New Insights into Cerebrovascular Disease

A special issue of Medicina (ISSN 1648-9144). This special issue belongs to the section "Neurology".

Deadline for manuscript submissions: 16 February 2026 | Viewed by 1305

Special Issue Editor


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Guest Editor
Neurovascular Pathophysiology, Centro Nacional Investigaciones Cardiovasculares, Madrid, Spain
Interests: stroke; immunology; Alzheimer´s disease; thrombosis

Special Issue Information

Dear Colleagues,

Cerebrovascular disease (CVD) encompasses a broad spectrum of conditions that involve the brain's blood vessels, including ischemic stroke, hemorrhagic stroke, small-vessel disease, and vascular dementia. These diseases have historically been a major challenge for public health, primarily due to their significant impact on morbidity, mortality, and long-term disability. With the aging global population and increasing prevalence of vascular risk factors such as hypertension, diabetes, and hyperlipidemia, the burden of CVD continues to rise. While considerable progress has been made in understanding some aspects of these conditions, key issues such as early detection, effective prevention strategies, and optimal therapeutic interventions remain inadequately addressed. This underscores the urgent need for continued research into the underlying mechanisms of these diseases and the development of novel diagnostic and therapeutic approaches.

This Special Issue seeks to consolidate recent advances in the field of cerebrovascular disease and offer new insights that can improve clinical outcomes. It invites both original research articles and comprehensive review papers that delve into the molecular, cellular, and physiological mechanisms that contribute to the development and progression of CVD. We particularly encourage contributions that explore cutting-edge areas of research, such as neurovascular coupling, endothelial dysfunction, and the role of neuroinflammation and immune responses in cerebrovascular pathology. Additionally, this Special Issue will feature studies on the latest advances in imaging technologies, including functional neuroimaging, advanced MRI techniques, and new methods for assessing blood–brain barrier permeability.

We aim to highlight innovations in diagnostic strategies, with a focus on precision medicine approaches and biomarkers that can aid in early detection and risk stratification of CVD. Artificial intelligence (AI) and machine learning are also emerging as powerful tools for improving cerebrovascular disease diagnosis and management; therefore, we encourage submissions that address the role of AI in this field. Furthermore, we welcome papers that explore novel therapeutic strategies, such as neuroprotective agents, stem cell therapies, and gene-editing techniques, which have the potential to reshape treatment paradigms.

The scope of this Special Issue extends beyond fundamental research, also covering clinical studies that investigate therapeutic interventions, rehabilitation techniques, and the effectiveness of pharmacological or non-pharmacological treatments. We encourage high-quality studies from diverse populations, particularly those that examine disparities in CVD prevalence, outcomes, and treatment efficacy across different demographic groups. Studies that focus on the translation of basic science discoveries into clinical applications are especially welcomed, as they have the potential to bridge the gap between laboratory research and real-world patient care.

Systematic reviews and meta-analyses that synthesize existing literature and provide evidence-based insights into the efficacy of treatments, diagnostic modalities, or intervention strategies are also invited. By offering a comprehensive view of the current state of the field, we aim to provide a foundation for future research that will lead to improved outcomes for patients suffering from cerebrovascular disease.

Through this Special Issue, we aim to foster interdisciplinary collaboration and stimulate innovative discussions among researchers, clinicians, and healthcare providers. By shedding light on emerging discoveries and new technologies, we hope to accelerate progress in understanding, diagnosing, preventing, and treating cerebrovascular diseases.

We look forward to your submissions.

Dr. Carolina Peña-Martínez
Guest Editor

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Keywords

  • cerebrovascular disease
  • stroke
  • small-vessel disease
  • vascular dementia
  • neuroinflammation

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Published Papers (2 papers)

