Pragmatic solutions to reduce the global burden of stroke: a World Stroke Organization-Lancet Neurology Commission

Challenges to Widespread Implementation of Stroke Thrombectomy

Endovascular treatment (EVT) for acute ischemic stroke is one of the most efficacious and effective treatments in medicine, yet globally, its implementation remains limited. Patterns of EVT underutilization exist in virtually any health care system and range from a complete lack of access to selective undertreatment of certain patient subgroups. In this review, we outline different patterns of EVT underutilization and possible causes. We discuss common challenges and bottlenecks that are encountered by physicians, patients, and other stakeholders when trying to establish and expand EVT services in different scenarios and possible pathways to overcome these challenges. Lastly, we discuss the importance of implementation research studies, strategic partnerships, and advocacy efforts to mitigate EVT underutilization.

Long Non-Coding H19 in Lymphocytes: Prognostic Value in Acute Ischemic Stroke Patients

Acute ischemic stroke (AIS) is a cerebrovascular disease that seriously affects the physical and mental health and quality of life of patients. However, there is a lack of reliable prognostic prediction methods. The main objective of this study was to investigate the prognostic value of long non-coding RNA (lncRNA) H19 in lymphocytes of patients with AIS, and to construct a prognostic prediction model for AIS including lncRNA H19 in lymphocytes, which would provide new ideas for the prognostic evaluation of AIS. Poor prognosis was defined when the patient's modified Rankin scale (mRS) score at 3 months after AIS onset was greater than 2. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to measure the level of lncRNA H19 in lymphocytes. Spearman correlation analysis revealed a positive correlation between lncRNA H19 and mRS score at 3 months after AIS onset (r = 0.1977, p = 0.0032), while lncRNA H19 was negatively correlated with white blood cells counts, lymphocytes counts, and neutrophils counts. Logistic regression analysis identified lncRNA H19 as an independent predictor of poor prognosis (OR = 3.062 [1.69-5.548], p < 0.001). Moreover, a nomogram prediction model incorporating lncRNA H19 in lymphocytes demonstrated effective discrimination, calibration, and clinical applicability in predicting AIS outcomes. The findings suggest that lncRNA H19 in lymphocytes could be a valuable prognostic indicator and a potential pharmacological target for AIS patients, and might be a novel pathway for enhanced prognostic evaluation and targeted therapeutic strategies.

Long-term colchicine for the prevention of vascular recurrent events in non-cardioembolic stroke (CONVINCE): a randomised controlled trial

BACKGROUND

Anti-inflammatory therapy with long-term colchicine prevented vascular recurrence in coronary disease. Unlike coronary disease, which is typically caused by atherosclerosis, ischaemic stroke is caused by diverse mechanisms including atherosclerosis and small vessel disease or is frequently due to an unknown cause. We aimed to investigate the hypothesis that long-term colchicine would reduce recurrent events after ischaemic stroke.

METHODS

We did a randomised, parallel-group, open-label, blinded endpoint assessed trial comparing long-term colchicine (0·5 mg orally per day) plus guideline-based usual care with usual care only. Hospital-based patients with non-severe, non-cardioembolic ischaemic stroke or high-risk transient ischaemic attack were eligible. The primary endpoint was a composite of first fatal or non-fatal recurrent ischaemic stroke, myocardial infarction, cardiac arrest, or hospitalisation (defined as an admission to an inpatient unit or a visit to an emergency department that resulted in at least a 24 h stay [or a change in calendar date if the hospital admission or discharge times were not available]) for unstable angina. The p value for significance was 0·048 to adjust for two prespecified interim analyses conducted by the data monitoring committee, for which the steering committee and trial investigators remained blinded. The trial was registered at ClinicalTrials.gov (NCT02898610) and is completed.

FINDINGS

3154 patients were randomly assigned between Dec 19, 2016, and Nov 21, 2022, with the last follow-up on Jan 31, 2024. The trial finished before the anticipated number of outcomes was accrued (367 outcomes planned) due to budget constraints attributable to the COVID-19 pandemic. Ten patients withdrew consent for analysis of their data, leaving 3144 patients in the intention-to-treat analysis: 1569 (colchicine and usual care) and 1575 (usual care alone). A primary endpoint occurred in 338 patients, 153 (9·8%) of 1569 patients allocated to colchicine and usual care and 185 (11·7%) of 1575 patients allocated to usual care alone (incidence rates 3·32 vs 3·92 per 100 person-years, hazard ratio 0·84; 95% CI 0·68-1·05, p=0·12). Although no between-group difference in C-reactive protein (CRP) was observed at baseline, patients treated with colchicine had lower CRP at 28 days and at 1, 2, and 3 years (p<0·05 for all timepoints). The rates of serious adverse events were similar in both groups.

INTERPRETATION

Although no statistically significant benefit was observed on the primary intention-to-treat analysis, the findings provide new evidence supporting the rationale for anti-inflammatory therapy in further randomised trials.

FUNDING

Health Research Board Ireland, Deutsche Forschungsgemeinschaft (German Research Foundation), and Fonds Wetenschappelijk Onderzoek Vlaanderen (Research Foundation Flanders), Belgium.

Population-based approaches for reducing stroke risk: an update on their success and the challenges ahead

INTRODUCTION

Stroke is a significant public health challenge as it is the second most common cause of death and the third leading cause of disability globally. Additionally, stroke incidence and the number of stroke deaths have been rising. Efforts to prevent stroke have been made, including high-risk approaches where patients are screened for cardiovascular risk factors, and population-based approaches which attempt to reduce stroke rates by improving overall population health.

AREAS COVERED

We summarize studies of population-based approaches to stroke prevention involving greater than 1,000 participants identified on a PubMed database search. Based on these programs, challenges of population-based stroke prevention programs are discussed and potential keys to success are highlighted.

EXPERT OPINION

Population-based stroke prevention programs face challenges including cost and interest of the public and certain stakeholders. Additionally, secular trends for improvement in risk factors and catastrophic adverse environmental circumstances add to the complexity of analyzing program success. Factors leading to successful programs include validated digital solutions for self-monitoring of risks, backing by global policy and legislation, flexibility to the needs of the population, intersectoral programs, community engagement, information dissemination back to the populations, and high-risk screening to develop a complementary combination approach to stroke prevention.

Venous Sinus Stent to Treat Paralysis

Transvenous treatment of paralysis is a concept less than a decade old. The Stentrode (Synchron, Inc, New York, USA) is a novel electrode on stent device intended to be implanted in the superior sagittal sinus adjacent to the motor cortex. Initial animal studies in sheep demonstrated the safety of the implant as well as its accuracy in detecting neural signals at both short and long term. Early human trials have shown the safety of the device and demonstrated the use of the Stentrode system in facilitating patients with paralysis to carry out daily activities such as texting, email, and personal finance. This is an emerging technology with promise, although certainly more research is required to better understand the capabilities and limitations of the device.

