Cardiovascular risk factors for acute stroke: Risk profiles in the different subtypes of ischemic stroke

Mediating role of the ratio of family income to poverty in the association between depressive symptoms and stroke: Evidence from a large population-based study

BACKGROUND

Previous investigations have established a notable correlation between depressive symptoms and stroke incidence, as well as the link between stroke occurrence and the ratio of family income-to-poverty ratio (PIR). The intricate dynamics between depressive states and the incidence of stroke mediated by PIR, however, remains inadequately understood.

OBJECTIVE

The objective of this research is to scrutinize the link between depressive states and stroke, assessing how PIR functions as a mediator in this dynamic. Through an analysis of the economic status of individuals exhibiting depressive symptoms, this study explores their potential influence on the susceptibility to stroke. Such analysis aims to uncover the intricate interactions among depression, the PIR, and stroke occurrence.

METHODS

Data from 2015 to 2018 NHANES assessed adults' depressive symptoms using PHQ-9 scores. Participants reporting a stroke diagnosis by medical professionals were identified as the stroke cohort. The income levels were assessed using the PIR. To examine the relationship between depressive symptoms and stroke, weighted multivariate linear regression models, curve-fitting analyses, and subgroup assessments were employed, alongside mediation analyses to determine the role of PIR as a mediator.

RESULTS

In the analysis of 7204 participants, the data revealed a robust positive association between depressive symptoms and stroke risk within the comprehensively adjusted model. Additionally, the mediation analysis demonstrated that the PIR contributed to 10.3188 % of the explained variability in the link between depressive symptoms and stroke incidence, serving as a specific mediator of this association.

CONCLUSION

The findings of this research indicate that there is a significant positive link between depressive symptoms and the incidence of stroke, with the PIR serving as a notable mediator.

Predicting the risk of ischemic stroke in patients with atrial fibrillation using heterogeneous drug-protein-disease network-based deep learning

Current risk assessment models for predicting ischemic stroke (IS) in patients with atrial fibrillation (AF) often fail to account for the effects of medications and the complex interactions between drugs, proteins, and diseases. We developed an interpretable deep learning model, the AF-Biological-IS-Path (ABioSPath), to predict one-year IS risk in AF patients by integrating drug-protein-disease pathways with real-world clinical data. Using a heterogeneous multilayer network, ABioSPath identifies mechanisms of drug actions and the propagation of comorbid diseases. By combining mechanistic pathways with patient-specific characteristics, the model provides individualized IS risk assessments and identifies potential molecular pathways involved. We utilized the electronic health record data from 7859 AF patients, collected between January 2008 and December 2009 across 43 hospitals in Hong Kong. ABioSPath outperformed baseline models in all evaluation metrics, achieving an AUROC of 0.7815 (95% CI: 0.7346-0.8283), a positive predictive value of 0.430, a negative predictive value of 0.870, a sensitivity of 0.500, a specificity of 0.885, an average precision of 0.409, and a Brier score of 0.195. Cohort-level analysis identified key proteins, such as CRP, REN, and PTGS2, within the most common pathways. Individual-level analysis further highlighted the importance of PIK3/Akt and cytokine and chemokine signaling pathways and identified IS risks associated with less-studied drugs like prochlorperazine maleate. ABioSPath offers a robust, data-driven approach for IS risk prediction, requiring only routinely collected clinical data without the need for costly biomarkers. Beyond IS, the model has potential applications in screening risks for other diseases, enhancing patient care, and providing insights for drug development.

Automated neuroradiological support systems for multiple cerebrovascular disease markers - A systematic review and meta-analysis

Cerebrovascular diseases (CVD) can lead to stroke and dementia. Stroke is the second leading cause of death world wide and dementia incidence is increasing by the year. There are several markers of CVD that are visible on brain imaging, including: white matter hyperintensities (WMH), acute and chronic ischaemic stroke lesions (ISL), lacunes, enlarged perivascular spaces (PVS), acute and chronic haemorrhagic lesions, and cerebral microbleeds (CMB). Brain atrophy also occurs in CVD. These markers are important for patient management and intervention, since they indicate elevated risk of future stroke and dementia. We systematically reviewed automated systems designed to support radiologists reporting on these CVD imaging findings. We considered commercially available software and research publications which identify at least two CVD markers. In total, we included 29 commercial products and 13 research publications. Two distinct types of commercial support system were available: those which identify acute stroke lesions (haemorrhagic and ischaemic) from computed tomography (CT) scans, mainly for the purpose of patient triage; and those which measure WMH and atrophy regionally and longitudinally. In research, WMH and ISL were the markers most frequently analysed together, from magnetic resonance imaging (MRI) scans; lacunes and PVS were each targeted only twice and CMB only once. For stroke, commercially available systems largely support the emergency setting, whilst research systems consider also follow-up and routine scans. The systems to quantify WMH and atrophy are focused on neurodegenerative disease support, where these CVD markers are also of significance. There are currently no openly validated systems, commercially, or in research, performing a comprehensive joint analysis of all CVD markers (WMH, ISL, lacunes, PVS, haemorrhagic lesions, CMB, and atrophy).

Intracranial pressure dynamics, cerebral autoregulation, and brain perfusion after decompressive craniectomy in malignant middle cerebral artery infarction: is there a role for invasive monitoring?

OBJECTIVE

Malignant middle cerebral artery infarction (MMI) is a severe neurological condition. Decompressive craniectomy (DC) is an established lifesaving surgical treatment. However, the role of neurocritical care with monitoring and management of the intracranial pressure (ICP), pressure reactivity index (PRx), cerebral perfusion pressure (CPP), and optimal perfusion pressure (CPPopt) remain unclear. This study aims to examine the dynamics of these variables post-DC in relation to clinical outcome.

METHODS

This retrospective study included 70 MMI patients who underwent DC with ICP monitoring of at least 12 hours and available data of clinical outcome (modified Rankin Scale [mRS] at 6 months). The associations between mRS and cerebral physiology (ICP, PRx, CPP, and ∆CPPopt) was analysed and presented in different outcome heatmaps over the first 7 days following DC.

RESULTS

ICP above 15 mmHg was associated with unfavourable outcome, particularly for longer durations. As PRx exceeded zero, outcome worsened progressively, and values above 0.5 correlated to poor outcome regardless of duration. As CPP dropped below 80 mmHg, there was a transition from favourable to unfavourable outcome. Negative ∆CPPopt, particularly below -20 mmHg, corresponded to unfavourable outcome. In two-variable heatmaps, elevated PRx combined with high ICP, low CPP or negative ∆CPPopt correlated with worse outcome.

CONCLUSION

Invasive ICP-monitoring may provide prognostic information for long-term recovery in MMI patients post-DC. The study highlighted disease-specific optimal physiological intervals for ICP, PRx, CPP, and ΔCPPopt. Of particular interest, the autoregulatory variable, PRx, influenced the safe and dangerous ICP, CPP, and ∆CPPopt intervals.

A retrospective study on sex disparities and risk factors in acute ischemic stroke in the West bank of Palestine

Acute ischemic stroke (AIS) is one of the leading causes of mortality and morbidity. This study aimed to identify risk factors, subtypes, and associated outcomes of AIS in the West Bank based on sex. We retrospectively analyzed medical records from 2018 to 2022 of stroke patients from four main hospitals in the West Bank (N = 711). The Modified Rankin Scale (mRS) assessed post-stroke disability on presentation day and thirty days later based on patient history and physical examination findings. An adjusted multinomial logistic regression model was implemented to calculate the adjusted odds ratios (OR) and the 95% confidence interval (CI). The significance level was set at P < 0.05. Out of 711 records, 118 were excluded. The final analysis included 593 AIS patients, with a median age of 63 and an interquartile range of 15. The majority of the patients (60.37%) were males and most of them (62.1%) were smokers. Males were less likely to have diabetes mellitus (DM) (P = 0.037, OR = 0.691) and atrial fibrillation (P = 0.039, OR = 0.627) compared to females. Small-volume strokes accounted for the majority of cases (60.7%). AIS had a thrombotic cause in (81.9%) of patients. On presentation, (40.4%) and (37.2%) of patients had more severe symptoms with mRS scores of 4 and 3, respectively. Males were more likely than females (P = 0.018, OR = 2.03) to present with more severe symptoms (mRS 3-4-5) on day one. An increase of one year in age resulted in a 9.8% higher risk of death (mRS 6) on day one (P = 0.016, OR = 1.098). Smoking history was associated with a seven-fold increase in mortality on day one (P = 0.049, OR = 7.396). Males developed AIS at a younger age while DM and atrial fibrillation were significantly more common in females. The majority of patients reported more severe symptoms on presentation, with notable differences observed between sexes. Male patients exhibited a higher prevalence of severe symptoms compared to female patients. Additionally, key risk factors such as smoking was significantly associated with the severity of symptoms at presentation, with variations observed across sexes. Prevention of risk factors (e.g., HTN, DM, atrial fibrillation, and smoking) is crucial, and further research is required.

Multitask learning multimodal network for chronic disease prediction

Chronic diseases are a critical focus in the management of elderly health. Early disease prediction plays a vital role in achieving disease prevention and reducing the associated burden on individuals and healthcare systems. Traditionally, separate models were required to predict different diseases, a process that demanded significant time and computational resources. In this research, we utilized a nationwide dataset and proposed a multi-task learning approach combined with a multimodal disease prediction model. By leveraging patients' medical records and personal information as input, the model predicts the risks of diabetes mellitus, heart disease, stroke, and hypertension simultaneously. This approach addresses the limitations of traditional methods by capturing the correlations between these diseases while maintaining strong predictive performance, even with a reduced number of features. Furthermore, our analysis of attention scores identified risk factors that align with previous research, enhancing the model's interpretability and demonstrating its potential for real-world applications.

Women Veterans' Stroke Risk Factors: Identified Prevention Methods and Knowledge Gaps

INTRODUCTION

Stroke is a significant health burden for veterans and the fifth leading cause of death for women. Compared to civilian women, women veterans have significant multimorbid physical and mental health conditions contributing to their stroke risk. This scoping review aimed to synthesize evidence on the stroke risk factors specific to U.S. women veterans and identify any association between risk factors and a delay in prevention and treatment for women veterans.

