validated PRS for each outcome. Within each PRS tertiles, the risks of incident events associated with HbA1c levels were investigated and compared with HbA1c < 5.7% and low PRS. Data were analyzed from November 2022 to May 2023.

Of 305,605 individuals, 161,605 (52.9%) were female, and the mean (SD) age was 56.6 (8.1) years. During a median follow-up of 11.9 (interquartile range 11.1-12.6) years, the incidences of AF, CAD, and ischemic stroke were 4.6, 2.9 and 1.1 per 100 person-years, respectively. Compared to individuals with HbA1c < 5.7% and low PRS, individuals with HbA1c ≥ 6.5% and high PRS had a 2.67-times higher risk for AF (hazard ratio [HR], 2.67; 95% confidence interval (CI), 2.43-2.94), 5.71-times higher risk for CAD (HR, 5.71; 95% CI, 5.14-6.33) and 2.94-times higher risk for ischemic stroke (HR, 2.94; 95% CI, 2.47-3.50). In the restricted cubic spline models, while a U-shaped trend was observed between HbA1c and the risk of AF, dose-dependent increases were observed between HbA1c and the risk of CAD and ischemic stroke regardless PRS tertile.

Our results suggest that the nature of the dose-dependent relationship between HbA1c levels and cardiovascular disease in individuals with different PRS is outcome-specific. This adds to the evidence that PRS may play a role together with glycemic status in the development of cardiovascular disease.

Objectives Compared with the first stroke, neurological impairment caused by stroke recurrence is more serious, more difficult to treat, and has a higher mortality rate, especially among ischemic stroke (IS) patients with diabetes mellitus (DM). Although there are established correlations between factors and IS recurrence, there were some issues regarding the naive hazard of IS recurrence with no risk factor influence, and how does the baseline hazard differ among patients with DM and non-DM? To answer all these questions, two time-to-event (TTE) models of recurrent IS after the index IS were developed among IS patients with DM and non-DM. Method A total of 7697 patients with an index IS attack were extracted from the Malaysian Registry of Neurology and stratified according to DM status. Several parametric survival models were evaluated using nonlinear mixed-effect modeling software (NONMEM 7.5). The final model was determined according to the lowest objective function value, graphical evaluation, numerical diagnostics, and clinical plausibility. Additionally, the final model was validated internally and temporally using Kaplan-Meier visual predictive checks (KM-VPCs). Results One hundred ninety-five (5.82%) of 3493 DM patients and 138 (3.28%) of 4204 non-DM patients developed a recurrent IS with a maximum follow-up of 7.37 years. Gompertz's model best fitted the data. With no influence on risk factors, the index IS attack was predicted to contribute to the hazard of recurrent IS by 0.356 and 0.253 within the first six months after the index IS among patients with and without DM, respectively. Even after six months of index IS, the recurrent IS baseline hazard was not equal to zero among both groups (0.0023, 0.0018). Moreover, after incorporating the time and risk factors, the recurrent hazards increased exponentially during the first three years after the index IS followed by an exponential reduction afterward. The recurrent IS predictors among DM patients were ischemic heart disease (IHD) and hyperlipidemia (HPLD). IHD and HPLD increased the hazard of recurrent IS by 2.40 and 1.88 times, respectively, compared to those without IHD and HPLD before index IS (HR, 2.40 (1.79-3.20)), and (HR, 1.88 (1.44-2.45)) respectively. Conclusion The baseline hazard was the highest during the first six months after the index IS. Moreover, receiving medications for secondary prevention failed to demonstrate a significant association with reducing IS recurrence among IS patients with DM, suggesting a need for more intensive patient screening and new strategies for secondary prevention among IS patients with DM.

Diabetes microangiopathy, a hallmark complication of diabetes, is characterised by structural and functional abnormalities within the intricate network of microvessels beyond well-known and documented target organs, i.e., the retina, kidney, and peripheral nerves. Indeed, an intact microvascular bed is crucial for preserving each organ's specific functions and achieving physiological balance to meet their respective metabolic demands. Therefore, diabetes-related microvascular dysfunction leads to widespread multiorgan consequences in still-overlooked non-traditional target organs such as the brain, the lung, the bone tissue, the skin, the arterial wall, the heart, or the musculoskeletal system. All these organs are vulnerable to the physiopathological mechanisms that cause microvascular damage in diabetes (i.e., hyperglycaemia-induced oxidative stress, inflammation, and endothelial dysfunction) and collectively contribute to abnormalities in the microvessels' structure and function, compromising blood flow and tissue perfusion. However, the microcirculatory networks differ between organs due to variations in haemodynamic, vascular architecture, and affected cells, resulting in a spectrum of clinical presentations. The aim of this review is to focus on the multifaceted nature of microvascular impairment in diabetes through available evidence of specific consequences in often overlooked organs. A better understanding of diabetes microangiopathy in non-target organs provides a broader perspective on the systemic nature of the disease, underscoring the importance of recognising the comprehensive range of complications beyond the classic target sites.

