Cerebrovascular Accident (CVA) Clinical Trial
— StrokecopilotOfficial title:
Strokecopilot: A Precision Medicine Tool in the Stroke Emergency
NCT number | NCT05534295 |
Other study ID # | 8589 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | May 10, 2022 |
Est. completion date | December 31, 2023 |
Ischemic stroke or cerebral infarction (CI) is an immediate emergency affecting approximately 100,000 - 150,000 patients each year in France and is managed in the neurovascular intensive care unit (NICU). Recanalization treatments can prevent disability, but patients must be carefully selected. Knowledge in this field is evolving rapidly, which tends to make management more complex and personalized. In addition, the permanence of thrombolysis channels involves neurologists of all expertise. Decision support tools are desirable to enable precision medicine in stroke. Strokecopilot is a web application developed by the principal investigator. Its algorithm contextualizes the patient in a set of evidence-based medicine references (recommendations and clinical trials) and gives the result of their cross-referencing to the user to indicate theoretical indications for intravenous thrombolysis and mechanical thrombectomy.
Status | Recruiting |
Enrollment | 10000 |
Est. completion date | December 31, 2023 |
Est. primary completion date | December 2023 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion criteria: - Adult patient (>18 years old) admitted to the thrombolysis unit of the University Hospital of Strasbourg from January 01, 2017 to December 31, 2021 Exclusion criteria: - Subjects who have expressed their opposition to the use of their data for scientific research purposes. |
Country | Name | City | State |
---|---|---|---|
France | Service : Unité Neurovasculaire - CHU de Strasbourg - France | Strasbourg |
Lead Sponsor | Collaborator |
---|---|
University Hospital, Strasbourg, France |
France,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Retrospective analysis of thrombolysis data for the development of an algorithm to detect thrombolysis | Files analysed retrospectively from January 01, 2017 to December 31, 2021 will be examined |
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