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.

Monday, September 14, 2026

Latent profile classification of cognitive function and its influencing factors in elderly patients with chronic pain after stroke

 Not solving stroke is the absolute stupidity out there!  You're all fired! Your comeuppance/screaming when you are the 1 in 4 per WHO that has a stroke  will be soul satisfying. 

Not solving a well-known problem is inexcusable!

Latent profile classification of cognitive function and its influencing factors in elderly patients with chronic pain after stroke


  • Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China

Abstract


Objectives: 


To identify the latent profile classification of cognitive function in elderly patients with chronic pain after stroke and explore the associated factors for patients in different categories.


Methods: 


Elderly patients with chronic pain after stroke hospitalized in the Department of Neurology of a hospital in Nanjing from August 2025 to January 2026 were selected as research subjects. Data were collected using a General Information Questionnaire, the Montreal Cognitive Assessment (MoCA), Hamilton Anxiety Scale (HAMA), Center for Epidemiological Studies Depression Scale (CES-D), Pain Catastrophizing Scale (PCS), and Elderly Social Participation Scale. Latent Profile Analysis (LPA) was used for patient classification, and multivariate logistic regression analysis was performed to identify predictive factors for different groups (P < 0.05).


Results: 


Patients’ cognitive function was classified into three latent profiles: High Cognitive Function-Low Abstraction Group, Moderate Cognitive Function-Low Orientation Group, and Low Cognitive Function Group. Logistic regression analysis showed that gender, pain type, pain intensity, anxiety, and depression were significant influencing factors of cognitive function across different categories (P < 0.05).


Conclusion: 


There is significant population heterogeneity in the cognitive function of elderly patients with chronic pain after stroke. Medical staff should implement precise interventions for patients in different categories to delay cognitive decline and improve their quality of life.

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