Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Friday, July 7, 2023

Smartwatches Able to Detect Very Early Signs of Parkinson's

 With your risk of Parkinsons post stroke it is your doctor's responsibility to detect this early so interventions can be applied

Your risk of Parkinsons here:

Parkinson’s Disease May Have Link to Stroke March 2017 

The latest here:

Smartwatches Able to Detect Very Early Signs of Parkinson's

Changes in movement detected passively by smartwatches can help flag Parkinson's disease (PD) years before symptom onset, new research shows.

An analysis of wearable motion-tracking data from UK Biobank participants showed a strong correlation between reduced daytime movement over 1 week and a clinical diagnosis of PD up to 7 years later.

"Smartwatch data is easily accessible and low-cost. By using this type of data, we would potentially be able to identify individuals in the very early stages of Parkinson's disease within the general population," lead researcher Cynthia Sandor, PhD, from Cardiff University, said in a statement.

"We have shown here that a single week of data captured can predict events up to seven years in the future. With these results we could develop a valuable screening tool to aid in the early detection of Parkinson's," she added.

"This has implications both for research, in improving recruitment into clinical trials, and in clinical practice, in allowing patients to access treatments at an earlier stage, in future when such treatments become available," said Sandor.

The study was published online July 3 in Nature Medicine.

Novel Biomarker for PD

Using machine learning, the researchers analyzed accelerometry data from 103,712 UK Biobank participants who wore a medical-grade smartwatch for a 7-day period in 2013 to 2016.

At the time of or within 2 years after accelerometry data collection, 273 participants were diagnosed with PD. An additional 196 individuals received a new PD diagnosis more than 2 years after accelerometry data collection (the prodromal group).

The patients with prodromal symptoms of PD and those who were diagnosed with PD showed a significantly reduced daytime acceleration profile up to 7 years before diagnosis, compared with age- and sex-matched healthy control persons, the researchers found.

The reduction in acceleration both before and following diagnosis was unique to patients with PD, "suggesting this measure to be disease specific with potential for use in early identification of individuals likely to be diagnosed with PD," they write.

Accelerometry data proved more accurate than other risk factors (lifestyle, genetics, blood chemistry) or recognized prodromal symptoms of PD in predicting whether an individual would develop PD.

"Our results suggest that accelerometry collected with wearable devices in the general population could be used to identify those at elevated risk for PD on an unprecedented scale and, importantly, individuals who will likely convert within the next few years can be included in studies for neuroprotective treatments," the researchers conclude in their article.

High-Quality Research

Weighing in on the results in a statement from the UK-based nonprofit Science Media Centre, José López Barneo, MD, PhD, with the University of Seville, Spain, said this "good quality" study "fits well with current knowledge."

Barneo noted that other investigators have also observed that slowness of movement is a characteristic feature of some people who subsequently develop PD.

But these studies involved preselected cohorts of persons at risk of developing PD, or they were carried out in a hospital that required healthcare staff to conduct the movement analysis. In contrast, the current study was conducted in a very large cohort from the general UK population.

Also weighing in, José Luis Lanciego, MD, PhD, with the University of Navarra, Spain, said the "main value of this study is that it has demonstrated that accelerometry measurements obtained using wearable devices (such as a smartwatch or other similar devices) are more useful than the assessment of any other potentially prodromal symptom in identifying which people in the [general] population are at increased risk of developing Parkinson's disease in the future, as well as being able to estimate how many years it will take to start suffering from this neurodegenerative process.

"In these diseases, early diagnosis is to some extent questionable, as early diagnosis is of little use if neuroprotective treatment is not available," Lanciego noted.

"However, it is of great importance for use in clinical trials aimed at evaluating the efficacy of new potentially neuroprotective treatments whose main objective is to slow down ― and, ideally, even halt ― the clinical progression that typically characterizes Parkinson's disease," Lanciego added.

The study was funded by the UK Dementia Research Institute, the Welsh Government and Cardiff University. Sandor, Barneo and Lanciego have no relevant disclosures.

Nature Med. Published online July 3, 2023. Abstract

 


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