JPRN-UMIN000050626
Not yet recruiting
未知
Development of a Prognostic Prediction System for Walking Independence in Patients with Subacute Stroke - Development of a Prognostic Prediction System for Walking Independence in Patients with Subacute Stroke
Fujioka General Hospital0 sites140 target enrollmentApril 1, 2023
ConditionsStroke
Overview
- Phase
- 未知
- Intervention
- Not specified
- Conditions
- Stroke
- Sponsor
- Fujioka General Hospital
- Enrollment
- 140
- Status
- Not yet recruiting
- Last Updated
- 2 years ago
Overview
Brief Summary
No summary available.
Investigators
Eligibility Criteria
Inclusion Criteria
- Not provided
Exclusion Criteria
- •(1\) Patients who had difficulty in walking alone before the stroke. (2\) Those who have difficulty in understanding instructions. (3\) Patients for whom the physician or physiotherapist judged that it is dangerous to evaluate at the time of admission to the unit. (4\) Patients who were able to walk outdoors independently within one week of admission to the convalescent unit.
Outcomes
Primary Outcomes
Not specified
Similar Trials
Recruiting
Not Applicable
Development and Evaluation of Predictive Model for Delirium following surgeryDiseases of the musculoskeletal system and connective tissueKCT0007984Seoul National University Hospital500
Recruiting
Not Applicable
Development of prognostic model for predicting the effect of treatment and survival for elderly patients with gastric cancer using tools of comprehensive geriatric assessment : single center prospective observational studyNeoplasmsKCT0008586Asan Medical Center200
Completed
Not Applicable
Development of an AI-based system for predicting falls and fall-related injuries in hospitalsone (All patients admitted during the study period)JPRN-UMIN000041289Fujita Health University69,291
Recruiting
Not Applicable
Development of a prediction tool for kidney injury in patients with respiratory disorder on different ventilation techniques.Health Condition 1: N178- Other acute kidney failureCTRI/2024/01/061610Faculty SEED grant- Manipal Academy of Higher Education
Completed
Not Applicable
Prediction of Risks in Early onset Pre-eclampsia (PREP)Early onset pre-eclampsiaPregnancy and ChildbirthPre-eclampsiaISRCTN40384046Queen Mary University of London (UK)500