Prediction of cerebral blood flow and perfusion with arterial pulse wave applied machine learning

Status

Recruiting

Phases

Unknown

Study type

Interventional

Source

NL-OMON

Registry ID

NL-OMON28924

Enrollment

100

Registered

2021-01-26

Start date

2021-01-24

Completion date

Unknown

Last updated

2024-02-28

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

Conditions

Cerebral Autoregulation

Interventions

6 breaths-per-minute paced breathing

Eligibility

Inclusion criteria

Inclusion criteria: - =18 years of age - Informed consent - Planned for any type of elective surgery under anesthesia.

Exclusion criteria

Exclusion criteria: - Any right-sided structural pathology or reduced function (Tapse <1.5cm) - Severe cardiac arrhythmias (with high heart rate), including atrial fibrillation - Abnormal anatomy of the fingers - Emergency surgery - Allergy for medication used in study protocol - Subjects will be excluded if both noninvasive blood pressure (with the finger cuff) and invasive blood pressure (with an arterial cannula already available due to standard of care) cannot be measured according to the Instructions for Use of the CS/EV1000/HemoSphere system. - Unability to record transcranial Doppler ultrasound due to anatomical variance (~5% of population)

Design outcomes

Primary

Measure	Time frame
Prediction of cerebral blood flow and autoregulation during anaesthesia using machine learning	—

Contacts

Public ContactRokus van den Dool

Amsterdam Universitair Medisch Centrum

r.e.vandendool@amsterdamumc.nl+31 6 25030007

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP)