Good, then you can expect YOUR COMPETENT? DOCTOR TO HAVE EXACT DEMENTIA PREVNTION PROTOCOLS! Oh, your doctor incompetently doesn't have those? Then find a competent one!
Here's your risk levels.
Will your competent? doctor and hospital ensure proper research occurs that prevents neurodegeneration?
You need this prevention!
Parkinson’s Disease May Have Link to Stroke March 2017
1. A documented 33% dementia chance post-stroke from an Australian study? May 2012.
2. Then this study came out and seems to have a range from 17-66%. December 2013.`
3. A 20% chance in this research. July 2013.
4. Dementia Risk Doubled in Patients Following Stroke September 2018
Do you prefer your doctor, hospital and board of director's incompetence NOT KNOWING? OR NOT DOING?
Tool detects dementia risk in stroke survivors
A simple tool predicts five-year dementia risk in stroke survivors using routine clinic and hospital data, an international team reports.
The analysis drew on more than 2,600 stroke survivors across 12 studies in 10 countries, coordinated through the global Stroke and Cognition Consortium (STROKOG).
Researchers found that a combination of age, sex, education, stroke severity, diabetes and prior stroke can estimate a person’s risk of developing dementia within five years.
Lead author Jess Lo, research associate at the Centre for Healthy Brain Ageing (CHeBA), said the tool fills a crucial gap in stroke care.
“Up to 60 per cent of stroke survivors experience some degree of cognitive impairment within the first year after stroke, and nearly one in three will go on to develop dementia within five years,” said Lo.
“Despite this, stroke follow-up is still focused mainly on physical recovery. Cognitive changes can be subtle, delayed and easily missed—but they are equally disabling.”
Unlike many previous dementia risk models, which can require costly scans or cover only short-term risk, the new model uses information routinely captured in clinical care.
It is available as a simple Excel-based calculator for bedside or follow-up use.
“This is a simple, practical tool that could help doctors identify which patients are most at risk, so they can prioritise cognitive monitoring, early intervention and support,” said Lo.
“Early detection is key. If we can identify people at highest risk, we can intervene earlier, adapt care plans and potentially delay progression to dementia.”
The model showed strong predictive performance across international cohorts, particularly in European and more recent studies, though the team notes further validation is needed in diverse populations, including Asian and low-income regions.
Senior author professor Perminder Sachdev, co-director of CHeBA, said the tool could also inform health policy and resource planning.
“Screening for cognitive impairment in stroke patients is currently recommended, but it is often not implemented due to limited resources,” said Sachdev.
“This tool enables stroke clinicians to quickly estimate a patient’s five-year risk of developing dementia. Based on this risk, clinicians can prioritise follow-up for those at higher risk and arrange cognitive assessments. This approach could allow earlier intervention and potentially improve quality of life for stroke survivors and their families.”
He added that while the tool is promising, further validation is required before routine clinical use.
“As with all prediction models, we need to confirm its accuracy across different populations to ensure reliability and support integration into clinical practice.”
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