MATERIALS AND METHODS

This study was approved by the organizational Institutional Review Board. The search strategy was run across 6 databases: MEDLINE and EMBASE via Ovid, Scopus, Web of Science, Cochrane Library, and ClinicalTrials.gov. A total of 1218 records were uploaded to Covidence for screening. Criteria for included studies were peer-reviewed primary research articles written in English about women veterans and cardiovascular disease and stroke risk factors. No restrictions were placed on publication date.

RESULTS

Fourteen articles met the inclusion criteria. Cohorts were 30 years and older. Data originated from national and individual Veterans Affairs studies. Women veterans starting at age 30 have a steadily increasing positive curvilinear association with stroke risk, indicating a need to screen earlier than the recommended age of 45 years. Stroke incidence was higher in veterans with post-traumatic stress disorder, insomnia, restless leg syndrome, traumatic brain injury, constipation with laxative use, egg consumption (2-4 eggs/wk), frailty, and systemic sclerosis. When comparing White veterans and civilian counterparts, Black veterans had a higher incidence of stroke. Ten studies addressed prevention methods. The clinicians should screen and treat women veterans for post-traumatic stress disorder and constipation and consider alternative treatment methods for constipation.

CONCLUSIONS

Empirical literature on this matter is lacking. Examining and understanding the differences in sex, gender, and veteran status, and their association with stroke risk, is warranted. Screening women veterans for post-traumatic stress disorder and for stroke early, at 30 years of age, is recommended.

Development of a Microfluidic Viscometer for Non-Newtonian Blood Analog Fluid Analysis

The incidence of stroke is on the rise globally. This affects one in every four individuals each year, underscoring the urgent need for early warning and prevention systems. The existing research highlights the significance of monitoring blood viscosity in stroke risk evaluations. However, the current methods lack the precision to measure viscosity under low shear rate conditions (<100 s⁻¹), which are observed during pulsatility flow. This study addresses this gap by introducing a novel microfluidic platform designed to measure blood viscosity with high precision under pulsatility flow conditions. The systolic blood viscosity (SBV) and diastolic blood viscosity (DBV) can be differentiated and evaluated by using this system. The non-Newtonian behavior of blood is captured across specific shear rate conditions. The platform employs a meticulously designed microarray to simulate the variations in blood viscosity during pulsation within blood vessels.The results demonstrate an impressive accuracy of 95% and excellent reproducibility when compared to traditional viscometers and rheometers and are within the human blood viscosity range of 1-10 cP. This monitoring system holds promise as a valuable addition to stroke risk evaluation methods, with the potential to enhance prediction accuracy.

Cardiovascular adverse events in patients with HER2-positive breast cancer treated with trastuzumab-drug conjugates : a Bayesian disproportional real world study for signal detection leveraging the FDA Adverse Event Reporting System (FAERS)

BACKGROUND

The cardiovascular risk profiles of trastuzumab drug conjugates (T-DCs) in the treatment of Human Epidermal Growth Factor Receptor 2 (HER2)-positive breast cancer are uncertain. This study analyzed real-world adverse events data from the Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) to investigate the association between T-DCs and major adverse cardiovascular events (MACE).

METHODS

We searched the FAERS database for reports of cardiovascular adverse events in patients with HER2-positive breast cancer receiving trastuzumab, ado-trastuzumab emtansine (T-DM1), and trastuzumab deruxtecan (T-Dxd). The primary endpoint was MACE and the secondary endpoint was other cardiovascular events.

RESULTS

Between January 2015 and April 2024, out of the 135,226 drug-adverse event pairs analyzed, 8,497 were cardiovascular events, with 4,457 classified as MACE and 4,040 as other cardiovascular events. Trastuzumab reached pharmacovigilance for MACE (ROR = 1.39, 95%CI: 1.30-1.49, IC025 = 0.25), while neither T-DM1 (ROR = 0.78, 95%CI: 0.69-0.88, IC025=-0.51) nor T-Dxd (ROR = 0.63, 95%CI: 0.52-0.76, IC025=-0.93) reached MACE-related pharmacovigilance. Among MACE, stroke linked to T-DM1 (ROR = 1.86, 95%CI: 1.42-2.43, IC025 = 0.35) and T-Dxd (ROR = 2.44, 95%CI: 1.68-3.56, IC025 = 0.57) both reached pharmacovigilance in younger patients (<65 years). Proportionate analysis showed age and weight were the two key factors contributing to the occurrence of T-DCs induced MACE.

CONCLUSION

HER2-positive breast cancer patients receiving T-DCs require additional cardiac monitoring, particularly for stroke in younger patients.

Food Addiction: Prevalence, Severity, and Impact on Vascular Stroke Risk Factors in a French Hospital-Based Sample

BACKGROUND

Stroke ranks as the second leading cause of death and the third leading cause of disability in adults worldwide. While an unhealthy diet is an independent risk factor for stroke, its association with disordered eating behaviours on stroke remains overlooked. This exploratory study aimed to evaluate the prevalence and severity of addictive-like eating behaviours in stroke patients and their association with the main vascular stroke risk factors.

METHODS

First-ever minor or moderate stroke patients with the ability to complete self-report questionnaires were included. Addictive-like eating was assessed using the Yale Food Addiction Scale 2.0 (YFAS 2.0). The variables of interest were: (i) the proportion of patients meeting the diagnosis of food addiction (FA); (ii) FA symptoms count and severity; (iii) addictive-like eating profile severity. Their association with four main vascular risk factors (obesity, hypertension, dyslipidemia and diabetes) were tested using univariate and multivariate analyses.

RESULTS

Over a 4-month period, 101 patients (mean (standard deviation (SD)), 62.8 (13.7) years; males: 60.4%) were consecutively screened with the YFAS 2.0. Overall, 5% of the sample endorsed an FA diagnosis, and 38.6% screened positive for at least one of the symptom criteria, with the most frequently endorsed symptom being "Inability to cut down". Dyslipidemia was the only vascular risk factor associated with the FA diagnosis (p = 0.043, 95% CI [-0.21; 0.01]). However, the severity of the addictive profile was associated with dyslipidemia (p = 0.016, 95% CI [-2.16; -0.21]) and diabetes (p = 0.038, 95% CI [-1.77; 0.25]), but only independently with dyslipidemia (p = 0.05; OR = 1.25; 95% CI [1.00; 1.56]). There were significant associations between the number of vascular risk factors and the severity of Time spent, Tolerance, and Use despite adverse consequences of FA symptoms, both in univariate and multivariate analyses (all p < 0.05). The number of vascular risk factors and total number of FA symptoms were significantly associated in univariate analyses (p = 0.007) but not after adjusting for age (p = 0.055) or sex (p = 0.083).

CONCLUSIONS

This study highlighted the potential importance of addictive-like behaviours in the secondary prevention of stroke. However, larger and longer-term studies investigating addictive-like eating in diverse samples of stroke patients are warranted to achieve precision medicine.

Association of elevated lipoprotein(a) levels with ischemic stroke in young patients - a systematic review and meta-analysis

INTRODUCTION

Lipoprotein(a) [Lp(a)] is an established independent causal risk factor for cardiovascular disease and atherosclerosis. However, its association with young-onset ischemic stroke is not well-established. A systematic review and meta-analysis was performed to investigate the association of elevated Lp(a) with young ischemic stroke.

METHODS

Four electronic databases: PubMed (MEDLINE), EMBASE, Scopus and Cochrane Library were systematically searched, profiling studies from inception till 6 Mar 2024. We included studies investigating the relationship between stratified Lp(a) levels and young ischemic stroke. We compared the odds of young stroke patients (age <65 years) having elevated Lp(a) compared to age-matched controls without stroke or transient ischemic attack.

RESULTS

Five case-control studies comprising a total of 1345 patients were included; 57.7 % (776/1345) were females, with a mean age of 41.5 years. Among them, 22.5 % (264/1171) were smokers. Additionally, 16.8 % (197/1171) had hypertension, 5.9 % (69/1171) had diabetes, and 29.2 % (284/971) had hyperlipidemia. Young stroke patients were more likely to have high Lp(a) level than age-matched controls (OR 1.61, 95 %CI 1.24-2.10). Four studies defined a high Lp(a) level as ≥30mg/dL, whilst one study used a Lp(a) level of >23.2mg/dL as the cut-off. A sensitivity analysis excluding this study showed that young stroke patients were still more likely to have Lp(a) ≥30mg/dL than controls (OR 1.43, 95 %CI 1.08-1.88).

CONCLUSION

Young stroke patients are more likely to have elevated Lp(a) compared to age-matched controls, suggesting an association between elevated Lp(a) and young stroke. Further research is warranted to evaluate the causal relationships between Lp(a) and young-onset ischemic stroke, as well as to conduct a cost-benefit analysis of Lp(a) screening in young adults as part of a primary prevention strategy.

Antidiabetic Treatment and Prevention of Ischemic Stroke: A Systematic Review

Background: Diabetes mellitus (DM) is a prevalent disease in the general population and also a well-established risk factor for the development of ischemic stroke. Patients who have been diagnosed with diabetes have a 20% higher risk for developing ischemic stroke in comparison to non-diabetic individuals. The aim of the current systematic review is to provide the latest evidence regarding the association between antidiabetic treatment and the prevention of ischemic stroke. Methods: A comprehensive search in scientific literature databases PUBMED, COCHRANE, and SCOPUS was conducted. The studies that were deemed as eligible for this review were those that examined the clinical benefits of therapeutic strategies in terms of preventing ischemic strokes. Results: A total of 32 studies met the established selection criteria. The included studies showed that pioglitazone treatment significantly reduced the risk for recurrent stroke in patients with DM. Furthermore, in the context of primary prevention, the improvement in glycemic control after treatment with the glucagon-like peptide-1 receptor agonists (GLP-1RA) semaglutide and dulaglutide was associated with a reduction in the risk of ischemic stroke in diabetic subjects. Metformin monotherapy may reduce stroke risk, while dipeptidyl peptidase 4 inhibitors, sodium-glucose co-transporter 2 inhibitors, and insulin do not seem to affect the incidence of stroke. Conclusions: The findings of the present systematic review suggest that pioglitazone and GLP-1RA may decrease the risk of stroke. Further studies are needed to provide additional data regarding the preventive effect of novel antidiabetic drugs, such as dual glucose-dependent insulinotropic polypeptide/GLP-1RA agents, on stroke.

