Primary objective: 1. To validate the data quality and diagnostic accuracy of StrokePointer to detect LVO stroke among patients with a suspected stroke in the pre-hospital setting. Secondary objectives:1. To determine the user-…
ID
Source
Brief title
Condition
- Embolism and thrombosis
- Central nervous system vascular disorders
Synonym
Research involving
Sponsors and support
Intervention
- Medical device
N.a.
Outcome measures
Primary outcome
<p>- Proportion of patients with a technically successful EEG dataset: at least 20 seconds of usable EEG (at least 3 electrodes with good skin-electrode quality on either side, no movement artifacts, no muscle artifacts) within a measurement time of 3 minutes.<br>- Diagnostic accuracy of StrokePointer for LVO stroke among patients with a suspected stroke, as measured with AUC as well as sensitivity and specificity.</p>
Secondary outcome
<p>- Positive and negative predictive value of StrokePointer in identifying LVO stroke.<br>- User-friendliness rating of StrokePointer by ambulance personnel and researchers: (1) after the training 80% of the users should be able to start StrokePointer and start measuring EEG-data within 120s. (2) Interviewed users score (a) usability of StrokePointer hardware on average as “makkelijk” (easy) or better, (b) StrokePointer software on average as “duidelijk” (clear) or better.<br>- Incidence of serious adverse device-related events (Safety of StrokePointer). Provided that the device is being used in line with the intended use, there are no occurrences of serious adverse device-related events in the study.<br>- Incidence of skin reactions (Safety of StrokePointer). Number of patients with an (allergic) skin reaction observed at the site of the electrode.<br>- Diagnostic accuracy for identifying LVO stroke within the following subgroups: sex (men vs. women) and age (above vs. below 60), as measured with sensitivity and specificity.<br>- Discriminative power of StrokePointer for ischemic stroke vs stroke mimic as measured with Area under the curve (AUC) as well as sensitivity and specificity.</p>
Background summary
Endovascular thrombectomy (EVT) is the standard treatment for large vessel occlusion (LVO) stroke. However, EVT can only be performed in specialized hospitals and its effect on functional outcome rapidly decreases with passing time (time = brain). Since ambulance personnel cannot determine whether a patient has a stroke that is eligible for EVT, 54% of patients with an LVO stroke are primarily presented at a non-EVT capable hospital. These patients then require interhospital transfer, resulting in average delay in time-to-EVT of 1 hour in the Netherlands. Therefore, providing ambulance personnel with tools to identify patients with a possible LVO stroke in the ambulance, allowing direct transport to an EVT capable hospital, is much needed. Dry electrode electroencephalography (EEG) has shown to have a high diagnostic accuracy for LVO stroke detection among patients with a suspected stroke (area under the receiving operating curve [AUC]: 0.91). However, in 32% of patients EEG signal quality was too poor to analyse. A new portable EEG-based triage device (StrokePointer) has been developed by TrianecT with the aim to collect and analyse EEG data in patients suspected of acute stroke. In this study, we intend to validate the safety and effectiveness of the device.
Study objective
Primary objective:
1. To validate the data quality and diagnostic accuracy of StrokePointer to detect LVO stroke among patients with a suspected stroke in the pre-hospital setting.
Secondary objectives:
1. To determine the user-friendliness of StrokePointer according to ambulance personnel.
2. To determine safety performance of StrokePointer.
3. Diagnostic accuracy and data quality for LVO stroke within the following
subgroups: sex (men vs. women) and age (above vs. below 60).
4. Discriminative power of StrokePointer for ischemic stroke vs. stroke mimic.
Study design
CROSSROADS-EEG is an investigator-initiated, prospective, multi-centre cohort study.
Intervention
StrokePointer EEG device.
Study burden and risks
A single EEG recording will be performed in each patient. An EEG recording is a safe and non-invasive procedure, regularly performed in standard medical practice. The use of dry electrodes makes it possible to perform the
measurement in less than five minutes and cause no to minimal delay. We expect no health risks. The treating physicians and the ambulance personnel will not interpret the EEG recording, therefore the EEG results will not influence choices regarding diagnosis, treatment or the hospital to which the patient is presented. Deferred informed consent will be asked, and if informed consent is given, a case report form (CRF) will be filled out containing information on patient characteristics, medical history, medication use, physical and neurological examination performed by the treating physician, results of imaging studies, diagnosis and treatment as well as logistical and technical information, obtained from the patient, the treating physician and the Emergency Medical Service (EMS). There are no follow up visits. For the patient, there is no benefit of participation in the study.
J. Coutinho
Meibergdreef 9
Amsterdam 1105 AZ
Netherlands
+31 20 566 2004
j.coutinho@amsterdamumc.nl
J. Coutinho
Meibergdreef 9
Amsterdam 1105 AZ
Netherlands
+31 20 566 2004
j.coutinho@amsterdamumc.nl
Trial sites in the Netherlands
Listed location countries
Age
Inclusion criteria
- Suspected acute ischemic stroke as per judgement by the ambulance personnel.
- Age 18 years or older
- Onset of symptoms (or last seen well) <24 hours
- Written informed consent by patient or legal representative (deferred)
Exclusion criteria
- Injuries or infections of the scalp in the area of the electrode cap placement
Design
Recruitment
Medical products/devices used
IPD sharing statement
Plan description
Followed up by the following (possibly more current) registration
No registrations found.
Other (possibly less up-to-date) registrations in this register
No registrations found.
In other registers
Register | ID |
---|---|
ClinicalTrials.gov | NCT06871969 |
CCMO | NL85665.000.23 |
Research portal | NL-005958 |