Overview
This study aims to conduct a prospective cohort study on patients with imaging-confirmed ischemic stroke based on the 4S database. The primary objectives are to investigate the incidence, clinical characteristics, risk factors, and pathophysiological mechanisms of young-onset stroke, as well as to analyze the evolving trends in the etiology of young-onset stroke in the Shanghai region over recent years. This includes examining the roles of traditional risk factors (such as hypertension and diabetes) and emerging factors (such as air pollution and lifestyle changes), and exploring the associations between these factors and patient outcomes. Additionally, the study will analyze the association between reperfusion therapies such as intravenous thrombolysis, acute-phase management, and secondary prevention with clinical outcomes. Finally, it will delve into the screening, treatment, and challenges associated with genetic young stroke patients with Farby syndrome, providing comprehensive information for regional stroke prevention and control strategies targeting young stroke patients.
Description
This study is designed as a prospective cohort investigation utilizing data from the 4S database, focusing specifically on patients with imaging-confirmed ischemic stroke who are classified as having young-onset stroke (typically defined as occurring in individuals under 55 years of age). The purpose is to provide a thorough understanding of stroke in younger populations within the Shanghai region through collecting relevant clinical information of patients.
Eligibility
Inclusion Criteria:
- Patients aged 18 years or older diagnosed with acute or subacute ischemic stroke
- The diagnosis of stroke must be confirmed through clinical assessment and imaging examinations
- In cases where imaging examinations are negative or unavailable, the clinical diagnosis of stroke must be confirmed by an experienced neurologist. (4)Patients must sign an informed consent form agreeing to the collection of information.
Exclusion Criteria:
- The amount of missing data exceeds 40% of the data to be entered;
- After enrollment, it is discovered that the study participant does not meet the inclusion criteria or meets any of the exclusion criteria;
- Missing persons