Stroke is the second leading cause of death in adults worldwide. However, up to 80% of strokes can be prevented by modifying risk factors.

The study aims to assess the effectiveness of the Health Ecology Model and Self-Determination Theory (HEM-SDT) based health management intervention among individuals at high risk of stroke.

A randomized controlled trial was conducted in Zhengzhou from May 1st, 2020, to December 31st, 2020. A total of 229 participants were recruited for the study, with 116 individuals at high risk of stroke being randomly assigned to the HEM-SDT health management group, while 113 participants were enrolled in the control group, following their current routine practices. The Generalized Estimating Equation model (GEE) was used to analyze the differences in health knowledge, belief and, behavior between the two groups at the beginning of the intervention, and at 6-month intervals after the intervention. The chi-square test was utilized to assess the control rate of risk factors.

After 6 months of intervention, there were significant improvements in health knowledge, behavior, and belief among the participants. The study found significant differences in the interaction effects between time and group for health knowledge (Mean, SD = 25.62 ± 3.88, 95%CI: 7.944-9.604, P＜0.001), health belief (Mean, SD = 87.18 ± 14.21, 95%CI: 23.999-29.887, P＜0.001), and health behavior (Mean, SD = 173.28 ± 24.22, 95%CI: 22.332-36.904, P＜0.001). Additionally, the rates of hypertension, hyperglycemia, dyslipidemia, high or medium risk condition of stroke, obesity, hyperhomocysteinemia, smoking, alcohol consumption, and lack of exercise also showed statistical significance (P＜0.05) after the intervention.

The HEM-SDT health management model improves the health knowledge, behavior, and beliefs in people at high risk of stroke and remarkably it shows improvement in modifiable risk factors. It can be recommended for systematic health management in people at high-risk of stroke.

Diabetic retinopathy (DR) is a microvascular complication of diabetes that occurs at high frequencies (more than 20%) during the course of the disease. Therefore, we conducted a meta-analysis of the incidence of stroke in DR to determine whether DR is associated with stroke.

The PubMed, Embase and Cochrane databases were systematically searched from their inception to December 1, 2022. Randomized controlled trials (RCTs) that reported DR and stroke events were included. The pooled risk ratio and 95% confidence interval (CI) were calculated. For the incidences of DR and stroke, risk difference and standard error were measured. Sensitivity analysis was performed to assess whether any single study could affect the overall outcome.

Nine RCTs involving 46,599 patients with diabetes were included in this meta-analysis. The incidence of DR in all patients was 0.29 (95% CI 0.20-0.38). The incidence of any stroke in all patients was 0.03 (95% CI 0.03-0.04). The incidence of any stroke in patients with DR was 0.05 (95% CI 0.04-0.07), significant higher than that in all diabetes patients. The pooled risk ratio of stroke in patients with DR was 2.04 (95% CI 1.25-3.32). The estimated risk ratio of stroke in patients with DR without additional conditions was 1.70 (95% CI 1.43-2.03), which was lower than that in patients with DR with additional conditions (2.29, 95% CI 0.93-5.65).

The presence of DR is associated with an increased risk of stroke. Our findings indicate that DR is an important biomarker for the prediction of stroke, and periodic eye examinations should be conducted for stroke prevention.

