Surgery Clinical Trial
— CIDAI-BASOfficial title:
Detection of Cerebral Ischemia With Artificial Intelligence- Biomarkers as Indicators in Controlled Cerebral Ischemia and Reperfusion.
NCT number | NCT03919370 |
Other study ID # | CIDAI-BAS |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | October 1, 2020 |
Est. completion date | December 2026 |
In patients undergoing planned surgery for carotid tromendarterendectomy, a non-invasive device that registers heart rate variability is attached. Furthermore a non-invasive device that monitors cerebral oxygenation- near infrared spectroscopy as well as electroencephalography is also attached. At times when surgeons clamps the carotid artery, there will be a moment with controlled cerebral ischemia. This will be registered by the devices. The information obtained will be used to teach artificial intelligence what patterns are related to cerebral ischemia. The same procedure will be performed in patients undergoing ocklusive cerebral trombectomy, so the artificial intelligence will learn to recognize cerebral reperfusion.Blood samples will be drawn before and after cerebral ischemia may occur and will be analyzed for neurobiomarkers and cardiac biomarkers. To teach the algorithm patterns from anaesthesia and surgery in patients without pre existing neuronal injury, the same method will be applied to patients undergoing mixed abdominal surgery. This group will provide a better knowledge of neuro biomarker patterns during anesthesia and surgery.
Status | Recruiting |
Enrollment | 20 |
Est. completion date | December 2026 |
Est. primary completion date | December 2025 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years to 100 Years |
Eligibility | Inclusion Criteria: - Patients planned for carotid surgery or trombectomy - Giving informed consent to participate Exclusion Criteria: - Patients that do not consent Patients with arrythmia or pacemaker |
Country | Name | City | State |
---|---|---|---|
Sweden | Sahlgrenska University hospital | Gothenburg |
Lead Sponsor | Collaborator |
---|---|
Linda Block | Göteborg University |
Sweden,
Block L, El-Merhi A, Liljencrantz J, Naredi S, Staron M, Odenstedt Herges H. Cerebral ischemia detection using artificial intelligence (CIDAI)-A study protocol. Acta Anaesthesiol Scand. 2020 Oct;64(9):1335-1342. doi: 10.1111/aas.13657. Epub 2020 Jul 2. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Heart Rate variability | Changes in Heart Rate Variability from baseline. | 2020-2030 | |
Primary | Near infrared spectroscopy | Changes in Near Infrared spectroscopy from baseline. | 2020-2030 | |
Primary | Electroencephalography | Changes in electroencephalography from baseline, more precisely the Power in alpha bands, beta band, delta bands and quotas between these. | 2020-2030 | |
Primary | Biomarkers indicating cerebral ischemia in blood | Changes in levels of biomarkers in blood from baseline. Total tau, neurofilament light chains, glial fibrillary acidic protein, S-100, neuron specific endolas. | 2020-2030 | |
Primary | Biomarkers indicating cardiac ischemia in blood | Changes in levels of biomarkers in blood from baseline. Troponin T | 2020-2030 |
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