Stroke

Stroke affects up to one in five people during their lifetime in some high-income countries, and up to almost one in two in low-income countries. Globally, it is the second leading cause of death. Clinically, the disease is characterised by sudden neurological deficits. Vascular aetiologies contribute to the most common causes of ischaemic stroke, including large artery disease, cardioembolism, and small vessel disease. Small vessel disease is also the most frequent cause of intracerebral haemorrhage, followed by macrovascular causes. For acute ischaemic stroke, multimodal CT or MRI reveal infarct core, ischaemic penumbra, and site of vascular occlusion. For intracerebral haemorrhage, neuroimaging identifies early radiological markers of haematoma expansion and probable underlying cause. For intravenous thrombolysis in ischaemic stroke, tenecteplase is now a safe and effective alternative to alteplase. In patients with strokes caused by large vessel occlusion, the indications for endovascular thrombectomy have been extended to include larger core infarcts and basilar artery occlusion, and the treatment time window has increased to up to 24 h from stroke onset. Regarding intracerebral haemorrhage, prompt delivery of bundled care consisting of immediate anticoagulation reversal, simultaneous blood pressure lowering, and prespecified stroke unit protocols can improve clinical outcomes. Guided by underlying stroke mechanisms, secondary prevention encompasses pharmacological, vascular, or endovascular interventions and lifestyle modifications.

Personalized prediction of mortality in patients with acute ischemic stroke using explainable artificial intelligence

BACKGROUND

Research into the acute kidney disease (AKD) after acute ischemic stroke (AIS) is rare, and how clinical features influence its prognosis remain unknown. We aim to employ interpretable machine learning (ML) models to study AIS and clarify its decision-making process in identifying the risk of mortality.

METHODS

We conducted a retrospective cohort study involving AIS patients from January 2020 to June 2021. Patient data were randomly divided into training and test sets. Eight ML algorithms were employed to construct predictive models for mortality. The performance of the best model was evaluated using various metrics. Furthermore, we created an artificial intelligence (AI)-driven web application that leveraged the top ten most crucial features for mortality prediction.

RESULTS

The study cohort consisted of 1633 AIS patients, among whom 257 (15.74%) developed subacute AKD, 173 (10.59%) experienced AKI recovery, and 65 (3.98%) met criteria for both AKI and AKD. The mortality rate stood at 4.84%. The LightGBM model displayed superior performance, boasting an AUROC of 0.96 for mortality prediction. The top five features linked to mortality were ACEI/ARE, renal function trajectories, neutrophil count, diuretics, and serum creatinine. Moreover, we designed a web application using the LightGBM model to estimate mortality risk.

CONCLUSIONS

Complete renal function trajectories, including AKI and AKD, are vital for fitting mortality in AIS patients. An interpretable ML model effectively clarified its decision-making process for identifying AIS patients at risk of mortality. The AI-driven web application has the potential to contribute to the development of personalized early mortality prevention.

Rehabilitation with brain-computer interface and upper limb motor function in ischemic stroke: A randomized controlled trial

BACKGROUND

Upper limb motor dysfunction is a major problem in the rehabilitation of patients with stroke. Brain-computer interface (BCI) is a kind of communication system that converts the "ideas" in the brain into instructions and has been used in stroke rehabilitation. This study aimed to investigate the efficacy and safety of BCI in rehabilitation training on upper limb motor function among patients with ischemic stroke.

METHODS

This was an investigator-initiated, multicenter, randomized, open-label, blank-controlled clinical trial with blinded outcome assessment conducted at 17 centers in China. Patients were assigned in a 1:1 ratio to the BCI group or the control group based on traditional rehabilitation training. The primary efficacy outcome is the difference in improvement of the Fugl-Meyer Assessment upper extremity (FMA-UE) score between two groups at month 1 after randomization. The safety outcomes were any adverse events within 3 months.

FINDINGS

A total of 296 patients with ischemic stroke were enrolled and randomly allocated to the BCI group (n = 150) and the control group (n = 146). The primary efficacy outcomes of FMA-UE score change from baseline to 1 month were 13.17 (95% confidence interval [CI], 11.56-14.79) in the BCI group and 9.83 (95% CI, 8.19-11.47) in the control group (mean difference between groups was 3.35; 95% CI, 1.05-5.65; p = 0.0045). Adverse events occurred in 33 patients (22.00%) in the BCI group and in 31 patients (21.23%) in the control group.

CONCLUSIONS

BCI rehabilitation training can further improve upper limb motor function based on traditional rehabilitation training in patients with ischemic stroke. This study was registered at ClinicalTrials.gov: NCT04387474.

FUNDING

This work was supported by the National Key R&D Program of China (2018YFC1312903), the National Key Research and Development Program of China (2022YFC3600600), the Training Fund for Open Projects at Clinical Institutes and Departments of Capital Medical University (CCMU2022ZKYXZ009), the Beijing Natural Science Foundation Haidian original innovation joint fund (L222123), the Fund for Young Talents of Beijing Medical Management Center (QML20230505), and the high-level public health talents (xuekegugan-02-47).

The burden of neurological conditions in north Africa and the Middle East, 1990-2019: a systematic analysis of the Global Burden of Disease Study 2019

BACKGROUND

The burden of neurological conditions in north Africa and the Middle East is increasing. We aimed to assess the changes in the burden of neurological conditions in this super-region to aid with future decision making.

METHODS

In this analysis of the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 data, we examined temporal trends of disability-adjusted life-years (DALYs; deaths and disabilities combined), deaths, incident cases, and prevalent cases of 14 major neurological conditions and eight subtypes in 21 countries in the north Africa and the Middle East super-region. Additionally, we assessed neurological DALYs due to 22 potentially modifiable risk factors, within four levels of classification, during the period 1990-2019. We used a Bayesian modelling estimation approach, and generated 95% uncertainty intervals (UIs) for final estimates on the basis of the 2·5th and 97·5th percentiles of 1000 draws from the posterior distribution.