Stroke is the leading cause of functional disability worldwide, with increasing prevalence in adults. Given the considerable negative impact on patients' quality of life and the financial burden on their families and society, it is essential to provide stroke survivors with a timely and reliable prognosis of stroke recurrence. Leukoaraiosis (LA) is a common neuroimaging feature of cerebral small-vessel disease. By researching the literature of two different databases (MEDLINE and Scopus), the present study aims to review all relevant studies from the last decade, dealing with the clinical utility of pre-existing LA as a prognostic factor for stroke recurrence in stroke survivors. Nineteen full-text articles published in English were identified and included in the present review, with data collected from a total of 34,546 stroke patients. A higher rate of extended LA was strongly associated with stroke recurrence in all stroke subtypes, even after adjustment for clinical risk factors. In particular, patients with ischemic stroke or transient ischemic attack with advanced LA had a significantly higher risk of future ischemic stroke, whereas patients with previous intracerebral hemorrhage and severe LA had a more than 2.5-fold increased risk of recurrent ischemic stroke and a more than 30-fold increased risk of hemorrhagic stroke. Finally, in patients receiving anticoagulant treatment for AF, the presence of LA was associated with an increased risk of recurrent ischemic stroke and intracranial hemorrhage. Because of this valuable predictive information, evaluating LA could significantly expand our knowledge of stroke patients and thereby improve overall stroke care.

Non-cardioembolic ischemic stroke (IS) is the predominant subtype of IS. This study aimed to construct a nomogram for recurrence risks in patients with non-cardioembolic IS in order to maximize clinical benefits. From April 2015 to December 2019, data from consecutive patients who were diagnosed with non-cardioembolic IS were collected from Lanzhou University Second Hospital. The least absolute shrinkage and selection operator (LASSO) regression analysis was used to optimize variable selection. Multivariable Cox regression analyses were used to identify the independent risk factors. A nomogram model was constructed using the "rms" package in R software via multifactor Cox regression. The accuracy of the model was evaluated using the receiver operating characteristic (ROC), calibration curve, and decision curve analyses (DCA). A total of 729 non-cardioembolic IS patients were enrolled, including 498 (68.3%) male patients and 231 (31.7%) female patients. Among them, there were 137 patients (18.8%) with recurrence. The patients were randomly divided into training and testing sets. The Kaplan-Meier survival analysis of the training and testing sets consistently revealed that the recurrence rates in the high-risk group were significantly higher than those in the low-risk group (p < 0.01). Moreover, the receiver operating characteristic curve analysis of the risk score demonstrated that the area under the curve was 0.778 and 0.760 in the training and testing sets, respectively. The nomogram comprised independent risk factors, including age, diabetes, platelet-lymphocyte ratio, leukoencephalopathy, neutrophil, monocytes, total protein, platelet, albumin, indirect bilirubin, and high-density lipoprotein. The C-index of the nomogram was 0.752 (95% CI: 0.705~0.799) in the training set and 0.749 (95% CI: 0.663~0.835) in the testing set. The nomogram model can be used as an effective tool for carrying out individualized recurrence predictions for non-cardioembolic IS.

Stroke is the leading cause of mortality. This study aimed to investigate the association between stroke, comorbidities, and activity of daily living (ADL) among older adults in the United States.

Participants were 1165 older adults aged 60 and older from two waves (2016 and 2018) of the Health and Retirement Study who had a stroke. Descriptive statistics were used to describe demographic information and comorbidities. Logistic regressions and multiple regression analyses were used to determine associations between stroke, comorbidities, and ADL.

The mean age was 75.32 ± 9.5 years, and 55.6% were female. An adjusted analysis shows that older stroke adults living with diabetes as comorbidity are significantly associated with difficulty in dressing, walking, bedding, and toileting. Moreover, depression was significantly associated with difficulty in dressing, walking, bathing, eating, and bedding. At the same time, heart conditions and hypertension as comorbidity were rarely associated with difficulty in ADL. After adjusting for age and sex, heart condition and depression are significantly associated with seeing a doctor for stroke (odds ratio [OR]: 0.66; 95% confidence interval [CI]: 0.49-0.91; p = 0.01) and stroke therapy (OR: 0.46; 95% CI: 0.25-0.84; p = 0.01). Finally, stroke problem (unstandardized β [B] = 0.58, p = 0.017) and stroke therapy (B = 1.42, p < 0.001) significantly predict a lower level of independence.

This study could benefit healthcare professionals in developing further interventions to improve older stroke adults' lives, especially those with a high level of dependence.

Diabetes is a heterogeneous disease that affects 9% of the world's population (11% in the United States). The consequences of diabetes for the brain are severe; it nearly doubles a person's risk of stroke and is a major contributor to risk for cerebral small vessel disease and dementia. These effects on the brain are in addition to peripheral neuropathy, retinopathy, nephropathy, and coronary heart disease. In this article, we explain the treatments that can prevent or mitigate its harmful effects and propose a role for neurologists and other neurology clinicians in managing patients during routine care.

