NCT04641286 Clinical Outcome Modelling of Rapid Dynamics in Acute Stroke
| NCT ID | NCT04641286 |
| Status | Recruiting |
| Phase | — |
| Sponsor | King's College Hospital NHS Trust |
| Condition | Stroke |
| Study Type | OBSERVATIONAL |
| Enrollment | 8,000 participants |
| Start Date | 2021-07-07 |
| Primary Completion | 2028-02 |
Eligibility & Interventions
Eligibility Fast-Check
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What to Expect as a Participant
This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.
This trial targets 8,000 participants in total. It began in 2021-07-07 with a primary completion date of 2028-02.
⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.
Brief Summary
Stroke - still the second commonest cause of death and principal cause of adult neurological disability in the Western World - is characterised by rapid changes over time and marked variability in outcomes. A patient may improve or deteriorate over minutes, and the resultant disability may range from an obvious complete paralysis to subtle, task dependent incoordination of a single limb. Unlike many other neurological disorders, stroke can be exquisitely sensitive to prompt and intelligently tailored treatment, rewarding innovation in the delivery of care with real-world, tangible impact on patient outcomes. Optimal treatment therefore requires both detailed characterisation of the patient's clinical picture and its pattern of change over time. Arguably the most important aspect of the patient's clinical picture -- body movement -- remains remarkably poorly documented: quantified only subjectively and at infrequent intervals in the patient's clinical evolution. The combination of artificial intelligence with high-performance computing now enables automatic extraction of a patient's skeletal frame resolved down to major joints, like that of a stick-man, to be delivered simply, safely, and inexpensively, without the use of cumbersome body worn markers. Central to this technology is patient privacy, with the skeletal frame extracted in real time, ensuring no video data, from which patients can be identified, to be stored or transmitted by the device. Our motion categorisation system -- MoCat -- will be used to study the rapid dynamics of acute stroke, seamlessly embedded in the clinical stream. By quantifying the change in motor deficit over time we shall examine the relationship between these trajectories with clinical outcomes and develop predictive models that can support clinical management and optimise service delivery.
Eligibility Criteria
Inclusion Criteria: * Putative diagnosis of an acute stroke * Admission on the stroke unit Exclusion Criteria: * Under 18 years of age
Contact & Investigator
Yee Mah
STUDY CHAIR
King's College Hospital NHS Trust
Frequently Asked Questions
Who can join the NCT04641286 clinical trial?
This trial is open to participants of all sexes, aged 18 Years or older, studying Stroke. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.
Is NCT04641286 currently recruiting?
Yes, NCT04641286 is actively recruiting participants. Contact the research team at kch-tr.kingsresearch@nhs.net for enrollment information.
Where is the NCT04641286 trial being conducted?
This trial is being conducted at London, United Kingdom.
Who is sponsoring the NCT04641286 clinical trial?
NCT04641286 is sponsored by King's College Hospital NHS Trust. The principal investigator is Yee Mah at King's College Hospital NHS Trust. The trial plans to enroll 8,000 participants.
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