FINDINGS

In 2019, there were 441·1 thousand (95% UI 347·2-598·4) deaths and 17·6 million (12·5-24·7) neurological DALYs in north Africa and the Middle East. The leading causes of neurological DALYs were stroke, migraine, and Alzheimer's disease and other dementias (hereafter dementias). In north Africa and the Middle East in 2019, 85·8% (82·6-89·1) of stroke and 39·9% (26·4-54·7) of dementia age-standardised DALYs were attributable to modifiable risk factors. North Africa and the Middle East had the highest age-standardised DALY rates per 100 000 population due to dementia (387·0 [172·0-848·5]), Parkinson's disease (84·4 [74·7-103·2]), and migraine (601·4 [107·0-1371·8]) among the global super-regions. Between 1990 and 2019, there was a decrease in the age-standardised DALY rates related to meningitis (-75·8% [-81·1 to -69·5]), tetanus (-88·2% [-93·9 to -76·1]), stroke (-32·0% [-39·1 to -23·3]), intracerebral haemorrhage (-51·7% [-58·2 to -43·8]), idiopathic epilepsy (-26·2% [-43·6 to -1·1]), and subarachnoid haemorrhage (-62·8% [-71·6 to -41·0]), but for all other neurological conditions there was no change. During 1990-2019, the number of DALYs due to dementias, Parkinson's disease, multiple sclerosis, ischaemic stroke, and headache disorder (ie, migraine and tension-type headache) more than doubled in the super-region, and the burden of years lived with disability (YLDs), incidence, and prevalence of multiple sclerosis, motor neuron disease, Parkinson's disease, and ischaemic stroke increased both in age-standardised rate and count. During this period, the absolute burden of YLDs due to head and spinal injuries almost doubled.

INTERPRETATION

The increasing burden of neurological conditions in north Africa and the Middle East accompanies the increasing ageing population. Stroke and dementia are the primary causes of neurological disability and death, primarily attributable to common modifiable risk factors. Synergistic, systematic, lifetime, and multi-sectoral interventions aimed at preventing or mitigating the burden are needed.

FUNDING

Bill & Melinda Gates Foundation.

TRANSLATIONS

For the Persian, Arabic and Turkish translations of the abstract see Supplementary Materials section.

Neurocritical Care for Patients With Ischemic Stroke

OBJECTIVE

Management of stroke due to large vessel occlusion (LVO) has undergone unprecedented change in the past decade. Effective treatment with thrombectomy has galvanized the field and led to advancements in all aspects of care. This article provides a comprehensive examination of neurologic intensive care unit (ICU) management of patients with stroke due to LVO. The role of the neurocritical care team in stroke systems of care and the importance of prompt diagnosis, initiation of treatment, and continued monitoring of patients with stroke due to LVO is highlighted.

LATEST DEVELOPMENTS

The management of complications commonly associated with stroke due to LVO, including malignant cerebral edema and respiratory failure, are addressed, stressing the importance of early identification and aggressive treatment in mitigating negative effects on patients' prognoses. In the realm of medical management, this article discusses various medical therapies, including antithrombotic therapy, blood pressure management, and glucose control, outlining evidence-based strategies for optimizing patient outcomes. It further emphasizes the importance of a multidisciplinary approach to provide a comprehensive care model. Lastly, the critical aspect of family communication and prognostication in the neurologic ICU is addressed.

ESSENTIAL POINTS

This article emphasizes the multidimensional aspects of neurocritical care in treating patients with stroke due to LVO.

Population-wide impact of a pragmatic program to identify and manage individuals at high-risk of cardiovascular disease: a cluster randomized trial in 120 villages from Northern China

Objectives

To explore the population-wide impacts of an evidence-based high-risk strategy for prevention of cardiovascular diseases in resource-poor populations.

Methods

A cluster randomized controlled trial was conducted among 120 villages in rural China, with 60 on intervention and 60 on usual care as controls, for 2 years. The intervention emphasized training village doctors to identify high-risk individuals and administering standardized treatments focusing on hypertension management. A random sample of 20 men aged ≥50 years and 20 women aged ≥60 years was drawn from each village before randomization for the baseline survey, and another independent random sample with the same age and sex distribution was drawn at 2 years for the post-intervention survey. The primary outcome was the population mean systolic blood pressure (SBP). Secondary outcomes included the proportions of patients who received regular primary care, antihypertensive medications, aspirin, or lifestyle advice.

Results

A total of 5,654 high cardiovascular risk individuals were identified and managed by village doctors in intervention villages for 15 months on average, with mean SBP lowered by 19.8 mmHg and the proportion with blood pressure under control increased from 22.1% to 72.7%. The primary analysis of the two independent samples (5,050 and 4,887 participants each) showed that population-wide mean SBP in intervention villages did not differ from that in control villages at 2 years (mean difference = 1.0 mmHg, 95% CI: -2.19, 4.26; P = 0.528), though almost all secondary outcomes concerning primary care indicators significantly increased in intervention villages.

Conclusions

In our study, the pragmatic cardiovascular risk management program targeting on high-risk individuals significantly improved the quality of primary care. However, its impact on population blood pressure level and the burden of hypertension-related diseases appeared very limited.

Clinical Trial Registration

ClinicalTrial.gov identifier, NCT01259700.

Evaluating the influence of a 3-min online video on the community knowledge of stroke in four Arab countries

Introduction

Studies from developed and developing countries showed that the knowledge levels of stroke need improvement. Educational campaigns varied and were of limited influence predominantly because of their short duration and the need for financial support. The study aims to test the impact of a 3-min online video on the knowledge of stroke and factors influencing the knowledge score in four Arab countries.

Methods

A cross-sectional web-based pre-post study was conducted in Egypt, Jordan, Lebanon, and the United Arab Emirates. The data were collected using the snowball technique. Participants were adults aged 18 years and above. The questionnaire sequence was conducting a pretest, followed by the educational video explaining stroke occurrence, types, risks, warning signs, preventive measures, and treatment, and finally, a posttest to evaluate the differences in knowledge from baseline. Statistical analysis included paired t-tests comparing pre-post-education stroke knowledge scores, while repeated measures ANOVA, adjusting for covariates, assessed mean changes.

Results

The total number of participants was 2,721, mainly younger than 55 years. The majority had a university degree and were not healthcare professionals. A significant improvement was noted in the total knowledge score in all countries from a mean average (Mpretest = 21.11; Mposttest = 23.70) with p < 0.001. Identification of the stroke risks (Mpretest = 7.40; Mposttest = 8.75) and warning signs (Mpretest = 4.19; Mposttest = 4.94), understanding the preventive measures (Mpretest = 5.27; Mposttest = 5.39) and the importance of acting fast (Mpretest = 0.82; Mposttest = 0.85) improved from baseline with (p < 0.001) for all score components.

Conclusion

The educational tool successfully enhanced public understanding of stroke risks, the identification of stroke signs, and the critical need for emergency action. The advantages of this video include its short length, free online access, use of evidence-based content in lay language, and reflective images. The ultimate goal remains the long-term improvement of sustainability by mandating full-scale trials.

Artificial intelligence to predict individualized outcome of acute ischemic stroke patients: The SIBILLA project

INTRODUCTION

Formulating reliable prognosis for ischemic stroke patients remains a challenging task. We aimed to develop an artificial intelligence model able to formulate in the first 24 h after stroke an individualized prognosis in terms of NIHSS.

