Skip to main content
UK clinical trials - updated daily from ClinicalTrials.gov
TrialConnect
← Back to Search
Looking for participantsN/A

Clinical Outcome Modelling of Rapid Dynamics in Acute Stroke

Sponsor: King's College Hospital NHS Trust

NCT ID: NCT04641286

View on ClinicalTrials.gov ↗

At a glance

What the study gets you
Health checks and monitoring — no treatment given
Type of study
Observational (no treatment given)
Time in hospital
In-person visits at study sites — visit count not specified by the sponsor
Drug or intervention
Body motion categorisation (other)
How long the study runs
Study runs about 79 months (dates as stated)
About the drug or intervention
Body motion categorisation — other: All patients will receive passive motion categorisation monitoring
Patient visit burden
Not specified by the sponsor
Type of study
Observing health over time
Ages
18 Years and over
Who
All
Number of participants
8,000
Started
2021-07-07
Last checked
2024-10

Plain English Summary

What is this study?

  • • Testing a new treatment for stroke
  • • Clinical study - 8,000 participants
  • • 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

Who can take part?

  • • Ages 18 Years and over
  • • Diagnosed with stroke

Where?

  • • London - King's College Hospital NHS Foundation Trust

This is a simplified summary. Always discuss with your doctor before making any decisions.

About This Trial

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.

Stroke

How this trial compares with your answers

Answer 2 more questions to improve match

What we know so far

Condition· Matched your search
Age· Tell us your age for better matching
Gender· Tell us your sex for better matching

Still need:

  • • Tell us your age for better matching
  • • Tell us your sex for better matching

Preliminary match based on your answers. Full eligibility requires on-site assessment including medical history, physical exam, and lab tests. This does not guarantee enrolment.

Eligibility at a Glance

Key info

  • Age: 18 Years and over
  • Who can join: All genders

What the study is looking for

  • ✓Putative diagnosis of an acute stroke
  • ✓Admission on the stroke unit

Who cannot take part

  • ✗Under 18 years of age
See the full criteria
Inclusion Criteria: * Putative diagnosis of an acute stroke * Admission on the stroke unit Exclusion Criteria: * Under 18 years of age

Where Is This Study? (1 UK site)

King's College Hospital NHS Foundation Trust

London, United Kingdom

Recruiting
Hospital R&D contact (matched)

Jasmine Palmer

kch-tr.research@nhs.net0203 299 1980

How to Get in Touch

Lead Stroke Research Co-ordionator

Sponsor contact

CONTACT

02032999000 kch-tr.kingsresearch@nhs.net
Data sourced from ClinicalTrials.gov · Last verified: 2024-10