Advancing Post-Stroke Depression Research: Insights from Murine Models and Behavioral Analyses

Post-stroke depression (PSD) represents a significant neuropsychiatric complication that affects between 39% and 52% of stroke survivors, leading to impaired recovery, decreased quality of life, and increased mortality. This comprehensive review synthesizes our current knowledge of PSD, encompassing its epidemiology, risk factors, underlying neurochemical mechanisms, and the existing tools for preclinical investigation, including animal models and behavioral analyses. Despite the high prevalence and severe impact of PSD, challenges persist in accurately modeling its complex symptomatology in preclinical settings, underscoring the need for robust and valid animal models to better understand and treat PSD. This review also highlights the multidimensional nature of PSD, where both biological and psychosocial factors interplay to influence its onset and course. Further, we examine the efficacy and limitations of the current animal models in mimicking the human PSD condition, along with behavioral tests used to evaluate depressive-like behaviors in rodents. This review also sets a new precedent by integrating the latest findings across multidisciplinary studies, thereby offering a unique and comprehensive perspective of existing knowledge. Finally, the development of more sophisticated models that closely replicate the clinical features of PSD is crucial in order to advance translational research and facilitate the discovery of future effective therapies.

Stroke Risk After Emergency Department Treat-and-Release Visit for a Fall

BACKGROUND

Previous cohort studies of hospitalized patients with a delayed diagnosis of ischemic stroke found that these patients often had an initial emergency department (ED) diagnosis of a fall. We sought to evaluate whether ED visits for a fall resulting in discharge to home (ie, treat-and-release visits) were associated with increased short-term ischemic stroke risk.

METHODS

A case-crossover design was used to compare ED visits for falls during case periods (0-15, 16-30, 31-90, and 91-180 days before stroke) and control periods (equivalent time periods exactly 1 year before stroke) using administrative data from the Healthcare Cost and Utilization Project on all hospital admissions and ED visits across 10 states from 2016 to 2020. To identify ED treat-and-release visits for a fall and patients hospitalized for acute ischemic stroke, we used previously validated International Classification of Diseases, Tenth Revision, Clinical Modification codes. Odds ratios and 95% CIs were calculated using conditional logistic regression.

RESULTS

Among 90 592 hospitalized patients with ischemic stroke, 5230 (5.8%) had an ED treat-and-release visit for a fall within 180 days before their stroke. Patients with an ED treat-and-release visit for a fall were older (mean age, 74.7 [SD, 14.6] versus 70.8 [SD, 15.1] years), more often female (61.9% versus 53.4%), and had higher rates of vascular comorbidities than other patients with stroke. ED treat-and-release visits for a fall were significantly more common in the 15 days before stroke compared with the 15-day control period 1 year earlier (odds ratio, 2.7 [95% CI, 2.4-3.1]). The association between stroke and a preceding ED treat-and-release visit for a fall decreased in magnitude with increasing temporal distance from stroke.

CONCLUSIONS

ED treat-and-release visits for a fall are associated with significantly increased short-term ischemic stroke risk. These visits may be opportunities to improve stroke diagnostic accuracy and treatment in the ED.

Resistin and In-Hospital Mortality in Patients with Acute Ischemic Stroke: A Prospective Study

Background/Objectives: Understanding the prognostic factors of acute ischemic stroke (AIS) is essential for improving patient outcomes. The aim of this study was to establish the predictive role of plasmatic resistin and leptin on short-term mortality in adult patients with a first episode of AIS. Methods: This study enrolled 277 patients who were consecutively hospitalized for AIS. Demographic data, cardiovascular risk, comorbidities, and laboratory tests were collected. Death was noted if it occurred during hospitalization. Results: Death was recorded in 33 (11.9%) patients. Conducting multivariate analysis, the following variables were independent variables associated with in-hospital mortality: a resistin value of >11 ng/mL (OR 10.81 (95%CI 2.31;50.57), p = 0.002), a lesion volume of >18.8 mL (OR 4.87 (95%CI 1.87;12.67), p = 0.001), a NIHSS score of >7 (OR 5.88 (95%CI 2.01;17.16), p = 0.001), and the presence of IHD (OR 4.33 (95%CI 1.66;11.27), p = 0.003). This study has some limitations: single-center design (which may affect the generalizability of the results) and the potential impact of the COVID-19 pandemic on patient outcomes. Conclusions: This study demonstrated that resistin is a significant predictor of in-hospital mortality in AIS patients. Other established factors, such as a high NIHSS score, large lesion volume, and the presence of IHD, were reaffirmed as important predictors.

Transfer behaviors in stroke and dementia development associated with environmental risks

AIM

Chronic diseases are influential components of stroke, one of the dominant reasons for dementia and premature mortality. Environmental risks are risk factors for transitioning from stroke to dementia. This study addresses the transition behaviors in stroke and dementia development associated with chronic diseases and environmental risks.

METHODS

This study is an integrated survey of medical and environmental informatics concerning stroke patients' quality of life. A total of 10 627 stroke patients diagnosed in Taiwan were surveyed in this study. A covariate model and subgroup analysis were used to evaluate the influence of chronic diseases and environmental risk factors (i.e., divorce rate, unemployment rate, solitariness rate, temperature, and air pollution rate) on stroke and the corresponding dementia transition behaviors.

RESULTS

This study constructed a total of 98 covariate analysis models, consisting of 14 transition types [10 transitions from chronic diseases to stroke (5 metabolic risk states × 2 stroke states) and 4 transitions from stroke to dementia (2 stroke states × 2 dementia states)] by 7 covariates (i.e., sex, age, divorce rate, unemployment rate, temperature, air pollution, and solitariness rate). Among the 98 transitions, 26 were statistically significant.

CONCLUSIONS

Sex, age, divorce rate, unemployment rate, temperature, and air pollution rate exerted a partially significant influence on the transition from chronic diseases to stroke. Sex, age, unemployment rate, and temperature partially influenced the transition from stroke to dementia. This study also considered high-risk sub-populations of stroke patients, particularly males aged 65 years and below. Geriatr Gerontol Int 2024; 24: 766-772.

Inter-relationships of depression and insomnia symptoms with life satisfaction in stroke and stroke-free older adults: Findings from the Health and Retirement Study based on network analysis and propensity score matching

BACKGROUND

Depression and insomnia are common co-occurring psychiatric problems among older adults who have had strokes. Nevertheless, symptom-level relationships between these disorders remain unclear.

OBJECTIVES

In this study, we compared inter-relationships of depression and insomnia symptoms with life satisfaction among older stroke patients and stroke-free peers in the United States.

METHODS

The study included 1026 older adults with a history of stroke and 3074 matched controls. Data were derived from the US Health and Retirement Study. Depression, insomnia and life satisfaction were assessed. Propensity score matching was employed to identify demographically-similar groups of stroke patients and controls. Central and bridge symptoms were assessed using Expected influence (EI) and bridge EI, respectively.

RESULTS

The prevalence of depression in the stroke group (25.0 %) was higher than that of controls (14.3 %, P < 0.001). In stroke group, "Feeling depressed" (CESD1; EI: 5.80), "Feeling sad" (CESD7; EI: 4.67) and "Not enjoying life" (CESD6; EI: 4.51) were the most central symptoms, while "Feeling tired in the morning" (JSS4; BEI: 1.60), "Everything was an effort" (CESD2; BEI: 1.21) and "Waking up during the night" (JSS2; BEI: 0.98) were key bridge symptoms. In controls, the most central symptoms were "Lack of happiness" (CESD4; EI: 6.45), "Feeling depressed" (CESD1; EI: 6.17), and "Feeling sad" (CESD7; EI: 6.12). Furthermore, "Feeling tired in the morning" (JSS4; BEI: 1.93), "Everything was an effort" (CESD2; BEI: 1.30), and "Waking up too early" (JSS3; BEI: 1.12) were key bridge symptoms. Life satisfaction had the most direct associations with "Not enjoying life" (CESD6) and "Feeling lonely" (CESD5) in the two groups, respectively.

CONCLUSION

Older adults with stroke exhibited more severe depression and insomnia symptoms. Interventions targeting central and bridge symptoms may help to mitigate the co-occurrence of these symptoms.

Combined polygenic scores for ischemic stroke risk factors aid risk assessment of ischemic stroke

BACKGROUND

Current risk assessment for ischemic stroke (IS) is limited to clinical variables. We hypothesize that polygenic scores (PGS) of IS (PGSIS) and IS-associated diseases such as atrial fibrillation (AF), venous thromboembolism (VTE), coronary artery disease (CAD), hypertension (HTN), and Type 2 diabetes (T2D) may improve the performance of IS risk assessment.

METHODS

Incident IS was followed for 479,476 participants in the UK Biobank who did not have an IS diagnosis prior to the recruitment. Lifestyle variables (obesity, smoking and alcohol) at the time of study recruitment, clinical diagnoses of IS-associated diseases, PGSIS, and five PGSs for IS-associated diseases were tested using the Cox proportional-hazards model. Predictive performance was assessed using the C-statistic and net reclassification index (NRI).

RESULTS

During a median average 12.5-year follow-up, 8374 subjects were diagnosed with IS. Known clinical variables (age, gender, clinical diagnoses of IS-associated diseases, obesity, and smoking) and PGSIS were all independently associated with IS (P < 0.001). In addition, PGSIS and each PGS for IS-associated diseases was also independently associated with IS (P < 0.001). Compared to the clinical model, a joint clinical/PGS model improved the C-statistic for predicting IS from 0.71 to 0.73 (P < 0.001) and significantly reclassified IS risk (NRI = 0.017, P < 0.001), and 6.48% of subjects were upgraded from low to high risk.

CONCLUSIONS

Adding PGSs of IS and IS-associated diseases to known clinical risk factors statistically improved risk assessment for IS, demonstrating the supplementary value of inherited susceptibility measurement . However, its clinical utility is likely limited due to modest improvements in predictive values.

Effectiveness and tolerability of brivaracetam in patients with epilepsy stratified by comorbidities and etiology in the real world: 12-month subgroup data from the international EXPERIENCE pooled analysis

OBJECTIVE

To assess the effectiveness and tolerability of brivaracetam (BRV) in adults with epilepsy by specific comorbidities and epilepsy etiologies.