PATIENTS AND METHODS

Seven hundred ninety four acute ischemic stroke patients were divided into a training (597) and testing (197) cohort. Clinical and instrumental data were collected in the first 24 h. We evaluated the performance of four machine-learning models (Random Forest, K-Nearest Neighbors, Support Vector Machine, XGBoost) in predicting NIHSS at discharge both in terms of variation between discharge and admission (regressor approach) and in terms of severity class namely NIHSS 0-5, 6-10, 11-20, >20 (classifier approach). We used Shapley Additive exPlanations values to weight features impact on predictions.

RESULTS

XGBoost emerged as the best performing model. The classifier and regressor approaches perform similarly in terms of accuracy (80% vs 75%) and f1-score (79% vs 77%) respectively. However, the regressor has higher precision (85% vs 68%) in predicting prognosis of very severe stroke patients (NIHSS > 20). NIHSS at admission and 24 hours, GCS at 24 hours, heart rate, acute ischemic lesion on CT-scan and TICI score were the most impacting features on the prediction.

DISCUSSION

Our approach, which employs an artificial intelligence based-tool, inherently able to continuously learn and improve its performance, could improve care pathway and support stroke physicians in the communication with patients and caregivers.

CONCLUSION

XGBoost reliably predicts individualized outcome in terms of NIHSS at discharge in the first 24 hours after stroke.

Machine learning models reveal the critical role of nighttime systolic blood pressure in predicting functional outcome for acute ischemic stroke after endovascular thrombectomy

Background

Blood pressure (BP) is a key factor for the clinical outcomes of acute ischemic stroke (AIS) receiving endovascular thrombectomy (EVT). However, the effect of the circadian pattern of BP on functional outcome is unclear.

Methods

This multicenter, retrospective, observational study was conducted from 2016 to 2023 at three hospitals in China (ChiCTR2300077202). A total of 407 patients who underwent endovascular thrombectomy (EVT) and continuous 24-h BP monitoring were included. Two hundred forty-one cases from Beijing Hospital were allocated to the development group, while 166 cases from Peking University Shenzhen Hospital and Hainan General Hospital were used for external validation. Postoperative systolic BP (SBP) included daytime SBP, nighttime SBP, and 24-h average SBP. Least absolute shrinkage and selection operator (LASSO), support vector machine-recursive feature elimination (SVM-RFE), Boruta were used to screen for potential features associated with functional dependence defined as 3-month modified Rankin scale (mRS) score ≥ 3. Nine algorithms were applied for model construction and evaluated using area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and accuracy.

Results

Three hundred twenty-eight of 407 (80.6%) patients achieved successful recanalization and 182 patients (44.7%) were functional independent. NIHSS at onset, modified cerebral infarction thrombolysis grade, atrial fibrillation, coronary atherosclerotic heart disease, hypertension were identified as prognostic factors by the intersection of three algorithms to construct the baseline model. Compared to daytime SBP and 24-h SBP models, the AUC of baseline + nighttime SBP showed the highest AUC in all algorithms. The XGboost model performed the best among all the algorithms. ROC results showed an AUC of 0.841 in the development set and an AUC of 0.752 in the validation set for the baseline plus nighttime SBP model, with a brier score of 0.198.

Conclusion

This study firstly explored the association between circadian BP patterns with functional outcome for AIS. Nighttime SBP may provide more clinical information regarding the prognosis of patients with AIS after EVT.

Risk and sex-specific trends of dementia and stroke in Italy Compared to European and high-income countries and the world: global implications

BACKGROUND

Understanding the increasing trends in Italy may inform new prevention strategies and better treatments. We investigated trends and risk factors of dementia, stroke, and ischemic heart disease (IHD) in Italy with the second-oldest population globally, compared to European and high-income countries and the world.

METHODS

We analyzed the Global Burden of Disease Study (GBD) 2019 estimates on incidence and burden (i.e., disability and death combined) of the three conditions in both sexes. We also analyzed the burden attributable to 12 modifiable risk factors and their changes during 1990-2019.

RESULTS

In 2019, Italy had 186,108 new dementias (123,885 women) and 94,074 new strokes (53,572 women). Women had 98% higher crude dementia and 24% higher crude stroke burdens than men. The average age-standardized new dementia rate was 114.7 per 100,000 women and 88.4 per 100,000 men, both higher than Western Europe, the European Union, high-income countries, and the world. During 1990-2019, this rate increased in both sexes (4%), despite a decline in stroke (- 45%) and IHD (- 17%) in Italy. Dementia burden attributable to tobacco decreased in both sexes (- 12.7%) during 1990-2019, while high blood glucose and high body mass index combined burden increased (25.4%). Stroke and IHD had similar trends.

CONCLUSIONS

While decreases in new strokes and IHDs are encouraging, new approaches to their joint prevention are required to reverse the rising dementia trends, especially among women. Life course approaches to promoting holistic brain health should be implemented at the community, national, and international levels before the growing trends become overwhelming.

The added value of frailty assessment as the premorbid stroke status on activities of daily living in patients with acute stroke, stratified by stroke severity

BACKGROUND

The modified Rankin scale (mRS) is extensively used for premorbid evaluation in patients with stroke; however, its limited capacity to assess functional status highlights the need for additional indicators such as frailty.

AIMS

This study aimed to assess the impact of the premorbid mRS score and frailty on daily living (ADL) activities at hospital discharge, focusing on varying stroke severities.

METHODS

This single-centre, prospective cohort study included patients with acute stroke aged ≥60 years. Key metrics included the frailty index for frailty assessment or mRS for functional status premorbid and the functional independence measure of the motor domain (FIM-M) at discharge for ADL outcomes. The patients were categorized into mild (0-4), moderate (5-15), and severe (16-42) groups based on the National Institute of Health Stroke Scale. Multiple hierarchical linear regression analyses were performed for each group to evaluate the influence of mRS and frailty on FIM-M scores.

RESULTS

In the mild stroke group, significant associations were observed with premorbid mRS3 (β = -0.183, p = 0.004), mRS4 (β = -0.234, p < 0.001), and frailty status (β = -0.227, p = 0.005) and FIM-M scores. Premorbid frailty did not show a significant association with the FIM-M scores in the moderate or severe stroke group. Frailty status notably contributed to changes in R², particularly in the mild stroke group (R² change = 0.031, p = 0.002). However, such changes were not evident in the other stroke severity groups.

CONCLUSION

This study emphasizes the importance of incorporating frailty assessments into premorbid evaluations, particularly when considering ADL outcomes in patients with mild stroke. Conversely, the significance of frailty in moderate-to-severe stroke was less evident.

