Modeling clinical outcomes in acute stroke patients
Official title: Clinical Outcome Modelling of Rapid Dynamics in Acute Stroke With Joint-detail, Remote, Body Motion Analysis
Run by King's College Hospital NHS Trust · NCT04641286 · Data updated 2026-11-12
This study looks at how body movement affects recovery in people who have had a stroke to see if tracking these changes can lead to better treatment and outcomes.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 8000 (estimated) |
| Sponsor | King's College Hospital NHS Trust Academic / other |
| Locations | 1 site (London) |
| Status | Recruiting |
| Started | July 7, 2021 |
| Main results expected | February 2028 |
| Study ends | February 2028 |
| Registry record updated | October 24, 2024 |
| Trial ID | NCT04641286 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are adults diagnosed with an acute stroke who are admitted to a stroke unit.
✕Probably not a fit
Patients under 18 years of age will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study focuses on understanding the rapid dynamics of clinical outcomes in patients experiencing acute stroke. It aims to characterize the variability in patient outcomes over time, particularly emphasizing the importance of body movement as a key aspect of clinical assessment. By documenting changes in body motion more frequently and accurately, the study seeks to improve treatment strategies tailored to individual patient needs. The ultimate goal is to enhance the delivery of care and improve patient outcomes through innovative approaches.
Why it matters
Potential benefit: If successful, this study could lead to more effective and personalized treatment strategies for stroke patients, ultimately improving recovery outcomes.
How similar studies have gone: While the approach of modeling clinical outcomes in real-time is innovative, similar studies have shown promise in improving treatment outcomes in stroke care.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Putative diagnosis of an acute stroke * Admission on the stroke unit Exclusion Criteria: * Under 18 years of age
Where it's running
-
King's College Hospital NHS Foundation Trust
London, United Kingdom Recruiting
Study contacts
- Study coordinator: Lead Stroke Research Co-ordionator
- Email: kch-tr.kingsresearch@nhs.net
- Phone: 02032999000
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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Deep phenotyping to explore recovery in young adults after stroke
This project will test whether a detailed health and sample-collection approach (deep phenotyping) is practical and acceptable for people aged 18–55 who have had a stroke.
-
Stem cell therapy for chronic stroke recovery
This study is testing whether using a patient's own stem cells can help people with long-term stroke recovery feel better and improve their daily functioning.
-
AI-based tools to help diagnose, treat and predict stroke outcomes across multiple hospitals
This study tests AI-powered tools on real-world stroke patients to see if they can improve pre-hospital triage, diagnosis, and outcome prediction while data stay securely within each hospital.
-
Web-based therapy using action observation and mirror therapy for arm weakness after stroke
This trial tests whether a mobile telerehabilitation app delivering action observation therapy (AOT) alone or combined AOT with mirror therapy (AOT-MT) can improve upper limb function in people with subacute stroke.
-
Remote Ischaemic Conditioning for Fatigue After Stroke 2
Aat least 12 weeks after stroke, adults with post-stroke fatigue will try a simple hand-arm cuff treatment at home to see if it helps reduce fatigue.
-
Dual-task balance training plus computer-based cognitive training after stroke
In adults who recently had a stroke, the study tests whether adding computerized cognitive exercises to balance training improves balance and other recovery outcomes.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.