EEG controlled triage in the ambulance for acute ischemic stroke

EEG controlled triage in the ambulance for acute ischemic stroke - ELECTRA-STROKE

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON52630

Enrollment

729

Registered

2018-09-26

Start date

2018-10-04

Completion date

Unknown

Last updated

2026-07-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

cerebral infarction Stroke

Interventions

None listed

Eligibility

Age

18 Years to 99 Years

Inclusion criteria

Inclusion criteria: - Suspected acute ischemic stroke (or known acute ischemic with a large vessel occlusion of the anterior circulation, for phase 3); - Onset of symptoms or, if onset not witnessed, last seen well

Exclusion criteria

Exclusion criteria: Injury or active infection of electrode cap placement area.

Design outcomes

Primary

Measure	Time frame
The primary end point of the study is the area under the ROC curve of the theta/alpha ratio for diagnosis of LVO-a, based on dry electrode EEG performed by paramedics in the ambulance in suspected AIS patients.	—

Secondary

Measure	Time frame
- Sensitivity, specificity, PPV and NPV of the theta/alpha ratio, and test characteristics of other existing EEG data based algorithms for LVO-a detection (e.g. Weighted Phase Lag Index, delta/alpha ratio); - Logistical and technical feasibility of paramedics performing dry electrode cap EEG in the ambulance in suspected AIS patients; - Developing one or more novel EEG data based algorithms with an optimal diagnostic accuracy for LVO-a detection in suspected AIS patients with ambulant dry electrode cap EEG.	—

Measure

Time frame

- Sensitivity, specificity, PPV and NPV of the theta/alpha ratio, and test characteristics of other existing EEG data based algorithms for LVO-a detection (e.g. Weighted Phase Lag Index, delta/alpha ratio); - Logistical and technical feasibility of paramedics performing dry electrode cap EEG in the ambulance in suspected AIS patients; - Developing one or more novel EEG data based algorithms with an optimal diagnostic accuracy for LVO-a detection in suspected AIS patients with ambulant dry electrode cap EEG.

—

Countries

Netherlands

Outcome results