Artificial intelligence in neurology: opportunities, challenges, and policy implications

Neurological conditions are the leading cause of disability and mortality combined, demanding innovative, scalable, and sustainable solutions. Brain health has become a global priority with adoption of the World Health Organization's Intersectoral Global Action Plan in 2022. Simultaneously, rapid advancements in artificial intelligence (AI) are revolutionizing neurological research and practice. This scoping review of 66 original articles explores the value of AI in neurology and brain health, systematizing the landscape for emergent clinical opportunities and future trends across the care trajectory: prevention, risk stratification, early detection, diagnosis, management, and rehabilitation. AI's potential to advance personalized precision neurology and global brain health directives hinges on resolving core challenges across four pillars-models, data, feasibility/equity, and regulation/innovation-through concerted pursuit of targeted recommendations. Paramount actions include swift, ethical, equity-focused integration of novel technologies into clinical workflows, mitigating data-related issues, counteracting digital inequity gaps, and establishing robust governance frameworks balancing safety and innovation.

Association between the blood urea nitrogen-to-creatinine ratio and 3-month outcomes in patients with acute ischemic stroke: a secondary analysis based on a prospective cohort study

Introduction

This study aimed to assess the correlation between the blood urea nitrogen (BUN)-to-creatinine (BUN/Cr) ratio and adverse outcomes (AOs) at 3 months in patients with acute ischemic stroke (AIS) in the Korean population.

Methods

This cohort study encompassed 1906 cases of AIS at a South Korean hospital from January 2010 to December 2016. To determine the linear correlation between the BUN/Cr ratio and AOs in AIS, a binary logistic regression model (BLRM) was employed. Additionally, generalized additive models and techniques for smooth curve fitting were utilized to reveal the nonlinear dynamics between the BUN/Cr ratio and AOs in patients with AIS.

Results

The prevalence of AOs was 28.65%, with a median BUN/Cr ratio of 18.96. Following adjustments for covariates, the BLRM disclosed that the association between the BUN/Cr ratio and the risk of AOs in patients with AIS did not attain statistical significance. Nevertheless, a nonlinear relationship surfaced, pinpointing an inflection point at 21.591. To the left of this inflection point, a 31.42% reduction in the risk of AOs was noted for every 1-unit surge in the Z score of the BUN/Cr ratio [odds ratio (OR) = 0.686, 95% confidence interval (CI): 0.519, 0.906, p = 0.008]. On the right side of the inflection point, the effect size (OR = 1.405, 95% CI: 1.018, 1.902, p = 0.039) was determined.

Conclusion

The findings of this study underscore the intricate nature of the relationship between the BUN/Cr ratio and 3-month outcomes in patients with AIS, establishing a robust groundwork for future investigations.

Length of Hospitalization and Mortality among Stroke Patients before and after the Implementation of a Specialized Unit: A Retrospective Cohort Study Using Real-World Data from One Reference Hospital in Southern Brazil

Stroke constitutes a significant global cause of mortality and disability. The implementation of stroke units influences hospital quality indicators, guiding care management. We aimed to compare hospital length of stay (LOS), in-hospital mortality, and post-discharge mortality between stroke patients admitted in the pre- and post-implementation periods of a stroke unit in a public hospital in southern Brazil. This retrospective cohort study used real-world data from one reference hospital, focusing on the intervention (stroke unit) and comparing it to the general ward (control). We analyzed the electronic medical records of 674 patients admitted from 2009 to 2012 in the general ward and 766 patients from 2013 to 2018 in the stroke unit. Admission to the stroke unit was associated with a 43% reduction in the likelihood of prolonged hospitalization. However, there was no significant difference in the risk of in-hospital mortality between the groups (Hazard ratio = 0.90; Interquartile range = 0.58 to 1.39). The incidence of death at three, six and twelve months post-discharge did not differ between the groups. Our study results indicate significant improvements in care processes for SU patients, including shorter LOS and better adherence to treatment protocols. However, our observations revealed no significant difference in mortality rates, either during hospitalization or after discharge, between the SU and GW groups. While SU implementation enhances efficiency in stroke care, further research is needed to explore long-term outcomes and optimize management strategies.

Associations between Life's Essential 8 and post-stroke depression and all-cause mortality among US adults

BACKGROUND

Depression is the common mental disease after stroke. Our objective was to investigate the correlation of Life's Essential 8 (LE8), the recently updated evaluation of cardiovascular health, with the occurrence of post-stroke depression (PSD) and all-cause mortality among United States (US) adults.

METHODS

Participants with stroke were chosen from the National Health and Nutrition Examination Survey (NHANES) between 2005 and 2018. The relationship between LE8 and the risk of PSD was assessed through weighted multiple logistic models. A restricted cubic spline was employed for the examination of correlations. To demonstrate the stability of the results, sensitivity analysis and subgroup analysis were carried out. Furthermore, Cox regression models were used for the correlation between LE8 and all-cause mortality.

RESULTS

In this study, a total of 1071 participants were included for analysis. It was observed that LE8 score and PSD risk shared an inverse relationship in per 10 points increase [OR = 0.62 (0.52-0.74, P < 0.001)] in logistic regression models. The analysis of restricted cubic spline demonstrated approximately a noticeable inverse linear association between LE8 score and PSD risk. Sensitivity analysis verified the stability of the findings. Moreover, no statistically significant interactions were identified in subgroup analysis. A reverse association between LE8 score and all-cause mortality was also observed with a 10-point increase [HR = 0.85 (0.78-0.94, P < 0.001)] in cox regression models.

CONCLUSIONS

A negative correlation was discovered between LE8 score and PSD and all-cause mortality risk among US adults. We need to conduct large-scale prospective studies to further validate our results.

Addressing Disparities in Acute Stroke Management and Prognosis

There are now abundant data demonstrating disparities in acute stroke management and prognosis; however, interventions to reduce these disparities remain limited. This special report aims to provide a critical review of the current landscape of disparities in acute stroke care and highlight opportunities to use implementation science to reduce disparities throughout the early care continuum. In the prehospital setting, stroke symptom recognition campaigns that have been successful in reducing prehospital delays used a multilevel approach to education, including mass media, culturally tailored community education, and professional education. The mobile stroke unit is an organizational intervention that has the potential to provide more equitable access to timely thrombolysis and thrombectomy treatments. In the hospital setting, interventions to address implicit biases among health care providers in acute stroke care decision-making are urgently needed as part of a multifaceted approach to advance stroke equity. Implementing stroke systems of care interventions, such as evidence-based stroke care protocols at designated stroke centers, can have a broader public health impact and may help reduce geographic, racial, and ethnic disparities in stroke care, although further research is needed. The long-term impact of disparities in acute stroke care cannot be underestimated. The consistent trend of longer time to treatment for Black and Hispanic people experiencing stroke has direct implications on long-term disability and independence after stroke. A learning health system model may help expedite the translation of evidence-based interventions into clinical practice to reduce disparities in stroke care.

