Deans' stroke musings: Explanatory variables to use in a multiple regression analysis to predict stroke patients’ motor FIM score at discharge from convalescent rehabilitation wards: an investigation of patients with a motor FIM score of less than 40 points at admission

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, November 2, 2020

Explanatory variables to use in a multiple regression analysis to predict stroke patients’ motor FIM score at discharge from convalescent rehabilitation wards: an investigation of patients with a motor FIM score of less than 40 points at admission

Damn it all, Quit trying to predict failure to recover. Survivors want 100% recovery. Do the research to get there.

Explanatory variables to use in a multiple regression analysis to predict stroke patients’ motor FIM score at discharge from convalescent rehabilitation wards: an investigation of patients with a motor FIM score of less than 40 points at admission

Makoto Tokunaga, MD, PhD,1
Katsuhiko Sannomiya, PT2
1
Department of Rehabilitation Medicine, Kumamoto Kinoh Hospital, Kumamoto, Japan
2
Department of Physical Therapy, Kumamoto Kinoh Hospital, Kumamoto, Japan

ABSTRACT

Objective:

This study aimed to clarify the explanatory variables to use in a multiple regression analysis to predict improvement in the motor Functional Independence Measure (FIM) during the hospitalization of patients with severe stroke in a convalescent rehabilitation ward.

Methods:

The subjects of this study were 230 patients with stroke with a motor FIM score of less than 40 points at admission. In total, 17 factors were stratified and those with a significant difference in motor FIM effectiveness between stratified groups were used as the explanatory variables of a stepwise regression analysis, which employed the motor FIM score at discharge as the objective variable.

Results:

There were significant differences in motor FIM effectiveness among the 12 factors. The 10 factors selected through a stepwise regression analysis were age, cognitive FIM score at admission, motor FIM score at admission, number of days from onset to admission, modified Rankin Scale before onset, Brunnstrom stage of paralyzed lower limb, body mass index, sitting stability, Japan Coma Scale, and hemispatial neglect.

Conclusion:

It is desirable to use these 10 factors as explanatory variables in multiple regression analyses.