METHODS

EXPERIENCE/EPD332 was a pooled analysis of individual patient records from several non-interventional studies of patients with epilepsy initiating BRV in clinical practice. Outcomes included ≥ 50% reduction from baseline in seizure frequency, seizure freedom (no seizures within prior 3 months), continuous seizure freedom (no seizures since baseline), BRV discontinuation, and treatment-emergent adverse events (TEAEs) at 3, 6, and 12 months. Analyses were performed for all adult patients (≥ 16 years of age) and stratified by comorbidity and by etiology at baseline (patients with cognitive/learning disability [CLD], psychiatric comorbidity, post-stroke epilepsy, brain tumor-related epilepsy [BTRE], and traumatic brain injury-related epilepsy [TBIE]).

RESULTS

At 12 months, ≥ 50% seizure reduction was achieved in 35.6% (n = 264), 38.7% (n = 310), 41.7% (n = 24), 34.1% (n = 41), and 50.0% (n = 28) of patients with CLD, psychiatric comorbidity, post-stroke epilepsy, BTRE, and TBIE, respectively; and continuous seizure freedom was achieved in 5.7% (n = 318), 13.7% (n = 424), 29.4% (n = 34), 11.4% (n = 44), and 13.8% (n = 29), respectively. During the study follow-up, in patients with CLD, psychiatric comorbidity, post-stroke epilepsy, BTRE, and TBIE, 37.1% (n = 403), 30.7% (n = 605), 33.3% (n = 51), 39.7% (n = 68), and 27.1% (n = 49) of patients discontinued BRV, respectively; and TEAEs since prior visit at 12 months were reported in 11.3% (n = 283), 10.0% (n = 410), 16.7% (n = 36), 12.5% (n = 48), and 3.0% (n = 33), respectively.

CONCLUSIONS

BRV as prescribed in the real world is effective and well tolerated among patients with CLD, psychiatric comorbidity, post-stroke epilepsy, BTRE, and TBIE.

Spontaneous spinal cord infarction: a systematic review

Background and objectives

Spontaneous spinal cord infarction (SCInf) is a rare condition resulting in acute neurological impairment. Consensus on diagnostic criteria is lacking, which may present a challenge for the physician. This review aims to analyse the current literature on spontaneous SCInf, focusing on epidemiology, the diagnostic process, treatment strategies and neurological outcomes.

Methods

The study was performed in accordance with a previously published protocol. PubMed, Web of Science and Embase were searched using the keywords 'spontaneous', 'spinal cord', 'infarction' and 'ischaemic'. The eligibility of studies was evaluated in two steps by multiple reviewers. Data from eligible studies were extracted and systematically analysed.

Results

440 patients from 33 studies were included in this systematic review. Analysis of vascular risk factors showed that hypertension was present in 40%, followed by smoking in 30%, dyslipidaemia in 29% and diabetes in 16%. The severity of symptoms at admission according to the American Spinal Injury Association (ASIA) Impairment Scale was score A 19%, score B14%, score C36% and score D32%. The mean follow-up period was 34.8 (±12.2) months. ASIA score at follow-up showed score A 11%, score B 3%, score C 16%, score D 67% and score E 2%. The overall mortality during the follow-up period was 5%. When used, MRI with diffusion-weighted imaging (DWI) supported the diagnosis in 81% of cases. At follow-up, 71% of the patients were able to walk with or without walking aids.

Conclusion

The findings suggest a significant role for vascular risk factors in the pathophysiology of spontaneous SCInf. In the diagnostic workup, the use of DWI along with an MRI may help in confirming the diagnosis. The findings at follow-up suggest that neurological recovery is to be expected, with the majority of patients regaining ambulation. This systematic review highlights gaps in the literature and underscores the necessity for further research to establish diagnostic criteria and treatment guidelines.

The potential therapeutic effect of phosphodiesterase 5 inhibitors in the acute ischemic stroke (AIS)

Acute ischemic stroke (AIS) is a focal neurological disorder that accounts for 85% of all stroke types, due to occlusion of cerebral arteries by thrombosis and emboli. AIS is also developed due to cerebral hemodynamic abnormality. AIS is associated with the development of neuroinflammation which increases the severity of AIS. Phosphodiesterase enzyme (PDEs) inhibitors have neuro-restorative and neuroprotective effects against the development of AIS through modulation of the cerebral cyclic adenosine monophosphate (cAMP)/cyclic guanosine monophosphate (cGMP)/nitric oxide (NO) pathway. PDE5 inhibitors through mitigation of neuroinflammation may decrease the risk of long-term AIS-induced complications. PDE5 inhibitors may affect the hemodynamic properties and coagulation pathway which are associated with thrombotic complications in AIS. PDE5 inhibitors reduce activation of the pro-coagulant pathway and improve the microcirculatory level in patients with hemodynamic disturbances in AIS. PDE5 inhibitors mainly tadalafil and sildenafil improve clinical outcomes in AIS patients through the regulation of cerebral perfusion and cerebral blood flow (CBF). PDE5 inhibitors reduced thrombomodulin, P-selectin, and tissue plasminogen activator. Herein, PDE5 inhibitors may reduce activation of the pro-coagulant pathway and improve the microcirculatory level in patients with hemodynamic disturbances in AIS. In conclusion, PDE5 inhibitors may have potential roles in the management of AIS through modulation of CBF, cAMP/cGMP/NO pathway, neuroinflammation, and inflammatory signaling pathways. Preclinical and clinical studies are recommended in this regard.

Advances in the molecular mechanisms of statins in regulating endothelial nitric oxide bioavailability: Interlocking biology between eNOS activity and L-arginine metabolism

Statins, inhibitors of 3-hydroxy-3-methylglutaryl-coenzyme A, are widely used to treat hypercholesterolemia. In addition, statins have been suggested to reduce the risk of cardiovascular events owing to their pleiotropic effects on the vascular system, including vasodilation, anti-inflammation, anti-coagulation, anti-oxidation, and inhibition of vascular smooth muscle cell proliferation. The major beneficial effect of statins in maintaining vascular homeostasis is the induction of nitric oxide (NO) bioavailability by activating endothelial NO synthase (eNOS) in endothelial cells. The mechanisms underlying the increased NO bioavailability and eNOS activation by statins have been well-established in various fields, including transcriptional and post-transcriptional regulation, kinase-dependent phosphorylation and protein-protein interactions. However, the mechanism by which statins affect the metabolism of L-arginine, a precursor of NO biosynthesis, has rarely been discussed. Autophagy, which is crucial for energy homeostasis, regulates endothelial functions, including NO production and angiogenesis, and is a potential therapeutic target for cardiovascular diseases. In this review, in addition to summarizing the molecular mechanisms underlying increased NO bioavailability and eNOS activation by statins, we also discuss the effects of statins on the metabolism of L-arginine.

Organogermanium, Ge-132, promotes the clearance of senescent red blood cells via macrophage-mediated phagocyte activation

Red blood cells (RBCs) are renewed in a cyclic manner. Aging RBCs are captured and degraded by phagocytic cells, and heme metabolic pigments are subsequently excreted in feces. We evaluated the effect of an organogermanium compound on RBC metabolism and found that the phagocytosis of RAW264.7 macrophage-like cells was increased by treatment with 3-(trihydroxygermyl)propanoic acid (THGP). Additionally, consumption of Ge-132 (a dehydrate polymer of THGP) changed the fecal color to bright yellow and increased the erythrocyte metabolic pigment levels and antioxidant activity in feces. These data suggest that Ge-132 may activate macrophages in the body and promote the degradation of aged RBCs. Furthermore, Ge-132 intake promoted not only increases in RBC degradation but also the induction of erythroblast differentiation in bone marrow cells. The normal hematocrit levels were maintained due to the maintenance of homeostasis, even though Ge-132 ingestion increased erythrocyte degradation. Therefore, Ge-132 enhances the degradation of senescent RBCs by macrophages. In turn, RBC production is increased to compensate for the amount of degradation, and RBC metabolism is increased.

Do risk factors differentiate DSM-5 and drive for thinness severity groups for anorexia nervosa?

BACKGROUND

The current study examined whether risk factors for anorexia nervosa (AN) were related to different levels of severity based on (a) the DSM-5/body mass index (BMI) and (b) drive for thinness (DT) severity ratings.

METHODS

The sample comprised 153 pairs of individuals with a lifetime diagnosis AN per DSM-IV criteria and their non-ED sisters (N = 306, mean age = 26.53; mean current BMI = 20.42 kg/m2). The Oxford risk factor interview was used to establish AN-related risk factors. Individuals were categorised into the DSM-5 severity groups based on their lowest BMI, while the DT subscale from the eating disorder inventory-2 was used to classify individuals with AN into low and high DT groups.

RESULTS

Multinominal regression models showed similar risk factors (e.g., perfectionism, having a history of being teased about weight and shape) contributed to the development of AN using the DSM-5 and DT severity ratings. Follow-up analyses across the severity groups for both indices revealed that only childhood perfectionism was found to be more common in the extreme severe DSM-5 BMI severity group compared to the severe DSM-5 group.

CONCLUSION

Overall, this study found little evidence for AN risk factors being related to the DSM-5 and DT severity ratings. However, given the novelty of this study, replication of the current results is warranted.

Novel insight into the etiology of ischemic stroke gained by integrative multiome-wide association study

Stroke, characterized by sudden neurological deficits, is the second leading cause of death worldwide. Although genome-wide association studies (GWAS) have successfully identified many genomic regions associated with ischemic stroke (IS), the genes underlying risk and their regulatory mechanisms remain elusive. Here, we integrate a large-scale GWAS (N = 1 296 908) for IS together with molecular QTLs data, including mRNA, splicing, enhancer RNA (eRNA), and protein expression data from up to 50 tissues (total N = 11 588). We identify 136 genes/eRNA/proteins associated with IS risk across 60 independent genomic regions and find IS risk is most enriched for eQTLs in arterial and brain-related tissues. Focusing on IS-relevant tissues, we prioritize 9 genes/proteins using probabilistic fine-mapping TWAS analyses. In addition, we discover that blood cell traits, particularly reticulocyte cells, have shared genetic contributions with IS using TWAS-based pheWAS and genetic correlation analysis. Lastly, we integrate our findings with a large-scale pharmacological database and identify a secondary bile acid, deoxycholic acid, as a potential therapeutic component. Our work highlights IS risk genes/splicing-sites/enhancer activity/proteins with their phenotypic consequences using relevant tissues as well as identify potential therapeutic candidates for IS.