Addressing disparities in the global epidemiology of stroke

Stroke is the second leading cause of death and the third leading cause of disability worldwide. Though the burden of stroke worldwide seems to have declined in the past three decades, much of this effect reflects decreases in high-income countries (HICs). By contrast, the burden of stroke has grown rapidly in low-income and middle-income countries (LMICs), where epidemiological, socioeconomic and demographic shifts have increased the incidence of stroke and other non-communicable diseases. Furthermore, even in HICs, disparities in stroke epidemiology exist along racial, ethnic, socioeconomic and geographical lines. In this Review, we highlight the under-acknowledged disparities in the burden of stroke. We emphasize the shifting global landscape of stroke risk factors, critical gaps in stroke service delivery, and the need for a more granular analysis of the burden of stroke within and between LMICs and HICs to guide context-appropriate capacity-building. Finally, we review strategies for addressing key inequalities in stroke epidemiology, including improvements in epidemiological surveillance and context-specific research efforts in under-resourced regions, development of the global workforce of stroke care providers, expansion of access to preventive and treatment services through mobile and telehealth platforms, and scaling up of evidence-based strategies and policies that target local, national, regional and global stroke disparities.

Developing Systems of Care for Stroke in Resource-limited Settings

Although stroke prevention and treatment strategies have significantly advanced in recent years, implementation of these care elements in resource-limited settings can be challenging, since the burden of stroke is higher and access to stroke care is lower. Barriers to stroke care in resource-limited settings include insufficient prevention, reduced awareness of stroke symptoms, limited prehospital care and lack of triage systems, limited access to comprehensive stroke centers, inadequate personnel education, lack of staff and resources, as well as limited access to neuroimaging, thrombolytics, mechanical thrombectomy, neurosurgical care, and rehabilitation. Here, we suggest strategies to improve stroke care in these settings, including public health campaigns, protocols for prehospital notification, organized flow to specialized stroke centers, development of dedicated stroke units, and utilization of telemedicine and telerehabilitation. We also highlight the role of international organizations and governments in reducing the global burden of stroke.

National plans and awareness campaigns as priorities for achieving global brain health

Neurological conditions are the leading cause of death and disability combined. This public health crisis has become a global priority with the introduction of WHO's Intersectoral Global Action Plan on Epilepsy and Other Neurological Disorders 2022-2031 (IGAP). 18 months after this plan was adopted, global neurology stakeholders, including representatives of the OneNeurology Partnership (a consortium uniting global neurology organisations), take stock and advocate for urgent acceleration of IGAP implementation. Drawing on lessons from relevant global health contexts, this Health Policy identifies two priority IGAP targets to expedite national delivery of the entire 10-year plan: namely, to update national policies and plans, and to create awareness campaigns and advocacy programmes for neurological conditions and brain health. To ensure rapid attainment of the identified priority targets, six strategic drivers are proposed: universal community awareness, integrated neurology approaches, intersectoral governance, regionally coordinated IGAP domestication, lived experience-informed policy making, and neurological mainstreaming (advocating to embed brain health into broader policy agendas). Contextualised with globally emerging IGAP-directed efforts and key considerations for intersectoral policy design, this novel framework provides actionable recommendations for policy makers and IGAP implementation partners. Timely, synergistic pursuit of the six drivers might aid WHO member states in cultivating public awareness and policy structures required for successful intersectoral roll-out of IGAP by 2031, paving the way towards brain health for all.

Endovascular Thrombectomy for Acute Ischemic Stroke in Indonesia: Challenging and Strategic Planning

High rates of morbidity and mortality indicate that stroke is a major health concern. Unfortunately, the management of ischemic stroke is hindered by several obstacles, particularly in developing countries such as Indonesia, where the burden of morbidity and mortality remains high. In this literature review, we intend to conduct a thorough investigation and analysis of the obstacles to stroke thrombectomy in developing countries, with a focus on Indonesia. Even though numerous studies and recent advances in thrombectomy techniques have been developed, many centers around the world continue to struggle to implement them. The majority of these institutions are located in developing nations like Indonesia. It faces numerous obstacles, including a lack of public awareness, infrastructure, human resources, and financial difficulties. The absence of early education and large-scale campaigns contributes to the dearth of public awareness. Inadequate imaging facilities, prehospital and referral systems, as well as disparities in healthcare expenditure and accessibility, contribute to the absence of infrastructure. Inadequate numbers of neurointerventionists, neurologists, and neurosurgeons, as well as a disparate distribution of these professionals, contribute to human resource issues. Inadequate national insurance coverage, high import tariffs on medical devices, and the high cost of healthcare have a negative impact on the financial situation. We provide related strategies regarding the current situation in Indonesia based on the recent evidence and comparison with developed countries. Academic institutions, medical associations, and government agencies must collaborate to overcome these challenges.

Bidirectional modification effects on nonlinear associations of summer temperature and air pollution with first-ever stroke morbidity

High temperature and air pollution may induce stroke morbidity. However, whether associations between high temperature and air pollution with stroke morbidity are modified by each other is still unclear. Data on 23,578 first-ever stroke patients in Shenzhen, China, during the summers of 2014-2018 were collected. Distributed lag nonlinear models were used to assess the modifying effects of air pollution stratified by the median for the associations between summer temperature and stroke morbidity at 0-3 lag days; modifying effects of temperature stratified by the minimum morbidity temperature on the associations between air pollution and stroke morbidity at the same lags were also estimated. The attributable risks of high temperature and high pollution on stroke morbidity were quantified. Stratified analyses of gender, age, migration type, and complication type were conducted to assess vulnerable population characteristics. Summer high temperature may induce stroke morbidity at high-level PM2.5, PM10, O3, SO2, and NO2 conditions, with attributable fraction (AF) of 2.982% (95% empirical confidence interval [eCI]: 0.943, 4.929), 3.113% (0.948, 5.200), 2.841% (0.943, 4.620), 3.617% (1.539, 5.470), and 2.048% (0.279, 3.637), respectively. High-temperature effects were statistically insignificant at corresponding low-level air pollution conditions. High-level PM2.5, PM10, and O3 may induce stroke morbidity at high-temperature conditions, with AF of 3.664% (0.036, 7.196), 4.129% (0.076, 7.963), and 4.574% (1.009, 7.762), respectively. High-level PM2.5, PM10, and O3 were not associated with stroke morbidity at low-temperature conditions. The effects of high temperature and high pollution on stroke morbidity were statistically significant among immigrants and patients with hypertension, dyslipidemia, or diabetes but insignificant among natives and patients without complications. The associations of summer temperature and air pollution with first-ever stroke morbidity may be enhanced bidirectionally. Publicity on the health risks of combined high temperature and high pollution events should be strengthened to raise protection awareness of relevant vulnerable populations.

