Artificial Intelligence in Subarachnoid Hemorrhage
AISAH
Using Machine Learning With Heart Rate Variability Signals to Detect Delayed Cerebral Ischemia After Subarachnoid Hemorrhage
1 other identifier
observational
64
1 country
1
Brief Summary
The overall aim of this study is to, with the help of computer/data scientist and machine learning processes, analyse collected heart rate variability data in order to evaluate whether specific patterns could be found in patients developing delayed cerebral ischemia after subarachnoid hemorrhage.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Oct 2015
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 1, 2015
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 1, 2016
CompletedStudy Completion
Last participant's last visit for all outcomes
May 1, 2020
CompletedFirst Submitted
Initial submission to the registry
May 26, 2020
CompletedFirst Posted
Study publicly available on registry
June 4, 2020
CompletedSeptember 3, 2020
September 1, 2020
1 year
May 26, 2020
September 1, 2020
Conditions
Outcome Measures
Primary Outcomes (1)
HRV data analysed by artificial intelligence for detection of DCI
Variability of the time of R-R intervals of each heartbeat is measured.
2020
Study Arms (2)
Delayed cerebral ischemia
Patients with subarachnoid hemorrhage that develop delayed cerebral ischemia
Non delayed cerebral ischemia
Patients with subarachnoid hemorrhage that do not develop subarachnoid hemorrhage
Interventions
Eligibility Criteria
Adult patients with aneurysmal subarachnoid hemorrhage, admitted to the Intensive Care Unit at Sahlgrenska University Hospital.
You may qualify if:
- Adult patients
- aneurysmal subarachnoid hemorrhage
- admitted to Neurointensive care unit at Sahlgrenska University Hospital, Gothenburg, Sweden
You may not qualify if:
- cardiac arrythmias
- use of pacemaker
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Sahlgrenska University Hospital
Gothenburg, 41345, Sweden
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Miroslaw Staron, Prof
Göteborg University
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 26, 2020
First Posted
June 4, 2020
Study Start
October 1, 2015
Primary Completion
October 1, 2016
Study Completion
May 1, 2020
Last Updated
September 3, 2020
Record last verified: 2020-09
Data Sharing
- IPD Sharing
- Will not share