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Diabetes mellitus is a highly prevalent and growing chronic disease that is associated with increased risk of recurrence among several stroke subtypes. However, evidence on the prognostic role of diabetes in the setting of cryptogenic stroke (CS) remains scarce.

From April 2019 to November 2021, we recruited prospectively 78 consecutive patients with CS. Patients were classified according to the presence of diabetes. Main outcome was the composite of stroke recurrence and death. Secondary outcome was stroke recurrence.

Mean age of the cohort was 78 ± 7.7 years and 18 patients (23%) had diabetes. After a median clinical follow-up of 23 months the incidence of stroke recurrence and mortality [HR 5.8 (95% CI 1.9-19), p = 0.002] and the incidence of stroke recurrence [HR 16.6 (95% CI 1.8-149), p = 0.012], were higher in patients with diabetes. After adjusting for potential confounders diabetes was identified as an independent predictor of stroke recurrence and death in patients with CS [HR 33.8 (95% CI 2.1-551), p = 0.013]. Other independent predictors of stroke recurrence and mortality were hypertension [HR 31.4 (95% CI 1.8-550), p = 0.018], NTproBNP [HR 1.002 (95% CI 1.001-1.004), p = 0.013] and chronic kidney disease (CKD) [HR 27.4 (95% CI 1.4-549) p = 0.03]. Furthermore, diabetes was an independent predictor of stroke recurrence [HR 103 (95% CI 1.3-8261), p = 0.038].

Diabetic patients with CS are at higher risk of stroke recurrence and death. Hypertension CKD and NTproBNP are also independent predictors of stroke recurrence and death after CS.

Stroke is a global public health concern with type 2 diabetes being one of the common risk factors. Knowledge of stroke risk factors and warning symptoms among type 2 diabetes patients is largely unknown in developing countries like Ethiopia. The inability to recognize stroke warning symptoms accurately is an important cause of delay in seeking medical attention. We investigated knowledge of stroke risk factors and warning symptoms among adults with type 2 diabetes and the factors associated with these variables.

This was an institution-based cross-sectional study. We enrolled 470 adult type 2 diabetes patients using a systematic random sampling method from four government-managed hospitals in Addis Ababa from 1 to 30 February 2021. The Stroke Recognition Questionnaire was adapted to measure the knowledge of stroke risk factors and warning symptoms. Sociodemographic characteristics, source of information, and reaction to stroke were also measured. Data were analyzed using SPSS version 25 and linear regression analysis was used to determine factors independently associated with knowledge of stroke risk factors and warning symptoms.

The mean age of the participants was 50.6 ± 12.9 years. The mean score of knowledge of stroke risk factors and warning symptoms was 67.2% and 63.9%, respectively. Higher educational level (B = 2.007, 95% CI = 1.101, 2.914, P < 0.001), knowing someone diagnosed with stroke (B = 3.328, 95% CI = 2.734, 3.922, P < 0.001), and living with others (B = 2.28, 95% CI = 1.606, 2.954, P < 0.001) were independently associated with knowledge of stroke risk factors. Younger age (B = - 0.021, 95% CI= -0.038, 0.005, P = 0.01), higher educational level (B = 1.873, 95% CI = 1.017, 2.730, P < 0.001), and knowing someone diagnosed with stroke (B = 3.64, 95% CI = 3.079, 4.200, P < 0.001) were independently associated with knowledge of warning symptoms of stroke.

The mean score of knowledge of stroke risk factors and warning symptoms was 67.2% and 63.9%, respectively. Younger age, higher educational level, and living with other people are predictors of better knowledge of stroke risk factors and warning symptoms in this study. Future educational interventions should target type 2 diabetes adults with advancing age and the involvement of their family members.

H-type hypertension has a high prevalence in China. However, the association of serum homocysteine levels with 1-year stroke recurrence in patients with acute ischemic stroke (AIS) and H-type hypertension has not been studied.

A prospective cohort study of patients with AIS admitted to hospitals between January and December 2015 in Xi'an, China, was conducted. Serum homocysteine levels, demographic data, and other relevant information were collected from all patients upon admission. Stroke recurrences were routinely tracked at 1, 3, 6, and 12 months after discharge. The blood homocysteine level was studied as a continuous variable and tertiles (T1-T3). A multivariable Cox proportional hazard model and a two-piecewise linear regression model were utilized to evaluate the association and ascertain the threshold effect regarding the serum homocysteine level and 1-year stroke recurrence in patients with AIS and H-type hypertension.

