Stroke
Conditions
Brief summary
The purpose of this study is to realize customized precision medicine for stroke patients and the visual digitization of patient medical information required in the era of digital transformation. This study will collect large-scale, high-quality clinical data and daily life exercise pattern data covering the subacute to chronic stages of stroke patients. Based on this, we will use artificial intelligence analysis technology to predict the functional status of stroke patients in the chronic stage after their disability is fixed. We aim to develop the next generation of personalized digital twins by creating a prognostic prediction model.
Interventions
OTHERStroke
No intervention
Sponsors
Seyoung Shin
Study design
Observational model
COHORT
Time perspective
OTHER
Eligibility
Sex/Gender
ALL
Age
20 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Adults over 20 years of age with a history of stroke onset between 2018.01.01 to 2023.07.31. * Patients who exist rehabilitation medical evaluation after stroke onset * Patients who voluntarily decide to participate in this study
Exclusion criteria
* Those who have severe internal diseases such as unstable conditions of the cardiovascular system, digestive system, respiratory system, endocrine system, etc. and are in poor overall condition. * Those who have impaired ability to consent (MMSE score less than 10 points) and not accompanied by a care-giver. * In any other cases where the researcher determines that participation in this study is not appropriate.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Modified Barthel Index (MBI) | minimum 6 months to maximum 6 years | A scale to measure disability or dependence in activities of daily living (ADL) of stroke survivors (range 0-100) |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Mini Mental Status Examination (MMSE) | minimum 6 months to maximum 6 years | Mini-Mental State Examination (MMSE) is a 30-question assessment of cognitive function that evaluates attention and orientation, memory, registration, recall, calculation, language and ability to draw a complex polygon (range 0-30) |
| Functional Ambulatory Category (FAC) | minimum 6 months to maximum 6 years | The Functional Ambulation Categories (FAC) is a 6-point functional walking test that evaluates ambulation ability, determining how much human support the patient requires when walking, regardless of whether or not they use a personal assistive device. (range 0-5) |
Countries
South Korea
Contacts
PRINCIPAL_INVESTIGATORSeyoung Shin, MD
CHA University
Outcome results
None listed