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Published on: January 15, 2017
Ischemic stroke of unclear aetiology: a case-by-case analysis and call for a multi-professional predictive,
Olga Golubnitschaja1, Pavel Potuznik2, Jiri Polivka3,4
1Predictive, Preventive and Personalised (3P) Medicine, Department of Radiation Oncology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, 53127 Bonn, Germany.
Insights
Stroke is a global epidemic, with millions affected and high mortality. A shift to predictive, preventive, and personalized medicine is crucial for managing stroke and silent brain infarction.
Area of Science:
- Neurology
- Public Health
- Preventive Medicine
Background:
- Stroke is a leading cause of disability and death globally, with increasing prevalence, particularly in younger populations.
- Current reactive approaches are insufficient, as clinically manifested strokes represent only a fraction of the total patient burden.
- Silent lacunar stroke and other underdiagnosed conditions contribute significantly to stroke incidence and associated cognitive impairments.
Purpose of the Study:
- To advocate for a paradigm shift in stroke management from reactive to predictive, preventive, and personalized medicine.
- To highlight the importance of early detection and prevention of silent brain infarction and other sub-optimal health conditions.
- To emphasize the role of multi-disciplinary expertise and innovative technologies in stroke prevention.
Main Methods:
- Consolidation of multi-professional expertise to define key elements for stroke management.
- Integration of predictive diagnostics and targeted prevention strategies for silent brain infarction.
- Application of health risk assessments and AI-driven algorithms for personalized interventions.
Main Results:
- Silent brain infarction is a significant, often undiagnosed, precursor to stroke and cognitive decline.
- Underestimated risk factors and sub-optimal health conditions play a crucial role in stroke development.
- A proactive, multi-faceted approach is essential for effective stroke prevention.
Conclusions:
- A paradigm shift towards predictive, preventive, and personalized medicine is necessary for effective stroke management.
- Early identification and intervention for silent brain infarction and at-risk individuals can reduce stroke incidence and burden.
- Innovative screening programs and AI integration are vital for addressing the growing stroke epidemic, especially in young populations.
Abstract:
Due to the reactive medical approach applied to disease management, stroke has reached an epidemic scale worldwide. In 2019, the global stroke prevalence was 101.5 million people, wherefrom 77.2 million (about 76%) suffered from ischemic stroke; 20.7 and 8.4 million suffered from intracerebral and subarachnoid haemorrhage, respectively. Globally in the year 2019 - 3.3, 2.9 and 0.4 million individuals died of ischemic stroke, intracerebral and subarachnoid haemorrhage, respectively. During the last three decades, the absolute number of cases increased substantially. The current prevalence of stroke is 110 million patients worldwide with more than 60% below the age of 70 years. Prognoses by the World Stroke Organisation are pessimistic: globally, it is predicted that 1 in 4 adults over the age of 25 will suffer stroke in their lifetime. Although age is the best known contributing factor, over 16% of all strokes occur in teenagers and young adults aged 15-49 years and the incidence trend in this population is increasing. The corresponding socio-economic burden of stroke, which is the leading cause of disability, is enormous. Global costs of stroke are estimated at 721 billion US dollars, which is 0.66% of the global GDP. Clinically manifested strokes are only the "tip of the iceberg": it is estimated that the total number of stroke patients is about 14 times greater than the currently applied reactive medical approach is capable to identify and manage. Specifically, lacunar stroke (LS), which is characteristic for silent brain infarction, represents up to 30% of all ischemic strokes. Silent LS, which is diagnosed mainly by routine health check-up and autopsy in individuals without stroke history, has a reported prevalence of silent brain infarction up to 55% in the investigated populations. To this end, silent brain infarction is an independent predictor of ischemic stroke. Further, small vessel disease and silent lacunar brain infarction are considered strong contributors to cognitive impairments, dementia, depression and suicide, amongst others in the general population. In sub-populations such as diabetes mellitus type 2, proliferative diabetic retinopathy is an independent predictor of ischemic stroke. According to various statistical sources, cryptogenic strokes account for 15 to 40% of the entire stroke incidence. The question to consider here is, whether a cryptogenic stroke is fully referable to unidentifiable aetiology or rather to underestimated risks. Considering the latter, translational research might be of great clinical utility to realise innovative predictive and preventive approaches, potentially benefiting high risk individuals and society at large. In this position paper, the consortium has combined multi-professional expertise to provide clear statements towards the paradigm change from reactive to predictive, preventive and personalised medicine in stroke management, the crucial elements of which are:Consolidation of multi-disciplinary expertise including family medicine, predictive and in-depth diagnostics followed by the targeted primary and secondary (e.g. treated cancer) prevention of silent brain infarctionApplication of the health risk assessment focused on sub-optimal health conditions to effectively prevent health-to-disease transitionApplication of AI in medicine, machine learning and treatment algorithms tailored to robust biomarker patternsApplication of innovative screening programmes which adequately consider the needs of young populations.
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