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Research

14 pages, 589 KB  
Article
The Diagnostic and Prognostic Value of Reticulated Platelets in Ischemic Stroke: Is Immature Platelet Fraction a New Biomarker?
by Fatih Cemal Tekin, Osman Lütfi Demirci, Emin Fatih Vişneci, Abdullah Enes Ataş, Hasan Hüseyin Kır, Hasan Basri Yıldırım, Çiğdem Damla Deniz, Demet Acar, Said Sami Erdem and Mehmet Gül
Medicina 2025, 61(10), 1887; https://doi.org/10.3390/medicina61101887 - 21 Oct 2025
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Abstract
Background and Objectives: Ongoing efforts to develop early diagnostic tools for Acute Ischemic Stroke (AIS) point out the advantages of accessible biomarkers such as Immature Platelet Fraction (IPF). This is particularly important for emergency department (EDs), especially those that are overcrowded and [...] Read more.
Background and Objectives: Ongoing efforts to develop early diagnostic tools for Acute Ischemic Stroke (AIS) point out the advantages of accessible biomarkers such as Immature Platelet Fraction (IPF). This is particularly important for emergency department (EDs), especially those that are overcrowded and have limited resources. The present study aimed to evaluate the diagnostic, prognostic, and therapeutic significance of IPF in patients with AIS presenting to the ED. Materials and Methods: This prospective case–control study was conducted in an ED. Participants aged 18-years and older who presented with complaints of numbness, weakness, diplopia or visual disturbances, speech or comprehension impairment, confusion, imbalance, impaired coordination and gait, or dizziness were included in the study. The diagnostic value of IPF in AIS and its relationship with short-term prognosis (STP) were investigated. Additional variables potentially associated with parameters such as infarct localization, number of lesions, affected hemisphere, main artery status, carotid status and treatment method were also analyzed. Results: The median age of the study participants was 67 years (Q1 = 54, Q3 = 76), with 48.9% (n = 88) being female and 51.1% (n = 92) male. Receiver operating characteristic curve analysis demonstrated that IPF was statistically significantly superior to other complete blood count parameters in the diagnostic evaluation of AIS. The diagnostic cutoff value of IPF for AIS was calculated as 2.45. An increase of 1 unit in IPF was found to raise the likelihood of AIS by 2.599 times. The Ratio of Red Cell Distribution Width (RDW) to IPF and NEU to IPF, mean corpuscular volume, and infarct volume were found to be significant predictors in STP assessment. Conclusions: Although not definitive alone, IPF may aid early stroke recognition, support treatment monitoring, and inform targeted therapies. The use of IPF, a biomarker that can be rapidly obtained, in the diagnosis of AIS is expected to yield beneficial outcomes in patient management, particularly in emergency departments and other clinical settings. Full article
(This article belongs to the Special Issue New Insights into Cerebrovascular Disease)
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20 pages, 1308 KB  
Article
Cognitive and Emotional Impairments in Acute Post-Stroke Patients—A Cross-Sectional Study
by Maja Ibic, Lara Miklič, Sofia Rakusa, Jan Zmazek, Marija Menih, Kim Caf and Martin Rakusa
Medicina 2025, 61(10), 1739; https://doi.org/10.3390/medicina61101739 - 24 Sep 2025
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Abstract
Background and Objectives: Stroke is widely recognised for its physical consequences. However, cognitive and emotional impairments, such as depression, anxiety, and vascular cognitive impairment (VCI), are often under-recognised and under-treated. Our study aimed to identify and characterise cognitive and emotional sequelae in [...] Read more.
Background and Objectives: Stroke is widely recognised for its physical consequences. However, cognitive and emotional impairments, such as depression, anxiety, and vascular cognitive impairment (VCI), are often under-recognised and under-treated. Our study aimed to identify and characterise cognitive and emotional sequelae in patients hospitalised for acute ischemic stroke. Materials and Methods: We conducted a cross-sectional study involving 73 patients within seven days of an acute ischemic stroke. Patients were assessed using the National Institutes of Health Stroke Scale (NIHSS), modified Rankin Scale (mRS), Montreal Cognitive Assessment (MoCA), Hachinski Ischemic Score (HIS), and the Clinical Assessment of Depression (CAD) questionnaire, which includes four subscales (Depressed Mood (DM), Anxiety/Worry, Disinterest, and Physical Fatigue). K-means clustering was applied to ten standardised clinical and psychometric variables. In addition, multiple linear regression was performed to determine independent predictors of cognitive and affective outcomes, with MoCA and CAD-DM as dependent variables. Results: Three distinct patient profiles emerged: (1) Mild Impairment Profile, characterised by minimal cognitive or emotional symptoms; (2) Depressive Profile, marked by elevated emotional symptom scores despite mild physical impairment; and (3) Vascular Cognitive Impairment Profile, comprising older patients with the most severe cognitive and functional deficits. ANOVA confirmed significant differences between groups in NIHSS, mRS, MoCA, HIS, and CAD scores, but not for age or education. Linear regression revealed that older age (β = –0.10, p = 0.012) and higher NIHSS at discharge (β = –0.72, p = 0.020) predicted lower MoCA scores, whereas years of education (β = 0.58, p = 0.013) predicted better cognition (R2 = 0.29). No demographic or clinical factors predicted depressive symptoms (all p > 0.29). Conclusions: Our study highlights the heterogeneity of post-stroke outcomes. Neuropsychiatric impairments may be present even in patients with minimal physical deficits and require targeted evaluation and management. Full article
(This article belongs to the Special Issue New Insights into Cerebrovascular Disease)
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