Cancer screening in hospitalized ischemic stroke patients: a multicenter study focused on multiparametric analysis to improve management of occult cancers

Background/aims

The reciprocal promotion of cancer and stroke occurs due to changes in shared risk factors, such as metabolic pathways and molecular targets, creating a "vicious cycle." Cancer plays a direct or indirect role in the pathogenesis of ischemic stroke (IS), along with the reactive medical approach used in the treatment and clinical management of IS patients, resulting in clinical challenges associated with occult cancer in these patients. The lack of reliable and simple tools hinders the effectiveness of the predictive, preventive, and personalized medicine (PPPM/3PM) approach. Therefore, we conducted a multicenter study that focused on multiparametric analysis to facilitate early diagnosis of occult cancer and personalized treatment for stroke associated with cancer.

Methods

Admission routine clinical examination indicators of IS patients were retrospectively collated from the electronic medical records. The training dataset comprised 136 IS patients with concurrent cancer, matched at a 1:1 ratio with a control group. The risk of occult cancer in IS patients was assessed through logistic regression and five alternative machine-learning models. Subsequently, select the model with the highest predictive efficacy to create a nomogram, which is a quantitative tool for predicting diagnosis in clinical practice. Internal validation employed a ten-fold cross-validation, while external validation involved 239 IS patients from six centers. Validation encompassed receiver operating characteristic (ROC) curves, calibration curves, decision curve analysis (DCA), and comparison with models from prior research.

Results

The ultimate prediction model was based on logistic regression and incorporated the following variables: regions of ischemic lesions, multiple vascular territories, hypertension, D-dimer, fibrinogen (FIB), and hemoglobin (Hb). The area under the ROC curve (AUC) for the nomogram was 0.871 in the training dataset and 0.834 in the external test dataset. Both calibration curves and DCA underscored the nomogram's strong performance.

Conclusions

The nomogram enables early occult cancer diagnosis in hospitalized IS patients and helps to accurately identify the cause of IS, while the promotion of IS stratification makes personalized treatment feasible. The online nomogram based on routine clinical examination indicators of IS patients offered a cost-effective platform for secondary care in the framework of PPPM.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13167-024-00354-8.

Twenty years on from the introduction of the high risk strategy for stroke and cardiovascular disease prevention: a systematic scoping review

BACKGROUND AND PURPOSE

Early this century, the high risk strategy of primary stroke and cardiovascular disease (CVD) prevention for individuals shifted away from identifying (and treating, as appropriate) all at-risk individuals towards identifying and treating individuals who exceed arbitrary thresholds of absolute CVD risk. The public health impact of this strategy is uncertain.

METHODS

In our systematic scoping review, the electronic databases (Scopus, MEDLINE, Embase, Google Scholar, Cochrane Library) were searched to identify and appraise publications related to primary CVD/stroke prevention strategies and their effectiveness published in any language from January 1990 to August 2023.

RESULTS

No published randomized controlled trial was found on the effectiveness of the high CVD risk strategy for primary stroke/CVD prevention. Targeting high CVD risk individuals excludes a large proportion of the population from effective blood-pressure-lowering and lipid-lowering treatment and effective CVD prevention. There is also evidence that blood pressure lowering and lipid lowering are beneficial irrespective of blood pressure and cholesterol levels and irrespective of absolute CVD risk and that risk-stratified pharmacological management of blood pressure and lipids to only high CVD risk individuals leads to significant underuse of blood-pressure-lowering and lipid-lowering medications in individuals otherwise eligible for such treatment.

CONCLUSIONS

Primary stroke and CVD prevention needs to be done in all individuals with increased risk of CVD/stroke. Pharmacological management of blood pressure and blood cholesterol should not be solely based on the high CVD risk treatment thresholds. International guidelines and global strategies for primary CVD/stroke prevention need to be revised.

Building Bridges between People with Stroke, Families, and Health Professionals: Development of a Blended Care Program for Self-Management

Evidence-informed interventions for stroke self-management support can influence functional capability and social participation. People with stroke should be offered self-management support after hospital discharge. However, in Portugal, there are no known programs of this nature. This study aimed to develop a person-centered and tailored blended care program for post-stroke self-management, taking into account the existing evidence-informed interventions and the perspectives of Portuguese people with stroke, caregivers, and health professionals. An exploratory sequential mixed methods approach was used, including qualitative methods during stakeholder consultation (stage 1) and co-production (stage 2) and quantitative assessment during prototyping (stage 3). After ethical approval, recruitment occurred in three health units. Results from a literature search led to the adaptation of the Bridges Stroke Self-Management Program. In stage one, 47 participants were interviewed, with two themes emerging: (i) Personalized support and (ii) Building Bridges through small steps. In stage two, the ComVida program was developed, combining in-person and digital approaches, supported by a workbook and a mobile app. In stage three, 56 participants evaluated prototypes, demonstrating a strong level of quality. Understandability and actionability of the developed tools obtained high scores (91-100%). The app also showed good usability (A-grade) and high levels of recommendation (5 stars).

Embracing virtual reality in rehabilitation of post-stroke aphasia

About one-third of stroke survivors experience aphasia, i.e., language dysfunction caused by brain damage. Aphasia affects not only a person's ability to communicate, but it often leads to the inability to return to work, loss of close relationships, diminished quality of life, negative self-perception, and depression. Yet persons with aphasia are globally underserved due to limited access to resources, which limits their chance for recovery. Immersive virtual reality (VR) has the potential to solve this problem and deliver efficient, personalized treatments to millions of people worldwide who need access to rehabilitation services or more flexibility in treatment delivery. To reduce the global burden of stroke experts recommend taking bold, pragmatic actions across all four pillars of stroke quadrangle-surveillance, prevention, acute care, and rehabilitation. Embracing immersive VR-based rehabilitation of poststroke aphasia would be one step in that direction.

Designing machine learning for big data: A study to identify factors that increase the risk of ischemic stroke and prognosis in hypertensive patients

Background

Ischemic stroke (IS) accounts large amount of stroke incidence. The aim of this study was to discover the risk and prognostic factors that affecting the occurrence of IS in hypertensive patients.

Method

Study data were obtained from the Medical Information Mart for Intensive Care (MIMIC)-IV database. To avoid biased factors selection process, several approaches were studied including logistic regression, elastic net regression, random forest, correlation analysis, and multifactor logistic regression methods. And seven different machine-learning methods are used to construct predictive models. The performance of the developed models was evaluated using AUC (Area Under the Curve), prediction accuracy, precision, recall, F1 score, PPV (Positive Predictive Value) and NPV (Negative Predictive Value). Interaction analysis was conducted to explore potential relationships between influential factors.

