Status:
NOT_YET_RECRUITING
STOP-stroke: STroke Outcome Prediction in the Acute Treatment Setting
Lead Sponsor:
University of Zurich
Conditions:
Stroke Outcome Prediction Supported by Deep Learning Algorithm
Eligibility:
All Genders
Brief Summary
The STOP-stroke project aims at improving prediction of outcome early after stroke. In order to achieve this, we need to understand reasons (important variables) for prediction in a real clinical prog...
Detailed Description
To avoid irreversible brain damage in acute stroke, neurologists must make treatment decisions under immense time-pressure. In current clinical practice, neurologists decide using visual inspection of...
Eligibility Criteria
Inclusion
- Patients from up to 18 years years of age without any upper age limit.
- Patients with clinical suspicion of acute ischemic stroke (acute onset focal neurological deficit) at the discretion of the paramedic or treating physician within 24 hours of symptom onset including wake-up situation and unclear symptom onset planned for clinically indicated neuroimaging.
- Patients with externally performed neuroimaging before admission or referral to the USZ will be included from the time point N2 on if no refusal of use of data is documented.
Exclusion
- • Patients with documented objection of subsequent use of personal health data or patients who reject the use of personal health data during follow-up after initial informed consent by an independent physician in the acute setting. We will not include patients in the study if there is no written informed consent either from the patient her-/himself, the next of kin or the independent physician.
Key Trial Info
Start Date :
August 1 2024
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
July 30 2027
Estimated Enrollment :
250 Patients enrolled
Trial Details
Trial ID
NCT06534645
Start Date
August 1 2024
End Date
July 30 2027
Last Update
August 2 2024
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