EEG-based Sedation Protocol for Patients on Mechanical Ventilation Due to SARS-CoV-2 Pneumonia

University of Chile

Status: Completed

Conditions: Sedation Complication; Covid19

Treatments: Other: EEG based protocol for deep sedation

Study type: Interventional

Funder types: Other

Identifiers

NCT04699916

80320

Details and patient eligibility

About

Deep sedation in patients with COVID-19 may be challenging in many aspects. The use of an EEG-based protocol to guide deep sedation may be useful in this particular population, considering their unusually high sedation requirements.

In the present trial, we aim to evaluate an EEG-based protocol to guide deep sedation in patients with COVID19, using to EEG derived parameters that are displayed in the BIS monitor: Suppression Rate and Spectral Edge Frequency.

The protocol is designed to both minimize the suppression rate along with maintaining a spectral edge frequency over 10 Hz. The use of this protocol may reduce the amount of sedatives administered and, therefore, diminish the time needed for the weaning process.

Enrollment: 50 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Patients over 18 years old
• COVID-19 patient requiring mechanical ventilation

Exclusion criteria

• Contraindication to receive propofol or fentanyl
• Chronic Liver Disease Child C
• End-Stage Kidney Chronic Disease

Trial design

Primary purpose: Treatment

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Double Blind

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50 participants in 2 patient groups

Control (Usual care)

No Intervention group

Description:

Sedation will be guided with a standard protocol based on Sedation Agitation Scale already implemented in the Intensive Care Unit

EEG-based sedation protocol

Experimental group

Description:

Sedation will be guided using a protocol based on 2 parameters from the EEG: Suppression Rate and Spectral Edge Frequency

Treatment:

Other: EEG based protocol for deep sedation