Risk Factors Associated With Exclusion of Obese Patients Ischemic Stroke With a History of Smoking From Thrombolysis Therapy

The objective of this study is to determine risk factors that may contribute to exclusion decision from recombinant tissue plasminogen activator (rtPA) in patients with acute ischemic stroke (AIS) with a combined current or history of smoking and obesity. This study was conducted on data from 5469 patients with AIS collected from a regional stroke registry. Risk factors associated with inclusion or exclusion from rtPA were determined using multivariate logistic regression analysis. The adjusted odds ratios and 95% confidence interval for each risk factor were used to predict the increasing odds of an association of a specific risk factor with exclusion from rtPA. In the adjusted analysis, obese patients with AIS with a history of smoking (current and previous) excluded from rtPA were more likely to present with carotid artery stenosis (OR = 0.069, 95% CI 0.011-0.442), diabetes (OR = 0.604, 95% CI 0.366-0.997), higher total cholesterol (OR = 0.975, 95% CI 0.956-0.995), and history of alcohol use (OR = 0.438, 95% CI 0.232-0.828). Higher NIHSS score (OR = 1.051, 95% CI 1.017-1.086), higher triglycerides (OR = 1.004, 95% CI 1.001-1.006), and higher high-density lipoprotein (OR = 1.028, 95% CI 1.000-1.057) were associated with the inclusion for rtPA. Our findings reveal specific risk factors that contribute to the exclusion of patients with AIS with a combined effect of smoking and obesity from rtPA. These findings suggest the need to develop management strategies to improve the use of rtPA for obese patients with AIS with a history of smoking.

Systemic lupus erythematosus phenotypes formed from machine learning with a specific focus on cognitive impairment

OBJECTIVE

To phenotype SLE based on symptom burden (disease damage, system involvement and patient reported outcomes), with a specific focus on objective and subjective cognitive function.

METHODS

SLE patients ages 18-65 years underwent objective cognitive assessment using the ACR Neuropsychological Battery (ACR-NB) and data were collected on demographic and clinical variables, disease burden/activity, health-related quality of life (HRQoL), depression, anxiety, fatigue and perceived cognitive deficits. Similarity network fusion (SNF) was used to identify patient subtypes. Differences between the subtypes were evaluated using Kruskal-Wallis and χ2 tests.

RESULTS

Of the 238 patients, 90% were female, with a mean age of 41 years (s.d. 12) and a disease duration of 14 years (s.d. 10) at the study visit. The SNF analysis defined two subtypes (A and B) with distinct patterns in objective and subjective cognitive function, disease burden/damage, HRQoL, anxiety and depression. Subtype A performed worst on all significantly different tests of objective cognitive function (P < 0.03) compared with subtype B. Subtype A also had greater levels of subjective cognitive function (P < 0.001), disease burden/damage (P < 0.04), HRQoL (P < 0.001) and psychiatric measures (P < 0.001) compared with subtype B.

CONCLUSION

This study demonstrates the complexity of cognitive impairment (CI) in SLE and that individual, multifactorial phenotypes exist. Those with greater disease burden, from SLE-specific factors or other factors associated with chronic conditions, report poorer cognitive functioning and perform worse on objective cognitive measures. By exploring different ways of phenotyping SLE we may better define CI in SLE. Ultimately this will aid our understanding of personalized CI trajectories and identification of appropriate treatments.

Associations between socioeconomic status and stroke in American adults: A population-based study

Stroke is an acute cerebrovascular disease that can lead to disability and death. This study aimed to investigate the relationship between socioeconomic status (SES) and stroke. SES was evaluated by two variables: poverty to income ratio (PIR) and education level. In this multi-subject study, we collected data from the National Health and Nutrition Examination Survey (NHANES) database between 2009 and 2018, and finally 22,792 adults (≥20 years old) were included in the study. We proceeded with weighted multivariate logistic regression analysis as well as subgroup analysis. When analyzing the effect of PIR on stroke alone, the results showed that an increase in PIR levels was associated with a decrease in stroke incidence (OR = 0.764 95% CI: (0.711, 0.820), p < 0.001). The multivariate analysis presented a decline in stroke incidence in the highest quartile PIR group compared to the lowest quartile PIR group (OR = 0.296 95% CI: (0.214, 0.409), P＜0.001). Our results indicated that PIR is a protective factor for stroke, but there are exceptions in this relationship among different people. Hence, it is imperative that policymakers, healthcare providers, and clinicians take into account the inequality distribution of SES among adults while developing and executing stroke prevention and treatment strategies.

Proteomic mapping reveals dysregulated angiogenesis in the cerebral arteries of rats with early-onset hypertension

Hypertension is associated with the presence of vascular abnormalities, including remodeling and rarefaction. These processes play an important role in cerebrovascular disease development; however, the mechanistic changes leading to these diseases are not well characterized. Using data-independent acquisition-based mass spectrometry analysis, here we determined the protein changes in cerebral arteries in pre- and early-onset hypertension from the spontaneously hypertensive rat (SHR), a model that resembles essential hypertension in humans. Our analysis identified 125 proteins with expression levels that were significantly upregulated or downregulated in 12-week-old spontaneously hypertensive rats compared to normotensive Wistar Kyoto rats. Using an angiogenesis enrichment analysis, we further identified a critical imbalance in angiogenic proteins that promoted an anti-angiogenic profile in cerebral arteries at early onset of hypertension. In a comparison to previously published data, we demonstrate that this angiogenic imbalance is not present in mesenteric and renal arteries from age-matched SHRs. Finally, we identified two proteins (Fbln5 and Cdh13), whose expression levels were critically altered in cerebral arteries compared to the other arterial beds. The observation of an angiogenic imbalance in cerebral arteries from the SHR reveals critical protein changes in the cerebrovasculature at the early onset of hypertension and provides novel insights into the early pathology of cerebrovascular disease.

The association of stroke risk factors with the future thickness of carotid atherosclerotic plaques

OBJECTIVES

An advancing atherosclerotic plaque is a risk factor for stroke. We conducted this study to assess the relationship between risk factors of stroke with changing in the thickness of carotid plaques thickness evident on sonography.

METHODS

We carried out a secondary analysis of data from a study on carotid bifurcation plaques. Data were collected in the sonography laboratories of two university hospitals. In total, 564 (240; 42.6% men) patients with atherosclerotic plaques in the carotid bifurcation and internal carotid artery with stenosis ≥ 30% evident on duplex sonography were included. We developed machine learning models using an extreme gradient boosting algorithm with Shapley additive explanation method to find important risk factors and their interactions. The outcome was a change in the carotid plaque thickness after 36 months, and the predictors were initial plaque thickness and the risk factors of stroke.

RESULTS

Two regression models were developed for left and right carotid arteries. The R-squared values were 0.964 for the left, and 0.993 for the right model. Overall, the three top features were BMI, age, and initial plaque thickness for both left and right plaques. However, the risk factors of stroke showed stronger interaction in predicting plaque thickening of the left carotid more than the right carotid artery.

DISCUSSION

The effect of each predictor on plaque thickness is complicated by interactions with other risk factors, particularly for the left carotid artery. The side of carotid artery involvement should be considered for stroke prevention.

MK, Essakky S, Singh M, Ghosh S, Mehndiratta A, Kar SS. Cost-effectiveness of implementing risk-based cardiovascular disease (CVD) management using updated WHO CVD risk prediction charts in India

INTRODUCTION

The World Health Organization (WHO) has released the updated cardiovascular disease (CVD) risk prediction charts in 2019 for each of the 21 Global Burden of Disease regions. The WHO advocates countries to implement population-based CVD risk assessment and management using these updated charts for preventing and controlling CVDs.

OBJECTIVE

To assess the cost-effectiveness of implementing risk-based CVD management using updated WHO CVD risk prediction charts in India.

METHODS

We developed a decision tree combined with Markov Model to simulate implementing two community-based CVD risk screening strategies (interventions) compared with the current no-screening scenario. In the first strategy, the whole population is initially screened using the WHO non-lab-based CVD risk assessment method, and those with ≥10% CVD risk are subjected to WHO lab-based CVD risk assessment (two-stage screening). In the second strategy, the whole population is subjected only to the lab-based CVD risk assessment (single-stage screening). A mathematical cohort of those aged ≥40 years with no history of CVD events was simulated over a lifetime horizon with three months of cycle length. Data for the model were derived from a primary study and secondary sources. Incremental cost-effectiveness ratios (ICERs) were determined for the screening strategies and sensitivity analyses.

RESULTS

The discounted Incremental cost-effectiveness ratio per QALY gained for both the two-stage (US$ 105; ₹ 8,656) and single-stage (US$ 1073; ₹ 88,588) screening strategies were cost-effective at an implementation effect of 40% when compared with no screening scenario. Implementing CVD screening strategies are estimated to cause substantial reduction in the number of CVD events in the population compared to the no screening scenario.

CONCLUSION

In India, both CVD screening strategies would be cost-effective, and implementing the two-staged screening would be more cost-effective. Our findings support implementing population-based CVD screening in India. Future studies shall assess the budget impact of these strategies at different implementation coverage levels.

Development, validation, and visualization of a novel nomogram to predict stroke risk in patients

Background

Stroke is the second leading cause of death worldwide and a major cause of long-term neurological disability, imposing an enormous financial burden on families and society. This study aimed to identify the predictors in stroke patients and construct a nomogram prediction model based on these predictors.

Methods

This retrospective study included 11,435 participants aged >20 years who were selected from the NHANES 2011-2018. Randomly selected subjects (n = 8531; 75%) and the remaining subjects comprised the development and validation groups, respectively. The least absolute shrinkage and selection operator (LASSO) binomial and logistic regression models were used to select the optimal predictive variables. The stroke probability was calculated using a predictor-based nomogram. Nomogram performance was assessed by the area under the receiver operating characteristic curve (AUC) and the calibration curve with 1000 bootstrap resample validations. Decision curve analysis (DCA) was performed to evaluate the clinical utility of the nomogram.

