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EEG Spectral Pattern of Deep Sedation-induced Airway Adverse Effects

Recruiting
Conditions
Procedural Sedation
Interventions
Diagnostic Test: Airmod breathing sound monitoring
Registration Number
NCT05595798
Lead Sponsor
National Taiwan University Hospital
Brief Summary

To investigate the associations bewteen the sedation level and the airway adverse effects by using the EEG, Airmod breath sound monitor and the capnography.

Detailed Description

Deep sedation is mandatory for many invasive procedures such as the digestive endoscopy, bronchoscopy and cystoscopy. However, deep sedation may induce respiratory adverse effects including airway obstruction, hypoventilation and apnea. These respiratory adverse effects, which may occur in more than 20% of high-risk groups (eg, children, the elderly, and patients with sleep apnea), hence, are the major concerns of the anesthetic care. However, It is difficult for clinicians to objectively quantify the sedation level and find the associations of inadequate sedation level and the occurrence of respiratory adverse effects.

Airway obstruction and respiratory rate decline during deep sedation are conventionally monitored by using capnography(EtCO2 waveform). However, previous studies have tracheal breath sound monitoring can achieve better detection accuracy than the capnography. The novel Airmod smart breathing monitor has the functions of breath sound recording, anti-noise signal processing, event recording and respiratory rate analysis and research. Through the continuous breath sound recording, airway adverse effects during sedation may be detected, and these breathing spectrogram can be presented for image analysis. This is helpful for researcher to identify associations between airway adverse effect and the sedation level.

The state-of-art anesthetic depth is determined by using the electroencephalogram (EEG). Both EEG raw data or the EEG spectrogram graphs may be used for quantify the sedation level with respiratory adverse effects. Accordingly, this study aims to investigate the associations between the sedation level and the airway adverse effects by using the EEG monitor, Airmod breath sound monitor and the capnography.

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
60
Inclusion Criteria

Patients undergoing procedural sedation with expected produre time longer than 30 minutes

  • Pediatric group: age 4-8 year-old
  • Geriatric group: age>= 65 year-old
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Exclusion Criteria
  • Preoperative active brain conditions (dementia, Parkinsonism, seizure)
  • A history of nasal or oral tumor
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Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
Pediatric populationAirmod breathing sound monitoringpatient with ages between 4-8 year old
Geriatric populationAirmod breathing sound monitoringpatient with ages above 65-yr
Primary Outcome Measures
NameTimeMethod
Occurence of airway obstruction during sedation0.5-2 hours

Airway obstruction detected by the breath sound monitor or capnography

Occurence of apnea event during sedation0.5-2 hours

Apnea detected by the breath sound monitor or capnography

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

National Taiwan University Hospital

🇨🇳

Taipei, Taiwan

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