Results

The study included 92,514 hypertensive patients, of which 1746 hypertensive patients experienced IS. The Gradient Boosted Decision Tree (GBDT) model outperformed the other prediction model terms of prediction accuracy and AUC values in both ischemic and prognosis cases. By using the SHapley Additive exPlanations (SHAP), we found that a range of factors and corresponding interactions between factors are important risk factors for IS and its prognosis in hypertensive patients.

Conclusion

The study identified factors that increase the risk of IS and poor prognosis in hypertensive patients, which may provide guidance for clinical diagnosis and treatment.

Dry needling combined with exercise therapy: Effects on wrist flexors spasticity in post-stroke patients - A randomized controlled trial

BACKGROUND

The positive contribution of dry needling (DN) in conjunction with exercise therapy for patients with stroke and spasticity remains uncertain.

OBJECTIVE

To examine the effects of DN combined with exercise therapy on wrist flexor spasticity and motor function in patients with stroke.

METHODS

Twenty-four participants with stroke were randomly assigned to either the DN and exercise therapy group or the DN alone group. Assessments were conducted at baseline, after the 4th treatment session, and 3 weeks post-treatment.

RESULTS

A significant Group×Time interaction was observed for wrist active range of motion (ROM) (P = 0.046), favoring the DN with exercise therapy group (∼10° at baseline, ∼15° immediately after the 4th session, and 15.4° at follow-up). The improvements in spasticity, passive ROM, and H-reflex latency were sustained during follow-up. However, there were no significant between-group differences in any outcome at any measurement time point.

CONCLUSION

The combined DN and exercise therapy did not exhibit superiority over DN alone concerning spasticity severity and motor function. However, it demonstrated additional advantages, particularly in improving motor neuron excitability and wrist passive extension.

Acute effect of shockwave therapy on plantar pressure distribution and balance in hemiparetic individuals

Abstract Introduction: Cerebral vascular accident (CVA) is the second leading cause of death and is one of the diseases that most generate disability Hemiparesis is the most common motor deficit, and one of its characteristics is asymmetry in weight bearing and in the plantar sup-port area, leading to balance deficits. extracorporeal shock-wave therapy (ESWT) has been shown to be effective in reducing post-stroke spasticity. Objective: To evaluate the effect of a ESWT session on the distribution of plantar pressure and on the static and dynamic balance of hemiparetic individuals after stroke. Methods: Twelve individuals with hemiparesis as a result of stroke in the chronic stage participated in the study. Data collection was divided into two days. On the first day, anamnesis and tests were performed: timed up and go (TUG), four square step test (FSST), and short physical performance battery (SPPB). After carrying out the tests, the distribution of plantar pressure was evaluated using baropodometry. Also on the first day, participants received ESWT in the muscle belly of the gastrocnemius muscle on the hemiparetic side. At the end of the ESWT session and after 7 days, the individuals were reassessed. Results: The results referring to the static and dynamic balance and baropodometry evaluations performed before, immediately after and one week after the application of ESWT did not show a significant difference between the three evaluations in any of the tests and in any of the moments performed. Conclusion: One ESWT session did not affect plantar pressure distribution and static and dynamic balance of hemiparetic individuals after stroke.

Universal Prevention of Dementia in Italy: A Document Analysis of the 21 Italian Regional Prevention Plans

BACKGROUND

Up to 40% of dementia cases are theoretically avoidable and population-level interventions (i.e., universal prevention) are a key component in facing the global public health challenge of dementia. However, information on the agenda for the universal prevention of dementia at the national and sub-national levels is still lacking.

OBJECTIVES

We aim to provide a comprehensive description of the universal prevention strategies specific to dementia in Italian regions and autonomous provinces (APs).

DESIGN

We conducted a document analysis of the 21 Italian Regional Prevention Plans (RPPs), with a focus on interventions that target potentially modifiable risk factors for dementia. We analysed the final version of the documents, which were previously downloaded from the dedicated section of the Italian Ministry of Health website in January 2023. We classified the interventions as direct, indirect, or absent. Additionally, we created a quality checklist to outline the essential programmatic elements and applied it to summarise the key findings of the RPPs.

MEASUREMENTS

We reported the number of population-level interventions specific for dementia with sub-national detail. We reported information on the risk factor targeted by the interventions, the age groups and populations they were designed for. We summarized the presence or absence of 63 programmatic items using a four-domain checklist.

RESULTS

We identified 248 interventions for dementia prevention among the assessed RPPs: 100% of the plans addressed physical inactivity; 30-35% addressed smoking, alcohol, obesity, and social isolation; 25% addressed hypertension, diabetes, and air pollution; only 5-10% addressed education, depression, and hearing loss. Most interventions targeted the general population. Quality checklist scores significantly varied among regions, with demographics and prevention strategies domains scoring higher than disease burden and intervention feasibility ones.

CONCLUSIONS

The population-level interventions in the Italian Regional Prevention Programs dedicated to dementia prevention primarily focus on vascular risk factors, with limited coverage of dementia-specific factors such as traumatic brain injury and hearing loss. This data should be considered when planning future interventions for dementia prevention.

[Features of primary and recurrent ischemic stroke in men aged 18-50 years]

OBJECTIVE

To evaluate the features of primary and recurrent stroke in men aged 18-50 years with atherothrombotic, lacunar, and cardioembolic subtypes.

MATERIAL AND METHODS

A total of 125 men with primary and recurrent stroke were included in the study. The main vascular risk factors and lifestyle-related risk factors were assessed. Neurological, neuroimaging, ultrasound and laboratory examinations were performed. Hemostasis parameters, lipid metabolism and endothelial function parameters were studied.

RESULTS

Among 125 men with ischemic stroke with a median age of 43 years, 104 (83.2%) patients had a primary stroke and 21 (16.8%) patients had a recurrent stroke. Recurrent stroke occurred more frequently in patients with the cardioembolic subtype (26.3%) and with almost equal frequency in patients with the atherothrombotic (13.3%) and lacunar (17.4%) subtypes. In the group as a whole, patients with primary and recurrent strokes did not differ in age (43.1±5.5 and 43.7±4.3 years, respectively). In a comparative analysis of patients with primary and recurrent stroke with different subtypes of stroke, significant differences in the main risk factors, indicators of lipid metabolism, hemostasis and endothelial function were obtained.

CONCLUSION

The study in men, aged 18-50 years, with atherothrombotic, lacunar and cardioembolic subtypes revealed the features of risk factors, indicators of hemostasis system, lipid metabolism and endothelial function in primary and recurrent stroke.

Quality Metrics in Acute Stroke: Time to Own

How to cite this article: Ahmed A. Quality Metrics in Acute Stroke: Time to Own. Indian J Crit Care Med 2023;27(11):786-787.