Results

According to the minimum criteria of non-zero coefficients of Lasso and logistic regression screening, older age, lower education level, lower family income, hypertension, depression status, diabetes, heavy smoking, heavy drinking, trouble sleeping, congestive heart failure (CHF), coronary heart disease (CHD), angina pectoris and myocardial infarction were independently associated with a higher stroke risk. A nomogram model for stroke patient risk was established based on these predictors. The AUC (C statistic) of the nomogram was 0.843 (95% CI: 0.8186-0.8430) in the development group and 0.826 (95% CI: 0.7811, 0.8716) in the validation group. The calibration curves after 1000 bootstraps displayed a good fit between the actual and predicted probabilities in both the development and validation groups. DCA showed that the model in the development and validation groups had a net benefit when the risk thresholds were 0-0.2 and 0-0.25, respectively.

Discussion

This study effectively established a nomogram including demographic characteristics, vascular risk factors, emotional factors and lifestyle behaviors to predict stroke risk. This nomogram is helpful for screening high-risk stroke individuals and could assist physicians in making better treatment decisions to reduce stroke occurrence.

Incidence of stroke and its predictors among hypertensive patients in Felege Hiwot comprehensive specialized hospital, Bahir Dar, Ethiopia, a retrospective follow-up study

BACKGROUND

Globally, one in three adults has hypertension, a condition that causes 51% of all deaths from stroke. Stroke is becoming a major public health problem and the most common cause of morbidity and mortality among non-communicable diseases in the world and Ethiopia. Therefore, this study assesses the incidence of stroke and its predictors among hypertensive patients in Felege Hiwot Comprehensive Specialized Hospital, Bahir Dar, Ethiopia 2021.

METHODS

A hospital-based retrospective follow-up study design was used, simple random sampling technique was used to select 583 hypertensive patients that had follow-up registration between January 2018 and December 30th, 2020. Data were entered into Epi-data version 3.1 and exported to STATA version 14. The adjusted hazard ratio for each predictor with a 95% confidence interval was calculated using the Cox proportional hazards regression model, and a P-value ≤  0.05 was used to denote statistical significance.

RESULTS

From 583 hypertensive patients 106(18.18%) [95% CI 15-20] were developed stroke. The overall incidence rate was 1 per 100 person-years (95% CI 0.79-1.19). Comorbidities (Adjusted hazard ratio(AHR): 1.88, 95% CI 1.0-3.5), stage two hypertension (AHR = 5.21, 95%CI 2.75-9.8), uncontrolled systolic blood pressure (AHR: 2, 95% CI 1.21-354), uncontrolled diastolic blood pressure (AHR:1.9, 95% CI 1.1-3.57), alcohol consumption (AHR = 2.04, 95%CI 1.2-3.49), age 45-65 (AHR = 10.25, 95%CI 7.47-11.1); and drug discontinuation (AHR = 2.05,95% CI 1.26-3.35) were independent predictors for the incidence of stroke among hypertensive patients.

CONCLUSION

The incidence of stroke among hypertensive patients was high and various modifiable and non-modifiable risk factors highly contributed to its incidence. This study recommends early screening of blood pressure, giving priority to comorbid patients and patients with advanced stage hypertension, and giving health education about behavioral risks and drug adherence.

The Association of Carotid Plaque Size, Carotid Intima-Media Thickness, Resistive Index, and Pulsatility Index With Acute Ischemic Stroke

BACKGROUND

Carotid atherosclerosis is an important etiological factor for ischemic stroke. Early carotid lesion detection may prevent further strokes. Doppler ultrasound measures carotid artery blood flow, intima-media thickness, stenosis, plaques, and lumen and wall changes.

OBJECTIVE

The objective of this study is to determine the association of carotid plaque size (CPS), carotid intima-media thickness (CIMT), resistive index (RI), and pulsatility index (PI) with acute ischemic stroke.

METHODOLOGY

A total of 60 participants were taken, including 30 cases and 30 age- and sex-matched controls. Patients with acute ischemic stroke were included as cases and age- and sex-matched healthy volunteers were included as controls. A carotid duplex study was done in both groups, and the findings were compared.

RESULTS

The mean age of the ischemic stroke cases was 63.33±10.79 years; more than half were aged >60 years. Male patients were 73.3% and female patients were 26.7% of the cases. Age and gender were statistically similar (p>0.05) in groups (cases and controls). The plaques were homogenous in 30% of patients, calcified in 26.7%, and mixed in 6.7%. About 36.6% of patients did not have any plaque. CPS was greater among cases than controls in the right and left internal and left common carotid arteries; however, it was not statistically significant (p>0.05). The mean CIMT was 0.79±0.10 mm on the right side and 0.90±0.17 mm on the left side among cases. CIMT was significantly higher in the cases group than in the controls (p<0.05). The mean RI was significantly greater in the left common carotid artery (CCA) among the cases than in the controls (p<0.05). Patients aged over 60 years had significantly higher RI and PI values in the left internal carotid artery (ICA) compared to the younger cases (p<0.05). Smoking history had a significant association with left CCA RI and PI values (p<0.05). However, RI, PI, CPS, and CIMT among cases were similar in different groups like diabetic, non-diabetic, hypertensive, and non-hypertensive patients (p>0.05).

CONCLUSION

CIMT was significantly thicker among the patients with ischemic stroke compared to the control group. RI in the left CCA was significantly greater among the stroke patients than in the control group. The age of the patient and smoking habit had an association with RI and PI values. Most of the parameters were found to be significant on the left side, suggesting carotid atherosclerosis may not be symmetrical. A large-scale further study is needed to see the association of these variables with ischemic stroke patients.

Analysis of the prevalence and related factors of primary hypertension among adolescents and children in the Taicang area

OBJECTIVE

To investigate the prevalence of hypertension in adolescents and children in the Taicang area and analyse related factors to provide a theoretical basis for the prevention and control of hypertension in this region.

METHODS

A total of 1,000 students who were visited and surveyed in primary schools in the Taicang area in 2021 were selected for statistical testing using a cluster random sampling method, and a survey was conducted on their dietary habits. dietary habits, such as the consumption of meals that included protein-rich animal products, beans and dairy products, vegetables and fruits, salty foods and fried food, was taken into consideration, along with physical fitness indices, waist-to-height ratio and waist circumference.

RESULTS

Of the 1,000 adolescents and children surveyed, 222 were classified into the hypertensive group and 778 into the normotensive group. There were 138 boys (a prevalence rate of 6.3%) and 84 girls (a prevalence rate of 4.1%) in the hypertensive group. The physical fitness indices of the hypertensive group were significantly higher than those of the normotensive group. Concerning dietary structure, the frequency of cereal intake between the two groups was comparable, while the hypertensive group's intake of vegetables, fruits, beans and dairy products was significantly lower than that of the normotensive group. Finally, a logistic multivariate regression analysis of related factors was carried out, and it was concluded that waist-to-height ratio, waist circumference and salty and fried food intake were positively correlated with the prevalence of hypertension.

CONCLUSION

The prevalence of hypertension among adolescents and children in the Taicang area is high. Body weight and dietary structure can be used as reference indicators for the prevalence of hypertension in this age group.

Left Ventricular Ejection Fraction Association with Acute Ischemic Stroke Outcomes in Patients Undergoing Thrombolysis

(1) Background: Little is known about how left ventricular systolic dysfunction (LVSD) affects functional and clinical outcomes in acute ischemic stroke (AIS) patients undergoing thrombolysis; (2) Methods: A retrospective observational study conducted between 2006 and 2018 included 937 consecutive AIS patients undergoing thrombolysis. LVSD was defined as left ventricular ejection fraction (LVEF) < 50%. Univariate and multivariate binary logistic regression analysis was performed for demographic characteristics. Ordinal shift regression was used for functional modified Rankin Scale (mRS) outcome at 3 months. Survival analysis of mortality, heart failure (HF) admission, myocardial infarction (MI) and stroke/transient ischemic attack (TIA) was evaluated with a Cox-proportional hazards model; (3) Results: LVSD patients in comparison with LVEF ≥ 50% patients accounted for 190 and 747 patients, respectively. LVSD patients had more comorbidities including diabetes mellitus (100 (52.6%) vs. 280 (37.5%), p < 0.001), atrial fibrillation (69 (36.3%) vs. 212 (28.4%), p = 0.033), ischemic heart disease (130 (68.4%) vs. 145 (19.4%), p < 0.001) and HF (150 (78.9%) vs. 46 (6.2%), p < 0.001). LVSD was associated with worse functional mRS outcomes at 3 months (adjusted OR 1.41, 95% CI 1.03-1.92, p = 0.030). Survival analysis identified LVSD to significantly predict all-cause mortality (adjusted HR [aHR] 3.38, 95% CI 1.74-6.54, p < 0.001), subsequent HF admission (aHR 4.23, 95% CI 2.17-8.26, p < 0.001) and MI (aHR 2.49, 95% CI 1.44-4.32, p = 0.001). LVSD did not predict recurrent stroke/TIA (aHR 1.15, 95% CI 0.77-1.72, p = 0.496); (4) Conclusions: LVSD in AIS patients undergoing thrombolysis was associated with increased all-cause mortality, subsequent HF admission, subsequent MI and poorer functional outcomes, highlighting a need to optimize LVEF.

Combining Mendelian randomization and network deconvolution for inference of causal networks with GWAS summary data

Mendelian randomization (MR) has been increasingly applied for causal inference with observational data by using genetic variants as instrumental variables (IVs). However, the current practice of MR has been largely restricted to investigating the total causal effect between two traits, while it would be useful to infer the direct causal effect between any two of many traits (by accounting for indirect or mediating effects through other traits). For this purpose we propose a two-step approach: we first apply an extended MR method to infer (i.e. both estimate and test) a causal network of total effects among multiple traits, then we modify a graph deconvolution algorithm to infer the corresponding network of direct effects. Simulation studies showed much better performance of our proposed method than existing ones. We applied the method to 17 large-scale GWAS summary datasets (with median N = 256879 and median #IVs = 48) to infer the causal networks of both total and direct effects among 11 common cardiometabolic risk factors, 4 cardiometabolic diseases (coronary artery disease, stroke, type 2 diabetes, atrial fibrillation), Alzheimer's disease and asthma, identifying some interesting causal pathways. We also provide an R Shiny app (https://zhaotongl.shinyapps.io/cMLgraph/) for users to explore any subset of the 17 traits of interest.

