Clinical trials: Depth of Anesthesia Monitors
Anesthesia Awareness
Heart Rate Variability to Quantify General Anesthesia Depth
The shortage of anesthetic agents can lead to intraoperative awareness while overdosing can trigger severe intra and postoperative problems.
- Trial name
- NCT04788732
- Testing
- ECG and EEG monitoring
- Where
- Brazil
- Volunteers
- 200 people
- Sponsor
- University of Sao Paulo
Anesthesia, Child
Performance Evaluation of the Depth of Anesthesia Monitors in Pediatric Surgery
The purpose of this study is to determine how Bispectral index (BIS) and Entropy EEG monitors agree between themselves and with end-tidal concentration of sevoflurane (ETsevo) in relationship with the age in the pediatric surgery…
- Trial name
- NCT02240368
- Where
- Italy
- Volunteers
- 50 people
- Sponsor
- University of Foggia
Depth of Anesthesia Monitor
Comparison of BIS and PIS in Children
Comparison of bispectral index and patient sedation index during general anesthesia in children
- Trial name
- NCT03792334
- Testing
- depth of anesthesia
- Where
- 2 sites in South Korea
- Volunteers
- 50 people
- Sponsor
- Seoul National University Hospital
General Surgery, Anaesthesia
BIS Monitoring of the Depth of Anaesthesia in Children
General anaesthesia (GA) is, according to many definitions, the greatest gift presented to the medical art (S. B. Nuland). One of the aims of GA is to achieve the optimal depth of anaesthesia and rapid emergence from general…
- Trial name
- NCT02664142
- Testing
- BIS Group, Non-BIS Group, Anaesthetics
- Where
- Czechia
- Volunteers
- 220 people
- Sponsor
- University Hospital Ostrava
Traumatic Brain Injury, Subarachnoid Hemorrhage
Comparison of Narcotrend and Cerebral Function Analysing Monitor in Intensive Care to Monitor Seizures and Deep Sedation
A study in the use of the Narcotrend depth of anaesthesia monitor to record a) seizures, and b) monitor a level of sedation referred to as 'burst suppression', in sedated patients in the adult and paediatric intensive care.
- Conditions
- Traumatic Brain Injury, Subarachnoid Hemorrhage, Intracerebral Haemorrhage, Encephalitis
- Trial name
- NCT06067750
- Testing
- Narcotrend compared to Cerebral Function Analysing Monitor (CFAM)
- Where
- United Kingdom
- Volunteers
- 44 people
- Sponsor
- Nottingham University Hospitals NHS Trust
Emergence Delirium (Derlenme Deliryumu)
Brain Monitors to Reduce Child Confusion After Anesthesia
The goal of this clinical trial was to learn if using a brain monitor to adjust anesthesia (sleep medicine) during surgery could prevent emergence delirium (severe confusion and agitation upon waking) in children aged 2 to 12…
- Trial name
- NCT07826559
- Testing
- BIS-Guided Anesthesia, Standard Care Anesthesia
- Where
- Turkey (Türkiye)
- Volunteers
- 125 people, healthy volunteers welcome
- Sponsor
- Baskent University
Anesthesia, Anesthesia Awareness
Pediatric Validation of CONOX Monitor During Surgery
Pediatric Validation of CONOX Monitoring device (qCON and qNOX indices) for anesthesia depth during surgery
- Conditions
- Anesthesia, Anesthesia Awareness, Nociceptive Pain, Pediatric ALL
- Trial name
- NCT04826146
- Testing
- Validation of qCON versus BIS
- Where
- 2 sites in Spain
- Volunteers
- 65 people, healthy volunteers welcome
- Sponsor
- Patricio Gonzalez Pizarro
Postoperative Nausea, Postoperative Vomiting
Influence of Monitoring the Depth of General Anesthesia Upon the Incidence of PONV and Emergence Delirium in Children Undergoing Endoscopic Adenoidectomy in General Anesthesia
The study has been designed as a prospective randomized clinical trial. Due to the use of a bispectral (BIS) monitor in the interventional arm, the study will not be blinded for the anesthetist.
- Conditions
- Postoperative Nausea, Postoperative Vomiting, Emergence Delirium
- Trial name
- NCT04466579
- Testing
- BIS monitor, Standard care
- Where
- Czechia
- Volunteers
- 100 people
- Sponsor
- University Hospital Ostrava
Intraoperative Hypotension, General Anesthesia
Deep Learning Models for Prediction of Intraoperative Hypotension Using Non-invasive Parameters
The investigators aimed to investigate the deep learning model to predict intraoperative hypotension using non-invasive monitoring parameters.
- Trial name
- NCT05762237
- Where
- South Korea
- Volunteers
- 5,175 people
- Sponsor
- Samsung Medical Center