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

EEG-based Protocol to Guide Deep Sedation Decreases the Days of Mechanical Ventilation in Patients With SARS-CoV-2 Pneumonia: Randomized Clinical Trial

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.

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

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

Protocol established to guide sedation drug dosification to maintain the patient with a Suppression Rate (SR) less than 1% and a Spectral Edge Frequency 95 over 10 Hz

Patients who succeed the first weaning trial and are extubated without difficulty, according to the WIND trial definition

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

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