Association between prolonged exposure to long working hours and stroke subtypes in the CONSTANCES cohort

BACKGROUND

Though there is increasing evidence on the effect of long working hours (LWH) and stroke, few studies have distinguished stroke subtypes. We examined the associations between LWH and ischaemic or haemorrhagic stroke after adjusting for cardiovascular risk factors.

METHODS

From a national population-based cohort CONSTANCES, baseline questionnaires and initial health examinations were used to retrieve sociodemographic and cardiovascular risk factors from 2012 to 2018. LWH were defined as self-reported working time≥10 hours daily for at least 50 days per year. Incident cases of stroke were collected using International Classification of Disease codes recorded in the National Health Data System. Associations between LWH and stroke were investigated using multinomial models adjusted for cardiovascular risk factors.

RESULTS

Among the 160 751 participants who were free from stroke at baseline, exposure to LWH≥10 years was reported by 20 723 participants, and 190 incident cases of stroke were identified, including 134 ischaemic and 56 haemorrhagic. Exposure to LWH was associated with an elevated odds of ischaemic stroke (OR=1.61 (1.04-2.49)) and haemorrhagic stroke (OR=2.50 (1.38-4.53)) in unadjusted models. In adjusted multivariable models, only the LWH association with haemorrhagic stroke remained significant (aOR=1.92 (1.01-3.09)).

CONCLUSIONS

LWH were associated with stroke, though it remained significant for haemorrhagic stroke only after adjustments. Differences in direct and indirect biological pathways and lack of power in the ischaemic subgroup may explain these results and further studies on the impact of mediating and effect measure modifying factors are needed. Nevertheless, policies that attenuate effects of both LWH and cardiovascular risks factor are warranted.

Novel insight into the etiology of ischemic stroke gained by integrative transcriptome-wide association study

Stroke, characterized by sudden neurological deficits, is the second leading cause of death worldwide. Although genome-wide association studies (GWAS) have successfully identified many genomic regions associated with ischemic stroke (IS), the genes underlying risk and their regulatory mechanisms remain elusive. Here, we integrate a large-scale GWAS (N=1,296,908) for IS together with mRNA, splicing, enhancer RNA (eRNA) and protein expression data (N=11,588) from 50 tissues. We identify 136 genes/eRNA/proteins associated with IS risk across 54 independent genomic regions and find IS risk is most enriched for eQTLs in arterial and brain-related tissues. Focusing on IS-relevant tissues, we prioritize 9 genes/proteins using probabilistic fine-mapping TWAS analyses. In addition, we discover that blood cell traits, particularly reticulocyte cells, have shared genetic contributions with IS using TWAS-based pheWAS and genetic correlation analysis. Lastly, we integrate our findings with a large-scale pharmacological database and identify a secondary bile acid, deoxycholic acid, as a potential therapeutic component. Our work highlights IS risk genes/splicing-sites/enhancer activity/proteins with their phenotypic consequences using relevant tissues as well as identify potential therapeutic candidates for IS.

Defining the Age of Young Ischemic Stroke Using Data-Driven Approaches

Introduction: The cut-point for defining the age of young ischemic stroke (IS) is clinically and epidemiologically important, yet it is arbitrary and differs across studies. In this study, we leveraged electronic health records (EHRs) and data science techniques to estimate an optimal cut-point for defining the age of young IS. Methods: Patient-level EHRs were extracted from 13 hospitals in Pennsylvania, and used in two parallel approaches. The first approach included ICD9/10, from IS patients to group comorbidities, and computed similarity scores between every patient pair. We determined the optimal age of young IS by analyzing the trend of patient similarity with respect to their clinical profile for different ages of index IS. The second approach used the IS cohort and control (without IS), and built three sets of machine-learning models—generalized linear regression (GLM), random forest (RF), and XGBoost (XGB)—to classify patients for seventeen age groups. After extracting feature importance from the models, we determined the optimal age of young IS by analyzing the pattern of comorbidity with respect to the age of index IS. Both approaches were completed separately for male and female patients. Results: The stroke cohort contained 7555 ISs, and the control included 31,067 patients. In the first approach, the optimal age of young stroke was 53.7 and 51.0 years in female and male patients, respectively. In the second approach, we created 102 models, based on three algorithms, 17 age brackets, and two sexes. The optimal age was 53 (GLM), 52 (RF), and 54 (XGB) for female, and 52 (GLM and RF) and 53 (RF) for male patients. Different age and sex groups exhibited different comorbidity patterns. Discussion: Using a data-driven approach, we determined the age of young stroke to be 54 years for women and 52 years for men in our mainly rural population, in central Pennsylvania. Future validation studies should include more diverse populations.

Body Mass Index Measured Repeatedly over 42 Years as a Risk Factor for Ischemic Stroke: The HUNT Study

BACKGROUND

Higher BMI in middle age is associated with ischemic stroke, but little is known about BMI over adulthood, and the risk for ischemic stroke as most studies relied on a single measurement of BMI.

METHODS

BMI was measured four times over a period of 42 years. We calculated average BMI values and group-based trajectory models and related these to the prospective risk of ischemic stroke after the last examination in Cox models with a follow-up time of 12 years.

RESULTS

A total of 14,139 participants, with a mean age of 65.2 years and 55.4% women, had information on BMI from all four examinations, and we observed 856 ischemic strokes. People with overweight and obesity over adulthood had a higher risk for ischemic stroke with a multivariable-adjusted hazard ratio of 1.29 (95% CI 1.11-1.48) and 1.27 (95% CI 0.96-1.67), respectively, when compared to normal weight participants. Excess weight tended to have stronger effects earlier than later in life. A trajectory of developing obesity throughout life was associated with higher risk than other trajectories.

CONCLUSIONS

High average BMI, especially at an early age, is a risk factor for ischemic stroke. Early weight control and long-term weight reduction for those with high BMI may decrease the later occurrence of ischemic stroke.

Association of Cardiovascular Disease Risk and Health-Related Behaviors in Stroke Patients

Brain stroke continues to be a leading cause of mortality and disability in both developed and developing countries, with higher healthcare costs due to the long-term care and rehabilitation that it incurs. The purpose of the current study was to assess the association between brain stroke patients' health-related behaviors and their risk for cardiovascular disease.

METHODS

A cross-sectional study was carried out from March to August 2022 in the Vlora district regional hospital in Albania. The study included 150 out of 170 participants who met the necessary criteria, achieving an 88% response rate. Measurement tools included the Framingham Cardiovascular Risk Scale (FRS) and the Lifestyle Health Promotion Profile II (HPLP II).

RESULTS

The patients' average age was 65.9 ± 9.04 years. Over 65% of the stroke patients suffer from diabetes, and 47% from hypertension. About 31% of them have a high risk of hyperlipidemia (mean TC = 179 ± 28.5). About 32% of the brain stroke patients manifested unhealthy behaviors, while 84% of them had a high risk of cardiovascular disease (FRS = 19.5 ± 0.53). Cardiovascular disease (CVD) risk was statistically associated with stress management behaviors (p = 0.008; OR = 0.20; CI = 95%). This risk was highest in the over-70 age group as well as in men.

CONCLUSION

Brain stroke patients had a high probability of developing CVD. For better health among stroke patients, new evidence-based behavior change approaches must be introduced into preventative and management programs.

Risk of Stroke in Older Adults With Heart Failure

Heart failure (HF) is a risk factor for incident stroke. However, less is known about the independent nature of this association and to what extent various baseline characteristics may mediate this risk. Of the 5,795 community-dwelling adults aged ≥65 years in the Cardiovascular Health Study, 5,448 were free of baseline stroke, of whom 229 had baseline HF. We used a multivariable-adjusted Cox regression model to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for centrally adjudicated incident stroke associated with HF. Participants had a mean age of 73 years, 58% were women, and 15% were African-American. During 23 years of follow-up, incident stroke occurred in 18.8% and 19.3% of those with and without HF, respectively, but the time to first stroke was shorter in those with HF (age-gender-race-adjusted HR 1.64, 95% CI 1.21 to 2.25). The association remained essentially unchanged after adjustments for tobacco, alcohol, and physical activity (HR 1.63, 95% CI 1.21 to 2.24), attenuated after adjustment for hypertension, atrial fibrillation, myocardial infarction, and diabetes mellitus (HR 1.26, 95% CI 0.92 to 1.72), and further attenuated after additional adjustment for 10 baseline functional and subclinical variables (HR 1.05, 95% CI 0.76 to 1.46). In conclusion, despite a similar 23-year stroke incidence, time to first stroke was shorter in older adults with HF than without. However, this extra risk appears to be mediated primarily by 4 cardiovascular diseases that are also risk factors for HF. These findings highlight the importance of the primary prevention of these HF risk factors to reduce the extra risk of stroke in HF.

Impact of Preexisting Alcohol Use Disorder, Bipolar Disorder, and Schizophrenia on Ischemic Stroke Risk and Severity: A Lebanese Case-Control Study

BACKGROUND

Stroke remains a major leading cause of morbidity and death globally. For ischemic stroke, the most frequent type of stroke, there are numerous risk models and risk assessments offered. Further research into potential risk factors or triggers is being sought to improve stroke risk models. Schizophrenia, bipolar disorder, and alcohol use disorder are all common causes of serious mental illnesses in the general population. Due to the tangled relationship between stroke and many chronic illnesses, lifestyle factors, and diet that may be present in a patient with a mental disease, the relationship between mental diseases and stroke requires further validation. Consequently, the purpose of this study is to assess the potential influence of bipolar disorder, schizophrenia, and alcohol use disorder on stroke patients as compared to non-stroke participants, after controlling for demographic, physical, and medical conditions. We aimed, as a secondary objective, to evaluate the impact of these pre-existing disorders on stroke severity levels.

METHODS

This research is a case-control survey study involving 113 Lebanese patients with a clinical diagnosis of ischemic stroke and 451 gender-matched volunteers without clinical signs of stroke as controls recruited from several hospitals in Lebanon (April 2020-April 2021). Based on the participant's consent, data was collected by filling out an anonymous paper-based questionnaire.

RESULTS

All of the odds ratios (ORs) generated by our regression model were greater than 1, indicating that the factors studied were associated with an increased risk of ischemic stroke. As such having schizophrenia (adjusted OR [aOR]: 6.162, 95% confidence interval [CI]: 1.136-33.423), bipolar disorder (aOR: 4.653, 95% CI: 1.214-17.834), alcohol use disorder (aOR: 3.918, 95% CI: 1.584-9.689), atrial fibrillation (aOR: 2.415, 95% CI: 1.235-4.721), diabetes (aOR: 1.865, 95% CI: 1.117-3.115), heart diseases (aOR: 9.890, 95% CI: 5.099-19.184), and asthma-COPD (aOR: 1.971, 95% CI: 1.190-3.263) were all involved with a high risk of developing an ischemic stroke. Moreover, obesity (aOR: 1.732, 95% CI: 1.049-2.861) and vigorous physical activity (aOR: 4.614, 95% CI: 2.669-7.978) were also linked to an increased risk of stroke. Moreover, our multinomial regression model revealed that the odds of moderate to severe/severe stroke were significantly higher in people with pre-stroke alcohol use disorder (aOR: 1.719, 95% CI: 1.385-2.133), bipolar disorder (aOR: 1.656, 95% CI: 1.281-2.141), and schizophrenia (aOR: 6.884, 95% CI: 3.294-11.492) compared to people who had never had a stroke.

CONCLUSION

The findings in our study suggest that individuals with schizophrenia, bipolar disorder, and alcohol use disorder may be at a higher risk for ischemic stroke and exhibit more severe symptoms. We believe that the first step toward creating beneficial preventative and treatment interventions is determining individuals with schizophrenia, bipolar disorder, or alcohol use disorder, assessing their risk of ischemic stroke, developing more integrated treatments, and closely monitoring the long-term outcome in the event of an ischemic stroke.

Acupuncture Is Effective at Reducing the Risk of Stroke in Patients with Migraines: A Real-World, Large-Scale Cohort Study with 19-Years of Follow-Up

Migraines are common headache disorders and risk factors for subsequent strokes. Acupuncture has been widely used in the treatment of migraines; however, few studies have examined whether its use reduces the risk of strokes in migraineurs. This study explored the long-term effects of acupuncture treatment on stroke risk in migraineurs using national real-world data. We collected new migraine patients from the Taiwan National Health Insurance Research Database (NHIRD) from 1 January 2000 to 31 December 2017. Using 1:1 propensity-score matching, we assigned patients to either an acupuncture or non-acupuncture cohort and followed up until the end of 2018. The incidence of stroke in the two cohorts was compared using the Cox proportional hazards regression analysis. Each cohort was composed of 1354 newly diagnosed migraineurs with similar baseline characteristics. Compared with the non-acupuncture cohort, the acupuncture cohort had a significantly reduced risk of stroke (adjusted hazard ratio, 0.4; 95% confidence interval, 0.35-0.46). The Kaplan-Meier model showed a significantly lower cumulative incidence of stroke in migraine patients who received acupuncture during the 19-year follow-up (log-rank test, p < 0.001). Acupuncture confers protective benefits on migraineurs by reducing the risk of stroke. Our results provide new insights for clinicians and public health experts.

Eating Behaviors, Lifestyle, and Ischemic Stroke: A Lebanese Case-Control Study

BACKGROUND

Stroke is the second leading cause of death and the third leading cause of disability on a global scale. Most clinicians tend to underestimate the importance of diet and inadequate or dysfunctional eating attitudes in patients with a complicated relationship with food. Concerned about the potential of an independent Lebanese approach, and also because prior international research has revealed a link between eating intake or choice and ischemic stroke risk, it was considered vital to broaden the scope of the literature and evaluate further the association of disordered eating attitudes and focus on the distinct relationship with food in the case of orthorexia nervosa (ON) in the Lebanese community. Consequently, the purpose of the present study is to investigate the potential association between pre-existing disordered eating attitudes, specifically ON, and ischemic stroke risk, with an emphasis on the evidence supporting a Mediterranean-style diet.

METHODS

This research is a case-control survey study involving 113 Lebanese individuals with ischemic stroke and 451 age-(within 5 years) and sex-matched controls recruited from several hospitals in Lebanon (April 2020-April 2021).

RESULTS

According to the findings of our first regression model, living 100 m from a crowded road (adjusted odds ratio [aOR]: 3.421, 95% confidence interval [CI]: 1.585-7.387), living 100 m from an electricity generator (aOR: 3.686, 95% CI: 1.681-8.085), higher waterpipe dependence (aOR: 1.204, 95% CI: 1.117-1.297), higher exposure to passive smoking (aOR: 2.651, 95% CI: 2.051-3.426), being married (aOR: 3.545, 95% CI: 1.297-9.689), having a low educational attainment (aOR: 0.239, 95% CI: 0.084-0.679), vigorous physical activity (aOR: 1.003, 95% CI: 1.001-1.006), and having more inappropriate eating (aOR: 1.040, 95% CI: 1.006-1.074) were all associated with higher odds of having ischemic stroke. Furthermore, atrial fibrillation (aOR: 2.945, 95% CI: 1.010-8.585), diabetes (aOR: 2.550, 95% CI: 1.169-5.561), heart diseases (aOR: 6.193, 95% CI: 2.196-17.463), and hypertension (aOR: 2.744, 95% CI: 1.049-7.180) were also linked to an increased risk of stroke. Moreover, having more orthorexia nervosa tendencies (aOR: 1.123, 95% CI: 1.021-1.235) was related to a higher odds of having an ischemic stroke, whereas better adherence to the MeD was significantly linked (aOR: 0.691, 95% CI: 0.583-0.819) to lower odds of ischemic stroke.

CONCLUSIONS

Ischemic stroke patients were more likely to have disordered eating attitudes and orthorexic behaviors. Furthermore, the MeD has been found to be beneficial in reducing ischemic stroke risk. Despite the study's focus, outdoor pollution, waterpipe dependence, and passive smoking were linked to ischemic stroke. In summary, this review suggests that improving one's nutritional status and making a few lifestyle changes are key stroke prevention and treatment methods.

Oxidative stress in cerebrovascular disease and associated diseases

Cellular aging is the most severe risk factor for neurodegenerative disease. Simultaneously, oxidative stress (OS) is a critical factor in the aging process, resulting from an imbalance between reactive oxygen and nitrogen species and the antioxidant defense system. Emerging evidence indicates that OS is a common cause of several age-related brain pathologies, including cerebrovascular diseases. Elevated OS disrupts endothelial functional ability by diminishing the bioavailability of nitric oxide (a vascular dilator), induces atherosclerosis, and impairs vasculature, which are all common characteristics of cerebrovascular disease. In this review, we summarize evidence supporting an active role of OS in cerebrovascular disease progression, focusing primarily on stroke pathogenesis. We briefly discuss hypertension, diabetes, heart disease, and genetic factors that are often linked to OS and are considered associated factors influencing stroke pathology. Finally, we discuss the current pharmaceutics/therapeutics available for treating several cerebrovascular diseases.

Measuring the burden of comorbidity for ischaemic heart disease and four common non-communicable diseases in Iran, 1990-2017: a modelling study based on global burden of diseases data

OBJECTIVE

This modelling study aimed to estimate the comorbidity burden for four common non-communicable diseases with ischaemic heart diseases (IHD) in Iran during a period of 28 years.

DESIGN

Analysis of the burden of comorbidity with IHD based on data included prevalence rates and the disability weight (DW) average for calculating years lived with disability (YLDs) from the Iran population based on the Global Burden of Disease (GBD) study.

SETTING

Population-based available data in GBD 2017 study of Iran population.

PARTICIPANT

The source of data was the GBD 2017 Study. We evaluated IHD, major depressive disorder (MDD), diabetes mellitus (DM), ischaemic stroke (IS), and osteoarthritis (OA) age-standardised prevalence rates and their DW.

MAIN OUTCOME MEASURES

A new formula that modified the GBD calculator was used to measure the comorbidity YLDs. In the new formula, some multipliers were considered, measuring the departure from independence.

RESULT

The contribution of total comorbidity for each combination of IHD with DM, MDD, IS and OA was 2.5%, 2.0%, 1.6% and 2.9%, respectively. The highest YLD rates were observed for IHD_MDD, 16.5 in 1990 and 17.0 in 2017. This was followed by IHD_DM, from 11.5 to 16.9 per 100 000. The YLD rates for IHD_OA changed slightly (6.5-6.7) per 100 000, whereas there was a gradual reduction in the trends of IHD-IS, from 4.0-4.5 per 100 000.

CONCLUSION

Of the four comorbidities studied, the highest burden was due to the coexistence of MDD with IHD. Our results highlight the importance of addressing the burden of comorbidities when studying the burden of IHD or any other non-communicable disease.

Vertigo in Acute Stroke Is a Predictor of Brain Location but Is Not Related to Early Outcome: The Experience of Sagrat Cor Hospital of Barcelona Stroke Registry

BACKGROUND

Vertigo is an uncommon symptom among acute stroke victims. Knowledge about the clinical profile, the brain location, and the early outcome in stroke patients with cerebrovascular diseases and vertigo remains limited.

OBJECTIVES

In this study, the effects of vertigo on cerebral topography and early prognosis in cerebrovascular diseases were investigated.

METHODS

A comparative analysis in terms of demographics, risk factors, clinical characteristics, stroke subtypes, cerebral and vascular topography, and early outcome was performed between patients with presence or absence of vertigo on a sample of 3743 consecutive acute stroke patients available from a 24-year ongoing single-center hospital-based stroke registry.

RESULTS

Vertigo was present in 147 patients (3.9%). Multiple logistic regression analysis showed that variables independently associated with vertigo were: location in the cerebellum (OR 5.59, CI 95% 3.24-9.64), nausea or vomiting (OR 4.48, CI 95% 2.95-6.82), medulla (OR 2.87, CI 95% 1.31-6.30), pons (OR 2.39, CI 95% 1.26-4.51), basilar artery (OR 2.36, CI 95% 1.33-4.17), ataxia (OR 2.33, CI 95% 1.41-3.85), and headache (OR 2.31, CI 95% 1.53-3.49).

CONCLUSION

The study confirmed that the presence of vertigo was not related with increased in-hospital mortality or poor prognosis at hospital discharge. Vertigo is mainly related to non-lacunar vertebrobasilar stroke with topographic localization in the cerebellum and/or brainstem.