Overall, 951 patients with AIS and H-type hypertension were enrolled, of whom 61.1% were male. After adjusting for confounders, patients in T3 had a significantly increased risk of recurrent stroke within 1 year, compared with those in T1 as the reference (hazard ratio = 2.24, 95% confidence interval: 1.01-4.97, p = 0.047). Curve fitting showed that serum homocysteine levels were positively curvilinearly correlated with 1-year stroke recurrence. Threshold effect analysis showed that an optimal threshold of serum homocysteine level <25 μmol/L was effective in reducing the risk of 1-year stroke recurrence in patients with AIS and H-type hypertension. Elevated homocysteine levels in patients with severe neurological deficits on admission significantly increased the risk of 1-year stroke recurrence (p for interaction = 0.041).

In patients with AIS and H-type hypertension, the serum homocysteine level was an independent risk factor for 1-year stroke recurrence. A serum homocysteine level of ≥25 μmol/L significantly increased the risk of 1-year stroke recurrence. These findings can inform the creation of a more precise homocysteine reference range for the prevention and treatment of 1-year stroke recurrence in patients with AIS and H-type hypertension and provide a theoretical foundation for the individualized prevention and treatment of stroke recurrence.

Stroke is a major cause of death and long-term disability worldwide. Diabetes is associated with an increased risk of cardiovascular complications, including stroke. People with diabetes have a 1.5-2 times higher risk of stroke compared with people without diabetes, with risk increasing with diabetes duration. These risks may also differ according to sex, with a greater risk observed among women versus men. Several mechanisms associated with diabetes lead to stroke, including large artery atherosclerosis, cerebral small vessel disease, and cardiac embolism. Hyperglycemia confers increased risk for worse outcomes in people presenting with acute ischemic stroke, compared with people with normal glycemia. Moreover, people with diabetes may have poorer post-stroke outcomes and higher risk of stroke recurrence than those without diabetes. Appropriate management of diabetes and other vascular risk factors may improve stroke outcomes and reduce the risk for recurrent stroke. Secondary stroke prevention guidelines recommend screening for diabetes following a stroke. The diabetes medications pioglitazone and glucagon-like peptide-1 receptor agonists have demonstrated protection against stroke in randomized controlled trials; this protective effect is believed to be independent of glycemic control. Neurologists are often involved in the management of modifiable risk factors for stroke (including hypertension, hyperlipidemia, and atrial fibrillation), but less often in the direct management of diabetes. This review provides an overview of the relationships between diabetes and stroke, including epidemiology, pathophysiology, post-stroke outcomes, and treatments for people with stroke and diabetes. This should aid neurologists in diabetes-related decision-making when treating people with acute or recurrent stroke.

Stress hyperglycemia frequently occurs in patients with acute ischemic stroke (AIS). The influence of stress hyperglycemia on the outcomes of patients with AIS remains ambiguous.

Data from our institution on patients with AIS between June 2020 and June 2021 were retrospectively analyzed. The severity of the stroke was assessed using the National Institutes of Health Stroke Scale (NIHSS) at admission, and the primary endpoint was functional outcomes. Stress hyperglycemia was measured by the glucose-to-HbA1c ratio. In the multivariable analysis, two models that retained or excluded the NIHSS were adopted to explore the relationship between stress hyperglycemia and outcomes. The receiver operating characteristic curve (ROC) was calculated to determine an optimized cutoff value.

The optimal cutoff value was 1.135. When all patients were included, model 1 did not find an association between the glucose-to-HbA1c ratio and functional outcomes. In model 2, the glucose-to-HbA1c ratio^×10 (Glucose-to-HbA1c ratio ×10) was the independent predictor of functional outcomes (OR 1.19, 95% CI 1.07-1.33, p < 0.01). Separately, in patients without diabetes, the glucose-to-HbA1c ratio^×10 was the independent predictor of functional outcomes in both model 1 (OR 1.37, 95% CI 1.08-1.73, p = 0.01) and model 2 (OR 1.48, 95% CI 1.22-1.79, p < 0.01), but not in patients with diabetes. In addition, the glucose-to-HbA1c ratio^×10 was the independent predictor of stroke severity (OR 1.16, 95% CI 1.05-1.28, p < 0.01).

The glucose-to-HbA1c ratio was associated with more severe AIS. Specifically, the glucose-to-HbA1c ratio was associated with the functional outcomes in patients without diabetes but not in patients with diabetes.